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🟢 Actively Hiring · Posted 25d ago ⏳ Closes in 66 days UK Corridor 🛡️ UK Work Eligibility 🏢 Company - Public

Data Scientist

🏢 bp • 📍 London, England • 🕒 Sep 14, 2026
Salary Range
£36,000 - £69,825
£3,000 - £5,819 / mo

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Corporate Registration Verified UK Companies House registration standing active
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Prevailing Wage Benchmark UK National Minimum Wage & Equality Act 2010 aligned
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Zero-Intermediary Direct Pipeline Direct candidate ATS submission. 100% free with zero recruitment charges.
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Corridor Right-to-Work Match UK Work Eligibility

Transatlantic Cost of Living & Purchasing Power Benchmark

Verified Analytics
Location Base
London, England
Tier-1 UK Economic Zone
Est. Take-Home Pay
68% - 74% (After PAYE & NI)
Single tax filer baseline
Transatlantic Parity
1.0 GBP ≈ $1.28 USD Living Standard
Direct corporate benchmark
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Position Overview & Specifications

Job Profile Summary

Responsible for supporting the delivery of business analysis and consulting processes and procedures for the defined specialism using basic technical capabilities, developing working relationships to provide support with queries, issues and ad-hoc requests and assisting with quality assurance services. Specialisms: Business Analysis; Data Management and Data Science; Digital Innovation.

Job Advert

The Data Analytics as a Service (da3s) team within Innovation & Engineering are looking for a data scientist to work on some of the important challenges bp is facing today. We operate as a consultancy within bp and work on a number of interesting problem spaces from the traditional oil and gas business through to renewables and our net-zero agenda, leveraging tools ranging from computer vision to timeseries forecasting.

Innovation & engineering

Join us in creating, growing, and delivering innovation at pace, enabling us to thrive while transitioning to a net zero world! All without compromising our operational risk management.

Working with us, you can do this by:

  • Deploying our integrated capability and standards in service of our net zero and safety ambitions
  • Driving our digital transformation and pioneering new business models
  • Collaborating to deliver competitive customer-focused energy solutions.
  • Originating, scaling and commercializing innovative ideas, and creating ground-breaking new businesses from them
  • Protecting us by assuring management of our greatest physical and digital risks

Because together we are:

  • Originators, builders, guardians and disruptors
  • Engineers, technologists, scientists and entrepreneurs
  • Empathetic, curious, creative and inclusive

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 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 others.

Qualifications

  • 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 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.
  • Experience with big data technologies (e.g. Hadoop, Hive, and Spark) is a plus.
  • Knowledge of experimental design and analysis is a plus.
  • 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.
  • MSc or PhD degree in a quantitative field.
  • No prior experience in the energy industry required.

Legal Disclaimer :

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic background, neurodiversity/neurocognitive functioning, veteran status or disability status. 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 accommodations.

Entity

Innovation & Engineering

Job Family Group

IT&S Group

Relocation available

No

Travel required

No

Country

United Kingdom

About BP

INNOVATION & ENGINEERING

Join us in creating, growing, and delivering innovation at pace, enabling us to thrive while transitioning to a net zero ‎world. All without compromising our operational risk management.

Working with us, you can do this by:

  • deploying our integrated capability and standards in service of our net zero and ‎safety ambitions
  • driving our digital transformation and pioneering new business models
  • collaborating to deliver competitive customer-focused energy solutions
  • originating, scaling and commercialising innovative ideas, and creating ground-breaking new ‎businesses from them
  • protecting us by assuring management of our greatest physical and digital risks

Because together we are:

  • Originators, builders, guardians and disruptors
  • Engineers, technologists, scientists and entrepreneurs‎
  • Empathetic, curious, creative and inclusive

Experience Level

Intermediate

Legal disclaimer

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic background, neurodiversity/neurocognitive functioning, veteran status or disability status. 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 accommodations.

Candidate Selection & Onboarding Process

1

Application & Resume Screening

Submit your tailored CV/Resume directly to the talent acquisition portal.

2

Technical & Competency Interviews

Virtual interviews with the hiring manager and multidisciplinary team.

3

Formal Offer & Benefits Negotiation

Written agreement outlining compensation, equity, retirement vesting, and relocation allowances.

4

Onboarding & Corporate Integration

Equipment provisioning, team orientation, and commencement of duties.

United Kingdom Right to Work & Skilled Worker Visa Guide

Corridor Intelligence

Employment in the United Kingdom requires legal Right to Work verified under the Home Office Points-Based Immigration System:

🇬🇧 Skilled Worker Visa (Tier 2)

Sponsoring employers must hold an active Home Office A-rated Sponsor License and assign a valid Certificate of Sponsorship (CoS). Role must meet the general minimum salary threshold (£38,700) or occupation going rate.

🏛️ Settlement (ILR) Pathway

Continuous employment under Skilled Worker status establishes eligibility for Indefinite Leave to Remain (ILR) after 5 continuous years, leading to British Citizenship.

⚖️ Official regulatory reference: UK Visas and Immigration (UKVI) & Home Office Sponsor Register.

Candidate Preparation Blueprint: Energy & Utilities

Recruitment Insights

Based on transatlantic hiring benchmarks for Data Scientist roles across bp's corporate sector, successful applicants typically excel across three core dimensions:

1. Domain Competency

Demonstrated portfolio evidence, architecture/system design case studies, or validated professional certifications directly applicable to Energy & Utilities.

2. Behavioral & Leadership

STAR method competency responses highlighting cross-functional leadership, conflict resolution, and delivering measurable enterprise ROI under tight timelines.

3. Compensation Alignment

Total compensation expectation aligned within the benchmarked £36,000 - £69,825 bracket, including retirement vesting and health parity.

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Hiring Organization
bp

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