Data Scientist

Zempler Bank; Greater London; Hybrid; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Life Assurance

Pension salary sacrifice

LinkedIn Learning license

26 days holiday (33 with service)

Charity volunteering day

Regular social activities

Family friendly policies

Additional benefit allowance 7.5%

Job summary

Zempler Bank is seeking a Data Scientist to shape how data is used to improve customer outcomes, extend credit access, and create seamless experiences. You will work across the business to translate data insights into real-world decisions that support responsible growth.

The role emphasizes solving meaningful problems, collaboration, and continuous learning while maintaining ethical data use and customer focus. A hybrid London-based arrangement supports a flexible work pattern.

Qualifications

• Strong SQL and statistical foundations for data science in production.
• Ability to build and interpret models for real-world impact.
• Experience deploying models with MLOps practices.
• Familiarity with data streaming systems and orchestration tools.

Responsibilities

• Developing algorithms in Python using linear and non-linear techniques.
• Monitor and retrain production models as needed.
• Explore new data sources to add value to Zempler Bank.
• Deploy models into production using Airflow, PyFlink, BentoML, Git, Jenkins, Octopus.
• Collaborate on business projects and manage stakeholder relationships.

Skills

SQL

Statistics

Interpretability (SHAP)

Python

MLOps

Airflow

Docker

CI/CD

Tools

Flink

Spark

MLFlow

Git/Jenkins/Octopus

Job description

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

Hybrid Working

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

Key Responsibilities

Data Interpretations:

• 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

Qualification, Skills and Experience

• 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)
• 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

Zempler Bank is an equal opportunity employer. Individuals seeking employment are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law