At a Glance
- Tasks: Drive data-led growth and uncover market opportunities in a global software business.
- Company: Join a leading global software company focused on innovation and collaboration.
- Benefits: Competitive daily rate, impactful role, and opportunity for professional growth.
- Other info: Collaborative environment tackling complex global data challenges.
- Why this job: Make a real impact on revenue growth with your data science skills.
- Qualifications: 5+ years in data science, strong SQL and Python skills required.
The predicted salary is between 30000 - 40000 £ per year.
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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 Growth Data Scientist – GTM & Analytics employer: Xpand Group
Join a dynamic global software business in London as a Senior Growth Data Scientist, where you'll play a pivotal role in driving data-led growth and influencing 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 employee growth and a commitment to inclusivity, this company stands out as an excellent employer for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Growth Data Scientist – GTM & Analytics
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even casual coffee chats. The more you engage, the better your chances of landing that Senior Growth Data Scientist role.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your data models and analytics projects. This will give potential employers a taste of what you can bring to the table.
✨Tailor Your Approach
When reaching out to companies, make sure to tailor your message. Highlight how your skills in SQL and Python can directly impact their growth strategies. Personalisation goes a long way!
✨Apply Through Our Website
We’ve got some fantastic opportunities waiting for you on our website. Don’t miss out—apply directly through us to increase your chances of getting noticed by hiring managers!
We think you need these skills to ace Senior Growth Data Scientist – GTM & Analytics
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Growth Data Scientist role. Highlight your experience in data science, especially any work related to market opportunity modelling and customer analytics. We want to see how your skills align with our needs!
Showcase Your Projects:Include specific projects where you've built predictive models or worked on data-driven growth strategies. We love seeing real examples of how you've made an impact in previous roles, so don’t hold back!
Keep It Clear and Concise:When writing your application, clarity is key! Use straightforward language to explain complex data concepts. Remember, we’re looking for someone who can communicate insights effectively to non-technical stakeholders.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it’s super easy!
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
This role is all about driving data-led growth, so be prepared to talk about how your work has directly influenced business outcomes. Think of specific instances where your data analysis led to improved customer targeting or market opportunities, and be ready to share those stories.
✨Communicate Like a Pro
Strong communication skills are key for this position. Practice explaining your technical work in simple terms, as you'll need to influence non-technical stakeholders. Consider preparing a few examples of how you've successfully communicated complex analyses in the past.
✨Show Your Collaborative Spirit
This role involves working closely with various teams, so highlight your experience in cross-functional collaboration. Be ready to discuss how you've partnered with sales, marketing, or product teams to optimise strategies and drive growth. Show that you're a team player who can bridge the gap between data and business strategy.
