08May

Top AI Presentation Generators/Tools – MarkTechPost


The use of artificial intelligence (AI) to power presentation generators has changed presentation creation and delivery in the modern digital era. These technologies use AI to make creating easier, visually appealing, and engaging for the audience. If you want to take your next presentation to the next level, this article will review the fourteen best AI presentation generators. 

Tome 

To make presentations that go beyond simple slide design, you need Tome, an AI-powered tool. It helps users create captivating presentations from the ground up and functions as an AI assistant for collaborative projects. Tome can comprehend your requirements and produce audience-resonant material using OpenAI’s ChatGPT and DALL-E 2 technologies. 

Beautiful.ai 

Most effectively used as an AI-enhanced substitute for Google Slides and PowerPoint. A library of expertly crafted templates and a drag-and-drop interface makes it easy to use. Beautiful.AI can also recommend different ways to display data. 

Plus AI 

Use this tool to make presentations and edit slides in Google Slides with the help of Generative AI. The AI-driven recommendations revolutionize the industry as if you had a presentation assistant. The procedure is quite straightforward: after receiving a prompt to create a personalized outline, you only have to wait a few minutes for the AI to transform it into slides. 

Slides AI 

Slides AI makes creating presentations easier. Users input the text they wish to use into the system. Slides AI’s smart algorithms examine and arrange this text aesthetically, which serves as the presentation’s basis. Thanks to this revolutionary method, users may concentrate on content quality rather than design complexity, boosting efficiency and democratizing design abilities. 

Presentations.AI 

Presentations.AI is a system specifically designed to help users create visually striking presentations. It lets you pick from a number of pre-made design themes and then automatically adds material and images to your slides according to your selection. 

Pitch 

It has a teleprompter, video recording capabilities, and analytics features to help create presentations. Pitch additionally uses AI to enhance the presentation’s flow and provide content recommendations. Create a stunning presentation in little time at all using Pitch’s AI generator. Simply input a prompt, choose a color scheme and font, and then collaborate with your team to make edits and adjustments to your AI-generated deck.

Slidebean 

Slidebean is a web-based application that completely changes the game when creating presentations. Users may make impressive presentations with minimal effort and maximum impact with only a few clicks. Slidebean’s greatest strength is its capacity to keep content production and presentation design completely separate. It is great for companies of all sizes, especially those without a full-time design staff.  

MagicSlides 

One more Google Slides add-on that uses artificial intelligence. Create engaging visualizations from data and generate content from text outlines using MagicSlides. 

Synthesia 

Synthesia is a powerful AI presentation maker with its intuitive design and innovative capabilities. The opportunity to design your very own artificial intelligence avatar is a noteworthy feature. Because of this, you can make your presentation more interesting and unique by including some of your personality. 

Sendsteps 

Simplify your presentation-making with Sendsteps, an AI-powered drag-and-drop builder. Designing an engaging and interactive experience for your audience is more important than merely making presentations. With Sendsteps, you can make your presentation more interesting and interactive by adding interactive components like polls, SMS voting, quizzes, etc. 

Simplified 

With teamwork in mind, Simplified developed an AI presentation creator. AI facilitates smooth teamwork in the creation of presentations. This implies that you and your team may work together in real time, making edits and viewing changes as they happen. 

Prezi  

With the help of Prezi, an AI presentation creator, you can transform your plain old slides into jaw-dropping presentations. Creating an engaging story is more important than merely including slides and text. Prezi’s dynamic flow makes an interesting and unforgettable presentation possible. 

Visme 

Visme is a full-featured creative tool for making movies, infographics, presentations, and more. Its features are powered by AI, like tools for visualizing data and suggestions for content. 

Kroma 

Companies like Apple and eBay frequently utilize Kroma, an AI presentation tool. It provides access to many data visualization components and more than a million creative materials so that you may make a visually breathtaking presentation. Kroma is a great tool to have on hand whether you need to give statistics, an update on a project, or a fresh idea. 


Dhanshree Shenwai is a Computer Science Engineer and has a good experience in FinTech companies covering Financial, Cards & Payments and Banking domain with keen interest in applications of AI. She is enthusiastic about exploring new technologies and advancements in today’s evolving world making everyone’s life easy.




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08May

Chief Information Security Officer at Standard

Role Responsibilities 

Strategy

  • Identify and independently drive strategic change initiatives to deliver on the ICS agenda with a forward-looking view.
  • Develop insightful strategies for engaging business on information security matters, ensure investments are prioritised and funding is approved.
  • Support delivery of the Bank’s enterprise wide risk management plan and strategy.
  • Work with application development organisations to assist in the development of strategies and plans for improving both Architecture and application security.

