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.
Our AI team in Minsk is looking for new talents for the role of Data Scientist critical for success of projects related to Natural Language Processing, Data Capturing, Content Understanding and Information Retrieval domains.
You will be responsible for research and development of intelligence behind natural language processing, content understanding and enrichment, and/or information retrieval solutions as part of IHS Markit products. Your role is needed to implement intelligent content understanding pipelines from raw data to a structured knowledge, from user’s query to a deducted answer.
Your duties will include:
Performing data science tasks in the AI/NLP team
Researching, experimenting, prototyping and building models and components for content understanding pipelines, including state of art neural architectures for NLP (and some Computer Vision) domain – model selection, pre-training, fine-tuning, optimization, etc. on latest GPU hardware
Developing, transforming and reinforcing the quality datasets needed for specific natural language processing tasks
Mentoring Junior Data Scientists
You are a data scientist experienced in building the working intelligent solutions related to analysis of unstructured content, who is motivated by complex and fuzzy challenges. Your required qualifications and experience include:
Bachelor’s degree in data science, math & computer science, statistics or related field
2+ years of professional experience in data science, DL/ML with application to natural language processing
Strong programming skills — Python
Strong practical experience in building of own DL models with TensorFlow, Keras and/or PyTorch, etc.
Solid understanding of statistics and math behind deep learning
Experience with data analysis tools
English language (B1+)
The following will hugely increase our interest:
MS or PhD degree in related field
Publications in related domain
Familiar with algorithms and data structures
Linux user experience
What we offer:
28 days of annual leave
Health insurance for you and family members
Business travel insurance
Employee stock program
Paid medical leave
6 days-off in a year
Sport activities reimbursement
IHS Markit is committed to providing equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by the laws and regulations in any of our locations.
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.
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If you are currently employed by IHS Markit, please apply internally via the Workday internal careers site.