KSB

Solution Architect- Data Scientist

India · Work style not stated · Full time

Apply on the employer’s site ↗See how well you match this job

You apply directly with the employer. ROLIVA does not submit applications from this page and is not the employer.

About the role

Description from the employer’s posting. Check the employer’s page for the current version.

EmployerKSB
LocationIndia
Work styleWork style not stated
Employment typeFull time
Employer posted11 Sep 2026

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

Show full description

· 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

See how well you match this job Apply on the employer’s site ↗

Check your resume against this job Free, no sign-up. Nothing you paste is stored.

Staying safe while you apply

Never pay to apply, interview or accept an offer. ROLIVA never asks you for payment to apply to a job.
Apply only through the official “Apply on the employer’s site” button, on the employer’s own site, and check that a recruiter’s email uses that employer’s own domain rather than a free email address.
Be cautious of an offer made with no real interview, or pressure to decide quickly or share financial details early.

Does something look wrong with this listing? Use “Report broken link” in the role details, or read ROLIVA’s full job-safety guidance ↗.

Preparing for this role with ROLIVA

Check the fit.
Compare the requirements with the experience you have confirmed, including gaps.
Prepare honestly.
Build interview stories and application drafts from your own evidence.
Keep track.
Save the role and record your own application status and follow-ups.

Create a free workspace or log in.