30Apr

Graduate Clinical Data Science Analyst at


We’re excited to be moving to our vibrant new home on New Oxford Street in central London from the end of June 2024. At GSK HQ, we’re building an energising space where we can connect, collaborate and get ahead of disease together. Designed especially for us, it’ll be one of the healthiest workplaces in the world, with best-in-class tech and bright, light spaces to help us thrive.

At GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people by the end of the decade. R&D is committed to discovering and delivering transformational vaccines and medicines to prevent and change the course of disease. Science and technology are coming together in a way they never have before, and we have strong tech-enabled capabilities that allow us to build a deeper understanding of the patient, human biology and disease mechanisms, and transform medical discovery.

We are revolutionising the way we do R&D. We’re uniting science, technology and talent to get ahead of disease together.

Find out more:

Our approach to R&D

Clinical Programming Graduates –  https://youtu.be/_Tlt9JdxsVM

GSK’s Clinical Programming group brings together some of the most talented minds to explore and analyse clinical trial data. As a department we leverage advanced data analytics, principles of data science, and develop cutting-edge computational tools. This combination enables us to be at the forefront of the ever-evolving landscape of drug development. At GSK, we believe in the power of talent and innovation to drive progress. Not only does GSK support growth and change across Research and Development; we offer continuous career development opportunities for every individual on our team.

What is life like as a GSK Graduate?

A GSK Graduate role offers you the opportunity to kickstart your career – to take on a meaningful role with genuine impact. You’ll take on challenging tasks within live projects and have accountability and ownership over your contributions.  Teamwork will be at the heart of your daily life, with countless opportunities to collaborate and learn from subject matter experts in their field.

Additionally, GSK has a strong global graduate community which provides both technical and soft skill development, includes the chance to mentor placement students and senior leaders, as well as a variety of networking and social events.

Your role as a Data Science Programmer/Analyst

As a Data Science Programmer/Analyst at GSK, you will play a critical role in supporting our clinical research teams through providing programming expertise and support. Under the guidance of experienced professionals within the Biostatistics department, you will gain valuable experience in programming tasks associated with clinical trial reporting. With hands-on training, you will become proficient in programming languages such as SAS and R and will use these to analyse and report clinical trial data.

In addition to these technical skillsets, you will gain exposure to industry-standard tools, methodologies, and regulatory requirements which are all essential to the drug delivery pipeline. 

You will have the opportunity to…

  • Collaborate with top clinical statisticians, programmers, and operational experts in the delivery of clinical trial results to progress medicines through drug development.

  • Receive training in SAS, R and other programming languages, and build these newly acquired skills further through the analysis and reporting of clinical trial data.

  • Acquire domain expertise in a variety of data structures and standards that govern clinical studies.

  • Explore and wrangle complex data sources.

  • Produce analytics and visualisations to deliver insights from data and improve interpretation of results.

  • Explore defining programming strategies for clinical trial reporting and regulatory submissions (planning and execution).

  • Develop and maintain tools, such as applications and coding packages, to support modern Biostatistics ways of working and accelerate pipeline delivery.

  • Become familiar with industry-wide best practices and help to define and support the use of standards across the Clinical Programming function.

  • Implement quality control tests within clinical trial pipelines, identifying and resolving issues to ensure high quality deliveries.

What are the requirements?

Candidate Profile:

  • An analytical, innovative, and flexible mindset

  • An interest in deriving insights from scientific data, a keen eye for detail and a drive to deliver high quality results

  • Strong problem-solving ability

  • The ability to deal with complexity comfortably

  • A resilient and proactive attitude with scientific reasoning

  • Effective written and verbal communication skills

Minimum requirements:

Education required:  An Undergraduate Degree preferably in mathematics / statistics, computer science or a science / technology related discipline. Basic programming experience in any language.

Language requirement: Written and spoken fluency in English

Location:  GSK House or Stevenage.

