Data Science Lead

McGregor Boyall
London
1 year ago
Applications closed

Related Jobs

View all jobs

AI & Data Science Lead: Gen AI & Analytics

Telematics Data Science Lead

AI & Data Science Leader: Gen AI & Analytics

Lecturer in Music & Data Science — Lead MSc Program

Senior AI & Data Science Leader

Senior Lead Analyst - Data Science_ UK

Responsibilities

of a GenAI Data Science Lead: Build and lead a high-performing Data Science, Generative AI, AI/ML Engineering & Ops team using agile practices Drive P&L, formulate growth strategies, and achieve revenue targets for the Data Science practice Architect and deliver cutting-edge data science and Generative AI/ML solutions for clients across industries Lead end-to-end sales processes, including solution design, consultative selling, and RFP responses Establish thought leadership and contribute to marketing initiatives, industry events, and conferences Orchestrate large, multi-service line deals and drive strategic client engagements

Requirements for a GenAI Data Science Lead:

10+ years of experience in Data Science, AI/ML transformations with top-tier brands, especially in the UK & Europe Deep expertise in Generative AI, AI/ML practices, tools, techniques, and industry trends Proven leadership in building and managing diverse, high-performing teams Experience with consultative selling, solution design, and delivering data transformation projects Strong business acumen, with a track record of achieving sales targets and developing new business Exceptionalmunication, relationship-building, and stakeholder management skills Passion for innovation, strategic thinking, and a "will-to-win" attitude Master's degree or higher inputer Science, Data Science, or a related field


If you are a dynamic leader with a passion for data science and AI/ML, and a proven track record of driving growth and delivering exceptional customer experiences, click apply!

McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.

Job ID RK00030

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

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.

Education Jobs

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.

Jobs

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for 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.