Internship - Data Science

Job description

IBM Baltic Client Innovation Center in Lithuania is seeking for students with interest & experience in one or more areas relevant to the knowledge engineering life cycle such as natural language processing, information integration, entity resolution, machine learning, ontologies, large-scale data management, development of statistical models.

Major Field of study: Prefer candidates from Mathematics, Statistics, Engineering, Computer Science or IT disciplines.

Auto req ID

93360BR
Country

Lithuania
Required Education

Non-Degree Program
Role ( Job Role )

Student/Intern
State / Province

VILNIAUS APSKRITIS
Primary job category

IT Specialist
Contract type

Internship
Employment Type

Full-Time
ERBP

Is this role a commissionable/sales incentive based position?

No
Travel Required

No Travel
IBM Business Group

GBS
Preferred Education

Bachelor's Degree
City / Township / Village

VILNIUS
EO Statement

IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Required Technical and Professional Expertise

• At least 6-month experience in one or more areas relevant to the knowledge engineering life cycle such as

• natural language processing,

• information integration,

• entity resolution,

• machine learning,

• ontologies,

• large-scale data management.

• English: Fluent.

Country

Lithuania
Preferred Technical and Professional Experience

• Application experience / knowledge of statistical techniques such as regression, correlation, classification and clustering methods.

• Experienced with industrial / academic projects in data mining and machine learning methods like SVM, Regression Modeling, Survival Modeling, Time Series Modeling, Market Basket Analysis, Bayesian / Neural Networks is a plus.

• Application experience / knowledge of linear programming, mathematical optimization, CPLEX algorithm is a plus.

• Ability to conceptualize the right analytical solution and algorithms to address specific business problems.

• Application experience / knowledge and hands on coding skills in Python/R, SAS/SPSS.

• Experience in Software Development, preferably Java and relational database access using SQL.

Secondary Job Category

Other Software Development & Support
Eligibility Requirements

N/A
New Collar Role

Yes