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- Tasks: Lead impactful data science projects and turn business challenges into actionable insights.
- Company: Join a PE-backed Leisure business based in Hatfield, Hertfordshire, focused on growth and innovation.
- Benefits: Enjoy remote work flexibility and the chance to influence business strategy.
- Why this job: Be the bridge between data and decision-makers, shaping the future of the company.
- Qualifications: Proven experience in data science, strong Python and SQL skills, ideally with Azure tools.
- Other info: Collaborate with diverse teams and help scale the company's data science capabilities.
The predicted salary is between 48000 - 84000 £ per year.
twentyAI are partnering with a PE-backed Leisure business HQ'ed in Hatfield, Hertfordshire who are looking for a commercially-minded Senior Data Scientist with a knack for building strong relationships, leading impactful projects, and turning business challenges into data-driven opportunities. This is more than a technical role — it’s about leading high-impact projects, building strong stakeholder relationships, and turning business challenges into data-driven decisions. You’ll partner closely with teams across the company, translating complex analysis into clear, actionable insights that drive performance.
- Acting as the bridge between data and decision-makers, helping shape business strategy through evidence
- Leading high-impact, cross-functional analytics projects with end-to-end ownership
- Turning messy, real-world data into compelling stories and practical outcomes
- Collaborating with product, marketing, and operations teams to embed data into everyday thinking
- Influencing how the business scales and evolves their data science capability as they grow
Proven experience in a commercial data science role, ideally leading projects or a small team. Strong Python and SQL skills, ideally with Azure tools (Databricks, Data Factory).
Data Science Data Science Senior Data Scientist (Python) (Remote) employer: twentyAI
Contact Detail:
twentyAI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Data Science Senior Data Scientist (Python) (Remote)
✨Tip Number 1
Network with professionals in the data science field, especially those who have experience in commercial roles. Attend industry meetups or webinars to connect with potential colleagues and learn about their experiences at companies similar to the one you're applying for.
✨Tip Number 2
Familiarise yourself with the specific tools mentioned in the job description, such as Azure Databricks and Data Factory. Consider taking online courses or tutorials to enhance your skills and demonstrate your commitment to mastering these technologies.
✨Tip Number 3
Prepare to discuss your previous projects in detail, focusing on how you turned complex data into actionable insights. Be ready to share examples of how your work has influenced business decisions and led to measurable outcomes.
✨Tip Number 4
Research the company’s current data initiatives and challenges. Tailor your conversations during interviews to show how your skills and experiences can directly address their needs and help them achieve their strategic goals.
We think you need these skills to ace Data Science Data Science Senior Data Scientist (Python) (Remote)
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of a Senior Data Scientist. Focus on how your experience aligns with leading high-impact projects and building stakeholder relationships.
Tailor Your CV: Highlight your relevant experience in data science, particularly any leadership roles or projects you've managed. Emphasise your skills in Python and SQL, and mention any experience with Azure tools like Databricks or Data Factory.
Craft a Compelling Cover Letter: Use your cover letter to tell a story about your journey in data science. Explain how you've turned business challenges into data-driven opportunities and how you can contribute to the company's growth.
Showcase Your Projects: If possible, include links to your previous work or projects that demonstrate your ability to turn messy data into actionable insights. This could be through a portfolio or GitHub repository.
How to prepare for a job interview at twentyAI
✨Showcase Your Leadership Skills
Since this role involves leading high-impact projects, be prepared to discuss your previous experiences in managing teams or projects. Highlight specific examples where you successfully guided a team towards achieving a goal, and how you navigated challenges along the way.
✨Demonstrate Your Commercial Acumen
This position requires a commercially-minded approach. Be ready to explain how your data science work has directly influenced business decisions or outcomes. Use concrete examples to illustrate how you've turned data insights into actionable strategies that benefited the company.
✨Prepare for Technical Questions
Expect to be tested on your Python and SQL skills, as well as your familiarity with Azure tools. Brush up on relevant technical concepts and be ready to solve problems on the spot. Practising coding challenges or SQL queries can help you feel more confident.
✨Emphasise Collaboration
Since the role involves working closely with various teams, be sure to highlight your collaborative experiences. Discuss how you've effectively communicated complex data findings to non-technical stakeholders and how you’ve worked with product, marketing, and operations teams to drive data-driven decisions.
