Data Scientist

What makes you a great fit:

• +3 years of professional experience in Machine Learning;
• MSc / PhD in Computer Science / Mathematics / Statistics / Physics or equivalent;
• Proficiency in Python, SQL, Numpy, and Pandas;
• Industry experience from inception to production of ML models (such as time series, clustering, regression, and classification algorithms) and Tabular Data;
• Strong skills in data exploration, analysis, and visualization;
• Start-up industry experience — must;
• Team player, positive attitude, collaborative, good communication skills;
• Strong problem-solving skills, with experience breaking down a large problem into smaller, manageable components.
• Upper-intermediate English level;

Big advantage:

• Experience in Insurance or Fintech;
• Experience working with reporting tools such as PowerBi/Tableau

Your day-to-day in this position:

• 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.

Project description:

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.

They're growing and looking for a self-motivated individual with strong technical skills to work in a fast-paced environment on our Python Backend Development team. As part of this team, you’ll take an active role in developing AI-based data science platform and get a chance to work with cutting-edge technologies including.