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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: Shape the future of AI while mentoring a talented team and making impactful decisions.
- Qualifications: Expertise in Data Science, Machine Learning, and cloud technologies like Amazon SageMaker.
- Other info: Collaborative culture with opportunities for professional growth and development.
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 Technologies Recruitment
Contact Detail:
Randstad Technologies Recruitment 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 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 your technical knowledge and soft skills. Be ready to discuss how you've mentored others and collaborated with cross-functional teams, as these are key aspects of the role.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. 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 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Data Science Practitioner. Highlight your experience with AI/ML models and any relevant projects that showcase your ability to drive business outcomes.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've led teams or mentored others in data science, and don’t forget to mention your familiarity with tools like SageMaker!
Showcase Your Technical Skills: In your application, be clear about your technical toolkit. Mention your advanced mastery in data science and machine learning, and any hands-on experience with RAG and MCP. We want to see what you can bring to the table!
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 don’t miss out on any important updates from us!
How to prepare for a job interview at Randstad Technologies Recruitment
✨Know Your AI/ML Stuff
Make sure you brush up on the latest trends in AI and machine learning, 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 made key decisions that positively impacted your team's performance.
✨Bridge the Gap with Examples
Be prepared to talk about your experience collaborating with software engineering and product teams. Share specific instances where you integrated models into existing workflows and how that improved processes.
✨Quantify Your Impact
When discussing your previous work, focus on how you measured the ROI of your AI solutions. Bring concrete examples of evaluation frameworks you've used to justify your decisions to stakeholders.
