Data Scientist - GD08AE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future. This role will be part of a multidisciplinary actuarial/data science team designing and delivering powerful, analytical tools utilizing statistical modeling, machine learning, and advanced data engineering techniques to enhance and overhaul core actuarial processes. Our team is a cross-functional team of data scientists, engineers, and actuaries working in a collaborative environment which involves heavy interaction with partner-customers across actuarial, product, and data science. For this role, we are seeking a Data Scientist or an Actuary skilled in data science techniques to assist in the building, monitoring, maintenance, enhancement, and communication of loss models and analytical tools across both personal and commercial lines of business. We seek candidates with a strong foundation in statistical modeling and/or machine learning, who have a drive for finding novel and efficient solutions to maximize business value. Our team culture prioritizes flexibility and innovation, so an aptitude and desire to research state-of-the-industry solutions is a must, along with an aptitude to learn new tools and languages as necessary. This role will involve communicating model results to varying business partners so strong communication and presentation skills are required. This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our office locations will have the expectation of working in an office 3 days a week (Tuesday through Thursday) Candidates who do not live near an office will have a remote work arrangement, with the expectation of coming into an office as business needs arise. Must be able to work in the US without company sponsorship Responsibilities: <ul><li>Use predictive modeling and data science techniques to enhance traditional actuarial processes and assumptions</li><li>Think creatively to develop new solutions to actuarial problems and envision how we can enhance long-standing methodology using newer data science techniques</li><li>Use R and/or Python to build, maintain, and support loss models across different lines of business</li><li>Work with business partners to effectively communicate model results and implement findings to impact the business</li><li>Develop deep knowledge of The Hartford's formal and informal structures, business processes, and data sources</li><li>Develop improved methods of detecting and communicating changes in model performance</li><li>Remain current on research techniques and become familiar with state-of-the-art tools applicable to your function</li><li>Identify opportunities to reuse strategic components and create synergies across modeling teams</li></ul> Background: <ul><li>3+ years of experience in the P&C insurance industry OR 1+ years of modeling experience in relevant field</li><li>Preference for at least one of:<ul><li>Master's in Statistics, Applied Mathematics, Data Science, Computer Science, Actuarial Science, or a similar analytical field</li><li>Progress towards relevant professional credentials (e.g. FCAS, FSA, CSPA)</li></ul></li><li>Programming experience in R and/or Python required</li><li>Application programming experience in Shiny and R Markdown is highly desired</li><li>Additional SQL, Spark, Hadoop, Java, or web programming experience is a plus</li><li>Attends to detail and manages multiple priorities in a fast-paced environment</li><li>High level of independence, but is also a team player that demonstrates a high level of ownership</li><li>Results driven with commitment to meeting deadlines</li><li>Note: Position can provide actuarial exam support</li></ul> Compensation The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is: $87,120 - $130,680 Equal Opportunity Employer/Females/Minorities/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age About Us | Culture & Employee Insights | Diversity, Equity and Inclusion | Benefits

Sr Data Scientist - GD07AE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future. Senior Data Scientist You are... ... a motivated problem solver ready to pursue meaningful work. You strive to make an impact every day not only at work, but at home and in the community too. Congratulations: You've landed in the right place! Overview of the Position The Incubation Lab is dedicated to data-driven innovation within Commercial Lines Data Science at The Hartford. The lab focuses on value-multiplying our insurance portfolio by evaluating new, cutting-edge technologies, datasets, and insuretech vendors; prototyping predictive models; and supporting The Hartford's data science teams and their business partners in leveraging data to drive process and product improvements. The Hartford's Incubation Lab seeks an energetic and passionate Senior Data Scientist to drive the design, development, and implementation of solutions modernizing and transforming our operations and business. This position requires knowledge and experience of statistical or probabilistic modeling, data transformation and visualization, and will offer career-accelerating opportunities to refine skills and domain expertise in both the business and the craft of data science. In this role, you will be part of a team working in a fast-paced, open-ended environment with cutting edge technologies in deep learning and generative AI. You'll help define and influence how our firm's data scientists and business teams leverage data and machine learning to improve our processes and products. Success will depend on your ability to break down and solve the problems of business stakeholders and other data science teams, quickly delivering valuable prototypes and recommendations. Sustaining The Hartford's unique workplace culture is vital to delivering on our purpose - underwriting human achievement - and continuously producing outstanding results. Our enterprise work model, which reflects a mix of in-office, hybrid and fully remote roles, helps us attract, retain and develop the talent we need to achieve the company's strategic goals. This role will have a Hybrid work arrangement Responsibilities •Assess the value of new data sources and analytical techniques to ensure ongoing competitive advantage •Design and conduct cost-benefit analysis and estimate value-add of data-driven solutions, including third party data sources, vended data science tools, new analytic and machine learning techniques, cutting edge generative AI, and more •Remain current on data science and machine learning techniques and state-of-the-art tools and data sources •Engage with technical and business stakeholders to define and design solution concepts •Support the design and lead implementation of components of complex technological proofs of concept What's in it for you? •Deepen your skills as part of a supportive, constructive environment: o Hone your understanding of data analysis, emerging technologies, and development practices o Exercise your communication, analytical, interpersonal, and organizational capabilities o Support and lead rapid software development and deployment using a mix of technologies o Enhance your entrepreneurial mindset working to solve problems for teams across the enterprise o Sharpen your skills with hands-on experience testing and proving out applications of the latest technologies across computer vision, deep learning, and generative AI •Accelerate your career: o Collaborate in a high-performing, fast-paced team, participating in and fostering a culture of constructive feedback o Define, iterate, and deliver in a focused, high-visibility environment to stakeholders including teams and leaders across the enterprise o Demonstrate your skills by driving forward high value projects, independently solving problems that arise in the course of work Qualifications: •3-5 years of hands-on experience as a data scientist •Bachelor's or advanced degree in a quantitative field such as (but not limited to): computer science, quantitative economics, data analytics, mathematics, or physics. Additional experience can be substituted for formal education. •Experience learning other teams' business practices and brainstorming ways to create value for them •Understanding of current and emerging IT products, services, processes, and methodologies. •Experience with disciplines such as: predictive modeling techniques (ex: random forests), scripting languages (ex: python), coding best practices (ex: version control), SQL (ex: Oracle, PL/SQL), and big data environments (ex: AWS, GCP, Azure, Hadoop) •Demonstrated analytical approach with an ability to uncover and resolve problems by delivering innovative approaches and solutions •Self-motivated and results-oriented, with a strong sense of ownership and accountability, and ability to manage time and schedules effectively •Natural curiosity with a strong desire to learn, maintain, and apply knowledge of emerging data technologies •Basic understanding of software development lifecycle (Agile) and deployment (CI/CD) •Strong written, verbal communication, and presentation skills with ability to effectively communicate with nontechnical partners Desired Qualifications: •Demonstrated experience with SQL and the python data science stack •Track record of delivering analytical projects covering all stages of data utilization, from collection through transformation to analysis and evaluation of implications •Passion for learning new skills •Ability to respond to adjustment of priorities based on changing demands/needs •Experience participating in production and rapid delivery of minimally viable products with a "fail-fast" approach •Strong practical experience using quantitative approaches, demonstrating knowledge of their benefits and limitations •Knowledge of property & casualty insurance business Compensation The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is: $106,960 - $160,440 Equal Opportunity Employer/Females/Minorities/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age About Us | Culture & Employee Insights | Diversity, Equity and Inclusion | Benefits