Expected Start date: September 2024

Assessment Centre Date: June 2024

Let’s do this! 

You’ll find hints, tips and guidance on our recruitment process on our website 

Learn more about the application process | GSK

Once you’ve submitted your online application form, you’ll need to complete two online assessments prior to the assessment centre stage and as part of this, you’ll be asked about your motivation for the role: – We’d like to hear about why you applied to this role and your motivation for the business area you’ve applied to. You will be asked a 2nd question on what strengths, skills or interests you have that will enable you to be successful in this role.  Please be as targeted as you can!   

Top tip #1: Make sure you save this job description for reference throughout the process, it will really help you prepare for the different stages in your application. 

Top tip #2: Don’t forget to register on our GSK insight & engagement platform https://gsk.connectr.co.uk/getahead/ to learn more about working at GSK, our culture and application processes. 

You can learn more about GSK and our careers here.

Why GSK?

Uniting science, technology and talent to get ahead of disease together.

GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology).

Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together.

As an Equal Opportunity Employer, we are open to all talent. In the US, we also adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to neurodiversity, race/ethnicity, colour, national origin, religion, gender, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class*(*US only).

We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are.

Please don’t hesitate to contact us if you’d like to discuss any reasonable adjustments to our process which might help you demonstrate your strengths and capabilities.

For UK Intern roles (including Industrial Placements) you can either call us on 01582 692870, or send an email

uk******************@gs*.com











For UK Apprentice and Graduate Programme roles (including Future Leaders Programme) you can either call us on 0203 862 2277, or send an email

uk***********************@gs*.com











As you apply, we will ask you to share some personal information which is entirely voluntary. We want to have an opportunity to consider a diverse pool of qualified candidates and this information will assist us in meeting that objective and in understanding how well we are doing against our inclusion and diversity ambitions. We would really appreciate it if you could take a few moments to complete it.  Rest assured, Hiring Managers do not have access to this information and we will treat your information confidentially.

Important notice to Employment businesses/ Agencies

GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK’s commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.

Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit GSK’s Transparency Reporting For the Record site.



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30Apr

Data Science and Measurement Lead at mSix&Partners


Title:

Data Science and Measurement Lead

Location:

London

Reports to:

Global Analytics Lead

Client:

Multiple

 

 

T&Pm is one of the world’s leading full service creative and media agencies, connecting talent and tech to drive growth for brands. Formed by the integration of The&Partnership and mSix&Partners, it brings together content and distribution into a single, holistic end-to-end marketing solution. Backed by WPP and GroupM and combined with the agility of an entrepreneurial Partner-led mindset, the multi-discipline agency spans four continents with 45 offices and over $1.2 billion dollars in billings globally. As an early adopter with the first ever AI-generated TV ad for Lexus in 2018, T&Pm is focused on harnessing AI across all its outputs with its 1,900 people already trained on WPP’s proprietary AI platform Creative Studio, to deliver enhanced outcomes for clients. 

                                                                               

We believe in The Power of &, bringing diverse talent together to transform the way great brands are built.  Our teams blend creative, media, experience, and technology specialists from across our marketing practices.  The performance mindset of these teams optimises to business outcomes in every channel, fueled by the latest innovations in AI.  Working alongside our clients’ marketing departments, we deliver ‘&mplified Creativity’ to solve their business and brand challenges seamlessly, creatively and efficiently.

 

Ultimately of course, we are our people. They’re the most important part of our business, so we want to make a lasting impression on them in the same way they do on us, by striving to become the most important place in their careers. 

 

That’s why we do our best to build strong communities around them; provide the best possible opportunities for them to develop & grow; and empower them to make a difference to their clients and the world at large. Our strengths often lie in our differences, so we challenge and champion each other and our clients, to be the very best we can be.

T&Pm embraces and celebrates diversity, inclusivity, and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We are a worldwide creative agency that represents global clients. The more inclusive we are, the more brilliant work we can create together.

