Staff Data Scientist

Harnham - Data & Analytics Recruitment
London, United Kingdom
Today
£95,000 – £113,000 pa

Salary

£95,000 – £113,000 pa

Job Type
Permanent
Work Pattern
Full-time
Work Location
Hybrid
Seniority
Senior
Education
Degree
Posted
30 Apr 2026 (Today)
Share
Save job
Create job alert

Staff Data Scientist

London, Hybrid

Salary up to £113,000

This is a senior individual contributor role where you will shape how a high growth digital business measures and optimises its marketing investment. You will sit at the intersection of data science, marketing strategy and executive decision making, owning complex measurement problems and turning them into clear, commercial insight.

The Company
They are a fast growing, mobile first digital marketplace with a strong consumer brand and an international user base. Data plays a central role in how they invest, grow and make decisions across the business. The environment is collaborative, product led and focused on building robust, scalable analytics to support long term growth.

The Role

  • Lead the measurement strategy for paid marketing, shaping the roadmap across attribution, incrementality, ROI and customer lifetime value
  • Develop and productionise advanced analytical models in Python to evaluate marketing effectiveness
  • Design and run experiments to understand the impact of targeting, creative and channel mix
  • Partner closely with senior marketing leaders and executives, acting as a trusted advisor on data driven strategy
  • Build clear reporting and insight using BI tools to support both day to day performance and long term planning
  • Collaborate with data, marketing and adtech teams to ensure data quality, tracking and consistent measurement approaches

Your Skills & Experience

  • Strong commercial experience in marketing analytics within a digital or mobile first environment
  • Proven capability in attribution modelling, incrementality testing and customer lifetime value modelling
  • Advanced Python skills with experience productionising models using modern data tooling
  • Strong SQL capability and confidence working with large, complex datasets
  • Deep understanding of paid media channels such as search, social and video, and the data they generate
  • Experience working with mobile measurement platforms and navigating privacy related data challenges
  • Ability to communicate complex analysis clearly to both technical and non technical stakeholders

How to Apply
If you are looking for a Staff Data Scientist role where you can drive real impact across marketing and business strategy, apply now to find out more.

Related Jobs

View all jobs

Lead Data Scientist

Morgan McKinley London, United Kingdom
£67,000 pa Hybrid Clearance Required

Staff Software Engineer - Backend

Databricks London, United Kingdom

Senior Staff Software Engineer - Delta

Databricks London, United Kingdom

Product Data Lead

Collaborate Recruitment Parkstone, Dorset, United Kingdom
£40,000 – £43,000 pa

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Products

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Advertising data science jobs in the UK requires a different approach to most technical hiring. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Jobs

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

Careers

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.