Remote Junior data scientist Jobs – 7 Open Jobs Today

Lead Data Scientist
Technology Next —Remote
- ₹90,000 - ₹1,30,000 a month
- Full-time
- Remote
- Azure
- Computer Science
- Master's degree
Quick apply
Lead Data Scientist
Delphic Global —Remote
- ₹1,00,000 - ₹1,30,000 a year
- Full-time
- Remote
- Master's degree
- SQL
- Analysis skills
Quick apply
Lead Data Scientist
TECH NEXT —Remote
- Full-time
- Remote
- Azure
- Master's degree
- Databases
Quick apply
Data Science Lead (India)
Codvo.ai —Remote
- Remote
- Azure
- Master's degree
- Databases
Software Engineer – AI/ML
Revolite Infotech Pvt. Ltd —Remote
- Up to ₹16,00,000 a year
- Full-time
- Remote
- Computer Science
- Master's degree
- AWS
Quick apply
AI Architect
Cotiviti —Remote
- Full-time
- Remote
- Azure
- Computer Science
- Master's degree
Principal AI Engineer
Cotiviti —Remote
- Full-time
- Remote
- Azure
- Computer Science
- Master's degree

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Lead Data Scientist

Technology Next -
Remote

Quick apply

Job details

Full-time | Contractual / Temporary
₹90,000 - ₹1,30,000 a month

Qualifications

TensorFlow
Statistics
Azure
Data mining
Law
Computer Science
R
Master's degree
Databases
SQL
AWS
Bachelor's degree
Machine learning
Mentoring
Natural language processing
Semantic Web
Data science
Data visualization
AI
Python
Data Science

Full job description

Lead Data Scientist

Job Title: Lead Data Scientist
Employment Type: C2C Contract
Experience: 6–8 Years
Work Location: Remote

Job Overview

We are looking for an experienced Lead Data Scientist to lead the development of advanced AI, Machine Learning, Generative AI, NLP, and Agentic AI solutions.

Key Responsibilities

Lead the design, development, and deployment of ML and Generative AI solutions.
Build intelligent systems using LLMs, RAG, and Agentic AI frameworks.
Design and implement enterprise-grade RAG pipelines and semantic search solutions.
Develop NLP solutions for:
Text processing
Entity extraction
Classification
Summarization
Information retrieval
Dialogue management
Develop, train, evaluate, and deploy ML and Deep Learning models.
Perform feature engineering, data preparation, model validation, and optimization.
Design ensemble learning approaches to improve model performance.
Develop model explainability and transparency frameworks.
Conduct model benchmarking, validation, bias testing, and performance analysis.
Evaluate emerging AI technologies and identify innovative solutions for business problems.
Work closely with engineering, product, and business teams to translate requirements into scalable AI solutions.
Deploy and monitor AI/ML solutions in production environments.
Mentor junior Data Scientists and promote AI/ML best practices.
Contribute to Responsible AI, governance, and model lifecycle management.

Required Skills & Qualifications

Bachelor's or Master's degree in Computer Science, Data Science, AI, Statistics, Mathematics, or a related field.
6–8 years of experience in Data Science, Machine Learning, AI, or related areas.
Strong programming skills in:
Python
R
SQL
Hands-on experience with:
TensorFlow
PyTorch
Scikit-learn
Strong experience with:
Generative AI
Large Language Models (LLMs)
LangChain
Transformer-based models
RAG
Agentic AI
Strong understanding of machine learning algorithms, statistics, model evaluation, and optimization.
Experience deploying ML/AI models into production environments.

Technical SkillsGenerative AI & LLM

Generative AI
Large Language Models
RAG
Prompt Engineering
Agentic AI
LangChain
Transformer Models
LLM Evaluation & Optimization

NLP

Natural Language Processing
Text Processing
Entity Extraction
Semantic Search
Information Retrieval
Text Classification
NLP Pipeline Development
Dialogue Management
Summarization

Machine Learning & Data Science

Machine Learning
Deep Learning
Model Development
Ensemble Learning
Feature Engineering
Model Validation
Model Benchmarking
Explainable AI
Bias Testing
Performance Optimization
Predictive Modeling

Data & Analytics

Data Mining
Statistical Analysis
Data Preparation & Cleansing
SQL
Data Visualization
Business Insights

Preferred Qualifications

Experience with AWS, Azure, or GCP.
Experience deploying Generative AI solutions in enterprise environments.
Knowledge of Vector Databases and semantic search technologies.
Experience with MLOps and ML lifecycle management.
Knowledge of Responsible AI and AI Governance.
Previous experience leading Data Science initiatives or mentoring Data Scientists.
Experience working with cross-functional engineering and product teams.

Leadership Expectations

Provide technical leadership across AI/ML initiatives.
Drive adoption of best practices in model development and deployment.
Guide AI/ML architecture and technology decisions.
Collaborate with engineers, product teams, and business stakeholders.
Mentor junior team members and contribute to building AI capabilities.
Encourage innovation, experimentation, and continuous learning.
Stay current with emerging GenAI, LLM, NLP, and Agentic AI technologies.

What Success Looks Like

Successful delivery of AI/ML projects within agreed timelines.
Improved model accuracy, scalability, and business impact.
Successful implementation of RAG, NLP, GenAI, and Agentic AI solutions.
Strong model explainability, validation, and governance.
Effective bias testing and model performance improvement.
Successful mentorship and technical leadership.
Continuous optimization through benchmarking, evaluation, and feedback loops.

Pay: ₹90,000.00 - ₹130,000.00 per month

Work Location: Remote

Quick apply

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