We are strengthening our Rig Equipment team and will hire Data Scientist - Industrial Data \\& Analytics

SLB Kristiansand; Kristiansand; On-site; NOK 850,000 - 1,050,000; Full time

Benefits offered by this job

Data Modeling

Development of data pipelines

Python (dataprogrammering)

Job summary

SLB Kristiansand søker Data Scientist - Industrial Data & Analytics til Rig Equipment-teamet. Rollen innebærer å integrere og strukturere utstyr- og driftsdata i Cognite Data Fusion (CDF) for analyse og optimalisering i et internasjonalt arbeidsmiljø.

Du har erfaring med data engineering/science, Python, og bygging av datapipelines i skybaserte miljøer, og kan omsette driftsbehov til robuste dataasseter og tjenester, med fokus på kvalitet, sikkerhet og skalerbarhet.

Qualifications

• Bachelor's or master's degree in data science, computer science, software engineering, engineering, applied mathematics, or a related discipline.
• Relevant practical experience may also be considered.
• Experience with data engineering, data science, or a combined full-stack data profile.
• Expected depth of experience will be adapted for junior and experienced applicants.
• Strong programming skills, preferably in Python, and the ability to develop production-quality data solutions.
• Experience building data pipelines and working with cloud-based data environments.
• Understanding of data modeling, transformation, contextualization, testing, and data-quality practices.
• Ability to communicate clearly and work effectively with both technical specialists and domain experts.
• Good written and spoken English.

Responsibilities

• Translate business, client, and operational needs into clear data, model, and solution requirements.
• Design, build, and maintain robust data pipelines that ingest equipment and operational data into Cognite Data Fusion and associated cloud services.
• Model, contextualize, and structure industrial data so it can be reliably used by analytics, applications, and engineering workflows.
• Ensure data quality, traceability, reliability, security, and scalability across the data lifecycle.
• Prepare and expose data for analytical and optimization use cases, including equipment-performance monitoring, anomaly detection, and operational optimization.
• Develop, evaluate, and operationalize analytical methods and models where appropriate to the use case.
• Collaborate with domain experts to identify valuable use cases and translate complex operational challenges into practical data solutions.
• Develop and integrate APIs, services, and software components needed to make data and analytical results accessible to users and applications.
• Contribute to architecture, coding standards, testing, documentation, deployment practices, and lifecycle support for industrial data solutions.
• Work closely with software developers, engineers, simulator teams, product stakeholders, and operational specialists.

Skills

Python

Data pipelines

Cloud environments

Data engineering

Data science

English

Team collaboration

Education

Bachelor's or Master's in data science / CS / engineering

Tools

Cognite Data Fusion

Job description

Fast stilling ∙ Heltid ∙ Kristiansand S

• Sektor Privat

Integrate and structure equipment and operational data in Cognite Data Fusion (CDF) to enable analytics and optimization use cases.

• Degree in data science, computer science, software engineering, or a related discipline
• Experience with data engineering, data science, or a combined full-stack data profile
• Strong programming skills, preferably in Python
• Experience building data pipelines and working with cloud-based data environments
• Good written and spoken English
• International working environment and career opportunities within SLB
• Work with industrial data from complex equipment and offshore drilling
• Competitive salary and benefits

We are strengthening our Rig Equipment team and will hire Data Scientist - Industrial Data & Analytics

We are a global Technology company, driving energy innovation for a balanced planet.

As the demand for energy increases, so does our need for motivated talent to meet the engineering and technical challenges of today’s energy industry.

Our company has numerous career opportunities that will let you prove your abilities from your first day, throughout your career, and beyond into the wider world of SLB.

By joining our team, you will be embarking on a unique journey with the world's leading provider of technology to the global energy industry.

We welcome applications from aspiring talents to seasonal experts alike and will do a full evaluation based on motivation, educational background, and experience.

Here at SLB, we are looking to strengthen our Sustaining development team with a new and motivated resource!

About the role

SLB is looking for a Data Scientist - Industrial Data & Analytics to join the Digital Engineering team within the Kristiansand Rig Equipment organization.

The role operates at the intersection of offshore drilling operations, industrial data platforms, cloud technology, and advanced analytics.

The position has a strong data-engineering and industrial-integration component.

You will integrate, contextualize, and structure equipment and operational data in Cognite Data Fusion (CDF), then enable analytics and optimization use cases that improve operational performance.

The role is suited to an experienced candidate, while strong junior applicants with relevant skills and potential are also encouraged to apply.

About you

You are a hands-on and solution-oriented data professional who is comfortable working with complex industrial systems and imperfect real-world data.

You combine sound engineering practices with strong data intuition and can turn operational needs into structured, scalable, and usable data assets and services.

Main responsibilities

Translate business, client, and operational needs into clear data, model, and solution requirements.

Design, build, and maintain robust data pipelines that ingest equipment and operational data into Cognite Data Fusion and associated cloud services.

Model, contextualize, and structure industrial data so it can be reliably used by analytics, applications, and engineering workflows.

Ensure data quality, traceability, reliability, security, and scalability across the data lifecycle.

Prepare and expose data for analytical and optimization use cases, including equipment-performance monitoring, anomaly detection, and operational optimization.

Develop, evaluate, and operationalize analytical methods and models where appropriate to the use case.

Collaborate with domain experts to identify valuable use cases and translate complex operational challenges into practical data solutions.

Develop and integrate APIs, services, and software components needed to make data and analytical results accessible to users and applications.

Contribute to architecture, coding standards, testing, documentation, deployment practices, and lifecycle support for industrial data solutions.

Work closely with software developers, engineers, simulator teams, product stakeholders, and operational specialists.

Qualifications and experience

Bachelor's or master's degree in data science, computer science, software engineering, engineering, applied mathematics, or a related discipline.

Relevant practical experience may also be considered.

Experience with data engineering, data science, or a combined full-stack data profile.

Expected depth of experience will be adapted for junior and experienced applicants.

Strong programming skills, preferably in Python, and the ability to develop production-quality data solutions.

Experience building data pipelines and working with cloud-based data environments.

Understanding of data modeling, transformation, contextualization, testing, and data-quality practices.

Ability to communicate clearly and work effectively with both technical specialists and domain experts.

Good written and spoken English.

We can offer

An international working environment and career opportunities throughout the entire SLB system.

A friendly work environment where personal development and learning is encouraged.

Work with industrial data generated by complex equipment and offshore drilling operations.

Shape data infrastructure and analytical services from source integration through operational use.

Collaborate with software, engineering, simulation, product, and operational specialists.

Take on responsibility and development opportunities matched to your experience level.

Great colleagues from all around the world.

Good working environment.

Competitive salary and benefits.

• Data Modeling
• Development of data pipelines
• Python (dataprogrammering)

As the demand for energy increases, so does our need for motivated talent to meet the engineering and technical challenges of today`s upstream oil and gas business.

SLB Kristiansand have numerous career opportunities that will let you prove your abilities from your first day and throughout your career, and beyond into the wider world of SLB.

SLB is the world`s leading supplier of technology, integrated project management and information solutions to customers working in the oil and gas industry worldwide.

Within SLB, the Cameron group provides a complete range of flow control equipment and services for onshore and offshore drilling rig systems, and production systems for conventional and unconventional applications, separation, processing, and treatment systems.