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Visar 10 av 10 lediga jobb för "Data scientist" i Stockholms län
Rensa sökfilterSenior Data Scientist
Northmill Bank is a challenger bank at the intersection of technology and finance, committed to revolutionizing the way people manage and protect their financial well-being. We are creating a different kind of banking experience, digital yet personal. Northmill Bank was founded in 2006 and have grown to over 240 employees in 3 countries and over 270 000 customers. We use the latest technology to develop safe, smart, and user-friendly products for our customers. They are the sole reason why we do what we do. We are a 100% cloud-based product company where technology is the driver to create smarter banking products. Grab this opportunity to be a part of us and our journey! About our tech stack: Dagster Snowflake DBT Amazon Quick AWS (Lambda, S3, ECR) About the role We are seeking a Senior Data Scientist to join our dynamic and cross-functional team. As a Senior Data Scientist at Northmill, you will collaborate closely with Data Engineers, fellow Data Scientists, Analysts, and key business stakeholders to proactively identify opportunities and leverage data-driven insights that will drive our business forward. Your primary focus will be on leading data science initiatives across various areas of the bank. In this holistic role, you will be a part of the entire model lifecycle, from data collection and preparation to implementation. You will work closely with Data Engineers to ensure the availability of high-quality data, as well as with Analysts and business leaders to ensure that your models are effectively applied and communicated across the business. Your contributions will play a vital role in shaping the future of our fintech bank, and your work will have a direct impact on our success. Responsibilities: Take proactive ownership of the entire model lifecycle, from data collection, through modeling and analysis, to model deployment and implementation. Work closely with Data Engineers to acquire and transform data. Collaborate with cross-functional teams and advise stakeholders to proactively anticipate business needs and translate them into data science solutions. Create and present actionable insights and data visualizations that drive decision-making processes across the bank. Continuously monitor and optimize models to proactively drive model refinement and communicate performance findings to stakeholders. Stay up-to-date with the latest industry trends and emerging technologies in data science, proactively proposing new initiatives where applicable. Qualifications The ideal fit should have experience in statistical modeling and machine learning, from the financial sector, combined with strong problem-solving skills, analytical abilities, excellent stakeholder communication, and a prestigeless, collaborative spirit. We value individuals who are passionate about utilizing data to solve practical challenges and drive business outcomes. Bachelor's or Master's degree in a relevant field. (e.g., Computer Science, Statistics, Mathematics) +5 years of experience in data science or related roles. Proficiency in SQL/Snowflake for data querying and manipulation. Strong programming skills in Python for data analysis and machine learning, including hands-on experience using common ML libraries. Proficiency with Git and version control in collaborative settings. What we offer A fantastic office in a prime Stockholm location with great spaces and views An independent role with the opportunity to make a real impact Great opportunities for professional development Health - 5 000 kr wellness allowance Conference abroad every other year Breakfast and fruits every day, as well as "holy fika” each Friday Regular after work and celebrated successes at the office Apply today and be a part of Northmill!
Senior Data Scientist
Would you like to play a key part in Toca Boca’s Data & Research engine? With over 60 million monthly active users and terabytes of daily data, as a Senior Data Scientist, you will play an integral role in understanding how kids and families engage with our play ecosystem, directly shaping fantastic, safe, and imaginative play experiences. At Toca Boca, we don’t lock you into narrow corporate silos or endless maintenance tasks. As a Senior Data Scientist, you will enjoy broad end-to-end ownership across the entire product lifecycle—from exploratory data science, advanced modeling, and experimentation to product strategy and monetization dynamics. You’ll join our Data & Analytics team while partnering seamlessly with our User Research team under a unified Insights banner. Together, we blend big data behavioral telemetry with qualitative player research, working closely with cross-functional game teams to unlock the full value of our play ecosystem. What you’ll be doing Uncover Deep Player Insights: Analyze complex player datasets to understand behavioral patterns, feature engagement, and retention drivers across our games, informing overall product and commerce strategy. Apply Advanced Statistical Methods: Apply statistical models, regression analysis, predictive segmentation, and experimental methods (A/B testing) to optimize product performance at scale. Bridge Quantitative & Qualitative Insights: Partner seamlessly with our User Research team under a unified Insights banner, connecting the "what" (big data trends) with the "why" (qualitative research) to deliver a 360-degree understanding of our players. End-to-End Ownership & Influence: Take full ownership of complex, ambiguous game product questions. Partner directly with PMs, Designers, and Engineers to translate complex datasets into clear, data-backed recommendations. Innovate & Evolve Workflows: Continuously refine our analytics capabilities by leveraging modern data science workflows, predictive modeling, and AI tools to accelerate discovery and analysis. What Success Looks Like Trusted Co-pilot: You become a trusted analytical partner to game teams, shaping product decisions through rigorous data science, experimentation, and player empathy. Broad Impact: