Sr Innovation Data Scientist at Allstate

The world isn’t standing still, and neither is Allstate. We’re moving quickly, looking across our businesses and brands and taking bold steps to better serve customers’ evolving needs. That’s why now is an exciting time to join our team. You’ll have opportunities to take risks, challenge the status quo and shape the future for the greater good.
You’ll do all this in an environment of excellence and the highest ethical standards – a place where values such as integrity, inclusive diversity and accountability are paramount. We empower every employee to lead, drive change and give back where they work and live. Our people are our greatest strength, and we work as one team in service of our customers and communities.
Everything we do at Allstate is driven by a shared purpose: to protect people from life’s uncertainties so they can realize their hopes and dreams. For more than 89 years we’ve thrived by staying a step ahead of whatever’s coming next – to give customers peace of mind no matter what changes they face. We acted with conviction to advocate for seat belts, air bags and graduated driving laws. We help give survivors of domestic violence a voice through financial empowerment. We’ve been an industry leader in pricing sophistication, telematics, digital photo claims and, more recently, device and identity protection.
We are the Good Hands. We don’t follow the trends. We set them.
Job Summary:
Allstate Innovation helps drive Allstate’s future by identifying compelling business opportunities, developing selected opportunities into thriving businesses, and assisting Allstate businesses with meeting their innovation goals. We bring together skills in strategy, design, technology, and data science to create new products and businesses, focusing on emerging technologies, fast-growing startup market spaces, and highly impactful consumer problems.  Examples of Allstate’s innovation successes in recent years include:
Exploration of AI risk assessment technologies that resulted in a new B2B big data venture, Arity – a startup with the backing of a Fortune 100 company
Exploration of emerging device (e.g. smart phone) protection space that resulted in $1.4B acquisition of SquareTrade Inc.
Exploration of digital protection space that resulted in $525M acquisition of identity protection company InfoArmor Inc.
Exploration of peer-to-peer space that resulted in a new P2P car sharing venture, Avail – a startup with the backing of a Fortune 100 company
Exploration of the future of consumer data and analytics that resulted in a series A investment in a leading Web3 startup, Inrupt, followed by joint development efforts
Job Summary (cont.)
Innovation projects typically feature cross-functional teams with expertise in Business Strategy, Product, Technology, and Design.  We work in a variety of different spaces, industries, and emerging technology areas.  Example areas of exploration include: AI/ML (incl. generative AI), future of automotive (EVs, autonomous vehicles), climate risks, and Web3 (de-centralized consumer data). 
This role will join an Innovation team that is developing algorithms and models for a new generation of insurance products.  As a Senior Data Scientist, you will work on models from pricing to underwriting, utilizing geospatial, actuarial, statistical, and machine learning methodologies. You will collaborate closely with multiple organizations across Allstate Enterprise to support key business goals.
Remote work opportunities are available.  Sponsorship for CAS and CSPA exams is available for any candidates with an actuarial background.
Key Responsibilities:
Identify, understand and solve product/pricing problems by performing analysis that involves retrieving and analyzing both internal and external data.
Assist with analysis and implementation of changes to existing geospatial-based insurance products as well as the development of new class of personal risk products.
Perform collaborative product reviews that require analysis of trends, factors, issues, and emerging products/companies/technologies
Ability to drive for results, share and communicate findings, deal with ambiguity, wrangle data, solve problems, and draw conclusions in a less-structured innovation environment.
Ability to derive insights from small and large data sets, while communicating the limitations of the analysis.
Key Responsibilities (cont.)
Use best practices in statistical/modeling techniques to develop and maintain rating, economic, and other models as necessary and in consideration of business goals.
Provide tools, educate and support cross functional teams in the implementation of models and other decision-making support. 
Support the development/ design of new plans, programs, processes, products up to moderate complexity, with minimal direction
Assist in the development of communication strategies and materials to support new plans, programs, processes, products; solicit input from stakeholders.
Relevant Experience
Bachelor’s degree required – preferably in related field of study such as actuarial science, math/applied math, statistics/applied statistics, economics, environmental science, or computer science.
Past experience with geospatial, satellite, weather, and other non-traditional to insurance datasets. 
Understands economics of insurance; several years of experience with personal lines ratemaking and rating plans. 
Working knowledge of insurance regulation and related business constraints. 
Experience in using statistical and machine learning modeling techniques such as linear regression, logistic regression, GLM, GAM, GBM, etc.
Experience in the use of data sources and applications to conduct research. 
Master’s or PhD in a quantitative field — math/applied math, statistics/applied statistics, economics, environmental science, or computer science.
Relevant Experience (cont.)
Strong technical knowledge, aptitude to learn, and curiosity.
Strong programming experience with Python preferred – R, SAS, Matlab or other scientific programming languages can be discussed
Working knowledge of using databases and SQL, Spark is a plus
Strong written and verbal communication skills including the ability to effectively collaborate with multi-disciplinary groups and all organizational levels. 
High level organizational, decision making, and project management skills in order to handle multiple concurrent assignments.
Notes:
The preceding description is not designed to be a complete list of all duties and responsibilities. May be required to perform other related duties as assigned. Regular, predictable attendance is an essential function of this job.
Compensation offered for this role is $102,300.00-$140,025.00 per year and is based on experience and qualifications.
The candidate(s) offered this position will be required to submit to a background investigation, which includes a drug screen.
Good Work. Good Life. Good Hands®.
As a Fortune 100 company and industry leader, we provide a competitive salary – but that’s just the beginning. Our Total Rewards package also offers benefits like tuition assistance, medical and dental insurance, as well as a robust pension and 401(k). Plus, you’ll have access to a wide variety of programs to help you balance your work and personal life — including a generous paid time off policy. For a full description of Allstate’s benefits, visit allstate.jobs/benefits/
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Allstate generally does not sponsor individuals for employment-based visas for this position.
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