National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Scientist

GSK Group of Companies
London
4 days ago
Create job alert

Hello. We're Haleon. A new world-leading consumer health company. Shaped by all who join us. Together, we're improving everyday health for billions of people. By growing and innovating our global portfolio of category-leading brands - including Sensodyne, Panadol, Advil, Voltaren, Theraflu, Otrivin, and Centrum - through a unique combination of deep human understanding and trusted science. What's more, we're achieving it in a company that we're in control of. In an environment that we're co-creating. And a culture that's uniquely ours. Care to join us. It isn't a question.

With category leading brands such as Sensodyne, Voltaren and Centrum, built on trusted science and human understanding, and combined with our passion, knowledge and expertise, we're uniquely placed to do this and to grow a strong, successful business.

This is a unique opportunity to join our high performing Data science team.

Hybrid working- min 2 days a week + onsite at London Bankside

Key Responsibilities

  • Participate in creating, evolving, and developing data science models for Marketing and Consumer Insights teams (Marketing Mix Modelling, Attribution Models, Personalisation, Digital and non-Digital marketing measurement etc)
  • Work closely with product owners, data engineers and machine learning engineers to deliver high quality data science powered solutions to interesting problems
  • Help prepare datasets to train and validate machine learning models
  • Define and implement metrics to evaluate the performance of the models
  • Support the deployment of machine learning models on our infrastructure
  • Leverage third-party, syndicated and media data to provide insights on media effectiveness, creative effectiveness, promotions and pricing to key stakeholders and specifically for joint business operations
  • Drive marketing automation, e.g. audience targeting and profiling, content production, digital marketing campaigns optimization...
  • Conceive and implement statistical models and Multi-Variate Tests to measure the impact of business decisions and market disruptions to surface empirical insights

Teamwork

  • Contribute to a highly collaborative team with a culture of openness and ownership
  • Work closely with key stakeholders on business objectives
  • Enable collaboration by contributing to the development of our AI foundations and reusable assets for Forecasting, Optimization, Segmentation, Attribution Models and Experimentation
  • Perform code reviews and ensure exceptional code quality
  • Manage & mentor junior data scientists & apprentices
  • Help building a culture of responsible AI, good governance, and ethics

Qualifications & Skills

  • MS or PhD degree in Data Science, Computer science, applied mathematics, statistics, or another relevant discipline with a strong foundation in modelling and computer science.
  • At least 2-5 years of industry experience with developing machine learning models and creating software pipelines to build and make predictions with those models
  • Strong understanding of machine learning approaches and algorithms (e.g. LSTM, Markov-Chain Models etc)
  • Advanced understanding of Statistical/Probabilistic programming and Linear Algebra
  • Be proficient in (Python, SQL) programming for Data Science and Time Series analysis
  • Have in depth understanding of statistical modelling / ML techniques for time series forecasting (ARIMA, ETS, Prophet, Time Series pattern detection, and ML methods)
  • Experience with Causal inference, Intervention analysis, Counterfactuals Estimation, Optimization and Scenarios simulation
  • Good experience with Probabilistic Programming and Bayesian Methods
  • Experience using machine learning frameworks such as scikit-learn, Pymc, TensorFlow, PyTorch, Databricks ML, Keras etc..., Experience with ML at scale
  • Proven attention to detail, critical thinking, and the ability to work both independently and collaboratively within a cross-functional team
  • Good communication skills including to non-technical audiences

Care to join us. Find out what life at Haleon is really like www.haleon.com/careers/

At Haleon we embrace our diverse workforce by creating an inclusive environment that celebrates our unique perspectives, generates curiosity to create unmatched understanding of each other, and promotes fair and equitable outcomes for everyone. We're striving to create a climate where we celebrate our diversity in all forms by treating each other with respect, listening to different viewpoints, supporting our communities, and creating a workplace where your authentic self belongs and thrives. We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are.

As you apply, we will ask you to share some personal information, which is entirely voluntary. We want to have an opportunity to consider a diverse pool of qualified candidates and this information will assist us in meeting that objective and in understanding how well we are doing against our inclusion and diversity ambitions. We would really appreciate it if you could take a few moments to complete it. Rest assured, Hiring Managers do not have access to this information and we will treat your information confidentially.

Haleon is an Equal Opportunity Employer. All qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class.

Accommodation Requests

If you require a reasonable accommodation or other assistance to apply for a job at Haleon at any stage of the application process, please let your recruiter know by providing them with a description of specific accommodations you are requesting. We'll provide all reasonable accommodations to support you throughout the recruitment process and treat all information you provide us in confidence.
#J-18808-Ljbffr

Related Jobs

View all jobs

Data Scientist

Data Scientist - Inside IR35 contract

Data Scientist - Graduate

Data Science Placement Programme

Data Science Placement Programme

Data Science Placement Programme

National AI Awards 2025

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.

How to Present Data Science Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

The ability to communicate clearly is now just as important as knowing how to build a predictive model or fine-tune a neural network. In fact, many UK data science job interviews are now designed to test your ability to explain your work to non-technical audiences—not just your technical competence. Whether you’re applying for your first data science role or moving into a lead or consultancy position, this guide will show you how to structure your presentation, simplify technical content, design effective visuals, and confidently answer stakeholder questions.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.