Data Scientist
Data Scientist
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Job Description
DATA SCIENTIST
ABOUT US
Every day we push beyond expectations to help millions of people at a time when its 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 were exceptionally proud of!
Creative collaborative ambitious its hard work. But what makes it worth it Leaving work knowing weve made a difference to our customers users and to each other.
Put our distinct brands together with our dedicated colleagues and youve got a workplace with lots of personality. Were openminded 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 multimillionpound investments) and building a bestinclass GCPbased 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 cuttingedge 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 Googles latest GenAI models and realtime data access) were building exciting solutions to diverse challenges.
As a Data Scientist youll play a key role in achieving the businesss strategic goals. Collaborating with Product Commercial Marketing Technology Engineering and Analytics teams youll operationalize datadriven improvements. This involves applying advanced statistical techniques software development skills and experience with large datasets to build and deploy models. Youll contribute to our evolving MLOps platform and inhouse tooling shaping how we deliver models at scale. Strong communication skills are essential as youll partner with stakeholders explaining your models impact and ensuring datadriven decisions. Join us and help millions !
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 inhouse machine learning tools.
Building relationships with stakeholders across our business driving decisionmaking via clear and effective communication of complex analyses
Building your knowledge and learning new skills by attending workshops seminars and conferences or selflearning materials.
WHAT DO YOU NEED TO EXCEL IN THIS ROLE
Essential:
Educated to degree level preferably postgraduate (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 scikitlearn.
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. GPT4 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 WELL INVEST IN YOU
Were 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 16000 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. Were 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 youre likely to have a lot of questions. If youd like to know more before applying such as more on hybrid working salary our parental leave policy etc please just let us know and well be happy to help. You can contact the recruiter for this role Kim at
We believe that success isnt 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.
Employment Type
Full-Time