Business

  • Ensure ICS risks in the respective market are proactively managed and effectively controlled, mitigated and remediated with senior stakeholder’s support and buy-in, in line with Group, Region, Country, Business/Function risk appetite and regulatory driven requirements.
  • Assist in establishing priorities in partnership with the C-level Management and take responsibility for resolving security issues.
  • Ensure that the management of ICS risk is effective and operating efficiently in the respective business / function / region
  • Assist in driving security culture/awareness and help improve readiness for a cyber event.
  • Ensure information risks are identified, assessed, mitigated and controlled.
  • Ensure Critical Information Assets are identified and graded appropriately.  Monitor changes in the risk profile of the highly critical systems.
  • Work with IT to validate the resilience of data and IT systems.
  • Support Group initiatives ensuring the respective business / function / region needs are represented effectively.
  • Face off to the ICS subject matter experts in Group Business lines.

Processes

  • Drive the continuous improvement of practices.
  • Drive the implementation of the ICS agenda for the respective business / function / region by working with the respective Business/Function Heads, Region / Country Management Team, C-level Management /CIO teams, ISOs and senior ICS leadership.
  • Manage ICS risk remediation initiatives and activities including incident responses, crisis exercises, risk assessments, stress testing, regulator engagement.
  • Drive the implementation of the ICS RTF in in the respective business / function / region with a focus on key countries. The plan will incorporate digital footprint discovery, threat/risk assessment, definition and implementation of controls as guided by the ICS RTF.

People & Talent

  • Maintain strong stakeholder engagement and serve as the business-facing lead with Group, Regional and Country IT, Business/Function, C-level Management, ISOs, Risk & Control stakeholders to bring alignment across stakeholder groups in conjunction with ICS risk management.
  • Collaborate with Corporate Communications, threat intelligence and other functions to lead and coordinate the information security change management effort around branding, communications, staff awareness and training.
  • Maintain relationships with key service and product owners within Security Technology Services / Cyber Security Services to keep abreast of changes that may affect ICS’s risk landscape.
  • Help to interpret and translate the ICS requirements of the ICS programmes into technical requirements when needed.
  • Engage external agencies / third parties to understand the threat environment and reported events; assess impact for the respective business / function / region.

Risk Management

  • Drive compliance with Group policies standards, and local regulatory requirements.
  • Work closely with CISRO, Regional ISO, Country ISO, Head of ICS Governance, TISO, Business and C-level Management to provide oversight, governance and monitoring, and work with various delivery owners to embed the ICS RTF.
  • Understand and assess the impact of changes in the policy or procedures on the respective business / function / region and engage with the respective business / function / region Heads to ensure the impact is understood.
  • Recommend additions/enhancements/changes to the ICS policy, procedures, and RTF.

Governance

  • Monitor ICS risk profile and posture and report any non-compliance to senior management or governance committees.
  • Participate and represent the respective business / function / region in Risk Committees, ICS working groups, Programme Steer Cos etc. to provide updates and influence positive outcomes for the Business/Function/Region/Country.
  • Validate the accuracy and consistency of KRIs, KCIs and other risk ratings/assessments, as well as process designs using available MI.
  • Support the Third-Party Security Assessment team during 3rd party reviews.
  • Help design and embed ICS RTF controls in ORF across the respective business / function / region

Regulatory & Business Conduct

  • Display exemplary conduct and live by the Group’s Values, Valued Behaviours, and Code of Conduct
  • Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across the Bank.
  • Effectively and collaboratively identify, escalate, mitigate, and resolve risk, conduct and compliance matters.

Key stakeholders

  • CISO, WRB and Markets
  • Region CISO
  • Market C-level Management and CIO
  • ICS Control owners

Our Ideal Candidate

  • Education – Degree in Engineering, Computer Science/Information Technology or its equivalent.
  • Training
    • Strong knowledge of ICS products and operations will be preferred.
    • Ability to articulate gross and residual risk with specific ability to communicate complex technology and process risk clearly, concisely and accurately to non-technical stakeholders in a lucid way.
    • Strong interpersonal and stakeholder management skills, across various levels in the organization including senior leadership teams, in influencing key decisions taken in the business and in support teams.
    • Strong communication skills – oral, written and presentation. Sound knowledge of MS-Excel, PPT, and Word.
    • Must be a self-starter who is able to initiate and successfully drive programs and projects to completion with little or no management supervision.
    • Strong analytical skills and ability to prioritise, make decisions, and work to tight timeframes.
    • Strong business acumen and deep knowledge and experience in the ICS field.
    • Proven ability to lead highly complex, global activities through influence and credibility rather than command and control.
    • Ability to both assess strategic priorities and to focus on detailed aspects of a function in order to drive effective delivery.
    • Strong integrity, independence, and resilience.
  • Certifications
    • One or more of the following certifications will be preferred:
    • Certified Information Security Manager (CISM)
    • Certified Information Systems Security Professional (CISSP)
    • SANS Global Information Assurance Certifications (GIAC)
    • Certified in Risk & Information Systems Control (CRISC)
    • Certified Information Systems Auditor (CISA)
  • Languages – English

