Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Data Science Manager

Alvarium Talent
City of London
2 months ago
Applications closed

Related Jobs

View all jobs

Data Science Manager

Data Science Manager

Data Science Manager

Data Science Manager (Market Research)

Data Science Manager (Market Research)

Data Science Manager – Insights Consultancy

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 .

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

Seasonal Hiring Peaks for Data Science Jobs: The Best Months to Apply & Why

The UK's data science sector has matured into one of Europe's most intellectually rewarding and financially attractive technology markets, with roles spanning from junior data analysts to principal data scientists and heads of artificial intelligence. With data science positions commanding salaries from £30,000 for graduate data analysts to £140,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this intellectually stimulating and rapidly evolving field. Unlike traditional analytical roles, data science hiring follows distinct patterns influenced by business intelligence cycles, research funding schedules, and machine learning project timelines. The sector's unique combination of mathematical rigour, business impact requirements, and cutting-edge technology adoption creates predictable hiring windows that strategic professionals can leverage to advance their careers in extracting insights from tomorrow's data. This comprehensive guide explores the optimal timing for data science job applications in the UK, examining how enterprise analytics strategies, academic research cycles, and artificial intelligence initiatives influence recruitment patterns, and why strategic timing can determine whether you join a pioneering AI research team or miss the opportunity to develop the next generation of intelligent systems.

Jobs

Pre-Employment Checks for Data Science Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in data science reflects the discipline's unique position at the intersection of statistical analysis, machine learning innovation, and strategic business intelligence. Data scientists often have privileged access to comprehensive datasets, proprietary algorithms, and business-critical insights that form the foundation of organisational strategy and competitive positioning. The data science industry operates within complex regulatory frameworks spanning GDPR, sector-specific data protection requirements, and emerging AI governance regulations. Data scientists must demonstrate not only technical competence in statistical modelling and machine learning but also deep understanding of research ethics, data privacy principles, and the societal implications of algorithmic decision-making. Modern data science roles frequently involve analysing personally identifiable information, financial data, healthcare records, and sensitive business intelligence across multiple jurisdictions and regulatory frameworks simultaneously. The combination of analytical privilege, predictive capabilities, and strategic influence makes thorough candidate verification essential for maintaining compliance, security, and public trust in data-driven insights and automated systems.

Careers

Why Now Is the Perfect Time to Launch Your Career in Data Science: The UK's Analytics Revolution

The United Kingdom stands at the forefront of a data science revolution that's reshaping how businesses make decisions, governments craft policies, and society tackles its greatest challenges. From the machine learning algorithms powering London's fintech innovation to the predictive models guiding Manchester's smart city initiatives, Britain's transformation into a data-driven economy has created an unprecedented demand for skilled data scientists that far outstrips the available talent. If you've been contemplating a career transition or seeking to position yourself at the cutting edge of the digital economy, data science represents one of the most intellectually stimulating, financially rewarding, and socially impactful career paths available today. The convergence of big data maturation, artificial intelligence mainstream adoption, business intelligence evolution, and cross-industry digital transformation has created the perfect conditions for data science career success.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.