Principal Data Scientist - Gram Games (London)
Principal Data Scientist - Gram Games (London)

Principal Data Scientist - Gram Games (London)

South Kensington Full-Time 48000 - 84000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead a team of data scientists to drive innovative data solutions for gaming.
  • Company: Join Zynga, a global leader in interactive entertainment with over 6 billion game downloads.
  • Benefits: Enjoy flexible working options and a vibrant company culture focused on creativity.
  • Why this job: Shape the future of gaming while making impactful decisions in a fun environment.
  • Qualifications: 5+ years in analytics, advanced degree in a quantitative field, and strong programming skills required.
  • Other info: Zynga values diversity and is committed to equal opportunity employment.

The predicted salary is between 48000 - 84000 £ per year.

At Zynga, we bring people together through the power of play. As a global leader in interactive entertainment and a proud label of Take-Two Interactive, our games have been downloaded over 6 billion timesconnecting players in 175+ countries through fun, strategy, and a little friendly competition.

Founded in 2007 and headquartered in California, our teams span North America, Europe, and Asia, working together to craft unforgettable gaming experiences. Whether you\’re spinning, strategizing, matching, or competing, Zynga is where fun meets innovationand where you can take your career to the next level.

Join us and be part of the play!

As a Principal Data Scientist, you will play a key leadership role in driving Gram Games\’ data-driven culture and strategy. You will lead a team of data professionals while serving as a technical authority across the organization. Working closely with product teams, marketing team, and executive leadership, you\’ll develop innovative data science solutions, establish data strategy frameworks, and create advanced predictive models that directly impact product performance, player experience, and business growth. Your expertise will influence critical decision-making at all levels and help shape the future of our games.
Have you got what it takes to succeed The following information should be read carefully by all candidates.
What Youll Do

  • Lead and mentor a team of data scientists and analysts, providing technical guidance, career development, and fostering collaboration across teams
  • Define and implement our data science strategy, aligning it with business objectives and ensuring that data insights drive key decisions across the studio
  • Develop advanced machine learning models, predictive analytics systems, and statistical frameworks to optimize player engagement, retention, and monetization
  • Create and enhance performance marketing models to improve user acquisition efficiency, ROI analysis, and LTV prediction
  • Design and oversee complex A/B testing frameworks to evaluate game features, marketing campaigns, and monetization strategies, monitoring results and delivering actionable recommendations
  • Translate complex technical concepts and analytical findings into clear, compelling narratives that drive strategic decisions at the executive level
  • Collaborate with engineering teams to implement data solutions in production environments and ensure data infrastructure meets the needs of data science initiatives
  • Stay at the forefront of data science advancements, evaluating new methodologies and technologies to maintain competitive advantage
  • Serve as the data authority in strategic planning sessions, using your expertise to influence product roadmaps and business strategy
  • Build strong relationships with key stakeholders across the organization to understand their needs and ensure data science initiatives deliver measurable business impact

What You Bring

  • Genuine passion for video games and a deep understanding of the mobile gaming industry
  • 5+ years of experience in analytics, with at least 2 years in a senior role, preferably in gaming or a similar digital product company
  • Advanced degree in Computer Science, Statistics, Mathematics, or related quantitative field
  • Expert knowledge of statistics, machine learning, and causal inference techniques with demonstrated ability to apply them to real-world business problems
  • Mastery of programming languages such as Python and SQL, with experience building production-level data science applications
  • Proven track record of leading successful data science initiatives that delivered significant business impact
  • Experience with big data technologies and cloud platforms (AWS, Snowflake, etc.)
  • Strong project management skills with ability to prioritize, manage resources, and deliver complex projects on time
  • Exceptional communication skills with the ability to present complex findings to both technical and non-technical audiences
  • Deep understanding of performance marketing in mobile games, including user acquisition strategies, marketing attribution, ROAS optimization, and LTV modeling
  • Demonstrated leadership abilities, including mentoring data professionals and influencing cross-functional stakeholders
  • Strategic thinking with the ability to connect data insights to business objectives and drive organizational change
  • Experience with game analytics, player behavior modeling, and free-to-play monetization strategies is highly desirable

#LI-Hybrid

We are proud to be an equal opportunity employer, which means we are committed to creating and celebrating diverse thoughts, cultures, and backgrounds throughout our organization. Employment with us is based on substantive ability, objective qualifications, and work ethic not an individuals race, creed, color, religion, sex or gender, gender identity or expression, sexual orientation, national origin or ancestry, alienage or citizenship status, physical or mental disability, pregnancy, age, genetic information, veteran status, marital status, status as a victim of domestic violence or sex offenses, reproductive health decision, or any other characteristics protected by applicable law.

