Key Accountabilities: Develop new Algorithms that involve descriptive, prescriptive, predictive analytics, advanced statistics, and big Data. Continuously bring in the knowledge of latest techniques and methodologies in Data analytics, Machine Learning and Statistics. Understand complex problem statements and break-down into manageable tasks / work-packages. Strong familiarity with Agile frameworks. Create data visualization to provide analytical insights. Collaborate with several subject matter experts in the organization for deployment and validation of algorithms on existing products. Work with software engineering best practices such as version control, continuous integration, test driven development. Strong rigor in automating repetitive tasks. Define work packages for external partners for analytics task and steer the development by meeting quality requirements along with timeline. Lead and provide technical guidance to a team of data analysts and programmers to derive actionable insights from structured / unstructured data. Ensure quality of data and solution developed. Create high quality documentation of developed solutions. Qualifications Minimum Bachelors / Masters in Engineering with 6-10 years of relevant experience. Strong domain knowledge about internal combustion engine and associated subsystems. Previous experience with creating functions and algorithms to support internal / external customers within an engine development or service based environment. Should be able to identify opportunities for monetizing test bench and service data. Business acumen and strategic inclination to help leadership take data driven decisions. Ability to create business proposals. Strong Programming background and expertise in building machine learning models using Matlab/python or any other programming language. Machine Learning – good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests. Experience with Data Visualization Tools like matplotlib, ggplot, d3.js., Tableau Excellent Communication Skills, Stakeholder management Ability to formulate multiple complex problems into hypothesis and proof of concepts for testing. Should have experience in regression analysis and time series data. Able to work in Scrum methodology and Agile framework. Strong analytical skills to identify problems in data and propose solutions. Ability to transform business requirements into data science formulations and implement sustainable and scalable solutions. Attention to detail and strong data orientation. Ability to work in global cross functional teams. German language is an added advantage.

About Rolls-Royce

At Rolls-Royce, we're a force for progress: powering, protecting and connecting people everywhere. We’ve been at the forefront of innovation for more than a hundred years. Our engineering excellence is the power behind some of the most critical technologies used in the air, at sea and on land.