Uncover the Future of Work Using Large-Scale Labour Market Intelligence

Are you a quantitative thinker eager to use data to solve one of society’s most critical puzzles—the evolution of the global workforce? Lightcast is seeking a motivated Data Scientist with 2+ years of experience to join our international data science team in India.

At Lightcast, we don’t just look at employment statistics; we are global leaders in labour market insights, helping partners across six continents drive economic prosperity and career mobility. In this role, you will work closely with senior data scientists and cross-functional teams to clean, organise, and transform massive tranches of labour data into predictive models, rich datasets, and state-of-the-art visualisations that reveal how, where, and why the global workplace is shifting.

About Lightcast

Headquartered in Moscow, Idaho (US), with core offices across the United Kingdom, Europe, and India, Lightcast provides the foundational data needed to build and develop people, institutions, companies, and communities. We process billions of data points—from job postings to professional profiles—creating the definitive map of the modern labour economy.

The Role: Data Scientist

As a Data Scientist, you will sit at the intersection of high-volume data engineering and rigorous statistical modelling to build pragmatic solutions to large-scale labor market problems.

Major Responsibilities:

• Large-Scale Data Processing: Utilize SQL and Python to query, transform, clean, and organize complex, high-velocity datasets.

• Algorithmic Architecture: Design and deploy pragmatic, scalable, and rigorous statistical or machine learning models directly on top of Lightcast’s proprietary data infrastructure.

• Cross-Functional Definition: Partner with product and data engineering teams to define ambiguous problem statements, curate training features, and make technology trade-off recommendations.

• Project Execution: Contribute to high-priority research and product tracks under the guidance of senior data scientists, ensuring solutions align with the latest advancements in the field (such as NLP and LLMs).

• Insights Delivery: Communicate complex analytical findings and visualizations clearly to internal product leaders and external clients across the globe.

Technical Architecture & Prerequisites

We are looking for an adaptive team player who combines solid programming skills with a strong foundation of statistical thinking.

Required Qualifications:

• Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, Economics, Operations Research, or a related quantitative field.

• Experience: 2+ years of relevant industry experience or graduate research applying statistical, machine learning, or analytical methods.

• Programming & Core Tech: Strong proficiency in Python and SQL, with hands-on experience in machine learning frameworks, statistical modelling, algorithms, and handling large data scales.

• Advanced Tooling Focus: Experience or exposure to Natural Language Processing (NLP) or Large Language Models (LLMs) for text mining is highly valued.

• Visualisation & Productivity: Proficient in data visualisation tools and modern business productivity suites (Google Suite, Microsoft Office, project management tools).

• Data Storytelling: Exceptional written, verbal, and interpersonal communication skills—specifically the ability to translate complex technical concepts for diverse audiences.

What We Offer

• Global Impact: Your work will directly influence financial, economic, and institutional policies affecting millions of careers worldwide.

• Inclusive Innovation: Join an equal opportunity workplace committed to diversity of thought, unique perspectives, and authentic collaboration.

• Accelerated Growth: Learn directly from veteran data scientists within a structured, state-of-the-art global data engineering environment.