As an equal opportunity employer, we are committed to providing the necessary support and accommodation to qualified individuals with disabilities, health conditions, or impairments (subject to any local qualifying requirements) to ensure their full participation in the job application or interview process. Please contact us at to request any accommodations or for support related to your application for an open position.

Please be aware that Zynga does not conduct job interviews or make job offers over third-party messaging apps such as Telegram, WhatsApp, or others. Zynga also does not engage in any financial exchanges during the recruitment or onboarding process, and will never ask a candidate for their personal or financial information over an app or other unofficial chat channel. Any attempt to do so may be the result of a scamp or phishing attack, and you should not engage. Zyngas in-house recruitment team will only contact individuals through their official Company email addresses (i.e., via a zynga.com, naturalmotion.com, smallgiantgames.com, themavens.com, gram.gs email domain).

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Principal Data Scientist - Gram Games (London) employer: ZYNGA INC

At Zynga, we foster a vibrant work culture that thrives on creativity and collaboration, making it an exceptional employer for those passionate about gaming. Our London office offers unique opportunities for professional growth, with access to cutting-edge technologies and a commitment to diversity and inclusion. Join us to lead innovative data science initiatives that not only enhance player experiences but also drive significant business impact in a fun and dynamic environment.
Z

Contact Detail:

ZYNGA INC Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Principal Data Scientist - Gram Games (London)

✨Tip Number 1

Familiarise yourself with the latest trends in data science and gaming. Being able to discuss recent advancements or methodologies during your interview can demonstrate your passion and expertise in the field.

✨Tip Number 2

Network with current employees at Zynga or Gram Games through platforms like LinkedIn. Engaging with them can provide insights into the company culture and expectations, which can be invaluable during your interview.

✨Tip Number 3

Prepare to showcase your leadership skills by discussing past experiences where you mentored others or led successful projects. Highlighting these experiences can set you apart as a candidate who aligns with their need for a strong leader.

✨Tip Number 4

Brush up on your communication skills, especially in translating complex data concepts into simple narratives. Practising this will help you convey your ideas effectively during interviews, making a strong impression on the hiring team.

We think you need these skills to ace Principal Data Scientist - Gram Games (London)

Leadership and Mentoring
Advanced Machine Learning Techniques
Statistical Analysis
Predictive Analytics
Programming in Python and SQL
Big Data Technologies
Cloud Platforms (AWS, Snowflake)
Project Management
Performance Marketing Knowledge
User Acquisition Strategies
Marketing Attribution
Return on Advertising Spend (ROAS) Optimisation
Lifetime Value (LTV) Modelling
A/B Testing Frameworks
Data Storytelling
Cross-Functional Collaboration
Game Analytics
Player Behaviour Modelling
Free-to-Play Monetisation Strategies

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly in gaming or digital products. Emphasise your leadership roles and any successful projects that align with the responsibilities outlined in the job description.

Craft a Compelling Cover Letter: In your cover letter, express your passion for video games and how your background aligns with Zynga's mission. Discuss specific examples of how you've driven data-driven strategies and influenced decision-making in previous roles.

Showcase Technical Skills: Clearly list your technical skills, especially in programming languages like Python and SQL, as well as your experience with machine learning and big data technologies. Provide examples of how you've applied these skills to solve real-world business problems.

Prepare for Interviews: If selected for an interview, be ready to discuss your approach to data science challenges, your leadership style, and how you would contribute to Zynga's data-driven culture. Prepare to explain complex concepts in a way that is accessible to non-technical stakeholders.

How to prepare for a job interview at ZYNGA INC

✨Show Your Passion for Gaming

Make sure to express your genuine enthusiasm for video games and the mobile gaming industry. Share specific examples of games you love and how they inspire your work in data science.

✨Demonstrate Technical Expertise

Be prepared to discuss your experience with machine learning models, programming languages like Python and SQL, and any big data technologies you've worked with. Highlight specific projects where your technical skills made a significant impact.

✨Communicate Clearly

Practice translating complex data concepts into simple, compelling narratives. During the interview, focus on how you can present your findings to both technical and non-technical audiences, as this is crucial for influencing decision-making.

✨Prepare for Leadership Questions

Since this role involves mentoring and leading a team, be ready to discuss your leadership style and experiences. Think of examples where you've successfully guided a team or influenced cross-functional stakeholders to achieve business objectives.

Principal Data Scientist - Gram Games (London)
ZYNGA INC

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Z
  • Principal Data Scientist - Gram Games (London)

    South Kensington
    Full-Time
    48000 - 84000 £ / year (est.)

    Application deadline: 2027-08-12

  • Z

    ZYNGA INC

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