Job Id: 20210122012
Job Role: Data Scientist
Experience: 3+ Years
Job Location: Bangalore
Salary: Best in Industry
Vacancies: Not Mentioned
Job Description Rolls Royce Careers Job Openings in Bangalore for Data Scientist in January 2021:
Validate output from data analytics and balance this with knowledge and understanding to provide decision support to customers
Assess and develop future capabilities and technologies relevant for big data and predictive analytics. You will be working with state of the art tools, assess future trends, and develop services as demonstrators and beta service offerings for use in the near future.
Enable the on-going creation, translation and consumption of data-driven insights to help Rolls-Royce and our customers make better decisions – increasing the efficiency and effectiveness of the services that we and our customers deliver.
Address business problems that are ill defined and shifting where factors affecting the problem are not completely understood.
Contribute to the development or implementation of applications that demonstrate and illustrate the impact of data science on customer operations.
Trial new approaches, new techniques, new technologies, and assess the impact of the latest technology trends.
Demonstrating how data, algorithms, programming and visualisations can be employed to develop next generation data services.
Be instrumental in setting up and defining the capabilities needed to utilise business knowledge, mathematics, technology, design thinking and knowledge of behavioural sciences in our next generation data services.
Experience and Qualifications
Degree level education in Mathematics, Scientific, Computing or Engineering discipline or equivalent experience.
An ability to apply logical, analytical and innovative thinking on a range of technical problems, with a particular bias towards the application of existing analytical methods, the development of new methods and software engineering.
3 year experience with predicative analytics, advanced analytics and machine learning algorithms is essential.
Domain knowledge of one of the following; gas turbine engines, aircraft engineering, airline operations or aviation maintenance repair and overhaul is highly desirable
Ability to interpret complex business requirements, translating them into analytical problems and delivering high value outputs.
Experienced in the use of one or more current analytical / big data technologies such as Azure (Machine Learning, Stream Analytics, Data Factories etc…), R, Python (including relevant libraries), MATLAB, Spark, Hive, Hadoop, SQL, Tableau, Power BI, SPSS, JMP etc. Preferred knowledge of Python, Spark and Azure stack.
Experienced in exploring and visualising data, being able to work with large data sets.
Proactive, persistent and customer focused with a high level of self-motivation, initiative, and able to stand-alone.
Skilled communicator, able to engage with colleagues, customers and stakeholders and an ability to influence and negotiate compromise between different groups.