Portable Power Fleet Analytics Engineer

Zenobē; Greater London; Hybrid; GBP 45,000 - 65,000; Full time

Benefits offered by this job

Up to 33% annual bonus for being优秀

25 days holiday

Private Medical Insurance

£1,500 training budget per year

EV Salary Sacrifice Scheme

Pension scheme 8% matched

Enhanced parental leave

Cash back health plan

Fertility Leave

Payroll giving

Job summary

Zenobē is hiring in London for a role focused on energy storage and EV project deployment. You will analyse and simulate battery operations, work with cross-functional teams, and develop automated reporting for KPI tracking.

The role supports growth in a fast-moving, sustainability-driven business with hybrid working options. The ideal candidate has STEM training, 1–3 years in modelling/simulation or software engineering, and strong Python/data skills.

Qualifications

• STEM qualification (e.g. engineering, applied physics, data science), 1st or 2-1
• Bachelor-level STEM degree required as baseline for modelling/analysis work.
• Strong foundation in math and physics relevant to battery tech and EVs.
• Experience with Python and scientific libraries for data analysis and modeling.
• Ability to communicate results clearly and present analyses to stakeholders.

Responsibilities

• Work with cross functional teams to optimise operation of mobile battery fleet via simulation and analysis.
• Collaborate with business development and engineering teams to assess electrification feasibility and perform cost-benefit analyses from spec to validated data.
• Develop automated reporting to meet internal and customer KPI needs.
• Own models such as battery operation on microgrid, generator efficiency, load profile simulation and energy consumption prediction.
• Support data pipelines from hardware data acquisition to processing and model training.
• Contribute to battery degradation insights and life management analyses.
• Engage with testing/operations to define instrumentation and testing plans for model development.
• Continuously improve analysis processes to drive efficiency and value.

Skills

Python & scientific libs

GIT

Linux

SQL

AWS

Mathematical & analytical

Communication & reporting

Excel

Education

STEM degree (engineering / applied physics / data science)

Master’s degree / PhD (desirable)

Tools

Linux

SQL

AWS

PySpark

GIT

Job description

Zenobē is hiring in London for a role focused on energy storage and EV project deployment. You will analyse and simulate battery operations, work with cross-functional teams, and develop automated reporting for KPI tracking.

The role supports growth in a fast-moving, sustainability-driven business with hybrid working options. The ideal candidate has STEM training, 1–3 years in modelling/simulation or software engineering, and strong Python/data skills.