We’re committed to putting people first – if you need an accommodation as you go through the job searching, application, and interviewing process, please click here for more information.
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Establish frameworks outlining decision-making processes to drive the identification and evaluation of tactical pricing opportunities. Support the implementation of tactical pricing changes, ensuring robust consultation and collaboration across the org regarding state-specific opportunities. Engage with stakeholders to discuss state-specific opportunities and triage actions. Generate data-driven answers to open-ended strategic questions related to tactical pricing opportunities and present out on recommendations to leadership. Regularly engage with the data science community and lead cross functional working groups. Actuarial experience conducting analysis on insurance data, such as premium on-leveling, loss trending, loss ratio analysis, etc. is preferred. Using SQL for wrangling structured data & curating analysis-ready data. Using Python for analyzing data, creating data visualizations, & conducting statistical analysis/modeling. Creating, testing, and deploying machine learning models, including GBMs, and experience using various tools to explain them. Broad knowledge of predictive analytic techniques and statistical diagnostics of models. Expert knowledge of predictive toolset; reflects as expert resource for tool development. Demonstrated ability to exchange ideas and convey complex information clearly and concisely. Networks with key contacts outside own area of expertise. Ability to establish and build relationships within the aligned functional area or SBU. Ability to give effective training and presentations to peers, management and less senior business leaders. Ability to use results of analysis to persuade team or department management to a particular course of action. Has a value driven perspective with regard to understanding of work context and impact. Competencies typically acquired through a Ph.D. degree (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) and a minimum of 2 years of relevant experience, a Master`s degree (scientific field of study) and a minimum of 4 years of relevant experience or may be acquired through a Bachelor`s degree(scientific field of study) and a minimum of 5+ years of relevant experience.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618506212326", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618505933914, "name": "Data Scientist", "location": "Seattle, Washington, United States", "locations": ["Seattle, Washington, United States", "Remote, Remote, United States", "Boston, Massachusetts, United States"], "hot": 0, "department": "Data Science", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1759520160, "t_create": 1754522940, "ats_job_id": "71639", "display_job_id": "2025-71639", "type": "ATS", "id_locale": "2025-71639-en", "job_description": "Data Office Claims & Service, Insights & Solutions Data Science The US Retail Markets Data Science team brings together a diverse range of talent to predict future risk and what our customers will need to recover. Our data engineers write code that turns trillions of bits of information into structured data--data that our hundred-plus Data Scientists analyze with cutting-edge modeling techniques to unlock insights. From there, our tools and deployment teams ensure this data can be practically applied to business problems across US Retail Markets. Join us and be a part of this dynamic group driving industry-leading data segmentation, fueling the team's success now and into the future. This role may have in-office requirements depending on candidate location Kickstart your data science career by working on real insurance challenges like pricing, fraud, customer experience, marketing, and claims. If you're eager to learn, experiment, and make a real impact with data, this program is for you. Data extraction and manipulation skills, EDA, transformations, and general linear models (GLM); preferred skills of basic CART and GLM. Foundational knowledge of predictive analytics tools. Demonstrated ability to exchange ideas and convey complex information clearly and concisely. Has a value driven perspective with regard to understanding of work context and impact. Competencies typically acquired through a Master`s degree (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) and no professional experience or may be acquired through a Bachelor`s degree and 3+ years of relevant experience. Participate in a six-month, hands-on program designed to accelerate your data science career with Liberty's cloud-native platforms and MLOps best practices. Build your understanding of business and insurance fundamentals through structured training, then join a project team aligned to your interests to tackle business challenges. Develop your skills by working with large datasets, building and validating predictive models, and turning prototypes into production-ready solutions. Translate quantitative findings into clear, actionable recommendations for technical and non-technical stakeholders. Grow your network and skills by teaming up with mentors and peers, joining community groups, and participating in lunch-and-learns, hackathons, and data science events. Transition into a permanent role on a US Data Science team that matches your interests and skills at the end of the program. 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Our passion for placing the customer at the center of everything we do is driving a transformational shift at Liberty Mutual. Operating as a tech startup within a Fortune 100 company, we are leading a digital disruption that will redefine how people experience insurance. At Liberty, you'll thrive in a hybrid setting that fosters in-person collaboration, innovation and growth. This approach optimizes both remote and in-person interactions, enabling you to connect and ideate with your team and deepen valuable relationships across the company, while still enjoying the flexibility of remote work for focused tasks and projects. This role has a hybrid work schedule (2 days onsite) and we are considering candidates based in Portsmouth, NH and Boston, MA. Job Introduction: We are looking for a dynamic Manager, Engineering - Data candidate in the Global Finance Technology (GFT) organization who combines strong technical capabilities with exceptional leadership skills. You will lead teams