Data Scientist

For our Client from banking industry we are looking for Expert Data Scientist.

• Expert in statistics, Python, T-SQL, Power Query, DAX, MS Power BI / MS Power Platform, GIT.
• Strong professional experience in T-SQL, DAX.
• Professional experience using Python for ML and data wrangling.
• Experience in one or more Business Intelligence tool as MS Power BI (preferred).
• Deep knowledge of statistical techniques for descriptive and predictive analytics.
• Data mining or extracting usable data from valuable data sources.
• Using machine learning tools to select features, create and optimize classifiers.
• Excellent presentation skills.
• ITIL Foundation certified or proven work experience in IT Service Management.
• Lean-Agile trained or certified (Scrum or SAFe).
• Academic degree in Science, Software Engineering, Mathematics, Statistics or similar.
• Proven work experience with minimum 2-3 years in similar role.
• Fluency in English.

• Developing IT Service Management data based Machine Learning models including Deep Learning, Neural Networks.
• Increasing IT Stability by identifying, quantifying and mitigating IT issues and risks by using Advanced Analytics (predictive / prescriptive analytics - Machine Learning and more) to either prevent or reduce risks or providing service improvement plans into CSI.
• Automating the IT Ops reporting area, including Suppliers’ Performance by implementing Gen AI self-reporting solution(s).
• Automated root cause identification of business critical IT systems instability.
• Minimizing MTRS and/or probability of reoccurring incident or probability of a change to cause an incident, building the Neural Network setting optimal values of the ML factors (reporting Deep Analysis).
• Generative AI model(s) of fully automated, customized self-reporting solutions using AI.
• Supporting Incident Management, Problem Management, Change Management, Operational Service Improvement, Suppliers Performance Management/Suppliers’ Supervision, Service Areas/Domains.
• Developing and maintaining solutions in Power BI Service / Microsoft Fabric.
• Co-creating novel ideas with stakeholders.
• Co-building a future Insights Data Analytics service.
• Working with hypothesis to prove or reject business statements.
• Hypothesis testing and designing statistical models.
• Building advanced reports/dashboards.
• Analysing, processing and modelling data, interpreting the results to create actionable insights.
• Ensuring complete collection and quality of data while adhering to best data practices.
• Working within SAFe Scrum Team with the aligned autonomy.

Hybrid working model: remotely + on-site in Gdynia, Gdansk or Warsaw. 60% days working from the office, 40% from home (calculated on a monthly basis). Frequent domestic travelling required if not located in Tricity, at least twice a quarter.