Role Specific Competencies

  • Understanding of the Cyber landscape and ICS Controls within the CCIB environment
  • Excellent organisation and leadership skills with ability to manage multiple deadlines and effectively prioritise
  • Proven ability to lead highly complex, global, pan-bank, multi-year programmes by driving collaboration and participation by functions, Regions and countries.
  • Extensive change and programme management experience, ideally gained in the financial industry
  • Ability to foster positive relationships with internal and external stakeholders at appropriate level ensuring open C-level managementperative environment. Be a Team player.

About Standard Chartered 

We’re an international bank, nimble enough to act, big enough for impact. For more than 160 years, we’ve worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you’re looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents. And we can’t wait to see the talents you can bring us.

Our purpose, to drive commerce and prosperity through our unique diversity,  together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you’ll see how we value difference and advocate inclusion. Together we:

  • Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do
  • Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well
  • Be better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term

In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.

  • Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations
  • Time-off including annual, parental/maternity (20 weeks), sabbatical (12 weeks maximum) and volunteering leave (3 days), along with with minimum global standards for annual and public holiday, which is combined to 30 days minimum
  • Flexible working options based around home and office locations, with flexible working patterns
  • Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits
  • A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning
  • Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies – everyone feels respected and can realise their full potential.

Recruitment assessments – some of our roles use assessments to help us understand how suitable you are for the role you’ve applied to. If you are invited to take an assessment, this is great news. It means your application has progressed to an important stage of our recruitment process.

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08May

Data Science and Machine Learning Industrial Placement


Job Title

Data Science and Machine Learning Industrial Placement

Job Description

Hello, we’re IG Group. No, not Instagram – though we’re a pretty big deal ourselves. 

We’re a global, FTSE 250-listed company made up of a collection of progressive fintech brands in the world of online trading and investing. The best part? We’ve snapped up many awards for our top-class platforms, forward-thinking products, and incredible employee experiences. 

We believe in financial freedom. And our purpose is to help ambitious people achieve it. Around 400,000 people use our groundbreaking technology and forward-thinking platforms to trade the financial products they know and love. 

Data Science and Machine Learning one-year Industrial Placement   

IG Group is seeking an ambitious undergraduate who is passionate about using advanced techniques in data science and machine learning to join a 12-month, fully paid industrial placement where you can experience the inner workings of a FTSE 250 Data Science department. 

Data Science is fast-growing at IG and we are constantly redefining what this discipline means for the organisation. The demand for our services is very high, and this provides a lot of buzz for every one of us on the team. We are scratching the surface in terms of delivering value to the organisation, but we have been making progress in the complexity of solutions we have available. Your role would be to support the team in their daily challenges, such as:  

  • Exploring a variety of data from structured to unstructured and spanning client, operational and financial domains to identify opportunities for data science that add value to the business. 

  • Advancing the use of machine learning within IG by building our next generation data products, e.g. recommendation systems, chatbots, text analytics systems and automatic insight generation systems. 

  • Working with stakeholders from across the business to turn business problems into data-driven solutions. 

  • Building descriptive and predictive models to understand customer behaviour and prescribe next best actions. 

  • Building customer segmentation models to deepen understanding of our increasingly diverse client base and provide personalised customer experience. 

  • Building predictive models to optimize IG’s pricing and hedging strategies. 

 What you’ll need for this role:

  • a methodical approach to solving difficult problems and will feel comfortable in presenting insights generated from data to the business. 

  • excellent communication skills, explaining complicated concepts to non-technical colleagues.

  • innovative thinking to put forward own ideas and suggestions.

  • Some experience in: generating insights from complex data sources, performing statistical analysis and building machine learning models, AI tools such as LLMs, image processing models and prompt-based models. 

  • Programme length: 11-month placement 

  • Start date: September 2024

  • Salary: Competitive pro-rata salary  

  • Location: City of London 

  • Working model: hybrid (3 office days per week) 

Throughout your 12-month placement, you’ll be part of an experienced Data Science team. You’ll have an opportunity to partner with stakeholders across all areas of the business including marketing, risk, customer services and quants, to deliver impactful data products using state of the art machine learning techniques. 

Following your induction, you will be assigned a line manager who will support and coach you throughout your industrial placement. You’ll attend training courses alongside our graduates and have access to a huge range of IG learning and development resources. You’ll be part of a larger community of graduates which is a fantastic opportunity to grow your network.  

