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About Us

IHS Markit is a global information company that provides expertise, data and solutions to 50,000+ customers helping them in making more informed decisions. Our research and development center in Minsk focuses on creation of three intellectual platforms of IHS Markit related to engineering and manufacturing domains. This includes scalable cognitive engines that help users – engineers, innovators, and researchers – to discover and leverage knowledge locked in corporate repositories as well as in industry sources.

About Project

Digital Transformation happens right now in enterprises all over the world. The UltraViolet project being developed by the IHS Markit company helps the customers to overcome challenges it entails and completely exploit new capabilities it unlocks. We create new solutions, like intelligent personal assistants for enterprise engineers. These are SaaS solutions that link together disparate data and knowledge sources; analyze structured and unstructured data; link the data and extract knowledge; solve specific data-driven tasks for our customers. Our tools and expertise are Natural Language Processing, Knowledge Graph, Information Retrieval, Deep Learning and Big Data. This is a complex greenfield project that follows modern development/operation approaches and summarizes many years of our experience in this field. It greatly impacts how our customers will operate tomorrow.

Your duties will include:

  • Development of Machine learning models for Deep Semantic Search system.

  • Development of ranking models based on Gradient Boosting Trees and on Deep Learning methods

  • Building the attributes for ranking models

  • Defining requirements for data decomposition 

  • Defining requirements for data preprocessing

  • Responsibility for ranking models for information retrieval tasks

  • Assessment of informational retrieval models quality

  • Implementation and maintenance of algorithms and processes for information retrieval tasks

  • Responsibility for highlighting models to explain Deep Learning approaches in information retrieval.

  • Improving information retrieval models based on user behavior.

Your required qualifications and experience include:

  • You are knowledgeable about machine learning algorithms and methods for information retrieval tasks, relevancy, and recommendations.

  • 3 years or more as Data Scientist in NLP and information retrieval tasks

  • Strong experience in Python. Experience in Scala/Java/C++ is as a plus

  • Strong experience in Gradient Boosting Trees, Transformers

  • Strong experience in Deep learning frameworks: Pytorch/Tensorflow

  • Strong experience in NLP preprocessing and NLP technique of machine learning

  • Proven experience in development of Information retrieval system

What we offer

  • Open and Collaborative Environment:

  • Fully remote position

  • Own product development based on science and technology

  • Personal growth and career development supported on corporate level

  • Support of self-study and research

  • Opportunity to contribute to the project architecture.

  • Development of own unique data-driven products that work out-of-the-box and loved by world top companies

  • Great colleagues and open atmosphere at workplace

  • Knowledge and discoveries sharing inside and outside the team

  • Participation in international workshops and conferences

  • Continuous education with invited tutors and paid online programs

Employee benefits:

  • English language classes

  • Employee stock options plans

  • Vacation time increase with tenure

  • Extended medical insurance for employees and their families

  • Personal accident coverage

  • Employee assistance program

  • Reimbursement of sports activities

  • Corporate and social events


Inclusion and diversity are critical to the success of IHS Markit, and we actively encourage applications from people of all backgrounds. We are committed to providing equal employment opportunity without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, status as a protected veteran, or any other protected category. For more information on the many ways in which we enthusiastically support inclusion and diversity efforts for both candidates and employees, please access our Inclusion & Diversity Statement here.

We are proud to provide reasonable accommodations to applicants with disabilities. If you are interested in applying for employment with IHS Markit and need special assistance or an accommodation to use our website or to apply for a position, please contact or call +1 212 849 0399. Determination on requests for reasonable accommodation are considered on a case-by-case basis. This contact information (email and phone) is intended for application assistance and accommodation requests only. We are unable to accept resumes or provide information about application status through the phone number or email address above. Resumes are only accepted through the online application process, and only qualified candidates will receive consideration and follow-up.

IHS Markit maintains a substance-free workplace; employees may be asked to submit to a drug test (where permitted by law).  In addition, as a federal contractor in the United States, the company participates in the E-Verify Program to confirm eligibility to work.

For information please click on the following links:

IHS Markit Business Code of Conduct
Right to Work
EEO is the Law
EEO is the Law Supplement
Pay Transparency


Current Colleagues

If you are currently employed by IHS Markit, please apply internally via the Workday internal careers site.