Data Analyst Internship and Mentorship

Role & responsibilities

Internship offers a career entry point for people who aspire to work at innovative business units with global industrial settings and exposure to standard industrial practice with mentorship of industry lead members.

Learning comprehensive standard innovative data analytics and machine learning model dealing from core products, insights of dataset and operational research of Curie Bloch Healthcare Innovation Technology.

Curie Bloch Interns dont sit on sidelines or desks; here the interns will learn, innovate and build industry standard solutions and tackle the complex business problems, driving the meaningful outcome from the industry leading tools for innovative products. Embarking on the journey of the internship is not about gaining the experience but its an opportunity to learn, build and implement standard dynamic real-time business solutions.

• Critical Data Analytics sections - Probability, Statistics, Data Visualisation and Machine Learning Model.

• Working with extensive and large-scale dataset with SQL, Git and documentation of the model.

• Understand and learn different Data Analytics based Machine Learning model.

• Working on programming language Python, range of industry standard tools and library packages.

• Developing the standard data-set for analytics for ready to work and process in the machine learning model.

• Complex Data Analytics and analytics based model in complex projects.

• Interns closely work with our products (RM Tools, Respsol).

• Developing a sample, individual, small product prototype or project prototype and data analytic app is a goal of this internship.

• A clear and careful documentation process is important for every work.

• Interns have to work jointly with mentor of curie in this internship, the mentors of the internship are project manager, product manager.

• 9 to 12 Industry project, dashboard provided to all interns.

• The 3 months task displayed in the download button and click here for more details.

• Data Analytics, Statistical Analysis, Programming, Data Analysis, Highly problem solving industry project.

• Working across various tools like SQL, Python Programming and other Industry Standard Tools.

• Intern should work with global team members and across geography. (Basic German Communication skills are an added advantage but its not mandatory).

• Build brief documentation and technical reports for the related analytical model. Design an analytical model of best industrial practice observed from the Mentorship Meeting.

• Data analytics with ML/ Data Analytics tools, MariaDB SQL, NOSQL, Project Management Tool (Youtrack), Git Version Control, Data Application Tools (eg, Plotly)