Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop and optimise advanced models to enhance user experience and drive growth.
- Company: Join Zilch, a fast-growing payment tech company on a mission to empower customers.
- Benefits: Enjoy competitive pay, private medical insurance, and flexible working options.
- Why this job: Make a real impact by using data science to improve products for millions of users.
- Qualifications: Experience in data science, proficiency in SQL and Python, and strong communication skills.
- Other info: Be part of a dynamic team with exciting projects and excellent career growth opportunities.
The predicted salary is between 60000 - 80000 £ per year.
Zilch is a payment tech company on a mission to create the most empowering way to pay for anything, anywhere. Combining the best of debit, credit and savings, we give our customers the option to earn instant cashback or spread the cost of pricier purchases, completely interest free and with no late fees. We started in 2018 with a small team and a big dream - to make credit accessible to all. Since then, we’ve achieved double unicorn status and taken on more than 5 million customers. There are some exciting projects coming up and we’ve got big growth plans.
About the role.
We are seeking a talented and experienced Senior Data Scientist to join our team, focusing on developing and optimising advanced models that support a wide range of business needs - from product personalisation initiatives to driving growth opportunities. You will work with diverse data sources to enhance user experience and improve operational efficiency across the business. This role involves close collaboration with cross-functional teams, including product managers, engineers, and other data scientists, to ensure that data-driven insights are effectively integrated into product strategies and broader business growth initiatives.
Day-to-day responsibilities:
- Work with large, complex datasets to solve a wide range of challenging problems using diverse analytical and statistical approaches.
- Apply technical expertise in quantitative analysis, experimentation, data mining, and data presentation to develop strategies for products serving millions of customers and thousands of merchants.
- Present complex data science findings and methodologies to senior stakeholders in a clear and concise way.
- Apply machine learning methods to solve product-related business problems and improve decision-making processes.
- Contribute to the team’s coding efforts, ensuring best practices in version control and model deployment.
- Use Python and core machine learning libraries to build, validate, and deploy models.
- Conduct A/B testing and experimental analyses to evaluate new features and product changes.
- Support continuous improvement of team methodologies, workflows, and tooling.
What we’re looking for:
- Several years of hands-on experience as a data scientist, with a focus on building and deploying models that enhance customer product experiences.
- Proficiency in SQL, Python, and core data science and machine learning libraries (e.g., NumPy, Pandas, Scikit-Learn).
- Experience communicating complex ideas to non-technical audiences and senior stakeholders.
- Strong understanding of machine learning methods, real-world application, and awareness of their limitations.
- Experience with version control systems (e.g., Git) and the ability to collaborate in multi-developer environments.
- Results-driven mindset with the ability to iterate quickly and improve models in production.
- Knowledge of AI safety considerations, including bias detection, privacy management, and handling of personally identifiable information (PII).
Bonus Skills:
- Experience using Amazon SageMaker for model development and deployment.
- Familiarity with software development best practices and CI/CD pipelines (e.g., GitHub Actions).
- Experience monitoring machine learning model performance.
- Knowledge of cloud-based model training, archiving, and serving solutions, including endpoint deployment.
- Experience using DBT for data modelling and Looker for BI reporting.
- Interest in staying up to date with evolving technologies and applying them to improve business outcomes.
Benefits:
- Compensation & Savings: Income Protection. Permanent employees enjoy access to our Share Options Scheme. 5% back on in-app purchases.
- £200 for WFH Setup.
- Private Medical Insurance including GP consultations (video, telephone or face-to-face), prescribed medication, in-patient, day-patient and out-patient care, mental health support, physiotherapy, and advanced cancer cover.
- Employee Assistance Programme including unlimited mental health sessions, 24/7 remote GP & physiotherapy, and a 24/7 helpline for emotional & practical support.
- Savings & discounts on everyday shopping. 1:1 personalised well-being consultations.
- Family Friendly Policies: Enhanced maternity pay, enhanced paternity pay, enhanced adoption pay, and enhanced shared parental leave.
- Learning & Development: Professional Qualifications, Professional Memberships, Learning Suite for e-courses, Internal Training Programmes, FCA & Regulatory training.
- Hybrid Working with a casual dress code and workplace socials.
Senior Data Scientist — Growth & Personalization ML employer: Zilch
Contact Detail:
Zilch Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist — Growth & Personalization ML
✨Tip Number 1
Network like a pro! Reach out to current employees at Zilch on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the Senior Data Scientist role. Personal connections can give you an edge!
✨Tip Number 2
Show off your skills! Prepare a portfolio of your data science projects, especially those involving machine learning and A/B testing. When you get the chance to chat with the team, share your insights and how you've tackled similar challenges in the past.
✨Tip Number 3
Be ready for technical interviews! Brush up on your SQL and Python skills, and practice explaining complex concepts in simple terms. Zilch values clear communication, so make sure you can convey your ideas effectively to non-technical folks.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the Zilch team. Don’t miss out on this opportunity!
We think you need these skills to ace Senior Data Scientist — Growth & Personalization ML
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience with machine learning, SQL, and Python, and don’t forget to showcase any relevant projects that demonstrate your skills in personalisation and growth.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about Zilch’s mission and how your background aligns with the role. Be sure to mention specific experiences that relate to the job description.
Showcase Your Communication Skills: Since you'll be presenting complex data findings to non-technical stakeholders, make sure to highlight your ability to communicate clearly. Include examples of how you've done this in past roles to show you can bridge the gap between data and decision-making.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Zilch
✨Know Your Data Science Stuff
Make sure you brush up on your data science skills, especially in Python and SQL. Be ready to discuss your experience with machine learning models and how you've applied them in real-world scenarios. Zilch will want to see that you can handle complex datasets and present your findings clearly.
✨Showcase Your Collaboration Skills
Since this role involves working closely with product managers and engineers, be prepared to share examples of how you've successfully collaborated in cross-functional teams. Highlight any projects where your insights led to significant business growth or improved user experiences.
✨Prepare for Technical Questions
Expect some technical questions during the interview. Brush up on A/B testing methodologies and be ready to explain your approach to model validation and deployment. Zilch will likely want to know how you ensure best practices in version control and coding.
✨Communicate Clearly
Practice explaining complex data science concepts in simple terms. You'll need to communicate effectively with non-technical stakeholders, so think about how you can break down your past projects and findings into digestible pieces. This will show that you can bridge the gap between data and business strategy.