Applied Data Scientist FTC
Listed on 2026-02-22
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IT/Tech
Data Analyst, Data Scientist, Data Science Manager, Machine Learning/ ML Engineer
Applied Data Scientist - London, UK - FTC
London, UK
SnapshotAre you an experienced Applied Data Scientist (3+ years of experience) excited to use strong technical and analytical skills to power our mission to bring the benefits of AI to the world?
Join Google Deep Mind’s Core Analytics Team on a Fixed Term Contract! You will bring a data lens to strategic business problems around our People & Culture strategy and research priorities – contributing to Google Deep Mind’s mission.
This role focuses on leveraging data science techniques – particularly advanced SQL, Python for analysis, and statistical methods – to drive strategic decisions and generate insights, rather than deep machine learning model development.
About usGoogle Deep Mind
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Artificial Intelligence could be one of humanity’s most useful inventions. At Google Deep Mind, we’re working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.
Core Analytics Team
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The Core Analytics Team (CAT) are a full stack data science team that organise, model, and deploy data to guide Google Deep Mind strategy & decisions, blending our technical skillset with rich stakeholder relationships to deliver impact.
We are looking for an experienced Applied Data Scientist who is skilled at and motivated by translating ambiguous business problems into structured, data-driven analyses that drive organisational decisions and change.
This role will focus on driving data-driven decision-making in our research planning, and People & Culture teams. You will provide critical insights into areas such as measurement of research impact, investment strategy, attrition and employee engagement.
You will be embedded within the problem domain, working closely with program managers, engineers, the People & Culture team, and leadership to understand their challenges, formulate key questions, and deliver timely insights.
Key responsibilities- Strategic Partnership: Work directly with stakeholders, including senior leaders, to identify, scope, and prioritise high-impact analytical questions.
- Analysis: Conduct rigorous, end-to-end analyses using SQL, Python, and statistical methods to uncover insights, model trends, and answer complex questions about efficiency, usage patterns, and strategic investments.
- Data Storytelling & Communication: Translate complex analytical findings into clear, compelling narratives and actionable recommendations for diverse audiences (technical and non-technical) through presentations, reports, and dashboards.
- Enablement & Monitoring: Develop and maintain tools (dashboards, reports) to provide ongoing visibility into key metrics and empower stakeholders with self-service analytics where appropriate.
- Identify Data Needs: Collaborate with engineering and product teams to highlight data gaps and advocate for the collection of telemetry needed to improve future analyses and decision-making.
- Team Contribution: Share knowledge, contribute to the team's analytical road map, and help improve our overall processes and best practices.
What We Can Offer You:
- Direct Strategic Impact: Your analysis and recommendations will directly inform critical investment and strategic decisions, influencing our ability to achieve our mission.
- Leadership Exposure: Work closely with senior leaders and key decision-makers, honing your communication and influencing skills.
- Collaborative Environment: Be part of a supportive and highly skilled data & analytics group, learning from peers and contributing to a culture of analytical excellence.
We’re looking for an experienced data professional (3+ years of experience as a e.g. Data Scientist, Data Analyst, Quantitative Analyst, Product Data Scientist) with a proven ability to translate complex business or operational challenges into impactful data-driven solutions and strategic recommendations. You thrive on diving deep into data, excel at communicating insights clearly, and are motivated by seeing your analytical insights, developed…
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