You thrive with the freedom to influence multiple product areas—from core play loops and feature design to commerce and top-of-funnel engagement—without being pigeonholed. Holistic Insights: You successfully bridge quantitative behavioral data with qualitative user research to create unified narratives that inspire game design. Autonomy & Momentum: You help teams move quickly by surfacing key facts, reducing ambiguity, and solving open-ended problems that don't have predefined playbooks. Is This You? 3+ years of experience (or equivalent senior-level impact) in user-focused Data Science or Advanced Product Analytics within Gaming, Mobile Apps, or Interactive Digital Products. Empathy & Product Sense: Deep curiosity and intuition for player experience, engagement, and kids' digital environments. SQL Mastery & Data Exploration: Outstanding SQL skills querying cloud data warehouses (experience with Google BigQuery and DBT is a huge plus). Advanced DS Toolkit: Proficiency in Python (or R) for statistical modeling, machine learning, segmentation, and exploratory deep dives. Experience with BI tools like Tableau or Looker is a great plus! Rigorous Statistical Foundation: Strong track record in experimentation lifecycle design, A/B test analysis, and hypothesis testing. AI & Modern Workflows (Nice to have): Curiosity or Hands-on experience building, integrating, or utilizing AI/LLM tools within your data workflows or analytics stack. Clear Storytelling & Autonomy: Skilled at translating complex quantitative and qualitative data into simple, compelling recommendations for non-technical partners. Thrives with high autonomy in fast-paced environments. This is us! Toca Boca together with Sago Mini, Lylli and Originator, make up Digital Games within Spin Master. We create games, digital toys, and everyday products that are filled with fun that kids from any corner of the world can instantly relate to. We celebrate the diversity and quirkiness of their world and give them the freedom to play in ways that only they can. The Spin Master Mission and Vision is to make life more fun by pushing the boundaries of innovation, creativity, and fun! Good to know! This position is full time and based in our Stockholm office with a hybrid working model. We apply a 6-month probationary period. As we’re an international company, with over 20 nationalities working here, and millions of users all over the world, you must be fluent in English. Toca Boca develops digital games that capture the power of play and that are filled with fun and silliness that kids around the world can instantly relate to. Since our first product launch in 2011, we have released 46 apps that have been downloaded more than 444 million times the world over, making us the No. 1 mobile-first kids brand in the App Store. Our products focus on sparking kids’ creativity and imagination, creating opportunities for open-ended play. With offices in Stockholm and San Francisco, Toca Boca is owned by Spin Master Corp., a global children’s entertainment company that creates, designs and manufactures a diversified portfolio of innovative toys, games, products and entertainment properties.
Data Scientist - Anti-cheat
The Anti-cheat team at Embark is responsible for upholding the integrity of our games, identifying instances of unfair play, and protecting the experience of our players. We have a versatile toolbox at our disposal, which we continuously evolve and refine, including client-side protections, third-party systems, machine-learning models. Being a core function supporting all of Embark games, we collaborate with many different stakeholders throughout the organisation, such as game teams, legal and community management. We are now looking for a well rounded Data scientist to strengthen our operational capacity. As a member of our Anti-cheat team you will, among other things, be responsible for supporting our game teams with investigations into suspicious activities, performance analyses of detection rules, exploration of data and player behavior to design new rules. Your statistical background helps you identify significant patterns, and separate signals from noise. We operate in a complex environment where billions of telemetry events and other data are collected each day from all our games. You are likely curious to continuously learn new skills. You enjoy working autonomously and taking initiatives, while also collaborating within and across teams. You have a passion for data and technology, and feel excited to use your skills to help protect our players from unfair play and malicious actors. By being creative and experimental you aim to solve problems in a game-changing way. Example of responsibilities Perform ad-hoc investigations into suspicious patterns and gameplay behavior Work with game teams and customer support to verify and explain rule detections Support our Esport event teams with vetting of contestants Provide reports and performance analyses of our anti-cheat operation We would love if you have A creative and curious mind. Strong proficiency in SQL and experience with database querying, preferably using tools such as BigQuery Proficiency in Python. Experience working with Google Cloud Platform. Experience working with ETLs and data pipelines. Experience in predictive modeling and analysis over large datasets Professional English communication skills. Experience and/or interest in games and anti-cheat will be considered a bonus! At Embark we offer competitive salaries, passionate colleagues to share knowledge with and much more, but most of all we invite you to take part of a journey into the unknown, to build creative, surprising and beautiful experiences together. We welcome game makers of all sex, class, colour, age, gender identity, education, religion, opinion, culture, nation of origin, language, sexual orientation, shape, size, and ability. Did we leave anyone out? Well, we welcome you, too! We think that the gaming industry is made better when everyone has a seat at the table. Be yourself at Embark and make games while doing so. Please apply with confidence. We can’t wait to hear from you (in English)!
