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Data Scientist/ Machine Learning Engineer

bp

2 - 5 years

Pune

Posted: 03/06/2025

Job Description

Job summary

Entity:

Technology


Job Family Group:

IT&S Group


Job Description:

Job Title - Data Scientist/Machine Learning Engineer
Work location Pune
Shift Time - 12.00 PM to 9.00 PM (IST)

You will work with
The AppSim team is responsible for driving application simplification across the organization, focusing on reducing operational complexity and technical debt. They work closely with the wider digital delivery and digital core teams to identify and pursue simplification opportunities. The team collaborates with business partners to align simplification efforts with broader transformation goals and drive measurable improvements in operational efficiency.

Let me tell you about the role
A data scientist applies scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data. Their key responsibilities include gathering and analyzing large sets of data, using machine learning algorithms, statistical models, and data processing techniques to predict future trends and provide actionable insights. A machine learning engineer designs and develops artificial intelligence (AI) systems that can learn and make decisions autonomously. Their key responsibilities include creating and optimizing machine learning models, developing algorithms that enable machines to perform tasks without explicit programming, and working with large datasets to train these models. They collaborate with data scientists, software engineers, and domain authorities to implement machine learning solutions that address specific business needs. Additionally, machine learning engineers are responsible for ensuring the scalability and efficiency of machine learning systems, continuously improving model performance through rigorous testing and validation, and staying updated with the latest advancements in the field to integrate pioneering techniques into their work.

What you will deliver
As part of a cross-disciplinary team in AppSim, you will collaborate closely with data scientists, data engineers, software engineers, data managers, and business partners to build scalable, reusable data science products that drive application simplification. You will apply statistical and machine learning algorithms, carry out data analyses to provide actionable business insights, and drive best practices in technical design, unit testing, code review, and documentation. Additionally, you will present your results to peers and senior management, actively contribute to improving developer velocity, and mentor others within the team.

What you will need to be successful (experience and qualifications)
Essential
  • MSc or PhD degree in a quantitative field or equivalent.
  • Hands-on experience crafting, planning, prototyping, productionizing, maintaining and detailing reliable and scalable data science products in sophisticatedin environments.
  • Applied knowledge in a team (if not leading) of data science tools and approaches across all data lifecycle stages.
  • Detailed understanding of underlying mathematical foundations of statistics and machine learning.
  • Development experience in one or more object-oriented programming languages (e.g. Python, Go, Java, C++)
  • Basic SQL knowledge.
  • Customer-centric and pragmatic approach. Focus on value delivery and swift execution, while maintaining attention to detail.
  • Strong customer management and ability to lead large organizations through influence.
  • Continuous learning and improvement attitude.
Desired
  • Experience with big data technologies (e.g. Hadoop, Hive, and Spark) is a plus.
  • Knowledge of experimental design and analysis is a plus.
  • No prior experience in the energy industry required.

About bp
Our purpose is to deliver energy to the world, today and tomorrow. For over 100 years, bp has focused on discovering, developing, and producing oil and gas in the nations where we operate. We are one of the few companies globally that can provide governments and customers with an integrated energy offering. Delivering our strategy sustainably is fundamental to achieving our ambition to be a net zero company by 2050 or sooner!
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.


Travel Requirement

Up to 10% travel should be expected with this role


Relocation Assistance:

This role is eligible for relocation within country


Remote Type:

This position is a hybrid of office/remote working


Skills:

AI Systems, Business Acumen, Data Cleansing, Data Preparation, Machine Learning, Python Automation, Solutions Design, SQL Databases


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.

About Company

BP (British Petroleum) is a global energy company headquartered in London, United Kingdom, operating in over 70 countries. It is one of the world's leading integrated oil and gas companies, involved in every aspect of the energy sector—from exploration and production to refining, distribution, and marketing of oil and natural gas. BP is also a key player in the transition to cleaner energy, actively investing in renewable energy sources such as solar, wind, and bioenergy, as well as advanced mobility solutions like electric vehicle charging. Through its “reimagining energy” strategy, BP aims to become a net-zero company by 2050 or sooner. The company emphasizes innovation, sustainability, and safety, striving to deliver energy that is not only reliable and affordable but also increasingly clean.

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