Ready to kickstart your data science career by driving retail innovation through AI?

A market-leading Ad-tech SaaS business, backed by £10 million in Series A funding, is revolutionizing connected retail performance with AI and automation. They’re scaling fast and need a talented Data Scientist for a unique role. You’ll master their platform, work on-site with a strategic client as an embedded expert, and deliver measurable outcomes while shaping the product’s future.

You’ll blend data science—analysis, modelling, experimentation—with platform configuration and stakeholder coaching. Collaborating with Product, Engineering, and Customer Success teams, you’ll maximise client value and provide insights to drive innovation. Expect to configure use cases like demand forecasting and pricing optimisation, lead client discovery, deliver impact reviews, design A/B tests, and ensure data quality with client data teams.

You’ll need 1-2 years of data science experience, a relevant degree (e.g., Computer Science, Statistics, or similar), and strong Python skills (NumPy, Pandas, scikit-learn). A solid grasp of statistics (regression, hypothesis testing, time-series) and SQL proficiency with cloud data warehouses (BigQuery, Redshift, Snowflake) are essential. Excellent communication is key to drive adoption. You should be comfortable with hybrid on-site client work. Bonus for experience in forecasting, causal inference, dashboarding (Tableau, Power BI), MLOps, or retail analytics.

The role is a hybrid position with a client (hybrid agreed), but will start as a 2 days a week on site position with the parent company in Liverpool Street.

Key Details

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Information Technology
• Industries: Advertising Services, Technology, Information and Media, and Marketing Services