Data Scientist, AI platform
Nordnet redefined the financial world as the first digital bank in Europe. Now we are about to do it again—this time by putting AI at the heart of our strategy, and you'll embark on a challenging journey alongside a skillful team of sharp and committed colleagues. We're searching for a Data Scientist to join Nordnet's AIR (AI & Research) function, working embedded within the AI Platform team. Your mission: Enable the rest of the organisation with the best possible AI capabilities. The Setup You'll be working alongside platform engineers to tackle the full lifecycle—from exploring possibilities to deploying production features. Our technical foundation is Google Cloud Platform, where we've deployed internal and customer facing GenAI features. Now we're scaling what works and developing new capabilities. This is not a theoretical role; you're a builder and problem-solver who thrives on iteration. You'll report to our Data Science Manager while working daily with the AI platform team. What You'll Do Build and maintain production AI pipelines from experimentation through deployment and monitoring. Collaborate with engineers throughout the development cycle—you'll work together on architecture and implementation in an iterative fashion. Drive quality through evaluation, metrics, and testing of AI solutions. Champion AI Governance - Ensure compliance with the bank's regulatory framework by clarifying AI concepts and risks This is you You take pride in your work and are driven by curiosity—you want to continuously learn and grow. You likely have: Experience with LLMs, GenAI and agentic AI Python skills for both exploration and production code. SQL proficiency for data analysis and pipeline building. Knowledge of ML/AI evaluation, metrics, and best practices. Experience with ML/AI in cloud environments (GCP experience is a plus). Knowledge of MLOps Experience with IaC (terraform). We also get excited if you have: Experience working embedded. Experience with Go and/or Java. Comfort presenting technical work to diverse audiences. We think that you have 3+ years experience working as a Data Scientist, ML Engineer or AI Engineer with a University degree in data science, computer science, mathematics, engineering or similar field. We offer Work in a product-focused environment with direct impact Growth opportunities as a data scientist in a fast-moving AI space Competitive salary and compensation You'll work in a Nordic environment with high ambitions and a strong focus on delivery, product development, and technology. Culture is built and cared for, each day by everyone. We're proud of ours. Having a flat organization where anyone can talk to anyone creates a warm and friendly atmosphere worth protecting. We believe in a culture where every effort counts and where everyone is recognized—a culture embracing our core values of passion, simplicity, and transparency on all levels, no matter who you are or what you do. We are over 900 employees in Stockholm, Oslo, Helsinki, Copenhagen and Frankfurt. 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. If you have questions, please contact Talent Acquisition Partner Lovisa Malmberg lovisa.malmberg@nordnet.se We want to inform you that Nordnet conducts credit and background checks, as well as a drug test on the final candidate. We look forward to receiving your application!
