At a Glance
- Tasks: Design AI-powered analytics experiences and translate executive questions into actionable insights.
- Company: Join a forward-thinking company leading the way in AI-driven enterprise analytics.
- Benefits: Enjoy hybrid working, performance bonuses, 28 days holiday, and private healthcare.
- Other info: Collaborative environment focused on continuous improvement and career growth.
- Why this job: Be at the forefront of AI transformation and influence data interaction for senior leaders.
- Qualifications: 3+ years in Data Science, experience with Power BI and conversational AI.
The predicted salary is between 60000 - 80000 € per year.
This is a unique opportunity to sit at the forefront of enterprise analytics—moving beyond traditional dashboards into conversational, AI-powered insights that empower senior leaders to make faster, smarter decisions. You’ll work at the intersection of data science, semantic modelling, and applied AI, helping transform data into intuitive, natural language experiences while ensuring accuracy, trust, and transparency at every step.
What You’ll Be Doing
- Design and deliver conversational analytics experiences using Power BI and AI tools
- Translate executive questions into structured analytical insights
- Optimise semantic data models for AI-readiness and natural language interaction
- Build and implement solutions that minimise AI hallucination risks and ensure data accuracy
- Develop explainable AI outputs, ensuring all insights are traceable and trusted
- Apply data science and ML techniques for insight generation, summarisation, and anomaly detection
- Partner with senior stakeholders to shape data-driven decision-making
- Coach and upskill teams on best practices in AI-enabled analytics
What We’re Looking For
- Minimum of 3 years of experience and a strong background in Data Science, Analytics, or Machine Learning
- Hands-on experience with Power BI semantic models or enterprise data modelling
- Experience with LLMs, conversational AI, or natural language analytics
- Deep understanding of data governance, quality, and metric definition
- Strong analytical thinking and problem-solving skills
- Ability to thrive in ambiguous, evolving environments and shape solutions from the ground up
Nice to have:
- Experience with Microsoft Copilot, Azure OpenAI, or similar platforms
- Knowledge of RAG (retrieval-augmented generation) or AI grounding techniques
- Experience supporting executive-level stakeholders
Why join us?
- Be at the forefront of AI-driven transformation in enterprise analytics
- Influence how senior leaders interact with data across the business
- Help define standards, best practices, and innovation in a growing space
- Work in a collaborative, forward-thinking environment focused on continuous improvement
What's in it for you?
- Hybrid working options for flexibility
- Bonus linked to company and personal performance
- 28 days holiday plus public holidays, with an annual leave purchase scheme
- Private healthcare, discounted dental insurance, and health cashback scheme
- Paid volunteering days and caregiver leave
- Access to retail discounts and our company share scheme
What we stand for
We’re committed to ensuring that every colleague, candidate, and member of our community experiences fair, equitable, and respectful treatment. We strive to create an environment where everyone belongs, feels valued, and is supported to thrive. If you require any assistance or reasonable adjustments during the application process, please let us know. We’re here to help.
Senior Data Scientist in Glasgow employer: SThree
Join us as a Senior Data Scientist and be part of a pioneering team at the forefront of AI-driven enterprise analytics. Our collaborative work culture fosters continuous improvement and innovation, while our commitment to employee growth ensures you have the resources and support to thrive in your career. Enjoy flexible hybrid working options, generous holiday allowances, and a range of health and wellness benefits that make us an exceptional employer in this dynamic field.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist in Glasgow
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Power BI and AI tools. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common questions related to data science and AI. We recommend using the STAR method to structure your answers—it's a game changer!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are keen to join us!
We think you need these skills to ace Senior Data Scientist in Glasgow
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, AI tools, and any relevant projects that showcase your skills in conversational analytics.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about transforming data into intuitive experiences. Share specific examples of how you've optimised semantic models or worked with senior stakeholders to drive data-driven decisions.
Showcase Your Problem-Solving Skills:In your application, don’t just list your skills—demonstrate them! Provide examples of how you've tackled ambiguous challenges in previous roles, especially those related to AI and data governance.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for this exciting opportunity at StudySmarter!
How to prepare for a job interview at SThree
✨Know Your Data Science Stuff
Make sure you brush up on your data science, analytics, and machine learning knowledge. Be ready to discuss your hands-on experience with Power BI and any AI tools you've used. They’ll want to see how you can translate complex data into actionable insights.
✨Prepare for Conversational AI Questions
Since the role involves conversational analytics, be prepared to talk about your experience with LLMs and natural language processing. Think of examples where you've optimised semantic models or minimised AI hallucination risks in your previous work.
✨Showcase Your Problem-Solving Skills
This position requires strong analytical thinking and the ability to thrive in ambiguous environments. Prepare to share specific instances where you've shaped solutions from scratch or tackled complex problems effectively.
✨Engage with Stakeholders
They’re looking for someone who can partner with senior stakeholders. Think about how you’ve previously supported executive-level decision-making and be ready to discuss how you can coach teams on best practices in AI-enabled analytics.
