Data Scientist

Product Madness (U.K) Limited
London
9 months ago
Create job alert

As one of our GamesDataScientistsyou will be thebusinessfacingmastermindswhohelpturnbusinessquestions intoactionableinsights.Youresearchandanalyzeplayerbehaviour,andcomeupwith recommendations.DataScientistsdothisbylisteningto team members,understandingcontext andchallengingbusinessideas.DataScientistsusediversetechniques-frequentistand Bayesianstatistics,machinelearning,exploratoryandexplanatorydataanalysis,causal inference,datavisualization,montecarlomodelling,econometricanalysis,etc.Suchbroad requirementscallfortheabilitytolearnquickly,workefficientlywithpeersandcommunicate dataclearlyandeffectively.GamesDataScientistsaretruevisionarieswhosupportbusiness decisions with data and in-depth analytics.

You will have the opportunity to work with large and complex data sets, with the autonomy to make a huge impact on the success of our games. You will also be working as part of an experienced and highly skilled team of 20 with opportunities to learn and develop.


What you'll do

Discuss with stakeholders requirements for analysis

Run exploratory data analysis and turn it into questions which can be answered with analytical techniques

Use simple analytics, statistical or causal inference, machine learning or any other techniques to answer questions and address problems

Communicate results clearly and effectively

Take care of unclear and ambiguous requirements

Communicate complex ideas and analyses in a simple way

Work independently on complex projects

Be willing to acquire new skills and learn new methodologies, whether related to stakeholder management, communication or data science

Be able to use diverse data science tools and approaches

What we're looking for

A degree or equivalent work experience in data driven field

Ability to use visualization techniques for communicating data and analysis

Experience of using any of the following to answer business or scientific questions -statistics, mathematics, machine learning, econometrics, causal techniques, monte carlo modelling, etc.

R/Python experience

Knowledge and experience of SQL

Ability to work a minimum of 3 days a week in our central london office.

Why Product Madness?

As part of the Aristocrat family, we share their mission of bringing joy to life through the power of play, with a world-class team who creates top-grossing, leading titles in the social casino genre, including Heart of Vegas, Lightning Link, Cashman Casino. With 800 team members across the globe, Product Madness is headquartered in London, with offices in Barcelona, Gdańsk, Lviv, Montreal and a remote team spanning the USA, making us a truly global powerhouse.

We live by our People First principle. Regardless of where, when, or how they work, our team members have opportunities to elevate their careers, and grow alongside us. We take pride in fostering an inclusive culture, where our people are encouraged to be their very best, every day. But don’t just take our word for it. In 2024, we made the Global Inspiring Workplace Awards list, and won a bronze award at the Stevies for Great Employers in the ‘Employer of the Year - Media and Entertainment’ category.

So, what’s stopping you?

Travel Expectations

None

Additional Information

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist - SC Cleared

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.

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.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.