Senior Data Scientist – Optimization & MLOps

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.

Join Artefact Belgium: Help our clients in their AI transformations WHO WE ARE Artefact is a next-generation consulting firm dedicated to transforming organizations through data and AI. We combine the rigor of top-tier strategy consulting with deep expertise in AI applications to help clients achieve tangible business impact. Our Belgium office advises clients on their most pressing strategic challenges : from AI strategy and governance to digital transformation roadmaps and new business model design. Our inclusive and forward-thinking culture encourages creativity, collaboration, and professional growth. WHAT YOU WILL DO As a Senior Data Scientist specializing in the marketing domain, you will lead and conduct ambitious projects aimed at transforming clients through data. Your day-to-day responsibilities will include: * Leading transformational projects: spearheading ambitious projects that utilize data to transform our clients’ operations and strategies. * Developing data science solutions: creating innovative data science products and solutions for both clients and our internal data science team. * Applying data science in marketing contexts: leveraging data science methodologies to enhance marketing analytics, customer segmentation, attribution modeling, and campaign optimization.  * Building client relationships: collaborating closely with your Consulting counterpart to understand client needs and strengthen relationships. * Upskilling the team: contributing to the development of our data science team by sharing knowledge, mentoring junior Data Scientists, and promoting our work within other data departments. * Ensuring quality deliverables: caring for team morale and ensuring that all missions are delivered to a high standard, providing feedback and support to less experienced team members. * Optimising code: writing highly optimized code to advance Artefact’s internal toolbox and knowledge base. WHAT YOU WILL LEARN WITH US: * Real-World impact: deliver impactful projects by developing end-to-end machine learning pipelines to solve real-world problems across various industries, including marketing and customer intelligence.  * Collaborative solutions: work in feature teams alongside other data scientists, ML engineers, data engineers, software engineers, and product owners to build complex solutions. * Software engineering improvement: enhance your software engineering skills by applying ML Ops best practices while working with machine learning teams. * Expertise development: become an expert in one of our data science practices: Time Series Forecasting, MLOps, NLP, Computer Vision, Optimization, or Customer Intelligence, including marketing analytics, attribution modeling, and incrementality testing. * Algorithm discovery: discover state-of-the-art algorithms and test them on real-world data during client projects. WHO YOU ARE We’re seeking someone who has: * Educational background: a completed Master’s degree in a relevant field (e.g., computer science, machine learning, mathematics, or related subjects). * Hands-On experience: at least 2-3 years of experience in data science, analytics, or consulting, preferably within a marketing or digital context. * Marketing or digital context experience: knowledge of various marketing channels and platforms, including their roles within the media mix is considered a plus.  * Technical skills: strong knowledge of data processing, algorithms, and data architecture, along with proficiency in tools like Python, SQL, and R. * Analytical mindset: a passion for working with data to derive actionable insights and solve complex problems. * Communication skills: excellent verbal and written communication skills, with the ability to discuss both technical and non-technical topics with clients and team members. * Curiosity and passion: a genuine interest in continuous learning and exploring new technologies and tools in data and AI. WHAT WE OFFER * Competitive compensation aligned with your profile and experience. * Hands-on exposure to real client challenges from day one, working alongside experienced strategy and data/AI practitioners. * Regular training in both strategy consulting methodologies and AI/data capabilities, combined with international exposure across Artefact's global network. * A collaborative, entrepreneurial culture of doers — innovative, fast-moving, and committed to supporting each other's growth. This position is based in Brussels, with opportunities to collaborate on projects worldwide. At Artefact Belgium, we value curiosity, motivation, and potential above all else. Don't worry if you don't tick every box — if you're excited about building a career at the frontier of strategy and AI, we'd love to hear from you