Associate Data Scientist

Job title:

Associate Data Scientist

Company

Unit4

Job description

Company DescriptionWe are in Business for People, empowering people in service organizations with innovative Enterprise and Business software solutions. We’ve innovated and taken a new approach to delivering ERP that works for people. Self-driving, adaptive and intuitive software that is changing the way people work. Our solutions empower people and deliver a better people experience so people can spend time on meaningful high value work they live for.Read more on about how we transform work and how people feel about it, so our customers and their people can thrive.Job DescriptionAs a Data Scientist at Unit4, you will design, develop, deploy, and maintain machine learning models that drive innovation and efficiency in our software solutions. You will work closely with data engineers, machine learning engineers, software developers, and product managers to ensure our models are scalable, robust, ethically designed, and aligned with business goals.QualificationsKey Responsibilities:

• Collaborate with software engineers and product managers, to support the design and integration of responsible ML solutions into company products.
• Design, develop, deploy, and maintain machine learning models to solve diverse business challenges.
• Use and set requirements of ML workflows for continuous integration and deployment.
• Ensure reproducibility, performance, reliability, scalability, and security of ML models in production.
• Implement responsible AI principles to ensure fairness, accountability, and transparency in AI solutions.
• Stay up-to-date with the latest trends and advancements in machine learning.

Requirements:

• Bachelor’s degree in Computer Science, Mathematics, Physics or a related field.
• Master’s degree in Data Science, AI, or a related field is desirable.
• Strong understanding and experience in Machine Learning.
• Proficiency in Python and experience with ML frameworks.
• Familiarity with MLOps.
• Familiarity with foundational concepts and frameworks in LLMs and autonomous agents is a plus.
• Experience with Azure, ML lifecycle management tools (Azure Machine Learning Studio, MLflow, Databricks, etc.), and containerization tools (Kubernetes, Docker) is a plus.
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills.
• Ability to work in an agile and fast-paced development environment.

Additional InformationJoin Unit4 and be part of one of the most exciting journeys in the cloud ERP software space. We’re a fast-paced, high-growth, people-centric company, delivering enterprise software for a great people experience, and offering our own people a host of benefits and development opportunities. Grow with us At Unit4, we offer:

• a culture built on trust – giving you the freedom and autonomy to be successful;
• balance – with our uncapped time off policy, remote working opportunities and Global Wellbeing Days when the whole company can switch off and prioritize well-being;
• talented colleagues, role models and mentors – work, learn and be inspired by some of the best talent in the software industry;
• a commitment to sustainability – with initiatives such as our Act4Good program, a way for everyone at Unit4 to come together and engage in actions that benefit society and the planet;
• a safe and inclusive working environment – supported by our Employee Resource Groups, which are open to all and include Women at Unit4, Pride at Unit4, Mental Health and Access at Unit4, and People of Color at Unit4.

This role may require security clearance required for customer projects and access to sensitive (customer) data. That means that after you have accepted our offer, we could ask for background checks. Subject to applicable local laws, such security checks may require disclosure of personal information including criminal record declaration, right to work, personal identification and work history. No worries though – we’ll handle it according to local privacy laws and keep your info safe. Questions? Feel free to reach out!

Expected salary

Location

Oslo

Job date

Wed, 20 Aug 2025 07:29:20 GMT

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