Data Scientist

This job has now expired please search on the home page to find live IT Jobs.

Our client is at a transformational moment in their company journey. Each day, they are finding new ways to strengthen their award-winning culture and to accelerate creativity, innovation, and growth. The client's purpose is to help customers improve business performance with their own Data Cloud and Live Business Identity. So, if you're looking to make an immediate impact at a company that welcomes bold and diverse thinking, come join their team!As a Data Scientist, you will support both B2B and B2C initiatives in the credit risk space for European markets. In this exciting role, you will bring a mix of advanced analytical skills, credit risk knowledge, and client/stakeholder relationship management to build new insights and analytical solutions that drive company growth. In addition, you will have the chance to utilize credit scoring best practices as well as the latest data science techniques across both supervised and unsupervised machine learning methodologies, while enhancing the visual storytelling.The Data Scientist will participate in all aspects of a modeling engagement, including design, development, validation, calibration, documentation, approval, implementation, monitoring, and reporting. You will also research complex business issues and recommend solutions, including model features and end products and any data required to support growing the client's initiatives.Key ResponsibilitiesApply statistical and machine learning concepts to develop supervised and unsupervised models in the area of credit risk.Participate in all aspects of a modeling engagement, including design, development, validation, calibration, documentation, approval, implementation, monitoring, and reportingEngage with clients and cross-functional teams to identify business needs and develop, implement, and manage solutions.Analyze internal raw and structured data, and investigate alternate data sources by discovering patterns utilizing data engineering, data mining, and visualization methods to support business needs.Research complex business issues and recommend solutions, including model inputs, feature engineering, model design frameworks, and end products that drive innovation for the company.What they are looking for:Academic university degree in statistics, econometrics, mathematics, computer science, economics and / or civil engineering. Strong academic profile. Good knowledge of Python and SQL, experience in SAS / SAS Viya could be beneficial. Good hands-on experience of data processing libraries (Python: pandas, numpy, pyspark, etc.), visualization (Python: seaborn, plotly, etc.) and modeling/ machine learning (Python: scikit-learn, xgboost, etc.).1+ years of experience working with statistical models and /or machine learning in the area of business or consumer credit risk, and fraud solutions for both supervised and unsupervised learning. A good understanding of machine learning model explainability is an advantage.What they offer: Opportunity to work with hundreds of thousands of data points.Work closely with the business including stakeholders in the growth, finance and product teams.Stability of a large global organization with the feeling of a small autonomous environment.Lots of progression opportunities and room to grow personally, discuss what you're working towards from day 1.Work on exciting projects at a global scale for international customers.If you'd like more information please send your CV and contact me at:Benjamin [email protected]+358 9 42452358https://www.linkedin.com/in/benjaminwilsonlake/Whilst this position offers remote working all candidates must be located inside Finland with a valid work Visa.All interviews will be carried out remotely.