 

Role Description

The Data Science and Measurement Lead supports the Data Science team leading on advanced analytics solutions for clients across the UK. Managing a team, they will be responsible for leading a variety of analytics solutions across clients ranging from econometrics to geo-based insight tools ensuring outputs are integrated into the planning process and ready for delivery to C-suite clients. Responsible for acquiring new projects and expand the usages of analytics across the business. Working within a wider performance team in the agency – this lead will have a unique opportunity to enhance the connection between performance media and advanced analytics – supporting a company that is pushing the edge on media and creative integration.

 

What will be your responsibilities?

Primary responsibilities revolve around leading direct reports to develop and execute industry-leading measurement strategies and analytics thinking:             

  • Connect client business goals to marketing objectives, and translate those objectives into a measurement plan and learning agenda for use by planning and activation teams
  • Collaborate with internal and client teams to establish process and ownership of core Business Insights deliverables
  • Collaborate with internal WPP and external partner stakeholders to identify new processes, ways of working, or solutions that T&Pm should bring to market
  • Support strategic planning teams and ensure fully optimized media plans and richly developed and supported campaign strategies
  • Develop, maintain, and grow all client relationships and use foresight to build and provide value to client teams
  • Effectively articulate the applications of media research tools and resources
  • Provide direct reports with all the necessary tools, training, and analytical support and supervision to improve upon existing expertise
  • Build and strengthen relationships internally across the network and externally with client partners
  • Write POVs on industry topics impacting your clients
  • Support new business pitches across T&Pm

 

Who are you?

  • Substantial commercial experience in an analytics leadership role, strong background in advanced marketing analytics – including econometrics
  • Experience with MMM/econometrics modelling and incrementality testing
  • Experience managing a small-to-midsize team (3-7 reports)
  • Experience working inside or alongside a media agency
  • Intellectually flexible with strong analytic and problem solving skills
  • Ability to foster collaborative relationships with other cross-functional teams and across partner agencies
  • Ability to manage and prioritize competing projects and deliverables
  • Expert knowledge of the metrics which power successful media campaigns, where they are sourced, and how they influence and intersect each other.
  • Proficient in SQL
  • Experience with Python and/or R or other analytics programming environment
  • Familiarity with the following a plus:

Data Visualization: Tableau, Omniscope, PowerBI, Datorama

Web Analytics: Omniture, Google Analytics, Webtrends

Ad Servers: DoubleClick, MediaMind, PointRoll, Atlas

Syndicated Measurement: comScore, Nielsen, Compete

Media Impact Measurement: Kantar, Dynata, Nielsen

 

How will success of the role be measured?

  • Positive feedback from the manager and broader team
  • Delivery of measurable impact driven by analytics as result of measurement plans and learning agendas
  • Client satisfaction and positive feedback
  • Becoming the lead clients’ go to person to answer their most important business questions
  • Growth in Data Science and Analytics led revenue streams

 

 #LI-AM3

 



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30Apr

OpenVoice V2: Evolving Multilingual Voice Cloning with Enhanced Style Control and Cross-Lingual Capabilities


Instant Voice Cloning (IVC) in Text-to-Speech (TTS) synthesis, also known as Zero-shot TTS, allows TTS models to replicate the voice of any given speaker with just a short audio sample without requiring additional training on that speaker. While existing methods like VALLE and XTTS can replicate tone color, they need more flexibility in controlling style parameters like emotion, accent, and rhythm. Auto-regressive models, though effective, are computationally expensive and slow. Non-autoregressive approaches like YourTTS and Voicebox offer faster inference but lack comprehensive style control. Additionally, achieving cross-lingual voice cloning demands extensive datasets, hindering the inclusion of new languages. Closed-source projects further impede collaborative advancement in the field.

