Data Scientist

DATA SCIENTIST

ABOUT US

Every day, we push beyond expectations to help millions of people save money, at a time when it’s never mattered more. Through MoneySuperMarket, MoneySavingExpert, Quidco and our B2B partnerships we supply products to more than 24 million unique monthly visitors, helping UK households to save billions of pounds a year. Can you tell this is something we’re exceptionally proud of!

Creative, collaborative, ambitious – it’s hard work. But what makes it worth it? Leaving work knowing we’ve made a difference to our customers, users, and to each other.

Put our distinct brands together with our dedicated colleagues and you’ve got a workplace with lots of personality. We’re open-minded, diverse, and love our differences. Everyone plays a part, and comes together to work hard, go beyond, and make sure everyone feels they belong.

ABOUT THE ROLE

Our Data Science team leverages predictive modeling and advanced analytics to optimize both customer experience and commercial performance. Our current focus is on personalized customer journeys (driving lifetime value), sophisticated pricing optimization (supporting multi-million-pound investments), and building a best-in-class GCP-based MLOps platform. Looking ahead, our 2025 vision centers on accelerating AI across the business, through AI products and adoption of AI tools. We aim to further our personalization initiatives (like our Super Save Club) and maximize returns on our pricing investments. Join us and shape the future of data science at Moneysupermarket Group, with access to cutting-edge technologies, upskilling opportunities, and a direct impact on our technical direction

WHY OUR ROLE

We use rich event data to understand how our products, marketing campaigns, and commercial initiatives meet customer needs. Leveraging AI and a modern GCP architecture (including Google's latest GenAI models and real-time data access), we're building exciting solutions to diverse challenges.

As a Data Scientist, you'll play a key role in achieving the business’s strategic goals. Collaborating with Product, Commercial, Marketing, Technology, Engineering, and Analytics teams, you'll operationalize data-driven improvements. This involves applying advanced statistical techniques, software development skills, and experience with large datasets to build and deploy models. You'll contribute to our evolving MLOps platform and in-house tooling, shaping how we deliver models at scale. Strong communication skills are essential as you'll partner with stakeholders, explaining your models' impact and ensuring data-driven decisions. Join us and help millions save money!

WHAT YOU WILL BE DOING

Key Responsibilities:

• Delivery of key projects ensuring business goals are met.

• Develop and monitor models to ensure they effectively improve business performance.

• Identify process improvements and contribute to our in-house machine learning tools.

• Building relationships with stakeholders across our business, driving decision-making via clear and effective communication of complex analyses

• Building your knowledge and learning new skills by attending workshops, seminars and conferences or self-learning materials.

WHAT DO YOU NEED TO EXCEL IN THIS ROLE

Essential:

• Educated to degree level, preferably post-graduate (PhD), within a mathematical, statistical, computer science or other STEM discipline.

• Experience of delivering advanced analytical projects either in academic or a business context.

• Expertise in Python coding and familiarity with advanced statistical packages such as scikit-learn.

• Familiarity with Git, Github or Bitbucket.

• Experience using SQL to analyse and extract data.

• Strong data visualisation skills.

• Experience working with and knowledge of modern data architectures, infrastructure, and tools.

• Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner to senior stakeholders.

• Desire to understand, in detail, the customer experience of using Moneysupermarket Group services.

Desirable:

• Experience developing on Google Cloud Platform.

• Experience leveraging GenAI tools (e.g. GPT-4, Gemini) programmatically, or developing bespoke LLMs.

• Experience delivering analytical projects in a business context.

WHAT REWARDS ARE ON OFFER

• Up to 30 holidays + bank holidays

• Pension up to 6% employer contribution

• Bonus scheme

• Enhanced shared parental leave - 6 months paid for both parents

• Digital Doctor on demand

• Work from anywhere scheme – 2 weeks per year

• Financial coaching

• Mental health platform access

HOW WE’LL INVEST IN YOU

We’re invested in your development. Expect mentorship, training, and opportunities to expand your skill set, including access to your own individual LinkedIn Learning license with access to over 16,000 courses.

INTERVIEW PROCESS

1. 30mins call to run through your experience and the role, plus a short case study exercise (no need to prepare for this).

2. 90mins interview. The first 30 minutes will involve a presentation from the candidate about a recent project, followed by a technical coding exercise (Python), and some competency and behavioural questions.

At MONY Group, we believe in the strength of diversity and see inclusion as a strategic advantage. Our values guide us in creating a workplace where fairness and equity is a reality for all. We’re committed to minimising systemic bias and creating a level playing field for all candidates.

Contact us for reasonable accommodations in the application process, no need to disclose your disability or condition, just specify your needs. Unsure what to ask for? We can guide you through available accommodations.

We understand that job adverts only say so much and you’re likely to have a lot of questions. If you’d like to know more before applying such as more on hybrid working, salary, our parental leave policy etc, please just let us know, and we’ll be happy to help. You can contact the recruiter for this role, Kim at kim.richards@monygroup.com

We believe that success isn’t solely defined by ticking boxes on a skills checklist. We encourage your application, so we can discover your skills and experience that will help you succeed in this role.