Apply Now! Data Scientist

First Touch Games Ltd.
Oxford
1 year ago
Applications closed

Related Jobs

View all jobs

Product Data Scientist: Shape Product Strategy with Data

Applied AI Data Scientist — Real-World Delivery (Cambridge)

Manufacturing Data Scientist

Data Scientist

Data scientist (IT) level 6 apprentice - Immunocore Immunocore

DV Cleared Data Scientist

First Touch Games are looking for a Data Scientist tojoin the team in Oxford to help deliver the best football games onmobile platforms. You will have at least 2 years of experience infree to play mobile gaming in a workplace environment, or in aclosely related industry. You relish being part of a small &highly proficient data science team of that plays an important rolein delivering ongoing success for the Studio. You are a hugefootball fan too with a deep understanding of the game, enhancingyour data science skills to extract unique analysis of the highestquality. Working with our Head of Product and Data Science andacross the Studio generally, you will: - Develop & maintainqueries and visualisations that help monitor the key metrics of ourgames - Drill into in any areas of game performance variability toprovide actionable insight for decision making - Perform deep diveanalysis that illuminates player behaviour and improve gameexperience - Design and assess the results of various split testingexperiments - Support the ongoing development of the Studio’s datagovernance, BI tools and technologies Required skills &experience: - Bachelor’s degree in Computer Science, Mathematics,Statistics or other relevant field - Good knowledge of dataquerying and extraction abilities through SQL and Python or othersimilar languages - Confident data modeller with a goodunderstanding of statistical and visualisation techniques, - Anexcellent problem solver with an ability to think critically andcreatively - Gaming enthusiast, in particular free-to-play mobilegames - An excellent communicator, both technical andnon-technical, written and oral - A passionate football fan, eitherthrough playing the game regularly or following the game deeply,including viewing matches regularly and participating in fantasyfootball competitions This is a full time, permanent role based atour Oxford studio. Candidates must have the right to live and workpermanently in the UK. Why Join Us: We’re a small and highlysupportive team who love football, sport and games. We’re good atwhat we do and we’re well-known for it. This is a rare opportunityto be an important part of our continued success. Individuals whoplace the success of the team first, but who can demonstrate talentand passion, thrive with us. Benefits: Zero Overtime, Relocation,Excellent Bonuses, Healthcare, Free Gym, Pension, Flexible CoreHours, Enhanced Maternity & Paternity leave, Free Drinks &Snacks, Club-Wembley Football Tickets. Salary: £DOE We are an equalopportunities employer. If you are qualified for this role and areattracted to our benefits and values then we welcome all candidatesirrespective of sex, race, age, disability, sexual orientation,religion or belief. Absolutely no speculative agency applicationsplease.

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.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.