MIT CSAIL, MyShell.ai, and Tsinghua University researchers have developed OpenVoice V2, a groundbreaking text-to-speech model enabling voice cloning across languages. OpenVoice V2 transcends language barriers, offering applications like personalized digital interfaces, multilingual virtual assistants, and automatic dubbing. With enhanced audio quality and native support for English, Spanish, French, Chinese, Japanese, and Korean, OpenVoice V2 surpasses its predecessor. It allows granular control over voice styles, including emotion and accent, without relying on the reference speaker’s style. Moreover, it achieves zero-shot cross-lingual voice cloning, even for languages absent from its training data, while maintaining computational efficiency and real-time inference capabilities.

Prior research in IVC encompasses auto-regressive methods like VALLE and XTTS, extracting speaker characteristics to generate speech sequentially. While effectively replicating tone color, they lack flexibility in adjusting style parameters like emotion and accent. These models are computationally intensive and slow. Non-auto-regressive approaches like YourTTS and Voicebox offer faster inference but struggle with style parameter control. Additionally, they often rely on extensive datasets for cross-lingual cloning, limiting language inclusivity. Closed-source research from tech giants hampers collaborative progress in the field, hindering innovation and accessibility for the research community.

OpenVoice V2 integrates features from its predecessor and introduces Accurate Tone Color Cloning, Flexible Voice Style Control, and Zero-shot Cross-lingual Voice Cloning. The model’s simplicity lies in decoupling tone color cloning from style and language control, achieved through a base speaker TTS model and a tone color converter. The TTS model handles style and language, while the converter embodies the reference speaker’s tone color. Training involves collecting datasets for TTS and tone color conversion separately. The model structure employs flow layers for tone color conversion, ensuring natural sound while removing tone color information. The approach facilitates fluent multilingual speech generation.

The evaluation of voice cloning faces challenges in objectivity due to variations in training/test sets and objectives across studies. OpenVoice focuses on tone color cloning, style parameter control, and cross-lingual cloning. Rather than numerical comparisons, it emphasizes qualitative analysis, offering publicly available audio samples for assessment. It accurately clones tone color across diverse voice distributions, preserves various speech styles, and enables cross-lingual cloning with minimal speaker data. OpenVoice’s feed-forward structure ensures rapid inference, achieving 12× real-time performance on a single A10G GPU, with potential for further optimization.

In conclusion, OpenVoice V2 enhances audio quality through a revised training strategy and introduces native English, Spanish, French, Chinese, Japanese, and Korean support. V1 and V2 are now available for free commercial use under the MIT License. Building upon V1’s features, V2 excels in tone color cloning across languages and accents, offers precise control over voice styles, and enables zero-shot cross-lingual cloning. By decoupling tone color cloning from other voice styles and languages, OpenVoice achieves greater flexibility and provides its source code and model weights for future research.


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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29Apr

Senior Research Analyst II, Global Steel Analysis at


Job Description:

McCloskey by OPIS has an opening in its research team for a Senior Research Analyst II, Global Steel Analysis. You will fill a role within McCloskey’s growing steel practice, with an early focus on green steel. You will be a critical part of our Steel and Steel Raw Materials group, and within the McCloskey research team.

This is a mid-level position within the global research team, reporting to the head of steel research. The successful candidate will also work with our industry-leading journalists and price reporters.

Responsibilities

  • Assist in the production of monthly and weekly deliverables covering steel and its related products, with an early focus on Green Steel.
  • Assist in the maintenance of monthly supply and demand balance sheets and price forecasts.
  • Contribute to periodic research pieces on topical industry issues (eg. regulatory/policy developments, geopolitical issues, investment, project pipeline, ESG etc).
  • Spearhead the updating of McCloskey’s global steel database and green steel project pipeline.
  • Develop client and industry relationships – bringing some of these relationships from prior roles. Share and source market intelligence.
  • Contribute to bespoke consulting engagements.

