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bp

Senior Data Scientist

London
Posted 1 day ago
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Entity: Technology

Job Family Group:

IT&S Group

Job Description:

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!

Responsibilities

  • Part of a cross-disciplinary team, working closely with other data scientists, data engineers, software engineers, data managers, and business partners.
  • Build scalable, re-usable, impactful data science products, usually containing statistical or machine learning algorithms, in collaboration with data engineers and software engineers.
  • Carry out data analyses to yield actionable business insights.
  • Adhere to and advocate for data science best practices (e.g. technical design, technical design review, unit testing, monitoring & alerting, checking in code, code review, documentation).
  • Present results to peers and senior management.
  • Actively contribute to improve developer velocity.
  • Mentor and lead a team of data scientists and data engineers.

Essential Qualifications

  • MSc or PhD degree or equivalent experience in a quantitative field.
  • Hands-on experience designing, planning, prototyping, productionizing, maintaining, and documenting reliable and scalable data science products in complex environments.
  • Applied knowledge of data science tools and approaches across all data lifecycle stages.
  • Thorough understanding of the underlying mathematical foundations of statistics and machine learning.
  • Development experience in one or more object-oriented programming languages (e.g. Python, Go, Java, C++).
  • Advanced SQL knowledge.
  • Knowledge of experimental design and analysis.
  • Customer-centric and pragmatic mindset. Focus on value delivery and swift execution, while maintaining attention to detail.
  • Strong stakeholder management and ability to lead large organizations through influence.
  • Continuous learning and improvement mindset.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

Desired

  • Experience with big data technologies (e.g. Hadoop, Hive, and Spark) is a plus.
  • No prior experience in the energy industry required.

Why join us?

At bp, we support our people to grow in a diverse and exciting environment. We believe that our team is strengthened by diversity. There are many aspects of our employees’ lives that are meaningful, so we offer benefits to enable your work to fit with your life. These benefits can include flexible working options, a generous paid parental leave policy, excellent retirement benefits, among others!

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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Travel Requirement

Up to 10% 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:

  • Commercial Acumen
  • Communication
  • Data Analysis
  • Data cleansing and transformation
  • Data domain knowledge
  • Data Integration
  • Data Management
  • Data Manipulation
  • Data Sourcing
  • Data strategy and governance
  • Data Structures and Algorithms (Inactive)
  • Data visualization and interpretation
  • Digital Security
  • Extract, transform and load
  • Group Problem Solving

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.

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Skills

Data science
Machine learning
Statistical analysis
Python
Go
Java
C++
SQL
Data engineering
Stakeholder management
Leadership
Experimental design
Data visualization
Software engineering
Mentoring
Technical design

Location

London, England, United Kingdom

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