Wood Mackenzie is the global leader in data, analysis and consulting across the energy, chemicals, metals, mining, power and renewables sectors.

Founded in 1973, our success has always been underpinned by the simple principle of providing trusted research and advice that makes a difference to our customers. Today we have over 2,000 customers ranging from the largest global energy companies and financial institutions to governments as well as smaller market specialists.

Our teams are located around the world. This enables us to stay closely connected with customers and the markets and sectors we cover. Collectively this allows us to offer a compelling combination of global commodity analysis with detailed local market knowledge.

We are committed to supporting our people to grow and thrive. We value different perspectives and aspire to create an inclusive environment that encourages diversity and fosters a sense of belonging. We are committed to creating a workplace that works for you and encourage everyone to get involved in our Wellness, Diversity and Inclusion, and Community Engagement initiatives. We actively support flexible working and are happy to consider alternative work patterns, taking into account your needs and the needs of the team or division that you are looking to join. 

Hear what our team has to say about working with us:

https://www.woodmac.com/careers/our-people/

We are proud to be a part of the Verisk family of companies! 

At the heart of what we do is help clients manage risk. Verisk (Nasdaq: VRSK) provides data and insights to our customers in insurance, energy and the financial services markets so they can make faster and more informed decisions.   

Our global team uses AI, machine learning, automation, and other emerging technologies to collect and analyze billions of records. We provide advanced decision-support to prevent credit, lending, and cyber risks. In addition, we monitor and advise companies on complex global matters such as climate change, catastrophes, and geopolitical issues.  

But why we do our work is what sets us apart. It stems from a commitment to making the world better, safer and stronger.  

It’s the reason Verisk is part of the UN Global Compact sustainability initiative. It’s why we made a commitment to balancing 100 percent of our carbon emissions. It’s the aim of our “returnship” program for experienced professionals rejoining the workforce after time away. And, it’s what drives our annual Innovation Day, where we identify our next first-to-market innovations to solve our customers’ problems.   

At its core, Verisk uses data to minimize risk and maximize value. But far bigger, is why we do what we do. 

At Verisk you can build an exciting career with meaningful work; create positive and lasting impact on business; and find the support, coaching, and training you need to advance your career. We have received the Great Place to Work® Certification for the fourth consecutive year. We’ve been recognized by Forbes as a World’s Best Employer and a Best Employer for Women, testaments to our culture of engagement and the value we place on an inclusive and diverse workforce.  Verisk’s Statement on Racial Equity and Diversity supports our commitment to these values and affecting positive and lasting change in the communities where we live and work.  

As a software engineer in Wood Mackenzie, a Verisk company, you will work with our top financial analytics in energy industry both from internal and external clients to develop applications in big data analytics to support them to make important investment recommendations or decisions.  You would see immediate impact of your work with the effort you put in. You will be challenged to continue adopting and developing cutting-edge digital technologies on software, as well as data platforms. You will be the best in the field from working on our team and leading and contributing to our initiatives.

About the role 

This role will be part of the advanced data pipeline development team. The mission of this team is to develop data pipelines with the latest cutting-edge technologies and use it to support conventional Oil & Gas data analytics. It will further to support and scale up the operation through applying the new technology across various sectors including power, renewable, metal, commodity, etc. You will be part of a very talented team as well as our partners including AWS.  You will be thrilled everyday as being at the very frontline of data engineering and analytical technologies. Come to join us if you would like to take on data challenges and would like to become world class data engineer while learning how to use data to help to make energy investment decisions. The role will be located in Houston, TX.

The level of appointment to which band on the company banding structure will be dependent on your skills, experience and capabilities demonstrated at assessment prior to offer of employment.

We would like to invite the candidate who had strong software development background plus good knowledge on statistics and machine learning to join our team.

Required (or must have) qualifications/skills:

• Software development experience is a must
• Familiar with the software development lifecycle including architect review, unit test, software deployment and maintenance.
• Strong object-oriented programming skills and proficient in Python.
• Some experience with container-based application development and deployment.
• Experience working with AWS technologies
• Familiar with data warehousing, data ingestion, and data profiling
• Knowledge in relational databases.
• Experience in application development on Hadoop/Spark. In depth knowledge of building/operating highly available, distributed systems.

Preferred (or nice to have) qualifications/skills

• Experience in big data development on Hadoop or Spark frameworks. In depth knowledge of building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets.
• Working knowledge of statistical models and machine learning algorithms
• Familiarity with deep learning and reinforcement learning
• Understand the application of signal processing
  • Desired education and/or certification
• Master or higher in computer science/computer engineering, or equivalent industry experience

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Verisk Analytics is an equal opportunity employer.

All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability.

http://www.verisk.com/careers.html

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