Data Scientist

Xylem; Sundbybergs kommun; On-site; SEK 700,000 - 900,000; Full time

Job summary

Xylem is seeking a Data Scientist to turn complex operational and sensor data into actionable insights and AI-powered solutions. You will design and deploy machine learning models, collaborate across product teams, and drive measurable value for customers and operations.

The role emphasizes strong Python skills, statistical rigor, and the ability to translate real-world problems into scalable analytics products within a global water technology context.

Qualifications

• Bachelor’s or Master’s degree in Data Science, CS, Engineering, Statistics, or a related field.
• Experience developing ML models and advanced analytics solutions.
• Strong Python skills and experience working with large or complex datasets.
• Good understanding of statistics, data analysis, and predictive modeling techniques.
• Ability to translate business and operational challenges into practical data-driven solutions.

Responsibilities

• Analyze complex operational and sensor data to uncover patterns and opportunities for improvement.
• Design, develop, validate, and deploy machine learning models and advanced analytics solutions.
• Build algorithms for forecasting, anomaly detection, and predictive decision support.
• Transform business and customer challenges into scalable, data-driven solutions.
• Collaborate with product managers, engineers, domain experts, and customers to deliver new capabilities.
• Monitor and continuously improve the performance of analytics solutions and models.

Skills

Python

Machine learning

Data analysis

Communication

Education

Bachelor’s or Master’s in Data Science or related field

Tools

Pandas

scikit-learn

TensorFlow/PyTorch

Job description

Xylem is a Fortune 500 global water solutions company dedicated to advancing sustainable impact and empowering the people who make water work every day. As a leading water technology company with 23,000 employees operating in over 150 countries, Xylem is at the forefront of addressing the world’s most critical water challenges. We invite passionate individuals to join our team, dedicated to exceeding customer expectations through innovative and sustainable solutions. At Xylem, we’re tackling some of the world’s biggest water challenges through innovation, technology, and data. We’re looking for a Data Scientist who is curious, collaborative, and excited about turning complex data into meaningful solutions that help our customers operate more efficiently and sustainably.

In this role, you’ll work with operational and sensor data to develop machine learning models, advanced analytics, and AI-powered solutions that generate real-world impact. You’ll collaborate with product managers, engineers, domain experts, and customers to uncover opportunities, solve complex problems, and create products that deliver measurable value. Success in this role comes from combining strong analytical skills with a genuine interest in understanding the systems, processes, and operational environments behind the data.

Responsibilities

• Analyze complex operational and sensor data to uncover patterns, trends, and opportunities for improvement.
• Design, develop, validate, and deploy machine learning models and advanced analytics solutions.
• Build algorithms for forecasting, anomaly detection, and predictive decision support.
• Transform business and customer challenges into scalable, data-driven solutions.
• Develop a deep understanding of the systems, processes, and operational context behind the data to create impactful analytical solutions.
• Collaborate closely with product managers, software engineers, domain experts, and customers to define and deliver new capabilities.
• Leverage modern AI tools and technologies to support data exploration, experimentation, model development, and solution delivery.
• Monitor and continuously improve the performance of analytics solutions and machine learning models.
• Communicate insights and recommendations clearly to both technical and non-technical audiences.
• Stay up to date with emerging technologies, AI advancements, and analytical methods that can drive innovation and continuous improvement.

Qualifications

• Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Statistics, Mathematics, or a related field, or equivalent practical experience.
• Experience developing machine learning models and advanced analytics solutions.
• Strong Python skills and experience working with large or complex datasets.
• Good understanding of statistics, data analysis, and predictive modeling techniques.
• Ability to translate business and operational challenges into practical data-driven solutions.
• Strong problem-solving skills and a curiosity for discovering meaningful insights from data.
• Interest in understanding the systems and processes behind the data and applying that knowledge to analytical solutions.
• Ability to communicate complex concepts clearly to both technical and non-technical audiences.
• Strong collaboration skills and the ability to work effectively across teams and disciplines.

Nice to Have

• Experience with time-series data, anomaly detection, forecasting, predictive analytics, industrial systems, IoT, or sensor data would be valuable.
• Familiarity with cloud-based analytics and machine learning platforms, AI-assisted development tools, or cross-functional product development environments is also a plus.

Why Join Xylem?

At Xylem, you’ll be part of a global team dedicated to solving critical water and infrastructure challenges. We offer a collaborative and international environment where you’ll have opportunities to grow your skills, develop your career, and contribute to innovative solutions that make a difference around the world. You’ll also have the opportunity to engage with Xylem Watermark, our corporate citizenship program focused on education, community involvement, and water stewardship. Learn more at www.xylemwatermark.com.

Belonging at Xylem

At Xylem, we believe that diverse perspectives, experiences, and backgrounds strengthen our teams and drive innovation. We are committed to creating an inclusive environment where everyone feels welcomed, respected, and empowered to do their best work. We encourage candidates from all backgrounds to apply, even if their experience doesn’t perfectly match every qualification listed. Your unique skills, experiences, and potential may make you the ideal fit for this role.

Inclusion and Belonging at Xylem are fundamental to how we enable our customers to tackle global water challenges. Learn more about our commitment to Inclusion and Belonging.

Learn more by clicking here – Working at Xylem