We are looking for a Lead Data Scientist to become our first dedicated data scientist and help take Obsero from insight to action. Our platform records thousands of AI answers every day across tools such as ChatGPT, Gemini, Perplexity, Claude and Google AI Overviews. We already show customers where they stand. Your job is to help us understand why one brand gets recommended over another, and turn that into recommendations and models that make the product more useful.
You will own the problem end to end, from building a trusted analytical approach through to getting models into the product. This is a hands on role for someone who wants to set the method from scratch, not inherit one, and see their work shape a live product rather than sit in reports.
You will report to our Chief Product Officer and work as a peer to the Lead Data Engineer and Lead Development Engineer. The Lead Data Engineer owns data capture, cleaning and storage. You will focus on analysis, modelling and productised recommendations. We are still early, so this role matters because you will help create the playbook, the process and the structure as well as the models themselves.
What you'll do- Develop the GEO playbook by identifying what genuinely drives LLMs to recommend one brand over another, separating real drivers from correlations.
- Use historic prompt data to build an evidence-based understanding of AI search visibility and recommendation behaviour.
- Build the recommendation engine with product and engineering, putting understandable, actionable recommendations into the platform.
- Help launch and then fine‑tune the recommendation engine in the product.
- Develop predictive models that estimate the likely impact of actions for individual customers and help prioritise what to do first.
- Build Obsero's own models rather than relying on third‑party tools.
- Measure and refine model performance by feeding results back into the engine as AI platforms evolve.
- Generate new insights by prototyping analytical approaches quickly and turning promising discoveries into customer‑facing features.
- Analyse data from tools such as ChatGPT and Gemini, as well as less explored areas such as parametric memory and training data.
- Create structure and process in an environment where the tools and tech exist, but many playbooks and ways of working are still being built.
- Support recommendations used in the product, consultancy work and content marketing, even though the role itself is not heavily client‑facing.
What you'll bring- Several years of hands‑on data science experience, with a track record of taking models from initial analysis into production.
- Strong Python and SQL, including building analysis and feature pipelines.
- Experience in statistical modelling, causal inference or experimentation, with sound judgement on correlation versus causation.
- Experience with recommendation systems, ranking algorithms or predictive modelling.
- Hands‑on experience with LLMs and natural language processing.
- The ability to explain technical findings clearly to marketers, consultants, founders and other non-technical colleagues.
- A product mindset and the independence to work with broad ownership and limited day-to-day direction.
- The confidence to build structure, not just operate within it.
- Desirable: understanding of SEO, and familiarity with GEO and AI search visibility.
About ObseroWe are a London-founded AI search intelligence startup helping brands understand and improve how they appear in AI-generated answers. Our platform tracks visibility, prominence, sentiment and citations across leading AI tools, and we combine that with GEO consultancy work. We have analysed more than 10 million AI answers in our first year and recently raised $1.2m in funding to build specialist AI agents trained on the GEO playbook from a year of client work.
- £80k to £100k plus equity
- Meaningful equity alongside your salary.
- UK‑based role with one day a week in our Central London office.
- The chance to be the first data scientist in the business and set how data is turned into insight.
- Direct product impact, with your findings shaping the platform and customer recommendations.
- The opportunity to work with a large proprietary dataset in a fast-moving category.
- First stage: a 30-minute introductory call with the Chief Product Officer.
- Second stage: a technical conversation with the Lead Development Engineer.
- Third stage: a presentation.
- Final stage: a meeting with the CEO.
Obsero is an equal opportunities employer and welcomes applications from everyone whatever their background. We are happy to make adjustments at any stage of the process if you let us know.
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