Data Science Office

Who We Are

ELEKS’ Data Science Office (DSO) is the largest data science group in Ukraine and one of the two largest centres of machine-learning competence in the country. Originally a part of the Business Analysis Office, the DSO now focuses on gathering talented mathematicians, business analysts and software developers.

What We Do

We experiment with models, services and approaches to solve our customers’ business problems and implement comprehensive solutions that yield the greatest value. Data science is a creative field that requires the understanding of customers' needs and the demands of a variety of industries to offer and apply a customised mathematical approach to differing business requirements. Our data scientists oversee the entire process; from business analysis and mathematical modelling, to algorithm selection, solution implementation and integration.

Sergiy Shelpiuk

Head of Data Science Office

In the Data Science Office, we do not wait for the customer to tell us what to do. We constantly learn new technologies, models, methodologies and business disciplines to be able to show the customer how data science can transform a part of their business or the whole business overall.

DSO is an environment of growth, development, constant changes and challenges. We are open to experimentation, we encourage trial and error and we constantly strive for improvement. We believe that hard work is the key to growth and every Olympic champion starts from learning how to walk.

Oleksandra Kardash

Junior Data Scientist

At ELEKS DSO we have a great team that includes all levels of specialists, each with wide and differing knowledge bases. It is impossible not to develop in such a team, you always feel challenged.

In addition, DSO projects encompass a range of different domains, all executed using a variety of approaches and technology stacks. It is a really good opportunity to expand your expertise and bring something new to our open-minded team.

Taras Firman

Senior Data Scientist

The best thing about working in the DSO is the opportunity to study and surround yourself with like-minded people.

A wide range of tasks, flexibility in decision-making, a large selection of technologies and a special approach to each new challenge makes our job the most exciting in the IT sphere. If you want to do something really smart, join us.

key opportunities

As one of the most successful data science offices in Ukraine, ELEKS’ DSO offers an exceptional opportunity to learn from leaders.

Career growth through challenging real-life projects
Support and mentorship from some of the best professionals in the country
Numerous opportunities for education and professional development
Assistance in attending and participating in major tech, data science and machine-learning events
Supported initiatives, ideas and experiments
Published data science articles on ELEKS Labs and R&D Blog

Professional & Personal Development

Our Data Science Office is all about learning and developing. We offer an extensive list of knowledge items that are categorised according to three levels: qualified, competent and expert. Each knowledge item contains links to useful learning materials from reputable and renowned sources like Stanford University, Coursera or Udacity. Junior-level data scientists have a great opportunity to study by carrying out real-life projects. For those of you who would like to develop your soft skills, ELEKS offers helpful training programmes, including a special leadership programme for tech leads. Language acquisition and proficiency is an integral part of personal development; ELEKS’ in-house language school can help you with that. You can browse the full list of learning services at ELEKS University

Becoming a Part of DSO

We welcome seasoned professionals as well as junior data scientists who know how to work with Python, enjoy mathematical thinking and have a logical mind. There are three blocks of skills a data scientist needs to have to be a part of our team: business, logic and technology.

The business block

Defines the skills of communication with customer, identifying requirements and forming a vision

The logic block

Includes statistics, machine learning and artificial intelligence.

The technology block

Requires the skills for implementing the model as a complete component.