Senior IT Analyst – Data & ML Solutions, GDAŃSK GDYNIA

Must-have knowledge and experience:

- Implementation of AWS SageMaker in direct collaboration with data scientists who will be end users

- Communication skills

- Analytical thinking and problem solving

- Familiarity with basic concepts in machine learning, CI/CD pipeline, big data

- Knowledge of SQL and Python

Nice-to-have knowledge and experience:

- Implementation of model monitoring and ML Ops capabilities

- Integration of AWS SageMaker model output with cloud/hybrid/on-prem solutions

- Advanced knowledge of ML algorithms

- Knowledge of Spark/Scala

💻Ework Group - founded in 2000, listed on Nasdaq Stockholm, with around 13,000 independent professionals on assignment - we are the total talent solutions provider who partners with clients, in both the private and public sector, and professionals to create sustainable talent supply chains.

With a focus on IT/OT, R&D, Engineering and Business Development, we deliver sustainable value through a holistic and independent approach to total talent management.

By providing comprehensive talent solutions, combined with vast industry experience and excellence in execution, we form successful collaborations. We bridge clients and partners & professionals throughout the talent supply chain, for the benefit of individuals, organizations and society.

🔹 For our Client from banking industry we are looking for 🔹Senior IT Analyst – Data & ML Solutions🔹

Location: Gdańsk or Gdynia

Hybrid work: 3 days per week at the office.

Act as a bridge between business needs and developers to ensure the delivery of high quality IT solutions based on the requirements coming from business that need to be translated into functional and non-functional requirements.

We offer:

- B2B agreement

- Transparent working conditions with both Ework and the client

- Current support during our cooperation

- Possibility to work in an international environment

- Collaborative environment in Swedish organizational culture

,[Helping to design advanced solutions around data and analytics, Working closely together with stakeholders across the company to understand the expected outcome and elicit business features, Managing delivery dependencies towards other teams and organization units, Working in an Agile environment as an integral part of the cross-functional agile delivery team, Have a strong solution-oriented and analytical mindset, Thrive when working with complex end-to-end solutions and processes, Have ability to grasp new technologies quickly (on high level) and able to ask right questions, Is fluent communicator and have experience on working with business users] Requirements: AWS SageMaker, Data analysis, Machine learning, SQL, Python, MLOps, Scala, Spark