Data Scientist

🔒 Confidential Employer
Posted 20 April 2026
LOCATION
Richmond
TYPE
Full-time
LEVEL
Mid-Senior level
CATEGORY
Technology
This employer holds a UK Home Office sponsor license — sponsorship for this specific role is at the employer’s discretion

SKILLS

Python SQL Data Science Statistical Modeling Cloud Platforms Data Visualization Communication Skills

FULL DESCRIPTION

We’re looking for a Data Scientist to take ownership of and develop our statistical modelling capabilities.

You’ll work closely with our operations team to forecast our orders, optimising how to most efficiently meet customer demand in our factory.

The role

We’re looking for a Data Scientist to take ownership, develop and create data products to meet operational and commercial needs of the business. You’ll be instrumental in the end to end data science lifecycle, from curating data sources through to operationalising models, working collaboratively with teams across data, engineering, operations, trading and more.

Your Responsibilities:

  • Operations & Finance - Order & Revenue forecasting
  • Trading - Customer Lifetime Value
  • Trading & CRM - churn prediction
  • Ongoing model monitoring

The skills you’ll bring:

  • 2-4+ years in a data science role, with a proven track record of successfully applying data science approaches and deploying advanced statistical models using complex, messy, real-world data, into a production environment
  • Highly Desirable: A bachelors or masters degree in a STEM related field
  • Advanced proficiency in Python and SQL with extensive experience working with core data science libraries (e.g. pandas/polars, scikit-learn)
  • Familiar with cloud platforms (e.g. AWS) and orchestration tools (e.g. Airflow, Dagster) in relation to operationalising data science products
  • Desirable: Experience leveraging Snowflake AI/ML and robust data pipelines to deliver scalable, production-ready data science solutions
  • Strong communication skills – able to translate technical insight into clear business recommendations to audiences of varied technical backgrounds
  • Highly competent time management, with the ability to source, generate, prioritise and deliver on the most impactful work collaboratively with key partners
  • Skilled in data visualisation and data storytelling (e.g. ThoughtSpot, Looker, Tableau)
  • Experience working with and influencing cross-functionally (Product, Proposition, Engineering, R&D, and Data teams)
  • Highly Desirable: Subscriptions business experience
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