Senior Data Scientist

  • Boston, MA, USA
  • Full-time
  • Verisk Business: Wood Mackenzie
  • Is this an Analytics Req?: No

Company Description

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:

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.  

Job Description

Genscape operates the world’s largest private network of in-field monitors and distributes industry-leading alternative data, delivering unsurpassed market intelligence across the commodity and energy spectrum including power, oil, natural gas, natural gas liquids, agriculture, biofuels, and maritime freight.

To learn more about Genscape, A Wood Mackenzie Business, please visit us at:

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.  

The Senior Data Scientist will be involved in developing novel data science and analytics for commodities and energy and financial markets in order to collect and deliver information on fundamental market supply chain dynamics.

Existing Genscape remote sensing networks employing a range of measurement technologies (electromagnetics, acoustics, infrared, ground-based and aerial photogrammetry, satellite imaging etc) to collect novel data and signals from thousands of global locations for Power, Natural Gas, Oil, Petrochemical, Maritime and Agicultural markets in real-time.

The research scientist will discover new methods of measurement, signals detection and associated analytics as well as work to optimize existing technology platforms. 


·       Masters or PhD in engineering, AI/ML, math, remote sensing, imaging, image and signals processing or other closely related measurement and analytical sciences.

·       Extensive hands-on data and systems development, data acquisition and research analysis experience in one or more of the following fields:, thermal, near infrared, acoustics, optics, image acquisition, airborne and other remote sensing technologies.

·       Advanced data analysis and signal processing skills with an ability to independently prototype sensor systems, acquisition protocols, data handling and analysis applications (Matlab, Advanced Image Processing programming or other independent application development experience a plus).

·       Software development for data manipulation, data mining or prototype development using Excel, C#, Matlab, R, SAS or Python.

·       Good foundation in mathematical modeling, statistical skills, forecasting, data mining, financial modeling, operations research or recommendation algorithms.

·       Capability and desire to acquire analyze and present physical measurements taken in the field.

·       Hands-on independent field work will be a major component of the job.

·       Skilled in creative, strategic thinking and the ability to propose and deliver simple solutions to complex puzzles.

·       Excellent communication and collaboration skills, the data scientist position is expected to directly work with product strategists, product management and sales.

·       Self-motivated and autonomous.

·       Excellent team player, with a proven track record of working well with other researchers to achieve a common goal.

·       Disciplined in documentation and excellent at clear presentation of work to technical and non-technical audiences.


Additional Information

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.

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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