responsible for the development and maintenance of our Finance data products. Your role will involve driving technical solutions that enhance GFT Data integration, ensuring the scalability and reliability of our data platforms, and collaborating with cross-functional teams to support strategic objectives. About the job: Responsible for hiring, managing, and deploying resources across team(s) to enable optimal alignment of staff to business priorities. Coordinates with vendors to ensure talent management, on-boarding and transition are performed in a consistent manner. Understands the business domain and product vision; in partnership with other team members (Scrum Master, Architect, Product Owner, etc.) aligns work of the team toward the shared goals for the product. In partnership with Product Owner, identifies key performance indicators to measure success of work product. Coaches and evaluates performance and quality of work delivered by team members. Creates motivating work environment for team(s) and ensures team is constantly learning and delivering quality code. Monitors team effectiveness and addresses issues affecting team productivity. Understands tools, architecture, security and scalability needs for assigned team(s); provides technical engineering guidance especially with less experienced team members. Removes roadblocks and obstacles; manages interdependencies when needed. Initiates and fosters collaborative partnerships with current and potential clients, technology and business managers, vendors and technology executives; develops relationships that support increasing efficiency and effectiveness. Coordinates and delivers performance reviews in a timely manner and drives professional development, including rotations and special assignments. Participates in the development of business and/or technology vision, strategies, critical success factors and operating plans for application, unit or platform. Manages total cost of ownership, advocates for the removal of technical debt, assists and supports team effectiveness. May establish financial plan for the application, portfolio or overall unit and manages to plan. Drive modernization efforts aligned with GFT's strategic technology vision and north star architecture. Production support and continuous optimization of our existing financial processes in support of meeting established KPI targets, including critical month-end financial close activities. Champions and effectively utilizes agile methodology and practices. Embodies a growth mindset and creative, strategic thinking. Ensures teams are constantly learning and delivering quality within engineering excellence guardrails (ex. High Performance Engineering). Qualifications Bachelor`s or Master`s Degree in technical or business discipline and a minimum of five years' experience in a practice relevant domain including delivering software solutions in an agile environment. Minimum of 5+ years' experience in a practice relevant domain including delivering data solutions in an agile environment. Minimum 3+ years in a leadership role preferred. Knowledge of cloud technologies (AWS, Snowflake) required, experience with cloud development preferred. Experience with Financial systems and processes strongly preferred. Able to manage complex technology development concepts, capabilities and maturity. Requires excellent analytical ability, consultative communication, presentation and management skills, strong judgment and ability to effectively liaise with cross functional stakeholders and optimize teams. Demonstrated ability to operate collaboratively and build consensus. In-depth knowledge of technology standards and guidelines; knowledge of management concepts, practices and techniques; thorough knowledge of business functions and operations, objectives and strategies. About Us Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role. As a purpose-driven organization, Liberty Mutual is committed to fostering an environment where employees from all backgrounds can build long and meaningful careers. Through strong relationships, comprehensive benefits and continuous learning opportunities, we seek to create an environment where employees can succeed, both professionally and personally. At Liberty Mutual, we believe progress happens when people feel secure. By providing protection for the unexpected and delivering it with care, we help people embrace today and confidently pursue tomorrow. We are dedicated to fostering an inclusive environment where employees from all backgrounds can build long and meaningful careers. By actively seeking employee feedback and amplifying the voices of our seven Employee Resource Groups (ERGs), which are open to all, we create an environment where every individual can make a meaningful impact so we continue to meet the evolving needs of our customers. We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://LMI.co/Benefits Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law. 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Designs proof-of-concept solutions utilizing an advanced understanding of multiple coding languages to meet technical and business requirements, with an ability to perform iterative solution testing to ensure specifications are met. Acts as a technical leader and mentor to the team. Designs and develops data solutions that enables effective self-service data consumption, and can describe their value to the customer. Collaborates with stakeholders in defining metrics that are impactful to the business. Prioritize efforts based on customer value. Has an in-depth understanding of Agile techniques. Working with IT, assists in building robust systems focusing on long-term and ongoing maintenance and support. Ensures data solutions include deliverables required to achieve high quality data. Works with IT to help scale prototypes. Deep understanding and experience with Agile practice, metrics and methods as well as advanced analytics and Business Intelligence knowledge (preferably in PowerBI), including visualization and user experience technologies Able to set expectations for deliverables of high complexity Strong understanding of complex multi-tier, multi-platform systems, and applies principles of metadata, lineage, business definitions, compliance, and data security to project work Able to Influence strategic thinking across the team and the broader organization. Strong written and oral communication skills required Experience prioritizing efforts based on customer