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 environment, and impactful role.
- Other info: Work on complex global data challenges with cross-functional teams.
- 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.
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
Join a leading 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. Enjoy a collaborative work culture that values innovation and offers ample opportunities for professional development, all while tackling complex data challenges that directly impact revenue. With a focus on meaningful contributions and a supportive environment, this position is perfect for those looking to make a significant impact in their career.
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 prowess. This will help you stand out when you’re chatting with potential employers.
✨Ace the Interview
Prepare for those interviews by brushing up on common data science questions and case studies. Practice explaining your thought process clearly, especially how your work impacts business growth. Remember, they want to see how you think!
✨Apply Through Our Website
When you find a role that excites you, apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing passionate candidates who are eager to join our team.
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 highlights relevant experience in data science and analytics. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements in driving growth and delivering data-driven solutions.
Showcase Your Skills:When applying, emphasise your advanced SQL and Python skills. We’re looking for someone who can handle large datasets and build predictive models, so make sure to include specific examples of your work in these areas.
Communicate Clearly:Remember, you’ll need to translate complex data into actionable insights for stakeholders. Use your application to demonstrate your communication skills—clarity is key! We want to see how you can bridge the gap between data and business strategy.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Don’t miss out!
How to prepare for a job interview at Salt
✨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
Since this role is all about driving data-led growth, it’s crucial to understand the business model of a subscription-based company. Familiarise yourself with market opportunity modelling and customer segmentation frameworks. Think about how your previous work can apply to their specific challenges.
✨Prepare for Cross-Functional Collaboration
This position requires working closely with sales, marketing, and strategy teams. Be ready to share examples of how you've successfully collaborated across different functions. Highlight your communication skills and how you've influenced non-technical stakeholders in the past.
✨Showcase Your Problem-Solving Skills
Expect to face some scenario-based questions during the interview. Prepare to discuss how you would approach identifying untapped market opportunities or optimising go-to-market strategies. Use real-life examples to demonstrate your analytical thinking and problem-solving abilities.
