At a Glance
- Tasks: Lead AI-driven projects and deliver data science value at scale.
- Company: Join a forward-thinking company focused on innovation and growth.
- Benefits: Competitive salary, flexible working, and opportunities for professional development.
- Other info: Exciting opportunity to mentor teams and drive strategic initiatives.
- Why this job: Shape the future of AI and analytics while making a real impact.
- Qualifications: Deep knowledge of data science, AI, and strong Python skills required.
The predicted salary is between 80000 - 100000 € per year.
Requirements
- Deep knowledge of data science, advanced analytics and AI, including GenAI and Agentic AI
- Strong understanding of the mathematics, statistics and scientific principles underpinning modern AI and analytics techniques
- Experience applying ethical, regulatory and governance frameworks
- Proven experience in scaling, deploying and monitoring models in production, using MLOps best practices
- Strong Python programming capability
- Ability to define and execute data science and AI strategy, simplifying complexity and aligning outputs to business value
- A proven record of leading, mentoring and upskilling data science teams
- Demonstrated success in delivering projects end‑to‑end, from concept through live production
- Excellent stakeholder management skills, with the ability to influence across multiple organisational levels
- Strong prioritisation and delivery skills, operating at pace with a clear focus on outcomes
- A tenacious, resilient mindset with a “can‑do” attitude and drive to make things happen
What the job involves
This position is offered on a 12‑month FTC basis. Lead the delivery of AI‑driven value at scale - This newly created role exists to meet growing business demand for value delivered through data science, advanced analytics and AI.
Head of Data Science (Advanced Analytics & Artificial Intelligence) employer: Deepstreamtech
As an employer, we pride ourselves on fostering a dynamic and inclusive work culture that champions innovation and collaboration. Our commitment to employee growth is evident through tailored development programmes and mentorship opportunities, ensuring that our team members thrive in their careers. Located in a vibrant area, we offer unique advantages such as flexible working arrangements and access to cutting-edge technology, making us an excellent choice for those seeking meaningful and rewarding employment in the field of data science and AI.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Data Science (Advanced Analytics & Artificial Intelligence)
✨Tip Number 1
Network like a pro! Connect with industry professionals on LinkedIn and attend relevant meetups or conferences. This can help us get our foot in the door and learn about unadvertised opportunities.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your data science projects, especially those involving AI and advanced analytics. We want to demonstrate our ability to deliver value through real-world examples.
✨Tip Number 3
Prepare for interviews by brushing up on technical skills and understanding the latest trends in AI and data science. We should be ready to discuss how we can apply ethical frameworks and MLOps best practices in our work.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for passionate individuals who can lead and mentor teams in delivering AI-driven value.
We think you need these skills to ace Head of Data Science (Advanced Analytics & Artificial Intelligence)
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your deep knowledge of data science, advanced analytics, and AI in your application. We want to see how your experience aligns with the requirements, so don’t hold back on showcasing your Python programming skills and any MLOps practices you've mastered.
Keep It Relevant:When writing your application, focus on your experience with ethical frameworks and governance in AI. We’re looking for someone who can navigate these complexities, so share specific examples that demonstrate your understanding and application of these principles.
Lead with Impact:We love a good story! Share your success in leading data science teams and delivering projects from concept to live production. Highlight how you’ve influenced stakeholders and aligned outputs to business value – this is key for us!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details 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 Deepstreamtech
✨Know Your Stuff
Make sure you brush up on your deep knowledge of data science, advanced analytics, and AI. Be ready to discuss specific techniques, especially around GenAI and Agentic AI, and how they can be applied in real-world scenarios.
✨Showcase Your Experience
Prepare to share examples of your experience with scaling, deploying, and monitoring models in production. Highlight your familiarity with MLOps best practices and how you've successfully delivered projects from concept to live production.
✨Demonstrate Leadership Skills
Since this role involves leading and mentoring teams, think of instances where you've successfully guided others. Be ready to discuss your approach to upskilling team members and how you manage stakeholder relationships effectively.
✨Emphasise Your Strategic Mindset
Articulate how you define and execute data science and AI strategies that align with business value. Show that you can simplify complex concepts and prioritise tasks to deliver outcomes efficiently, all while maintaining a positive, can-do attitude.
