At a Glance
- Tasks: Lead AI-driven projects, turning complex data into impactful solutions.
- Company: Join a forward-thinking organisation focused on data science and AI innovation.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Dynamic role with a focus on collaboration and high-performance culture.
- Why this job: Make a real difference by delivering value through advanced analytics and AI.
- Qualifications: Deep knowledge of data science, strong Python skills, and leadership experience.
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
- As Head of Data Science, Advanced Analytics & AI, you will provide both technical leadership and strategic direction, ensuring data products are aligned to business priorities and deliver tangible, measurable impact
- You’ll lead multidisciplinary teams, collaborate closely with senior stakeholders across the organisation, and take ownership of turning complex data capabilities - including GenAI and Agentic AI - into production‑ready solutions that solve real business problems
- The Head of Data Science, Advanced Analytics and AI will be responsible and accountable for:
- Identifying, prioritising and delivering data products aligned to business needs
- Working collaboratively with stakeholders across multiple business functions
- Translating complex analysis and insights into clear messaging for stakeholders with varying levels of technical knowledge
- Ensuring full compliance with data governance, regulatory and legal requirements
- Providing day‑to‑day leadership of data science and analytics teams
- Managing relationships with third‑party vendors and partners
- Setting technical direction and providing strategic guidance across data initiatives
- Leading by example through mentorship, coaching and upskilling of team members
- Embedding best practices and fostering a collaborative, inclusive, high‑performance culture
- Taking accountability for projects from inception through to production
Head of Data Science (Advanced Analytics & Artificial Intelligence) in Manchester 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 mentorship programmes and opportunities to lead cutting-edge projects in the rapidly evolving field of AI and advanced analytics. Located in a vibrant area, we offer competitive benefits and a supportive environment where your contributions directly impact our success and drive meaningful change.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Data Science (Advanced Analytics & Artificial Intelligence) in Manchester
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or conferences related to data science and AI. You never know who might have the inside scoop on job openings or can refer you directly.
✨Showcase Your Skills
Create a portfolio that highlights your projects and achievements in data science and AI. Use platforms like GitHub to share your code and demonstrate your Python prowess. This will give potential employers a taste of what you can bring to the table.
✨Ace the Interview
Prepare for interviews by brushing up on both technical and soft skills. Be ready to discuss your experience with MLOps, ethical frameworks, and how you've led teams. Practice common interview questions and think about how you can align your answers with the company's goals.
✨Apply Through Our Website
Don’t forget to check out our website for the latest job openings! Applying directly through our site can sometimes give you an edge, as we prioritise candidates who show genuine interest in joining our team.
We think you need these skills to ace Head of Data Science (Advanced Analytics & Artificial Intelligence) in Manchester
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, especially your Python programming skills and understanding of MLOps best practices.
Be Clear and Concise:When describing your past projects, focus on delivering clear messaging that showcases your ability to simplify complex concepts. Remember, we’re looking for someone who can translate technical jargon into insights that resonate with stakeholders at all levels.
Demonstrate Leadership:We value strong leadership skills, so don’t shy away from sharing examples of how you’ve led and mentored teams in the past. Highlight your experience in delivering projects end-to-end and how you’ve influenced outcomes across different organisational levels.
Apply Through Our Website:We encourage you to apply through our website for a seamless application process. It’s the best way for us to receive your application and ensure it gets the attention it deserves!
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 Leadership Skills
Prepare examples that highlight your experience in leading and mentoring data science teams. Think about times when you’ve successfully delivered projects end-to-end and how you’ve influenced stakeholders at various levels.
✨Talk About Ethics and Compliance
Be prepared to discuss how you’ve applied ethical, regulatory, and governance frameworks in your previous roles. This is crucial for the position, so having concrete examples will show you understand the importance of compliance in data science.
✨Simplify Complexity
Practice explaining complex data concepts in simple terms. You’ll need to translate technical insights into clear messaging for stakeholders with varying levels of understanding, so being able to communicate effectively is key.
