Data Scientist

Volvo Personvagnar Aktiebolag

Company description: Who are we?Volvo Cars is a company on a mission; to bring traditional car manufacturing into a connected, sustainable and smart future.Since 1927, we have been a brand known for our commitment to safety, creating innovative cars that make life less complicated for our consumers. In 2010, we decided to transform our business, resulting in a totally new generation of cars and technologies, as well as steady growth and record sales. Today, we’re expanding our global footprint in Europe, China and the US, and we’re on the lookout for new talent. We are constantly pushing our own skills and abilities to drive change in the automobile industry like never before. We are looking for innovative, committed people to join us in this endeavour and create safe, sustainable and connected cars. We believe in the power of people and will challenge and support you to reach your full potential. Join us and be part of Volvo Cars’ journey into the future. Job description: Let's introduce ourselves The Engineering Data Hub at Volvo Cars accelerates the use of data, analytics, and AI. Our cross‑functional team of data, software, and machine learning engineers combines technical expertise with a collaborative mindset to transform large‑scale vehicle data into actionable insights. We support the development of new products, functions, and services by analyzing complex data sources, building machine‑learning models, developing scalable cloud pipelines, creating intuitive visualizations, and create Generative AI products.    Our culture focuses on learning, inclusion, and achieving success together!   What you'll do As a senior data scientist, you will turn large‑scale engineering data into insights and models that guide product development and engineering decisions. You will design, train, validate, and deploy advanced ML models, particularly for sensor signals and other complex data sources.  You will take a leading role in shaping innovative projects, stay up to date with the latest AI developments to ensure we use the most suitable methods, and evolving how we work with vehicle data across Volvo Cars. You will mentor and guide other data scientists, collaborate across disciplines to identify impactful opportunities, and help to build a strong, inclusive analytics community within Volvo Cars Engineering.     This role is ideal for someone who combines deep technical expertise with a passion for leadership, mentorship, and driving innovation.  What you'll bring You have a strong quantitative background, with a Master’s or Ph.D. in Statistics, Mathematics, Data Science, Computer Science, or a related field, along with 5+ years of experience in a data science or similar role. You are comfortable leading by example, guiding others, setting technical direction, and raising the quality of analytical work across teams.    You bring an experimental mindset, balancing speed and rigor to iterate quickly and deliver impact. You have experience owning machine learning or analytical projects end-to-end, from ideation through to deployment, and you are able to clearly communicate insights to non-technical stakeholders.    You likely have experience in several of these areas:   Strong experience with Python and solid understanding of software and data engineering practices for production systems  Strong familiarity with the standard data science toolkit (e.g., pyspark, Pandas, Scipy, Numpy etc.)  You have experience building data pipelines on platforms such as Databricks or Snowflake  Theoretical understanding and practical experience in statistical modeling, inference, time-series analysis, and machine learning algorithms  Understanding of CI/CD principles, particularly for data or ML pipelines  Experience with software versioning (e.g., Git)   Experience with generative AI or LLM-based applications    Beneficial:  Experience or familiarity with front-end development (e.g., Streamlit or React)  Experience with cloud-environments ‑ (preferably Azure)  Automotive or mechatronic domain knowledge  Experience mentoring or leading technical work    You would thrive in a collaborative environment while feeling confident driving technical direction. You would lead through knowledge‑sharing, encouragement, and clarity as well as communicate effectively with diverse audiences. You bring curiosity, creativity, and strong analytical rigor. You inspire others through initiative, openness, and responsibility. You bring your experience in shaping processes, methods, and standards.

