Data Scientist, Manyata Tech Park, Bangalore, IN
An exciting opportunity has arisen for a Data Scientist to join Rolls Royce Data Labs, Bangalore, India.
You will be employed by Rolls Royce. You will develop the capability and application of business knowledge, mathematics, technology, design thinking and behavioural sciences to enable better decision support solutions within our data services and implement those decisions with the customer.
At Rolls-Royce, we pioneer cutting-edge technologies that deliver the cleanest, safest and most competitive solutions to our planet’s vital power needs. We embrace the power of data and technology and aim to be Digital First in everything we do.
To ensure we continue to be pioneers of our industry, Rolls-Royce has a team of over 16,500 engineers around the globe. They include everyone from world experts in their field to those who manage hundreds of people and millions of pounds worth of investments. We recruit engineers at all levels and in a range of disciplines. And while we encourage specialisation, we also offer freedom to cross-specialise and develop skills across a number of different areas.
As a Data Scientist, this is your chance to flex your expertise in analysis, visualisation and algorithmic / mathematical computations and extract insights from data in response to these business problems, questioning and hypothesising using the data available from our customers, within Rolls-Royce and externally.
You will rapidly develop prototype applications that productionise the solutions identified so that they can deliver beta services to customers and work with other teams in order to transition these solutions into full service. You will enable the on-going creation, translation and consumption of data-driven insights to help Rolls-Royce and their customers make better decisions - increasing the efficiency and effectiveness of the services that we and our customers deliver. You will be dynamic and creative, and willing to take on any challenge and make a big impact. You will also demonstrate a strong entrepreneurial drive.
Rolls-Royce is one of the most technologically advanced organisations in the world - and our information systems are no exception. By improving information systems (applications and data) and technologies, we support overall business strategy and help teams throughout Rolls-Royce prepare for the future.
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.
Desired to have experience in NLP(natural language processing) and text analytics.
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.
We offer excellent development prospects, along with a competitive salary and exceptional benefits.
Pioneer beyond tomorrow. Join us and you’ll develop your skills and expertise to the very highest levels, working in an international environment for a company known the world over for brilliance and innovation.
We are an equal opportunities employer. We’re committed to developing a diverse workforce and an inclusive working environment. We believe that people from different backgrounds and cultures give us different perspectives. And the more perspectives we have, the more successful we’ll be. By building a culture of respect and appreciation, we give everyone who works here the opportunity to realize their full potential.
You can learn more about our global Diversity and Inclusion strategy here
So that you can be your best at work and home, we’ll consider flexible working arrangements for everyone, in any role .