Lead Data Scientist
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 119d ago
The date the source published, not the day we noticed it (2026-05-18). Last seen at its source 1h ago.
Is it remote?
The listing says yes
The location field doesn't say remote, so our assessment is based on the title or the description. Read the listing before applying.
Who may apply?
Europe
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay £74k–98.8k/yr
Middle 50% of 12 listings that do state pay — Operations · all levels · Europe · GBP/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
ashby employer's own board first seen 11d ago · last seen 1h ago
The listing
We are toogeza, a Ukrainian recruiting company that is focused on hiring talents and building teams for tech startups worldwide. People make a difference in the big game, we may help to find the right ones.
Currently, we are looking for a Lead Data Scientist for SpinLab.
Location: Remote
Job Type: Full-Time
About our client:
Spinlab helps slot gaming leaders unlock the potential of their data, enhancing business outcomes and strengthening their competitive edge in the market. The company collects and processes data using advanced methods and technologies to provide clients with clear, actionable recommendations based on real metrics. SpinLab’s goal is not just to collect data but to help businesses use it for maximum efficiency and amplify their performance results.
Role Overview:
As a Lead Data Scientist, you will combine hands-on expertise, technical leadership, and product thinking to drive the development of scalable ML solutions.
You will play a key role in:
Ensuring what we build drives business value
Defining how we build (processes, standards, scalability, performance)
This role requires close collaboration with product and business stakeholders to translate complex problems into practical, high-impact solutions.
Responsibilities:
Work closely with product and business teams to:
Translate business problems into data science solutions or data analytics researches
Define clear success metrics and KPIs
Turn insights into actionable recommendations that impact revenue and player behavior
Ensure all models and analyses are aligned with real business outcomes, not just technical performance
Design, build, and deploy ML models (e.g., churn prediction, LTV forecasting, revenue uplift, player segmentation) from experimentation to production.
Define and implement standardized, scalable DS/DA processes across the team:
Model development lifecycle (design → validation → production)
Code quality, documentation, and reproducibility
Experimentation and evaluation frameworks
Continuously improve delivery efficiency, reducing time from idea → production
Identify opportunities to automate manual analytical workflows using AI/ML
Requirements:
Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science,Economics, or a related quantitative field.
5+ years of experience as a Senior Data Scientist role/Lead role, leading both analytical and data science domain work.
Strong SQL and Python skills; experience with large datasets, notebooks, reproducible analysis, and Git-based workflows.
Solid knowledge of ML, statistics, experimental design, A/B testing, holdout evaluation, and business KPI analysis.
Commercial experience with predictive modeling, classification, segmentation,forecasting, model evaluation, and business impact measurement.
Experience with churn, uplift, LTV, retention, campaign analytics, or user behaviormodeling is a strong advantage.
Strong analytical and problem-solving mindset; ability to find the story in the data:uncovering trends and explaining them in clear business terms.
Commercial Experience working with large datasets and distributed computing tools(BigQuery, Spark, Hive, or similar).
Solid understanding of experimental design and statistical testing (A/B testing,hypothesis testing, confidence intervals).
Familiarity with causal inference techniques (e.g., Propensity Score Matching, Instrumental Variables, Difference-in-Differences, uplift modeling), and predictivemodeling techniques.
English B2+
Will be a plus:
Experience in gaming, gambling, fintech, e-commerce, subscription, or other user-behavior-driven products.
Experience with BI tools such as Tableau, Looker, or Power BI.
Product mindset: the ability to go beyond numbers and propose actionable solutionsthat make an impact.
Benefits:
Work on meaningful data products and shape them with your vision.
25 vacation days + 15 sick days + 1 birthday leave.
Budget for English classes.
Budget for health insurance.
Annual education & development budget.
Remote-friendly culture with a small, dedicated team.
What’s next?
If this role sounds like a fit — we’d love to hear from you! Just send over your CV and anything else you’d like us to consider.
We’ll review everything within five working days, and if your background matches what we’re looking for, we’ll get in touch to set up a call and get to know each other better.