À propos
Responsibilities
Operations & Finance - Order & Revenue forecasting: take ownership of existing forecasting capabilities to improve factory demand fulfilment efficiency.
Trading - Customer Lifetime Value: partner with trading team to identify key drivers, generate actionable insights through segmentation, predictive modelling and causal analysis, and make recommendations to better align with customer expectations.
Trading & CRM - Churn prediction: take ownership of existing churn models, assess performance, optimise or redevelop, segment across cohorts, and provide guidance to stakeholders on using insights to improve retention.
Ongoing model monitoring: collaborate with analytics engineering to develop a monitoring suite that reports on model health and quickly identifies and corrects aberrations.
Skills you’ll bring
2–4+ years in a data science role with a proven track record of deploying advanced statistical models in production environments using complex, real‑world data.
Advanced proficiency in Python and SQL, with extensive experience using core data science libraries such as pandas/polars and scikit‑learn.
Familiarity with cloud platforms (e.g. AWS) and orchestration tools (e.g. Airflow, Dagster) for operationalising data science products.
Strong communication skills, able to translate technical insights into clear business recommendations for audiences of varying technical backgrounds.
Skilled in data visualisation and storytelling (e.g. ThoughtSpot, Looker, Tableau).
Experience influencing cross‑functionally with Product, Proposition, Engineering, R&D, and Data teams.
Bachelor’s or master’s degree in a STEM field (highly desirable).
Subscription business experience (highly desirable).
Experience with Snowflake AI/ML and robust data pipelines for scalable production solutions (desirable).
Benefits
Competitive salary, reviewed annually.
Flexible core hours and hybrid role (2 days in London office).
25 days holiday (excluding bank holidays), increasing to a maximum of 27 days.
9/10 day working fortnight (over 20 additional days off in 2025).
Optional 5 days unpaid leave and one paid volunteer day each year.
Work from abroad for 2 weeks every 6 months.
Health insurance (paid by Tails.com).
Extended maternity, paternity, shared parental and adoption pay (6 months at 70% pay).
Flexible paid care leave for dependants and pets.
In‑house L&D team with year‑round courses.
50% discount on all Tails.com.
Discounted gym membership.
Commitment to diversity We’re proud to be an active equal‑opportunity employer. We want to give everyone a fair chance to join us. We conduct a structured recruitment process for all candidates and actively promote our roles to communities that are under‑represented.
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Compétences linguistiques
- English
Avis aux utilisateurs
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