With these top 10 data science internships, you can kick start your career in data science
Data science is one of the ground-breaking fields for students who have a knack and a keen eye for details in the world of science and technology. This growing demand for data professionals gives rise to data science, making it a must-have skill in today's data-driven world. Companies are in dire need of aspiring data scientists for proper usage of the continuous flow of real-time data to enhance the business in the competitive world. The future of a company is dependent on data science due to the upsurge of raw data in the tech-savvy era. So, what is the best way to kick-start your career in data science? Yes, lucrative data science internship experiences from reputed companies. Here is a list of the top 10 data science internships to apply for this month.
Responsibilities:
- Summarizing the content we provide on machine learning in a well-standardized way in different fields
- Learning, developing new models in artificial neural networks, convolutional neural networks, and blockchain technology involved platforms
- Working with the team to manage, optimize, the models you built
- Building dashboards and PowerBI analytics
- Working on AWS and related services
- Working on the deployment of models in server
Skill(s) Required:
Python Data Analytics Django Machine Learning MS SQL Server Data Science Amazon Web Services (AWS) Natural Language Processing (NLP) Artificial Intelligence Amazon Web Server (AWS)
Responsibility:
Driving research on all current AI/ML advancements and relevance to any industry.
Skill(s) Required
Python, MS-Word. SQL, Statistical Modeling, Machine Learning, MS-Excel, R Programming, Data Science, Deep Learning
- Perform Foundational Data, ML, and AI Tasks in Google Cloud
- Insights from Data with BigQuery
- Create ML Models with BigQuery ML
- Review of Submitted Assignments
Requirements:
- Bachelor's degree or pursuing in Computer Science, Mathematics, or related field
- More education, certifications, or other distinctions are a plus.
- Proficiency with computers, especially MS Office and analytics software, mastery of certain programming languages may be required.
- Strong math, organization, critical thinking, and problem-solving skills.
- Exceptional coding abilities.
- Ability to summarize and explain complex information to other
Satyukt Analytics Private Limited
- Develop deep learning/machine learning models
- Work on image pre-processing
- Find and implement the right algorithms and tools for image classification
- Who are available for a full time (in-office) internship
- Who can start the internship between 20th Jan'22 and 24th Feb'22
- Who are available for 6 months
- Who have relevant skills and interests
Skills Required:
OpenCV, Data Analytics, Image Processing, and Data Science
- Analyze AI use-cases and develop engineering applications related to data mining, computer vision, machine learning, and natural language processing
- Work on end-to-end AI/ML solution deployment and effectively communicate results/findings through data visualization
- Work on bridging the gap between the latest in deep learning research and its application in real-world products
- Understand the RPA landscape and support in implementation
- Support in virtual bots management for the automation support
- Support documentation throughout the software development lifecycle
- Participate in discussions regarding designing of process automation and participate in process optimization workshops
- Who are available for the part-time job/internship
- Who can start the part-time job/internship between 19th Jan'22 and 23rd Feb'22
- Who are available for 6 months
- Who have relevant skills and interests
Skills required:
Java, Python, SQL, Machine Learning, Data Science and Artificial Intelligence
- Working on data science algorithms and AI concepts.
- Using Python, Tensorflow, Keras for model development.
- The building or enhancing existing AI models using Python, ML, and deep learning algorithms.
- Processing of large image datasets.
- B .Tech/ BE /M.Tech degree with a specialization in computer science or equivalent degree
- Have used python in developing AI algorithms.
- Have developed Deep learning or computer vision algorithms.
- Have experience in using AI algorithms i.e. classification, regression, clustering, etc.
- Have an understanding of working on clouds.
Responsibilities
- Working on data science algorithms and AI concepts
- Using Python or R for web scraping
- Building AI models using Python, machine learning, and deep learning algorithms
- Processing of unstructured/structured data
Requirements:
- Who are available for a full time (in-office) internship
- Who can start the internship between 20th Jan'22 and 24th Feb'22
- Who are available for a duration of 6 months
- Who have relevant skills and interests
Python and Machine Learning
Ganit Business Solutions Private Limited
Responsibilities:
- Conducting complex data analysis to ensure data quality & reliability, i.e., make the data talk by extracting, preparing, and transforming it
- Identifying, developing, and implementing statistical techniques and algorithms to address business challenges and add value to the organization
- Gathering requirements and communicating findings in the form of a meaningful story with the stakeholders
- Building and implementing data models using predictive modeling techniques
- Should have knowledge of R or Python with good SQL & MS Excel skills
- Should have knowledge and understanding of various statistical techniques, mathematical models, and algorithms to start the conversation with the data in hand
- Should have a Bachelor's/Master's in engineering/tech or an MBA or M.Sc. in Statistics or Maths
- Understand company and client challenges and how integrating AI capabilities can help create solutions
- Lead cross-functional teams to identify and prioritize key areas of the partners business where AI solutions can drive significant business benefit
- Analyze and explain AI and machine learning (ML) solutions while setting and maintaining high ethical standards
- Collaborate with product design and engineering to develop an understanding of needs
- Research and devise innovative statistical models for data analysis
- Bachelor's degree in statistics, applied mathematics, or related discipline preferred
- Proficiency in data mining, mathematics, and statistical analysis
- Advanced pattern recognition and predictive modeling experience
- Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (i.e., Java/Python, SAS)
- Comfort working in a dynamic, research-oriented group with several ongoing concurrent projects
- Selected intern's day-to-day responsibilities include:
- Work on industry-specific problems with data
- Understand the data distribution
- Read research papers on newer AI models and decode the same into code
- Work on one sample problem and present the findings in a document
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