Data Scientist

Product Madness ??; London; Hybrid; GBP 70,000 - 75,000; Full time

Job summary

A leading gaming company is seeking a Data Scientist to analyze player behavior and drive marketing efficiency. You'll work with large datasets, applying statistical analysis and building models to inform user acquisition strategies. Enjoy the opportunity to impact game success within a skilled team and in a hybrid environment.

Qualifications

• Strong SQL experience required.
• Experience with Python or R programming.
• Understanding of machine learning and statistical methods.

Responsibilities

• Analyze player behavior across mobile games.
• Build forecasting models and causal inference.
• Collaborate with User Acquisition and Customer Support teams.

Skills

SQL

Python

R

Causal inference

Machine learning

Statistical analysis

Stakeholder management

Education

Degree in Data Science or related field

Job description

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You will join us as our new Data Scientist who will help us understand player behaviour across the portfolio of mobile games. Your primary focus will be in doing statistical analysis, using causal inference and building time-series/segmentation models. You will be working closely with our User Acquisition and Customer Support teams.

Why this role?

An opportunity for a Data Scientist to work with large and complex data sets,

with the autonomy to make a huge impact on the success of our games. The

Data Scientist will work as part of an experienced and highly skilled team of 20+

with opportunities to learn and develop.

What Will You Be Doing?

• Use simple analytics, causal inference, machine learning or any other

techniques to understand how users move across apps in our portfolio

• Based on your analysis/modelling, make recommendations for optimal

cross-promotional and user acquisition strategies

• Through dialogue with the business teams, formulate questions and

projects that lead to improved efficiency in marketing and customer

support

What We're Looking For

• Strong SQL Experience
• 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 marketing mix models and/or Bayesian time series would

be a big plus

• Strong theoretical understanding and experience with key classification

and regression models is a plus

Please note this role is offered on a hybrid work basis, with a minimum of 2 days a week required 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

At this time, we are unable to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship.

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Computer Games

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