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Field Assist Offcampus Hiring for Product Intern . This is a great opportunity for freshers and early-career professionals looking to kickstart their journey in a global IT services company. The position is based in India and eligible candidates are encouraged to apply online at the earliest. The detailed eligibility criteria and application process are given below. Also Apply All Active Superset Hiring For Freshers
About Company :
YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation. At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future.
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Job Overview :
We’re on the hunt for curious, hands-on folks who thrive on solving real-world problems. You’ll start by getting your hands dirty — annotating images, clustering outlets, tagging data — the gritty work that powers our ML systems and builds domain depth. As you ramp up, you’ll move into more complex tasks: running experiments, writing logic, and shaping how our next-gen, ML-powered CPG tools behave. If you’re analytical, adaptable, and excited about working at the intersection of data, tech, and product — we want to hear from you.
Key Responsibilities:
1.Analyze product and user behavior data to identify trends, gaps, and improvement opportunities
2.Support product managers in performance tracking, product readiness, and user research.
3.Execute critical groundwork like image annotation, outlet clustering, data tagging, and documentation
4.Contribute to product experiments, testing, and model input/output validation
5.Use Excel and internal tools to build dashboards, reports, and performance views
6.Run analyses on internal platforms for insights and client-facing deliverables
7.Leverage your data science foundation (Python, pandas, ML basics) to support model design and tooling
8.Collaborate across product, design, engineering, and business teams to bring clarity to decision making
Required Skills & Qualifications:
1.Strong problem-solving and analytical mindset
2.Proficiency in MS Excel (pivot tables, formulas, charts, VLOOKUP) the usual
3.Exposure to Python, pandas, Jupyter notebooks, or ML concepts — you don’t need to be a wizard, but you should be hungry to learn
4.Comfortable with hands-on grunt work and iterative workflows
5.Curiosity about how products are built, scaled, and improved through data
6.Team player who communicates well and thrives in slightly chaotic but high-energy setups.
7.Bonus: Prior exposure to SaaS, CPG, or product management
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