Required Skills

  • Demonstrable experience in the steel industry and markets.
  • Strong quantitative skills ( MS Excel and VBA, knowledge of Python, SQL, PowerBI advantageous)
  • Exemplary written communication skills.
  • Strong organizational skills with attention to detail.
  • Ability to work within a team while sometimes operating alone
  • Bachelor’s degree (in in a quantitative discipline preferred)

Our Benefits

  • Comprehensive Healthcare Plans
  • Paid Time Off
  • Retirement Plans
  • Comprehensive Insurance Plans
  • Lifestyle programs & Wellness Resources
  • Education Benefits
  • Family Care Benefits & Caregiving Support
  • Commuter Transit Program
  • Subscription Discounts
  • Employee Referral Program

About Our Organization:

Dow Jones is a global provider of news and business information, delivering content to consumers and organizations around the world across multiple formats, including print, digital, mobile and live events. Dow Jones has produced unrivaled quality content for more than 130 years and today has one of the world’s largest news-gathering operations globally. It is home to leading publications and products including the flagship Wall Street Journal, America’s largest newspaper by paid circulation; Barron’s, MarketWatch, Mansion Global, Financial News, Investor’s Business Daily, Factiva, Dow Jones Risk & Compliance, Dow Jones Newswires, OPIS and Chemical Market Analytics. Dow Jones is a division of News Corp (Nasdaq: NWS, NWSA; ASX: NWS, NWSLV).

About the Team:

OPIS, a Dow Jones company, provides price transparency across the global fuel supply chain, including the Spot, Wholesale Rack and Retail markets. OPIS enables customers to buy and sell energy commodities with confidence with multi-platform access to accurate data, real-time news, powerful software and educational events. Our commitment to reliability is reinforced by personalized customer service and constant innovation. OPIS listens to what the energy community needs and responds with flexible and easy-to-use products. Navigating world fuel markets is complex – OPIS makes it simpler.

#LI-Hybrid

Reasonable accommodation: Dow Jones, Making Careers Newsworthy – We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. EEO/AA/M/F/Disabled/Vets. Dow Jones is committed to providing reasonable accommodation for qualified individuals with disabilities, in our job application and/or interview process. If you need assistance or accommodation in completing your application, due to a disability, email us at

ta****************@do******.com











. Please put “Reasonable Accommodation” in the subject line and provide a brief description of the type of assistance you need. This inbox will not be monitored for application status updates.

Business Area:

Dow Jones – OPIS

Job Category:

Data Analytics/Warehousing & Business Intelligence

Union Status:

Non-Union role



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29Apr

Manager, Data Science Hotel Optimization at GBT Travel


Amex GBT is a place where colleagues find inspiration in travel as a force for good and – through their work – can make an impact on our industry. We’re here to help our colleagues achieve success and offer an inclusive and collaborative culture where your voice is valued.

 

Ready to explore a career path? Start your journey.

Our Hotel business is growing and we are seeking to expand the Hotel Optimization team at Amex GBT. This critical position will create something new by combining analytical skills, technical capabilities with creativity and vision for opportunities, directly impacting the bottom line. Being part of a global team, this position will be highly rewarding and lots of fun. Training and development opportunities will abound ensuring high-performing individuals can chart a long-term career trajectory within the company. This role represents an exciting opportunity to join AMEX GBT, as we define the future of business travel as we lead the industry into a new era.

