Job Opening For Sr. Data Scientist @ Globaldata - HYD-Consumer

Globaldata; Hyderabad; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

GlobalData is seeking a Senior Data Scientist to lead automation on consulting workflows, turning research into scalable processes using Python, SQL, and AI‑assisted tooling. The role spans data extraction from secondary sources, AI tooling for surveys, and building reusable knowledge bases across projects.

You will mentor juniors, collaborate across Consumer, Food & Beverage, Packaging, Retail, and other verticals, and push for interpretable forecasts with transparent methods.

Qualifications

• 4-5+ years combining hands-on Python and SQL with consulting, market research or analytics - not a pure engineering role.
• Strong Python for data processing, automation and dashboarding; solid SQL for querying and structuring data.
• Ability to build and deploy streamlit /flask applications and dashboards
• Practical experience building or driving automation using AI/LLM tools (prompt-based workflows, agentic tools, or similar) - able to design a repeatable process
• Prior hands-on experience with statistical modelling, timeseries forecasting
• Strong Excel skills (lookups, pivot tables, structured spreadsheet design) for data analysis, and building or working within a data model.
• Experience automating extraction of insights from unstructured or semi-structured secondary sources - industry reports, company financial statements/filings
• Solid grounding in data analytics and quantitative reasoning; able to sanity-check forecasts and automation outputs against consulting judgement
• Strong communication skills and demonstrated ability to manage or mentor junior data scientists /analysts
• Preferred: prior experience in market research/strategy consulting and/or market sizing/forecasting modelling.

Responsibilities

• Design and build automation for the consulting workflow - SKU/store audits, secondary research consolidation, survey data processing, report and deck generation - using Python, SQL and AI‑assisted tooling.
• Build automation to extract and structure insights from secondary sources - industry reports, online SKU/pricing audits, and annual/quarterly company financial statements - to speed up model inputs across engagements.
• Develop AI based tools to support consumer survey creation and scripting logic, and to automate first‑pass analysis of survey outputs.
• Extend the team's existing Claude‑based automation initiative: build and maintain reusable Skills (repeatable SOPs) and Project knowledge bases across proposal, research, modelling and delivery stages.
• Build and maintain SQL/Python pipelines that clean, validate and consolidate structured/unstructured research inputs ahead of modelling - reducing manual analyst effort.
• Support market sizing, forecasting work with a strong analytics lens, including exploring transparent/interpretable forecasting approaches (e.g. driver‑based or hierarchical models) as an alternative to black‑box outputs.
• Partner with consultants across verticals - Consumer, Food & Beverage, Packaging, Retail and others - on custom consulting solutions, bringing automation and analytics into bespoke, client‑specific frameworks rather than standard reporting.
• Manage and coach junior consultants and analysts on automation‑and analytics‑heavy workstreams.

Skills

Python

SQL

Streamlit/Flask

AI/LLM tooling

Statistical modelling

Timeseries forecasting

Excel

Data analytics

Consulting analytics

Mentoring juniors

Tools

Power BI

Job description

Job Opening for Senior Data Scientist

Reports to: Head of Data Science - Consulting

Team: Custom Consulting-Data Science

Level: Senior Consultant

Role Purpose

We are looking for Senior Data scientist to lead the technical automation edge of our Data Science team's work. This role is for someone as comfortable writing SQL/Python and building AI-driven workflows as they are interpreting consulting data someone who can turn repeatable research, data modelling tasks into reliable, scaled-up processes. The Data Science team works horizontally across GlobalData's consulting verticals Consumer, Food & Beverage, Packaging, Retail, Automotive, Agriculture and others - so automation built here is reused across bespoke, client‑specific consulting engagements rather than one fixed sector. The team is actively building out a Projects & Skills‑based automation pipeline (using tools like Claude) spanning proposal drafting, research instrument design, data consolidation, assisted modelling and report generation. A key focus area is automating secondary desk research - extracting insights from industry reports, online SKU analysis, company financial statements, and consumer survey creation/analysis.

Key Responsibilities

• Design and build automation for the consulting workflow - SKU/store audits, secondary research consolidation, survey data processing, report and deck generation - using Python, SQL and AI‑assisted tooling.
• Build automation to extract and structure insights from secondary sources - industry reports, online SKU/pricing audits, and annual/quarterly company financial statements - to speed up model inputs across engagements.
• Develop AI based tools to support consumer survey creation and scripting logic, and to automate first‑pass analysis of survey outputs.
• Extend the team's existing Claude‑based automation initiative: build and maintain reusable Skills (repeatable SOPs) and Project knowledge bases across proposal, research, modelling and delivery stages.
• Build and maintain SQL/Python pipelines that clean, validate and consolidate structured/unstructured research inputs ahead of modelling - reducing manual analyst effort.
• Support market sizing, forecasting work with a strong analytics lens, including exploring transparent/interpretable forecasting approaches (e.g. driver‑based or hierarchical models) as an alternative to black‑box outputs.
• Partner with consultants across verticals - Consumer, Food & Beverage, Packaging, Retail and others - on custom consulting solutions, bringing automation and analytics into bespoke, client‑specific frameworks rather than standard reporting.
• Manage and coach junior consultants and analysts on automation‑and analytics‑heavy workstreams.

Required Skills & Experience

• 4-5+ years combining hands‑on Python and SQL work with consulting, market research or commercial analytics - this is not a pure engineering role, and consulting/analytics fluency is essential.
• Strong, demonstrable Python skills for data processing, automation and dashboarding; solid SQL for querying and structuring data.
• Ability to build and deploy streamlit /flask applications and dashboards
• Practical experience building or driving automation using AI/LLM tools (prompt‑based workflows, agentic tools, or similar) - able to design a repeatable process
• Prior hands‑on experience with statistical modelling, timeseries forecasting
• Strong Excel skills (lookups, pivot tables, structured spreadsheet design) for data analysis, and building or working within a data model.
• Experience automating extraction of insights from unstructured or semi‑structured secondary sources - industry reports, company financial statements/filings
• Solid grounding in data analytics and quantitative reasoning; able to sanity‑check forecasts and automation outputs against consulting judgement.
• Strong communication skills and demonstrated ability to manage or mentor junior data scientists /analysts.
• Preferred: prior experience in market research/strategy consulting and/or market sizing/forecasting modelling.

Good to Have

• Experience with statistical/forecasting techniques (regression‑based driver models, Bayesian or hierarchical modelling) for transparent, auditable forecasts.
• Familiarity with building custom tools/dashboards (e.g. Power BI, Excel‑based tools, lightweight web apps) for internal or client use.
• Exposure to consulting deliverable types - market sizing decks, SKU audits, competitive benchmarking - in Consumer, Retail, Foodservice, Packaging, Automotive or Agriculture sectors.