ppbWhy We Work at Dun Bradstreet /b /ppDun 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. /ppAs a data scientist and a part of Dun Bradstreet’s Analytics team, you will play a critical role in supporting our data science initiatives, engaging with clients and colleagues to identify business needs, and contributing to the development and implementation of analytical solutions. Additionally, you will use data science techniques to automate and scale our analytic capabilities as well as validate our predictive scores and recommend changes when needed. /ph3Responsibilities /h3ulliAssist in utilizing data science techniques, including supervised and unsupervised machine learning, Natural Language Processing, and graph analysis, to automate and scale internal business processes. /liliProvide technical/subject matter expertise in various analytical tasks, including design, development, validation, calibration, documentation, implementation, monitoring, and reporting. /liliAssist in developing global analytic solutions, including statistical models, based on established best practices, methodologies, and tools. /liliEstablish and maintain relationships with key business stakeholders to understand their needs and provide analytical support. /liliEngage with clients and colleagues to identify business needs and contribute to the development, implementation, and management of analytical solutions. /liliResearch business issues and recommend solutions, including model inputs and end products, focusing on specific customer needs and use cases. /liliProvide analysis and drive modern solutions and efficiencies in our processes. /liliCollaborate with internal and external stakeholders on data compilation, analysis, and quality assurance. /li /ulh3Requirements /h3ulliBachelor’s degree in Data Analytics/Data Science, Information Systems, Computer Science, Mathematics or a related field. Master’s Degree is a plus. /lili2+ years of experience with Python, SQL, or similar. /liliStrong technical aptitude with proficiency in Microsoft Office suite. /liliExperience with data visualization tools like Tableau, Power BI, or similar is a plus. /liliAbility to interpret and translate data into meaningful business insight. /liliResults-oriented and capable of working independently while managing multiple priorities. /liliAbility to operate with a sense of urgency and meet critical deadlines. /liliExcellent organization, decision-making, and analytical skills. /liliExcellent verbal, written and interpersonal communication skills. /liliShow an ownership mindset in everything you do; be a problem solver, be curious and be inspired to take action, be proactive, seek ways to collaborate and connect with people and teams in support of driving success. /liliContinuous growth mindset, keep learning through social experiences and relationships with stakeholders, experts, colleagues and mentors as well as widen and broaden your competencies through structural courses and programs. /liliFluency in English and one of Scandinavian languages. /li /ulh3Why Join Us? /h3pDoes 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: /pulliBeautiful modern office in central Oslo with frequent social events /lili25 days holiday per year plus 5 extra days off at Christmas and Easter /liliTwo paid volunteer days to contribute to causes in your community /liliSponsored gym membership (up to 250kr per month) /liliFree group training two days a week with personal trainer /liliFree use of training facilities at the office /liliAccess to company cabin /liliCanteen with discounted lunch prices /liliA focus on a healthy work life balance with access to great health insurance and pension /liliAccess to free services providing support and counselling /liliFlexible working and hybrid working arrangements for most roles /li /ulpbWhilst 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! /b /p /p #J-18808-Ljbffr
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