Senior Data Scientist
5 months ago
Are you a skilled Data Scientist with a proven track record of developing Machine Learning solutions that create commercial impact? Do you have a passion for working with data, leveraging advanced statistical and machine learning techniques to drive actionable insights and data-driven decisions?
If so, we want you to join our team as a Senior Data Scientist.
Danske Bank has a clear strategy to remain a leading Nordic Universal Bank. This will be achieved by continuing to develop our digital bank, delivering the best customer experience to as many people as possible in the relevant touch points, providing them with best possible advice about their financial situation.
As part of the Commercial Data Science Center of Excellence you will be working in our new modern office in Copenhagen and sit in a central part of Danske Banks commercial organisation. We support the Nordic countries (Denmark, Sweden and Finland) with Data Science projects.
We work closely with the development organization to deliver and integrate these solutions in our product offering such as the Mobile Bank, eBank, website and to frontline advisors.
We develop a wide range of models that identify customer needs and Life Events, used to present the customer with relevant messages and optimize our marketing activities.
Ultimately you will be working towards developing and automating data, AI and ML solutions that that can support Danske Banks commercial agenda.
Your Challenges
As our new colleague you will be joining the ongoing project focusing on customers’ life events and segmentation. Together with our Data Scientists, Data Engineers, and SME’s you will be embarking on a mission to get a better and more holistic understanding of our customers’ life journey. You will be involved in all stages of project’s life cycle and will contribute to mapping out major life events, uncover specific customer needs and design and timely and relevant solutions.
As a Data scientist you will:
Create definitions and logic of various data elements while closely collaborating with business units Ensure data quality, robustness and accuracy by implementing robust testing methodologies and frameworks Design data products tailored for various commercial initiatives Conduct advanced data analysis to uncover valuable insights and trends Visualize data and findings using tools and packages Develop predictive machine learning model on customer wants, needs and behaviour Communicate results and findings for the stakeholders Proactively engage with stakeholders and other teams to identify opportunities for data-driven solutions and improvementsAbout you
Do you recognise yourself in many of these statements?
3+ years of experience in data analysis & data science, preferably in the banking, financial or marketing sectors Experience Python, is a must At least intermediate proficiency in SQL Experience with Spark, is a great plus Former exposure to other advanced analytics technologies is a great plus Experience with hands-on data analysis & visualization Proficiency in data storytelling and ability to translate data-driven insights into compelling narratives and commercial opportunities Passion and curiosity for data science and advanced analytics field Strong ability to work proactively and independently address the challenges Analytical mindsetAbout the Department
We are a diverse team of Data Scientists, Data Engineers, and ML Engineers with colleagues in both Denmark, India and Lithuania. We have a very research-oriented culture and aim at staying up to date through various research projects with university partnerships across the greater Copenhagen area.
The Commercial Data Science CoE is part of Commercial Excellence where the commercial execution takes place. We play a vital role in developing Data and ML solution that support strategic initiatives and commercial activities.
We aim at creating a good social atmosphere by arranging events such as hackathons, board game nights, team days etc.
Deadline for applications is 4th August. If you have any questions regarding the role, please contact the hiring manager Rasmus Gansted Brink –
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