Author: The Hub

Company Description

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Consulting, Design, Cloud, Data, and Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Blockchain and Artificial Intelligence to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500+, and has 43 offices in 17 countries within key global markets.

For more information on the company, please visit our website or LinkedIn community.

Why join Synechron?

We are in constant search for talented and enthusiastic people who are passionate about working with our clients and being the best ambassadors for our company.

Job Description

Your mission:

To reinforce the Synechron Switzerland team, we are looking for a Senior ML Ops Engineer for AI ML applications. Our mission is for one of our clients, a major/global financial institution in Zurich.

Your responsibilities:

• • Join a newly formed centralised MLOps team to build (& support) tools and setup automation that improve the efficiency and productivity of data scientists.
  • Work closely and support data scientists and engineers in delivering solutions that bring cost savings to the client.
  • Some example projects are:
    • (i) Automating the packaging of models and deployment into an environment, with traceability on model version, experimentation and control checks
    • (ii) Enable continuous model monitoring to track model performance metrics (accuracy), detect performance and data drift, and generate anomaly and impact alerts where there is data quality or model degradation.
    • (iii) Establish security protection (malicious code execution, prompt injection attacks, data leakage, access control, encryption in transit/rest, IAM, etc.) in the ecosystem
    • (iv). Assist in decoupling the AI model from the hosting IT application.

Qualifications

 

Your profile and skills:

• You justify a Master’s degree or equivalent in computer science, information systems, or another relevant field;
• You possess minimum 6 to 8+ years of practical experience in the field of machine learning and AI;
• You have a solid experience in the banking industry, with particular expertise in global financial institutions;
• You are a polyglot developer, able to code (or learn quickly) multiple languages, such as python, java, javascript, html, golang, etc
• You like to quickly pickup multiple technologies and use them in the correct manner.
• You have strong knowledge on know CI/CD pipelines and Agile frameworks, preferably with the MLOps context.
• You possess good familiarity with technologies such as: SciKit-Learn, TensorFlow, Torch, ChatGPT, Llama, LangChain (or equivalent), RAG, Model Security, Jupyter Notebook / JupyterLab, Unit Testing, Integration Testing, E2E Testing, ETL/ELT, Python Virtual Environment, Containerization with Docker/Podman, GitLab, Azure DevOps, Kubernetes, Azure Load Balancer, Communication Standards, Communication Security, Non-functional KPIs (performance, scalability…), Splunk, Graphana, Kubernetes Container Monitoring.
• You produce secure and clean code that is stable, scalable, operational, and well-performing.
• You understand the security principles in the banking systems, and be up to date with the latest standards (security, best practices) in IT.
• You have good knowledge in SQL, NoSQL, Vector DB, Graph DB (is a plus)
• You are a team player with good communication and interpersonal skills;
• You are customer-oriented, committed, with a hands-on mentality.
• You speak English (German would be a plus);
• You possess a valid Swiss work permit, or you are EU national and willing to relocate to Zurich.

Additional Information

What we offer you:

• Up to 5 days of training per year;
• A monthly support to finance lunches;
• Financing of certifications on request;
• A competitive salary package;
• Free and unlimited access to our global E-learning platform -> 16,000 modules available;
• An annual license to access our training platform for Finance/Banking in order to improve your knowledge in different functional areas of your choice;
• A working environment – certified – GREAT PLACE TO WORK (95% satisfaction);
• A close-knit team, our support, proximity, regular feedback and top events.

If you believe you are the right candidate, please submit your application! We look forward to receiving your application.

Business Process Data Analyst (12 Month – Maternity Cover) 

  

Salary & Benefits: Salary £38,916 – £48,645 per annum dependant on experience, annual bonus, attractive pension scheme (Up to 10% company contribution), life assurance cover of 4 times pensionable salary and 25 days annual leave, bank holidays, plus a wellness day and development opportunities in line with the Data Analyst progression plan. We also offer a fantastic flexible benefits package, where you can choose from benefits such as health cash plan scheme, critical illness insurance, dental insurance, life assurance flex and partner cover.  Colleagues also have access to a retail savings scheme, online GP service, cycle to work scheme, gym membership discounts and many more! 

 

Location: Bradford, Buttershaw / Hybrid Working  

 

Work type: 12 Month fixed term. 37 hours per week, Monday – Friday.  

 

We have an exciting opportunity for a Business Process Data Analyst to join the team at Yorkshire Water and be a part of helping Yorkshire Water to provide the best service to our customers. Could this be you? 

 

What we do: 

 

Everyone has an idea of what a water company does. Here in Yorkshire, we make sure that over 5.4 million people living in the region and the millions of people who visit our region each year, can rely on our services, and have clean and safe drinking water on tap and that their wastewater is taken away. But for us, it’s so much more than this. 

 

We look after communities, protect the environment, and plan to look after Yorkshire’s water, today, tomorrow 24/7, 365 days a year. We provide essential water and wastewater services to every corner of the Yorkshire region, and play a key role in the region’s health, wellbeing, and prosperity.  

 

New environmental legislation, unprecedented levels of investment and changing expectations from customers means that this is an exciting time to discover opportunities within the water industry.  

 

As a Business Process Data Analyst, you will create and embed management information dashboards and provide insights to support Water Distribution teams to understand performance against operational, strategic, customer and health and safety objectives. Some of the main responsibilities include the following: 

 

• To be the point of contact of the department to obtain meaningful performance metrics and data in a consistent format across all Water Distribution teams and processes. 

• Define key performance measures aligned to operational processes and key objectives, working with Water Distribution managers/people leaders at all levels. 

• Develop management information (MI) dashboards in Microsoft Power BI to provide clear visibility of current performance of operational processes and objectives across all Water Distribution teams. 

• Use the management information you produce to transform data into information and provide ongoing analysis to provide understanding of drivers of performance, root causes and insights to proactively identify continuous improvement opportunities 

• Handle ad-hoc requests for MI/Data/Reports to support business cases and delivery of change. 

• Work with CI Analysts to identify, analyse, implement, and track progress of improvement opportunities. 

 

What skills & qualifications you will need: 

 

• Previous experience of building reports and dashboards in Microsoft Power BI and Excel including the collation and processing of raw data from multiple sources. 

• Ability to interpret and analyse large volumes of data. 

• Ability to present MI in formal management reports & in management meetings. 

• Highly numerate and strong analytical & problem-solving skills.  Able to present data in a clear and concise manner. 

• Excellent IT skills especially in the use of Microsoft Office applications. 

• Excellent communication skills and ability to communicate with colleagues at all levels across the business, including senior leaders and directors. 

• Able to establish and maintain effective internal and external working relationships. 

• Able to work independently and as part of a team against tight deadlines under own initiative. 

• Able to work on simultaneous projects and manage own time. 

  

If you’re an experienced Business Process Data Analyst and want to help us deliver exceptional service for our customers whilst protecting the environment, then apply today to find out what a career with Yorkshire Water can offer for you. 

 

We are proud to serve the Yorkshire region and are committed to creating a diverse and inclusive environment that is reflective of the communities we serve. We strongly encourage candidates of all different backgrounds to apply.  

  

If successful for the role, you will be required to undergo pre-employment checks that will include a Basic Disclosure Check, carried out through a Third Party Company, prior to commencing employment. Depending on the role, you may also be required to go through the security vetting process for either a Counter Terrorist Check or Security Check clearance.   

 

Kelda Group reserve the right to close this position before the published closing date, should the need occur. We therefore advise that you complete and submit your application as soon as possible.