Data Science & Technology Integration - Engineer

Data Science & Technology Integration - Engineer

This job is no longer open

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:

This position is on the Modeling & Major Initiatives team within Pricing Analytics & Actuarial Services, and is responsible for delivering technical expertise, education, and solutions at the intersection of actuarial, data science, and technology in support of the teams developing Allstate’s insurance pricing solutions. This includes a strong foundation in contemporary actuarial and data science techniques, and an in-depth knowledge of current and emerging technologies supporting analytics, to discover innovative ways to drive efficiency, automation, and accessible advanced capabilities for predictive modeling, data engineering, and actuarial pricing teams. The role works closely with leadership and analysts on actuarial, data science, and technology platform teams to develop, execute, and support innovative solutions to bridge the gap between technology and analytics.

Key Responsibilities:

  • Develops, stays up to date with, and continuously seeks to improve a deep understanding of the following in the context of possible applications in the system of pricing workflows:
    • Analytical techniques (predictive algorithms, actuarial methodologies, geospatial, machine learning, optimization)
    • Analytical software/programming languages (R, Python, Spark, SQL, H2O, XGBoost, Shiny, other emerging software)
    • Technology infrastructure (linux, k8s, docker, computing techniques, CICD)
  • Establishes and implements best practices, processes, documentation, and education for efficient onboarding, application, and automation of analytical technologies in pricing teams
  • Delivers customized technical support and develops tailored tools/solutions to address unique needs of pricing users
  • Engages with and actively supports actuarial and data science teams, leveraging subject matter expertise to advocate for their needs in collaboration with technology teams on platform solutions and future capabilities
  • Works closely with technology teams to enhance platform capabilities, drive efficiencies, and resolve issues through effective communication and collaboration
  • Foresees and addresses potential risks in future platform changes, using systems thinking to develop and execute mitigation strategies, ensuring seamless pricing operations and analytics
  • Ensures compliance with professional standards, regulatory requirements, and company policies related to the use of technology in pricing
  • Leads the pricing department through technology transitions by managing a team of analysts responsible for supporting analytical technology use, developing customized solutions and education, enhancing user efficiency and capabilities, and adapting to evolving technological landscapes
  • Fosters a culture of curiosity, innovation, knowledge sharing, continuous improvement, and servant leadership within team and across the department 

Supervisory Responsibilities:

  • This job does not immediately have supervisory responsibilities but will in the future

Preferred Qualifications:

Education and Experience

  • Bachelor’s degree in a related field of study such as math/applied math, statistics/applied statistics, computer science/network engineering. Master’s degree is preferred. 
  • 5+ years of related experience within the fields of data science/analytics and technology

Certificates, Licenses, Registrations

  • None 

Functional Skills

  • Technical proficiency in data science and/or data engineering tools: R, Python, SQL, Spark, Bash 
  • Background in or capability to develop an understanding of technology infrastructure (compute frameworks, servers and networking, virtualization) 
  • Problem-solving and analytical skills, with a systems thinking approach to identifying opportunities for optimizing workflows and improving efficiency through technology integration, while considering the interdependencies and potential impact on the broader organizational ecosystem 
  • Advanced project management skills to independently handle concurrent high complexity projects, sometimes across multiple-year time horizons 
  • Advanced communication skills, including the ability to effectively communicate and translate across varied disciplines and organizational levels, with a focus on conveying complex technical topics in an understandable manner 
  • Adaptable mindset with the ability to navigate and excel in both tactical and strategic situations, considering existing constraints while pushing boundaries to achieve innovative and forward-thinking solutions for the organization 
  • Strong leadership skills with the ability to mentor, motivate, and develop a team of analysts, fostering a culture of collaboration, innovation, and continuous improvement 
     

Compensation offered for this role is $113,400.00-$156,150.00 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/

Learn more about life at Allstate. Connect with us on Twitter, Facebook, Instagram and LinkedIn or watch a video.

Allstate generally does not sponsor individuals for employment-based visas for this position.

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Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.

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To view the “EEO is the Law” poster click “here”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs

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It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee’s terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.

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