At a Glance
- Tasks: Lead data-driven strategies to personalise financial services offers and optimise customer journeys.
- Company: Join the dynamic team at Very, a leading digital retailer focused on making life better for families.
- Benefits: Enjoy flexible working, 30 days holiday, learning opportunities, and a £6500 benefits allowance.
- Other info: Inclusive culture with a focus on diversity and career growth opportunities.
- Why this job: Make a real impact by shaping financial services that connect customers with what they need.
- Qualifications: Strong experience in SQL, Python, and machine learning; proven leadership in analytics teams.
The predicted salary is between 70000 - 90000 £ per year.
About us
We’re the team behind digital retailer Very. Our purpose, helping families get more out of life, powers everything we do. And we want our people to get more out of life too! If you’re high-performing, ambitious and make the most of every opportunity, we want to hear from you. In return, you’ll enjoy heaps of flexibility, great perks and benefits, and the freedom to be yourself, keep learning and take your career wherever you want it to go. If you love making a difference, you’ll love making it sparkle for millions of Very customers.
About the Role
We’re looking for a Senior Data Science Manager - FS to help shape how we connect customers with the right financial services products at the right time. This is a high-impact role at the heart of our Financial Services team. You’ll lead how we optimise offers across Very Pay and third-party FS products, using data, experimentation and machine learning to drive smarter decisions across the customer journey. From powering personalisation in Sigma IQ to leading advanced testing and modelling strategies, you’ll balance short and long-term value while keeping everything aligned with regulatory expectations. You’ll also lead and grow a talented analytics team, building capability that keeps us ahead as our tools, tech and ambitions evolve.
What you will be doing
- Shaping and delivering strategies to personalise FS offers across the retail journey using our proprietary online offers engine Sigma IQ
- Leading A/B and multivariate testing to unlock insights and drive continuous optimisation
- Designing and implementing customer-level optimisation models using machine learning to create customer segmentations or individual offer targeting
- Partnering with Product and Commercial teams to prioritise high-value opportunities and capability development
- Acting as the go-to data expert, ensuring product performance can be measured clearly and effectively
- Building and managing dashboards and MI, bringing data to life for senior stakeholders
- Supporting campaign delivery through customer selections, controls and performance tracking
- Working with Partnerships and Marketing teams to measure ROI and improve cross-sell effectiveness
- Recruiting, developing and leading a high-performing analytics team
About You
- Strong experience with SQL, Python or similar analytics tools
- Deep understanding of experimentation frameworks and the statistics behind them
- Proven experience building segmentation and targeting models using machine learning
- Confidence using BI tools like Power BI to tell compelling data stories
- A track record of leading and developing analytics teams, introducing best practice along the way
- Able to communicate complex ideas simply and clearly to non-technical audiences
- Naturally collaborative, with experience working closely with Product and Commercial teams
Some of our benefits
- Flexible, hybrid working model
- Inclusive culture and environment
- £6500 flexible benefits allowance to suit your needs
- 30 days holiday + bank holidays
- Udemy learning access
- Bonus potential (performance and business-related)
- Up to 25% discount on Very.co.uk
- Matched pension up to 6%
- More benefits can be found on our career site
How to apply
Please note that the talent acquisition team are managing this vacancy directly, and if successful in securing this role, you will be required to undertake a credit, CIFAS, Right to Work checks and if a specific requirement of your role a DBS (criminal records) check. Should your application progress we require you to let the team know if there is anything you need to disclose in relation to any of these checks prior to them being undertaken, including any unspent criminal convictions.
What happens next?
Our talent acquisition team will be in touch if you’re successful so keep an eye on your emails! We’ll arrange a short call to learn more about you, as well as answer any questions you have. If it feels like we’re a good match, we’ll share your CV with the hiring manager to review. Our interview process is tailored to each role and can be in-person or held remotely. You can expect a two-stage interview process for this position: 1st Stage - Initial Teams call with Hiring Team. 2nd Stage - A one-hour formal interview where you can expect both competency and technical questions. Please do let us know if you require any reasonable adjustments.
Diversity, inclusion and equal opportunities
We’re building a culture of everyday inclusion, and welcome applications from anyone who believes they can do the job. We don’t discriminate based on age, disability, gender reassignment, marriage or civil partnership, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. We want our recruitment process to be accessible to everyone. If you need reasonable adjustments to apply, interview, or perform a role, let us know via talentacquisition@theverygroup.com. We’ll be happy to support you. We’re proud to be a Disability Confident Committed Employer and have nine brilliant colleague networks - including DAWN (Disability Awareness at Very) and Think (Neurodiversity at Very) - that are helping us make Very an even more inclusive place to work.
Senior Data Science Manager - FS in Liverpool employer: The Very Group
At Very, we prioritise the well-being and growth of our employees, offering a flexible hybrid working model and a vibrant, inclusive culture that encourages personal and professional development. As a Senior Data Science Manager in our Financial Services team, you'll lead innovative projects that directly impact customer experiences while enjoying a generous benefits package, including a £6500 flexible benefits allowance and access to continuous learning through Udemy. Join us to make a meaningful difference for millions of customers while advancing your career in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Science Manager - FS in Liverpool
✨Tip Number 1
Get your networking game on! Connect with people in the industry, especially those at Very. LinkedIn is a great place to start – drop them a message, ask about their experiences, and show genuine interest in what they do.
✨Tip Number 2
Prepare for those interviews like a pro! Research the company, understand their values, and think about how your skills can help them achieve their goals. Practice common interview questions and be ready to showcase your data science expertise.
✨Tip Number 3
Show off your projects! If you’ve worked on any relevant data science projects, make sure to discuss them during your interviews. Bring along examples of your work or even a portfolio to demonstrate your skills in action.
✨Tip Number 4
Don’t forget to 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 Very team!
We think you need these skills to ace Senior Data Science Manager - FS in Liverpool
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for data science and financial services shine through. We want to see how your ambitions align with our mission at Very, so don’t hold back!
Tailor Your CV:Make sure your CV highlights relevant experience, especially with SQL, Python, and machine learning. We’re looking for specific examples of how you’ve led teams and optimised processes, so be clear and concise.
Be Clear and Simple:Remember, we love data but not everyone is a data expert! Use straightforward language to explain your achievements and skills. This will help us understand your impact without getting lost in jargon.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at The Very Group
✨Know Your Data Tools
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss how you've used these tools in past projects, especially in building segmentation and targeting models. This will show that you're not just familiar with the tools, but that you can apply them effectively.
✨Master the Art of Experimentation
Since this role involves A/B testing and multivariate testing, be prepared to explain your understanding of experimentation frameworks. Share specific examples of how you've unlocked insights through testing in previous roles, and be ready to discuss the statistics behind your methods.
✨Communicate Clearly
You’ll need to convey complex data concepts to non-technical audiences, so practice simplifying your explanations. Think about how you can tell a compelling data story using BI tools like Power BI. Prepare to showcase your ability to make data relatable and actionable for stakeholders.
✨Show Your Leadership Skills
As a Senior Data Science Manager, you'll be leading a team. Be ready to talk about your experience in developing and managing analytics teams. Highlight any best practices you've introduced and how you've fostered collaboration with Product and Commercial teams to drive high-value opportunities.
