About the job
About Us
Who We’re Looking For
As a Principal Data Scientist in our Delivery team, you will be an adept problem solver and technical guide, dedicated to devising practical solutions that empower clients in making informed engineering decisions. Your ability to grasp complex engineering principles across diverse industries, spearhead technical projects, and collaborate closely with clients (often working alongside them on-site) to integrate state-of-the-art AI models into effective tools is essential.
You have consistently addressed challenging problems requiring robust foundations in data-driven modeling and deep learning techniques, with extensive hands-on experience in probabilistic methods and predictive modeling. Your proficiency in Python, complemented by advanced skills in libraries like NumPy, SciPy, Pandas, TensorFlow, and PyTorch, is crucial, alongside a proven track record of architecting and deploying scalable, production-ready models and data pipelines.
With significant industry experience (post-Masters or PhD) in a commercial setting rather than a research environment, you are prepared to not only execute but also lead and mentor others. You are genuinely passionate about expanding your technical acumen and leadership capabilities, naturally taking ownership of intricate data science projects and steering teams toward success. You continuously refine the systems and solutions you engage with to ensure they are practical, impactful, and responsive to the evolving needs of our clients.
This Role
In this Principal role, you will collaborate closely with our Simulation Engineers, Machine Learning Engineers, and clients to comprehend and articulate the engineering and physics challenges we are addressing while offering technical leadership to your team.
You will lay the groundwork for successful, impactful solutions by:
- Leading the pre-processing and analysis of complex data to ready it for predictive modeling, establishing best practices and methodologies.

