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For Companies At a Glance
- Tasks: Lead the design of AI/ML models that drive strategic business decisions.
- Company: Join a forward-thinking tech company at the forefront of AI innovation.
- Benefits: Competitive salary, mentorship opportunities, and a dynamic work environment.
- Why this job: Make a real impact by translating complex data into measurable business value.
- Qualifications: Advanced skills in Data Science, Machine Learning, and cloud technologies.
- Other info: Collaborate with cross-functional teams and enjoy excellent career growth.
The predicted salary is between 36000 - 60000 £ per year.
We are looking for a senior Data Science Practitioner to lead the charge in designing and delivering AI/ML-based decision-making frameworks. You won't just build models; you will be the architect of business outcomes, translating complex data into measurable value.
As a subject matter expert, you will mentor a high-performing team, manage cross-functional integrations, and stay at the bleeding edge of AI (RAG, MCP, and SageMaker) to keep our projects ahead of the curve.
What You'll Do
- Architect Decision Systems: Design innovative AI/ML models that don’t just predict - they drive strategic business decisions.
- Lead & Mentor: Act as the technical North Star for the team, making key decisions and guiding junior scientists in best practices.
- Bridge the Gap: Collaborate with software engineering and product teams to integrate models into the SDLC and existing workflows.
- Measure Impact: Define and justify the ROI of AI solutions to stakeholders through rigorous evaluation frameworks.
Your Technical Toolkit
- Advanced Mastery: Data Science & Machine Learning.
- Cloud Expertise: Intermediate+ proficiency in Amazon SageMaker.
- Modern AI: Familiarity with Retrieval-Augmented Generation (RAG) and Model Context Protocol (MCP).
- Engineering Rigor: Solid understanding of the Software Development Life Cycle (SDLC).
Data Science Practitioner in Glasgow employer: Randstad Digital
Contact Detail:
Randstad Digital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Practitioner in Glasgow
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field and let them know you're on the hunt for a new role. You never know who might have the inside scoop on opportunities that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects, especially those that demonstrate your ability to drive business outcomes. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on the latest trends in AI and ML, especially around RAG and MCP. Be ready to discuss how you've applied these concepts in real-world scenarios and how they can benefit the company.
✨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 take the initiative to connect directly with us.
We think you need these skills to ace Data Science Practitioner in Glasgow
Some tips for your application 🫡
Showcase Your Expertise: When writing your application, make sure to highlight your advanced mastery in Data Science and Machine Learning. We want to see how your skills can architect decision systems that drive strategic business outcomes.
Be a Mentor in Your Application: Don’t just list your experiences; show us how you’ve led and mentored teams in the past. We’re looking for someone who can be our technical North Star, so share examples of how you've guided junior scientists.
Connect the Dots: Illustrate how you’ve collaborated with software engineering and product teams in your previous roles. We need someone who can bridge the gap between data science and practical application, so make those connections clear!
Quantify Your Impact: In your application, define and justify the ROI of your AI solutions. We love numbers, so include rigorous evaluation frameworks that demonstrate the measurable value you've created in past projects.
How to prepare for a job interview at Randstad Digital
✨Know Your AI/ML Stuff
Make sure you brush up on the latest trends in AI and ML, especially around RAG and MCP. Be ready to discuss how you've applied these technologies in past projects and how they can drive business outcomes.
✨Showcase Your Mentoring Skills
Since you'll be leading a team, think of examples where you've successfully mentored others. Prepare to share how you guided junior scientists and helped them grow, as this will highlight your leadership capabilities.
✨Bridge the Gap with Examples
Be prepared to discuss how you've collaborated with software engineering and product teams in the past. Share specific instances where you integrated models into existing workflows, showcasing your ability to work cross-functionally.
✨Quantify Your Impact
Have some solid examples ready that demonstrate how your AI solutions have delivered measurable value. Be ready to explain the ROI of your projects using rigorous evaluation frameworks, as this will resonate well with stakeholders.