Data Scientist - Games
As a Data Scientist at Embark, you will play a crucial role in our team of data professionals, focusing specifically on game analytics. You will be instrumental in providing insights and support for our game titles, leveraging data to optimize player experience, and providing actionable insights for the game development team. This position presents an exciting opportunity to merge your love for gaming with your expertise in data analytics. Example of responsibilities Collaborate and work closely with game designers and business stakeholders Research and develop metrics and performance indicators Extract, analyze and communicate insights from gameplay data Design telemetry logging Communicate results clearly and concisely to stakeholders from both game and commercial teams We would love if you have A creative and curious mind Strong proficiency in SQL and experience with database querying, preferably using tools such as BigQuery Experience in working with ETLs and data pipelines Proficiency in Python scripting for data manipulation and analysis Excellent analytical skills with the ability to translate data into meaningful insights and recommendations Strong interpersonal skills with the ability to collaborate effectively across teams and communicate complex concepts to non-technical stakeholders Experience from working in a fast-paced environment where your skills depend on personal independence and agility Experience with game analytics and an interest in playing games Professional English communication skills. At Embark we offer competitive salaries, passionate colleagues to share knowledge with and much more, but most of all we invite you to take part of a journey into the unknown, to build creative, surprising and beautiful experiences together. We welcome game makers of all sex, class, colour, age, gender identity, education, religion, opinion, culture, nation of origin, language, sexual orientation, shape, size, and ability. Did we leave anyone out? Well, we welcome you, too! We think that the gaming industry is made better when everyone has a seat at the table. Be yourself at Embark and make games while doing so. Please apply with confidence. We can’t wait to hear from you (in English)!
Data Scientist till Savings Performance
Har du en passion för att omvandla data till insikter som påverkar riktiga affärsbeslut? Vill du arbeta nära affären och bidra till att utveckla våra sparaprodukter och kundupplevelser genom datadriven analys? Vi söker nu en Data Scientist till vårt Savings Performance-team inom Investment Center. Här får du en central roll i att analysera och utveckla Sparaaffären genom att kombinera datamodellering, analys och tydlig kommunikation av insikter. Hos oss på Swedbank har du en möjlighet att: Arbeta end-to-end med data – från behovsidentifiering och datainsamling till modellering, analys och visualisering. Analysera och följa upp Sparaaffären ur ett produkt-, kund- och organisationsperspektiv. Identifiera mönster i data och omsätta dessa till konkreta, affärsnära rekommendationer. Ta fram beslutsunderlag och presentera insikter till management och andra seniora stakeholders. Bidra till och vidareutveckla datamodeller som möjliggör bättre uppföljning och styrning av affären. Utveckla och vidareutveckla dashboards och applikationer i Power BI och Qlik som stödjer analys och beslutsfattande. Samarbeta tvärfunktionellt med olika team för att driva datadrivna initiativ. I denna roll behöver du: Grundläggande krav: 2–4 års erfarenhet av att arbeta som Data Scientist, analytiker eller liknande, med fokus på att ta fram insikter från data. Stark erfarenhet av SQL och att arbeta med större datamängder. Erfarenhet av Python eller motsvarande verktyg för dataanalys, gärna med inslag av modellering. Erfarenhet av datamodellering och visualisering i BI-verktyg (t.ex. Power BI eller Qlik). Erfarenhet av att arbeta med hela analysprocessen – från data till insikt och presentation. God förmåga att kommunicera komplexa samband på ett tydligt och pedagogiskt sätt. Flytande svenska och engelska i tal och skrift. Bosatt i Sverige, med placering i Stockholm med omnejd. Relevant akademisk utbildning (t.ex. statistik, ekonomi, datavetenskap eller matematik. Meriterande kvalifikationer: Erfarenhet från arbete inom bank eller finansiella tjänster. Kunskap om sparande, pension eller försäkring. Förmåga att dela kunskap och bidra till teamets kompetensutveckling. Erfarenhet av att arbeta affärsnära och omsätta analys till konkreta rekommendationer. Hos oss kan du uppleva: Personlig och professionell utveckling genom självledarskap och kontinuerlig utveckling. Meningsfullt arbete som positivt påverkar vår arbetsplats, våra kunder och samhället. En öppen och samarbetsinriktad kultur som uppmuntrar tvärfunktionellt teamarbete