Oracle Internship Opportunities for Freshers | Consulting | B.E | B.Tech | M.Tech | Engineering | Mechanical | Electrical | Electronics | ENTC | Computer | Business Analytics | Machine | learning | other quantitative field | 0 - 0 yrs | Europe careerforfreshers

Oracle Internship Opportunities for Freshers | Consulting | B.E | B.Tech | M.Tech | Engineering | Mechanical | Electrical | Electronics | ENTC | Computer | Business Analytics | Machine | learning | other quantitative field | 0 – 0 yrs | Europe





Oracle Corporation is an American multinational computer technology corporation headquartered in Redwood Shores, California. The company sells database software and technology, cloud engineered systems, and enterprise software products—particularly its own brands of database management systems

Internship in Consulting – Business Analytics/Machine learning, based in Rome

Oracle Consulting Services (OCS) has an extremely high profile with customers. We understand and analyze their IT problems and opportunities, then provide the best Oracle technology solutions. Technology and Applications consultants act as trusted advisors for customers, and do whatever it takes to deliver solutions that meet their business and value objectives.




As a consulting business, customer relationships are the heart of growing our business. We are ambassadors at the customer site both to create the right relationship and trust from the customers and to deliver high quality projects, services and advices. Our skills and capabilities are Oracle Consulting’s most important asset.
We are looking to add an Intern for our Data Analyst team to support our competitive growth within the Advanced Analytics tech industry.
The Candidate will work mainly on framing and expanding the advanced analytics capability of the Practice. Passion and ability for data exploration, analysis and modeling is mandatory. Our people design and develop systems to support strategic business decisions.
As a member of the Oracle BA Team, the candidate will assist in defining and supporting the development of Advanced Analytics capability.




Job Description:
Bachelor’s or Master degree in Mathematics, Statistics, Engineering or other quantitative field
Knowledge of machine learning techniques, algorithms (k-NN, Naive Bayes, Hidden Markov and others) and approaches (supervised/unsupervised/reinforcement learning)
Data mining and Statistical analysis languages such as R, Python, SQL
Deep understanding of regression techniques
Highly analytical and quantitative, with strong attention to details
Self-starter attitude, with excellent written and verbal communication
Ability to thrive in a fast-paced environment
Enthusiasm about learning!




To Apply,Click here!