 

Recruitment process:  

1.     Application review 

2.     Online Assessment 

3.     Interview with Data Science manager

 

Number of openings

1



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07May

Senior Research Analyst/Research Analyst – Employment


Description

RAND is a not-for-profit research institute with over 30 years of experience in conducting policy research for governments, international organisations, research councils, charitable foundations, and other organisations. We believe that good research helps shape sound answers to pressing societal challenges, ultimately making communities safer and more secure, healthier and more prosperous in the future. RAND Europe has approximately 170 staff across offices in Cambridge, Brussels, and the Netherlands.

The Home Affairs and Social Policy Research Group undertakes research across a number of public policy areas, including employment, education, crime and justice. We employ robust methods and offer multi-disciplinary perspectives.

We are looking for a Research Analyst or Senior Research Analyst to tackle critical issues in employment, supporting a portfolio of major projects on:

  • Labour market policy and legislation
  • Employment services and support
  • Working conditions, atypical and non-standard forms of employment
  • Skills and qualifications, upskilling and reskilling
  • Implications for the labour market of the green and digital transitions
  • Future of work (e.g. new technologies, including AI)

Our projects are diverse in nature, including evaluations of employment support programmes for vulnerable groups – people who are inactive or low-skilled, have mental or physical health conditions (randomised controlled trials and quasi-experimental impact evaluations, process evaluations and economic evaluations), evidence syntheses and international comparisons. We encourage applications from those with training and expertise in one or several of these methods and approaches.

You will have the opportunity to work alongside renowned experts on projects with national and international reach and conduct cutting-edge research using a variety of methods. You will be able to drive positive change by translating research into clear, actionable policy recommendations.

The position offers huge potential to be involved the design and implementation of all steps of the research process, from proposing research ideas, detailed research design, data collection, analysis and reporting, as well as research management, ethics and governance.

Key Responsibilities

  • Managing research projects including budgeting, timetables, deliverables, and delegating tasks to team members.
  • Conducting high-quality research by:
  • Drafting data collection tools (surveys, interview guides, etc.)
  • Conducting in-depth literature reviews on your specialist area.
  • Collecting data through interviews, focus groups, or other qualitative methods.
  • Analysing quantitative and qualitative data using appropriate tools and software.
  • Preparing clear and concise presentations and research briefs for policymakers and other audiences.
  • Drafting sections of research reports with minimal supervision.
  • Maintaining regular communication with collaborators, clients, and funders to ensure project success.
  • Identifying opportunities to disseminate research findings through publications, conferences, and presentations.
  • Contributing to business development activities by seeking new research opportunities.
  • Supporting strategic corporate initiatives aligned with RAND Europe’s mission.

Requirements

  • PhD in a social science, public policy or related discipline (or be close to finishing a PhD).
  • Equivalent relevant experience in applied labour market research may be considered.
  • Demonstrated expertise in your chosen specialist area (labour market policy and legislation, employment services and support, etc.).
  • Experience with a variety of research methodologies (quantitative, qualitative, mixed methods).
  • Excellent report writing skills, with the ability to tailor content for policy audiences.
  • Strong communication and presentation skills.
  • Fluency in English – essential.
  • Proficiency in other languages – desired.

Benefits

  • Pension – 8% Employer contribution;
  • 33 days holiday allowance, including the Bank Holidays;
  • Annual salary review;
  • BUPA medical insurance;
  • Generous company sick pay;
  • Enhanced family friendly policies;
  • Group income protection scheme;
  • Group life assurance;
  • Compassionate leave;
  • Flexible working arrangements;
  • Learning and development opportunities;
  • Employee wellbeing training and support;
  • Fresh fruit every day;
  • Free on-site parking;
  • Cycle to work scheme;
  • Access to company bikes;
  • Service awards.

Salary

Starting salary from £30,000 per annum at Analyst level and £40,000 per annum for Senior Analysts

How to Apply

If you believe you are suited to the above role, please submit an application comprising of a CV and covering.

If you have not been contacted within 30 days of application deadline, please assume your application has not been successful.



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07May

Meet ZleepAnlystNet: A Novel Deep Learning Model for Automatic Sleep Stage Scoring based on Single-Channel Raw EEG Data Using Separating Training


Sleep studies have long been vital to understanding human health, providing insights into how rest affects mental and physical well-being. Polysomnography, which is the standard for diagnosing sleep disorders, utilizes an array of sensors to measure signals during sleep, such as brain waves (EEG), eye movements (EOG), and muscle activity (EMG). Despite its importance, the traditional approach to analyzing these data, manual sleep stage classification, is labor-intensive and prone to inconsistencies due to human error.

