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 through data-driven strategies.
- 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
- 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) employer: Salt
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 offering ample opportunities for professional development and career advancement. With a focus on impactful contributions, you'll enjoy a rewarding environment that values your expertise and insights.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist (Growth / GTM / Analytics)
✨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 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 Us!
We’ve got some fantastic opportunities waiting for you on our website. Don’t hesitate to apply directly through us – it’s a great way to get noticed and land that dream role in data science!
We think you need these skills to ace Senior Data Scientist (Growth / GTM / Analytics)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience in data science, especially any work related to growth and analytics. We want to see how your skills align with our needs!
Showcase Your Projects:Include specific projects where you've used data to drive business decisions. We love seeing real-world examples of your predictive models or customer segmentation frameworks that have made an impact.
Keep It Clear and Concise:When writing your application, clarity is key! Use straightforward language to explain complex concepts. Remember, we want to understand your thought process without getting lost in jargon.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Salt
✨Know Your Data Inside Out
Make sure you’re well-versed in the data science techniques relevant to the role. Brush up on your SQL and Python skills, and be ready to discuss how you've used predictive models in past projects. This will show that you can hit the ground running.
✨Understand the Business Impact
Since this role is all about driving growth, be prepared to talk about how your data insights have led to tangible business outcomes. Think of specific examples where your work has influenced revenue or improved customer targeting.
✨Prepare for Cross-Functional Collaboration
This position requires working closely with sales, marketing, and strategy teams. Be ready to share experiences where you’ve successfully collaborated across departments. Highlight your communication skills and how you’ve translated complex data into actionable insights for non-technical stakeholders.
✨Showcase Your Problem-Solving Skills
Expect to face some scenario-based questions during the interview. Prepare to discuss how you would approach identifying market opportunities or improving go-to-market strategies using data. This will demonstrate your analytical thinking and ability to tackle real-world challenges.
