Data Scientist

What you will do:

• Partner with business customers in-region to surface high-value data science and AI opportunities, framing the real problem behind the stated one and delivering solutions that get adopted, not shelved.

• Build rapid proofs-of-concept on live data, engineered for scale from day one, taking ownership through discovery, development, iteration and adoption.

• Apply data science, machine learning and AI techniques to deliver measurable outcomes — cost reduced, hours freed, safety improved, production protected.

• Work alongside AI tooling as a “virtual team member” to accelerate build, compressing months of development into days.

• Coach and enable business users on AI and data tooling in the flow of their work, so capability lands where the problems are and adoption sticks.

• Follow and champion good engineering, data science and AI governance practice, keeping solutions secure, well-documented and ready to hand off to production or sustain.

What you will bring (essential):

• Around 3+ years' hands-on experience delivering data science, machine learning or AI solutions in complex, fast-paced environments.

• A degree in a quantitative field (e.g. computer science, statistics, mathematics, engineering, physics) or equivalent practical experience.

• Strong programming skills in Python (and/or R) and SQL, with the ability to build and maintain data pipelines and models.

• A proven ability to translate ambiguous business problems into working, data-driven solutions and to communicate results clearly to non-technical audiences.

• A customer-centric, pragmatic mindset with a bias for rapid value delivery and end-to-end ownership.

• Strong communication and stakeholder skills — able to build trust and work autonomously when embedded with the business.

• A continuous-learning mindset, comfortable using AI tooling to accelerate delivery.

Nice to have:

• Experience with Palantir Foundry (Ontology, AIP) — preferred, but this can be built in role through the Foundry Fellowship and on-the-job coaching.

• Experience with AI-assisted coding tools (e.g. Claude Code, Copilot).

• Exposure to cloud platforms and modern MLOps / productionisation practice.

• Domain knowledge in an operational Upstream environment (production, operations, maintenance & reliability, wells, subsurface or procurement).

• No prior experience in the energy industry is required.

This role is open to Azerbaijani citizenship applications only.

Why join us:

You'll sit at the point where data science meets the operational reality of the business, with the autonomy to take a problem from idea to adopted solution in days. You'll be backed by AI tooling, a supportive central team and the Foundry Fellowship to grow your capability fast — and you'll see the value of your work land directly with the people who use it.

At bp, we provide an excellent working environment and employee 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.

We support our people to learn and grow in a diverse and exciting 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.

There are many aspects of our employees’ lives that are significant, so we offer benefits to enable your work to fit with your life. These benefits can include flexible working options, collaboration spaces in a modern office environment, and others benefits.

Reinvent your career as you help our business meet the challenges of the future.

Travel Requirement

Negligible travel should be expected with this role

Relocation Assistance:

This role is not eligible for relocation

Remote Type:

This position is a hybrid of office/remote working

Skills:

Agility core practices, Agility core practices, API and platform design, Cloud Platforms, Collaboration, Communication, Configuration management and release, Continuous deployment and release, Creating a high performing team, Digital Project Management, Documentation and knowledge sharing, Emerging technology monitoring, Facilitation, Information Security, Mentoring, Metrics definition and instrumentation, NoSql data modelling, Problem Solving, Relational Data Modeling, Risk Management, Scripting, Secure development, Service operations and resiliency, Software Design and Development, Solution Architecture {+ 6 more}

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Legal Disclaimer:

We are an equal opportunity employer. We do not discriminate on the basis of protected characteristics like race, religion, color, sex, national origin, sexual orientation, 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.