Senior Manager/Associate Director - Data Analytics - Scaling consultancy

Milburn Lewis
London
1 year ago
Applications closed

Related Jobs

View all jobs

Head of Data Science -Telematics

Head of Data Science -Telematics

Lecturer/Senior Lecturer Data Science

Call for Associate Editor Applications: Computation, AI and Machine Learning

Data Science Manager

Data Science Manager

Our client is an award-winning data consultancy, and one of the fastest growing companies in its sector. They help clients get data right, by providing expertise across data strategy, data science, data engineering and BI. They do this across a range of industries, including manufacturing, energy, public sector, automotive and FMCG. The work is varied and interesting, and has won awards for innovation.


An opportunity has arisen to join their Client Delivery function as a Senior Manager/Associate Director. This is a senior role, that will play a pivotal part in how projects/programmes are delivered across the business.


Key responsibilities will include overseeing delivery of a range of different data programmes (i.e data science, data engineering, BI etc), across different industry sectors, with an initial focus on FMCG. You will be part of the client leadership team, and will be responsible for building and maintaining, long-lasting, solid relationships with clients, built on trust. You will lead and direct the technical project team to ensure value is being created for clients. You will also be involved in proposal submissions, business development initiatives and road-mapping of analytical projects.


The ideal candidate will have deep experience in delivering a diverse range of data projects across multiple industries, and formal consulting experience is essential for this role. Ideally you will have FMCG exposure but other sectors may be considered. Those of most interest include Energy, Manufacturing, Supply Chain, Automotive etc (they are less active within the FS space). You will have very strong Agile delivery and project governance experience within a commercial setting, and familiarity with Scrum ceremonies. You will have outstanding commercial awareness and excellent stakeholder managements skills with demonstrable experience in driving business value.


This is a fantastic opportunity to join one of the fastest growing consultancies in the data world, as they continue to scale, and be part of this exciting growth journey.

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.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.