Senior Data Scientist

La Fosse; Greater London; Hybrid; GBP 99,000 - 121,000; Full time

Benefits offered by this job

Hybrid in London

12-month FTC with potential to convert

Job summary

La Fosse are partnered with a well-known consumer-focused organisation investing in data, analytics and machine learning. A hands-on Data Scientist is sought to join a high-performing team focused on delivering commercial impact rather than pure research, with hybrid work in London.

This role sits at the intersection of commercial strategy and analytics. You will identify opportunities with stakeholders, build production-ready models, and translate business challenges into analytical solutions

Qualifications

• Strong commercial Data Science experience in pricing, revenue management or related areas.
• Advanced Python and statistical modelling skills.
• Experience delivering models into production.
• GenAI or LLM exposure (nice to have)

Responsibilities

• Build and improve predictive models.
• Apply statistical and causal inference techniques.
• Translate business challenges into analytical solutions.
• Deliver production-ready data science products.
• Identify commercial optimisation opportunities.

Skills

Data Science

Python

Statistical Modelling

Pricing/Revenue

Production deployment

Tools

AWS

Job description

• Hybrid in London - ideally 1-2 days per week but can be flexible
• 12-months' FTC but very likely to convert to perm
• Salary is up to circa £110k + 10% bonus

We're partnered with a well-known consumer-focused organisation undergoing significant investment across data, analytics and machine learning. Data is playing an increasingly important role in commercial decision-making, with pricing, forecasting and optimisation identified as key growth areas.

As part of this growth, they're looking to hire a Data Scientist to join a high-performing team focused on delivering commercial impact rather than pure research.

The Role

This is a hands-on Data Science role sitting at the intersection of commercial strategy, analytics and machine learning. You'll work closely with senior stakeholders to identify opportunities, build analytical solutions, and influence key business decisions through data-driven insight.

The role would suit someone who enjoys solving complex commercial problems and seeing their work deployed into production.

You’ll be responsible for:

• Building and improving predictive models
• Applying statistical and causal inference techniques
• Translating business challenges into analytical solutions
• Delivering production-ready data science products
• Identifying commercial optimisation opportunities

What They’re Looking For:

• Strong commercial Data Science experience within pricing, revenue management etc.
• Advanced Python and statistical modelling skills
• Ideally AWS experience
• Experience delivering models into production
• Comfortable managing multiple priorities

Nice to Have

• GenAI or LLM exposure