Data Scientist

Trust In SODA
Greater London, England
12 months ago
Applications closed

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Data Scientist – HIRING ASAP

Start Date: ASAP
Duration: 11-month initial contract
Location: Remote
Rate: £415 - £500 per day PAYE
 
Responsibilities

  • Conduct deep, thorough analysis to uncover patterns, insights, and opportunities to support the continued growth of our App & Gaming business.
  • Generate and test hypotheses and analyse and interpret the results of product experiments.
  • Work directly with engineers, product managers, and other functions to translate insights into product direction.
  • Provide business intelligence (BI) and data visualisation support to help leads understand the health of our business.
  • Apply knowledge of statistics, machine learning, programming, data modelling, and simulation to support the above

Key Skills

  • Strong understanding of querying relationship databases with SQL, including experience working with very large datasets
  • ML technical system knowledge
  • 10+ years’ experience.
  • Experienced using programming languages such as Python and/or R.
  • Ability to communicate effectively in writing, including conveying complex information and promoting in-depth engagement on course topics.
  • Ability to drive alignment across a diverse set of stakeholders.

Bonus Skills

  • Experience working in Ads / Ad Tech
  • Experience in the App or Gaming industry.
  • Previously worked at a large technology company

Industry Insights

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

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Data Science Jobs UK 2026: What to Expect Over the Next 3 Years

Data science has spent the past decade being described as the sexiest job of the twenty-first century. By 2026, the reality is both more nuanced and more interesting than that label ever suggested. The discipline has matured, fragmented, deepened, and in some respects reinvented itself — and the jobs market has changed with it in ways that create genuine opportunity for those who understand what employers actually want, and genuine difficulty for those still operating on assumptions formed five years ago. The data science jobs market of 2026 is not simply a larger version of what it was three years ago. The generalist data scientist — equally comfortable wrangling data, building models, and presenting insights to the board — is giving way to a more specialised landscape where employers know exactly what problem they are trying to solve and are looking for candidates with the specific depth to solve it. Machine learning engineering, causal inference, experimentation, AI product development, and domain-specific applied science have all emerged as distinct career tracks within what was previously a single, loosely defined profession. At the same time, the arrival of large language models and the broader AI capability wave has both threatened and created data science roles in equal measure. Some of the work that junior data scientists spent their early careers doing — data cleaning, exploratory analysis, basic model building — is being partially automated by AI tooling. But the demand for practitioners who can evaluate AI systems rigorously, apply statistical thinking to complex business problems, and build the data foundations on which AI depends has grown considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what data scientists are expected to build and know, and how to position a data science career that will remain valuable as the field continues to evolve around them. This article breaks down what the UK data science jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

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.