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- Tasks: Lead innovative data science projects and collaborate with teams to deliver impactful AI solutions.
- Company: Join a specialist consultancy at the forefront of AI and data science innovation.
- Benefits: Enjoy a collaborative culture, opportunities for mentorship, and the freedom to innovate.
- Why this job: Shape the future of AI while tackling real-world challenges in a dynamic environment.
- Qualifications: Expertise in data science, AI, and strong communication skills are essential.
- Other info: Must have the right to work in the UK; no visa sponsorship available.
The predicted salary is between 43200 - 72000 £ per year.
A specialist data consultancy is seeking a Data Science Manager - a creative, technically strong, and commercially minded expert - to play a key role in shaping the future of AI and data science delivery. This is an exciting opportunity to work at the cutting edge of machine learning and generative AI, addressing real-world business challenges. With the freedom to innovate and the support of a collaborative and expanding team, you'll have the chance to create something impactful from the ground up.
Main Responsibilities
- Collaborate with engineering and MLOps teams to develop scalable, robust, and production-ready solutions
- Design and deliver data science and GenAI solutions that drive tangible value for clients
- Act as a trusted advisor, translating complex business needs into technical solutions using a tailored mix of ML and GenAI techniques
- Identify opportunities for added value and innovation within client engagements
- Cultivate strong client relationships through clear, consultative communication and dependable delivery
- Lead discovery sessions and workshops to explore client pain points and shape tailored strategies
- Mentor and develop internal talent, supporting skills growth and capability building
- Represent the consultancy at industry events and contribute thought leadership through articles, blog posts, and strategic insights
- Foster a culture of collaboration, innovation, and continuous improvement
Skills & Experience
- Demonstrated expertise in data science and AI, with a strong portfolio of successful ML and GenAI project delivery
- Practical experience in building, deploying, and maintaining production-grade models
- Strong communication skills with the ability to engage a wide range of stakeholders
- Hands-on experience with LLMs, vector databases, RAG pipelines, prompt engineering, and model fine-tuning
- Familiarity with cloud platforms (especially Azure), and tools such as Databricks, Hugging Face, LangChain, and open-source GenAI frameworks
- Deep curiosity and a passion for staying ahead of AI and data science developments
- Commercial acumen and a focus on delivering value-led outcomes
- Entrepreneurial drive to lead and scale a high-impact function
If you're passionate about data and AI, and ready to take a leading role in a UK-based consultancy at the cutting edge of the industry, we’d love to hear from you. Applicants must have the right to work in the UK and not require sponsorship now or in the future. Visa sponsorship is not available.
Data Science Manager employer: Alvarium Talent
Contact Detail:
Alvarium Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Manager
✨Tip Number 1
Network with professionals in the data science and AI fields. Attend industry events, webinars, or meetups to connect with potential colleagues and learn about the latest trends. This can help you gain insights into what the consultancy is looking for and may even lead to referrals.
✨Tip Number 2
Showcase your expertise by contributing to online forums or writing articles on platforms like LinkedIn. Share your thoughts on machine learning and generative AI topics relevant to the role. This not only demonstrates your knowledge but also positions you as a thought leader in the field.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully implemented ML and GenAI solutions. Be ready to explain your approach, the challenges faced, and the impact of your work. This will highlight your practical experience and problem-solving skills during interviews.
✨Tip Number 4
Familiarise yourself with the tools and technologies mentioned in the job description, such as Azure, Databricks, and Hugging Face. Consider taking online courses or tutorials to enhance your skills in these areas, which will demonstrate your commitment to continuous learning and innovation.
We think you need these skills to ace Data Science Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science and AI, particularly any successful ML and GenAI projects. Use specific examples that demonstrate your technical skills and commercial acumen.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data and AI. Discuss how your background aligns with the responsibilities of the Data Science Manager role, and mention your entrepreneurial drive and ability to innovate.
Showcase Your Communication Skills: Since strong communication is key for this role, consider including examples in your application that demonstrate your ability to engage with stakeholders and translate complex concepts into understandable terms.
Highlight Relevant Tools and Technologies: Mention your hands-on experience with relevant tools such as Azure, Databricks, and open-source GenAI frameworks. This will show that you are well-versed in the technologies that are crucial for the role.
How to prepare for a job interview at Alvarium Talent
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with machine learning and generative AI in detail. Highlight specific projects where you've successfully built, deployed, and maintained production-grade models, as this will demonstrate your technical strength and creativity.
✨Communicate Clearly and Confidently
Strong communication skills are essential for this role. Practice explaining complex data science concepts in simple terms, as you'll need to engage with a variety of stakeholders. Use examples from your past experiences to illustrate your points.
✨Demonstrate Your Commercial Acumen
Prepare to discuss how your work has delivered tangible value to clients. Think about specific instances where you identified opportunities for innovation and added value, and be ready to share these insights during the interview.
✨Emphasise Your Collaborative Spirit
This role requires collaboration with engineering and MLOps teams. Be ready to talk about your experience working in cross-functional teams, leading workshops, and mentoring others. Show that you can foster a culture of collaboration and continuous improvement.