VITROLIFE SWEDEN AKTIEBOLAG

At the Vitrolife Group, we work every day to unlock the full potential of science and technology to reduce the barriers towards building a family. Together we help our customers and their patients to fulfill the dream of having a baby. Shape the Platform, Enable Domains, Build for Scale We are looking for a Senior Data Engineer to join our Group Analytics enabling team. This is a key role in establishing and evolving our global data platform, with Microsoft Fabric and the Azure ecosystem as the primary technology direction. You will combine hands-on data engineering with architectural responsibility, helping us build scalable, governed, and automated data platform capabilities. The role is central to our ambition to move from fragmented and manually maintained legacy solutions toward a modern, domain-oriented data platform that enables trusted analytics, self service, and future AI/ML use cases. This is an opportunity for someone who enjoys building for scale, setting technical direction, and enabling others through strong engineering standards, reusable patterns, and practical guidance. Your Mission As a Senior Data Engineer, you will help design, build, and mature our global data platform. You will work with Microsoft Fabric, lakehouse and medallion architecture, reusable data pipelines, analytical data models, and modern engineering practices. You will play an important role in enabling a federated, data mesh-inspired operating model, where domain teams can own and evolve their data products within clear technical and governance guardrails. Depending on your profile, you may also take architectural responsibility for selected platform capabilities, patterns, and technical decisions. Experience from other modern lakehouse platforms, such as Databricks, Spark, or PySpark, is highly relevant where it strengthens your ability to design scalable and automated data solutions. What You’ll Do • Help design, build, and evolve our Microsoft Fabric-based global data platform, including scalable pipelines, lakehouse patterns, and analytical data models. • Develop reusable engineering standards, templates, and governed data objects that enable domain teams to build and manage data products. • Apply modern engineering practices such as Git, CI/CD, monitoring, documentation, testing, and infrastructure-as-code principles such as Terraform. • Embed security, access control, GDPR/PII handling, lineage, and metadata requirements into platform delivery. • Work closely with enterprise architects, data engineers, data analysts, data scientists, business stakeholders, and domain teams. • Mentor colleagues and support the modernization and deprecation of legacy BI/DW solutions. What You Bring • Senior-level data engineering experience with strong hands-on delivery, architectural understanding, and ability to design scalable platform solutions. • Strong SQL and Python skills, with Microsoft Fabric experience or transferable lakehouse expertise from Databricks, Spark, PySpark, or Delta Lake. • Experience with production-grade data pipelines, medallion/lakehouse architecture, analytical data modeling, and domain-oriented data design. • Experience with modern engineering practices such as Git, CI/CD, DevOps, monitoring, and preferably infrastructure-as-code principles such as Terraform. • Good understanding of data governance, metadata, lineage, access control, GDPR, and PII handling. • Collaborative mindset, with the ability to create reusable patterns and translate business and analytical needs into scalable technical solutions. Why Join Us? You will be part of shaping the foundation for how data is managed, governed, and used across the organization. This is a chance to help build the platform many data engineers wish they could build from the start: scalable, secure, automated, metadata-driven, and designed for future AI and agent-enabled ways of working. You will influence platform architecture, establish reusable engineering patterns, and help domain teams become more self-sufficient with data. The role contributes directly to the shift from fragmented legacy solutions toward a trusted global data platform for analytics, self-service, and future AI/ML capabilities. You will join an enabling analytics team with a clear ambition: to make data more accessible, reusable, and reliable across the business. Please note that this role is based in Valencia or Gothenburg. Applications will be reviewed on an ongoing basis, so please submit your application as soon as possible. Vitrolife Group is a global provider of medical devices and genetic services. Based on science and advanced research capabilities, we develop services and products for personalized genetic information and medical device products. We support our customers by improving their clinical practice for the patient's outcome of fertility treatment. We are currently approximately 1 100 colleagues worldwide, with headquarters in Gothenburg, Sweden. Vitrolife Group's products and services are available in more than 110 countries through our own presence in 30 countries and a network of distributors. Vitrolife Group is a sustainable market leader and aims to be the preferred partner for IVF-clinics by providing superior products and services with the vision of fulfilling the dream of having a baby. The Vitrolife share is listed on Nasdaq Stockholm.

Capgemini Engineering Sverige AB

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same. Your role As a Power electronics engineer at Capgemini Engineering, you will be working with electromobility, power electronics and verification. In this role you will play a key role in: • Typical tasks like pre-studies, proof-of-concept design, schematic design, certain PCB layout, on-board verification and board bring up. • Our growing team, and the assignments require that you to work in agile teams according to Kanban or Scrum. Your profile • At least 3+ years of experience from power electronics field. • Experience from verification including practical experience with measurement and measurement techniques (analogue measurements) • Meriting if the work experience is with in the automotive sector and especially power electronic systems • Good knowledge of Electrical schematics drawing, PCB layout component placement, PCB layout routing design & layout optimization. • Good knowledge of PCB layout guidelines considering EMI/EMC aspects. • Knowledge of electrical / electronics circuit analysis What we believe you will enjoy about working here • We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. • At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. • We support your personal development and offer an education library with more than 250 000 (!) courses and educations and certifications. Application As part of our recruitment process, identity verification or background checks may occasionally be conducted. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.