Data Scientist

About us:

JATO Dynamics is a global company and the leading provider of automotive market intelligence. With an insight into over 50 overseas markets, we deliver the world's most complete, accurate and up-to-date automotive data and insights, creating significant competitive advantage to our customers.

JATO

Our vision.

About the role:

This is an exciting opportunity for a talented Data Scientist to join our dynamic global team. In this role, you will apply Natural Language Processing (NLP), Machine Learning, and AI techniques to unlock valuable insights from our extensive data assets and drive data-led innovation across the business.

You will play a key role in designing, developing, and maintaining critical components of our data and AI pipelines, supporting the deployment, monitoring, and continuous improvement of advanced analytical models. Working closely with cross-functional teams, you will help transform complex data into actionable insights that inform strategic decision-making.

This is a hybrid role based in our Aerocity office in Delhi, India. Successful candidates must be available to start by the end of October.

Key Responsibilities:

• Collaborate with the Data team to develop and enhance data pipelines using Natural Language Processing (NLP) techniques and tools such as NLTK and SpaCy.
• Design, build, and validate AI/ML models to identify entities and accurately map them to JATO's internal datasets across multiple use cases and data sources.
• Expand and improve existing capabilities to process and analyse both text and image-based data.
• Support the deployment, monitoring, maintenance, and continuous improvement of AI and machine learning solutions in production environments.
• Contribute actively within the Data Science team by sharing knowledge, best practices, technical expertise, and innovative ideas.
• Partner with stakeholders across the business to deliver meaningful data visualisations, insights, and analytical solutions that support decision-making.
• Keep abreast of emerging trends and advancements in AI, with a particular focus on Large Language Models (LLMs), Small Language Models (SLMs), Prompt Engineering, Retrieval-Augmented Generation (RAG), and Agentic AI approaches.

Key Requirements:

• Advanced degree in Data Science, Machine Learning, Statistics, Mathematics, or a related field.
• 3-7 years of experience in Data Science, AI, or a similar analytical discipline.
• Hands-on professional experience with AI engineering, including AI agents, LLMs, chatbot development, prompt engineering, and model fine-tuning.
• Strong knowledge of NLP techniques and modern machine learning approaches.
• Proficiency in the end-to-end data science lifecycle, including data preparation, modelling, evaluation, and insight generation.
• Proficiency with Python and/or R, and machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Familiarity with relational and NoSQL databases.
• Passion for solving complex business problems through data-driven research and analysis.
• Fluent in English, combined with excellent communication and presentation skills, with the ability to explain technical concepts to non-technical audiences.
• Self-motivated, proactive, and able to work independently in a fast-paced environment.

What We Offer:

• Performance-based bonus in addition to base salary.
• Comprehensive benefits package including health insurance, retirement plan, and enhanced paid time off.
• Professional development opportunities.
• Collaborative, innovative and global work environment.

Who are we?

JATO

Our vision.

Our values

JATO Core Values

Explore Careers and Life at JATO

JATO Dynamics is a global business and our success is attributed to the diversity, skills and experiences of our colleagues across the world. We are proud to be an equal opportunity employer and are committed to equal employment opportunity regardless of race, sex, age, gender identity, sexual orientation, religion or belief, disability, marital status or veteran status.