At a Glance
- Tasks: Lead projects to develop machine learning models that enhance customer behaviour insights.
- Company: Aimpoint Digital is a top analytics consulting firm focused on data-driven business solutions.
- Benefits: Enjoy remote work flexibility and opportunities for professional growth and development.
- Why this job: Join a dynamic team solving real-world problems with cutting-edge technology and impactful solutions.
- Qualifications: Master’s degree in a relevant field and 3-5 years of machine learning experience required.
- Other info: Full-time remote position available within the UK, ideal for innovative thinkers.
The predicted salary is between 36000 - 60000 £ per year.
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.
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:
- 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 machine learning and statistical modelling techniques
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 push 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.
Lead Decision Scientist - Customer Behavior Analytics 2025- UK employer: Aimpoint Digital
Contact Detail:
Aimpoint Digital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Decision Scientist - Customer Behavior Analytics 2025- UK
✨Tip Number 1
Familiarise yourself with the latest trends in customer behaviour analytics and machine learning. Being able to discuss recent advancements or case studies during your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Network with professionals in the analytics and decision sciences community. Attend relevant meetups, webinars, or conferences to connect with potential colleagues or mentors who can provide insights into the role and company culture.
✨Tip Number 3
Prepare to showcase your problem-solving skills through practical examples. Think of specific projects where you successfully implemented machine learning solutions and be ready to discuss the challenges you faced and how you overcame them.
✨Tip Number 4
Brush up on your communication skills, especially when it comes to explaining complex concepts to non-technical stakeholders. Practice articulating your thought process clearly and concisely, as this will be crucial in a client-facing role.
We think you need these skills to ace Lead Decision Scientist - Customer Behavior Analytics 2025- UK
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning, data analytics, and customer behaviour. Emphasise your programming skills in Python and any experience with causal inference techniques.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about data analytics and how your background aligns with the role. Mention specific projects where you've successfully deployed machine learning solutions that generated business value.
Showcase Communication Skills: Since the role requires communicating complex topics to stakeholders, include examples in your application that demonstrate your ability to convey technical information clearly and effectively.
Highlight Leadership Experience: If you have experience leading projects or mentoring team members, make sure to include this in your application. Aimpoint Digital values collaborative individuals who can drive impact and lead initiatives.
How to prepare for a job interview at Aimpoint Digital
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning, Python, and SQL in detail. Bring examples of projects where you've successfully deployed models that influenced customer behaviour, as this will demonstrate your practical knowledge and ability to apply your skills in real-world scenarios.
✨Communicate Clearly
Since the role involves working with high-level stakeholders, practice explaining complex concepts in a simple and relatable manner. Use analogies or visual aids if necessary, and ensure you can articulate how your solutions drive business value.
✨Demonstrate Problem-Solving Abilities
Prepare to discuss specific challenges you've faced in previous roles and how you approached solving them. Highlight your analytical thinking and how you’ve used data to inform decisions, as this aligns with the expectations of a Lead Decision Scientist.
✨Emphasise Collaboration and Leadership
This position requires working independently and leading teams. Share experiences where you've coached others or collaborated on projects, showcasing your ability to lead discussions and drive initiatives while fostering a team environment.