Researchers have turned to automated methods to improve accuracy and reduce the burden on sleep technicians. Current computerized systems employ machine learning techniques, from shallow learning that relies on hand-crafted features to more advanced deep learning models that extract features directly from raw EEG data. These technologies aim to mimic the precision of human analysts while surpassing their speed and endurance.

Researchers from Mahidol University introduced a breakthrough known as ZleepAnlystNet, which presents a sophisticated deep-learning framework designed specifically for sleep stage classification. This model utilizes a ‘separating training’ method, where individual components are trained separately to enhance their specific abilities to recognize sleep stages. The system incorporates fifteen convolutional neural networks (CNNs) for feature extraction, each tailored to capture different aspects of the EEG signals and a bidirectional long-short-term memory (BiLSTM) network for sequence classification.

The efficacy of ZleepAnlystNet is notable, with the model achieving an overall accuracy of 87.02%, a macro F1 score (MF1) of 82.09%, and a kappa coefficient of 0.8221, indicating excellent agreement with standard sleep stage scoring. This performance significantly improved over previous models, which often struggled with specific stages like N1, where ZleepAnlystNet manages a per-class F1 score of 54.23%. The model’s ability to consistently identify other stages like Wake (W), N2, N3, and rapid eye movement (REM) with F1 scores of 90.34%, 89.53%, 88.96%, and 87.40% respectively, also stands out.

Cross-dataset validation further illustrates the model’s robustness, showing strong performance metrics even when applied to external datasets, demonstrating its potential for widespread clinical use. The training approach, which isolates and optimizes different model components, has proven crucial in achieving these results. This method also allows for precise adjustments to the model’s architecture, ensuring each part performs optimally without compromising the system’s overall effectiveness.

In conclusion, ZleepAnlystNet represents an advancement in sleep research, offering a powerful tool for accurately and efficiently classifying sleep stages. Its development marks a step forward in the automation of sleep analysis and sets a new standard for integrating deep learning technologies in medical diagnostics. By reducing dependency on manual scoring and increasing reliability, this model paves the way for better understanding and treatment of sleep-related disorders, promising to profoundly impact the field of sleep medicine.


Check out the Paper. All credit for this research goes to the researchers of this project. Also, don’t forget to follow us on Twitter. Join our Telegram Channel, Discord Channel, and LinkedIn Group.

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Sana Hassan, a consulting intern at Marktechpost and dual-degree student at IIT Madras, is passionate about applying technology and AI to address real-world challenges. With a keen interest in solving practical problems, he brings a fresh perspective to the intersection of AI and real-life solutions.






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07May

Data Science specialist at Asda Stores


Job Title

Data Science specialist

Location

Asda House

Employment Type

Full time

Contract Type

Permanent Graduate (Fixed Term)

Hours Per Week

37.5

Salary

Competitive salary plus benefits.

Category

General / Other – SF

Closing Date

26 May 2024

 

Are you a recent graduate in Data or similar that wants to kick start their career?

Looking for an opportunity that’s fun, fast paced, customer focused and commercial with fantastic development opportunities? Then look no further!

Working within the Data and analytics team, you will work directly within our data science team to produce complex data science models to identify and deliver business value across a number of key business processes. We support all areas of the business ranging from space optimisation in stores to analysing reasons for poor product availability.

As Asda moves through its digital and data transformation, you’ll be joining Asda at the right time. Leveraging data and analytics is a foundation to Asda’s transformation strategy and you would be at the very heart of this!
 

“That’s more like it.”

“Find your role”.

  • Contribute to the delivery of Data Science projects under the supervision of senior colleagues.
  • Using agile principles take on our ticket system and ensure progress is documented appropriately.
  • Execute the implementation of Data Science Models.
  • Execute the technical implementation of end-to-end machine learning systems
  • Create and submit pull requests for more senior colleagues to review
  • Develop own knowledge in data science through training and in work opportunities.

Let’s find out about you.”

You might be a recent graduate and you’ll be motivated by a fast-paced role which requires strong communication and team working skills to achieve results. You’ll relish being part of a passionate, energetic team which thrives under pressure as you work together to provide creative solutions; all with the customer in mind.

  • You will have a basic understanding of Data Science including statistics, machine learning and programming and an awareness of Data Science projects delivered within an Agile Framework.
  • You would be confident and comfortable to contribute to team and project discussion and maintain an awareness of the projects focus and direction.
  • Have an understanding of programming skills such as Python and/or R and have SQL knowledge.
  • Basic analysis and data story-telling skills
  • Basic data visualisation skills

“Find your everything at Asda” – bringing brighter living within everyone’s reach.

