Data Scientist

Norton Blake; London; Hybrid; GBP 68,000 - 80,000; Full time

Job summary

A leading finTech company is seeking a Data Scientist skilled in AI and Machine Learning to innovate their platform. You'll work on improving recommender systems and applying advanced AI techniques, shaping the future of risk intelligence within a collaborative environment.

Qualifications

• Proven experience in Data Science or ML-focused role.
• Strong understanding of recommender systems and statistical ML techniques.
• Experience working with LLMs and natural language data.

Responsibilities

• Improve recommender system methodology for better automation.
• Explore graph-based AI techniques.
• Leverage LLMs and unstructured data for insights.

Skills

Python

Machine Learning

Data Visualization

Feature Engineering

Education

Data Science or related field experience

Job description

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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 further Data Scientist with 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