At a Glance
- Tasks: Lead data-driven strategies to personalise financial services for customers using machine learning.
- Company: Join the dynamic team at Very, a leading digital retailer focused on family empowerment.
- Benefits: Enjoy flexible working, 30 days holiday, and a £6500 benefits allowance.
- Other info: Inclusive culture with excellent career growth opportunities and a commitment to diversity.
- Why this job: Make a real impact by optimising customer experiences and leading a talented analytics team.
- Qualifications: Strong experience in SQL, Python, and machine learning with a knack for storytelling through data.
The predicted salary is between 60000 - 80000 £ 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%
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 Lead – Personalisation & Growth employer: The Very Group
At Very, we are dedicated to fostering a vibrant and inclusive work culture that empowers our employees to thrive both personally and professionally. With a flexible hybrid working model, generous benefits including a £6500 flexible allowance, and a commitment to continuous learning through platforms like Udemy, we ensure that our team members have the resources they need to succeed. Join us in making a meaningful impact for millions of customers while enjoying a supportive environment that values collaboration and innovation.
