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.

Data Science sit at the core of what we do at Dun & Bradstreet. We use modeling, statistics, analytics and visualizations techniques to develop new analytics solutions and solve customer problems.

Our focus is strong business acumen, coupled with the ability to communicate findings to both business and IT leaders in a way that can influence how an organization approaches a business challenge. Good Data Scientists will not just address business problems, they will pick the right problems that have the most value to the organization.

As part of Dun & Bradstreet's Data & Analytics team, you will participate in all aspects of modeling engagement, including design, development, validation, calibration, documentation, approval, implementation, monitoring, and reporting. You will research complex business issues and recommend solutions, including model features, end products and any data required to support growing Dun & Bradstreet initiatives.

Key responsibilities

Participate in all aspects of a modeling engagement, including design, data requirements, development, validation, calibration, documentation, approval, implementation, monitoring, and reporting

Develop Global Analytic Solutions inclusive but not limited to statistical models based on D&B’s established best practices, methodologies and tools

Research complex business issues and recommend solutions, including model inputs and end products, focusing on addressing specific customer needs and use cases

Serve as a Subject Matter Expert on predictive models within the Finance & Risk Solutions Europe Analytics team and with business users; consult with the business, as appropriate, on predictive modeling solutions

Identify business relevance of new methods and work with cross functional teams to create prototypes, assist in creating business cases and go to market strategies

Validate the performance of existing quantitative risk models and recommend changes when necessary

Drive timely retrieval of risk analytics data from existing systems to create algorithms that meet business needs

To succeed in this role, we believe you have

Ideally a Masters or Ph.D degree in a quantitative/applied field (Statistics, Econometrics, Computer Science, Operations Research, Mathematics, Engineering)

6 + years of data science roles, especially roles requiring cross-company collaboration

Hands-on experience applying modern machine learning techniques

Ability to program in statistical analysis languages, proficiency in programming languages (Python, R, SQL)

Experience in feature engineering, automation, network analysis or Natural Language Processing

Excellent communication and presentation skills

Fluency in written and spoken English

What we offer

Professional and interdisciplinary development opportunities: Access to (international) training and further education programs

Internal promotion opportunities and the chance to move to other areas of the company and learn new skills

A structured, practiced and appreciative feedback culture

Flexible working hours

An innovative office space in the Tower One in Frankfurt for progressive collaboration (www.one-frankfurt.de)

30 days' vacation plus various special leave options and anniversary bonuses

"Do Good" donation program to make donations to specific institutions with the support of D&B

Refer a friend program!

Company pension scheme with our partner "Gothaer"

Wellhub membership for a flexible & discounted selection of gyms

Subsidized job ticket

Subsidized workplace glasses if required

Access to free services providing support and counselling via an Employee Assistance Program

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.

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