Applied Scientist

Senior Applied Data Scientist | Customer Data Science | London

hackajob is partnering with a global leader in the customer data science industry to find a Senior Applied Data Scientist for their Advanced Data Science team — and they hire exclusively through our platform.

This is a rare opportunity to work at the intersection of world-first science and real retail impact, solving some of the most complex category management problems in the industry for iconic global brands.

🔍 What you'll be doing

You'll be embedded in a high-performing team that works directly with client leadership at some of the world's most recognisable retailers and consumer goods companies. Day-to-day, you'll:

• Build and deploy complex ML models and data science applications end-to-end

• Solve challenging category management problems — assortment, pricing, promotions — using cutting-edge techniques

• Translate analytical findings into clear, actionable insights for non-technical senior stakeholders

• Collaborate with client teams to design scalable, reusable solutions that deliver measurable value

• Mentor junior colleagues and help shape the team's technical standards

🧠 What we're looking for

Essential:

• Degree in Statistics, Mathematics, Physics, Economics, or a related quantitative field

• Production-quality Python and strong SQL — OOP, testing, packaging experience

• Solid statistical modelling across regression, classification, and time-series

• Version control fluency: Git, feature branches, PRs, code reviews

• The ability to explain a complex model to a CMO — you adapt depth to the audience

Highly advantageous:

• PySpark and distributed data processing at scale

Nice to have:

• Exposure to retail analytics or category management (assortment, pricing, promotions)

• Experience leading a project workstream or mentoring junior data scientists

✨ Why this role

• Work on problems that directly shape how iconic global brands respond to their customers

• Tesco-scale data infrastructure — PySpark is standard, modern cloud stack throughout

• ~30–40% client-facing: you'll build real relationships with senior commercial leaders

• Clear path to Principal / Lead Data Scientist, with a people management track available

• Flexible working, birthday off, and a genuine small-team feel inside a global company

• Access to thriving D&I networks and a challenge-and-learn culture

📍 London (hybrid) | Permanent

This client hires through hackajob — apply via the platform to be considered. We're committed to an inclusive process: let us know if you need any adjustments, and we'll make it work.