Senior Data Science Software Engineer (Remote)
Company: Wood Mackenzie
Posted on: May 15, 2022
Wood Mackenzie is the global leader in data, analysis and
consulting across the energy, chemicals, metals, mining, power and
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
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
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
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 fifth
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 data scientist in Wood Mackenzie, a Verisk company, you will
leverage data scientist and data processing tools to work with our
top financial analytics in energy industry both from internal and
external clients to provide data insights to them to make important
investment recommendations or decisions.
You would have the opportunity to work on the most interesting and
challenging data in energy industry. You will be challenged to
continue adopting and developing cutting-edge digital technologies
on data science, as well as data processing platforms.
You will work with the best in the field of data scientist and
growing your skills from working on our team and making significant
impact on our business initiatives.
About The Role
This role will be part of the data asset team work working as part
of a cross functional team to deliver best in class data and
analytics to our clients. The mission of this team is to develop
the best quality of data through leveraging ML models and AI
technologies. It will further help to scale up the operation
through applying the innovative technology expanding into getting
new data insights for our clients in current and future adjacency
domains. You will be working with a very talented team as well as
our partners including AWS.
You will be thrilled everyday as being at the very frontline of
data science and big data processing technologies. Come to join us
if you would like to applying your data scientist skills to solve
the challenges and would like to become world class data scientists
while learning how to get the best data to help to make energy
The role will can be in places where Verisk had business offices in
US or Canada.
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
Undergraduate or Graduate degree in computer science, engineering,
mathematics or a related quantitative field.
3 - 5 years related experience with a Graduate degree, or
undergraduate degree with 7+ years related experience.
Demonstrated experience coding in Python.
End-to-end knowledge of the machine learning project lifecycle
including feature engineering, training, validation, and managing
models in a production environment.
Experience with open-source machine learning frameworks (e.g.
Experience with adopting Spark MLlibs or other popular machine
learning packages with Python or Scala to develop ML models for big
Experience with ML model management and deployment using tools like
MLFlow or similar tools
Worked with MLOp process to streamline the entire feature
engineering, ML modeling and model drift monitoring process.
Familiar with AWS platform can be leveraged for big data processing
for ML modeling such as Glue, SageMaker for big data processing,
feature engineering etc.
Knowledge of deep learning models and reinforcement learning
Hands on programming experience for leveraging signal processing to
remove noise and identify patterns in data (e.g. Scipy).
Experience with Spark and Cloud Data Stack.
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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Keywords: Wood Mackenzie, Austin , Senior Data Science Software Engineer (Remote), IT / Software / Systems , Austin, Texas
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