What you will do, responsibilities and competencies:

  • Identify revenue opportunities, possibly through creative solutions, and drive the implementation to realize them
  • Design and build data-driven hotel optimization models using advanced Analytics/Data Science techniques
  • Strive to continuously refine and improve optimization models through A/B testing or test/control frameworks designed and built from scratch
  • Lead strategic and quantitative analysis to support key business decisions and help chart the course for optimizing our hotel supply
  • Identify, prioritize, and drive automation opportunities through SQL, Python (or other programming language)
  • Create new tools and data visualization using PowerBI or Tableau
  • Build-up and lead a new team and function within hotel optimization

What you will bring, experience and qualification:

  • Bachelor’s in quantitative discipline (Data Science, Math, Business/Economics, etc.), Master’s preferred
  • Min. 3 years work experience as Business Analyst or Data Scientist with focus on problem solving in a commercial environment.
  • Strong SQL skills, with ability to write SQL from scratch, good understanding of databases
  • Strong experience using Tableau or Power BI to pull data from various sources, develop and publish automated reports and dashboards.
  • Experience with at least one programming language (Python/R)
  • Good communication skills with passion for storytelling, bringing data to life
  • Experience managing a team would be an asset, but not required

     

Location

United Kingdom – London

     

The #TeamGBT Experience

Work and life: Find your happy medium at Amex GBT.

  • Flexible benefits are tailored to each country and start the day you do. These include health and welfare insurance plans, retirement programs, parental leave, adoption assistance, and more.

  • Travel perks: get a choice of deals each week from major travel providers on everything from flights to hotels to cruises and car rentals.

  • Develop the skills you want when the time is right for you, with global tuition assistance, access to over 20,000 courses on our learning platform, leadership courses, and new job openings available to internal candidates first.

  • We strive to champion Diversity, Equity, and Inclusion in every aspect of our business at GBT. You can connect with colleagues through our global Inclusion Groups, centered around common identities or initiatives, to discuss challenges, obstacles, achievements, and drive company awareness and action.

  • Wellbeing resources to support mental and emotional health for you and your immediate family.

  • And much more!

All qualified applicants will receive equal consideration for employment without regard to age, gender identity (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, race, color, religion, creed, national origin, disability, veteran status, citizenship or marital status. It is our policy to maintain an equal-opportunity environment free from intimidation, harassment or bias for our candidates, colleagues, clients and suppliers.

We are committed to providing reasonable accommodation to individuals with disabilities. Please, let your recruiter know if you need an accommodation at any point during the hiring process. For more details, please consult GBT Recruitment Privacy Statement.

What if I don’t meet every requirement? If you’re passionate about our mission and believe you’d be a phenomenal addition to our team, don’t worry about “checking every box;” please apply anyway. You may be exactly the person we’re looking for!



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29Apr

Top Data Science Courses in 2024


As businesses increasingly rely on data-driven decision-making, the ability to extract insights and derive value from data has become quite essential. Acquiring skills in data science enables professionals to unlock new opportunities for innovation and gain a competitive edge in today’s digital age. This article lists the top data science courses one should take to master the necessary skills and meet the growing demand for data expertise in various industries.

IBM Data Science Professional Certificate

This course helps master the practical skills and knowledge necessary for a proficient data scientist. It is a beginner-friendly course that teaches the tools, languages, and libraries data scientists use, such as Python and SQL. The course allows the students to demonstrate their proficiency in data science using real-world projects.

Data Science Specialization

“Data Science Specialization” covers the concepts and tools required throughout the entire data science pipeline. The course also has a separate section on statistics, which is essential for data science. It uses R language for all programming tasks such as data analysis, statistical inference, and building machine learning models.

Applied Data Science with Python Specialization

This course is ideal for learners with a basic programming background. It teaches data science through Python and covers its libraries, such as matplotlib, pandas, nltk, scikit-learn, and networkx, covering topics like information visualization, text analysis, and social network analysis.

Programming for Data Science with Python

This course covers the programming skills required to discover patterns and insights in extensive datasets, execute queries using relational databases, and utilize Unix shell and Git. It includes instruction on tools and libraries such as NumPy, Pandas, and Control Flow.

Python for Data Science

This course introduces a comprehensive set of tools crucial for data analysis and conducting data science. It covers Jupyter Notebooks, Pandas, NumPy, Matplotlib, Git, and numerous other tools. Through engaging with compelling data science problems, students will acquire proficiency in utilizing these tools, gaining practical experience within a real-world context.

