Lead Data Scientist, GEO Playbook & Recommendations

Obsero; United Kingdom; A distancia; GBP 80.000 - 100.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Equity

Descripción de la vacante

Obsero, a UK AI search startup, seeks a lead Data Scientist to build the GEO playbook from data, develop the recommendation engine, and create predictive models that guide client actions. You’ll own the end-to-end process from clean data to product-ready models and impact-oriented insights.

You’ll play a pivotal role in shaping product direction, balancing analysis with delivery, and working closely with engineers and marketers in a small, fast-moving team.

Formación

• Several years of hands-on data science experience, with a track record of taking models from analysis into production.
• Strong in Python and SQL, and comfortable building the analysis and feature pipelines your models need.
• Experience in statistical modelling, causal inference or experimentation, and the judgement to tell correlation from cause in messy, real-world data.
• Experience with recommendation systems, ranking or predictive modelling.
• Hands-on with LLMs and NLP, and properly curious about how AI platforms decide what to recommend.
• The ability to explain complex findings clearly to marketers, consultants and founders, not only to other data scientists.
• Product-minded, with a focus on what will change a customer's results rather than what is interesting to build.
• Comfortable owning a problem end to end in a small team, and taking the initiative without being told to.

Responsabilidades

• The GEO playbook. Using our historic prompt data to build a deep understanding of what drives LLMs to recommend one brand over another, separating the factors in content, citations, sources and brand presence that genuinely move visibility from the ones that only look like they do, and turning it into a playbook our consultants and customers act on and that stays current as the AI platforms change
• The recommendation engine. Productising Obsero's GEO recommendation engine in the platform, moving customers from AI search insight to action and in turn growth, working with product and engineering so recommendations land in a form customers trust and use, and measuring whether they work so the results feed back into the engine
• Predictive models. Models that predict the likely impact of different actions for each customer, so we can prioritise the ones that will make the biggest difference and customers know what to do first
• New insight. Exploring new ways to transform and analyse the data to generate unique and valuable insight, prototyping quickly, sharing what you find and turning the best ideas into features

Conocimientos

Data science

Python

SQL

Statistical modelling

Causal inference

Experimentation

Recommendation systems

LLMs

NLP

Communication

Descripción del empleo

Obsero, a UK AI search startup, seeks a lead Data Scientist to build the GEO playbook from data, develop the recommendation engine, and create predictive models that guide client actions. You’ll own the end-to-end process from clean data to product-ready models and impact-oriented insights.

You’ll play a pivotal role in shaping product direction, balancing analysis with delivery, and working closely with engineers and marketers in a small, fast-moving team.