
PostNord Group AB · Solna
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. We're now s...
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. We're now strengthening our Forecasting team and looking for a Senior Data Scientist to be a central pillar in building something stronger.
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.
Join us
The Technology Acceleration area within Group IT is responsible for establishing the future IT landscape - the foundation for PostNord's continued AI- and data-driven journey. In the Forecasting team you'll combine deep machine learning craft with real business understanding to deliver forecasts that operations actually trust and act on, across the logistics domain.
You won't just build models. You'll help decide where forecasting creates the most value, what's worth improving, and what's better rebuilt from scratch.
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
Apply
Welcome with your application! We encourage you to apply as soon as possible, as we review applications on an ongoing basis. Please note that due to the summer holiday period, the earliest feedback will be provided in mid-August.
PostNord offers communications and logistics solutions to, from and within the Nordic region. With our expertise and a unique distribution network, we are developing the basis for tomorrow’s communication, e-commerce, distribution and logistics.
⚡️ What We Do Flower is Flexible Power. We are a next-gen energy company leveraging AI and machine learning to make renewable energy stable and always available – even when the sun isn’t shining and the wind isn’t blowing. Through smart optimization and trading of energy assets like wind and solar farms, battery systems, and EV chargers, we make renewable energy reliable and predictable, leading the charge towards the energy system of tomorrow. 🌟Who We Are Tech company at heart. Purpose-driven at core. Flower consists of a diverse group of innovative individuals with a strong desire to improve the state of the world. At Flower, we believe trust, collaboration and diversity are essential to not only create an inclusive work environment, but also drive career growth. By embracing varying perspectives, we allow creativity and progress to flourish. To accelerate towards our goal of becoming the pioneering force powering the energy system of tomorrow, we are now looking for a passionate and skilled Senior Data Scientist to join us! 👩💻 About The Role: As a Senior Data Scientist, you will shape the foundation of Flower’s short-term forecasting capabilities - powering the models that directly drive our daily trading decisions. You will be part of a small, highly skilled team operating at the intersection of data science, energy systems, and close-to-real-time market dynamics. You will own the full lifecycle of your models - from idea to production - working closely with Data Engineers, Machine Learning Engineers, and Energy Market Experts to ensure our forecasting stack runs smoothly and is continuously improving. This is a hands-on role focussed on time-series modelling, rapid experimentation, and the ability to translate data into high-impact operational decisions. What You’ll Do: Build & maintain short term operational forecasting models for energy volumes & prices that drive our trading decisions on a day-to-day basis Build time series models to understand and explain recurring patterns across different measurements, products and regions to distill signals as features for your next model Prototype quickly: iterate on simple models, validate rigorously, and scale what works in a dynamic market environment Own the full model lifecycle: EDA, feature engineering, model development, validation, deployment and continuous evaluation, supported by our team of DEs, MLEs & Energy Market Experts Write your models in Python, version your code in Git, use CI/CD to ensure full reproducibility Partner with DEs to evaluate and integrate new data sources (weather, grid conditions, market signals) Collaborate & mentor across other data scientists, quants and engineers. Who You Are: Master’s or PhD in Operations Research, Computer Science, Industrial Engineering, Applied Mathematics, Engineering Physics, or a related quantitative field. 5+ years building and deploying ML/time-series models in production Strong Python + SQL and no stranger to the command line; comfortable writing clean, maintainable, production-ready code Deep understanding of time-series forecasting and real-world modeling challenges Curious, data-driven, and comfortable working with messy or complex datasets Able to take projects from idea to production autonomously Highly driven by our mission and your impact, yet humble enough to know we are all always learning Thrive in a fast-moving environment and adapt models as markets evolve (Bonus) Experience in energy markets, trading, or power systems - or demonstrated motivation to learn 📍 Location Our beautiful office is located in the heart of Södermalm just a short walk from Slussen subway station. We encourage in-office collaboration but support a hybrid work model. ✉️ Apply Our corporate language is English, as we have over 30 nationalities in the office. We therefore appreciate it if you could submit your CV in English. Throughout the recruitment process you will meet with the People & Talent Partner, Head of Predictions and Optimization, the Team, VP of Engineering and our VP of Product. We look forward to hearing from you! --- We kindly but firmly decline any engagement in recruitment assistance for our hiring processes. This includes partnership offers or the sale of recruitment tools.
