Data Scientist - Electric Vehicle Charging Network Optimization

bp launchpad • India
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AI Summary

Join bp pulse as a Data Scientist to contribute to the sustainability of our planet by optimizing electric vehicle charging networks. You will gather, preprocess, and clean data to uncover trends, patterns, and insights. Develop predictive models using machine learning and Python programming to improve site identification, setup, and commercial performance.

Key Highlights
Contribute to the sustainability of our planet by optimizing electric vehicle charging networks
Gather, preprocess, and clean data to uncover trends, patterns, and insights
Develop predictive models using machine learning and Python programming
Technical Skills Required
Python SQL Machine learning Cloud computing AWS
Benefits & Perks
Excellent work-life balance
Tremendous learning and development opportunities
Life and health insurance
Medical care package

Job Description


Full time

Data Scientist

India, Pune

2026-01-20

1 day ago

IT&S

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Full time

RQ100245

Data Scientist

India, Pune

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Job category

IT&S

Experience level

Intermediate

Relocation available

This role is eligible for relocation within country

Job type

Professionals

Travel required

Negligible travel should be expected with this role

Job code

RQ100245

Job category

IT&S

Job type

Professionals

Experience level

Intermediate

Travel required

Negligible travel should be expected with this role

Relocation available

This role is eligible for relocation within country

Job code

RQ100245

Job Description

Job Description

Do you want to make a real contribution to the sustainability of our planet? Electric vehicles are having a huge impact on the energy transition, join bp pulse and you can be part of that impact!

bp pulse is one of the fastest growing EV charging networks globally, and we need YOU to help us on our adventure to get to an Electric Future.

We are seeking a motivated and detail-oriented Data Scientist to join our dynamic team, who will play and integral part in our continued growth. Improving how we use data and advanced analytics to optimise our sites identification, setup and commercial performance. The ideal candidate will have a strong foundation in data analysis, statistical methods, machine learning and Python programming. This role offers an excellent opportunity to apply your skills to real-world problems.

Shift hours - 12.30 PM IST to 9.30 PM IST

Role Summary

  • Data Collection and Cleaning: Gather, preprocess, and clean data from various sources to ensure data quality and integrity.
  • Data Analysis: Perform exploratory data analysis to uncover trends, patterns, insights.
  • Model Development: Developing, testing, and validating predictive models using machine learning.
  • Python Programming: Write efficient and maintainable Python code for data manipulation, analysis, and model implementation.
  • Visualization: Create clear and informative data visualizations to communicate findings to stakeholders.
  • Collaboration: Work closely with cross-functional teams to understand business requirements and deliver data-driven solutions.
  • Documentation: Maintain thorough documentation of methodologies, processes, and code.

Qualifications

  • Education: Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.

Technical Skills

  • Strong SQL & Python knowledge and a good understanding of cloud computing and cloud deployment (ideally AWS)
  • Analytical Skills: Strong problem-solving abilities and attention to detail and eager to learn.
  • Communication Skills: Excellent verbal and written communication skills.
  • Team Player: Ability to work effectively in a collaborative team environment.

Preferred Qualifications

  • Minimum 3 years of experience in data science, analysis or engineering with proven delivery of ML projects.
  • Knowledge of machine learning algorithms and their practical applications.
  • experience with customer or geospatial data is a plus. Experience with time series forecasting or causal models is plus as well.

Why Join our team?

At bp, we support our people to learn and grow in a diverse and challenging environment. We believe that our team is strengthened by diversity. We are committed to crafting an inclusive environment in which everyone is respected and treated fairly. Diversity Statement: At bp, we provide an excellent environment and benefits such as an open and inclusive culture, a great work-life balance, tremendous learning and development opportunities to craft your career path, life and health insurance, medical care package and many others!

Diversity sits at the heart of our company and as an equal opportunity employer, we stay true to our mission by ensuring that our place can be anyone's place. We do not discriminate based on race, religion, colour, national origin, gender and gender identity, sexual orientation, age, marital status, veteran status or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application and interview process, to perform crucial job functions, and to receive other benefits and privileges of employment.

Legal Disclaimer

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us.

If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

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Full time

RQ100245

Data Scientist

India, Pune

Save job icon

Save Job

You have successfully copied the job URL to clipboard!

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