Lead Data Scientist Data Science Team · London, UK ·

We are looking for a Lead ML Engineer to drive technical project delivery, guiding teams to develop robust, scalable machine learning and generative AI solutions crafted for our clients. If you enjoy seeing the impact of your work in real-world applications, this role is perfect for you. Not only will you play a critical part in client deliverables, but you will also have the chance to explore and apply cutting-edge machine learning techniques across a variety of industries and geographies, delivering projects end-to-end from initial design to production deployment.
You will form an integral part of our close-knit team, directly contributing to the ongoing success of the business. We are seeking someone with a collaborative, can-do attitude who has a passion for delivering high-quality solutions and is comfortable leading the delivery of innovative, full-stack data science and machine learning projects.
If this sounds like you, we can’t wait to hear from you!
KEY RESPONSIBILITIES: Lead the design, development, testing, and evaluation of AI solutions for the successful delivery of several, simultaneous client projects
Build strong client relationships and lead project centred client interactions
Oversee the delivery of high-quality code and successful project outcomes
Build processes for extracting, cleaning and transforming data (SQL / Python)
Build AI systems using Large Language Models
Actively seek out new opportunities to learn and develop
Be an example of data science and software engineering best-practice e.g. Git / Docker / cloud deployment
Write proposals for exciting new commercial opportunities
Line manage and provide career mentorship to other data scientists
Manage project delivery teams
Collaborate with stakeholders to understand business needs and develop technical strategies
Take ownership of the development and implementation of internal processes and policies
Proactive thought leadership to encourage development and promote ADSP
Contribute to the development and deployment of delivery solutions
Ad-hoc data mining for insights using Python + Jupyter notebooks
Train and deploy state-of-the-art machine learning and reinforcement learning models
KEY REQUIREMENTS: Degree in a quantitative field such as mathematics, statistics or data science
Experience of strong communication skills, including 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 completing code reviews in Python and SQL through Git, and applied other best practices to technical projects
Experience of using SQL and databases (SQL Server, Postgres etc), as well as a cloud platform for development
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
Understanding of Docker implementations including Docker storage and volumes
Ability to successfully manage delivery teams
Understanding of Python advanced concepts including Object Oriented Programming (OOP), Concurrency, decorators, recursion
Ability to work with external stakeholders, including management of expectations understanding of business goals and balancing project requirements
Ability to think strategically and make complex decisions
Effective organisational skills e.g. planning, time management
Effective problem-solving and analytical skills, with high attention to detail
Familiarity of the most state-of-the-art AI developments and trends
Excellent Python, including relevant libraries for data analysis and machine learning (e.g. sklearn, Pandas, NumPy) and at least one deep learning framework
INTERVIEW PROCESS: Stage 1: 20 min video call with a member of the hiring team
Stage 2: 60 min live coding task
Stage 3: 90 min F2F interview incl. presentation in our London office
OUR BENEFITS: At ADSP, we believe in rewarding talent and supporting your growth. Here’s what you can look forward to as part of our team:
Competitive compensation package including annual performance bonus
26 days of annual leave, 8