At Zempler Bank, data underpins how we lend responsibly, manage risk, protect customers and design products that genuinely meet the needs of UK SMEs. As our Head of Data Science, you’ll play a pivotal role in shaping how data science and advanced analytics are embedded across the bank.
This is a senior leadership role with real influence across risk, technology and commercial decision‑making. You’ll set the vision for data science at Zempler, building capabilities that make a tangible difference from credit decisioning and fraud prevention through to improving the end‑to‑end customer experience.
If you enjoy translating complex modelling into practical, well‑governed solutions within a regulated environment, and want to build something meaningful rather than incremental, this is a role where you can genuinely leave your mark.
We’re proud to offer one of the most flexible hybrid working models in the industry.
For this role, we ask for a minimum of one day per week in our London Bridge office, with flexibility around the rest of your working week.
Why join Zempler Bank?
Zempler Bank is a specialist UK bank with big ambitions and a strong sense of responsibility. We’re committed to doing the right thing for our customers, our colleagues and the wider financial system.
We value diverse perspectives, inclusive leadership and thoughtful innovation. You’ll be trusted to shape a core function, influence senior decision‑making and work alongside experienced leaders who care about outcomes, not egos.
What you’ll be doing
Strategic & technical leadership
- Set and deliver the bank’s Data Science vision and roadmap, linking advanced analytics directly to commercial and risk outcomes.
- Build and lead a high‑performing data science function with strong engineering discipline and clear standards.
- Act as a senior authority on AI and Generative AI, enabling responsible, secure and practical use across the bank.
- Champion transparency, explainability and ethical modelling in everything we deploy.
- Provide senior, hands‑on leadership across statistical and machine‑learning model development.
- Ensure strong feature engineering, validation, testing, explainability and reproducibility.
- Oversee scalable pipelines and reusable components, partnering with Engineering to embed models into production using modern CI/CD practices.
- Apply the Model Risk Management Framework proportionately and effectively.
- Represent Data Science at risk and governance forums, supporting robust challenge and approval.
- Ensure models meet PRA and FCA expectations for documentation, auditability and explainability.
- Oversee model monitoring, drift detection and remediation, with enhanced controls where risk is higher.
- Work closely with wider data teams to ensure models are built on high‑quality, well‑governed data.
- Promote reusable datasets and clear documentation to support scalable analytics.
- Advocate for improvements in data quality, definitions and controls.
Stakeholder engagement & people leadership
- Build trusted relationships across Product, Risk, Compliance, Technology, Operations, Credit and Financial Crime.
- Lead, mentor and develop senior data scientists, supporting both technical depth and leadership growth.
- Foster an inclusive, collaborative and high‑performance culture.
What we’re looking for
- Experience applying data science in a financial services or highly regulated environment.
- Proven leadership of data science teams and ownership of data science strategy.
- Strong technical capability in Python, SQL and machine‑learning development.
- Experience deploying batch and/or real‑time models using modern engineering practices (CI/CD, versioning, automated testing).
- A solid understanding of UK model‑risk regulatory expectations and proportionate governance.
- Confident communicator, able to explain complex ideas clearly to non‑technical stakeholders.
- Experience in UK retail or SME banking.
- Familiarity with event‑driven or real‑time platforms (e.g. Kafka, Flink).
- Experience with tools such as Docker, Airflow, YARN, MLflow or BentoML.
- Background in credit, fraud, financial crime or operational analytics.
- Experience managing or overseeing third‑party data or modelling vendors.
- Competitive basic salary
- Additional benefit allowance representing 7.5% of your annual salary allowing you the flexibility to decide your own benefits (or simply absorb this into your monthly income).
- 26 days’ holiday increasing each year of service to 33 days
- Ability to buy and sell a further 5 days holiday each year
- 4 x Life Assurance
- Pension salary sacrifice
- Option for LinkedIn Learning license
- Family friendly policies
- Regular social activities and team events
- Charity Volunteering Day
Our commitment to inclusion
We want to hear from people with different backgrounds, experiences and ways of thinking. If you’re excited by this role but don’t meet every requirement, we’d still encourage you to apply. We’ll support you to do your best work and thrive at Zempler Bank.
#J-18808-Ljbffr