Senior Data Scientist, London

Aristocrat
London
11 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist - Financial Crime

Senior Data Scientist
You will join Product Madness, a global mobile gaming company as our new Senior Data Scientist who will work with our Customer Support and VIP Management teams. You will enhance our understanding of the player journey and make recommendations to improve player retention. You will work with tabular and text data, using statistical analysis, causal inference and NLP.
What will your role involve?

Use simple analytics, causal inference, machine learning or any other
techniques to understand user experience within the apps and their
interactions with customer support

Based on your analysis/modelling, make recommendations for new ways for our Customer Support and VIP Management teams to interact with our players

Work with our User Acquisition teams to help them understand efficiency of current marketing efforts and recommend improvements

Through dialogue with the business teams, formulate questions and projects that lead to improved efficiency in marketing and customer support

What Were Looking For
What we need from you

Degree in a quantitative field required

Strong SQL

Experience coding in Python or R

Experience in building forecasting models / doing causal inference / segmentation

Ability to explain ideas and present results to non-technical audiences

Strong stakeholder management skills

Experience with NLP would be a big plus

Strong theoretical understanding and experience with key classification and regression models is a plus

Please note this is a hybrid role where you will be required to work 2 days a week in our central London office.
What we can offer you

Competitive salary
Yearly bonus
Private medical
25 days annual leave + Birthday off + Special occasion day + All bank holidays
Additional closure at Christmas
Medicash
up to 8 matched pension
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, Gda sk, 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?

SQL, Python, R, NLP

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 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.

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.