Senior AI & Data Scientist

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 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.

Legora AB

About Us Legora is redefining how legal work gets done. Not built for lawyers, built with them. We work alongside the world’s best legal teams, who expect excellence, precision, and speed, and we hold ourselves to the same bar. Our AI-native workspace lets legal professionals move faster, think more clearly, and operate with sharper precision. By analysing thousands of documents in minutes and powering end-to-end workflows, we cut through complexity, teams can focus on what matters: judgment, strategy, and outcomes. 1,000+ customers across 50+ countries trust us, including Cleary Gottlieb, Goodwin, Linklaters, White & Case, Dentons, and Barclays. We’ve scaled to $100M+ in ARR, with teams across Europe, North America and APAC, and continue to expand through acquisitions including Qura, Walter AI and Graceview. We partner with world-class performers: including Aaron Judge and the New York Yankees, Ludvig Åberg (and his caddie), and campaigns featuring Jude Law. Joining Legora means three things. We lean in: ownership over titles, outcomes over intentions. We fight for excellence: high standards, direct, ego-free feedback. We grow together: as a team and with our customers. Mission before ego. Everyone contributes. No one coasts. If you’re driven by impact, pace, and raising the bar. This is the place. The role As a Data Scientist at Legora you will turn data into decisions. You'll sit close to the business, taking questions end-to-end: shaping the metric, modelling the data in dbt, running the analysis, and making the recommendation. You'll pull in new data sources when you need to, but the underlying instrumentation and platform belong to our data engineering team. Insights are useful; impact is what we hire for. We're an AI-first data team. We believe the data function should be redesigned around what AI now makes possible, not retrofitted with it, and we want someone excited to help define what that looks like in practice. There's no single profile we hire for. Some of us are strongest at data modelling and analytics engineering, some at experimentation and causal inference, some at machine learning, some at stakeholder influence. You'll likely be excellent at one or two of these and competent across the rest. That's the bar. We're a small, centralised team supporting the whole company, hiring for the person, not the seat. Depending on your strengths and where we have the biggest gap when you join, you could be embedded primarily with: Product: instrumentation, feature adoption, user behaviour, A/B testing, shaping the roadmap with PMs and designers. Finance & RevOps: ARR, NRR, forecasting, board reporting, pricing analytics across a 40-country footprint, and unit economics for an AI-native product. Growth & Marketing: acquisition funnels, attribution, campaign measurement, lifecycle analytics, and what actually moves enterprise legal buyers. GTM & Customer Success: pipeline analytics, customer health, expansion signals, and retention drivers in a category that didn't exist three years ago. You'll partner directly with leaders across Product, Engineering, Finance, and GTM, most of whom are unusually data-fluent and will happily open a SQL editor with you. Your work will directly influence how we prioritise, how we sell, how we price, and how we build. What you will be doing Partner with stakeholders across Product, Finance, GTM, Growth, and beyond to translate ambiguous questions into structured analyses and clear recommendations. Define the metrics that matter, design the experiments or analyses that test them, and measure the impact of what we ship. Conduct deep-dive analyses on the questions that move the business, and proactively surface the questions nobody is asking yet. Model the data you need for your work in dbt, pulling in new sources when necessary, and partner closely with data engineering on anything that needs to scale beyond your immediate use case. Build dashboards and reporting that scale beyond you, so the company can answer its own questions where possible. Help shape how the data team operates as we scale: standards, tooling, ways of working. What you'll need Strong proficiency in SQL and Python. Solid grasp of data modelling and what it takes to build analytical work that is reliable and trusted. Excellent communication skills and the confidence to influence decisions through data storytelling, including pushing back when the data doesn't support what someone wants to do. Genuine depth in at least one of the following, with competence across the rest and curiosity to grow: Data modelling and analytics engineering (dbt, dimensional modelling, semantic layers, self-service) Experimentation and causal inference (A/B test design, quasi-experiments, statistical rigour) Machine learning and applied data science (forecasting, prediction, segmentation, evaluation) Product analytics and metric design (funnels, cohorts, adoption frameworks, North Star metrics) Nice to have Experience in a product-led or SaaS environment, ideally B2B. Hands-on experience with our stack: Snowflake, dbt, Hex, Dagster. Prior experience as an early data hire at a fast-growing company, i.e. you've built the muscle, not inherited it. Most importantly, you are someone who "Gets stuff done" and understands building a $10bn company isn't always glamorous and takes hard work and long hours. Thrives in a fast-paced environment where the answers aren't always clear and processes are few. Is genuinely domain-curious. You don't need to have worked on every part of a business, but you should be excited to. Legora is an Equal Opportunity Employer At Legora, we believe great teams are built on diversity of thought and experience. We’re proud to be an equal opportunity employer and committed to creating an inclusive, high-performance culture where everyone can do their best work. We welcome people of all backgrounds and don’t discriminate based on race, color, religion, national origin, gender, gender identity or expression, sexual orientation, age, disability, veteran status, or any other characteristic protected by law.