Senior Data Science Manager - FS in Liverpool

Senior Data Science Manager - FS in Liverpool

Liverpool Full-Time 70000 - 90000 £ / year (est.) Home office (partial)
Very Group

At a Glance

  • Tasks: Lead data-driven strategies to personalise financial services offers and optimise customer journeys.
  • Company: Join a forward-thinking financial services team focused on innovation and collaboration.
  • Benefits: Enjoy flexible working, generous holiday, learning opportunities, and a competitive benefits package.
  • Other info: Inclusive culture with a commitment to diversity and career growth opportunities.
  • Why this job: Make a real impact by shaping how customers connect with financial products using cutting-edge data science.
  • Qualifications: Strong experience in SQL, Python, and machine learning; proven leadership in analytics teams.

The predicted salary is between 70000 - 90000 £ per year.

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

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

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. We’re proud to be a Disability Confident Committed Employer and have nine brilliant colleague networks – including DAWN and Think – that are helping us make Very an even more inclusive place to work.

Senior Data Science Manager - FS in Liverpool employer: Very Group

As a Senior Data Science Manager at our company, you'll be part of a dynamic and inclusive culture that prioritises employee growth and innovation. With a flexible hybrid working model, generous benefits including a £6500 flexible allowance, and a commitment to diversity and inclusion, we empower our team to thrive while making impactful decisions in the financial services sector. Join us to lead a talented analytics team and shape the future of customer engagement through data-driven strategies.

Very Group

Contact Details:

Very Group Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Science Manager - FS in Liverpool

Tip Number 1

Network like a pro! Reach out to people in the industry, especially those already working at companies you're interested in. A friendly chat can open doors and give you insider info that could help you stand out.

Tip Number 2

Show off your skills! Create a portfolio or GitHub repository showcasing your data science projects. This is a great way to demonstrate your expertise in SQL, Python, and machine learning to potential employers.

Tip Number 3

Prepare for interviews by brushing up on your knowledge of experimentation frameworks and statistics. Be ready to discuss how you've used these in past roles, as this will show you're the right fit for a Senior Data Science Manager position.

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 our team.

We think you need these skills to ace Senior Data Science Manager - FS in Liverpool

SQL
Python
Machine Learning
A/B Testing
Multivariate Testing
Segmentation Models
Targeting Models

Some tips for your application 🫡

Tailor Your CV:Make sure your CV speaks directly to the role of Senior Data Science Manager - FS. Highlight your experience with SQL, Python, and any relevant machine learning projects. We want to see how your skills align with our needs!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about personalising financial services and how your past experiences have prepared you for this high-impact role. Keep it engaging and relevant!

Showcase Your Team Leadership Skills:Since you'll be leading an analytics team, make sure to mention your experience in developing and managing teams. Share specific examples of how you've introduced best practices and fostered collaboration in previous roles.

Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!

How to prepare for a job interview at Very Group

Know Your Data Tools Inside Out

Make sure you’re well-versed in SQL, Python, and any other analytics tools mentioned in the job description. Be ready to discuss specific projects where you've used these tools to drive insights or optimise processes.

Master the Art of Experimentation

Brush up on your understanding of A/B testing and multivariate testing frameworks. Prepare to share examples of how you've applied these methods to unlock insights and improve customer experiences.

Communicate Like a Pro

Since you'll be working with non-technical audiences, practice explaining complex data concepts in simple terms. Think about how you can tell compelling stories with data that resonate with stakeholders.

Showcase Your Leadership Skills

Be ready to discuss your experience in leading and developing analytics teams. Highlight any best practices you've introduced and how you've fostered collaboration between teams, especially with Product and Commercial departments.