Assoc Data Scientist - GD08BE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future. The Hartford seeks an Associate Data Scientist within the telematics analytics team. As an Associate Data Scientist, you will participate in the entire model lifecycle partnering with cross-functional business and technical partners to understand business strategies for the telematics program; and design, develop, implement, and evolve modeling solutions. We use the latest technologies, machine learning methods, MLOps, and Agile delivery frameworks to build innovative and efficient solutions that maximize business value. This cutting edge and forward focused organization presents the opportunity for collaboration, self-organization within the team, influencing decision-making, and visibility as we focus on continuous business data delivery. This role will have a Hybrid work arrangement, with the expectation of working in an office location 3 days a week (Tuesday through Thursday). Office Locations: Charlotte NC; Hartford, CT; Chicago, IL; Columbus, OH; San Antonio, TX; Lake Mary, FL Must be eligible to work in the US without company sponsorship Responsibilities: <ul><li>Assist in creating statistical models, algorithms, and machine learning techniques to achieve financial objectives and solve business problems for the telematics program</li><li>Participate in reviewing work with business partners and team members on an ongoing basis to calibrate deliverables against expectations</li><li>Assist in identifying and assessing the value of new data sources and analytical techniques to ensure ongoing competitive advantage in telematics</li><li>Participate in the creation and deployment of long-term tools to continually evolve the telematics program.</li><li>Contribute to the successful implementation of strategies to achieve targeted business objectives</li><li>Develop knowledge of The Hartford's formal and informal structures, business processes, and data sources in your area of expertise</li><li>Remain current on research techniques and become familiar with state-of-the-art tools applicable to your function</li><li>Provide economic, qualitative, and statistical support to ensure accuracy of characteristics and metrics being applied to business decisions</li></ul> Qualifications: <ul><li>Preference for Master's or Ph.D. in Statistics, Applied Mathematics, Quantitative Economics, Actuarial Science, Data Science, Computer Science, or a similar analytical field, or progress towards a relevant professional designation </li><li>Exposure to statistical modeling, inference, and building machine learning algorithms in Python </li><li>Exposure to SQL and navigating databases to extract relevant attributes </li><li>Exposure to Unix and Git a plus</li><li>Exposure to the end-to-end modeling lifecycle, from requirements gathering to monitoring and validation</li><li>Exposure to building modeling solutions in cloud-native environments, such as Sagemaker, a plus</li><li>Able to communicate effectively with both technical and non-technical teams </li><li>Able to translate complex technical topics into business solutions and strategies </li></ul> Compensation The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is: $78,320 - $117,480 Equal Opportunity Employer/Females/Minorities/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age About Us | Culture & Employee Insights | Diversity, Equity and Inclusion | Benefits

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Data Scientist The Hartford Jobs

Data Scientistactuarial Modeler RemoteMay 5, 2024

Senior Data ScientistMay 1, 2024

Senior Data ScientistApril 26, 2024

Senior Data ScientistApril 21, 2024

Senior Data ScientistApril 19, 2024

Associate Data Scientist HybridApril 17, 2024

Senior Data ScientistApril 15, 2024

Associate Data Scientist HybridApril 15, 2024