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- Tasks: Develop ML models for user acquisition and forecasting in AdTech and gaming.
- Company: Join a high-growth startup backed by top-tier VCs, based in London.
- Benefits: Enjoy flexible hybrid working, competitive salary, and equity options.
- Why this job: Make a real impact on data-driven decisions in a dynamic industry.
- Qualifications: 5+ years in data science with strong Python and SQL skills required.
- Other info: Collaborate with engineers and PMs to tackle large-scale challenges.
The predicted salary is between 43200 - 72000 £ per year.
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Senior Data Scientist – AdTech and/or Gaming | London (Hybrid)
Competitive salary+ Equity
London HQ | Hybrid (2–3 days/month in office)
High-growth startup | Backed by Tier-1 VCs
We’re hiring a Senior Data Scientist for a high-impact role at the intersection of AdTech and gaming. This is a rare chance to join a team solving billions in wasted UA spend with investment-grade ML models and petabyte-scale data.
Whether your background is in programmatic advertising, mobile user acquisition, or gaming analytics, you’ll be building the models that drive smarter spend, deeper insights, and better business outcomes.
What You’ll Do:
- Develop ML models for LTV prediction, user acquisition optimisation, and forecasting.
- Lead modelling initiatives from design to deployment.
- Work on real-world problems in AdTech, mobile gaming, or both.
- Explore new data sources and signals to improve model performance.
- Partner with engineers, PMs and commercial teams to deliver measurable impact.
You’ll Need:
- 5+ years in data science or ML roles, ideally within AdTech or gaming.
- Strong coding skills in Python, SQL, and modern ML libraries (XGBoost, PyTorch, etc.).
- Experience with time-series modelling, UA data, or predictive analytics.
- A creative, proactive mindset and a commercial eye for how data drives outcomes.
- Bonus: Experience in mobile games, DSPs, RTB, or performance marketing analytics.
Why Apply?
- Tackle real, large-scale problems in AdTech/gaming with ML that matters.
- Join a well-funded, low-ego startup with tier-1 investors and proven leadership.
- Shape the future of data-driven decision making in digital media.
- Flexible hybrid working and strong equity offering.
Interested in learning more?
Let’s talk. Or send someone my way who fits the bill!
contact:
#DataScience #AdTech #Gaming #MachineLearning #Hiring #Startups #LTV #UserAcquisition #Programmatic #LondonTech
Seniority level
-
Seniority level
Not Applicable
Employment type
-
Employment type
Full-time
Job function
-
Job function
Information Technology
-
Industries
Advertising Services and Spectator Sports
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Senior Data Scientist employer: SGI
Contact Detail:
SGI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Network with professionals in the AdTech and gaming sectors. Attend industry meetups, webinars, or conferences to connect with potential colleagues and learn about the latest trends. This can help you gain insights into what companies like us are looking for in a Senior Data Scientist.
✨Tip Number 2
Showcase your experience with machine learning models by discussing specific projects you've worked on. Be prepared to explain your approach to developing LTV prediction models or user acquisition optimisation strategies, as this will demonstrate your hands-on expertise relevant to our needs.
✨Tip Number 3
Familiarise yourself with the latest tools and technologies in data science, especially those mentioned in the job description like Python, SQL, and ML libraries. Being well-versed in these will not only boost your confidence but also show us that you're proactive and ready to hit the ground running.
✨Tip Number 4
Prepare to discuss how data drives business outcomes in your previous roles. We value candidates who can think commercially, so be ready to share examples of how your data-driven decisions have led to measurable impacts in past projects.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly in AdTech or gaming. Emphasise your coding skills in Python and SQL, as well as any experience with ML libraries like XGBoost or PyTorch.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and how your background aligns with the role. Mention specific projects where you've developed ML models or optimised user acquisition strategies.
Showcase Your Skills: In your application, include examples of your work with time-series modelling, predictive analytics, or any relevant projects in mobile gaming or programmatic advertising. This will demonstrate your hands-on experience.
Highlight Your Impact: When discussing your previous roles, focus on the measurable impact of your work. Use metrics to illustrate how your contributions led to improved business outcomes, such as increased efficiency or revenue growth.
How to prepare for a job interview at SGI
✨Showcase Your Technical Skills
Be prepared to discuss your coding skills in Python and SQL. Bring examples of ML models you've developed, especially those related to LTV prediction or user acquisition optimisation, as this will demonstrate your hands-on experience.
✨Understand the Industry
Familiarise yourself with the AdTech and gaming sectors. Research current trends and challenges in these industries, and be ready to discuss how your expertise can help tackle real-world problems they face.
✨Prepare for Problem-Solving Questions
Expect to encounter scenario-based questions that assess your problem-solving abilities. Think about how you would approach developing a model for a specific challenge in user acquisition or forecasting.
✨Demonstrate Collaboration Skills
Since the role involves partnering with engineers, PMs, and commercial teams, be ready to share examples of past collaborations. Highlight how you effectively communicated complex data insights to non-technical stakeholders.
