Data Scientist

What you will do:

Develop new tools, advanced analytical techniques and products.

Work with key clients, stakeholders to support development of proprietary analytical products, custom scores and effectively communicate analytical results to key stakeholders using strong data visualizations, superior presentation skills and business language to emphasize the “so what” of the analysis.

Project management including defining business and technical requirements, resource planning and analytical solution design.

Provide recommendations and market insights that support solving complex business problems

Ensure quality control of all analytical output.
 

What experience you will need:

You don’t have to tick all of the bullets below, but some of the following would be essential:

3+ years’ data science experience with strong knowledge of Python, SQL or R in a large data environment.

3+ years’ experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks.

3+ years’ proven hands-on experience designing, building and implementing analytical solutions to solve real world problems, with limited direct supervision required.

2+ years’ experience building models with the best packages including scikit learn, XGBoost, Tensorflow, PyTorch, Transformers.  

Bachelor’s or advanced degree in a quantitative discipline such as Engineering, Economics, Mathematics, Statistics, or Physics is essential

What could set you apart (nice to have skills):

A background in financial services especially credit risk modeling, telecommunications or utilities.

Experience working with credit or fraud data.

Experience with development and deployment of models in a cloud based environment such as AWS or GCP is preferred.

Master’s level degree in a business-related field/MBA.