Senior Data Scientist

Job Title: Senior Data Scientist
Location: Hybrid (Central London)-Full Time
Job Type: Permanent

About the Client:

Our client is at the forefront of efforts to decarbonize medium- and heavy-duty road freight through their Electric-Trucking-as-a-Service model: providing battery electric truck leasing, maintenance, and charging services bundled into a single package. Supported by their technology platform, Cloud Engine, they assist customers at every stage of their transition to electrify their fleets, enabling them to adopt sustainable transportation solutions confidently.

Job Description:

As a Senior Data Scientist, you'll play a pivotal role as one of the initial members of a skilled yet compact team. Operating within a dynamic startup setting, you'll have abundant chances to innovate new models, techniques, and product functionalities, though you must be at ease navigating uncertainty. If you're a flexible, practical data scientist driven to significantly reduce transport emissions in the UK and Europe, this opportunity is for you.

Roles & Responsibilities:

Analyzing historical fleet operations data to create precise fleet transition plans in collaboration with the Head of Software and COO.

Creating robust and reusable data science pipelines and tools to facilitate the scalability of fleet transition planning services. Enhancing sector knowledge through customer interactions and industry trends to amplify the real world impact of your work.

Improving the accuracy and applicability of proprietary electric trucking operation models.

Prototyping and implementing new capabilities for optimal planning of electric truck operations and charging.

Incorporating third-party services into solutions when necessary, balancing build vs buy decisions.

Collaborating closely with software engineers to oversee the lifecycle of data science solutions from concept to deployment and maintenance.

Skills:

Strong foundational knowledge in mathematics and software, preferably with a background in physical engineering (e.g., electrical power/energy, mechanics).

At least 2 years of professional experience working with Python.

Proficiency in Python, encompassing common data science libraries like pandas, NumPy, SciPy, and scikit-learn.

Familiarity with standard software development tools and methodologies such as Git, CI/CD, and JIRA.

Experience in numerical optimization, including nonlinear and mixed-integer programming, utilizing libraries like CVXPY or JuMP.

Desirable experience includes working with physics-based numerical simulations (ODEs).