och erbjuder nätverksmöjligheter. En stöttande och inkluderande miljö som främjar en balanserad och hållbar arbetslivssituation, med flexibla arbetsförhållanden när det passar rollen. Förmåner såsom vårt erbjudande för bankprodukter för anställda, tjänstepensionsplan, aktiebaserade belöningsprogram Eken, och friskvårdsbidraget. "Bli en del av vårt team och... Ta chansen att bli en del av vårt dynamiska och ambitiösa analysteam. Tillsammans hjälper vi Swedbank att bli mer datadrivna och stärker vår position inom Sparaområdet.'' Elias Jakobson, din framtida chef. Vi ser fram emot din ansökan senast den 2026-10-31. Placeringsort: Sundbyberg Rekryterande chef: Elias Jakobson Vänligen observera att rekryteringsarbetet kan ta lite längre tid än normalt då det är sommarsemester. Vi vill göra dig uppmärksam på att bakgrundskontroll och drogtest kan komma att genomföras för denna roll om du går vidare i processen. Vi har gjort vårt medieval för rekrytering och undanber oss därför kontakt med annonssäljare eller säljare av andra rekryteringstjänster. Swedbank är en inkluderande arbetsgivare och diskriminerar ingen utifrån kön, ålder, sexuell läggning eller sexuell identitet, etnicitet, religion eller funktionsnedsättning - alla är välkomna. #LI-MA1
Data Engineer / BI Consultant till managementkonsultbolag
Vill du kombinera data, AI och affärsutveckling? Är du en erfaren Data Engineer eller BI-konsult som drivs av att skapa affärsvärde – inte bara bygga tekniska lösningar? Vill du arbeta nära företagsledningar och hjälpa några av Sveriges största företag att fatta bättre beslut med hjälp av data? Då kan detta vara nästa steg i din karriär. Vår kund är ett väletablerat managementkonsultbolag med specialistkompetens inom verksamhetsstyrning, lönsamhetsutveckling och beslutsstöd. Nu söker de en Data Engineer som vill vara med och utveckla deras satsning inom Data & AI samt bidra till den fortsatta tillväxten av Stockholmskontoret. Om rollen Du kommer att arbeta i gränslandet mellan teknik och affär, där ditt uppdrag är att hjälpa kunder att omvandla komplex data till beslutsunderlag som skapar verkligt affärsvärde. Rollen handlar inte enbart om att bygga dataplattformar och pipelines. Du kommer även att analysera verksamheters behov, ta fram relevanta KPI och utveckla datamodeller som ger ledningsgrupper bättre beslutsunderlag. Dina arbetsuppgifter kommer bland annat att innebära att: Utforma datamodeller och moderna datalager i Azure. Bygga lösningar för analys, rapportering och visualisering i Power BI. Arbeta med Python, SQL och moderna molnplattformar. Delta i workshops och kundmöten för att förstå verksamhetens behov. Ta fram KPI, styrmodeller och lönsamhetsanalyser tillsammans med kunden. Bidra till utvecklingen av AI-baserade lösningar och hur AI kan skapa affärsvärde. Samarbeta nära managementkonsulter och tekniska specialister i tvärfunktionella projektteam. Vi tror att du har:Minst 3–5 års erfarenhet som Data Engineer, BI-konsult eller inom Data & Analytics. Akademisk examen inom exempelvis Industriell ekonomi, Datavetenskap, Matematik, Teknisk fysik eller motsvarande. Mycket goda kunskaper i Python och SQL. Erfarenhet av Azure och moderna dataplattformar. Erfarenhet av datamodellering, ETL/ELT och Data Warehouse. Erfarenhet av Power BI eller liknande analysverktyg. Ett genuint intresse för AI och hur tekniken kan användas för att utveckla verksamheter. Meriterande är erfarenhet av Microsoft Fabric, Azure DevOps eller Databricks. Vem är du? Du trivs i skärningspunkten mellan teknik och verksamhet och motiveras av att förstå affären bakom datan. Du är van att samarbeta med kunder och känner dig trygg i att diskutera lösningar med både verksamhet och ledning. Samtidigt har du ett stort tekniskt intresse och uppskattar att omsätta komplex data till tydliga beslutsunderlag. Som person är du: Affärsmässig och konsultmässig. Kommunikativ och förtroendeingivande. Prestigelös och samarbetsorienterad. Analytisk och lösningsfokuserad. Självgående med ett starkt eget driv. Har du dessutom en grundläggande förståelse för ekonomistyrning, controlling eller finansiell rapportering är det ett stort plus. Därför ska du välja den här möjligheten Här får du möjlighet att arbeta i ett entreprenöriellt konsultbolag med korta beslutsvägar, stort eget ansvar och en kultur där varje medarbetare har möjlighet att påverka både kundernas utveckling och företagets framtid. Du erbjuds bland annat: Uppdrag hos några av Sveriges största företag och koncerner. Möjlighet att kombinera management consulting, data och AI. Stor frihet, ansvar och möjlighet att påverka. Ett kompetent och prestigelöst team med hög kunskapsnivå. Goda utvecklingsmöjligheter och en tydlig karriärväg. Möjlighet att vara med och utveckla ett växande Stockholmskontor. Låter det intressant? Vi ser fram