We’re Equinor, an international energy company with a proud history. Formerly Statoil, we are 20,000 committed colleagues developing oil, gas, wind and solar energy in more than 30 countries worldwide. We’re the largest operator in Norway, one of the world’s largest offshore operators, and a growing force in renewables. Driven by our Nordic urge to explore beyond the horizon, and our dedication to safety, equality and sustainability, we’re building a global business on our values and the energy needs of the future.
The role of the COO organisation is to drive consistent long term safe and efficient operational performance and value creation. The COO organisation is responsible for the corporate improvement programs and works closely with the line in continuously improving Equinor’s performance.
Equinor has launched a company-wide digital roadmap supported by a digital centre of excellence (CoE) to accelerate value creation from digital technologies. The digital roadmap consists of six programmes which covers the whole of Equinor’s value chain.
Digitalisation can improve safety and security, increase value creation from our operations and reduce our carbon footprint. The Digital CoE develops and manages the overall digital roadmap, ensuring that Equinor has the right portfolio of digital projects to realise the identified potential.
The Digital CoE have expert resources within digital program management, data science, analytics, software engineering and data management. Further, the Digital CoE supports with broad competence building within digital topics across the organisation.
Equinor has always been a leader in application of cutting edge IT technologies and we have accumulated vast quantities of data – 28 petabytes as of today. However, the full potential of these data is yet to be unlocked using advances in technology such as cloud computing and microservice architectures, application of advanced analytical algorithms within machine learning, deep learning, cognitive computing and artificial intelligence, and most importantly – your passion and creativity
The Senior/Principal Data Scientist is the person with the confidence and ability required to generate original data driven solutions to challenging business problems. They can move from one problem to another and from one business area to another seamlessly. They can deal with complex, messy and fragmented data to generate insights never seen before. They can collaborate with, learn from and educate top class professional colleagues with diverse backgrounds, from geology, to production engineering to supply chain management.
They will be challenged intellectually by working on new propositions, thinking about existing ones differently, working in small diverse groups and switching between hands on data science development and strategic thinking.
Engaging with internal customers to develop innovative data science solutions that will tap new opportunities and enable the business to do things better and more efficiently
Providing hands on modeling and data discovery that will lead to the insights needed to design and deliver transformational programs in ways never done before
Executing the plans developed with the senior team to create data driven processes that support Equinor’s Digital strategy
Deliver world class results in short time
Building innovative ways to automate repetitive processes
Keeping abreast of technological and theoretical developments in the field and the opportunities they may create
Create general solution to common problems such as sensor data processing pipeline
Contribute to the development of Equinor Data Science library with common data science pipelines for general internal use
The Senior/Principal Data Scientist will have the following experience-
Working for a cutting-edge technology business developing new products
At least 4 years’ experience in developing and delivering analytical solutions
Familiar with at least two of the following industries-
Oil & Gas
High Tech Manufacturing
Banking & Capital Markets
Retail & Consumer Goods
Experience in at least two of the following analytics applications
Machine Data utilization
Internet of Things
Supply Chain Analytics
Proficiency in Python and at least two years working experience with the following tools
Microsoft Azure data science and data engineering products
Data science driven software development
A solid understanding of how software components can be integrated to form a solution architecture, pros and cons of different technologies etc.
Strong experience relating to machine learning, optimization, Natural Language Processing, Knowledge Graph building and modeling, computer vision, data exploration etc.
Design and development of modelling data marts (feature engineering)
DevOps and continuous delivery
SQL & ETL development
Documentation & communication skills
7+ years of relevant experience preferred
Ability to live by our safety and security expectations
The Data Scientist will be required to work with stakeholders in various expertise areas, businesses and geographies, and cover multiple aspects of Equinor’s Digital strategy
This position requires great agility and intellectual curiosity. There will be unparalleled responsibility to shape future of Equinor Digital ambitions, provide thought leadership and contribute to long term success of Equinor.
Level of experience (years):
Senior (5+ years of experience)
How to apply:
Please mention NLP People as a source when applying