Data Scientist

Qube Research & Technologies

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. Your future role within QRT: As part of the Data Search & Analytics team, you will support one of QRT's Options trading streams, working closely with quantitative researchers and traders to source, curate and deliver high-quality data that powers systematic options research and trading. In addition to the core responsibilities outlined above, you will: * Source, evaluate and onboard datasets relevant to options and derivatives research. * Partner closely with researchers and traders to understand data requirements and translate them into scalable data solutions. * Build and maintain robust data pipelines, ensuring the quality, consistency and timeliness of options-related datasets. * Develop a strong understanding of options market data and contribute to improving QRT's internal data platform and tooling. * Proactively identify opportunities to enhance data coverage, quality and operational efficiency for the Options business. Your present skillset: * 3+ years of experience as a Data Scientist, Data Engineer or in a similar data-focused role; experience supporting quantitative research or trading teams is advantageous. * Experience working with financial market data; exposure to options, derivatives or volatility data is a strong advantage. * Strong Python programming skills, with experience using data processing libraries such as Pandas and NumPy. * Experience building data pipelines and working with large-scale structured and time-series datasets. * Demonstrated interest in financial markets and the application of data to quantitative research and trading. * Excellent communication and stakeholder management skills, with the ability to collaborate effectively with researchers, traders, engineers and external data vendors. * Ability to thrive in a fast-paced, high-performance environment while managing multiple data initiatives simultaneously. QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Toyota Material Handling Europe AB

At Toyota Material Handling Europe, we create the technology that keeps the world moving. We are over 13,500 colleagues passionate about supporting companies of all sizes with todays and tomorrow's material handling challenges. Because we know that our business and our industry are essential and sometimes even critical for them, for daily life and society at large. In our respective headquarters in Mjölby, Sweden, Willebroek, Belgium, in our Sales companies across Europe or in our factories in France, Italy and Sweden, you can be part of an extraordinary journey. And together, we will Move the world towards easy and sustainable. The Position At Toyota Material Handling Europe, we are accelerating our journey towards becoming a data-driven and AI-enabled enterprise. As part of this transformation, we are looking for a Data Scientist with strong engineering capabilities to join our Data & Advanced Analytics organization. In this role, you will focus on designing, developing, deploying, and operating AI/ML solutions at enterprise scale, leveraging Snowflake and Snowpark as the core platform. You will play a key role in moving from analytics-driven insights to production-grade, AI-powered solutions embedded in business processes. You will work in a product-oriented setup, collaborating with cross-functional teams to deliver AI-enabled data products that create measurable business value across the organization. You will report to Head of Data and Advanced Analytics. Your Responsibility As a Data Scientist in our team, you will work across the full AI/ML lifecycle: Data Science & AI Solution Development Design, develop, and deploy machine learning models and advanced analytics solutions, owning the full lifecycle from exploration to production Apply statistical and AI/ML techniques to solve business problems, continuously improving models to maximize impact MLOps & Engineering Practices Operationalize models into scalable, production-grade solutions using MLOps best practices (CI/CD, automation, monitoring, and retraining) Ensure reliability, scalability, and performance of ML solutions in collaboration with Data Engineering teams Data Platform & Collaboration Work with modern data platforms (e.g., Snowflake) to build scalable data and AI solutions in close collaboration with cross-functional teams Translate business needs into technical solutions and contribute to shared frameworks, standards, and best practices Business Impact & Stakeholder Engagement Partner with stakeholders and product teams to identify use cases, deliver insights, and drive data-informed decisions Communicate findings and recommendations clearly to both technical and non-technical audiences Governance & Continuous Improvement Contribute to responsible AI, data quality, and governance practices across the ML lifecycle Stay up to date with industry trends and support the growth of a strong, data-driven culture Your Profile Proven experience as a Data Scientist (or similar role), with hands-on expertise in developing and deploying machine learning models in production environments Strong programming skills in Python and SQL, with experience in data manipulation, statistical analysis, and ML frameworks Solid understanding of the full ML lifecycle, including model development, deployment, and monitoring Experience working with modern data platforms and cloud environments, preferably Snowflake Knowledge of MLOps practices, including versioning, CI/CD pipelines, and model performance monitoring Ability to translate complex business problems into data-driven solutions and communicate insights clearly to stakeholders Strong collaborative mindset, with experience working in cross-functional teams alongside Data Engineers, Analysts, and business stakeholders Curious and proactive approach, staying up to date with the latest developments in AI/ML and contributing to a data-driven culture Degree in Data Science, Computer Science, Statistics, Mathematics, or a related field Fluent in English (Swedish is a plus) Our Offer At Toyota Material Handling Europe, we're not just a global leader in a fast-paced industry - we are a team that values collaboration, growth and making a real impact for our customers. In our dynamic, diverse and international environment, we offer a workplace where you can truly thrive and bring your ideas to life. This position is based at our European Headquarters in Mjölby, Sweden with remote work options available up to two days a week. We're committed to supporting you with an attractive benefits package, including a yearly bonus and flexible work arrangements that allow you to balance your personal and professional life. With clear goals and direction from senior leadership, you'll also find abundant opportunities for career growth and development within the company. Our organisational support ensures that you can maintain a healthy work-life balance while pursuing meaningful work that shapes the future of our industry. At Toyota Material Handling Europe, we believe in continuous learning and provide plenty of opportunities to develop new skills and take on exciting projects. Collaboration is at the heart of everything we do, and we take pride in fostering a supportive, open environment where every voice is heard. Your Application Submit your application in English no later than August 9th, 2026. Applications only accepted through our recruitment system. We screen continuously, so do not miss out and send in your application today! Interviews will start in August/September 2026. If you need support with your application or have questions about the recruitment process, please contact Victoria Östryd Söderlind Recruitment Specialist; Victoria.OstrydSoderlind@toyota-industries.eu

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 data scientist, you will turn data into meaningful insights using analytics and machine learning techniques. You are comfortable working independently on innovative projects to require, amongst others, to design, train and evaluate models to analyze sensor signals and other engineering data.   You will collaborate closely with other data scientists and data engineers across different disciplines. You’ll contribute by sharing your knowledge and learning from others as you help evolve our methods, tools, and best practices.   This role suits someone who enjoys building, exploring, and delivering high‑quality analysis that drives real impact.  What you'll bring You have a strong quantitative background, with a Master’s in Statistics, Mathematics, Data Science, Computer Science, or a related field, along with 3+ years of experience in a data science or similar role. You have experience in all stages of data science projects: framing questions, analyzing data, modeling, interpreting results, and communicating insights.   You may have experience in several of the following areas (you do not need to meet all of them):  Experience with Python and aware of software and data engineering practices for production systems  Familiar with the standard data science toolkit (e.g., pyspark, Pandas, Scipy, Numpy etc.)  Experience building data pipelines on platforms such as Databricks or Snowflake  Understanding and experience applying in statistical modeling, inference, time-series analysis, and machine learning algorithms  Understanding of CI/CD principles, particularly for data or ML pipelines  Experience with developing generative AI or LLM-based applications     Beneficial to have: Familiar with front-end development (e.g., Streamlit or React)  Experience with cloud-environments ‑ (preferably Azure)  Automotive or mechatronic domain knowledge    We value how you collaborate as much as your technical skills. You should approach problems with curiosity and creativity as well as communicate clearly with both technical and non‑technical colleagues. You would take ownership and follow through as well as open discussions and multidisciplinary teamwork.