Data Science: R Basics

This course introduces the basics of R programming and moves on to cover advanced topics such as probability, inference, regression, and machine learning. It also covers data manipulation using dplyr, visualization with ggplot2, file management in UNIX/Linux, version control through Git and GitHub, and creating reproducible documents with RStudio.

Applied Data Science Specialization

This course covers the tools needed to analyze data and make data-driven business decisions, leveraging computer science and statistical analysis. Through lectures, hands-on labs, and projects hosted in the IBM Cloud, students gain practical experience addressing intriguing data challenges from beginning to end.

Data Science with Python Certification Course

This course is designed to help you become proficient in key Python programming principles, including data and file operations, object-oriented programming, and essential Python libraries like Pandas, NumPy, and Matplotlib for Data Science. It is tailored for both professionals and beginners and covers various machine learning (ML) techniques, recommendation Systems, and other important ML concepts.

Foundations of Data Science

This course is intended for those already in the industry and helps develop the skills needed to apply for more advanced data professional roles. It covers the project workflow PACE (Plan, Analyze, Construct, Execute) and explains how it can help organize data projects. 

Associate Data Scientist in Python

This course is designed by DataCamp, and it enables learners to apply theoretical concepts by executing code directly in the browser. It thoroughly explores libraries such as pandas, Seaborn, Matplotlib, scikit-learn, and others. Additionally, it provides opportunities for learners to engage with real-world datasets, mastering statistical and machine learning techniques necessary for hypothesis testing and constructing predictive models.


We make a small profit from purchases made via referral/affiliate links attached to each course mentioned in the above list.

If you want to suggest any course that we missed from this list, then please email us at 

as**@ma**********.com












Shobha is a data analyst with a proven track record of developing innovative machine-learning solutions that drive business value.




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28Apr

This AI Paper from Google DeepMind Introduces Enhanced Learning Capabilities with Many-Shot In-Context Learning


In-context learning (ICL) in large language models (LLMs) utilizes input-output examples to adapt to new tasks without altering the underlying model architecture. This method has transformed how models handle various tasks by learning from direct examples provided during inference. The problem at hand is the limitation of a few-shot ICL in handling intricate tasks. These tasks often demand a deep comprehension that few-shot learning cannot provide, as it operates under the restriction of minimal input data. This scenario could be better for applications requiring detailed analysis and decision-making based on extensive data sets, such as advanced reasoning or language translation.

Existing research in the field of ICL has primarily focused on the few-shot learning capabilities of models like GPT-3, which adapt to new tasks with a limited set of examples. Studies have investigated the performance limits of these models within small context windows, revealing constraints in task complexity and scalability. The development of models with larger context windows, such as Gemini 1.5 Pro, which supports up to 1 million tokens, represents a significant evolution. This expansion allows for exploring many-shot ICL, greatly enhancing the models’ ability to process and learn from a larger dataset.

Researchers from Google Deepmind have introduced a shift toward many-shot ICL, leveraging larger context windows of models like Gemini 1.5 Pro. This move from few-shot to many-shot learning utilizes increased input examples, significantly enhancing model performance and adaptability across complex tasks. The unique aspect of this methodology is the integration of Reinforced ICL and Unsupervised ICL, which reduce reliance on human-generated content by employing model-generated data and domain-specific inputs alone.

In terms of methodology, the Gemini 1.5 Pro model was employed to handle an expanded array of input-output examples, supporting up to 1 million tokens in its context window. This allowed the exploration of Reinforced ICL, where the model generates and evaluates its rationales for correctness, and Unsupervised ICL, which challenges the model to operate without explicit rationales. The experiments were conducted across diverse domains, including machine translation, summarization, and complex reasoning tasks, using datasets like MATH for mathematical problem-solving and FLORES for machine translation tasks to test and validate the effectiveness of the many-shot ICL framework.

