Senior Data Scientist – Forecasting, Solna

Tyche Consulting AB

Location: Stockholm, Sweden (Flexible/Hybrid) Employment Type: Full-time Language: English About Us We are a fast-growing IT consultancy dedicated to delivering cutting-edge expertise to industry-leading clients. Our mission is simple: empower organizations to build scalable, data-driven products that elevate user experience, optimize operations, and unlock business performance through modern AI and advanced analytics. As we scale, we are looking for a seasoned Senior AI & Data Scientist to join our elite team of experts and help shape the future of our AI offerings. The Role & Responsibilities As a Senior AI & Data Scientist, you will own the full AI lifecycle—from initial research and development to deployment and production monitoring. You will collaborate closely with product managers, engineers, and business stakeholders to turn complex data into competitive advantages. Key Responsibilities: Model Development: Design and deploy advanced Machine Learning models for business optimization, predictive analytics (forecasting/classification), and recommendation systems. Generative AI: Build next-generation, LLM-based applications utilizing RAG and Agentic AI architectures. Data & ML Ops: Design scalable ETL/feature engineering pipelines and build production-ready ML pipelines with CI/CD workflows. Deployment: Deploy and manage ML models efficiently using Docker and Kubernetes. Domain Solutions: Develop specialized AI solutions for fraud detection, risk analysis, and customer personalization. Strategic Impact: Analyze large-scale datasets to generate actionable business insights and actively contribute to our clients' long-term AI strategies. Required Qualifications To thrive in this role, you should bring a strong blend of theoretical knowledge and hands-on production experience. Education: Degree in Computer Science, Computer Engineering, Data Science, or a related quantitative field. Experience: 6–8+ years of professional experience in Data Science, Machine Learning, or AI Engineering. Core Tech: Exceptional programming skills in Python and strong proficiency in SQL. ML/Stats: Deep understanding of Machine Learning algorithms, statistical modeling, and predictive analytics. Cloud & Infrastructure: Hands-on experience with cloud platforms (GCP, AWS, or Azure) alongside Docker and Kubernetes. Data Engineering: Experience building production-grade ML pipelines and working with distributed data platforms like Databricks. Best Practices: Strong version control habits (Git) and experience with CI/CD pipelines. Soft Skills: Excellent English communication skills, with the ability to translate complex technical concepts for business stakeholders. Preferred Qualifications (Nice to Have) Experience with any of the following tools and concepts is considered a distinct advantage: GenAI Stack: LangChain, LlamaIndex, RAG architectures, and Agentic AI. MLOps Tools: MLflow, Kubeflow, Airflow, and Feature Stores. Data Tools: DBT, BigQuery, and real-time data processing frameworks. Specialized Analytics: A/B testing, customer analytics, and fraud detection. What We Offer Compensation: Salary plus a very attractive bonus package based on performance. Flexibility: A flexible working environment that supports a healthy work-life balance. Impact: A direct opportunity to shape the AI strategy for major global brands. Culture: A vibrant, collaborative, and international team environment. Growth: Structured professional development opportunities and clear paths for long-term career progression.

Flower Infrastructure Technologies AB

⚡️ 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.

PostNord Group AB

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.