60 applicants

Company

Assurant · 3 hours ago

AI/Data Science Intern

United States

Internship

Remote

Intern

$0/yr - $0/yr

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Customer ServiceFinance

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Responsibilities

Conduct Analysis/Development 80%

Exposure to corporate environments

Critical thinking & problem-solving Skills

Hands-on experience in Python, Scala, R, SQL, SharePoint, Power BI/Tableau

Process and analyze industrial level data on big data platforms including Hadoop, TensorFlow, Spark, CUDA and more

Derive insights from enriched content data set that are actionable for the business

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

Design and build novel/custom neural networks architectures

Evaluate accuracy and quality of the designed models as well as data sources

Project Management 20%

Build PowerPoint presentations and present insights from given analyses to the leadership team

Participate in brainstorm sessions in the development of new solutions

Strong written and oral communication skills

Assist in the development of process mapping, standard operating procedures and work instructions

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

AIMachine LearningDeep LearningGenerative AIPythonRSQLPower BITableauBig DataHadoopTensorFlowSparkCUDANumPyPandasScikit-LearnMatplotlibSeabornData CleaningData TransformationStatisticsProbabilityComputer VisionLanguage ModelingNeural NetworksDockerKubernetesDjangoFlask

Required

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. Master’s (or higher) degree candidates will also be considered

2+ years of strong Excel, Power BI/Tableau and PowerPoint experience

Familiarity with Python or R and relevant libraries (NumPy, Pandas, Sciki-Learn, Matplotlib, Seaborn, etc.)

Data cleaning and transformation capabilities

General understanding of data science process flow

Proficient with SQL Query language and relevant techniques (tables, indexing, filtering, joins, Window functions, etc.)

Understanding of advanced Statistics, Probability, Machine and Deep Learning algorithms

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 minimal supervision

Professional demeanor

Sustains a positive outlook and views challenges as opportunities

Analytical/strategic thinker

Ability to quickly learn new applications

Ability to deal with ambiguity and the corresponding ability to quickly provide sound decisions and perform tasks with less than complete information

Preferred

Currently pursuing a Master or Ph.D. degree program in the following fields: Computer Science, Mathematical Sciences - Applied Mathematics or Statistics, Data Analytics, Data Science, Computational Physics or Operations Research, or equivalent fields

Strong hands-on capabilities, familiar with Windows and/or Linux operations systems and applications

Proficient in one or multiple programming languages in Python, C++, Scala are preferred

Experience in advanced data analytics and visualization tools including Microsoft Office Suite, Power BI/Tableau, Django, Flask, TensorFlow.js, etc.

Experience in SQL/NoSQL, Digital Analytics, Machine learning, and knowledge of data management/warehousing are highly desired

1+ year of related work experience or equivalent project experience

Experience with big data, deep learning frameworks and cloud computing platforms, like Spark, CUDA, TensorFlow, Keras, OpenCV, Azure, AWS, GCP

Experience with containerization technologies in Docker and Kubernetes is a plus

Research and development experience in the field of Prompt Engineering, Large Language Models (LLM) and Generative AI

Company

Assurant

Glassdoor

3.6

Assurant provides protection products and related services to safeguard companies against risks.

Founded in 1892

New York, New York, USA

10001+ employees

http://www.assurant.com

H1B Sponsorship

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Trends of Total Sponsorships

2023 (4)

2022 (1)

2021 (4)

2020 (1)