End to end data science cycle: designing, training, implementing, evaluating and monitoring machine learning models
Customer Churn Model, Forecasting, Segmentation, Classification and Regression
Collaborate with product managers and customers to understand business needs and build solutions together
Effectively identify and apply analytics, causal inference, experimentation, and machine learning techniques for given business problems
Present your research and insights to all levels of the company (English is a must)
What are we looking for:
+3 years professional experience in Machine Learning
BSc in Computer Science / Mathematics / Statistics / Physics or equivalent (MSc / PhD – advantage)
Proficiency in Python and SQL
Industry experience from inception to production of ML models (such as time series, clustering, regression and classification algorithms)
Strong skills in data exploration, analysis, and visualization
Team player, positive attitude, collaborative, good communication skills
Strong problem-solving skills, with experience breaking down a large problem into smaller, manageable components. Makes things happen
It will also be great if you have:
Experience in Insurance or Fintech
Experience working with reporting tools such as PowerBi/Tableau
Experience in Insurance or Fintech
Experience working with reporting tools such as PowerBi/Tableau
