Xylem is a Fortune 500 global water solutions company dedicated to advancing sustainable impact and empowering the people who make water work every day. As a leading water technology company with 23,000 employees operating in over 150 countries, Xylem is at the forefront of addressing the worlds most critical water challenges. We invite passionate individuals to join our team, dedicated to exceeding customer expectations through innovative and sustainable solutions.

Role Overview

The Data Scientist / Software Developer will take ownership of a lead generation engine built using Kedro pipelines. This individual will be responsible for ensuring the solution remains reliable, maintainable, scalable, and continuously improved over time.

The role requires a strong foundation in Python, including hands-on experience working with Kedro, along with solid SQL skills and comfort working in modern data environments such as Databricks. The candidate should also be able to work effectively with Power BI dashboards and have the maturity and intuition to understand data deeply, identify issues proactively, and drive meaningful enhancements.

Beyond maintenance and troubleshooting, this role is well suited for someone who is curious, takes ownership, enjoys problem-solving, and is eager to contribute to new initiatives involving machine learning and data science.

Key Responsibilities

Own and manage the existing lead generation engine built on Kedro pipelines

Refresh, update, maintain, and enhance the codebase to support evolving business needs

Troubleshoot production and data pipeline issues, identify root causes, and implement durable fixes

Resolve bugs, improve reliability, and ensure the solution remains stable and scalable

Develop, optimize, and maintain Python-based data workflows and supporting application logic

Work with structured and semi-structured data, demonstrating strong intuition and sound judgment in handling data quality, consistency, and usability

Write efficient and reliable SQL queries to support data extraction, transformation, validation, and analysis





Operate effectively in a modern data platform environment, with preference for experience in Databricks

Support, interpret, and interact with Power BI dashboards for business-facing insights and reporting

Collaborate with cross-functional stakeholders, including business teams, analysts, and technical colleagues, to understand requirements and translate them into robust technical solutions

Identify opportunities to improve performance, maintainability, and extensibility of the current solution

Contribute to future-focused initiatives in machine learning, data science, and other innovation-driven projects

Demonstrate a high level of ownership, accountability, and proactive communication in managing deliverables

Required Qualifications

Bachelor s degree in Computer Science, Data Science, Engineering, Information Technology, or a related field

2-4 years of relevant professional experience in software development, data engineering, data science, or related roles

Strong programming skills in Python

Hands-on experience building, maintaining, or enhancing Kedro pipelines

Strong SQL skills, including writing complex queries and working with data transformations

Comfort working with data-intensive systems and a demonstrated ability to understand data deeply and intuitively

Experience troubleshooting technical issues, fixing bugs, and maintaining production-ready codebases

Ability to work independently while managing ownership of a critical solution

Strong analytical thinking and problem-solving skills

Clear communication skills and the ability to collaborate effectively across teams

High willingness to learn and adapt to new technologies, tools, and project domains





Preferred Qualifications

Experience working with Databricks

Familiarity with Power BI dashboards, including interpreting data outputs and supporting business reporting needs

Exposure to machine learning or data science projects

Experience improving code scalability, maintainability, and performance in a production environment

Understanding of software development best practices such as version control, testing, documentation, and structured debugging

Experience in environments where data products directly support business growth, sales, or commercial operations

Ideal Candidate Profile

The ideal candidate is:

- Technically strong in Python and experienced with Kedro
- Mature and intuitive with data, with the ability to spot issues, trends, and improvement opportunities
- Comfortable taking ownership of an significant business solution end to end
- Curious and motivated to explore new ideas, tools, and approaches
- Proactive in troubleshooting and problem resolution
- Interested in expanding into machine learning and broader data science initiatives
- Collaborative, dependable, and aligned with a culture of continuous improvement

Join the global Xylem team to be a part of innovative technology solutions transforming water usage, conservation, and re-use. Our products impact public utilities, industrial sectors, residential areas, and commercial buildings, with a commitment to providing smart metering, network technologies, and advanced analytics for water, electric, and gas utilities. Partner with us in creating a world where water challenges are met with ingenuity and dedication; where we recognize the power of inclusion and belonging in driving innovation and allowing us to compete more effectively around the world.

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📌 Data Scientist/Software Developer (Bengaluru)
🏢 Xylem Water Solutions
📍 Bengaluru