Description

We are looking for an intern to join the Insights team to work on extracting insights from weakly structured data. For example, from call center interactions, identify common issues people contact about. Or, from marketplace reviews, understand what people value in our smart devices. To solve such tasks, we use all the tools available to us - LLMs, embeddings, clustering algorithms, ML classifiers. We call this LLM-supported analytics.

Responsibilities

Tasks:

• build MVPs for NLP tasks
• work intensively with LLMs
• extract insights from unstructured data
• conduct analytics and data work
• develop clustering algorithms.

Requirements

We expect from you:

• full-time internship (full-time), 40 hours per week
• you are a full-time student from the 2nd-3rd year of a university (it will be a plus if you study at MIPT, HSE, Moscow State University or at Baumanka)
• proficiency in Python, ML, DS competencies
• confident user of the PC Cursor
• ability to program in python
• basic skills in working with pandas and ability to build visualizations
• ability to prompt
• burning eyes and desire to work ;)

Conditions

We offer:

• a comfortable modern office near Kutuzovskaya metro station
• opportunity to choose a convenient schedule - office/hybrid
• opportunity to transition to a permanent position in the company based on the results of the internship
• more than 400 educational programs from SberUniversity for professional and career development
• reward for recommending friends to the Sber team.