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Group Customer Value Management (CVM) is responsible for strengthening customer loyalty through proactive, relevant and tailored offers based on customer data. CVM will bridge the gap between customer expectations and our offerings.
Swedbank is the bank for the many. We believe in a diverse and inclusive work place, and we want all our employees to feel valuable and have the prerequisites to perform at their very best. Inspiring and learning from each other is what move us forward. Join us in our journey and find out more about us at: swedbank.com/work-with-us
About the job The Analytics & AI team is Swedbank's Center of Excellence for Data Science, Advanced Analytics, and Artificial Intelligence.
As a member of the Analytics & AI team, you will be part of a highly-prioritized, fast growing focus area within the Swedbank Group tasked with driving the digital transformation agenda at one of largest banks in the Nordics. You will be exposed to a broad and nuanced set of cases across many business areas and home markets in Swedbank.
As a Senior Data Scientist you have a central role in driving, executing and operationalizing analytical engagements, by leveraging machine learning and deep learning. Our portfolio of analytical services includes areas such as retail, strategical decision-making, anomaly and fraud detection and time-series prediction. You will also work closely with data engineers to support deployment of machine learning/deep learning models in a data lake environment by applying latest DevOps technologies and best practices from agile SW development.
Lastly, you will also have the possibility to specialize in one of Analytics & AI's competence domains – research groups aimed at applying market-leading knowledge as well as cutting-edge innovations to business problems.
What you need to succeed You have a genuine interest in solving complex statistical and data problems, a structured approach towards operational data science, a deep understanding of appropriate analytical algorithms and models and broad experience in leveraging relevant tools and methods. We expect you to have good knowledge in programming languages or high-level scripting such as Python and R as well as data operations and management in distributed systems especially Spark. You master all aspects of descriptive, predictive and prescriptive analytics.
You are part of and contribute to building strong teams in a creative environment in combination with genuine interest in applying innovative analytics tools and technologies together with your team.
As an individual you are a persistent problem solver with a strong innovation drive and a can-do attitude. You are comfortable with communicating the results of your work (both written and verbally in English) and enjoy a collaborative work environment. You take pride in translating data derived results into actions and decisions but also transform business vision and strategy to relevant analytical topics for development.
You are expected to be an expert in your field, and constantly keep up with trends and technologies; you seek and share analytical inspiration and best practices from both internal and external sources. You are expected to lead, assist and knowledge-share with others in the area of advanced analytics, and be able to work across the business with various subject matter experts and business analysts.
In the coming year, we focus on continuing the scaling up of areas concerned with development and operationalization especially with regards to deep learning and real-time streaming models. Building and automating end-to-end pipelines for ML/DL using open-source technologies on-prem and in the cloud will increase massively in importance.
Ability to translate business problems to data science as well as quantitative results to business actions
Computer science/engineering fundamentals
Applied mathematical statistics fundamentals
Distributed file system fundamentals
Machine/Deep Learning toolkit
Extensive experience with supervised and unsupervised learning
Programming (Python, R, Scala or Java)
Data base search & management (incl. big data platforms, ODBC/JDBC, SQL)
DevOps process and techniques/tools (e.g. CI/CD pipelines, Dockers/Kubernetes, Jenkins, Airflow)
Workload Management (incl. basic Spark Optimization & HIVE Partitioning concepts)
Streaming Analytics (e.g. Kafka and Flink)
Data visualization and storytelling
Agile development methodology
Meriting competence, skill and experience
Computer perception technologies (vision, speech and text)
End-to-end deep learning such as Tensorflow or PyTorch
Linux based Systems & Shell Scripting
Kaggler expert or master
Web technologies, micro-services and API development
What you may have worked with previously You have +4 years of experience from roles such as ML Engineer, Data Scientist, DevOps Engineer or SW backend developer. You have a master/PhD degree in mathematics/statistics, applied physics or computer science. You don't need to have previous experience from banking however it is important to demonstrate successful track record of delivering end-to-end machine learning and deep learning engagements.
Potential next steps in your career after this job This position provides excellent opportunities to gain better understanding of underlying market and customer drivers which can be leveraged later on in other managerial roles within Analytics & AI, sales & marketing roles and/or product/service development for private and corporate customers.
Why work with us? We are a highly skilled, dynamic team with broad diversity who take on challenges with a great deal of energy, passion and innovation. In our team we have an open and transparent atmosphere. We believe in giving a lot of freedom paired with the corresponding level of responsibility and accountability. We strive to achieve a good work/life balance and we are always open to new ideas and thoughts helping us improving as a team.
We want to inform you that the recruitment process may be delayed at the moment due to the current circumstances regarding COVID-19. Thank you for your understanding!
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