Data Scientist

Lovable Labs Sweden AB

TL;DR - We’re looking for a business-savvy data scientist to build and scale financial analytics, from data models and metrics frameworks to forecasting and strategic insights. You’ll turn product and business data into clear decisions, partner closely with Finance, Data, and Engineering, and support executive reporting and fundraising with reliable models, dashboards, and analysis. Why Lovable? Lovable lets anyone and everyone build software with plain English. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products - fast. We are at the forefront of a foundational shift in software creation, which means you have an unprecedented opportunity to change the way the digital world works. Over 2 million people in 200+ countries already use Lovable to launch businesses, automate work, and bring their ideas to life. And we’re just getting started. We’re a small, talent-dense team building a generation-defining company from Stockholm. We value extreme ownership, high velocity and low-ego collaboration. We seek out people who care deeply, ship fast, and are eager to make a dent in the world. What we’re looking for A business-minded data scientist excited to level up our financial analytics by building metrics frameworks and data models. Ability to move seamlessly between exploratory analysis, behavioral modeling, hypothesis testing, and strategic recommendations. Experience creating production-level data models with strong testing, and clear ownership across pipelines. Solid technical foundation (SQL, Python, statistical analysis) - comfortable working with data at scale and translating it into insights. Deep curiosity about user behavior and what actually drives growth and retention Expertise in financial modeling, forecasting, and scenario analysis (P&L, cash flow, unit economics). What you’ll do Partner with the Finance team to build and maintain financial projections, decision analyses, and long-range plans Work closely with data and engineering teams to leverage product and business data for deeper financial insights, cohort analysis, and predictive modeling Analyze funnels, cohorts, and user behaviors to surface insights that drive decisions Build dashboards, alerts, and automated reporting to keep the team informed and aligned Monitor data quality and collaborate with engineering to maintain reliability Translate complex financial data into clear narratives for executive and board audiences Support fundraising and strategic initiatives with ad-hoc financial analysis and data room preparation Our tech stack We're building with tools that both humans and AI love: Frontend: React Backend: Golang and Rust Cloud: Cloudflare, GCP, AWS, Many LLM providers DevOps & Tooling: Github Actions, Grafana, OTEL, , infra-as-code (Terraform) And always on the lookout for what's next! How we hire Fill out a short form and hop on a quick intro call with our recruiting team Walk through past work and real examples of your process Show us your Most Impressive Project Cross-functional interviews to meet more team members About your application Please submit your application in English. It’s our company language so you’ll be speaking lots of it if you join. We treat all candidates equally - if you’re interested please apply through our careers portal.

Nordnet Bank AB

Nordnet is redefining the landscape of savings and investments, guiding over 2.4 million customers in their financial lives. We have spent the last years building a modern data platform and fostering a culture where actionable insights and rapid product refinement are part of our DNA. In our fast-paced environment, this remains a competitive edge - allowing us to ship, learn, and iterate faster than the market Now we are seeking to engage a passionate Data Analyst to join our team. As a Data Analyst at Nordnet, you will be a part of Data & Insights, where you have the opportunity to work alongside Data analysts, Data Scientists, Analytics Engineers and Data Engineers. You will be embedded in our Product development teams, where you will be an integral component, working with designers, product leads and developers. You will deep-dive into our users and our products, and turn data into actionable insights. Our efforts are focused on continuous improvements, experimentation and engaging our customers. We would love it if you feel excited about at least some of these statements. Going beyond a simple questions, defining a problem and understanding the right analytical approach Conduct statistical analyses on our customer -, financial -, and company data to identify patterns of behaviour Design experiments to evaluate various hypotheses and design choices Utilize AI and advanced modeling to scale your impact Craft and present compelling stories that will impact our decision makers Help improve our existing methodologies This is you You are passionate about data and learning new things, and you want to contribute with your experience and ideas. In your work, you are organised, methodical and agile in a way that benefits the team’s working climate and ability to deliver solutions. To thrive in this role, we believe that most of these criteria describes you: Proactive person with self-drive and strong sense of ownership A strong communicator with the ability to engage both technical and non-technical stakeholders Experience of using SQL, Python, R and dbt Hands-on experience with A/B testing Degree in economics, data science, statistics, engineering, mathematics, or similar We think that you have 3+ years experience working as a Data Analyst at a product oriented organisation. We offer Nordnet started from a passionate belief that changing the hierarchical financial world was possible. We became part of redefining the industry when we gave the customers power over their own savings. You will become part of a journey that has only yet started towards the vision of making our customers the best investors they can be. To be leading in Tech is pivotal for that journey and you will work with colleagues who have a great passion for that goal. We have 900+ employees in Stockholm, Oslo, Helsinki and Copenhagen. We cooperate, exchange ideas and use our core competencies in order to continuously improve the way we meet our customers. Open communication, creativity and engagement are important parts of our everyday life at the office. Visit us on www.nordnetab.com,www.nordnet.se, www.nordnet.no, www.nordnet.dk and www.nordnet.fi. Application We will start interviewing immediately. Please note that we do only accept applications through our recruitment system, hence no email applications will be considered. We want to inform you that Nordnet conducts credit and background checks on the final candidate. We look forward to receiving your application!

Celsus Engineering AB

In this role, you will work with our customers on various data engineering projects. This role is perfect for those with a good foundation in data engineering, and a passion for operational excellence in data management and analytics. You will design, build, and maintain efficient, scalable data pipelines and work closely with data scientists, analysts, and stakeholders to deliver customized data solutions that drive impactful business decisions. Develop and manage scalable data pipelines, ensuring efficient and reliable data flows. Implement processes and solutions to improve data quality, accuracy, and consistency. Create scripts and tools to automate repetitive tasks, improving efficiency and reducing manual work. Build and maintain data integrations, including file, messaging, and API-based systems. Develop data models tailored to meet business requirements. Contribute to implementing infrastructure as code solutions. Collaborate with data scientists, architects, and software developers to support the creation of data architecture and governance models. Enhance the performance of existing data pipelines, optimizing queries and indexing for faster data retrieval. Implement security measures to protect data from unauthorized access. Ensure compliance with data governance policies and regulatory requirements, maintaining documentation and data lineage. Monitor cost efficiency and identify areas for optimization. You are passionate about building data products and enabling data-driven decisions. You enjoy sharing knowledge and learning new things in the data, analytics & AI area. You want to develop and maintain robust, scalable data and analytics systems. You have the ability to work both independently and collaboratively within a team environment. Fluent in English both written and verbal. You are eager to learn and have a basic understanding of working with data sets You are gaining experience with ETL workflows and excited to improve your skills in streamlining these processes. You have a foundational knowledge of big data concepts, cloud technologies, and data modeling. Your skills in SQL and Python are strong, with a focus on writing efficient queries. You are gaining hands-on experience with cloud platforms like AWS, Azure, or Google Cloud and are keen to expand your knowledge.