Data Scientist

**Job Requirements**

Experience (guideline)

4+ years

**Responsibilities**:
Key Accountabilities
- 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.
- 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.

Key Experience and Qualifications
- Degree level education in Mathematics, Scientific, Computing or Engineering discipline or equivalent experience.
- Experience with predicative analytics, advanced analytics and machine learning algorithms are 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), SAS, MATLAB, Spark, Hive, Hadoop, SQL, Tableau, Power BI, SPSS, JMP etc.
- 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.

**Work Experience**

Experience (guideline)

4+ years

**Responsibilities**:
Key Accountabilities
- 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.
- 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.

Key Experience and Qualifications
- Degree level education in Mathematics, Scientific, Computing or Engineering discipline or equivalent experience.
- Experience with predicative analytics, advanced analytics and machine learning algorithms are 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), SAS, MATLAB, Spark, Hive, Hadoop, SQL, Tableau, Power BI, SPSS, JMP etc.
- 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