[New Job Vacancy] Data Science Intern – India job in Assurant, (Mumbai, Maharashtra) – Jobs in Mumbai, Maharashtra

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Job Opening details:-
Company Name :-
Assurant
Position Name :-
Data Science Intern – India
Company Location :-
Mumbai, Maharashtra
Job Category :-
Jobs in Mumbai

Full Job Description :-
Data Science Intern – who will help us with AI, Deep Learning and Machine Learning projects within Advanced Analytics team. The intern will collaborate with other teams in Data Analytics to get insights on the data, build models and add value in a meaningful way.
Data Science/Behavioral Analytics Interns
We are seeking multiple Data Science/Behavioral Analytics Interns to come join our team! Positions include AI, Deep Learning, Machine Learning and Behavioral Analytics. Assurant provides an excellent learning environment for Interns. They will assist the Advanced Data Analytics team to develop deeper analytical tools for our clients and implement creative internal solutions for specific business problems.
Conduct Analysis/Development 80%
Assist the Data Analytics Team by performing data collection, data analysis, digital analysis, modeling and reporting of key measurements
Assist with analyzing and developing innovative new and/or existing process changes
AI/ML Interns will gain experience using various state of the art tools and framework, designing and developing machine learning solutions from various format and content of data, including audio, image and structured and non-structured texts
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
In this opportunity the intern has the potential to gain experience, enhanced skill sets, and competencies that will make them more prepared for future roles:
Exposure to corporate environments
Critical thinking & problem-solving Skills
Increased hands-on experience in Python, Scala, R, SQL, SharePoint
Process and analyze industrial level data on big data platforms including Hadoop, TensorFlow, Spark, CUDA and more
Understanding of advanced Statistics, Probability, Machine and Deep Learning algorithms
Understanding of Data Warehouse principles and best practices
Ability to draw 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
Design and build novel/custom neural networks architectures
Evaluate accuracy and quality of the designed models as well as data sources
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. Master’s 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.)
General understanding of statistical learning principles
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 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 Qualifications:
Currently pursuing a Master or Ph.D. degree program in the following fields: Computer Science, Electrical Engineering, Mathematical Sciences – Applied Mathematics or Statistics or 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 Java, 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

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