Forecasting only creates value when the business trusts it and acts on it - and that trust is built out in the operation, in conversations with the people planning volumes, routes, and staffing every day. We're strengthening our Forecasting team and looking for a Product Owner to own that bridge between the team and the business, and to help a talented group of specialists turn deep technical work into real operational impact. You'll own the what and the why - vision, roadmap, priorities, and value - working alongside a Tech Lead who owns the how. And as much as you'll shape the backlog, you'll shape the team: you're a natural coach who creates focus, clears the path, and helps skilled people grow their product and stakeholder instincts so they can do their best work. Join us The Technology Acceleration area within Group IT is responsible for establishing the future IT landscape - the foundation for PostNord's continued AI- and data-driven journey. In the Forecasting team you'll be the connective tissue between deep machine learning capability and the operational decisions it exists to support, across logistics domains such as volumes, routing, and staffing. Job duties Own and communicate a clear product vision and roadmap for forecasting - grounded in business value. Spend real time out in the operation: build relationships across logistics business units, understand how planning decisions are actually made, and bring that context back to the team. Be the trusted face of the team to the business - manage expectations, communicate progress and trade-offs honestly, and build demand and adoption for what forecasting can do. Translate operational challenges into a prioritised, well-shaped backlog the team can act on with confidence. Coach and support the team - create focus, remove obstacles, shield them from noise, and help colleagues develop their product thinking and stakeholder skills. Define what "good" looks like: connect forecasting work to decision quality, trust, and measurable business outcomes. Partner closely with the Tech Lead and Senior Data Scientists to balance ambition with what's realistically deliverable. Solid experience as a Product Owner or Product Manager, ideally for data, analytics, or other decision-support products. A proven coach and team builder - you lead through influence and clarity, and you bring the best out of skilled people without relying on authority. Strong stakeholder and relationship skills, and the energy and confidence to spend much of your time out in the business rather than behind a desk. The ability to translate fluently between business needs and technical reality, in both directions. Comfort with how data science and forecasting actually work - you don't need to build models, but you understand uncertainty, iteration, and why these products behave differently from standard software. Strong prioritisation and communication skills. Meritorious experience Background in logistics, supply chain, or operational planning. Experience owning analytics, ML, or forecasting products. Familiarity with Databricks and Azure environments. A track record of growing the product and delivery maturity of a technical team. Agile or lean delivery experience. Language requirement Fluent English in speech and writing. Because so much of this role is spent face to face with the Nordic business, proficiency in at least one Scandinavian language is strongly meritorious. Why this role matters Forecasting sits at the core of how PostNord plans and runs its network. The difference between a model and a measurable impact is adoption - and adoption is your job. You'll be the reason the business understands, trusts, and acts on what the team builds, and the reason a strong team keeps getting stronger. Your profile You're an experienced product person who leads through people. You get your energy from being out in the business, listening hard, and turning what you hear into clear direction. You're a coach at heart - you create focus and momentum, and you help others grow rather than doing everything yourself. You hold a firm line on priorities while keeping the team motivated and protected from distraction. You're pragmatic, trusted, and equally at home in an operational planning meeting and a technical refinement session. Most of all, you want to help build something stronger: a high-performing forecasting team whose work the whole organisation relies on. We offer A central, high-visibility role connecting your team to the heart of the business A cutting-edge analytics environment built on Databricks and Azure A central role in accelerating PostNord's AI- and data-driven journey Apply Welcome to submit your application! We encourage you to apply as soon as possible, as we review applications on an ongoing basis. Please note that due to the summer holiday period, the earliest feedback will be provided in mid-August. PostNord offers communications and logistics solutions to, from and within the Nordic region. With our expertise and a unique distribution network, we are developing the basis for tomorrow’s communication, e-commerce, distribution and logistics.
We're at a pivotal moment for both Tibber and the planet. When joining Tibber, you won’t just help scale a forward-thinking tech company – you’ll contribute to a real shift in how people consume electricity. With millions of smart devices connected to the Tibber platform (like electric vehicles and smart thermostats), we have one of the most unique energy trading portfolios on the market. We’re looking for a Senior Data Scientist to join us in making the energy transition happen – maybe that’s you? ---------------------------------------------------------------------------------------------------------------------------------- Job Mission 🚀 As a Senior Data Scientist, you will help accelerate Data Science at Tibber by bridging the gap between advanced data science and robust production systems. You'll play a key role in building predictive data models that increase our metric of savings per kWh. ---------------------------------------------------------------------------------------------------------------------------------- What you'll do ✅ * Lead the ML platform build. Own the direction of our ML infrastructure: model registries, versioning, monitoring, drift detection and automated retraining, and take it from good to great. This is the core of the role, especially in your first year. * Ship models that move the metric. Develop and deploy forecasting, optimization and personalization models that plug straight into live products like Smart Charging and dynamic pricing. * Strengthen the impact chain. We evaluate every data science service against clear goals. You'll help us take the next step: connecting model quality all the way to realized savings per kWh, through counterfactual evaluation and decision-quality metrics. * Raise the bar with your peers. Review code, sharpen best practices and shape how a senior team works with LLM and agentic AI tools, as colleagues not students. * Own end-to-end delivery. Drive the full lifecycle from problem framing and data sourcing to production deployment and continuous improvement. ---------------------------------------------------------------------------------------------------------------------------------- What we're looking for⚡ You are driven by impact, enjoy fast-paced environments, and thrive when given autonomy. You've built an ML platform before and know how to go beyond models that work in a notebook to a system a team can trust. We believe you'll be a great fit if you: * Have a proven track record of developing production-grade ML platforms with drift detection, model registries and CI/CD workflows, and can point to teams that shipped faster because of what you built. * Possess deep technical skills in Python and hands-on experience with cloud ML infrastructure like Databricks MLflow, AWS SageMaker or an equivalent. * Bring deep expertise in at least one ML domain we run in production: time-series forecasting, optimization algorithms or personalization at scale. * Think in platforms, not patches: you build repeatable workflows and you know how to onboard a team of experienced peers into them. * Handle ambiguity well and communicate complex data concepts clearly to product and engineering stakeholders. * Embrace LLM and agentic AI tools as part of how modern data science gets done. * Bonus: experience with energy time-series data, smart charging or grid optimization. ---------------------------------------------------------------------------------------------------------------------------------- 💆🏻♀️💆🏽♂️The Tibber Mindset Tibber exists to drive energy independence - away from fossil dependency. Our tech helps hundreds of thousands of households shift their electricity consumption to more sustainable and affordable hours - from electric vehicles to smart thermostats, all connected to the Tibber platform. We strengthen the resilience of the grid. Not in theory. In everyday life. We win, fail, and grow together, staying curious and pushing for better every day. AI is shaping how we work - and we're on a journey to make it central to everything we do. The further we go, the more our Tibberinos matter - and yes, that's what we call ourselves! Started by two founders in 2016. Now 300+ Tibberinos across Stockholm, Oslo, Berlin, Amsterdam, and Førde. And we're still just getting started. You're welcome at Tibber for who you are. We hire for what you can do and how you think - not your background or where you've been. Diverse teams build better products, and we mean that.