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Data Scientist – Financial Services
Location: London
Working Model: Hybrid
Contract: £400-£500 per day inside IR35
We are looking for a Data Scientist with a few years of commercial experience to join a major financial services firm within their Data & Insights team in London.
The role will focus on building and developing data science models across a range of client, commercial and risk-focused use cases. You’ll work with large datasets, applying predictive modelling techniques to generate signals, prompts and insights that can be embedded into the wider business.
You’ll also work closely with development and engineering teams to ensure models can be effectively deployed and integrated into production environments.
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Key Responsibilities
- Develop and enhance churn models, recommendation models and affinity scoring models.
- Build predictive models using historical client activity and behavioural data.
- Develop needs-based models to support client and business decision-making.
- Build signals and prompts relating to risk and controls.
- Work with Snowflake and/or Databricks as part of the wider data environment.
- Partner closely with development and engineering teams to productionise models.
- Work with stakeholders across Wealth to identify new opportunities for applied data science.
- Monitor and improve model performance over time.
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Experience Required
- Strong commercial experience as a Data Scientist.
- Strong experience building predictive models in a production environment.
- Experience with churn, recommendation, affinity/propensity or similar modelling.
- Strong Python and SQL skills.
- Experience with Snowflake, Databricks or similar.
- Experience working closely with development or engineering teams to deploy and operationalise models.
- Strong stakeholder communication skills.
Desirable
- Financial services experience.
- Experience working with client or customer behavioural data.
- Experience working within a regulated environment or on risk and control-related use cases.
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