At a Glance
- Tasks: Drive data-led growth and uncover market opportunities in a global software business.
- Company: Join a leading global software company with a focus on innovation.
- Benefits: Competitive daily rate, collaborative culture, and impactful projects.
- Other info: Dynamic role with opportunities to tackle complex global data challenges.
- Why this job: Make a real impact on revenue growth and strategic decisions.
- Qualifications: 5+ years in data science, strong SQL and Python skills required.
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
Skills & Experience
- 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
Nice to Have
- 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
What We're Looking For
- 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
Why Join
- 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: Xpand Group
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. Our collaborative work culture fosters innovation and empowers you to tackle complex data challenges while directly influencing revenue outcomes. With a focus on employee development and a commitment to excellence, we offer a dynamic environment that values your contributions and supports your professional growth.
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 chatting with potential employers.
✨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’ve used data to drive growth in past roles. Confidence is key!
✨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 want to see your application!
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 uncover market opportunities or improve customer targeting in previous positions.
Showcase Your Technical Skills:Don’t forget to mention your advanced SQL and Python skills! We want to see how you’ve applied these in real-world scenarios, especially in building predictive models or working with large datasets.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Xpand Group
✨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 Impact
Since this role is all about driving data-led growth, it’s crucial to demonstrate your understanding of how data science impacts business decisions. Think about how your previous work has influenced commercial strategies or improved customer targeting, and be ready to share those stories.
✨Prepare for Cross-Functional Collaboration
This position requires working closely with Sales, Marketing, and Strategy teams. Be prepared to discuss how you've successfully collaborated with different departments in the past. Highlight any experiences where you’ve acted as a bridge between technical and non-technical stakeholders.
✨Showcase Your Communication Skills
Strong communication is key for this role. Practice explaining complex analyses in simple terms, as you’ll need to present your findings to senior stakeholders. Consider preparing a mini-presentation on a past project to demonstrate your ability to influence decisions through clear insights.
