Data Science Intern

About CereBulb:

CereBulb transforms organizations by empowering people with data and streamlining processes with technology in their digital transformation journey. As an industry-leading solution integrator, we specialize in Industrial Internet of Things (IIoT), Industry 4.0, and Smart Manufacturing, serving industries like Chemical, Power (Solar, Wind, Thermal, Hydro), Pharma, Manufacturing, Oil & Gas, IT & Telecom, Automotive, Energy, Metals & Mining. We leverage AI-driven solutions to optimize industrial operations, lower costs, and drive innovation. If you're passionate about data science, industrial automation, and AI powered decision-making, this is your opportunity to make a significant impact!

What You’ll Do as a Data Scientist:
Industrial Data Analysis & Modeling
 Analyze and process industrial data from sensors, machines, and production systems. Identify trends, anomalies, and insights to enhance operational eAiciency, process optimization, and predictive maintenance. Develop and deploy Machine Learning (ML) & Deep Learning (DL) models for industrial applications. Work with industrial automation systems, including PI servers, to optimize real time processes.

Data Preprocessing & Model Deployment
 Clean, preprocess, and integrate industrial data from multiple sources. Implement and optimize ML/DL models using Python, R, TensorFlow, and Keras. Deploy models on industrial data infrastructure (PI server, edge devices, or cloud platforms). Monitor and maintain deployed models to ensure reliability and eAectiveness.

Industrial Process Optimization & Visualization
 Leverage data-driven insights to optimize production eAiciency, quality control, and energy consumption. Create interactive dashboards & visualizations using Tableau, ArcGIS, QGIS, Power BI, Plotly, and Dash. Communicate findings to both technical and non-technical stakeholders eAectively.

What We’re Looking For: Education & Experience:
 Bachelor’s or Master’s degree in Computer Science, Data Science, Electrical Engineering, or a related field. Experience: Fresher

Technical Skills:
 Proficiency in Python, R, TensorFlow, Keras, and ML/DL model development. Experience with Time-Series Forecasting, Anomaly Detection, and Predictive Modeling. Strong understanding of data historians (PI server) and industrial automation. Knowledge of MLOps, model deployment techniques, and cloud-based data platforms. Advanced data visualization expertise with Tableau, ArcGIS, QGIS, Power BI, Plotly, and Dash

Job Types: Full-time, Permanent, Fresher

Pay: ₹6,000.00 - ₹12,500.00 per month

Benefits:

• Provident Fund

Ability to commute/relocate:

• Gandhinagar, Gujarat: Reliably commute or planning to relocate before starting work (Preferred)

Application Question(s):

• How soon can you join?(In days)

Experience:

• Data science: 1 year (Preferred)

Work Location: In person