Senior Data Scientist – Forecasting, Solna

PostNord Group; Solna kommun; On-site; SEK 600,000 - 800,000; Full time

Benefits offered by this job

Freedom to shape forecasting approaches

Central role in AI-driven initiatives

Cutting-edge analytics environment

Job summary

PostNord Group in Solna kommun is looking for a senior Data Scientist focused on forecasting. This role involves developing and maintaining forecasting models for logistics, optimizing existing solutions, and contributing to operational decision-making.

The ideal candidate will have extensive experience in machine learning and statistical methods, alongside strong programming skills in Python and SQL. The position offers a cutting-edge analytics environment and the opportunity to make a significant impact on the company's AI journey.

Qualifications

• Extensive experience as a Data Scientist with a focus on machine learning.
• Strong grounding in time-series modelling and statistical methods.
• Experience in logistics or operational forecasting is meritorious.

Responsibilities

• Develop and maintain forecasting models for logistics use cases.
• Optimize existing models or redesign as necessary.
• Communicate insights and trade-offs to stakeholders.

Skills

Machine learning

Forecasting

Data analysis

Python

SQL

Collaboration

Tools

Databricks

Azure

Job description

Forecasting sits at the heart of how PostNord runs - every volume we plan for, every route we optimize, every shift we staff starts with a forecast.

This is a senior individual-contributor role. The team already has a Tech Lead and a Product Owner, so you won't be carrying out the roadmap or line management. Instead, your seniority shows up in the quality of your models, the judgement behind your decisions, and your ability to lift the people around you.

Job duties

• Develop, improve, and maintain forecasting models for core logistics use cases - volumes, routes, staffing, and beyond.
• Evaluate what we already run and make pragmatic calls: optimize, replace, or redesign from the ground up.
• Get close to the operation - translate messy operational reality and business challenges into robust, scalable forecasting solutions.
• Ensure that the forecast holds up in production: data quality, feature engineering, and reconciling planning horizons and cadences.
• Collaborate with data engineers, domain teams, and the wider analytics community on our Databricks platform.
• Raise the bar around you - share knowledge, mentor colleagues, and help establish forecasting and model-lifecycle best practices.
• Communicate insight, trade-offs, and uncertainty clearly to both technical and non-technical stakeholders.
• Extensive experience as a Data Scientist with a strong focus on machine learning and forecasting, and a track record of models running in production.
• Strong grounding in time-series modelling, statistical methods, and modern ML approaches.
• Strong programming skills in Python and SQL.
• Experience with modern data platforms - Databricks is highly relevant.
• A genuine ability to connect technical solutions to business impact, and the maturity to work hands-on while helping shape technical direction alongside the Tech Lead and Product Owner.
• Strong collaboration and communication skills.

Meritorious experience

• Experience in logistics, supply chain, or other operational forecasting domains - though we equally value strong forecasting craft brought in from any data-heavy domain.
• Probabilistic forecasting, hierarchical forecasting, or optimization.
• MLOps practices and model lifecycle management.
• Scaling models in cloud environments, preferably Azure.
• Experimentation frameworks and model evaluation techniques.
• Mentoring or informally leading other data scientists.
• Comfort working in an engineering organization that leans heavily on AI tooling to move faster.

Language requirement

Fluent English in speech and writing. Proficiency in at least one Scandinavian language is meritorious.

Why this role matters

Better forecasts mean better decisions - fewer surprises in the network, smarter staffing, and capacity planned where it's needed. As a senior member of the team, you'll be a key reason our forecasting capability gets stronger, faster, and more trusted across the business.

Your profile

You're a senior, mature data scientist who pairs technical excellence with a strong business mindset. You're pragmatic - able to improve what exists and know when to start over. You're comfortable engaging directly with stakeholders, and you instinctively lift the people around you without needing a title to do it.

Most of all, you want to help build something stronger: a high-performing forecasting team that delivers real operational impact at scale.

We offer

• A cutting-edge analytics environment built on Databricks and Azure
• A central role in accelerating PostNord's AI- and data-driven journey
• The freedom to shape how forecasting is done at scale in a leading logistics company