At a Glance
- Tasks: Develop algorithms and explore data to enhance customer experiences at Zempler Bank.
- Company: Join Zempler Bank, a top-rated employer transforming banking for the underserved.
- Benefits: Enjoy competitive salary, flexible benefits, 26-33 days holiday, and family-friendly policies.
- Other info: Hybrid working model with opportunities for continuous learning and career growth.
- Why this job: Make a real-world impact by solving meaningful problems with data-driven solutions.
- Qualifications: Strong SQL skills and a passion for data science and problem-solving.
The predicted salary is between 50000 - 60000 £ per year.
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.
- 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).
Benefits
- 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 journey. 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.
Data Scientist employer: Zempler Bank
Zempler Bank is an exceptional employer that prioritises employee well-being and professional growth, offering a flexible hybrid work model that fosters a healthy work-life balance. With a compelling benefits package, including 26 holidays and additional allowances, employees are empowered to thrive both personally and professionally. The collaborative work culture encourages innovation and supports the development of high-performing teams, making it an ideal place for those looking to make a meaningful impact in the banking sector.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Network like a pro! Reach out to current employees at Zempler Bank on LinkedIn. Ask them about their experiences and any tips they might have for your application. It’s all about making connections that can help us stand out!
✨Tip Number 2
Prepare for the interview by brushing up on your data science skills. Be ready to discuss algorithms, SQL, and your experience with tools like Airflow and Git. We want to see how you can apply your knowledge to real-world problems!
✨Tip Number 3
Show off your passion for ethical data use and continuous learning. Share examples of how you’ve tackled meaningful problems in the past. Zempler Bank values those who are driven to make a difference, so let that shine through!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining Zempler Bank and being part of our mission to make banking simpler for everyone.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Show Your Passion for Data:When writing your application, let us see your enthusiasm for data science! Share specific examples of how you've used data to solve problems or improve processes. We love candidates who can demonstrate their natural curiosity and drive to understand the 'why' behind the numbers.
Tailor Your Application:Make sure to customise your application to fit the role at Zempler Bank. Highlight your experience with the tools and techniques mentioned in the job description, like Python, SQL, and MLOps. This shows us that you’ve done your homework and are genuinely interested in joining our team.
Keep It Clear and Concise:We appreciate clarity in applications! Use straightforward language and avoid jargon where possible. Remember, we want to understand your skills and experiences without having to decipher complex terms. A well-structured application makes a great first impression!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it gives you a chance to explore more about Zempler Bank and what we stand for!
How to prepare for a job interview at Zempler Bank
✨Know Your Data Science Fundamentals
Brush up on your SQL and statistical concepts before the interview. Zempler Bank values a strong understanding of these areas, so be ready to discuss how you've applied them in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data problems in the past. Highlight your experience with algorithms and any innovative solutions you've developed, especially in commercial settings.
✨Communicate Clearly with Non-Technical Stakeholders
Practice explaining your data projects in simple terms. Zempler Bank wants someone who can bridge the gap between technical and non-technical teams, so demonstrate your ability to communicate effectively.
✨Emphasise Your Curiosity and Continuous Learning
Zempler Bank appreciates a natural curiosity for data. Be prepared to discuss how you stay updated with new techniques and tools, and share any personal projects or learning experiences that showcase your passion for data science.