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- Tasks: Lead data science projects, enhancing algorithms and delivering insights for customer experiences.
- Company: Join a mission-driven company focused on simplifying financial decision-making for everyone.
- Benefits: Enjoy hybrid working, generous holidays, private healthcare, and personal development opportunities.
- Why this job: Be part of a creative, inclusive culture that values your unique skills and ideas.
- Qualifications: Experience in machine learning, Python, SQL, and strong data storytelling skills required.
- Other info: Collaborate with diverse teams and mentor junior members while driving impactful data initiatives.
The predicted salary is between 43200 - 72000 £ per year.
Senior Data ScientistJoin Compare the Market as a Senior Data Scientist and help make financial decision making a breeze for millions.
Function: Data Location: Hybrid, London office
At Compare the Market, we\’re a purpose-driven business powered by tech and AI. We build high-performing, results-driven teams with the skills, mindset, and ambition to deliver outcomes at pace. Every role here drives our mission forward, and we create an environment where you can bring your authentic self, grow your career, and see the direct impact of your work on our customers.
We\’re looking for ambitious, curious thinkers who thrive in a fast-moving, high-impact environment. If you love accountability, embrace challenge, and want to make a real difference, you\’ll fit right in.
Job Responsibilities
Build strong cross-team relationships and work collaboratively to identify, scope and plan Data Science initiatives
Manage the delivery of large initiatives from ideation to production, ensuring business goals are met
Act as a technical subject matter expert for the application of Data Science within CTM
Provide support and mentoring to more junior members of the team (including line and workload management)
Work with the Data Science Manager to identify new and innovative ways to improve the quality and impact of Data Science within CTM
Proactively share knowledge and ideas across the wider team, contributing to a collaborative and dynamic culture
Develop and champion a data-driven culture
Ensure findings/recommendations have maximum impact through clear communication and effective data storytelling
Work with the wider Data team to leverage the team\’s full range of capabilities to maximum effect
Innovate and drive improvements to Compare the Market data by contributing new ideas toward improving current solutions, processes and unsolved business problems, feeding into our data strategy agenda and roadmap
Qualifications & Experience
Proven track record of delivering commercial outcomes from the application of machine learning and advanced analytics
Experience of working end-to-end and putting models into production
Proficiency in Python coding and a wide experience of applying a range of machine learning techniques
A deep knowledge of statistical techniques
Experience using SQL to analyze and extract data
Great storyteller with strong data visualization skills
Experience working with and knowledge of modern data architectures, infrastructure, and tools
Great stakeholder management skills
Highly collaborative working style
Experience mentoring junior members
Why Compare the Market?We\’re a business built for pace and performance. Here, you\’ll be encouraged to think differently, act boldly, and deliver brilliantly in a culture that values results and rewards progress.
We believe diverse teams make better decisions, and we\’re committed to creating an inclusive workplace where everyone feels empowered to grow, contribute, and thrive.
If you\’re ready to stretch yourself, raise the bar, and grow with a team that\’s serious about performance, innovation, and purpose, we\’d love to hear from you.
Seniority LevelMid‐Senior level
Employment TypeFull‐time
Job FunctionEngineering and Information Technology
IndustriesSoftware Development
Referrals increase your chances of interviewing at Compare the Market by 2x
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Senior Data Scientist employer: Compare the Market
Contact Detail:
Compare the Market Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Familiarise yourself with the latest trends in data science and AI, especially those relevant to financial decision-making. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with current or former employees of StudySmarter on platforms like LinkedIn. They can provide insights into the company culture and the specific skills that are valued, which can give you an edge in your application.
✨Tip Number 3
Prepare to discuss your past projects in detail, particularly those that involved machine learning and data visualisation. Be ready to explain your thought process, the challenges you faced, and how you overcame them, as this demonstrates your problem-solving abilities.
✨Tip Number 4
Showcase your collaborative skills by highlighting experiences where you've worked cross-functionally. Since the role involves working with various teams, demonstrating your ability to build strong relationships will be crucial.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, machine learning, and any specific tools mentioned in the job description, such as Python and SQL. Use keywords from the job listing to ensure your application stands out.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data science and how it aligns with the company's mission. Mention specific projects or achievements that demonstrate your ability to deliver commercial outcomes using machine learning.
Showcase Your Technical Skills: Provide examples of your proficiency in Python and your experience with machine learning techniques. If possible, include links to projects or portfolios that showcase your work and problem-solving abilities.
Highlight Collaboration Experience: Since the role is highly collaborative, emphasise your experience working in cross-functional teams. Share examples of how you've successfully managed projects from ideation to production while working with various stakeholders.
How to prepare for a job interview at Compare the Market
✨Showcase Your Technical Expertise
As a Senior Data Scientist, it's crucial to demonstrate your proficiency in Python and machine learning techniques. Be prepared to discuss specific projects where you've successfully implemented models and the impact they had on business outcomes.
✨Emphasise Collaboration Skills
This role requires strong collaboration with various teams. Share examples of how you've built cross-team relationships in the past and how you plan to work with others to identify and scope Data Science initiatives.
✨Prepare for Data Storytelling
Effective communication is key. Practice explaining complex data findings in a clear and engaging manner. Use visualisation techniques to illustrate your points and ensure your recommendations are impactful.
✨Demonstrate a Growth Mindset
The company values creativity and continuous improvement. Be ready to discuss how you've contributed to a data-driven culture in previous roles and share ideas on how you can drive improvements within their data strategy.
