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Zenobē

Portable Power Analyst – 6 Month FTC

Zenobē

. Optimise the operation of Zenobē’s mobile battery fleet through simulation and analysis .

Posted 11/2/2026contractLondon • United KingdomJuniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in battery technology and electric vehicles, with strong capabilities in simulation, analysis, and data processing. Proficient in Python and various scientific libraries, with a focus on optimizing battery operations and developing automated reporting for performance metrics.

Highest-signal resume keywords
Battery Technology ExpertisePython ProgrammingSimulation And AnalysisData Processing And PipelinesCost-Benefit Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
SimulationAnalysisCost-Benefit AnalysisBattery Degradation InsightsEnergy Consumption PredictionMathematical AbilityAnalytical AbilityProblem-SolvingExcel ProficiencyModel Training
Soft Skills
Professional CommunicationReporting SkillsPresentation Skills
Tools & Technologies
PythonNumpyPandasMatplotlibPlotlyGitAWSSQLLinuxPySpark
Certifications & Qualifications
STEM QualificationMaster's DegreePhD
Industry Keywords
Electric VehiclesEV ChargingEnergy SectorMicrogridsSustainability Principles

Tech Stack

Tools & technologies
AWSCloudLinuxNumpyPandasPySparkPythonScikit-LearnSQL

About the role

Key responsibilities & impact
  • Optimise the operation of Zenobē’s mobile battery fleet through simulation and analysis
  • Work with business development, electrical design teams and customers to simulate electrification feasibility of portable power systems
  • Conduct cost-benefit analyses from system specification through validation of performance using operating data
  • Develop automated reporting capabilities for internal and customer KPI requirements
  • Own models for battery operation on microgrids, generator efficiency and optimisation, load profile simulation, energy consumption prediction and cost prediction
  • Contribute to data pipelines from hardware data acquisition through processing and model training
  • Develop battery degradation insights and battery life management
  • Devise instrumentation requirements and testing plans with testing and operations teams
  • Continuously improve analysis processes
  • Collaborate with data, sales, engineering, operational and cross-functional teams
  • Integrate health, safety, wellbeing and sustainability principles into daily responsibilities

Requirements

What you’ll need
  • STEM qualification (e.g. engineering, applied physics, data science)
  • 1st or 2-1
  • 1–3 years previous experience in a modelling, simulation, analysis or software engineering role
  • Technical background with good understanding of battery technology, electric vehicles, EV charging and the energy sector
  • Python experience, including numpy, streamlit, scipy, pandas, matplotlib, plotly, poetry, GIT, scikit-learn and other scientific libraries
  • Excellent mathematical, analytical and problem-solving ability
  • Excellent professional communication, reporting and presentation skills
  • Excel proficiency
  • Desirable: additional software engineering, cloud platform and data skills, including Linux, SQL, AWS (S3, CDK, Lambda, Glue, Athena) and PySpark
  • Desirable: Master’s degree, PhD or other additional qualification
  • Applicants must already have the right to work; visa sponsorship or financial support toward visa-related costs, including ILR, is unavailable

Benefits

Comp & perks
  • Up to 33% annual bonus
  • 25 days holiday, increasing with length of service up to 30 days, plus bank holidays
  • Private Medical Insurance
  • £1,500 training budget per year
  • EV Salary Sacrifice Scheme
  • Pension scheme, up to 8% matched contributions
  • Enhanced parental leave
  • Cash back health plan
  • Fertility Leave
  • Payroll giving and charitable donations
  • Flexible working options, including part-time, flexitime and hybrid working