We are passionate about creating a diverse and inclusive workforce, representative of the communities we serve, and are creating ways to inspire diverse talent to join Asda.

Take time to complete your online application, it really is the best way to make a good first impression. Once we have it, we use a range of techniques to narrow down the field and help us find our ideal candidates. 

If you’re ready to dive into the world of Data Science and help shape the future of retail, we’d love to hear from you!

If you are successful at each stage, you will progress to the next. This will include:

  • A technical assessment
  • Three, quick video interview questions
  • A half-day assessment centre at Asda House

All candidates must have the continuous right to work in the UK and any offer of employment is conditional upon this requirement. Asda do not provide sponsorship for our graduate and apprenticeship programmes.  

Work Where it Works

Our hybrid way of working gives you the choice to work where it works.  This enables you to chose where you’ll be the most effective.  It offers a mix of working from home and in an office environment that works best for you and your team. 
You will also get an excellent benefits package including;-

•    Discretionary company bonus
•    Company pension up to 7% matched
•    10% colleague discount, free parking and many additional rewards.
 
We want all colleagues to be able to bring their best and true selves to work, every day. Simply put, we want our colleagues to be Proud to be Asda and proud to be themselves



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07May

Clinical Data Science Lead at ICR United Kingdom


ICON plc is a world-leading healthcare intelligence and clinical research organization. We’re proud to foster an inclusive environment driving innovation and excellence, and we welcome you to join us on our mission to shape the future of clinical development.

OVERVIEW OF THE ROLE:

The Senior Clinical Data Science Lead (Senior CDSL) serves as the primary contact for internal and external team members regarding clinical data science data review activities and leads these review activities to ensure delivery of data fit for analysis. They are accountable for achieving clinical data science deliverables on-time, with high-quality, and to agreed financial metrics. 

  • Develop and oversee timeliness of clinical data science activities during the life cycle of studies as it relates to data review and data delivery milestones
  • Provide input into clinical system development activities and clinical risk management activities
  • Track and keep functional management and those responsible for project management informed of any issues that might affect project target dates, scope or budget and escalates potential problems effectively and in a timely manner
  • Forecast budget, hours, and resourcing for clinical data review activities
  • Perform analytic review as defined in the scope of work and functional plans focusing on errors that matter or have a meaningful impact on the safety of the subject or interpretation of the final analysis
  • Accountable for the development of planning documents related to data review, data analytics, and data deliverables.
  • Participate in Sponsor and/or third-party audits.
  • Negotiate timelines and key deliverables with clients and/or external customers, vendors, and departments as needed
  • Travel (approximately 15%) domestic and/or international

TO BE SUCCESSFUL, YOU WILL NEED:

  • 5+ years of clinical data management experience in a clinical research organization or pharmaceutical company
  • 2+ years of experience working in a clinical research organization (CRO)
  • Experience as a functional lead of multiple low and moderately complex studies, whilst acting as a resource for less experienced colleagues
  • Experience with all steps within the data science lifecycle and most major data science study tasks, with proficiency in at least one Clinical Data Management system required (e.g., Medidata Rave, Inform, Oracle Clinical, Veeva)
  • Excellent communication skills
  • Budget and timeline management experience
  • Data Analytic and Data Validation experience
  • Bachelor’s degree or local equivalent
  • Equivalent combination of education, training, and relevant experience may be considered in place of the education and experience stated above. All employees must read, write, and speak fluent English and host country

What ICON can offer you:

Our success depends on the quality of our people. That’s why we’ve made it a priority to build a diverse culture that rewards high performance and nurtures talent.

In addition to your competitive salary, ICON offers a range of additional benefits. Our benefits are designed to be competitive within each country and are focused on well-being and work life balance opportunities for you and your family.

Our benefits examples include:

· Various annual leave entitlements

· A range of health insurance offerings to suit you and your family’s needs

· Competitive retirement planning offerings to maximise savings and plan with confidence for the years ahead

· Global Employee Assistance Programme, TELUS Health, offering 24-hour access to a global network of over 80,000 independent specialised professionals who are there to support you and your family’s well-being

· Life assurance

· Flexible country-specific optional benefits, including childcare vouchers, bike purchase schemes, discounted gym memberships, subsidised travel passes, health assessments, among others

ICON, including subsidiaries, is an equal opportunity and inclusive employer and is committed to providing a workplace free of discrimination and harassment. All qualified applicants will receive equal consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please let us know or submit a request here.

Interested in the role, but unsure if you meet all of the requirements? We would encourage you to apply regardless – there’s every chance you’re exactly what we’re looking for here at ICON whether it is for this or other roles.

