ABOUT THE PROJECT

Fast-growing InsurTech start-up building an innovative AI, Machine Learning platform aiming to change the life insurance industry. They are helping insurers to become data-driven and produce insights to inform decision-making and drive new business strategies at the corporate level.

REQUIREMENTS

– +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)
– Experience in Insurance or Fintech
– 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
– Experience working with reporting tools such as PowerBi/Tableau

RESPONSIBILITIES

– 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 WE OFFER

– People-first management with minimal bureaucracy
– A friendly company culture, proven by employees who choose to return
– Flexible working hours
– 29 days of PTO (18 working days per year plus all national holidays)
– 10 paid recovery days
– Full financial and legal support for independent contractors
– Free English classes, with native speakers or Ukrainian teachers
– Dedicated HR support

COMPENSATION & BENEFITS

– Intro call with a Recruiter
– Intro with the client
– Tech interview
– Final client interview
– Offer