Posted on 
May 14, 2025

Senior Data Scientist

London
Mid-Senior ICs
Aristocrat
Aristocrat
Aristocrat

Aristocrat Leisure Limited (Aristocrat) is a global entertainment and content creation company powered by technology to deliver world-leading casino and mobile games. Aristocrat offers a diverse range of products and services including electronic gaming machines, casino management systems, free-to-play mobile games and online real money games. 

Aristocrat has seven corporate functions and three operating business units, spanning regulated land-based gaming (Aristocrat Gaming), social casino (Product Madness) and regulated online real money gaming (Aristocrat Interactive). Our game and product portfolios collectively entertain millions of players worldwide every day. 

Job Description

You will join us as our new Senior Data Scientist who will help us optimise our user acquisition efforts within the mobile gaming space. Your primary focus will be in doing statistical analysis, building time-series models and using causal inference. You will be working closely with our User Acquisition team to advise them on optimal budget allocation.

An opportunity for you to work with large and complex data sets, with the autonomy to make a huge impact on the success of our hit mobile games. You will work as part of an experienced and highly skilled team of 20+ data scientists globally with opportunities to learn and develop.

What You'll Do

  • Use simple analytics, causal inference, machine learning or any other techniques to understand our user behaviour and assess effectiveness of multiple marketing channels
  • Build or improve existing forecasting models. Based on your analysis/forecasting models, make recommendations for optimal allocation of user acquisition budget
  • Through dialogue with the UA team and data analysis, formulate questions and projects that lead to improved marketing effectiveness

What We're Looking For

  • Strong SQL
  • Experience coding in Python or R
  • Experience in building forecasting models and/or doing causal inference
  • 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

By joining Product Madness you will have the ability to really enhance your career whilst developing your skills and experience. You will also be entitled to a generous benefits package that includes

  • Highly competitive salary
  • Yearly bonus
  • up to 8% matched pension
  • Private Medical
  • 25 Days Annual leave + Birthday off + Special occasion day + Bank Holidays
  • Christmas closure on top of your holiday allowance

Please note we work a hybrid work schedule with a minimum of 2 days a week in the 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?

Our Values

  • People First

  We have the deepest respect for our people and their well being. We know they are exceptionally talented and will always have a choice. We want them to re-choose us every day. We are committed to building a culture where each person's voice will always be heard and addressed.

  • MAD for More

  Always improving, innovating and never settling for the existing. We push all boundaries with courage and ambition to become the world’s best games company.

  • Champion Together   

  We excel at what we do but yet remain humble and helpful to our teammates. We champion one another and hold each other to high standards without any egos.

  • Globally Inclusive

  We are all Equal - regardless of the language we speak, where we live, our gender, religion or culture we come from. We want to build a global home, where everyone has the equal opportunity to make an impact.

  • Customer Focused

  We always think from the customer's perspective - be it players or internal customers.

  Improving their experience and joy is what drives us. Every client's success is our big win!

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.

You will join us as our new Senior Data Scientist who will help us optimise our user acquisition efforts within the mobile gaming space. Your primary focus will be in doing statistical analysis, building time-series models and using causal inference. You will be working closely with our User Acquisition team to advise them on optimal budget allocation.

An opportunity for you to work with large and complex data sets, with the autonomy to make a huge impact on the success of our hit mobile games. You will work as part of an experienced and highly skilled team of 20+ data scientists globally with opportunities to learn and develop.

What You'll Do

  • Use simple analytics, causal inference, machine learning or any other techniques to understand our user behaviour and assess effectiveness of multiple marketing channels

  • Build or improve existing forecasting models. Based on your analysis/forecasting models, make recommendations for optimal allocation of user acquisition budget

  • Through dialogue with the UA team and data analysis, formulate questions and projects that lead to improved marketing effectiveness

What We're Looking For

  • Strong SQL

  • Experience coding in Python or R

  • Experience in building forecasting models and/or doing causal inference

  • 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

By joining Product Madness you will have the ability to really enhance your career whilst developing your skills and experience. You will also be entitled to a generous benefits package that includes

  • Highly competitive salary

  • Yearly bonus

  • up to 8% matched pension

  • Private Medical

  • 25 Days Annual leave + Birthday off + Special occasion day + Bank Holidays

  • Christmas closure on top of your holiday allowance

Please note we work a hybrid work schedule with a minimum of 2 days a week in the 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?

Our Values

  • People First

    We have the deepest respect for our people and their well being. We know they are exceptionally talented and will always have a choice. We want them to re-choose us every day. We are committed to building a culture where each person's voice will always be heard and addressed.

  • MAD for More

    Always improving, innovating and never settling for the existing. We push all boundaries with courage and ambition to become the world’s best games company.

  • Champion Together
    We excel at what we do but yet remain humble and helpful to our teammates. We champion one another and hold each other to high standards without any egos.

  • Globally Inclusive

    We are all Equal - regardless of the language we speak, where we live, our gender, religion or culture we come from. We want to build a global home, where everyone has the equal opportunity to make an impact.

  • Customer Focused

    We always think from the customer's perspective - be it players or internal customers.

    Improving their experience and joy is what drives us. Every client's success is our big win!

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.

Why apply via Tech Ladies
Receive Tech Ladies'
newest jobs in your inbox,
every week.

Join Tech Ladies for full-access to the job board, member-only events, and more!

If you're already a member, we haven't forgotten you. We promise. It's a new system. If you fill out the form once, it'll remember you going forward. Apologies for the inconvenience.

London
London
No items found.
No items found.
Hybrid
Hybrid