Senior Data Scientist

ESP Engineered; Bengaluru; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

ESP Engineered is seeking a data-driven professional with over 3 years of experience in data engineering. The role involves transforming mining data into actionable insights, developing statistical models, and collaborating with experts. Strong skills in Python and SQL, along with experience in data modeling and visualization, are essential. Candidates will have opportunities to lead projects and automate workflows using modern data science tools in a collaborative environment.

Qualifications

• Over 3 years of experience in data engineering.
• Strong expertise in SQL, ETL/ELT, and database administration.
• Skilled in business intelligence and data modeling.

Responsibilities

• Collect, clean, and integrate data from multiple sources.
• Develop statistical models to predict operational performance.
• Build visualizations to communicate insights effectively.

Skills

Python

SQL

Machine learning

Statistical modeling

Data visualization tools

Tools

PostgreSQL

Microsoft SQL Server

Power BI

Bold BI

Azure Data Factory

Docker

Kubernetes

Job description

Tarento is a fast-growing technology consulting company headquartered in Stockholm, with a strong presence in India and clients across the globe. We specialize in digital transformation, product engineering, and enterprise solutions, working across diverse industries including retail, manufacturing, and healthcare. Our teams combine Nordic values with Indian expertise to deliver innovative, scalable, and high-impact solutions.

We’re proud to be recognized as a Great Place to Work, a testament to our inclusive culture, strong leadership, and commitment to employee well-being and growth. At Tarento, you’ll be part of a collaborative environment where ideas are valued, learning is continuous, and careers are built on passion and purpose.

Job Description:

We are looking for a data-driven problem solver who can transform mining data into actionable insights and predictive solutions. You will work with diverse datasets to analyze, model, and optimize mining operations, leveraging advanced analytics and machine learning. You have also abilities to become the lead engineer of a team of data scientists and data engineers.

What you’ll do:

• Collect, clean, and integrate data from multiple sources.
• Develop statistical models and machine learning algorithms to predict and optimize operational performance.
• Build data visualizations and dashboards to communicate insights effectively.
• Collaborate with domain experts to identify opportunities for data-driven improvements.
• Automate workflows and deploy models into production using Python and modern data science tools.
• Python, SQL, Machine learning and statistical modeling, including feature engineering, predictive analytics as well,

What we’re looking for:

• Strong skills in Python (pandas, scikit-learn, etc.) and SQL.
• Experience with data modeling, feature engineering, and predictive analytics.
• Familiarity with visualization tools (e.g., Power BI, Bold BI, or custom dashboards).
• Ability to learn quickly and apply creative thinking to real-world challenges.
• Bonus: Knowledge of mining or industrial processes.
• Python, SQL, Machine learning and statistical modeling, including feature engineering, predictive analytics as well,

Your Qualifications and Key Responsibilities:

• Over 3 years of hands-on experience in data engineering, specializing in advanced SQL, ETL/ELT processing, and database administration for PostgreSQL and Microsoft SQL Server, with expertise in performance tuning and dimensional modeling.
• Skilled in business intelligence using Power BI and/or Bold BI for data modeling, DAX/expressions, row-level security (RLS), and scheduled data refreshes, as well as low-code development in Retool for building queries and app components.
• Demonstrates a creative, self-driven approach to problem-solving, operating confidently across data, application, and infrastructure layers, and bringing a vertical understanding of mining operations and industrial processes.
• Bonus capabilities include experience with Azure Data Factory, workflow automation tools (n8n), AI agents/Copilots, Linux, Docker/Kubernetes, IoT/streaming platforms (MQTT, Kafka), and mining/industrial telemetry integrations.