Data Science, Partner & Business Analytics Internship

About BrandContext.ai

Backed by Berkeley SkyDeck and led by ex-Google founders, BrandContext is building the next generation of business intelligence for the world's premium consumer brands. Our flagship product, Atlas, organizes the market data business teams have never had: share of mind, share of visibility, share of distribution, pricing, and competitive benchmarking, turned into decision-ready views rather than yet another dashboard. Built with UC Berkeley, Atlas already counts Google as a paying customer, with active engagements at Sony and Samsung. We run the company AI-first, with autonomous AI agents.

Product Website - [hidden]

Selected intern's day-to-day responsibilities include:

Working with partners and customers: running data walkthroughs and readouts

with brand teams and our partners, scoping custom analysis requests, and

delivering them on time.

Analysing market data: working with daily, SKU-level data on pricing, promotions,

stock, ratings, reviews, and search visibility across major retailers and AI

engines to explain what changed for a brand and why.

Building models and metrics: price elasticity, promotion lift, share of shelf

and share of search, availability gaps, and competitor benchmarking, and

helping define the logic our AI agents use to answer brand questions.

Cleaning and validating data: joining data from our own capture and partner

sources, checking quality, and flagging issues before anything reaches a customer.

Turning analysis into business recommendations: building dashboards, first-read

reports, and decks that tell a brand's revenue, e-commerce, or trade marketing

team where they are losing share and what to do about it.

Supporting our own business analytics: sizing opportunities, tracking pilot

and pipeline metrics, and feeding what you learn from customer conversations

back into the product and data roadmap.

Who can apply

Only those candidates can apply who:

Are available for the part time job/internship

Can start the part time job/internship between 3rd Nov and 15th Nov

Are available for duration of 3 months

Have relevant skills and interests

*Women wanting to start/restart their career can also apply.

Other requirements

Shares a short audio recording (2 to 3 minutes) describing your relevant experience and how it overlaps with this role. The recording must be uploaded to Google Drive with sharing set to "Anyone with the link can view", and the link pasted as your answer to the application question "What interests you about working for this company?" Applications without a working, publicly accessible link will not be reviewed

Excellent communication skills, written and spoken: can explain a complex

analysis simply and is comfortable presenting to senior, non-technical people

(director- and VP-level) over calls and in writing.

Good business sense: can go from "what does the data say" to "what should

the brand do".

Hands-on with AI tools (ChatGPT, Claude) and keen to use them daily; able

to overlap a few hours with US working hours.

Strong SQL and Python (pandas, numpy; scikit-learn or statsmodels is a plus),

and solid statistics: knows when a difference is real.

Candidates pursuing or who have recently completed a degree in engineering,

statistics, economics, mathematics, computer science, or an MBA with a strong

analytics background preferred.

Prior internship or project experience in data science, analytics, consulting,

or retail / e-commerce / CPG data is a plus