Analytics & ML Product Manager (CLV/LTV) in London

Analytics & ML Product Manager (CLV/LTV) in London

London Full-Time 80000 - 120000 £ / year (est.) No working from home possible
Sony Interactive Entertainment

At a Glance

  • Tasks: Lead strategy for data-driven products and enhance business decision-making.
  • Company: Join Sony Interactive Entertainment, a leader in gaming technology.
  • Benefits: Competitive salary, dynamic work environment, and opportunities for growth.
  • Other info: Collaborate across teams in a vibrant and innovative culture.
  • Why this job: Shape the future of player engagement with cutting-edge analytics and AI/ML.
  • Qualifications: 12+ years of experience in product management and data science methodologies.

The predicted salary is between 80000 - 120000 £ per year.

Sony Interactive Entertainment is looking for a Staff Product Manager in London, focusing on Analytics and AI/ML capabilities. You will lead strategy and execution of data-driven products that enhance business decision-making, coordinating efforts across multiple teams.

The ideal candidate has over 12 years of experience, strong leadership, and proficiency in data science methodologies. Join a foremost leader in gaming technology and help shape the future of player engagement.

Analytics & ML Product Manager (CLV/LTV) in London employer: Sony Interactive Entertainment

At Sony Interactive Entertainment, we pride ourselves on fostering a dynamic and inclusive work culture that champions innovation and collaboration. As a leader in gaming technology based in London, we offer our employees exceptional growth opportunities, competitive benefits, and the chance to work on cutting-edge projects that shape the future of player engagement. Join us to be part of a forward-thinking team where your expertise in analytics and AI/ML will make a meaningful impact.

Sony Interactive Entertainment

Contact Details:

Sony Interactive Entertainment Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Analytics & ML Product Manager (CLV/LTV) in London

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Apply Directly through Our Website

When you find a suitable opening like Analytics & ML Product Manager (CLV/LTV) at Sony Interactive Entertainment, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Analytics & ML Product Manager (CLV/LTV) in London

Leadership Skills
Data Science Methodologies
Analytics
AI/ML Capabilities
Product Management
Strategic Planning
Cross-Functional Coordination

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

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Craft a Tailored Cover Letter:For a full-time role at Sony Interactive Entertainment, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Sony Interactive Entertainment. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Sony Interactive Entertainment

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

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Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Sony Interactive Entertainment!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.