Principal Data Scientist - Lead ML for Player Engagement in London

Principal Data Scientist - Lead ML for Player Engagement in London

London Full-Time 70000 - 90000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead data science initiatives and develop machine learning models to enhance player engagement.
  • Company: Join Aristocrat, a leader in the gaming industry, based in Greater London.
  • Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
  • Why this job: Make a real impact on player engagement through innovative data science projects.
  • Qualifications: PhD or MSc with 5+ years of experience in data science, SQL, and Python.

The predicted salary is between 70000 - 90000 £ per year.

Aristocrat is looking for a Principal Data Scientist to join their team in Greater London. This role involves leading data science initiatives, developing machine learning models, and improving player engagement.

Applicants should have a PhD or MSc and 5+ years of relevant experience, including proficiency in SQL and Python.

The position offers the chance to work on innovative projects while collaborating with diverse teams in a dynamic industry.

Principal Data Scientist - Lead ML for Player Engagement in London employer: GamblingCareers.com

Aristocrat is an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration in the heart of Greater London. Employees benefit from competitive remuneration, comprehensive professional development opportunities, and the chance to work on cutting-edge projects that enhance player engagement. Join us to be part of a forward-thinking team where your contributions truly matter and can lead to meaningful advancements in the gaming industry.

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Contact Details:

GamblingCareers.com Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Principal Data Scientist - Lead ML for Player Engagement in London

Tip Number 1

Network like a pro! Reach out to current or former employees at Aristocrat on LinkedIn. A friendly chat can give us insider info and maybe even a referral!

Tip Number 2

Show off your skills! Prepare a portfolio showcasing your machine learning projects, especially those that improved engagement. This will help us stand out during interviews.

Tip Number 3

Practice makes perfect! Get ready for technical interviews by brushing up on SQL and Python. We can even do mock interviews together to boost our confidence.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our CV and cover letter to match what Aristocrat is looking for.

We think you need these skills to ace Principal Data Scientist - Lead ML for Player Engagement in London

Machine Learning
Data Science
SQL
Python
PhD or MSc
Player Engagement
Collaboration

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience in data science and machine learning. We want to see how your skills align with the role, so don’t be shy about showcasing your SQL and Python expertise!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about player engagement and how your background makes you the perfect fit for our team. Let us know what excites you about working with us at Aristocrat.

Showcase Your Projects:If you've worked on any innovative projects or have relevant research, make sure to include them in your application. We love seeing real-world applications of your skills, especially those that demonstrate your ability to lead and collaborate.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it’s super easy!

How to prepare for a job interview at GamblingCareers.com

Know Your Data Science Fundamentals

Brush up on your data science principles, especially around machine learning models. Be ready to discuss your past projects and how you applied these concepts to improve player engagement.

Showcase Your Technical Skills

Since proficiency in SQL and Python is crucial, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice common algorithms and data manipulation tasks beforehand.

Understand the Company’s Vision

Research Aristocrat and their approach to player engagement. Familiarise yourself with their products and recent innovations. This will help you align your answers with their goals and show that you're genuinely interested in the role.

Prepare for Team Collaboration Questions

As this role involves working with diverse teams, expect questions about collaboration and communication. Think of examples where you've successfully worked in a team setting, particularly in a data-driven environment.