Data Scientist

At Zempler Bank, data plays a vital role in how we make better, fairer decisions for our customers and colleagues. As a Data Scientist, you’ll help shape how we use data to protect customers, widen access to credit and create thoughtful, seamless customer experiences all while supporting Zempler Bank’s ambition to grow responsibly and sustainably.

This is a role for someone who enjoys solving meaningful problems, working collaboratively across the business and seeing their ideas make a real‑world difference for both customers and communities.

You’ll work on problems that matter, helping protect customers and improve financial outcomes

Your work will be used, not shelved you’ll see your ideas make a difference

We value inclusive thinking, ethical data use and continuous learning

You’ll be supported to grow your skills, explore new techniques and shape your career path

We’re committed to creating a workplace where everyone feels welcome, respected and able to thrive

We are very proud to offer one of the most flexible hybrid working arrangements in the industry!

The expectation for this role, will involve a minimum of one day each week - working out of our London Bridge office

Developing algorithms in Python using both linear and non-linear techniques

Monitor ongoing performance of algorithms and retrain / redevelop where necessary

Exploration of new data sources to test whether they can be of value to Zempler Bank

Implement models into production using tools such as Airflow, PyFlink, BentoML, Git, Jenkins and Octopus

Participate in business projects

Manage the relationship with the model stakeholder

Assist in requirements gathering and project scope definition.

Coordination – checking in with stakeholders during the Model Development .

Communicate results of model developments effectively to non-technical audience

Good understanding of SQL

Strong understanding of the mathematical and statistical concepts which underpin Data Science

Natural curiosity to develop new trains of thought and create new data signals. Driven to understand why things happen

Ability to work independently and as part of a team

Working knowledge of interpretability packages such as SHAP

Experience in developing and applying algorithms within a commercial environment

Prior experience working with highly imbalanced datasets for binary classification problems

Event streaming data engineering tools such as Flink or Spark

Experience with MLOps and tools such as Airflow, BentoML and MLFlow

Use of Docker

CI/CD and SDLC (e.g. JIRA, Git, Jenkins, Octopus)

Permanent

Data Scientist

We’re on a journey to make money simpler for the start‑ups and small businesses that power the UK economy. We’re all about smart technology, customer service with a human touch, and bank accounts that meet real life needs.

That’s only possible thanks to an incredible team who are all in to make Zempler the best bank for Britain’s small but mighty businesses.

There are more than 300 of us, representing over 20 nationalities – a diverse mix of ideas and skills, collaborating to build great things. (And, of course, have some fun along the way.)

We’re committed to creating a culture where everyone feels valued for the work they’re doing. In 2023, we were inducted in the 'Best Companies' survey top 100 large businesses & Top 25 Financial Services businesses to work for in the UK.

Zempler are the only bank with a top five place in all three categories ranked in 2024 by CMA (Competition and Markets Authority) for business SME banking:

1) 5th in Overall service quality

2) 4th in Online and mobile banking services

3) 2nd in SME overdraft and loan services

We’re all in
- For our…