Data Scientist Intern
IBM
Data Scientist Intern
Job Description
Data Scientist Intern
📋 Job Overview
As a Data Scientist Intern at IBM Consulting Client Innovation Centers, you will work on real projects with top professionals, focusing on areas like natural language processing and machine learning. This role offers the opportunity to drive innovation and adoption of new technology for a diverse range of clients globally.
📍 Location: Vilnius, LT (Remote/Hybrid)
💼 Career Level: Internship
🎯 Key Responsibilities
- Work on real projects with top professionals
- Drive innovation and adoption of new technology for clients
✅ Required Qualifications
- Education in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics, Operations Research, Physics or other natural sciences
- Coursework in mathematics, statistics, machine learning, and data mining, feature engineering
- High level of comfort with various data types and structures: structured versus unstructured data
- Experience in data cleaning, validation, integration
- Good understanding of multivariate statistical and machine learning algorithms, such as principal component analysis, neural networks, discriminant analysis, linear and logistic regression, k-nearest neighbors, classification and regression tree, etc.
🛠️ Required Skills
- Natural language processing
- Large language models
- Information integration
- Entity resolution
- Machine learning
- Ontologies
- Large-scale data management
- Development of statistical models
- Jupyter Notebooks
- Ollama
- Pandas
- Scikit-learn
- Matplotlib
- Github
- TensorFlow
- Flask/FastAPI
- Langchain/Langraph
- ChromaDB/FAISS
🎁 Benefits & Perks
- Opportunity to learn and develop career
- Encouragement to be courageous and experiment
- Continuous trust and support in an inclusive environment
- Flexible working pattern
Locations
- Vilnius, LT, India (Remote)
Salary
Estimated Salary Rangemedium confidence
300,000 - 600,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Natural language processingintermediate
- Large language modelsintermediate
- Information integrationintermediate
- Entity resolutionintermediate
- Machine learningintermediate
- Ontologiesintermediate
- Large-scale data managementintermediate
- Development of statistical modelsintermediate
- Jupyter Notebooksintermediate
- Ollamaintermediate
- Pandasintermediate
- Scikit-learnintermediate
- Matplotlibintermediate
- Githubintermediate
- TensorFlowintermediate
- Flask/FastAPIintermediate
- Langchain/Langraphintermediate
- ChromaDB/FAISSintermediate
Required Qualifications
- Education in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics, Operations Research, Physics or other natural sciences (experience)
- Coursework in mathematics, statistics, machine learning, and data mining, feature engineering (experience)
- High level of comfort with various data types and structures: structured versus unstructured data (experience)
- Experience in data cleaning, validation, integration (experience)
- Good understanding of multivariate statistical and machine learning algorithms, such as principal component analysis, neural networks, discriminant analysis, linear and logistic regression, k-nearest neighbors, classification and regression tree, etc. (experience)
Responsibilities
- Work on real projects with top professionals
- Drive innovation and adoption of new technology for clients
Benefits
- general: Opportunity to learn and develop career
- general: Encouragement to be courageous and experiment
- general: Continuous trust and support in an inclusive environment
- general: Flexible working pattern
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Answer 10 quick questions to check your fit for Data Scientist Intern @ IBM.
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~2 Minutes
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Data Scientist Intern
IBM
Data Scientist Intern
Job Description
Data Scientist Intern
📋 Job Overview
As a Data Scientist Intern at IBM Consulting Client Innovation Centers, you will work on real projects with top professionals, focusing on areas like natural language processing and machine learning. This role offers the opportunity to drive innovation and adoption of new technology for a diverse range of clients globally.
📍 Location: Vilnius, LT (Remote/Hybrid)
💼 Career Level: Internship
🎯 Key Responsibilities
- Work on real projects with top professionals
- Drive innovation and adoption of new technology for clients
✅ Required Qualifications
- Education in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics, Operations Research, Physics or other natural sciences
- Coursework in mathematics, statistics, machine learning, and data mining, feature engineering
- High level of comfort with various data types and structures: structured versus unstructured data
- Experience in data cleaning, validation, integration
- Good understanding of multivariate statistical and machine learning algorithms, such as principal component analysis, neural networks, discriminant analysis, linear and logistic regression, k-nearest neighbors, classification and regression tree, etc.
🛠️ Required Skills
- Natural language processing
- Large language models
- Information integration
- Entity resolution
- Machine learning
- Ontologies
- Large-scale data management
- Development of statistical models
- Jupyter Notebooks
- Ollama
- Pandas
- Scikit-learn
- Matplotlib
- Github
- TensorFlow
- Flask/FastAPI
- Langchain/Langraph
- ChromaDB/FAISS
🎁 Benefits & Perks
- Opportunity to learn and develop career
- Encouragement to be courageous and experiment
- Continuous trust and support in an inclusive environment
- Flexible working pattern
Locations
- Vilnius, LT, India (Remote)
Salary
Estimated Salary Rangemedium confidence
300,000 - 600,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Natural language processingintermediate
- Large language modelsintermediate
- Information integrationintermediate
- Entity resolutionintermediate
- Machine learningintermediate
- Ontologiesintermediate
- Large-scale data managementintermediate
- Development of statistical modelsintermediate
- Jupyter Notebooksintermediate
- Ollamaintermediate
- Pandasintermediate
- Scikit-learnintermediate
- Matplotlibintermediate
- Githubintermediate
- TensorFlowintermediate
- Flask/FastAPIintermediate
- Langchain/Langraphintermediate
- ChromaDB/FAISSintermediate
Required Qualifications
- Education in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics, Operations Research, Physics or other natural sciences (experience)
- Coursework in mathematics, statistics, machine learning, and data mining, feature engineering (experience)
- High level of comfort with various data types and structures: structured versus unstructured data (experience)
- Experience in data cleaning, validation, integration (experience)
- Good understanding of multivariate statistical and machine learning algorithms, such as principal component analysis, neural networks, discriminant analysis, linear and logistic regression, k-nearest neighbors, classification and regression tree, etc. (experience)
Responsibilities
- Work on real projects with top professionals
- Drive innovation and adoption of new technology for clients
Benefits
- general: Opportunity to learn and develop career
- general: Encouragement to be courageous and experiment
- general: Continuous trust and support in an inclusive environment
- general: Flexible working pattern
Tags & Categories
Answer 10 quick questions to check your fit for Data Scientist Intern @ IBM.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs