
Data Scientist
1w1 week agoAqilea
Bengaluru, IN · Full-time · INR 2,500,000 – INR 4,500,000
About this role
Aqilea is an IT and engineering consulting partner helping companies maximize technology and operations. We seek a Data Scientist to analyze mining/industrial data into actionable insights and predictive solutions. The role involves large datasets, ML models, data-driven decisions, and potential team leadership.
Daily tasks include collecting, cleaning, and integrating data from multiple sources. Build machine learning models and statistical solutions for prediction and optimization. Perform feature engineering, predictive analytics, and develop dashboards with Power BI or Bold BI.
Collaborate with domain experts to improve operations, automate workflows, and deploy models using Python. Support data engineering like ETL/ELT, SQL optimization, and database management. Teams in Stockholm and Bangalore work closely with clients on AI, software development, and infrastructure.
Combine technical expertise with a business-focused approach to modernize, secure, and scale operations. Focus on long-term partnerships built on trust, quality, and real results. Great opportunities to advance your career and take significant responsibility.
Requirements
- Strong Python including pandas and scikit-learn, and SQL
- Machine learning and statistical modeling
- Data modeling, ETL/ELT, and feature engineering
- Visualization tools such as Power BI or Bold BI
- Experience with PostgreSQL or SQL Server
- Git, testing, and deployment practices
Responsibilities
- Collect, clean, and integrate data from multiple sources
- Build machine learning models and statistical solutions for prediction and optimization
- Perform feature engineering and predictive analytics
- Develop dashboards and visualizations using Power BI or Bold BI
- Collaborate with domain experts to improve operations
- Automate workflows and deploy models using Python
- Support data engineering tasks including ETL/ELT, SQL optimization, and database management
Benefits
- Great opportunities to take real steps in your career
- Opportunity to take great responsibility
- Long-term partnerships built on trust, quality, and real results
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