Job Description

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.

Find out more about what we do here: JATO

Our vision. Our vision is to be the world’s most exciting leader in automotive business intelligence solutions. We aim to generate excitement through implementing pioneering ideas, problem solving and going beyond our customer expectations. Our JATO colleagues are partners in our future and stakeholders in our desires. Our strategic intent is to help customers create significant competitive advantage by constantly leading in connected data, information and knowledge provision, ultimately improving our customers’ work processes, informed decision-making and business results.

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 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.

Preferred Qualifications

• Experience with cloud platforms, particularly Microsoft Azure.
• Knowledge of Databricks and modern data science environments.
• Experience using GitHub Copilot and AI-assisted development tools.
• Practical experience with AI agents, prompt engineering, and generative AI applications.
• Familiarity with business intelligence tools such as Tableau, Power BI, or Qlik.
• Experience with business process automation tools such as Power Automate or Zapier.

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.

What should I expect after I apply?

Initial Shortlisting - Our team carefully reviews each application. If your profile aligns with the role requirements, you’ll be shortlisted and invited to the next stage of the process.

Talent Acquisition Call - You'll have an introductory conversation with our Talent Acquisition team to discuss your professional background, career aspirations, and interest in the opportunity, while also learning more about JATO and the role.

First-Stage Interview- This interview will focus on your motivations for the role, relevant experience, and overall understanding of the technical requirements. It's an opportunity for us to explore how your skills and interests align with the position.

Technical Task- You will be asked to complete a technical assessment designed to evaluate your technical knowledge, problem-solving approach, and ability to apply relevant concepts in a practical setting.

Final Interview- In the final stage, you’ll meet with the Hiring Manager and the team to discuss your technical task, explore your approach and thought process, and assess overall fit for the team. This stage will also support the final selection decision. It's a great opportunity for you to get a better feel of the team and ask any questions!

Who are we? JATO has been a market leader in global automotive business intelligence since 1984, operating in dozens of countries worldwide. We provide our customers with automotive business intelligence and insight into over 50 overseas markets. We work with automotive manufacturers, dealerships, consumer portals, fleet and leasing companies and component suppliers to create competitive advantage and insight.

Find out more about what we do here: JATO

Our vision. Our vision is to be the world’s most exciting leader in automotive business intelligence solutions. We aim to generate excitement through implementing pioneering ideas, problem solving and going beyond our customer expectations. Our employees are partners in our future and stakeholders in our desires. Our strategic intent is to help customers create significant competitive advantage by constantly leading in connected data, information and knowledge provision, ultimately improving our customers’ work processes, informed decision-making and business results.

Our values. JATO core values are Integrity, People First, Collaboration, Innovation and Excellence.

Learn more about our values here: JATO Core Values

Find out more about life at JATO: 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.