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’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. 

We are seeking a Principal Data Scientist for our Analytics Lab group to generate innovative data analytic solutions that will solve complex business problems in collaboration with our clients. They will have experience in applying data mining techniques, performing statistical interpretation and building algorithmic models utilising expansive datasets. They should have strong communication and interpersonal skills and will be able to present their findings 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.

The successful candidate will embrace advanced techniques such as machine learning and artificial intelligence. They will be responsible for applying data science to our client’s business problems and communicating the new insights developed through their work. 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

• Developing analytical solutions using a variety of methodologies including predictive modelling, text mining, forecasting, network analytics and image processing
• Supporting data preparation activities to ensure data science is conducted on “analytics ready” quality datasets
• Performing model validation, hypothesis testing, and measuring model performance
• Promote a culture of continual growth, ensure we adapt with technical innovations to deliver new insights and creative solutions. Coach junior colleagues in these methods
• Report findings and interpretation of results through data visualisation or presentation in an effective manor
• Create prototype tools to demonstrate findings – building into scalable solutions where appropriate.
• Hold strategic relationships with different business stakeholders across Research, Product, Data, and Technology. Relate actions to strategic and commercial goals.

Knowledge & Experience

• Strong analytical skills including algorithm application with different mathematical approaches such as cluster and principal component analysis, linear and logistic regression, supervised learning algorithms, and similar statistical techniques
• Expert programming skills, particularly in Python (R a plus)
• Has delivered projects using Machine Learning libraries, such as TensorFlow, AML, scikit-learn, MLlib, caret
• Strong data modelling skills and experience of working with both structured and unstructured data
• Advanced skills in a data visualisation solution (such as Spotfire, PowerBI, GGplot, or Plotly)
• Adept at cloud-based deployments of data processes and data science
• Excellent communication skills, including mentoring junior team members and discussing designs at abstract and more tangible implementation levels

• Strong organization and planning skills and the ability to manage own workload and that of others within sometimes tight timescales
• The ability to work as part of a team involving multiple locations and time zones
• Commitment to excellence and meeting high quality standards expected by our clients
• Attention to detail, high standard of excellence, passionate about the value-add from high quality data science
• Ability to develop content and explain data science work to business stakeholders

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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

Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.

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