Job Description

ph3Shape the Future with Dun Bradstreet /h3 pAt Dun Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. For over 180 years, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! /p pAs 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. /p h3Responsibilities: /h3 ul liAssist in utilizing data science techniques, including supervised and unsupervised machine learning, Natural Language Processing, and graph analysis, to automate and scale internal business processes. /li liProvide technical/subject matter expertise in various analytical tasks, including design, development, validation, calibration, documentation, implementation, monitoring, and reporting. /li liAssist in developing global analytic solutions, including statistical models, based on established best practices, methodologies, and tools. /li liEstablish and maintain relationships with key business stakeholders to understand their needs and provide analytical support. /li liEngage with clients and colleagues to identify business needs and contribute to the development, implementation, and management of analytical solutions. /li liResearch business issues and recommend solutions, including model inputs and end products, focusing on specific customer needs and use cases. /li liProvide analysis and drive modern solutions and efficiencies in our processes. /li liCollaborate with internal and external stakeholders on data compilation, analysis, and quality assurance. /li /ul h3Requirements: /h3 ul liBachelor’s degree in Data Analytics/Data Science, Information Systems, Computer Science, Mathematics or a related field. Master’s Degree is a plus. /li li2+ years of experience with Python, SQL, or similar. /li liStrong technical aptitude with proficiency in Microsoft Office suite. /li liExperience with data visualization tools like Tableau, Power BI, or similar is a plus. /li liAbility to interpret and translate data into meaningful business insight. /li liResults-oriented and capable of working independently while managing multiple priorities. /li liAbility to operate with a sense of urgency and meet critical deadlines. /li liExcellent organization, decision-making, and analytical skills. /li liExcellent verbal, written and interpersonal communication skills. /li liShow 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. /li liContinuous 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. /li liFluency in English and one of Scandinavian languages. /li /ul h3Why Join Us? /h3 pDoes 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. /p pSome of our benefits in Norway include: /p ul liBeautiful modern office in central Oslo with frequent social events /li li25 days holiday per year plus 5 extra days off at Christmas and Easter /li liTwo paid volunteer days to contribute to causes in your community /li liSponsored gym membership (up to 250kr per month) /li liFree group training two days a week with personal trainer /li liFree use of training facilities at the office /li liAccess to company cabin /li liCanteen with discounted lunch prices /li liA focus on a healthy work life balance with access to great health insurance and pension /li liAccess to free services providing support and counselling /li liFlexible working and hybrid working arrangements for most roles /li /ul pbWhilst 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