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Data Scientist

Norton Blake
London
3 weeks ago
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This range is provided by Norton Blake. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

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Finding Quality IT Talent for Permanent and Interim projects - WE ARE HIRING FOR OUR LONDON OFFICE

Data Scientist – AI & Machine Learning | FinTech Innovation

Location: Hybrid – Central London

Employment Type: Permanent

Salary £80,000+

My client, a leading fintech, is searching for a Data scientist to join their team. The client is backed by major banks and market leaders and is creating a collaborative, data-driven platform that connects firms and transforms risk control processes. They are now looking to add a furtherData Scientistwith a strong grasp of machine learning, LLMs, and graph-based methods to help us shape the future of risk intelligence.

About the Role

You’ll be at the forefront of AI innovation within their platform – identifying how ML and LLMs can improve both client-facing value and internal efficiency. You’ll work closely with an intellectually curious, cross-functional team to design and implement production-ready ML solutions, particularly around recommender systems, NLP, and advanced data pipelines.

What You’ll Be Doing

  • Evolving and improving their recommender system methodology for better automation and alignment
  • Exploring and applying state-of-the-art graph-based AI techniques
  • Leveraging LLMs and unstructured data to extract meaningful insights
  • Building prompt engineering strategies into our LLM-driven tools
  • Contributing to MLOps and LLMOps best practices

What You’ll Bring

  • Proven experience in a Data Science or ML-focused role
  • Strong understanding of recommender systems and statistical/ML techniques
  • Experience working with natural language data and LLMs
  • Excellent Python programming skills and strong data visualisation/feature engineering experience
  • A creative, research-driven mindset and a passion for exploring new data-driven use cases

Please apply for more information

Seniority level

  • Seniority levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • Job functionInformation Technology
  • IndustriesTechnology, Information and Media, Information Services, and Data Infrastructure and Analytics

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