Data Science Intern
11 hours ago
Data Science Intern (Risk Analytics, Data Ops & Automation)
Location: Mumbai (On-site)
Duration: 6 Months (Paid Internship)
Department: Data Science & Analytics
Company:
About Taabi
is a fast-growing AI-driven mobility and logistics intelligence company building the next generation of fleet, transportation, and supply-chain optimization solutions. We combine IoT, telematics, advanced analytics, machine learning, GenAI, and workflow automation to help enterprises reduce fuel cost, improve driver performance, enhance asset health, and scale operations.
As part of our high-velocity startup environment, you will work closely with senior data science leaders to build real-world solutions at the intersection of AI + IoT + SaaS.
Role Overview
We are looking for a highly motivated Data Science Intern to support critical workstreams across risk analytics, data annotation & labelling operations, data pipeline creation, business intelligence, and workflow automation.
This role is ideal for someone who is curious, hardworking, and eager to build cutting-edge analytics & AI solutions in a fast-paced product setup.
Key Responsibilities
1. Risk Analytics
- Assist in statistical analysis and exploratory data analysis (EDA) across large telematics datasets.
- Conduct pattern recognition and anomaly detection for fuel, GPS, OBD, and video analytics data.
2. Data Annotation & Labelling Operations
- Maintain labelling quality benchmarks and annotation consistency at scale.
- Work with automated labelling tools and create/maintain labelling SOPs.
3. Data Pipelines & Engineering Support
- Work with senior engineers to document ETL flows and implement workflow automations.
- Contribute to data quality checks (DI/DQM) and metadata documentation.
4. Business Intelligence & Automation
- Support end-to-end workflow automation for analyticsalerting, reporting, and monitoring flows.
- Prepare storyboards and insight summaries for leadership and customers.
Expected Hard Skills
- Python (Pandas, NumPy, basic ML, automation scripts)
- SQL (joins, aggregations, window functions)
- Statistics (hypothesis testing, distributions, correlation, regression)
- Data Visualization (Power BI, Tableau, Matplotlib/Plotly)
- Understanding of data cleaning, preprocessing, feature engineering
- Basic knowledge in machine learning is a plus
Expected Soft Skills
- Proactive & self-starter mindset
- Strong communication skills
- Ability for storyboarding insights and presenting structured outputs
- Curiosity and hunger to learn
- Ability to go the extra mile and work in ambiguous fast-paced environments
- High ownership and strong attention to detail
Learning & Exposure You Will Get
During this internship, you will work directly with product, engineering, and data science leadership and gain exposure to:
- IoT, telematics & sensor data (GPS, OBD, fuel, video)
- SaaS product engineering & analytics workflows
- AI, ML & GenAI applications in real-world fleet & logistics
- Data engineering, pipeline development & end-to-end DI/DQM
- Optimization models and predictive analytics
- Workflow automation frameworks
- How modern fleet, logistics & transportation ecosystems operate
- Working in a high-growth, fast-paced startup environment
Who Should Apply
- Students or recent graduates in engineering, statistics, mathematics, computer science, or related fields
- Individuals passionate about AI, data science, IoT, transportation analytics, and solving real-world industry challenges
- People who want hands-on experience in building practical, scalable data products
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