Senior Data Scientist

Are you a passionate Data Scientist interested to work in oil and gas sector ?

Are you seeking a challenging opportunity for your career growth ?

Partner with the best

Baker Hughes stands as a leading global energy‑technology company, delivering innovative solutions that make energy safer, cleaner, and more efficient across the entire value chain. Operating in more than 120 countries, the company blends deep industrial expertise with advanced engineering and digital technologies to support energy production, transformation, and decarbonization. With over a century of heritage, Baker Hughes partners with customers in oil and gas, industrial sectors, and emerging energy markets to accelerate progress toward a more sustainable energy future.

Fuel your passion

As a Senior Data Scientist, you will be part of a cross‑disciplinary technology development team focused on developing 2D and 3D image processing and measurement algorithms for remote visual inspection applications. The role is research‑ and engineering‑heavy, with primary focus on lower TRL development (TRL 3–6), progressing concepts from feasibility through prototype and early productization, with some engagement outside this range.

You will work closely with software, systems, and hardware engineers, product management, and internal and external customers to develop robust, scalable algorithmic solutions that can transition into commercially viable products.

As a Senior Data Scientist, you be responsible for a team that:

• Develop 2D and 3D image processing, computer vision, and measurement algorithms to support remote visual inspection systems.
• Lead and contribute to lower‑TRL technical development (TRL 3–6), including feasibility studies, algorithm prototyping, and performance characterization.

Apply systems engineering principles to ensure algorithms integrate effectively into larger inspection systems and workflows.

Work alongside software engineers to transition algorithms into deployable, production‑ready solutions.

Perform exploratory, targeted, and validation data analysis using appropriate statistical and analytical methods.

Collaborate with data and software engineers on data quality assessment, data preparation, and algorithm validation.

Plan and manage your own technical tasks and project work, balancing multiple priorities with limited oversight.

Generate technical documentation, reports, and annotated code to document development work and results.

Communicate results, trade‑offs, and recommendations clearly to technical teams, product leadership, and customers.

Engage directly with internal and external customers to understand use cases, constraints, and performance needs.

To be successful in this role, you will:

• Have a Bachelor’s degree in Mathematics, Physics, Computer Science, Engineering, or a related STEM field (Master’s degree preferred).
• 5+ years of professional experience in data science, applied mathematics, image processing, or related technical roles.
• Demonstrated experience developing and validating algorithms intended for real‑world engineering systems.
• Strong fundamentals in applied mathematics, statistics, and algorithm development.
• Strong proficiency in one or more programming or analytical languages (e.g., Python, C++, MATLAB, R).
• Experience with 2D/3D image processing, computer vision, or measurement algorithms.
• Demonstrated ability to work across research and applied engineering environments.
• Ability to translate ambiguous customer or system needs into clear technical approaches.
• Experience working across teams and disciplines in a product‑oriented environment.
• Awareness of data management, version control, and reproducible development practices.

Awareness of real‑time or near‑real‑time analytics and algorithm deployment constraints.

Familiarity with system‑level performance considerations (accuracy, latency, robustness).

Work in a way that works for you

We recognize that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too. In this role, we can offer the following flexible working patterns:

One of our core values as a business is collaboration and, as such, whilst flexible work options are available, we believe there is a great benefit of having our teams co-located in one of our many office in the United Kingdom.

Working with us

Our people are at the heart of what we do at Baker Hughes. We know we are better when all of our people are developed, engaged and able to bring their whole authentic selves to work. We invest in the health and well-being of our workforce, train and reward talent and develop leaders at all levels to bring out the best in each other.

Working for you

Our inventions have revolutionized energy for over a century. But to keep going forward tomorrow, we know we have to push the boundaries today. We prioritize rewarding those who embrace change with a package that reflects how much we value their input. Join us, and you can expect:

• Contemporary work-life balance policies and wellbeing activities
• Comprehensive private medical care options
• Safety net of life insurance and disability programs
• Tailored financial programs
• Additional elected or voluntary benefits
  
  
  

The Baker Hughes internal title for this role is: Digital Technology Specialist - Data Science

About Us:

We are an energy technology company that provides solutions to energy and industrial customers worldwide. Built on a century of experience and conducting business in over 120 countries, our innovative technologies and services are taking energy forward – making it safer, cleaner and more efficient for people and the planet.

Join Us:

Are you seeking an opportunity to make a real difference in a company that values innovation and progress? Join us and become part of a team of people who will challenge and inspire you! Let’s come together and take energy forward.

Baker Hughes Company is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

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