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Senior Data Scientist to Analytics & AI team i Stockholm, Tallin, Riga, Vilnius

Om tjänsten

About the job

The Analytics & AI team is Swedbank's Center of Excellence for Data Science and applied 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, strategic 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 by applying latest DevOps technologies and best practices from agile SW development, primarily on cloud platforms such as Azure.

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 (cloud based) 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 Data Science and applied AI, 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, real-time streaming models, and cloud computing technologies. 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.

Required competences
  • 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
  • Cloud fundamentals (Azure, AWS, GCP)
  • Machine/Deep Learning toolkit
  • Extensive experience with supervised and unsupervised learning Programming (Python, R, Scala or Java)DevOps process and techniques/tools (e.g. CI/CD pipelines, Dockers/Kubernetes, Jenkins, Airflow)
  • Workload Management (incl. basic Spark Optimization & HIVE Partitioning concepts)Data visualization and storytelling
  • Agile development methodology
Meriting competence, skill and experience
  • In-depth experience with ML platforms and pipelines in the Cloud (e.g. Azure Databricks, MLflow)
  • Computer perception technologies (vision, speech and text)
  • End-to-end deep learning such as Tensorflow or PyTorchLinux based Systems & Shell Scripting
  • Streaming Analytics (e.g. Kafka and Flink)
What you may have worked with previously

You have +4 years of experience from roles such as ML Engineer, Data Scientist, DevOps Engineer or Cloud Architect. 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 preferably on cloud platforms.

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 roles within Analytics & AI, sales & marketing roles and/or product/service development for private and corporate customers.

Why work with me? - Nima Ghorbani

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!

Nothing of interest for you – recommend the job to a friend!

We have made our choice regarding recruitment media and therefore kindly decline contact with ad sellers or sellers of other recruitment services.

 

Publicerad den

29-02-2024

Extra information

Status
Stängd
Ort
Stockholm, Tallin, Riga, Vilnius
Typ av kontrakt
Heltidsjobb (förstajobb)
Typ av jobb
Kontor / Administration , IT
Körkort önskas
Nej
Tillgång till bil önskas
Nej
Personligt brev krävs
Nej

Kontor / Administration | IT | Heltidsjobb (förstajobb)