emot att berätta mer om företaget och rollen i nästa steg av processen. Om anställningen: Detta är en direktanställning där du kommer att bli direkt anställd av kunden. Övrig info:Omfattning: Heltid, 100%, direktrekytering Start: Enligt överenskommelse Placering: Stockholm city Rekryteringsansvarig: Hedvig Svärd Ansök genom att klicka på länken nedan. Kom ihåg att vara snabb med din ansökan då vi gör löpande urval av kandidater och att annonsen kan stängs ner innan tjänsten är tillsatt om vi gått över till urvals och intervjufasen. Vi tar inte emot ansökningar via mail. Om Friday: På Friday brinner vi för att ge dig som Tech-talang en riktigt bra start på karriären. Genom att lyssna på vad just du vill och drivs av, matchar vi dig med företag och möjligheter som får dig att se fram emot att gå till jobbet. Vi värderar ambition och potential högt och arbetar aktivt för en fördomsfri rekrytering, där alla ges samma chans att lyckas. Vi finns i Stockholm, Göteborg, Malmö, Linköping och Örebro. Varje år genomför vi över 5 000 karriärmöten och matchar kandidater med allt från globala företag till innovativa startups.
Senior Machine Learning Engineer
On behalf of a partner company, Nordic Investin is looking for a Senior Machine Learning Engineer. You are interested in models that perform after deployment, when data shifts, latency appears and users behave differently than the notebook assumed. The partner is moving machine learning capabilities into core products and workflows. You will develop models and the production systems around them, working with data scientists, platform engineers and product teams. The partner wants data and AI work that can be operated, explained and improved after launch. Provenance, quality, access and evaluation belong in the solution from the beginning. How you will work You will work with engineers, analysts and domain specialists who look at the same information from different angles. The partner expects assumptions, datasets and evaluation methods to be visible. Solutions should be designed for repeatable delivery, monitored use and responsible change after deployment. As a senior colleague, you will own substantial outcomes and help others make stronger decisions. You are expected to recognise risk early, communicate it without drama and move work forward with practical alternatives. The role still includes hands on delivery; seniority here means broader judgement, not distance from the work. What you will do Build and productionise machine learning models in Python. Design feature, training and inference pipelines. Evaluate models against product and operational requirements. Improve monitoring for quality, drift, latency and cost. Create reproducible experimentation and deployment workflows. Guide technical choices between classical ML, deep learning and simpler rules. What you will bring Strong Python and applied machine learning experience. Evidence of deployed models used in a real product or process. Solid software engineering, testing and API development. Experience with cloud compute, containers and data pipelines. Understanding of model evaluation and monitoring. Ability to explain uncertainty and tradeoffs to non specialists. Experience that would add value NLP, computer vision or geospatial modelling. Spark, Databricks or large scale feature processing. Experience in a regulated decision environment. A background that can succeed here Your background may be software engineering, data science, applied research or quantitative analysis. We care that you can connect model performance with production behaviour and user value. What makes the opportunity interesting This is a role for someone who wants ownership beyond training a model. The partner offers meaningful data, strong engineering collaboration and the opportunity to shape how machine learning becomes a dependable product capability. The exact partner, employment model, compensation, start date and working arrangement will be explained openly during the process. Nordic Investin will make sure you understand the context, expectations and decision path before you are asked to commit significant time. The recruitment conversation During the process, Nordic Investin will focus on concrete decisions you have made: the context you received, the alternatives you considered, the result you observed and what you would change today. You do not need every optional technology if your core experience transfers and you can explain how you would close the gap. How to apply Apply with your CV or LinkedIn profile and a short note describing the most relevant system, product or transformation you have helped deliver. Nordic Investin welcomes candidates with different routes into technology and assesses applicants on relevant capability, judgement and potential.
