Senior Manager (Data Science)

Nicholson Glover

London

2 weeks ago

Applications closed

Related Jobs

View all jobs

Principal Data Analyst - Improvement Analytics Unit (IAU)

Senior Data Science Manager

Software Manager

Senior Engineer Automation & Developer

Senior Automation & Developer Engineer

Data Analytics Manager

Senior Manager (Data Science) | Consulting | Up to £100,000 + Bonus | London/Hybrid

Ensure all your application information is up to date and in order before applying for this opportunity.

We are working on an exciting opportunity with a well-established data consultancy, that is hiring for a Senior Manager (Data Science).

The Company

This firm is a strategic analytics consultancy that combines AI, data science, and commercial insight. They specialise in developing advanced analytics solutions for clients in industries such as finance, retail, private equity, public sector, etc.

The Role

As the Senior Manager (Data Science), you will lead a team of data scientists and analysts to develop data-driven solutions that drive business decisions and strategic initiatives.

This role will be heavy on the client-facing side, where you will oversee the end-to-end data science lifecycle, from scoping out client needs to deploying ML models.

The Candidate

Key attributes of the suitable Senior Manager (Data Science) include:

At least 5+ years of commercial data science experience
Experience within consulting, especially in sectors like Financial Services, Retail, Tech, Public Sector, etc.
Strong communication skills with experience in dealing with both technical and non-technical stakeholders

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

Industry Insights

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

Jun 17, 2025

Jobs

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.

Jun 16, 2025

Education

Part-Time Study Routes That Lead to Machine Learning Jobs: Evening Courses, Bootcamps & Online Masters

Machine learning—a subset of artificial intelligence—enables computers to learn from data and improve over time without explicit programming. From predictive maintenance in manufacturing to recommendation engines in e-commerce and diagnostic tools in healthcare, machine learning (ML) underpins many of today’s most innovative applications. In the UK, demand for ML professionals—engineers, data scientists, research scientists and ML operations specialists—is growing rapidly, with roles projected to increase by over 50% in the next five years. However, many aspiring ML practitioners cannot step away from work or personal commitments for full-time study. Thankfully, a rich ecosystem of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn machine learning while working. This comprehensive guide examines each route: foundational CPD units, immersive bootcamps, accredited online MSc programmes, funding options, planning strategies and a real-world case study. Whether you’re a software developer branching into ML, a statistician aiming to upskill, or a professional exploring AI-driven innovation, you’ll discover how to build in-demand ML expertise on your own schedule.

Jun 14, 2025

Careers

The Ultimate Assessment-Centre Survival Guide for Machine Learning Jobs in the UK

Assessment centres for machine learning positions in the UK are designed to reflect the complexity and collaboration required in real-world ML projects. From psychometric assessments and live model-building tasks to group data science challenges and behavioural interviews, recruiters evaluate your statistical understanding, coding skills, communication and teamwork. Whether you specialise in deep learning, reinforcement learning or NLP, this guide offers a step-by-step approach to excel at every stage and secure your next ML role.