Data Scientist

This role covers the following activities

• Contribute to the roll out of the regional Analytics roadmap. Leveraging Analytics to improve our clients, partners and internal processes.
• Ensure usage of data to improve distribution process, to refine pricing and risk monitoring, to speed up the subscription and claim processes, and to combat the fraud
• Understand the business challenges and the objectives the analytics projects have to contribute to solve
• Translate a business issue under a mathematical/statistical formula or set of formulas
• Find appropriate sources of data
• Evaluate the quality and the wealth of the data, analyze them and present the results
• Present the results in a simple and efficient way to ensure a good understanding by all stakeholders of the project
• Guarantee the respect of the Analytics Modelling Governance when implementing a new model
• Guarantee the respect of the Project Governance and liaise with the IT department when implementing a new model
• Value assessment & monetization of Analytics initiatives
• Designing the probabilistic modelling of the business objectives
• Training and evaluating the machine learning models and designing models’ quality monitoring strategies through time.

What we offer

• Challenging environment with international set up
• Possibility to work with top professionals on the market
• Your ideas are very welcome. You can choose what to work on.
• Modern offices close to Palmovka metro station
• 25 days of holidays, 2 sick days, a day of leave for CSR activity
• Wide offer of other benefits (Cafeteria system, multisport card, contribution to pension insurance, meal vouchers, etc.)
• Professional internal or external trainings, language courses

Benefits

• Bonuses
• Cell phone
• Discount on company products / services
• Notebook
• Contributions to the pension / life insurance
• Flexible start/end of working hours
• Meal tickets / catering allowance
• Holidays 5 weeks
• Educational courses, training
• Cafeteria
• Refreshments on workplace
• Contribution to sport / culture / leisure
• Education allowance
• Sick days
• Occasional work from home
• Individual schedules of working hours
• Individual budget for personal growth

Your profile

• 1-3 years of experience in data science
• Strong programming skills in Python
• Experience with SQL
• Proficiency in machine learning algorithms and statistical modeling techniques
• Experience with data visualization tools, PowerBI preferred
• Excellent communication and interpersonal skills