Lead Data Scientist

We are looking for an agileLead Data Scientistwho can contribute to all stages of our data science client projects. This means that as well as developing cutting-edge machine learning solutions, we are looking for someone who can also design data science solutions from scratch and present their team's work in an engaging and informative manner. If you enjoy seeing your work deployed into ‘real-life’ applications, this is the perfect role for you.

Not only will your work directly contribute to our client deliverables, but you will have the opportunity to experiment with a range of cutting-edge techniques and deliver full-stack data science projects across a range of industries and geographies.

If this sounds like you, we can't wait to hear from you!

KEY RESPONSIBILITIES:

• Lead the design, development, testing, and evaluation of data science solutions for the successful delivery of multiple client projects
• Build strong client relationships and lead project centred client interactions
• Oversee the delivery of high-quality code and successful project outcomes
• Train and deploy state-of-the-art machine learning and reinforcement learning models
• Build AI systems using Large Language Models
• Build processes for extracting, cleaning and transforming data (SQL / Python)
• Ad-hoc data mining for insights using Python + Jupyter notebooks
• Actively seek out new opportunities to learn and develop
• Be an example of data science best-practice e.g. Git / Docker / cloud deployment
• Write proposals for exciting new data science opportunities
• Line manage and provide career mentorship to other data scientists

REQUIRED SKILLS:

• Degree in a quantitative field such as mathematics, statistics or data science
• Experience of leading meetings and presenting technical concepts to stakeholders
• Experience of successfully leading complex data science and AI projects, including a holistic understanding of the data science development process, from design through to deployment, and associated project management and risks
• Experience of completing code reviews in Python and SQL through Git, and applying other best practices to technical projects
• Experience and understanding of applied machine learning techniques in Python (e.g. xgboost, regression, decision trees)
• Practical knowledge and experience of developing AI solutions using advanced machine learning techniques (e.g. reinforcement learning, deep learning, LLMs)
• Experience of using different analysis techniques to draw insight from complex data, using tools such as Python and SQL
• Experience of successfully mentoring and managing data science teams
• Strong foundations in mathematics and statistics
• Excellent communication skills through written reports and presentations
• Organisational skills (e.g. planning, time management)
• Excellent Python, including relevant libraries for data analysis and machine learning (e.g. sklearn, Pandas, NumPy) and at least one deep learning framework
• Strong SQL for data analysis and manipulation
• Strong problem-solving and analytical skills, with high attention to detail
• Ability to think strategically and make complex decisions
• Ability to effectively line manage and mentor others

INTERVIEW PROCESS:

Stage 1: 20 min video call with the Hiring Manager

Stage 2: 60 min technical interview

Stage 3: 90 min F2F interview incl. scenario-based task in our London office

OUR COMMITTMENT TO DEI:

At ADSP, we are committed to fostering an inclusive hiring process and believe in creating an environment where all candidates have equal opportunities to succeed. If you require any reasonable adjustments during the application or interview process, please do not hesitate to reach out to us at

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