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 an AI-based data science platform and get a chance to work with cutting-edge technologies including. 

 

Our next steps: 

✅ Submit a CV in English — ✅ Intro call with a Recruiter — ✅ 1-2 Client interviews — ✅ Offer

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