Solution Architect- Data Scientist

KSB Tech Pvt. Ltd.; Pune District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

KSB is seeking a data scientist to design and develop advanced data science and analytics solutions for IIoT platforms. The role focuses on turning large-scale industrial and telemetry data into actionable insights, enabling data-driven decision-making and scalable analytics that support AI/ML initiatives within the digital program.

The candidate will build predictive analytics, collaborate with engineering and product teams, and contribute to analytics platform strategy with strong Python

Qualifications

• Degree in Mathematics, Data Science, Statistics, Computer Science or related field
• Strong theoretical knowledge in statistics and data science
• Practical experience with quantitative statistical analysis of large datasets
• Strong programming expertise in Python

Responsibilities

• Develop scalable analytical models and performance-critical algorithms
• Perform quantitative analysis on large industrial datasets
• Design data science workflows using Python, Spark, and Databricks
• Build predictive analytics for IIoT solutions
• Collaborate with cross-functional teams on data-driven use cases
• Contribute to architecture decisions for analytics platforms
• Ensure reliability and maintainability of analytical solutions
• Support data modeling, transformation, and feature engineering
• Drive automation and monitoring of analytics workflows
• Contribute to reusable data science frameworks and best practices

Skills

Python

Statistics

Data analysis

Machine learning

Communication

Problem solving

Education

Master’s or Bachelor’s in Mathematics, Data Science, Statistics, CS

Tools

Python ecosystem (Jupyter, pandas, NumPy, SciPy, scikit-learn)

Apache Spark

Databricks

Job description

Purpose of the Role

• Design and develop advanced data science and analytics solutions for various IIOT platforms
• Enable data-driven decision-making through statistical analysis, predictive models, and scalable analytical algorithms
• Transform large-scale industrial and telemetry data into actionable business insights
• Support long-term AI/ML and analytics strategy within TPD digital initiatives

Key Tasks & Activities

• Develop scalable analytical models and performance-critical algorithms using Python
• Perform quantitative statistical analysis on large-scale industrial and telemetry datasets
• Design and implement data science workflows using Python, Spark, and Databricks
• Build predictive analytics and data-driven insights for PumpTest and IIoT solutions
• Collaborate with engineering, analytics, and product teams on data-driven use cases
• Contribute to architecture decisions for analytics and data science platforms
• Ensure reliability, maintainability, and performance of analytical solutions
• Support data modeling, transformation, and feature engineering processes
• Drive automation, monitoring, and continuous improvement of analytical workflows
• Contribute to reusable frameworks and best practices for data science initiatives

Accountability

• Own development and quality of analytical models and algorithms
• Ensure scalability and accuracy of data science solutions
• Support business decision-making through reliable insights and predictive analytics
• Drive alignment between business needs and data-driven solutions
• Contribute to long-term analytics and AI/ML platform strategy

Technical / Professional Requirements

• Bachelor’s or Master’s degree in Mathematics, Data Science, Statistics, Computer Science, or related field
• Strong theoretical knowledge in mathematical statistics and data science
• Practical experience in quantitative statistical analysis of large datasets
• Strong programming expertise in Python
• Experience developing scalable and performance-critical algorithms
• Hands‑on experience with Python ecosystem tools: Jupyter, pandas, NumPy, SciPy, scikit‑learn
• Experience with Apache Spark and Databricks is preferred
• Understanding of data pipelines, data lakes, and cloud‑based analytics platforms
• Familiarity with CI/CD and automation practices in analytics workflows
• Knowledge of real-time or IIoT data processing is an advantage

Personal Competencies

• Disciplined and sustainable coding practices
• Strong analytical and problem-solving skills
• Precise, structured, and detail-oriented working style
• Self‑motivated with strong learning agility and hands‑on mentality
• Strong communication and stakeholder collaboration skills
• Team‑oriented mindset and ability to work cross‑functionally
• Very good English communication skills (written and spoken)

Performance Criteria

• Accuracy and reliability of analytical models
• Scalability and performance of data science solutions
• Timely delivery of analytics initiatives
• Quality and maintainability of code and algorithms
• Business value generated through insights and predictive analytics
• Collaboration effectiveness across teams

Company Overview

KSB is a leading supplier of pumps, valves and related service. Our reliable, high-efficiency products are used in applications wherever fluids need to be transported or shut off, covering everything from building services, industry and water transport to waste water treatment, power plant processes and mining. Founded in 1871 in Frankenthal, Germany, the company has a presence on all continents with its own sales and marketing organisations and manufacturing acilities. Around the globe, more than 190 service centres and around 3,500 service specialists are on hand to provide local inspection, servicing, maintenance and repair services under the KSB SupremeServ brand. Innovative technology that is the fruit of KSB’s research and development activities forms the basis for the company’s success. At KSB, we recognise that it is people who actually make the difference – the people we employ and the people we serve. This is why we are committed to equal rights and treatment worldwide and never lose sight of the aspects ecology and sustainability when manufacturing our products.