Data Science at Weekday AI — India

About The Role

# Data Science
> Weekday AI · Mumbai, India · Full-time · Posted 2026-09-11
**Salary:** INR 500,000–800,000
**Workplace:** on_site
**Department:** Weekday's Client via platform
## Description
𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀
𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟱𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟴𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟱-𝟴 𝗟𝗣𝗔)
Experience: 2+ yrs

Location: Mumbai, Maharashtra, India

Job Type: Full-time

We are looking for an analytical and data-driven **Analytics Professional** to strengthen analytics capabilities, develop scalable data solutions, and generate actionable insights that support business growth and informed decision-making.

The role combines **data analytics, predictive modelling, experimentation, data infrastructure, and business intelligence**, offering an opportunity to work on high-impact business problems across customer acquisition, retention, risk, delinquency, and profitability.

## Requirements

Key Responsibilities

Define, manage, and continuously improve the **analytics roadmap** in alignment with business objectives.
Build, deploy, and maintain scalable data infrastructure, including **data warehouses and data marts**.
Develop and maintain **predictive models, scoring systems, and analytical solutions** to support business decisions.
Explore and evaluate alternate data sources to improve predictive capabilities and business insights.
Work with large and complex datasets to identify trends, patterns, opportunities, and business risks.
Partner with cross-functional teams to design and execute **A/B tests, experiments, and test-and-learn initiatives**.
Develop analytics solutions supporting **customer acquisition, churn reduction, delinquency control, and profitability improvement**.
Generate actionable insights through automated reports, dashboards, MIS, analytical queries, and business intelligence solutions.
Monitor model performance, business metrics, data quality, and analytical outputs.
Identify performance gaps and recommend optimisation strategies based on data-driven analysis.
Ensure data accuracy, consistency, reliability, and availability across reporting and analytics systems.
Support deployment, monitoring, and performance management of analytical and predictive solutions.
Develop reusable analytical frameworks and processes to improve efficiency and scalability.
Collaborate with stakeholders to understand business requirements and translate them into analytical solutions.
Present analytical findings and recommendations clearly to technical and non-technical stakeholders.
Continuously identify opportunities to improve analytics processes, automation, data utilisation, and decision-making.

What Makes You a Great Fit

**2+ years of hands-on analytics experience** in fintech, financial services, startups, consulting, or a related environment.
Strong proficiency in **SQL and Python** for data analysis, querying, modelling, and automation.
Strong understanding of **data-driven problem solving and analytical frameworks**.
Experience working with large datasets and converting complex data into actionable business insights.
Hands-on experience with **data management, deployment, monitoring, and performance management frameworks**.
Understanding of **predictive modelling, scoring systems, and analytical decision-making**.
Exposure to **A/B testing, experimentation, or test-and-learn methodologies**.
Experience working with data warehouses, data marts, reporting systems, and analytical infrastructure.
Strong understanding of data quality, consistency, validation, and reliability.
Ability to connect analytical findings with measurable business outcomes.
Strong communication and stakeholder-management skills, with the ability to explain analytical concepts clearly.
Highly analytical, detail-oriented, and comfortable investigating complex business problems.
Self-driven and proactive, with the ability to work independently in a **fast-paced, data-driven environment**.
Strong problem-solving mindset and willingness to continuously learn new analytical techniques and technologies.

## Apply
[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/9D244EE148/apply)
---
Powered by [Workable](https://www.workable.com)