Data Scientist

Uplers; Bengaluru; On-site; INR 1,200,000 - 1,900,000; Full time

Job summary

GeoIQ is looking for a Data Scientist to join Uplers for a client engagement. You will build and ship predictive models, own end-to-end modeling, and translate business problems into ML solutions for B2B clients across retail, fintech, and FMCG.

You will work as an autonomous contributor from day one, collaborating with cross-functional teams in a fast-paced environment. Prior DS experience and strong Python/ML skills are required.

Qualifications

• Python (DS-grade) with Pandas and ML libraries; backend Python not allowed.
• Classical ML model building: regression, classification, XGBoost, boosting/bagging with Scikit-learn/StatsModels.
• Hands-on predictive modelling ownership: end-to-end base model development.
• Strong problem-solving and live coding ability under time pressure.
• SQL for working across client data pipelines.
• Minimum 2 years of full-time Data Science experience.

Responsibilities

• Build and ship new predictive models and driver-factor analyses weekly.
• Maintain, monitor, and measure the real-world impact of deployed models.
• Work independently from problem framing through a base model with minimal handholding.
• Collaborate with cross-functional teams to translate business problems into ML solutions.
• Report directly to the Hiring Manager as an autonomous contributor from day one.

Skills

Python

Machine Learning

Scikit-learn

XGBoost

SQL

Tools

Pandas

StatsModels

Job description

Experience: 2.00 + years

Salary: Confidential (based on experience)

Shift: (GMT+05:30) Asia/Kolkata (IST)

Opportunity Type: Office ()

Placement Type: Full time Permanent Position

Note: This is a requirement for one of Uplers' client - GeoIQ

What do you need for this opportunity?

Must have skills required: Python, Machine Learning, Scikit-learn, XgBoost, SQL

GeoIQ is Looking for:

GeoIQ (a Lenskart subsidiary) is India's leading hyperlocal location AI platform, helping businesses make precise, data-driven decisions using street-level intelligence across demographics, income, infrastructure, and commercial activity. As a Data Scientist, you will be a core individual contributor on a lean, high-output team — building and shipping classical ML predictive models for B2B clients across retail, fintech, and FMCG.

What You'll Do

• Build and ship new predictive models and driver-factor analyses every week (60–70% of your time)
• Maintain, monitor, and measure the real-world impact of deployed models (30–40% of your time)
• Work independently from problem framing through to a base model — handholding is minimal and limited to client-facing presentation
• Collaborate with cross-functional teams to translate business problems into ML solutions
• Report directly to the Hiring Manager; contribute as a fully autonomous individual contributor from day one

Must-Have Requirements

• Python (DS-grade) — Pandas, ML libraries, and visualisation packages; backend Python does not qualify
• Classical ML model building — regression, classification, XGBoost, boosting/bagging techniques, Scikit-learn, StatsModels
• Hands-on predictive modelling ownership — ability to scope and build a base model end-to-end independently
• Strong problem-solving and live coding ability under time pressure
• SQL — mandatory for working across client data pipelines
• Minimum 2 years of full-time Data Science experience (internships do not count unless from a premium company)

Good to Have

• Experience at product companies — Ola, Uber, Swiggy, Zomato, or similar high-scale consumer tech
• Analytics consulting background — Mu Sigma, ZS Associates, Fractal, Deloitte, HSBC, Capgemini, or Genpact
• Tier 1 / Tier 2 college — BSc/MSc in Maths, Statistics, Economics, or M.Tech (preferred, not mandatory if at a strong company)

What We're Not Looking For

• Profiles where 60–70%+ of experience is in GenAI, LLMs, RAG systems, or applied AI with no classical ML grounding
• Python used exclusively for backend/software engineering — not data science
• Serial job-hoppers (switching every year across 4–5 companies) without valid reasons such as mass layoffs or restructuring
• Candidates with low join intent or likely to offer-shop

About Uplers

Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement.

(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).

So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!