Senior Data Scientist - AI & Machine Learning - FinTech

GL Global; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

GL Global in London is seeking a Senior Data Scientist to own end-to-end AI projects, from problem framing to production deployment. You will work on predictive modelling, time-series forecasting and Generative AI within a FinTech context.

The role requires expert Python, hands-on ML, and experience with large datasets and cloud platforms. You will mentor juniors and collaborate with engineers, analysts, product teams and senior stakeholders to deliver production-ready AI solutions.

Qualifications

• 3+ years of experience in Data Science, ML or a related field.
• Expert-level Python with strong experience across Pandas, NumPy, SciPy and Scikit-learn.
• Strong machine learning and predictive modelling experience.
• Hands-on experience with LLMs / Generative AI.
• Experience building AI applications beyond basic chatbot interfaces.
• Strong understanding of time-series modelling / forecasting.
• Experience taking models or AI solutions into production.
• Familiarity with Snowflake, AWS, GCP or equivalent cloud technologies.

Responsibilities

• Developing and deploying machine learning and predictive models
• Building LLM-powered applications, AI agents and multi-step workflows
• Working with modern frameworks such as LangChain, LangGraph or similar
• Developing scalable, production-grade Python solutions
• Working with large and complex datasets, including time-series data
• Taking ownership of projects from problem definition through to production
• Collaborating with engineers, analysts, product teams and senior stakeholders
• Exploring new developments across Generative AI, LLMs and agentic AI
• Mentoring junior team members and helping raise technical standards

Skills

Python

Pandas

NumPy

SciPy

Scikit-learn

LLMs / Generative AI

Time-series forecasting

Production deployment

Education

MSc or higher in Mathematics, Statistics, Econometrics, Physics or another quantitative discipline

Tools

Snowflake

AWS

GCP

Job description

Senior Data Scientist - AI & Machine Learning - FinTech

I’m working with a well established FinTech that is investing heavily in Data Science, Machine Learning and Generative AI. They are looking for a technically strong Senior Data Scientist to join their growing team and work on a range of high-impact, real-world AI solutions.

This is a hands-on role with the opportunity to own projects end-to-end - from identifying and framing problems through to developing, deploying and improving production-ready solutions.

You’ll work across predictive modelling, machine learning, time-series forecasting and modern Generative AI, helping turn complex datasets and business challenges into practical technology solutions.

You’ll be involved in:

• Developing and deploying machine learning and predictive models
• Building LLM-powered applications, AI agents and multi-step workflows
• Working with modern frameworks such as LangChain, LangGraph or similar
• Developing scalable, production-grade Python solutions
• Working with large and complex datasets, including time-series data
• Taking ownership of projects from problem definition through to production
• Collaborating with engineers, analysts, product teams and senior stakeholders
• Exploring new developments across Generative AI, LLMs and agentic AI
• Mentoring junior team members and helping raise technical standards

Experience

• 3+ years’ experience in Data Science, Machine Learning or a related field
• Expert-level Python with strong experience across Pandas, NumPy, SciPy and Scikit-learn
• Strong machine learning and predictive modelling experience
• Hands-on experience with LLMs / Generative AI
• Experience building AI applications beyond basic chatbot interfaces
• Strong understanding of time-series modelling / forecasting
• Experience taking models or AI solutions into production
• Familiarity with Snowflake, AWS, GCP or equivalent cloud technologies
• MSc or higher in Mathematics, Statistics, Econometrics, Physics or another quantitative discipline

This is a great opportunity for a Data Scientist, Machine Learning Engineer or AI Engineer who wants to work with modern AI technologies while having genuine ownership and commercial impact.