National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Lead Decision Scientist - Customer Behavior Analytics 2025- UK

Aimpoint Digital
London
3 months ago
Applications closed

Related Jobs

View all jobs

Principal Machine Learning Engineer (Basé à London)

Principal Machine Learning Engineer (Basé à London)

Principal Machine Learning Engineer

Principal Machine Learning Engineer

Senior AI Architect and Data Scientist, Central Business Services

Lead Data Scientist

Lead Decision Scientist - Customer Behavior Analytics 2025- UK 

Aimpoint Digital is a premier analytics consulting firm with a mission to drive business value for clients through expertise in data strategy, data analytics, decision sciences, and data engineering and infrastructure. This position is within our decision sciences practice which focuses on delivering solutions via machine learning, statistical modelling, and causal inference. This position is for a client-facing, project lead level role for someone who has deployed solutions that utilize customer data to generate value for the business. This role at other companies may be referred to as a Machine Learning Engineer or Data Scientist. 

What you will do 

As a part of Aimpoint Digital, you will focus on enabling clients to get the most out of their data through analytical problem solving. You will work with all levels of the client organization to build value driving solutions that extract insights and then train them on how to manage and maintain these solutions. Typical solutions will utilize machine learning, deep learning, statistical analysis, automation, optimization, and/or data visualizations. As a Lead Decision Scientist, you will be expected to work independently on client engagements, run engagements with additional team members, take part in the development of our practice, aid in business development, and contribute innovative ideas to our company.  

As a Lead Decision Scientist, you will: 

  • Work independently to design, develop, and deploy causal machine learning and AI models with a focus on customer behavior to influence decision making, including but not limited to (churn, upsell, pricing sensitivity, and action uplift measurement) 
  • Become a trusted advisor working with clients to deliver these analytical solutions 
  • Collaborate with stakeholders and customers to ensure successful project delivery 
  • Write production-ready code in SQL, Python, and Spark following software engineering best practices 
  • Coach team members in of machine learning and statistical modelling techniques 

Who we are looking for 

We are looking for collaborative individuals who want to drive value, work in a fast-paced environment, and solve real business problems.  You are a coder who writes efficient and optimized code. You are an analytical-problem-solver who can deliver simple, elegant solutions that pushes into cutting-edge, regardless of complexity, your clients can understand, implement, and maintain. You genuinely think about the end-to-end machine learning pipeline as you generate these robust solutions. You are both a teacher and a student as we enable our clients, upskill our teammates, and learn from one another. You want to drive impact for your clients and do so through thoughtfulness, prioritization, and seeing a solution through from brainstorming to deployment.  

Core Qualifications: 

  • Master's degree or higher in Statistics, Economics, Computer Science, Engineering, Mathematics or equivalent experience 
  • 3-5 years of practical machine learning experience 
  • Experience in programming in Python   
  • Experience building machine learning models or developing algorithms for business applications in a customer facing domain 
  • Familiarity with causal inference techniques and concepts 
  • Experience communicating complex topics and results to high-level stakeholders in marketing & product roles. Strong written and verbal communication skills are required 
  • Self-starter with excellent communication skills, able to work independently, and lead projects, initiatives, and/or people 
  • Willingness to travel 

Want to stand out? 

  • Consulting Experience 
  • Databricks Machine Learning Associate or Machine Learning Professional Certification 
  • Developed and deployed real-time pricing, recommendation or next best action models  
  • Understanding of MLOps  

We are actively seeking candidates for full-time, remote work within the UK. 

National AI Awards 2025

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 Salary Calculator 2025: Work Out Your Market Value in Seconds

Why your 2024 salary data is already outdated “Am I being paid what I’m worth?” It is the question that creeps in whenever you update your CV, see a former colleague announce a punchy pay rise on LinkedIn, or notice a recruiter slide into your inbox with a role that looks eerily similar to your current one—only advertised at £20k more. Artificial intelligence moves faster than any other hiring market. New frameworks are open‑sourced overnight, venture capital floods specific niches without warning, & entire job titles—Prompt Engineer, LLM Ops Specialist—appear in the time it takes most industries to schedule a meeting. In that environment, salary guides published only a year ago already look like historical curiosities. To give AI professionals an up‑to‑the‑minute benchmark, ArtificialIntelligenceJobs.co.uk has built a simple yet powerful salary‑calculation formula. By combining three variables—role, UK region, & seniority—you can estimate a realistic 2025 salary band in less than a minute. This article explains that formula, unpacks the latest trends driving pay, & offers concrete steps to boost your personal market value over the next 90 days.

How to Present AI Models to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

In today’s competitive job market, AI professionals are expected to do more than just build brilliant algorithms—they must also explain them clearly to stakeholders who may have no technical background. Whether you're applying for a role as a machine learning engineer, data scientist, or AI consultant, your ability to articulate complex models in simple terms is fast becoming one of the most valued soft skills in interviews and on the job. This guide will help you master the art of public speaking for AI roles, offering tips on structuring presentations, designing effective slides, and using storytelling to make your work resonate with any audience.

AI Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide – we refresh it every quarter so you always know who’s really scaling their artificial‑intelligence teams. Artificial intelligence hiring has roared back in 2025. The UK’s boosted National AI Strategy funding, record‑breaking private investment (£18.1 billion so far) & a fresh wave of generative‑AI product launches mean employers are jockeying for data scientists, ML engineers, MLOps specialists, AI product managers, prompt engineers & applied researchers. Below are 50 organisations that have advertised UK‑based AI vacancies in the past eight weeks or formally announced growth plans. They’re grouped into five easy‑scan categories so you can jump straight to the kind of employer – & culture – that suits you. For each company you’ll find: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, culture, mission) Use the internal links to browse current vacancies on ArtificialIntelligenceJobs.co.uk – or set up a free job alert so fresh roles land in your inbox.