Principal, Data Scientist
Job Summary
Job Description
Dun & Bradstreet is seeking a Principal Data Scientist for their Norwegian office. This role involves developing new analytics solutions and solving customer problems using modeling, statistics, analytics, and visualization techniques. The ideal candidate will possess strong business acumen and the ability to communicate findings effectively to both business and IT leaders. Responsibilities include participating in all aspects of modeling engagement, from design and development to implementation and reporting, as well as researching complex business issues and recommending solutions. The role also requires acting as a Subject Matter Expert on predictive models and collaborating with cross-functional teams to create prototypes and business cases.
Must have:
- Masters or Ph.D. in a quantitative field
- 10+ years of data science experience
- Hands-on machine learning experience
- Proficiency in Python, SAS, SQL
- Excellent communication skills
- Fluency in English and Norwegian or Swedish
Good to have:
- Experience in feature engineering
- Experience in automation
- Experience in network analysis or NLP
- Experience in the banking/finance sector
- Credit scoring modeling experience
Perks:
- Modern office in central Oslo
- 25 days holiday plus extra days off
- Two paid volunteer days
- Sponsored gym membership
- Free group training with personal trainer
- Free use of training facilities
- Access to company cabin
- Discounted lunch prices
- Healthy work-life balance
- Health insurance and pension
- Access to support and counselling services
- Flexible and hybrid working arrangements
8 skills required
Job Details
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 sits 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.
We are so pleased to now be looking for a Principal, Data Scientist for our Norwegian office. 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)
- 10 + 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, SAS, SQL)
- Experience in feature engineering, automation, network analysis or Natural Language Processing
- Excellent communication and presentation skills
- Experience from the banking and finance sector, particularly within credit scoring modeling or from working with credit bureaus, is highly desirable
- Fluency in written and spoken English and either Norwegian or Swedish is required for this role
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 Norway include:
· Beautiful modern office in central Oslo with frequent social events
· 25 days holiday per year plus 5 extra days off at Christmas and Easter
· Two paid volunteer days to contribute to causes in your community
· Sponsored gym membership (up to 250kr per month)
· Free group training two days a week with personal trainer
· Free use of training facilities at the office
· Access to company cabin
· Canteen with discounted lunch prices
· A focus on a healthy work life balance with access to great health insurance and pension
· Access to free services providing support and counselling
· Flexible working and hybrid working arrangements for most roles
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.
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