For the past 40 years, Wood Mackenzie has established its reputation as a trusted source of intelligence, enriching lives by empowering clients with unique insight on the world’s natural resources.

Now, as part of the Verisk family, that legacy is even stronger. Aligning with the world’s leading data analytics company extends our ability to support clients with our unrivalled analysis and advice.

Together, we inspire and innovate the markets we serve – providing invaluable intelligence that informs the strategy that will ultimately shape the future direction of our global natural resources.

Team Description

The Analytics Lab team at Wood Mackenzie is working to find new ways of unlocking value for clients through data and analytics.  We are building a collaborative environment that facilitates bespoke data sharing within Study Groups of clients to conduct pilot projects to evaluate the power of predictive models on combined datasets. 

Role Purpose 

Wood Mackenzie is seeking a Senior Data Engineer to join our Analytics Lab team to generate innovative data solutions that will solve complex business problems in collaboration with our clients. They will have experience in applying data mining techniques, extracting data from a variety of sources and data types, complex data transformations, and preparing tidy data sets suitable for machine learning algorithms.  They should have strong communication and interpersonal skills and will be able to explain the provenance and quality of final data sets to colleagues from all areas of the business and to clients.

The role requires a strong data-focussed personality, with a keen eye for detail. They should have experience of working in a data environment with multiple streams of data. We are looking for someone who has an innovative approach to working with data and is willing to learn technologies that create new data solutions.

This successful candidate for this role must have a strong technology background, and understand the challenges of building a modern data centric business. Proven technical experience in data transformation and collaborative data science in a cloud or shared data environment. Achieving results will hinge on an ability to work collaboratively with colleagues across organizations and stakeholder groups, developing creative solutions to new problems, and leveraging the expertise and talents of Wood Mackenzie and the wider Verisk company group.

Main Responsibilities

• Design, prototype and productize data sets that are used both internally and externally for predictive analytics.
• Collaborate with our internal research teams to ensure data inputs and outputs are interpreted and utilized in predictive data sets correctly and appropriately in context.
• Develop tools to explore and interrogate datasets to communicate the completeness, quality, provenance, and fidelity of the underlying data.

Knowledge & Experience

• Strong data modelling skills and experience working with both structured and unstructured data
• Experience building and managing production data pipelines using a variety of technologies to deliver data in a variety of formats.
• Expert level Python, with working knowledge or comfort level with some other languages (including, not limited to, Java, R, .NET, Julia, etc), using a variety of environments (such as Jupyter notebooks, R Studio / Shiny, etc).
• Delivered data projects to data science teams.
• Experience delivering projects using Machine Learning libraries, such as TensorFlow, AML, scikit-learn, MLlib; familiar with various optimization, supervised learning, and unsupervised learning techniques.
• Advanced skills in a data visualisation packages (such as D3, PowerBI, GGplot).
• The ideal candidate will have an advanced degree in a relevant field of study and a few years of work experience.

Core Competencies

• Excellent communication skills, including mentoring more junior developers, and discussing architectural designs at both abstract and tangible implementation levels.
• Strong organization and planning skills and the ability to manage own workload and that of others within sometimes tight timescales.
• Experience and passion for working with complex data with a strong attention to detail and statistical intuition.
• Evidence of delivering innovative solutions having challenged conventional thinking and demonstrated how data science can inform and support decision making.

What you’ll love about Wood Mackenzie

For the past 45 years, we have established our reputation as a trusted source of knowledge and forward- looking insight for the world’s most innovative organisations. 

Our teams are located around the world and deliver research and consulting projects based on our assessment and valuation of thousands of individual assets, companies and economic indicators such as market supply, demand and price trends. As a result, we can count the world’s key energy institutions and governments among our most loyal clients.

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 value everyone’s contribution and support them to reach their full potential while sustaining an organisational culture of health and well-being. There are opportunities 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 part of a company that has been named as a Best Employer by Forbes Magazine and on the Forbes Most Innovative Companies list three years running. Verisk is one of only 15 out of 500 companies to appear on both lists. We are proud to be a part of the Verisk family of companies!

What you’ll love about Verisk

Verisk Analytics has an amazing story to tell. In 2017, Forbes magazine named Verisk to its World’s Most Innovative Companies list for the third consecutive year and to its America’s Best Mid-Size Employers list. We also earned the Great Place to Work® Certification for the second consecutive year in recognition of our outstanding workplace culture.

Verisk is a leading data analytics provider serving customers in insurance, natural resources, and financial services. We’ve been delivering data, analytics, and decision support services to our customers for more than 45 years, helping them protect people, property, and financial assets. At Verisk, you’ll be part of an organization that’s committed to serving the long-term interests of our stakeholders, including the communities where we operate.

At Verisk, you can build an exciting career with meaningful work; create a positive and lasting impact on the business; and find the support, coaching, and training you need to advance your career. Our culture of innovation means your ideas on how to improve our business will be heard. As key contributors to our success, our team members enjoy working in a business-casual, collaborative environment that offers state-of-the-art resources, advanced technologies, and an excellent benefits package.

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