Data Science Engineer

eTeam
Reading
4 weeks ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Science / Data Mining Specialist

Data Science Consultant

Data Scientist

Machine Learning Engineer

Data Scientist

We are a Global Recruitment specialist that provides support to the clients across EMEA, APAC, US and Canada. We have an excellent job opportunity for you.


Job Title: Data Science Engineer
Duration: 6 months contract initially
The Opportunity:

  • The Data Science team is seeking a dedicated Data Science Engineer. This role provides an outstanding opportunity to work with exceptionally skilled professionals and influence our sales strategy directly. You will be instrumental in driving business growth by successfully implementing data-driven models that identify and size potential opportunities.
  • You will work with senior stakeholders and team members to explore various data sources, engineer compelling features, then build, test, and evaluate models to prove their efficacy. Your ability to communicate complex model features to business owners will be essential for encouraging confidence and enabling sellers to drive impactful customer conversations. This is a fast-paced environment that requires the ability to make tactical decisions quickly to balance methodologies with business priorities.

What You Will Do:

  • Develop and own rSAM models to size headroom opportunities in the book of business for specific offerings and customer segments
  • Carry out in-depth business analysis to uncover the drivers behind performance gaps and make recommendations for change
  • Engage with senior stakeholders to understand key growth areas and ensure solutions align with business priorities
  • Assess and improve the performance of sales campaigns with performance insights and recommendations for model enhancements
  • Support the customer segmentation process using rSAM and other insights
  • Provide different models like customer segmentation based on clustering, customer lifetime value based on survival analysis, and forecasting
  • Deliver channel segmentation to determine customer engagement strategy and optimize lifetime value
  • Collaborate with data engineering teams to productionize data pipelines and drive scalable solutions
  • Automate model refreshes and account prioritization processes
  • Build propensity models to drive sales campaigns using predictive modelling techniques.

What You Will Bring:

  • 5+ years of SQL experience for querying, cleansing, integrating, and summarizing complex data is essential
  • Experience with Databricks and Python is desirable
  • Proven experience of building, testing, evaluating, and improving revenue-generating data science models
  • Knowledge of propensity modeling techniques and other modeling techniques would be beneficial
  • Proven experience translating complex analytics into understandable insights for senior collaborators is essential
  • Strong problem-solving skills and experience in a fast-paced business environment with changing requirements.

If you are interested in this position and would like to learn more, please send through your CV and we will get in touch with you as soon as possible. Please note, candidates are often Shortlisted within 48 hours.


#J-18808-Ljbffr

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.

Where to Advertise AI Jobs in the UK (2026 Guide)

Advertising AI jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.