BENGALURU · FULLTIME
Data Scientist
Proffer It Consultancy
Bengaluru · onsite · Posted 21d ago
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Undisclosed8–10 yrsfulltimeBengaluru
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Section · 01
About this role
Position Name : Data Scientist
Location: Bangalore
Experience: 8-10 years
About BinQle
BinQle is a global delivery and execution partner supporting enterprises across the US, India, Singapore and Australia. We specialize in structured hiring, managed teams, and long-term delivery support.
Role Summary:
Lead the development and deployment of advanced analytics and AI/ML-driven solutions within the renewable energy domain. Mentor a team focused on predictive modeling, optimization, and digital product development for energy systems.
What Youll Do:
- Build predictive maintenance models using sensor/SCADA data
- Develop optimization algorithms for renewable asset performance
- Engineer domain-specific features from large SCADA and O&M datasets
- Evaluate data quality and collaborate with engineering teams
- Contribute to digital product development, including dashboards and AI-enabled O&M tools
- Build reusable models, APIs, and pipelines for cloud integration
- Work cross-functionally with engineering and operations teams
- Translate technical insights into business recommendations
- Support R&D initiatives on energy efficiency and decarbonization
- Develop interactive dashboards and visualizations
- Communicate findings via reports, presentations, and data stories
- Lead and mentor the data science team
What We re Looking For (Must-Haves):
- Hands-on experience with LLMs and Gen AI / Agentic AI
- Strong proficiency in Machine Learning and Statistics, including supervised/unsupervised algorithms and models like LSTM, ARIMA
- Advanced Python programming skills and familiarity with libraries such as Scikit-learn, TensorFlow, PyTorch, LangChain
- Proficiency in SQL
- Experience with CI/CD automation for data pipelines
- Strong experience in Cloud (AWS), especially AWS S3
- Experience with ETL/ELT tools (ADF, Databricks, Snowflake pipelines)
- Familiarity with Big Data technologies (Spark)
- Solid understanding of data modeling, distributed systems, and data lifecycle management
- Experience in developing visualizations with Grafana, Power BI, Tableau, or Python libraries
- Proven ability to mentor and lead data science teams
Good to Have (Optional - only if mentioned):
- As per requirement
Qualifications:
B.Tech/M.Tech
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Location: Bangalore
Experience: 8-10 years
About BinQle
BinQle is a global delivery and execution partner supporting enterprises across the US, India, Singapore and Australia. We specialize in structured hiring, managed teams, and long-term delivery support.
Role Summary:
Lead the development and deployment of advanced analytics and AI/ML-driven solutions within the renewable energy domain. Mentor a team focused on predictive modeling, optimization, and digital product development for energy systems.
What Youll Do:
- Build predictive maintenance models using sensor/SCADA data
- Develop optimization algorithms for renewable asset performance
- Engineer domain-specific features from large SCADA and O&M datasets
- Evaluate data quality and collaborate with engineering teams
- Contribute to digital product development, including dashboards and AI-enabled O&M tools
- Build reusable models, APIs, and pipelines for cloud integration
- Work cross-functionally with engineering and operations teams
- Translate technical insights into business recommendations
- Support R&D initiatives on energy efficiency and decarbonization
- Develop interactive dashboards and visualizations
- Communicate findings via reports, presentations, and data stories
- Lead and mentor the data science team
What We re Looking For (Must-Haves):
- Hands-on experience with LLMs and Gen AI / Agentic AI
- Strong proficiency in Machine Learning and Statistics, including supervised/unsupervised algorithms and models like LSTM, ARIMA
- Advanced Python programming skills and familiarity with libraries such as Scikit-learn, TensorFlow, PyTorch, LangChain
- Proficiency in SQL
- Experience with CI/CD automation for data pipelines
- Strong experience in Cloud (AWS), especially AWS S3
- Experience with ETL/ELT tools (ADF, Databricks, Snowflake pipelines)
- Familiarity with Big Data technologies (Spark)
- Solid understanding of data modeling, distributed systems, and data lifecycle management
- Experience in developing visualizations with Grafana, Power BI, Tableau, or Python libraries
- Proven ability to mentor and lead data science teams
Good to Have (Optional - only if mentioned):
- As per requirement
Qualifications:
B.Tech/M.Tech
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Section · 02
Skills
data qualityAutomationSCADAPythonSQLRenewable EnergyData ModelingDistribution SystemPredictive ModelingMachine Learning