| Job Title | Data Science – Predictive Machine Learning Intern |
|---|---|
| Job Code | FYND191 |
| Employment Type | Full-Time |
| Location | Mumbai |
| Company Overview | Fynd |
| Founded | 2012 |
| Founders | Farooq Adam, Harsh Shah, Sreeraman MG |
| Headquarters | Mumbai |
| Business Focus | Omnichannel platform, AI, ML, retail tech |
| Brands Managed | 1000+ |
| Stores Managed | 10,000+ |
| Pin Codes Serviced | 23,000+ |
Job Summary:
Fynd is seeking a Data Science Intern with a strong background in predictive machine learning to contribute to projects involving recommendation systems, demand forecasting, anomaly detection, and time series analysis.
Responsibilities:
- Model Development: Design, develop, and deploy advanced machine learning models for personalized user experiences, recommendation systems, NLP tasks, fraud detection, anomaly detection, and time-series models. Continuously refine models for improved accuracy and efficiency.
- Data Analysis: Conduct comprehensive data analysis using techniques such as regression, classification, and clustering. Prepare detailed data reports and visualizations to support decision-making.
- Collaboration: Work closely with cross-functional teams to define metrics and translate business requirements into technical specifications. Effectively communicate technical concepts and findings to non-technical stakeholders.
- AI/ML Pipelines: Implement robust pipelines for data cleaning, transformation, and model training at scale.
- Model Monitoring: Monitor deployed models and implement enhancements to maintain performance and relevance over time.
Specific Requirements:
- Proficiency in Python programming with experience in ML frameworks (e.g., SKLearn, XGBoost, PyCaret) and deep learning frameworks (e.g., TensorFlow, PyTorch, Huggingface, Rasa).
- Strong understanding of statistics, machine learning techniques (regression, classification, clustering), and deep learning architectures (RNN, CNN, Transformers).
- Familiarity with data structures, algorithms, and scripting languages (Python, Java, Scala, Unix bash).
- Experience with the end-to-end machine learning project lifecycle and ML pipeline frameworks.
- Ability to perform data profiling, exploratory data analysis, and debug algorithm inefficiencies.
What We Offer:
- Growth: Opportunities for career advancement in a fast-growing company expanding into new product lines and international markets.
- Culture: Engaging community and team-building activities, including regular events and parties.
- Wellness: Comprehensive mediclaim policy, mental health support, and work-life balance initiatives.
- Work Environment: Office-based work with amenities like free meals, snacks, and a fun culture.
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Important Notice and Disclaimer:- CareerBoostZone platform is a free Job Sharing platform for all the Job seekers. We don’t charge any cost and service fee for any job which is posted on our website, neither we have authorized anyone to do the same. Most of the jobs posted over Seekajob are taken from the career pages of the organizations. Jobseekers/Applicants are advised to check all the details when they apply for the job to avoid any inconvenience.
