Data Scientist

Capgemini
Belfast, UK
about 1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Automated Storage and Retrieval Systems Code Review Data Cleansing Information Engineering Data Systems Fraud Prevention and Detection Python (Programming Language) Machine Learning Scripting Feature Engineering Pytorch
+13 more
Large Language Models Prompt Engineering Generative AI Keras Git AI Platforms HuggingFace Machine Learning Operations Api Design Artificial Intelligence Markup Language (AIML) Software Version Control Data Pipelines Docker

Job description

We are seeking a Senior Generative AI Data Engineer with strong experience in financial services (banking, capital markets, insurance, or fintech) to design, build, and scale GenAI-powered data solutions. The role combines modern data engineering, ML/LLM integration, and domain-specific financial knowledge to deliver enterprise-grade AI platforms. You will lead the development of data pipelines, vector databases, retrieval systems, and LLM-driven applications to solve use cases such as risk analytics, fraud detection, regulatory compliance, document intelligence, and customer insights Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time., * Implement and finetune generative AI models under the guidance of senior team members

  • Contribute to prompt engineering and development of Ai powered workflows
  • Assist with the deployment monitoring and maintenance of AI models in production environments
  • Collaborate with data scientists and engineers to ensure seamless integration of AI capabilities
  • Perform data preprocessing feature engineering and API development for AI applications
  • Participate in code reviews testing and documentation to ensure quality and reliability
  • Stay updated with advancements in GenAI and share relevant learnings with the team

Requirements

  • Handson experience with at least one major machine learning framework PyTorch TensorFlow Keras
  • Familiarity with LLMs prompt engineering and finetuning eg LoRA QLoRA
  • Exposure to RAG systems and basic knowledge of hybrid search techniques
  • Understanding of model deployment and containerization Docker
  • Proficiency in Python for AI development data preprocessing and scripting
  • Experience with generative AI tools LangChain Hugging Face LlamaIndex is a plus
  • Understanding of version control systems Git
  • Awareness of AI compliance data privacy and responsible AI principles * Required Soft Skills

  • Strong teamwork and communication abilities
  • Willingness to learn new AIML technologies and frameworks
  • Analytical mindset and attention to detail
  • Openness to feedback and continuous improvement

We are a Disability Confident Employer: Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government’s Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:

  • Declare they have a disability, and
  • Meet the minimum essential criteria for the role.

About the company

  • You’d be joining an accredited Great Place to work for Wellbeing in 2024. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained ‘Mental Health Champions’ across each of our business areas, and we have invested in wellbeing apps such as Thrive and Peppy.

  • You will be empowered to explore, innovate, and progress. You will benefit from Capgemini’s ‘learning for life’ mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more.
  • You will be joining one of the World’s Most Ethical Companies®, as recognised by Ethisphere® for 13 consecutive years. We live our values by making ethical business choices every day. Working ethically is at the centre of our culture at Capgemini, meaning you will be helping to create a future we can all be proud of.

Why you should consider Capgemini: Growing clients’ businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you’ll join a thriving company and become part of a collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what’s possible. It’s why, together, we seek out opportunities that will transform the world’s leading businesses, and it’s how you’ll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you’ll build the skills you want. You’ll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is. About Capgemini: Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organisations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion. Make it real | www.capgemini.com

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