The results from implementing many-shot ICL demonstrate significant performance enhancements. In machine translation tasks, the Gemini 1.5 Pro model outperformed previous benchmarks, achieving a 4.5% increase in accuracy for Kurdish and a 1.5% increase for Tamil translations compared to earlier models. In mathematical problem-solving, the MATH dataset showed a 35% improvement in solution accuracy when using many-shot settings. These quantitative outcomes validate the effectiveness of many-shot ICL in enhancing the model’s adaptability and accuracy across diverse and complex cognitive tasks.

In conclusion, the research marks a significant step forward in ICL by transitioning from few-shot to many-shot ICL using the Gemini 1.5 Pro model. By expanding the context window and integrating innovative methodologies like Reinforced and Unsupervised ICL, the study has successfully enhanced model performance across various tasks, including machine translation and mathematical problem-solving. These advancements not only improve the adaptability and efficiency of large language models but also pave the way for more sophisticated applications in AI.


Check out the PaperAll 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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Nikhil is an intern consultant at Marktechpost. He is pursuing an integrated dual degree in Materials at the Indian Institute of Technology, Kharagpur. Nikhil is an AI/ML enthusiast who is always researching applications in fields like biomaterials and biomedical science. With a strong background in Material Science, he is exploring new advancements and creating opportunities to contribute.






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28Apr

Chief Information Security Officer at Vicarius


Vicarius is an Israeli-born cybersecurity startup backed by tier-1 investors from San Francisco, Portugal and Tel Aviv. Currently operating out of NYC and Tel Aviv, Vicarius is set to solve the biggest challenge of all: security vulnerabilities. The Vicarius powered platform, vRx, is a simple and self-serve product that helps companies identify, prioritize and fix security threats in an integrated, automated, and non-traditional manner.

After successfully closing our Series B funding round, we are looking for an a Chief Information Security Officer.

Responsibilities:

  • Develop, implement and monitor a strategic, comprehensive enterprise information security and IT risk management program
  • Work directly with the business units to facilitate risk assessment and risk management processes
  • Develop and enhance an information security management framework
  • Understand and interact with related disciplines through committees to ensure the consistent application of policies and standards across all technology projects, systems and services
  • Provide leadership to the enterprise’s information security organization
  • Partner with business stakeholders across the company to raise awareness of risk management concerns
  • Assist with the overall business technology planning, providing a current knowledge and future vision of technology and systems

Requirements:

  • Degree in business administration or a technology-related field required
  • Professional security management certification
  • Minimum of eight to 12 years of experience in a combination of risk management, information security and IT jobs
  • Knowledge of common information security management frameworks, such as ISO/IEC 27001, and NIST
  • Excellent written and verbal communication skills and high level of personal integrity Innovative thinking and leadership with an ability to lead and motivate cross-functional, interdisciplinary teams
  • Experience with contract and vendor negotiations and management including managed services
  • Specific experience in Agile (scaled) software development or other best in class development practices
  • Experience with Cloud computing/Elastic computing across virtualized environments

Soft Skills, Education, Other

  • A successful candidate will have a desire to work as part of a small, growing team
  • Ability to study new technologies fast and think outside of the box
  • Positive thinking and attitude
  • Ability to work in a team, communicate clearly, adapt, learn quickly, and pay attention to detail



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27Apr

Technical Support Professional – AIOPs Support at IBM



Technical Support Professional – AIOPs Support at IBM | Find AI Jobs
















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  • Work as part of a team to provide 7 x 24 support for our AIOPs Support Customers.
  • Respond to customer requests within our Service Level Agreement.
  • Responsible for assigned cases.
  • Providing timely updates to customer issues.
  • Problem replication of reported issues.
  • Working on our IBM Tivoli Network Management Product, as well as our AIOPs solutions. 
  • Identify / Confirm possible software defects and log software enhancements.
  • Work with a minimum of supervision.



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