Halliburton

1 week ago

Data Integration Geoscientist (Abingdon, OXF, GB, OX14 4RW)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Work within a customer data integration team to advance subsurface interpretation and modelling. Apply geoscience domain knowledge (e.g., stratigraphy, sedimentology, petroleum geology) and build data workflows using Python, relational databases, and ETL pipelines with strong data cleaning. Collaborate across disciplines, support customer workflows and data types, and present customer-focused insights while staying current with AI/ML to drive innovation.

Location: United Kingdom

Workplace: Hybrid

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Key Responsibilities

•Work with the customer data integration team to support subsurface interpretation and modelling.
•Refine and enhance workflows that support customer workflows and customer data types.
•Stay current with AI/ML technology and geoscience advancements to drive innovation.
•Contribute to customer presentations focused on customer data and associated workflows.

Key Requirements

•Honors degree (2:1 or above) in geoscience.
•Strong understanding of geoscience domains such as stratigraphy, sedimentology, or petroleum geology.
•Experience working with subsurface datasets (e.g., wireline, seismic, biostratigraphy, geochemistry, rock properties, lithology).
•Strong Python programming skills and experience with relational databases.
•Experience with ETL pipelines and data cleaning, with familiarity of AI/ML for geoscience interpretation.

Experience:Energy sector

Education:Bachelor's in geoscience

Skills:CommunicationTeamwork

Tech Stack:PythonRelational DatabasesETLAI/MLData cleaning

Company Brief

Halliburton

Provides oilfield services and products to the energy industry, including drilling, evaluation, completion, production and well intervention technologies, as well as engineering and project management solutions for oil and gas operators worldwide.

Industry: Energy Services

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Houston, United States

Founded: 1919

Website LinkedIn

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Halliburton

1 week ago

Data Integration Geoscientist (Abingdon, OXF, GB, OX14 4RW)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Location: United Kingdom

Workplace: Hybrid

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Key Responsibilities

•Work with the customer data integration team to support subsurface interpretation and modelling.
•Refine and enhance workflows that support customer workflows and customer data types.
•Stay current with AI/ML technology and geoscience advancements to drive innovation.
•Contribute to customer presentations focused on customer data and associated workflows.

Key Requirements

•Honors degree (2:1 or above) in geoscience.
•Strong understanding of geoscience domains such as stratigraphy, sedimentology, or petroleum geology.
•Experience working with subsurface datasets (e.g., wireline, seismic, biostratigraphy, geochemistry, rock properties, lithology).
•Strong Python programming skills and experience with relational databases.
•Experience with ETL pipelines and data cleaning, with familiarity of AI/ML for geoscience interpretation.

Experience:Energy sector

Education:Bachelor's in geoscience

Skills:CommunicationTeamwork

Tech Stack:PythonRelational DatabasesETLAI/MLData cleaning

Company Brief

Halliburton

Industry: Energy Services

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Houston, United States

Founded: 1919

Website LinkedIn