Senior Data Scientist

Aker Solutions; Bærum; On-site; NOK 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Pension & Insurance

Well-being programs

Remote work flexibility

Young Professional network

Job summary

Aker Solutions is seeking a Senior Data Scientist to join our team in Oslo or Stavanger. You will develop AI/ML solutions, collaborate with engineers and domain experts, and drive practical AI applications across engineering and operations.

You will translate complex concepts for diverse stakeholders, deploy production-grade models, and contribute to cross-disciplinary AI initiatives to enable better decisions and efficiency.

Qualifications

• Master's degree or higher in CS/DS/SE/math/statistics or related field.
• Experience designing, training, fine-tuning, evaluating and deploying LLMs and VLMs.
• Strong Python programming and building production-grade ML solutions with FastAPI/Flask/Streamlit.
• Hands-on ML frameworks: PyTorch, TensorFlow, scikit-learn; experiment tracking with TensorBoard/MLflow.
• Experience deploying AI solutions on Azure platforms (Azure AI Foundry/ML/OpenAI).
• Knowledge of MLOps: CI/CD, versioning, testing, monitoring, lifecycle management.
• Experience with Pandas, Spark, SQL; good data processing pipelines.
• Fluent written/spoken English; Norwegian language skills advantageous.

Responsibilities

• Develop, test and deploy AI, ML and data-driven solutions creating measurable business value.
• Explore opportunities, build proof-of-concepts; identify practical AI applications in engineering and operations.
• Collaborate with domain experts and stakeholders to translate challenges into scalable solutions.
• Maintain and monitor AI solutions for reliability, performance and user experience.
• Contribute to AI initiatives including predictive analytics, computer vision and emerging AI tech.
• Support knowledge sharing, promote best practices, strengthen AI capabilities across the org.

Skills

Python

LLMs & VLMs design

Production-grade ML

Cloud platforms (Azure)

MLOps (CI/CD)

Data processing (Pandas, Spark, SQL)

English communication

Norwegian language advantage

Education

Master's degree or higher in Computer Science/Data Science/Software Engineering/Mathematics/Statistics or related fields

Tools

FastAPI

Flask

Streamlit

PyTorch

TensorFlow

scikit-learn

TensorBoard

MLflow

Azure AI Foundry

Azure Machine Learning

Azure OpenAI

Pandas

Spark

SQL

Job description

Would you like to be part of a team seeking to transform the energy sector?

At Aker Solutions we are changemakers with nearly 200 years of experience, committed to helping the energy industry #PowerTheChange towards a net-zero future.

We are driven by collaboration and curiosity, building tomorrow’s technological solutions today!

Artificial intelligence is changing how we design, engineer and operate complex energy infrastructure. At Aker Solutions, we turn the possibilities of AI into real-world impact by integrating advanced technology across systems, disciplines and industrial workflows, where reliability, scale and measurable results matter.

We are now looking for a Senior Data Scientist to join our team in our Oslo or Stavanger offices.

Join us in developing practical AI solutions that help our people make better decisions, work more efficiently and solve some of the energy industry’s most complex challenges. You will become part of a collaborative environment where domain expertise, data and technology come together to build solutions designed for the real world.

What will you be doing?

You’ll be responsible for experimenting, developing and maintaining AI solutions, and providing support and improvements to users. Ideal candidates have a strong understanding of machine learning, excellent development skills and the ability to translate complex technical concepts into user-friendly language.

• Develop, test and deploy AI, machine learning and data-driven solutions that create measurable business value across Aker Solutions
• Explore new opportunities, build proof-of-concepts and help identify practical applications of AI in engineering, project execution and operational environments
• Collaborate with domain experts, developers and business stakeholders to translate challenges into scalable technical solutions
• Improve, maintain and monitor existing AI solutions to ensure reliability, performance and a positive user experience
• Contribute across a broad range of AI initiatives, including predictive analytics, computer vision and emerging AI technologies such as agentic AI
• Support knowledge sharing, promote best practices and help strengthen AI capabilities across the organisation

We think you should have:

• A master's degree or higher in Computer Science, Data Science, Software Engineering, Mathematics, Statistics or related fields
• Experience designing, training, fine-tuning, evaluating, and deploying Large Language Models (LLMs) and Vision Language Models (VLMs)
• Strong programming skills in Python and experience building production-grade solutions using frameworks such as FastAPI, Flask, and Streamlit
• Hands-on experience with modern machine learning frameworks including PyTorch, TensorFlow, scikit-learn, and experiment tracking tools such as TensorBoard and MLflow
• Experience developing and deploying AI solutions on cloud platforms such as Azure AI Foundry, Azure Machine Learning, or Azure OpenAI
• Knowledge of MLOps practices including CI/CD, model versioning, automated testing, monitoring, observability, and model lifecycle management
• Experience working with structured and unstructured data, feature engineering, data pipelines, and data processing frameworks such as Pandas, Spark, and SQL
• Fluent written and spoken English with the ability to communicate complex ideas clearly to both technical and non-technical stakeholders. Norwegian language skills are considered an advantage

What we offer:

At Aker Solutions we are committed to creating an enjoyable, rewarding, and engaging career where you can thrive. Our aim is to build a long-term mutually beneficial relationship with you, in order to motivate and retain your talent. We offer a variety of global and local initiatives which support your well-being and development, so that you feel valued throughout your career – professionally and personally.

Some of them are:

• Solid pension and insurance coverage: We take care of our employees by offering competitive pension, insurance, and health plans that ensure your well-being today and in the future.
• Well-being: Enjoy access to free fitness facilities, sport groups and equipment rental, and a variety of cabins for rent.
• Remote work flexibility: Work from home up to two days per week, offering you the convenience and work/life balance you need.
• Vibrant Young Professional network: Connect, grow and thrive in our international community, Young Solutioneers.

Diversity and Inclusion

At Aker Solutions, we foster an environment where everyone can thrive. Diversity fuels creativity and innovation, making it a key competitive advantage. We embrace all aspects of diversity, including disabilities, religion, sexual orientation, and more. We have experience with accommodating various needs and are always open to finding solutions that suit you. We encourage everyone to apply and are here to support you throughout the recruitment process.

This is Aker Solutions

Aker Solutions delivers integrated solutions, products and services to the global energy industry. We enable low-carbon oil and gas production and develop renewable solutions to meet future energy needs. By combining innovative digital solutions and predictable project execution we accelerate the transition to sustainable energy production. Aker Solutions employs approximately 11,800 people in 13 countries.

Please note: Background checks are conducted as part of our recruitment process on all final candidates for all roles. Furthermore, depending on the role, a risk assessment including an assessment of affiliation to high-risk countries where relevant may be carried out in accordance with applicable laws, regulations, clients and company requirements.