AI/ML Engineer
What will you do? As a AI/ML Engineer at Rebtel you will define how AI is done at Rebtel. What tooling we standardise on, how we evaluate models we put in front of real users, what "good" looks like for our prompts and our pipelines. AI is going from a side project to the core of how Rebtel operates and what we ship to our users. We're hiring the second engineer on our ML/AI subteam to help build it classical ML for the business, LLM-powered systems for the product, and a clear production mindset on both. You'll sit inside the Data team, report to our Head of Data, and partner with one other ML/AI engineer to shape this capability from the ground up. Areas of ownership: You'll own work across two complementary tracks, and you'll ship in both. Classical ML, in production, for operational leverage Risk and fraud models across payments, top-ups, and account behaviour Churn prediction and retention modelling on a user base of a million-plus Forecasting, pricing, segmentation, and the next batch of operational problems we haven't tackled yet Owning models end-to-end scoping with stakeholders, building, deploying, monitoring, retraining LLMs and AI agents, from internal automation to in-product features Start with our customer support agents and automations: RAG pipelines, prompt orchestration, tool-use, evaluation harnesses Move LLM capability into the product as user-facing features Help guide the company on where AI actually creates leverage, what to build, what to buy, what to ignore and turn the good ideas into shipped systems Requirements: You are an excellent communicator and collaborator. We work in English, but you will hear many languages in our Stockholm office 4+ years of hands-on ML engineering in Python, with real production ownership not just notebooks Strong fundamentals in classical ML: feature engineering, model selection, validation, and the unglamorous parts of keeping a model healthy in prod A genuine production mindset: monitoring, retraining, eval harnesses, CI/CD for models, and the instinct to debug when something drifts at 2am Comfort working the whole loop: stakeholder scoping → data → model → deployment → measurement → iteration Strong written and spoken English, and the ability to translate between business problems and ML ones Hands-on experience with LLM frameworks — LangChain, LangGraph, LlamaIndex, or equivalents Built RAG systems, agentic workflows, or LLM-backed products that real users (or real internal teams) actually used Comfortable with vector databases, embeddings, prompt evaluation, and measuring LLM systems with something more rigorous than vibes Obsession with staying up-to-date on developments in the AI space Experience with a major cloud (AWS / GCP / Azure), containers, and a modern data stack Experience in MLOps tooling: MLflow, Airflow, Kubernetes and feature stores is a plus Background in fintech, payments, telecom, or other regulated / operational domains is a plus Why Rebtel? Rebtel has been connecting people across borders for nearly 20 years. Today, we’re profitable, growing, and at a pivotal moment in our journey. As we enter our next phase, we’re building an organisation designed for speed, ownership, and real impact, where every role contributes directly to shaping what comes next. This is a place with global ambition and a strong foundation, where ideas move quickly and decisions matter. You won’t get lost in layers of process or slow-moving structures. Instead, you’ll find the space to take ownership, collaborate across teams, and make meaningful contributions from day one. Based in Stockholm, we bring together a diverse, international team united by a shared purpose: to simplify the way people connect worldwide. At Rebtel, you are the most important asset and we strive to provide a comprehensive package of benefits and perks that enhance your well-being and work experience. Here are some of the things you can expect from us: Pension Plan Health Checkups, Influenza shots and Private Medical Insurance Dental Insurance Occupational insurance Wellness allowance (5,000 SEK) Discount on gym memberships Bonus program Extra parental pay 30 days annual vacation Monday breakfasts Relocation Support, if you're joining us from afar, we'll assist you in making a smooth transition. We are Rebtel. We come from all around the world to create products for anyone who has crossed a border. We believe in equal opportunity and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Data Scientist inom paketlogistik till PostNord
