Middle/Senior Data ScientistВакансия в архиве

Уровень зарплаты
з/п не указана
Требуемый опыт работы:
1–3 года

ELEKS Data Science Office is looking for Middle/Senior Data Scientist in Lviv.

About Client

Our customer is a global enterprise providing a broad range of risk, retirement and health solutions. We are working with Canadian office.

About Project

The project is a variable annuity risk management business solution supporting new product development, financial and regulatory reporting, enterprise risk management activities, and hedge program management and reporting. The product is an integrated high performance computing solution based on advanced parallel computing technologies, such as NVIDIA Tesla GPU (Graphics Processing Unit) hardware, and a purpose-built interactive grid computing middleware, which together significantly accelerate simulation based risk management from weeks and days to minutes or seconds, delivering real-time performance levels, and support for next-generation forecasting and decision-making. Technologies: Python, math models, HPC, parallel computing.

Main Responsibilities:

  • Getting insight into business problem, understanding the opportunity and value of analytical models for the customer
  • Envisioning and designing the solution, defining place of data science models within it
  • Collecting, transforming and preprocessing raw data to prepare it for analysis
  • Deriving descriptive statistics out of the preprocessed data
  • Building statistical and probabilistic models
  • Providing comparative research on different algorithms and models
  • Implementing the model in a form that can be easily used by engineers, documenting its interfaces
  • Delivering the model in a form that can be easily deployed and maintained
  • Providing supervision and guidance for junior staff, transferring knowledge
  • Contributing to DSO competency development

Mandatory Requirements:

  • Mathematics and Statistics background
  • Knowledge of Statistics (Data mining and Analysis), in particular: Classic probability, Bayes probability, distribution, mean, median, variance, covariance, correlation, inverse distribution
  • Knowledge of organizational structures, business strategies, approaches and techniques
  • Knowledge of business processes, areas and responsibilities
  • Understanding theoretical concepts of statistics/probability, data mining, machine learning
  • Knowledge and hands-on experience with one or more of the following: Matlab/Octave, R, Python
  • Familiarity with the concept of HPC, parallel computing
  • Strong English verbal and written communication skills

Would be a plus:

  • Knowledge of mathematical and financial risks terminology
  • Finance: Basic instruments (share, bond, interest rate, currency, option, forward, future etc.), Basic Stock operations (short position, long position etc.)
  • Insurance and actuarial science: Risk management, Fund management, Insurance product types
  • Programming: Understanding of parallel/distributed programming, Understanding of stochastic simulation


  • Master degree in Mathematics, Physics, Computer Science or similar
  • In lieu of degree: evidences of having relevant level of theoretical knowledge in statistics/probability, data mining and machine learning

What will you get with ELEKS:

  • Above average compensation and competitive Social package
  • Close cooperation with a customer
  • Possible business trips
  • Challenging tasks
  • Competence development
  • Team of professionals
  • Dynamic environment with low level of bureaucracy


ELEKS is a global vendor of software solutions and software engineering services. The company established in 1991 and currently has over 1000 employees. We have development centers in Ukraine and Poland and representative offices in the USA and UK. We work with a number of clients from the IT, Financial Services, Media, Entertainment, Local Government, Healthcare, Legal and other sectors.

Ключевые навыки


Тип занятости

Полная занятость, гибкий график
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