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The BDPN is seeking a data science lead in London to own data capabilities, shaping the roadmap for marketing and retention and delivering scalable, production-ready data solutions.
You will collaborate with engineering, marketing, sales and product to define KPIs, run experiments with new algorithms and surface insights that drive business impact.
Maintain data infrastructure (BigQuery, dbt, Fivetran) and foster a data-driven culture, advocating improvements to tools and data architecture.
Location: Monday - Thursday in our Chancery Lane office (London), Friday remote.
Since launching in May 2024 we’ve grown to $30 million in ARR.
We’re building an AI executive assistant that handles emails, scheduling and follow-up, freeing people in client-facing roles to focus on their customers. What We Value
We hire small numbers of exceptional people who want ownership and autonomy. You’ll be expected to work with urgency and intensity, but you’ll also gain responsibility quickly and see your work have a direct impact.
In short, you’ll own Fyxers data science capabilities — you’ll set the roadmap for high-impact business areas like marketing and retention, implement scalable solutions, and ensure stakeholders use data to make confident commercial decisions.
Build and refine predictive models on multi-channel customer and usage data to drive product and marketing decisions.
Collaborate with engineering, marketing, sales and product teams to define KPIs, experiment with new algorithms and surface actionable insights that drive impact.
Maintain data infrastructure (BigQuery, dbt, Fivetran) and ensure data quality for reporting and self‑service analytics.
Develop a culture of data-driven decision making and proactively suggest improvements to tools, processes and architecture.
You use first principles to really understand the problem and build solutions that have real business impact
You get frustrated just dealing with tickets and want to partner with businesses
Experience working at a fast paced early-stage tech company (<100 people).
Expert in SQL and comfortable with Python/R; experience building and deploying machine-learning models.
Strong ability to transform messy data into production-ready datasets and communicate technical findings to non-technical stakeholders.
You want to build and have impact from the ground up.
You want to have unreasonable ownership of your own world
You work hard, with intensity everyday & move incredibly quickly
You always challenge the systems you’re in to be better