Data Science Intern (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Data Science Intern (AI): Analyzing large-scale datasets and applying NLP techniques, machine learning, and generative AI to uncover trends in workforce sentiment and talent analytics. Focus on building predictive models, integrating LLM capabilities, and translating analytical findings into actionable business insights with measurable impact.
Location: Hybrid in Chicago, United States
Salary: $3,200–$4,000 monthly (USD)
Company
is a global consulting firm that helps businesses unlock potential, unleash transformation, and synchronize strategy, operations, and talent to accelerate performance and fuel growth.
What you will do
- Analyze large datasets (employee review records) using NLP techniques (sentiment, topic modeling) to uncover workforce sentiment and trends.
- Integrate AI/LLM capabilities to summarize topics, generate narrative insights, and support exploratory analysis at scale.
- Build machine learning and predictive models linking sentiment and topics to outcomes like retention risk or engagement.
- Translate analytical findings into actionable business insights with clear visualizations and executive-ready summaries.
- Prepare and clean datasets, conduct exploratory analyses, and produce summary reports for GenAI projects.
- Build and document reproducible Python prototypes for model experiments and GenAI proof-of-concepts under senior guidance.
Requirements
- Currently pursuing a Bachelors, Masters, or PhD in Data Science, Computer Science, Statistics, Computational Social Sciences, or a closely related field.
- Hands-on coursework or research projects using Python or R for data analysis and machine learning.
- Experience with SQL for querying relational data.
- Experience creating data visualizations (Matplotlib/Seaborn/Plotly, ggplot2, Tableau/Power BI, or similar).
- Familiarity with Git/GitHub (commits, branches, pull requests).
- Strong curiosity, eagerness to learn, and good written/verbal communication skills.
Nice to have
- Coursework, thesis/research, or project experience with machine learning (supervised learning, model evaluation) and/or exposure to generative models (transformers, LLMs, prompt engineering).
- Familiarity with cloud platforms (Azure/Azure ML).
- Prior research assistantships, internships, or practical experience prototyping analytics/ML solutions.
Culture & Benefits
- Work in a small, tight-knit team that encourages moving fast, thinking big, and creating real business value.
- Opportunity to work at the intersection of people science and cutting-edge AI with high visibility.
- Exposure to a rich collection of people and assessment data to produce high-quality insights.
- Access to Cares Wellbeing Platform with health benefits (Medical, Dental, Vision, Short Term Disability, Basic Life and Accidental Death & Dismemberment), Critical Illness, Accident Injury, Hospital Indemnity, and Legal Insurance.
- Eligibility to enroll in 's Tax Deferred Savings plan 401(k) and Employee Stock Purchase Program.
- 15 days vacation annually plus paid time off for 16 company holidays and 80 hours of sick time.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →