Data Scientist

Job Title - Data Scientist/Machine Learning Engineer

Work location

You will work with

The 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 Refining and Bioenergy, 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 sophisticated 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.