EV Data Science and Modelling Expert, Zenobē

• We are looking for an expert in data science and modelling to become the principal expert on these topics in the EV Analytics space, also taking a lead role in defining our coding standards and working practices with other tech teams
• The ideal candidate will be a technically-minded individual with a passion for applying Python-based modelling, data insight and analytical methods for problem solving and system optimisation in the EV sector
• With prior relevant experience, the individual will have confidence in working with autonomy, leading projects and spearheading areas of technical development whilst helping to shape the team and representing our technical expertise both internally and externally
• STEM degree (e.g. engineering, applied physics, data science)
• 5+ years of relevant professional experience working in a tech sector on data science, modelling, analytics and software topics, preferably in an EV or energy-adjacent domain
• 5+ years experience with Python (numpy, scipy, pandas, matplotlib, plotly, poetry, scikit-learn and other scientific libraries)
• Technical background with good understanding of the underlying physical principles related to electric vehicles and the energy sector
• A strong understanding of data science, machine learning, ML-Ops and modelling principles
• A working knowledge of data engineering, cloud platform and software development
• Strong DevOps skills and coding practices (Gitflow, version control, pull requests, environment management, Docker)
• Excellent mathematical, analytical and problem-solving ability
• Excellent professional communication, reporting and presentation skills
• Ability to lead technical areas and projects, becoming a pioneer in their field of expertise
• Experience with cloud providers and cloud infrastructure deployment (preferably AWS, CDK)

Desirable

• We are offering an exciting opportunity for outstanding candidates with a passion for fighting climate change to apply their analytical skills and industry expertise to the real-life commercial deployment of electric vehicle projects
• In our rapidly growing company, adaptable, highly motivated and talented individuals will be given significant responsibility
• We are looking for a Data Science & Modelling Expert with a background in Python-based modelling, software development and data science
• As part of the EV Analytics team, within the Commercial Analytics department, you will work closely with our software, data engineering and operational teams to successfully develop and deploy models enabling the virtual optimisation of EV fleet designs & operating strategy
• As an expert, you will be responsible for the functional architecture of our models, their connections, code efficiency and interfaces with the wider tech-stack
• This role will also represent coding excellence within the team and as such is responsible for defining coding standards, ways of working with other software teams and maintaining our position at the forefront of the tech sector
• The wider EV Analytics team are responsible for optimising all aspects of EV design, operations and performance (i.e. efficiency, charging strategy, commercial performance), of which our data-informed models and coding standards form the backbone
• Responsible for how our models exist and interface within the wider Zenobe tech stack, ensuring alignment with other software, data platforms and users
• Drive innovation in our numerical modelling and data analysis in-house offering
• Define coding standards, lead learning sessions & support the team in developing skills
• Act as a key liaison to align working practices and coding standards with other software, platform and data teams
• Work with large fleet datasets to train machine-learning models for predicting EV performance (e.g. EV energy consumption, battery degradation)
• Lead ML-Ops (model training & deployment pipelines) activities supported by our data engineering and platform teams
• Work with the wider EV Analytics team on the application of models to optimise EV fleets and their operation (e.g. technology selection, charging strategy, V2G)
• Utilise your optimisation approach expertise to develop optimisation algorithms for application in our models or support others in doing so
• Supporting other analytics colleagues with data insight and modelling projects, sharing expertise & developing data science frameworks
• Engage on data platform topics as a key data user and domain expert. Help define data requirements and challenge data engineering colleagues on data architecture proposals
• Continuously develop our modelling processes and coding standards to increase efficiency and add value to all areas of the business
• Champion software development good practices, produce high quality documentation and grow skills within the team