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Who we are
Hello, we’re Zempler Bank, formerly Cashplus Bank. We’re here to make money simpler. We know that banking isn’t at the top of most people’s to do lists, that’s why making it less of a chore is at the top of ours. We don’t do banking the traditional way the wrong way. We do banking that works for the people that need it, when they need it. We’re for the crafters, the grafters, and the self starters
We are a “Top 100 Best Companies” employer & Top 25 Financial Services businesses to work for in the UK. Our mission statement, which underpins everything we do, is to provide the UK’s underserved businesses with easy to access and simple to use banking services that helps them succeed
The Role
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.
Why join us?
- 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
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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
Model Development:
- Participate in business projects
- Manage the relationship with the model stakeholder
- Assist in requirements gathering and project scope definition.
- Develop models accordingly.
- Coordination – checking in with stakeholders during the Model Development.
- Communicate results of model developments effectively to non-technical audience
Qualification, Skills and Experience
Essential:
- Strong Python skills for Data Science
- 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
Desirable:
- 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)


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In Return You’ll Enjoy
- 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
Right to work in the UK
At this time, Zempler Bank is unable to offer visa sponsorship for this role, so applicants will need to have the right to live and work in the UK already. We understand this may not suit everyone, and we really appreciate the interest from individuals around the world who are considering Zempler Bank as part of their career journer.
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.
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