Ai & Data Science Internship (Buenos Aires)

**AI & Data Science Internship: Job Description**

**Conduct Analysis/Development 80%**
- Critical thinking & problem-solving Skills
- Hands-on experience in Python, SQL, SharePoint, Power BI
- Process and analyze workforce related data using primarily Python
- Derive actionable insights from enriched employee-related datasets to inform HR decisions.
- Design, develop, and implement novel deep learning, computer vision and language modeling algorithms for unique use cases.
- Develop Large Language Model/Generative AI capabilities and evaluate LLM models on statistical tests, business metrics and bias
- Evaluate accuracy and quality of the designed models as well as data sources

**Project Management 20%**
- Present analytical insights and recommendations to HR and business leaders
- Participate in brainstorming sessions to develop innovative, people-centered solutions
- Support the creation of process maps, SOPs, and documentation
- Strengthen written and verbal communication through collaborative projects

**Basic Qualifications**:

- Minimum of 2nd year completed and currently enrolled in 3rd or 4th year of undergraduate Mathematics, Computer Science, Statistics, Business Management, Information Systems, or related program of study.
- Data cleaning and transformation capabilities
- General understanding of data science process flow
- Understanding of advanced Statistics, Probability, Machine and Deep Learning algorithms
- Proficient with Python or R
- Proficient with SQL Query language and relevant techniques (tables, indexing, filtering, joins, Window functions, etc.)

**Other skills**:

- Ability to work in a team environment
- Excellent written and verbal communication skills
- Detail oriented and possess excellent follow up skills
- Must be organized and work well with constant priority changes
- Must be able to work independently with mínimal supervision
- Professional demeanor
- Sustains a positive outlook and views challenges as opportunities
- Analytical/strategic thinker
- Ability to deal with ambiguity and the corresponding ability to quickly provide sound decisions and perform tasks with less than complete information

**Preferred Qualifications**:

- Currently pursuing a Bachelor’s degree in one of the following fields: Computer Science, Mathematical Sciences (Applied Mathematics or Statistics), Data Analytics, Data Science, Computational Physics, Operations Research, or related disciplines.
- Experience in advanced data analytics and visualization tools
- Related work or equivalent project experienceResearch and development experience in the field of Prompt Engineering, Large Language Models (LLM) and Generative AI

**Helping People Thrive in a Connected World**

**What’s the culture like at Assurant?** Our unique culture is a big reason why talented people choose Assurant. Named a Best/Great Place to Work in 13 countries and awarded the Fortune America’s Most Innovative Companies recognition in 2023, we bring together top talent around the world. Although we have a wide variety of skills and experiences, we share common characteristics that are uniquely Assurant. A passion for service. An ability to innovate in practical ways. And a willingness to take chances. We call our culture The Assurant Way.

**Company Overview** Assurant is a leading general business services company that supports, protects, and connects major consumer purchases. A Fortune 500 company with a presence in 21 countries, Assurant supports the advancement of the connected world by partnering with the world’s leading brands to develop innovative solutions and deliver an enhanced customer experience through mobile device solutions, extended service contracts, vehicle protection services, renters insurance, lender-placed insurance products, and other specialty products.

**Equal Opportunity Statement** Assurant is an Equal Employment Opportunity employer and does not use or consider race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other characteristic protected by federal, state, or local law in employment decisions.

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