Data Scientist

Data Scientist

Nextory AB

You know that bit where every company says they’re “changing the world”? Yeah, it can feel a little forced. But we like to think our story actually has some realness to it. Our story begins with Shadi Bitar and Ninos Malki, who came to Sweden from Syria as kids and discovered that books could be a bridge - helping them learn the language, understand the culture, and explore new worlds. A thought emerged, what if everyone could have that? And just like that, Nextory was born - your all-access pass to read, listen, and discover new perspectives without limits. And now, we're on a quest to find a Data Scientist.  Let us tell you about the role 📖 As a Data Scientist at Nextory, you will be part of our centralized data team, supporting our Business value stream with an analytical mindset and tech-savvy approach to drive sustainable subscriber growth. You will work closely with stakeholders across Business, Marketing, and Product to create data-driven insights and models that improve decision-making and business performance. Some examples of what you might be spending your time on: Owning projections and forecasts related to activations and new paying subscribers Supporting budgeting, forecasting, and ad hoc business analysis with actionable insights Building and improving Nextory’s central data capabilities and ways of working Supporting the Performance Marketing team with MMM, attribution models, and other analytical frameworks to improve marketing efficiency Drive data-informed growth by analyzing user behavior, optimizing funnels, and running A/B tests to improve acquisition and conversion. Build dashboards, reporting tools, and measurement frameworks in collaboration with Product and Business to provide clear performance insights and support Nextory’s growth strategy. The main character we’re looking for 👀 We believe that you are currently working in a similar role at a fast-moving, product-focused company. You enjoy solving complex business challenges through data and are confident working with multiple stakeholders and know how to balance business needs with analytical rigor. Furthermore, we believe you have: Several years of experience working as a Data Scientist or Data Analyst Strong knowledge of SQL and Python Experience working with performance marketing, attribution modeling, Marketing Mix Modeling (MMM), or related analytical methods Good understanding of digital marketing channels such as Google Ads, Meta, SEO, and online customer acquisition Experience building dashboards or working with BI tools (e.g. Looker, Tableau, or similar) The Nextory way of working 🏠 At Nextory, we believe a strong and inclusive culture is key to our success - and that culture flourishes when we meet and collaborate in person as much as possible. That’s why we spend the majority of the working time at our beautiful office! We are based in Stockholm, Sweden, with offices in Paris and Bangalore. Our hybrid work policy includes four days in the office and Wednesdays as a work-from-home day. Your next story starts here 💫 We look forward to your application. Applications are reviewed continuously, if you have any questions about the role, please contact Erika Thorslund, Talent Acquisition Partner, erika.thorslund@nextory.com Please note that we do not offer relocation and that a six-month probationary period applies.

Data Scientist

Lendo AB

At Lendo, we’re driven by a clear mission: to empower people to make smarter financial decisions. Our work directly impacts how users understand and navigate complex financial journeys, and we take that responsibility seriously. We build our success on a culture where we live by our core values: customer centric, win as a team, focus on execution, and always improve. We are convinced that it is diverse perspectives, differences, and a strong collective drive that allow us to continue evolving. We are always looking for colleagues who wants to grow together with us. About the role We are looking for a Data Scientist to drive business impact through machine learning. We have already created significant value from ML across several areas and see strong opportunities to apply it even more broadly, including marketing, conversion optimization, and operational decision-making. We are looking for a Data Scientist who has successfully created business impact with ML and is energized by delivering measurable results. What you will do Build, deploy, and improve machine learning models that drive measurable impact across domains such as marketing, conversion optimization, and operational efficiency. Design, analyze, and interpret experiments, causal analyses, and marketing mix models (MMM) to guide marketing investments. Be a trusted advisor within ML and partner with product, business, and engineering teams to translate problems into ML solutions. Ensure models deliver continuous business value. About you 3+ years of experience as a Data Scientist, with a track record of shopping models that created measurable business value. Strong modeling expertise with solid foundations in statistics and machine learning, and a clear understanding of when and how to apply different methods Experience designing and interpreting experiments and casual analyses Ability to work effectively with non-technical stakeholders.. Ability to take initiative and drive ML opportunities end-to-end, from problem framing to deployment and measurable business impact. Strong Python programming skills and comfort working in production environments. We believe great people do their best work when they’re trusted. That’s why we offer high autonomy, real ownership and clear accountability. You’ll help create measurable business impact through machine learning in a core growth area, while collaborating with a strong, supportive Data & ML team that values well-being, technical excellence and continuous improvement. You’ll work with a modern tech stack, including production ML systems and generative AI tools, supported by competitive compensation and a flexible hybrid setup. About the recruitment process As part of our recruitment process, we use psychometric testing through HI Assessments. We also perform a mandatory background check on all final candidates. We will always inform you as a candidate before the check is carried out. We look forward to your application!

Senior AI & Data Scientist

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.