This position is posted by Jobgether on behalf of a partner company. We are currently looking for a
Lead Data Scientist
in
India
.As a Lead Data Scientist, you will drive the design, development, and deployment of cutting-edge AI and machine learning solutions, including GenAI-powered systems and NLP applications. You will lead a high-performing, global team, mentoring junior data scientists while shaping AI strategy and best practices across projects. Your work will span the entire data science lifecycle—from problem identification and model development to deployment and performance monitoring. This role offers the opportunity to influence enterprise-scale solutions, deliver high-impact insights, and foster a culture of innovation and continuous learning in a collaborative, fast-paced environment.
Accountabilities
- Define AI and machine learning strategy, tooling choices, and best practices for model building, prompt engineering, and vector retrieval systems
- Architect, develop, and deploy large-scale ML and GenAI products and pipelines
- Lead all stages of data science projects, including requirement gathering, exploratory data analysis, model benchmarking, validation, and production deployment
- Mentor and guide junior data scientists, fostering skill development and a culture of innovation
- Collaborate with cross-functional teams and stakeholders to ensure alignment and timely delivery of high-value AI solutions
- Establish coding standards, perform code reviews, and optimize workflows for efficiency and scalability
- Drive monitoring, scaling, and operational strategies for production models and services
Requirements
- Hands-on experience with large language models (OpenAI, Anthropic, Llama), prompt engineering, fine-tuning/customization, and embedding-based retrieval
- Expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF2, Hugging Face Transformers)
- Deep understanding of ML & Deep Learning architectures for NLP, GNNs, and multimodal systems
- Strong grasp of statistics, probability, and mathematical foundations of AI
- Proven experience leading at least one end-to-end GenAI or advanced NLP project (custom NER, table extraction, Q&A, summarization, OCR integrations, or GNN solutions)
- Familiarity with orchestration and deployment tools (Redis, Flask/Django/FastAPI, SQL, R-Shiny/Dash/Streamlit)
- Advanced degree (Master's or PhD preferred) in Computer Science, Statistics, Mathematics, or related field
- 6+ years of relevant experience in Data Science/AI, with at least 2 years in a leadership role
- Excellent communication, collaboration, and problem-solving skills
- Prior experience in financial, market intelligence, or risk analytics domains is a plus
- Contributions to open-source projects, GitHub, Kaggle, technical blogs, or publications are desirable
Benefits
- Competitive salary with performance-based incentives
- Health and wellness coverage designed for both mind and body
- Flexible time off to support work-life balance
- Access to continuous learning resources, certifications, and educational support
- Retirement planning with company contributions and financial wellness programs
- Family-friendly perks and support for partners and children
- Employee recognition programs, retail discounts, and referral incentives
- Opportunity to work in a global, innovative, and inclusive environment
Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.📊 It compares your profile to the job's core requirements and past success factors to determine your match score.🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.Thank you for your interest!
