Data Scientist - Information Technology
Chennai, Tamil Nadu
Main purpose of role:
You will advocate, evangelise and build robust operational analytics and help pivot Petrofac’s culture understand and embrace the owner of data science. You’ll ‘dig in’ and become an expert on our EPC, global asset management, and Oil field operations datasets. You will provide insight into leading analytic practices, design and lead iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become part of our core deliverables. Your primary focus will be helping Petrofac implement a global data management strategy, building a global data lake + visualization software, applying data mining techniques, doing statistical analysis, and building high quality operational analytics to support and integrate with our products and services.

Leverage industry best practice to help define and implement a global data strategy which supports the centralisation, normalisation, and democratisation of Petrofac’s vast data stores.

Partner with global operational teams and platform owners to help build a global data lake

Lead master data cleansing and improvement efforts; including automated and cost-effective solutions for

processing, cleansing, and verifying the integrity of data used for analysis

Leverage agile methods to rapidly develop and iterate impactful operational analytics in PowerBI

Partner with global operational teams to support Petrofac’s cultural shift of a metrics-based culture

Research and develop statistical learning models for data analysis

Collaborate with product management and engineering departments to understand company needs and devise possible solutions

Implement new statistical or other mathematical methodologies as needed for specific models or analysis

Optimise joint development efforts through appropriate database use and project design

Pioneer OT and edge analytical capabilities on our remote oil field assets

Enhancing data collection procedures to include information that is relevant for building analytic systems

Partner with operational leaders and our customers to deliver value-added analytics tools which can be monetised or used to augment commercial offerings

Knowledge & Qualifications :
Advanced studies in Data science, Computer Science, Statistics, Applied Maths or related field

Solid (5+ years’) practical experience with SAS, ETL, SQL, data processing, database programming, NoSQL databases, such as MongoDB, Cassandra, HBase or data analytics

Experience with programming languages such as Java/Python an asset

Strong project management skills and the ability to balance multiple priorities without losing momentum

Skills :
Extensive background in data mining and statistical analysis

Able to understand various data structures and common methods in data transformation

Excellent pattern recognition and predictive modelling skills

Experience building and maintaining data lakes: including ETL skills in Talend / Informatica or related middleware

Strong focus on delivering outcomes our customers

Demonstrable skills in business partnership and influencing skill

Experience building or administering a global data lake

Defining, implementing, and maintaining a global data strategy

Experience building robust and impactful data visualisation solutions and gaining adoption

Data management:
modelling, normalisation, cleaning, and maintenance

Experience with ETL tools


Information Technology

Primary Location



CFO Office



Closing Date (Period for Applying) - External

Dec 1, 2019, 3:59:00 AM