#LI-AH13

Are you a current ICON Employee? Please click here to apply: link



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07May

Senior Research Analyst/Research Analyst – Criminal


Description

RAND is a not-for-profit research institute with over 30 years of experience in conducting policy research for governments, international organisations, research councils, charitable foundations, and other organisations. We believe that good research helps shape sound answers to pressing societal challenges, ultimately making communities safer and more secure, healthier and more prosperous in the future. RAND Europe has approximately 170 staff across offices in Cambridge, Brussels, and the Netherlands.

The Home Affairs and Social Policy Research Group undertakes research across a number of public policy areas, including crime and justice, education and employment. We employ robust methods and offer multi-disciplinary perspectives.

We are looking for a Research Analyst or Senior Research Analyst to tackle critical issues in crime and justice, supporting a portfolio of major projects on:

  • Policing
  • Prisons
  • Youth offending
  • Drug use, supply and regulation
  • Vulnerable offenders
  • Cybercrime and online hate
  • Serious organised crime and corruption

Our projects are diverse in nature, including evaluations of criminal justice policies and programmes (randomised controlled trials and quasi-experimental impact evaluations, process evaluations and economic evaluations), evidence syntheses and international comparisons. We encourage applications from those with training and expertise in one of several or these methods and approaches.

You will have the opportunity to work alongside renowned experts on projects with national and international reach and conduct cutting-edge research using a variety of methods. You will be able to drive positive change by translating research into clear, actionable policy recommendations.

The position offers huge potential to be involved the design and implementation of all steps of the research process, from proposing research ideas, detailed research design, data collection, analysis and reporting, as well as research management, ethics and governance.

RAND Europe currently offer Hybrid working with office attendance required 2-3 times a week during probation.

Key Responsibilities

  • Managing research projects including budgeting, timetables, deliverables, and delegating tasks to team members.
  • Conducting high-quality research by:
  • Drafting data collection tools (surveys, interview guides, etc.)
  • Conducting in-depth literature reviews on your specialist area.
  • Collecting data through interviews, focus groups, or other methods.
  • Analysing quantitative and qualitative data using appropriate tools and software.
  • Preparing clear and concise presentations and research briefs for policymakers and other audiences.
  • Drafting sections of research reports with minimal supervision.
  • Maintaining regular communication with collaborators, clients, and funders to ensure project success.
  • Identifying opportunities to disseminate research findings through publications, conferences, and presentations.
  • Contributing to business development activities by seeking new research opportunities.
  • Supporting strategic corporate initiatives aligned with RAND Europe’s mission.

Requirements

  • PhD in a social science, public policy or related discipline (or be close to finishing a PhD).
  • Equivalent relevant experience in applied crime and justice research may be considered.
  • Demonstrated expertise in your chosen specialist area (policing, prisons, etc.).
  • Experience with a variety of research methodologies (quantitative, qualitative, mixed methods).
  • Excellent report writing skills, with the ability to tailor content for policy audiences.
  • Strong communication and presentation skills.
  • Fluency in English – essential.
  • Proficiency in other languages – desired.

Benefits

  • Pension – 8% Employer contribution;
  • 33 days holiday allowance, including the Bank Holidays;
  • Annual salary review;
  • BUPA medical insurance;
  • Generous company sick pay;
  • Enhanced family friendly policies;
  • Group income protection scheme;
  • Group life assurance;
  • Compassionate leave;
  • Flexible working arrangements;
  • Learning and development opportunities;
  • Employee wellbeing training and support;
  • Fresh fruit every day;
  • Free on-site parking;
  • Cycle to work scheme;
  • Access to company bikes;
  • Service awards.

Salary

Starting salary from £30,000 per annum at Analyst level and £40,000 per annum for Senior Analysts

How to Apply

If you believe you are suited to the above role, please submit an application comprising of a CV and covering.

If you have not been contacted within 30 days of application deadline, please assume your application has not been successful.



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07May

Nvidia Publishes A Competitive Llama3-70B Quality Assurance (QA) / Retrieval-Augmented Generation (RAG) Fine-Tune Model


In the quickly changing field of Natural Language Processing (NLP), the possibilities of human-computer interaction are being reshaped by the introduction of advanced conversational Question-Answering (QA) models. Recently, Nvidia has published a competitive Llama3-70b QA/RAG fine-tune. The Llama3-ChatQA-1.5 model is a noteworthy accomplishment that marks a major advancement in Retrieval-Augmented Generation (RAG) and conversational quality assurance. 

Built on top of the ChatQA (1.0) model, Llama3-ChatQA-1.5 makes use of the reliable Llama-3 base model as well as an improved training recipe. A significant breakthrough is the incorporation of large-scale conversational QA datasets, which endows the model with improved tabular and arithmetic computation capabilities.

