Ref.: 12/22/21BWL12

Data Scientist - Helsinki

Finland

Descripción del puesto

Data Scientist - Helsinki

12/22/21BWL12

Our client is a leading global provider of business decisioning data and analytics for almost 200 years. They have helped partners grow and thrive through the power of data, analytics and data-driven solutions. With more than 6000 employees globally, they are guided by the important values that make them an established leader in business decisioning data and analytical insights, which are delivered through the client's own Data Cloud and the solutions it powers. Comprising hundreds of millions of business records, curated from tens of thousands of sources, and tens of millions of web pages, their Data Cloud helps clients improve the performance of their organizations both at departmental levels, as well as across their businesses.


The client is uniquely able to give you the insights you need on customers, suppliers, and other business partners. They leverage machine learning/artificial intelligence (AI), as well as apply the latest statistical technologies and methodologies to build the highest performing predictors, ratings, scores, and advanced analytical models.


Nearly 90% of the Fortune 500™, and companies of every size around the world, rely on our client!


Key Responsibilities



  • Apply 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 reporting

  • Engage with clients and cross-functional teams to identify business needs and develop, implement, and manage solutions.

  • Analyze internal raw and structured data, 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, 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 Wilson-Lake


b.wilson-lake@frankgroup.com


358 9 42452358


https://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.