Senior Data Science Lead – Personalisation & Growth in Liverpool

Senior Data Science Lead – Personalisation & Growth in Liverpool

Liverpool Full-Time 65000 - 80000 £ / year (est.) No working from home possible
The Very Group

At a Glance

  • Tasks: Lead data-driven strategies to personalise financial services for customers using machine learning.
  • Company: Join the innovative team at Very, dedicated to helping families thrive.
  • Benefits: Enjoy flexible working, a £6500 benefits allowance, and 30 days holiday.
  • Other info: Inclusive culture with opportunities for continuous learning and development.
  • Why this job: Make a real impact on customer experiences while growing your career in data science.
  • Qualifications: Strong experience with SQL, Python, and leading analytics teams.

The predicted salary is between 65000 - 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 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. With a generous benefits package including a £6500 flexible allowance, 30 days holiday, and access to continuous learning through Udemy, we empower our team to thrive while making a meaningful impact on millions of customers. Join us in shaping the future of financial services and enjoy the freedom to innovate and excel in your career.

The Very Group

Contact Details:

The Very Group Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Science Lead – Personalisation & Growth 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 and express your interest in the Senior Data Science Lead role. You never know who might help you get your foot in the door!

Tip Number 2

Prepare for those interviews like a pro! Research the company’s values and recent projects, especially around personalisation and growth. Be ready to discuss how your skills in SQL, Python, and machine learning can make a real impact at Very.

Tip Number 3

Show off your data storytelling skills! During interviews, use examples from your past work to illustrate how you've used data to drive decisions. Make it relatable and easy to understand, especially for non-technical folks.

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. Let’s make it happen!

We think you need these skills to ace Senior Data Science Lead – Personalisation & Growth in Liverpool

SQL
Python
Machine Learning
A/B Testing
Multivariate Testing
Segmentation Models
Business Intelligence Tools

Some tips for your application 🫡

Show Your Passion:When writing your application, let your enthusiasm for data science and personalisation shine through! We want to see how your passion aligns with our mission at Very, so don’t hold back on sharing what excites you about this role.

Tailor Your CV:Make sure your CV is tailored to highlight your experience with SQL, Python, and machine learning. We’re looking for specific examples of how you’ve used these skills to drive results, so be sure to include relevant projects or achievements!

Keep It Clear and Concise:We appreciate clarity! When writing your application, keep your language straightforward and avoid jargon where possible. Remember, we want to understand your ideas easily, especially if they’re complex.

Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our culture and values.

How to prepare for a job interview at The Very Group

Know Your Data Tools

Make sure you're well-versed in SQL, Python, and any other analytics tools mentioned in the job description. Brush up on your skills and be ready to discuss how you've used these tools in past projects, especially in relation to personalisation and growth.

Master Experimentation Frameworks

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 applied these methods to drive insights and optimise customer experiences.

Communicate Clearly

You’ll need to convey complex data concepts to non-technical audiences. Practice simplifying your explanations and think of ways to illustrate your points with relatable examples or visuals. This will show that you can bridge the gap between data and business needs.

Show Your Leadership Skills

As a Senior Data Science Lead, you'll be expected to lead and develop a high-performing analytics team. Prepare to discuss your leadership style, how you've mentored others, and any best practices you've implemented to foster collaboration and growth within your team.