At a Glance
- Tasks: Drive data-led growth and uncover market opportunities in a global software business.
- Company: Dynamic global software company based in London.
- Benefits: Competitive daily rate, collaborative culture, and impactful projects.
- Other info: Fast-paced environment with opportunities for professional growth.
- Why this job: Make a real impact on revenue growth with your data science skills.
- Qualifications: 5+ years in data science, advanced SQL, and Python proficiency.
The predicted salary is between 30000 - 40000 £ per year.
We are looking for a commercially minded Senior Data Scientist to drive data‑led growth across a global, subscription‑based business. This role focuses on identifying untapped market opportunities, improving customer targeting, and enabling data‑driven go‑to‑market strategies. You’ll work at the intersection of Data Science, Sales, Marketing, and Strategy, translating complex data into actionable insights that directly impact revenue growth.
Key Responsibilities- Market Opportunity & Revenue Modelling
- Develop models to quantify market opportunity (e.g. TAM/SAM) and identify whitespace across global segments
- Analyse customer and market data to uncover untapped revenue potential
- Deliver insights to support strategic planning and growth initiatives
- Customer & Growth Analytics
- Build and deploy propensity models to improve acquisition, upsell, and retention
- Develop customer segmentation frameworks to enhance targeting and campaign effectiveness
- Partner with commercial teams to optimise go‑to‑market strategies and sales performance
- Data Science & Modelling
- Design, develop, and iterate on predictive models that drive measurable business impact
- Apply statistical and machine learning techniques to large, complex datasets
- Ensure models are scalable, interpretable, and aligned with business needs
- Data Collaboration & Enablement
- Work closely with Data Engineering teams to productionise models and analytics workflows
- Leverage internal and external datasets to build rich customer intelligence
- Contribute to best practices in data quality, governance, and model monitoring
- Stakeholder Engagement
- Translate complex analyses into clear, actionable insights for senior stakeholders
- Present recommendations to influence commercial strategy, pricing, and product decisions
- Act as a trusted partner across technical and business teams
- Strong experience in data science or advanced analytics roles (typically 5+ years)
- Advanced SQL skills with experience working on large‑scale datasets (e.g. Databricks, Snowflake, BigQuery)
- Proficiency in Python for data analysis, modelling, and experimentation
- Experience building predictive models (e.g. propensity modelling, segmentation, forecasting)
- Demonstrated ability to deliver data‑driven solutions that impact revenue or growth
- Strong communication skills with the ability to influence non‑technical stakeholders
- Experience working cross‑functionally with Sales, Marketing, Product, or Strategy teams
- Experience in SaaS, subscription‑based, or platform businesses
- Exposure to pricing strategy, go‑to‑market planning, or commercial analytics
- Familiarity with market sizing methodologies
- Experience integrating third‑party datasets
- A commercially focused data scientist who prioritises business impact
- Someone comfortable working in ambiguous, fast‑paced environments
- A strong communicator who can bridge data, technology, and business strategy
- High‑impact role with direct influence on revenue growth and strategic decisions; opportunity to work on complex, global data challenges; collaborative environment across data, product, and commercial teams.
Senior Data Scientist (Growth / GTM / Analytics) in London employer: Salt Digital Recruitment
Join a dynamic global software business in London as a Senior Data Scientist, where you'll play a pivotal role in driving data-led growth and shaping strategic decisions. Our collaborative work culture fosters innovation and empowers you to tackle complex data challenges while providing ample opportunities for professional development and career advancement. With a focus on impactful insights and cross-functional teamwork, this position offers a unique chance to influence revenue growth in a fast-paced environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist (Growth / GTM / Analytics) in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even casual coffee chats. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio of your projects or analyses that demonstrate your data science skills. This will give potential employers a taste of what you can bring to the table.
✨Ace the Interview
Prepare for interviews by practising common data science questions and case studies. Be ready to explain your thought process and how you approach problem-solving. Remember, they want to see how you think, not just what you know!
✨Apply Through Us!
Make sure to apply through our website for the best chance at landing that Senior Data Scientist role. We’re all about connecting talent with opportunity, and we’d love to help you find your next big gig!
We think you need these skills to ace Senior Data Scientist (Growth / GTM / Analytics) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Senior Data Scientist. Highlight your experience with data science, analytics, and any relevant projects that showcase your ability to drive growth and influence strategy.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've used data to impact revenue or growth in previous positions, and don’t forget to mention your experience with cross-functional teams!
Showcase Your Technical Skills:We want to see your advanced SQL and Python skills shine through! Include any relevant projects or experiences where you’ve built predictive models or worked with large datasets, as these are key to the role.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensure you’re considered for this exciting opportunity.
How to prepare for a job interview at Salt Digital Recruitment
✨Know Your Data Science Stuff
Make sure you brush up on your data science skills, especially in SQL and Python. Be ready to discuss your experience with predictive models and how you've used them to drive revenue growth. Prepare examples that showcase your ability to translate complex data into actionable insights.
✨Understand the Business Context
Familiarise yourself with the company's market and their go-to-market strategies. Think about how your data-driven insights can impact their revenue growth. Being able to speak the language of sales and marketing will help you connect with your interviewers.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems or analyse case studies related to market opportunities. Practice articulating your thought process clearly, as this will demonstrate your analytical skills and how you approach real-world challenges.
✨Show Off Your Communication Skills
Since you'll be working with non-technical stakeholders, it's crucial to convey your ideas effectively. Prepare to explain your past projects in a way that's easy to understand, highlighting how your work has influenced business decisions and strategy.
