Data Scientist

Quest Global; Mumbai; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Quest Global in Mumbai is seeking a Data Scientist to turn raw data into actionable insights and predictive models within our P&DI data products. You’ll work on datasets, validate features, build models, and create dashboards to drive business decisions.

You will apply statistical techniques, ML, SQL, and BI tools like Power BI, with hands-on experience in Python and scikit-learn. We value clear communication of complex findings to technical and non-technical stakeholders.

Qualifications

• Bachelor's or master's in a quantitative field.
• 3–5 years in data science, analytics, market research, or related field.
• Strong grasp of statistical concepts and practical application.
• Machine learning fluency; ability to select, apply, validate, and evaluate techniques in Python/scikit-learn.
• Strong SQL skills and hands-on experience with Databricks or similar platforms.
• Experience building and maintaining dashboards in Power BI or similar BI tools.
• Understanding of primary and secondary research methodologies.
• Experience using AI assistants like Claude or Copilot for coding, analysis, and problem solving.
• Sharp problem solving, attention to detail, and ability to translate findings for technical and non-technical audiences.

Responsibilities

• Dig into large datasets to surface trends, patterns, anomalies, and insights.
• Prepare, validate, and shape datasets for analysis and modelling.
• Apply statistical and ML techniques to build predictive models, forecasting, and segmentation.
• Write and run SQL across data platforms to extract and prep data.
• Build and maintain dashboards tracking key metrics for stakeholders.
• Evaluate model performance and translate findings into actionable recommendations.
• Use AI tools to improve speed and quality of analysis and reporting.

Skills

Statistical concepts

Machine learning fluency

SQL skills

Data storytelling

Problem solving

Audience communication

Education

Bachelor's or Master's in Statistics, Mathematics, Computer Science, Data Science, Economics, Engineering

Tools

Python

scikit-learn

Databricks

Power BI

Job description

Job Requirements

At Quest Global, it’s not just what we do but how and why we do it that makes us different. With over 25 years as an engineering services provider, we believe in the power of doing things differently to make the impossible possible. Our people are driven by the desire to make the world a better place—to make a positive difference that contributes to a brighter future. We bring together technologies and industries, alongside the contributions of diverse individuals who are empowered by an intentional workplace culture, to solve problems better and faster.

Job Requirements

At Quest Global, it’s not just what we do but how and why we do it that makes us different. With over 25 years as an engineering services provider, we believe in the power of doing things differently to make the impossible possible. Our people are driven by the desire to make the world a better place—to make a positive difference that contributes to a brighter future. We bring together technologies and industries, alongside the contributions of diverse individuals who are empowered by an intentional workplace culture, to solve problems better and faster.

Key Responsibilities

As a Data Scientist on our P&DI data products, you'll turn raw, messy data into models and dashboards that drive real business calls. You will:

• Dig into large datasets to surface trends, patterns, anomalies, and insights that matter to the business.
• Prepare, validate, and shape datasets — data quality checks and feature engineering included — for every analytical and modelling use case.
• Apply statistical and machine learning techniques to build models for prediction, forecasting, and segmentation.
• Write and run SQL across data platforms to extract, transform, validate, and prep data for analysis.
• Build and maintain dashboards that track key metrics and put insights directly in front of stakeholders.
• Evaluate model performance and turn analytical findings into recommendations the business can act on.
• Use AI tools to work faster — sharper analysis, faster coding, leaner reporting.

What You Bring

• A bachelor's or master's degree in Statistics, Mathematics, Computer Science, Data Science, Economics, Engineering, or another quantitative field.
• 3–5 years in data science, analytics, market research, or a related field.
• A strong grip on statistical concepts and how to apply them in practice.
• Machine learning fluency — the judgment to select, apply, validate, and evaluate the right technique (regression, classification, tree‑based models) in Python and scikit‑learn, based on the business question and the data at hand.
• Strong SQL skills and hands‑on experience with Databricks or similar data platforms.
• Working knowledge of building and maintaining dashboards in Power BI or similar BI tools.
• An understanding of primary and secondary research methodologies.
• Real, practical experience using AI assistants like Claude or Copilot for coding, analysis, and problem‑solving.
• Sharp problem‑solving instincts, close attention to detail, and a structured approach to analysis.
• The ability to translate analytical findings into insight that lands with both technical and non‑technical audiences.

We are known for our extraordinary people who make the impossible possible every day. Questians are driven by hunger, humility, and aspiration. We believe that our company culture is the key to our ability to make a true difference in every industry we reach. Our teams regularly invest time and dedicated effort into internal culture work, ensuring that all voices are heard.

We wholeheartedly believe in the diversity of thought that comes with fostering a culture rooted in respect, where everyone belongs, is valued, and feels inspired to share their ideas. We know embracing our unique differences makes us better, and that solving the worlds hardest engineering problems requires diverse ideas, perspectives, and backgrounds. We shine the brightest when we tap into the many dimensions that thrive across over 21,000 difference-makers in our workplace.