Data Scientist (R-17778)

Why We Work at Dun & Bradstreet

Dun & Bradstreet combines global data and local expertise to help clients make smarter decisions. With 6,000+ people in 31 countries, we are a team of diverse thinkers and problem solvers who all share a common curiosity: to find new ways to turn data into value. If you share this curiosity and want to be part of a future-ready company, come join us! Learn more at dnb.com/careers.

In this role you will be part of our B2C Sales & Marketing Services Analytics team! We are a team of data scientists and analysts, working across the Nordics to create, promote and grow our B2C offering. Our success relies on collaboration – both within the team, and with other teams such as Product, Data, Tech and Sales teams. 

In this role you will primarily;

• Analyze large datasets with different types of data from Dun & Bradstreet's sources as well as several different types of customer data.
• Develop models and new attribute variables, and deliver on client specific projects (targeting optimization, segmentations etc.)
• Apply machine learning techniques to build predictive models and other data driven solutions.
• Evaluate model performance using appropriate metrics and validate models to ensure reliability and robustness.
• Join cross-team collaboration to develop Analytics capabilities integrated in our products
• Contribute with your expertise on new data sources and internal product development processes.
• Thirst for advancements in data science and machine learning to enhance expertise and contribute to innovation.

To be successful in this role we believe you are/have;

• An analytical and critical thinking
• Worked with consumer and market analysis before
• Academic university degree in data science, statistics, econometrics, mathematics, computer science, economics and / or civil engineering.
• 5+ years of experience working with Python/PySpark, developing models and processes, creating integrated analytics modules.
• Senior skills in organizing and refining raw data for analysis, coupled with ability to craft impactful data visualization.
• Ability to evaluate model performance and iterate on solutions for continuous improvement.
• Solid knowledge about statistical models and/ or machine learning.
• A social person who likes to share your expertise, experiences and tips. You are curious and like to learn new things. You see solutions, not the problems! And stay updated with the latest trends and technologies in data & analytics and apply them to improve existing processes.
• Good knowledge in both English and Swedish, verbal and written.
• Techstack Keywords: Python, PySpark, SQL, Github, Databricks, GCP, ML Flow

Why Join Us?

Does this role sound like a great opportunity but you’re not sure about making a move? We are really proud of our company and culture and think we have some great things to offer. Some of our benefits in Sweden include:

·  Two paid volunteer days to contribute to causes in your community

·  A paid day every year to use for your health and wellness

·  Instead of half days before public holidays, you will have 4 additional full days a year for you to use to celebrate what is meaningful to you 

·  Annual wellness/sport benefit

·  Collective agreement, pension, insurance and parental pay allowance

·  Access to free services providing support and counselling

·  Flexible working arrangements and hybrid work arrangement for most roles 

New Office Location

Our office is currently located in Solna, however we are very excited to be moving to a beautiful new location in central Stockholm at the end of 2025. Our future address will be Fleminggatan 14 in Kungsholmen, just a short walk from Stockholm Central Station. 

Whilst some roles do have certain requirements which are essential, we try to focus on hiring based on potential rather than CV as much as possible. If you are unsure you fully meet the requirements, we would still love to hear from you!

All Dun & Bradstreet job postings can be found at https://www.dnb.com/about-us/careers-and-people/joblistings.html and https://jobs.lever.co/dnb. Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com.

#LI-DNI