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- Tasks: Enhance recommendation systems and conduct deep behavioural analytics for an entertainment publisher.
- Company: Leading entertainment publisher in Greater London with a dynamic team.
- Benefits: Competitive salary, collaborative environment, and opportunities for professional growth.
- Why this job: Make a real impact on player experiences through data-driven insights and innovative solutions.
- Qualifications: Proficiency in Python, SQL, and applied mathematics; strong communication skills required.
- Other info: Join a passionate team focused on optimising marketing strategies and delivering unforgettable experiences.
The predicted salary is between 36000 - 60000 £ per year.
A leading entertainment publisher in Greater London seeks a passionate Data Scientist to enhance recommendation systems and conduct deep behavioral analytics. The successful candidate will bridge gaps between recommendation and forecast teams, integrating predictive models to optimize marketing strategies.
Essential skills include proficiency in Python, SQL, and applied mathematics. The role emphasizes collaboration, requiring strong communication skills and a delivery-focused mindset. Join a dynamic team committed to creating unforgettable player experiences.
Data Scientist - Personalization & Recommendations in London employer: Square Enix
Contact Detail:
Square Enix Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Personalization & Recommendations in London
✨Tip Number 1
Network like a pro! Reach out to current employees in the company or industry on LinkedIn. A friendly chat can give you insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Python and SQL. This is your chance to demonstrate your expertise in data science and how you can enhance recommendation systems.
✨Tip Number 3
Prepare for the interview by brushing up on your communication skills. Practice explaining complex concepts in simple terms, as collaboration is key in this role. We want to see how well you can bridge gaps between teams!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Scientist - Personalization & Recommendations in London
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for data science shine through! We want to see how passionate you are about enhancing recommendation systems and making a real impact in the entertainment industry.
Highlight Relevant Skills: Make sure to showcase your proficiency in Python, SQL, and applied mathematics. We’re looking for candidates who can bridge gaps between teams, so don’t forget to mention any experience you have with predictive models and marketing strategies!
Emphasise Collaboration: Since this role is all about teamwork, highlight your strong communication skills and any past experiences where you’ve successfully collaborated with others. We value a delivery-focused mindset, so share examples of how you’ve achieved results together with your team.
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 get to know you better. Plus, it shows you’re serious about joining our dynamic team!
How to prepare for a job interview at Square Enix
✨Know Your Data Science Stuff
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss how you've used these tools in past projects, especially in relation to recommendation systems and behavioural analytics.
✨Show Off Your Collaboration Skills
Since this role involves bridging gaps between teams, think of examples where you've successfully collaborated with others. Prepare to share how you communicated complex data insights to non-technical stakeholders.
✨Think Like a Marketer
Understand how predictive models can optimise marketing strategies. Be prepared to discuss how your analytical skills can directly impact player experiences and marketing outcomes.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company’s current recommendation systems and future goals. This shows your genuine interest in the role and helps you understand how you can contribute to their mission.