Vill du använda Data Science för att utveckla ett av Sveriges största paketnätverk? På PostNord får du göra data till beslut. PostNord befinner sig i en förändringsresa med stora investeringar i framtidens paketverksamhet. Nu söker de en Data Scientist som vill använda stora mängder data för att skapa konkreta förbättringar i paketverksamheten. Här får du kombinera Data Science, prognostisering och optimering med ett verksamhetsnära och strategiskt perspektiv.PostNord hanterar dagligen mycket stora volymer paket och samlar in stora mängder data genom hela paketflödet. Potentialen är stor – och mycket av informationen kan användas mer för att förstå, förutse och optimera verksamheten. I den här rollen får du vara med och identifiera möjligheterna, utveckla modeller och omsätta analyser till beslutsunderlag som kan påverka allt från bemanning och kapacitet till terminaler, transporter och framtida nätverksdesign. Vi erbjuder dig PostNord erbjuder en roll där din specialistkompetens får stor möjlighet att påverka verksamheten. Du kommer in i ett spännande skede där organisationen utvecklar hur data används för att fatta bättre beslut inom paketaffären. Möjlighet att arbeta med stora datamängder från en omfattande och komplex paketverksamhet. En verksamhetsnära Data Science-roll där dina analyser omsätts till konkreta beslut och förbättringar. Möjlighet att påverka hur PostNord framåt arbetar med analys, prognostisering och optimering inom paketverksamheten. Kombinera strategiskt arbete och hands-on Data Science, där du både utvecklar modeller och omsätter resultaten till verksamhetsnytta. Vara med när PostNord utvecklar paketverksamheten och investerar i hur framtidens paketnätverk ska fungera. Det här gör du hos oss Här arbetar du med frågor där data kan ge bättre förståelse för både dagens paketflöden och framtidens pakethantering. Tillsammans med verksamheten identifierar du vad som behöver lösas och hur data kan bidra. Analyserar stora datamängder och omsätter dem till konkreta beslutsunderlag och strategiska beslut inom paketverksamheten. Utvecklar och implementerar tidsserie- och prognosmodeller för paketflöden och paketvolymer. Använder maskininlärning för att utveckla prognosernas noggrannhet och tillförlitlighet. Arbetar med optimering av exempelvis kapacitet, resursallokering, ruttplanering och bemanning. Identifierar tillsammans med verksamheten vilken data som kan användas för att lösa problem och skapa affärsvärde. Använder geodata för analyser kopplade till exempelvis leveransrutter, terminalverksamhet och nätverksdesign. Samarbetar med bland annat Data Engineers och andra specialistfunktioner kring data, AI och Machine Learning. Ditt team och arbetsplats Du tillhör PostNords affärsområde Paket och arbetar i en central funktion med uppdrag mot hela paketorganisationen för Sverige. Rollen är placerad i Stockholm och PostNord tillämpar ett upplägg med tre dagar i veckan på arbetsplatsen. I rollen kan du även stötta olika delar av paketverksamheten utifrån deras behov och utmaningar. Mer om dig För att lyckas i rollen har du minst fem års erfarenhet inom Data Science och är van att arbeta med stora datamängder. Du har erfarenhet av tidsserieanalys, prognostisering och optimering samt mycket goda kunskaper i programmering, exempelvis Python. Du har arbetat med relevanta Data Science-bibliotek och verktyg såsom NumPy, Pandas, Scikit-learn eller TensorFlow och har erfarenhet av matematiska optimeringstekniker. Erfarenhet av geospatial analys och GIS-verktyg är meriterande. Du har en kandidat- eller masterexamen inom datavetenskap, statistik, operationsanalys eller motsvarande område och behärskar svenska och engelska mycket väl. Det viktiga är samtidigt att du inte enbart vill arbeta med modeller och data isolerat. Du är nyfiken på verksamheten och vill förstå vilka problem som behöver lösas och hur dina analyser kan bidra till resultat. Du kan hantera komplex information, se helheten och omsätta analys till tydliga rekommendationer. Rollen innebär många samarbeten, vilket gör att du behöver kunna kommunicera dina slutsatser på ett begripligt sätt och trivas med att arbeta tillsammans med olika delar av organisationen. Så här får vi kontakt I den här rekryteringen har vi valt att samarbeta med Ada Digital som strävar efter en transparent, inkluderande och snabbrörlig rekryteringsupplevelse. Vi vill veta mer om dig och din potential! Du söker tjänsten enkelt och behöver inte bifoga några dokument. Det räcker med en motivering till varför du söker tjänsten och om du saknar CV kan du bifoga din LinkedIn-profil. Följ sedan din ansökan live via vår hemsida. Urvalet sker löpande och tjänsten kan bli tillsatt före sista ansökningsdatum. Är du nyfiken och vill veta mer innan du söker? Hör av dig till ansvarig rekryterare. Vi ser fram emot att få kontakt med dig!
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