Llama3-ChatQA-1.5-8B and Llama3-ChatQA-1.5-70B are the two versions of this state-of-the-art model that come with 8 billion and 70 billion parameters, respectively. These models, which were first trained with Megatron-LM, have been converted to the Hugging Face format for accessibility and convenience.

Building on the success of ChatQA, a family of conversational QA models with performance levels comparable to GPT-4, Llama3-ChatQA-1.5 was developed. ChatQA greatly improves zero-shot conversational QA outcomes with Large Language Models (LLMs) by introducing a unique two-stage instruction tweaking strategy. 

ChatQA utilizes a dense retriever that has been optimized on a multi-turn QA dataset in order to efficiently handle retrieval-augmented generation. This method significantly lowers implementation costs and produces results that are on par with the most advanced query rewriting techniques.

With Meta Llama 3 models setting new standards in the field, the transition to Llama 3 signifies a significant turning point in AI development. These models, which have 8B and 70B parameters, exhibit great results on a variety of industrial benchmarks and are supported by enhanced reasoning powers. 

The Llama team’s future goals include extending Llama 3 into multilingual and multimodal domains, boosting contextual understanding, and continuously advancing fundamental LLM functions like code generation and reasoning. The core objective is to deliver the most sophisticated and approachable open-source models to encourage creativity and cooperation within the AI community. 

Llama 3’s output significantly improves over Llama 2’s. It sets a new benchmark for LLMs at the 8B and 70B parameter scales. Prominent advancements in pre- and post-training protocols have markedly improved response diversity, model alignment, and critical competencies, including reasoning and instruction following.

In conclusion, Llama3-ChatQA-1.5 represents the state-of-the-art advances in NLP and establishes standards for future work on open-source AI models, entering in a new era of conversational QA and retrieval-augmented generation. The Llama project is expected to spur responsible AI adoption across various areas and boost innovation as it develops.


Tanya Malhotra is a final year undergrad from the University of Petroleum & Energy Studies, Dehradun, pursuing BTech in Computer Science Engineering with a specialization in Artificial Intelligence and Machine Learning.
She is a Data Science enthusiast with good analytical and critical thinking, along with an ardent interest in acquiring new skills, leading groups, and managing work in an organized manner.




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06May

Lead Data Science Engineer at Sky Star Eight Limited


We’re defining what it means to build and deliver the most extraordinary sports and entertainment experiences. Our global team is trailblazing new markets, developing cutting-edge products, and shaping the future of responsible gaming.

Here, “impossible” isn’t part of our vocabulary. You’ll face some of the toughest but most rewarding challenges of your career. They’re worth it. Channeling your inner grit will accelerate your growth, help us win as a team, and create unforgettable moments for our customers.

The Crown Is Yours

Our team comprises sports modelling experts and data science technologists, coming together to develop innovative DS products that deliver incremental value on the Sportsbook platform at DraftKings.

As part of this role, you will be a creative thinker, utilizing data, machine learning, and software development skills to craft high-impact best-in-class sports models that grow the business.

What you’ll do as a Lead Data Science Engineer

  • Research and implement DS applications in Python

  • Create statistical and machine learning models and integrate them into DS applications 

  • Work with and help develop our MLOps pipeline

  • Data engineering of data assets to assist in DS application development

  • Writing production quality code to deploy and run models in a sportsbook

  • Create automatic tests to ensure accuracy and reliability of DS applications

  • Collaborate closely with product, developers, QAs and delivery leads to move projects from ideation to development and deployment

  • Test that data flows work as expected and that DS applications are well integrated in larger business context

  • Build advanced analytics tools for sportsbook product teams

  • Coach and support more junior data scientists within the team

 What you’ll bring

  • Ideally, you have experience as the expert on a data science team where you were responsible for all aspects of data science technical projects, including development and deployment, and then monitoring of how those applications perform in production

  • PhD, Masters or Bachelor’s degree in STEM fields

  • Highly proficient in at least one programming language, ideally Python, with a strong understanding of object-oriented programming principles

  • Understanding of different database technologies, including relational and non-relational databases

  • Experience implementing ML automation, MLOps principles and related tools

  • AWS experience will be considered an asset

  • Experience with typical DevOps flows, such as containerisation (e.g. Docker) and monitoring (e.g. ELK, Grafana)

  • Experience with Kubernetes and Kafka are very desirable

  • Knowledge of web frameworks (e.g. Flask, Django) and HTTP APIs desirable

  • Keen interest in sports 

  • Understanding of Sportsbook products will be considered an asset 

  • Experience leading and coaching other data scientists

  • Excellent communication & organizations skills with the ability to articulate key business information quickly and effectively

#LI_SM1

Join Our Team



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