value Bachelor`s Degree in Computer Science, Computer Engineering, or related discipline preferred Master`s in same or related disciplines strongly preferred 5-7+ years experience in coding for data management, data warehousing, or other data environments, including, but not limited to, working in NoSQL implementation, ETL, Java, scripting languages (Python, Perl, Shell), and the Hadoop stack 5-7+ years experience as developer with top quadrant Business Intelligence tools", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618506068833", "isPrivate": false, "latlongs": "43.0717552,-70.7625532"}, {"id": 618513596284, "name": "Director, Data Science", "location": "Remote, Remote, United States", "locations": ["Remote, Remote, United States"], "hot": 0, "department": "Data Science", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1759415340, "t_create": 1759163040, "ats_job_id": "72450", "display_job_id": "2025-72450", "type": "ATS", "id_locale": "2025-72450-en", "job_description": null, "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618513596284", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618513329851, "name": "Assistant Director, Data Science, Modeling Sophistication", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Remote, Remote, United States", "Columbus, Ohio, United States", "Seattle, Washington, United States"], "hot": 0, "department": "Data Science", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1758828840, "t_create": 1758136560, "ats_job_id": "72303", "display_job_id": "2025-72303", "type": "ATS", "id_locale": "2025-72303-en", "job_description": "Design, train, and deploy computer vision and deep learning models, from research and experimentation through production implementation. Collaborate with business stakeholders to deliver data products such as feature pipelines, predictive models, dashboards, and datasets derived from image data. Develop and maintain scalable data pipelines and model workflows, applying MLOps best practices for reproducibility, deployment, and monitoring. Research and prototype new methodologies for training, evaluating, and improving deep learning models, particularly for computer vision. Integrate model outputs into business applications and partner with engineering teams to operationalize models in production environments. Contribute to the design, construction, and validation of large and complex datasets in collaboration with cross-functional science teams. Communicate findings through technical presentations, reports, and recommendations to both technical and non-technical stakeholders. Participate in cross-functional working groups and contribute to the broader data science community to promote best practices. Demonstrated expertise in deep learning with an emphasis on computer vision. Strong foundation in machine learning, statistics, experimental design, and model evaluation metrics. Proficiency in Python and MLOps practices, with experience in version control (Git), code review, collaborative development workflows (e.g., GitHub/GitLab), and model versioning/experiment tracking (e.g., MLflow). Proficiency in deep learning frameworks such as PyTorch (preferred) or TensorFlow, with experience in model design, training, and deployment. Experience building and managing pipelines with workflow orchestration tools (e.g., Airflow, Luigi). Experience with Docker and CI/CD pipelines. Experience with container orchestration systems such as Kubernetes. Understanding of GPU acceleration, distributed training, and model optimization techniques (e.g., mixed precision, pruning, quantization). Experience with multimodal learning, including vision-language models and cross-modal representation learning. Track record of advancing research projects from ideation to implementation. Broad knowledge of predictive analytic techniques and statistical diagnostics of models. Expert knowledge of predictive toolset; reflects as expert resource for tool development. Demonstrated ability to exchange ideas and convey complex information clearly and concisely. Networks with key contacts outside own area of expertise. Ability to establish and build relationships within the aligned functional area or SBU. Ability to give effective training and presentations to peers, management and less senior business leaders. Ability to use results of analysis to persuade team or department management to a particular course of action. Has a value driven perspective with regard to understanding of work context and impact. 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Research, design, and build GenAI-powered feature pipelines, including text, vision, audio, and multimodal integrations. Serve as a subject matter expert for GenAI solutioning in insurance use cases (pricing, claims, underwriting, product innovation). Prior Insurance knowledge / experience is not required. Manage (or help manage for Asst Dir role) the end-to-end lifecycle of generative models and features, including training, fine-tuning, deployment, monitoring, and CI/CD pipelines. Research and apply retrieval-augmented generation (RAG) techniques, including developing pipelines, optimizing retrieval strategies, and evaluating RAG system performance. Drive MLOps best practices for scalable deployment of LLMs and other generative models in production environments. Mentor peers and junior scientists/engineers through technical guidance and code-level contributions, without direct line management. Collaborate with vendors and internal partners to evaluate and integrate external GenAI tools, foundation models, and datasets. Partner with the broader research and data science community to advance state-of-the-art methodologies and foster cross-team knowledge sharing. Communicate findings and strategic recommendations to leadership, ensuring business and technical alignment. Broad knowledge of predictive analytic techniques and statistical diagnostics of models. Advanced knowledge of predictive toolset; reflects as expert resource for tool development. Demonstrated ability to exchange ideas and convey complex information clearly and concisely. Ability to establish and build relationships within and outside the organization. Ability to give effective training and presentations to management and other groups. Ability to use results of analysis to persuade team, department management or senior management to a particular course of action. 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Explore and experiment with emerging AI and Machine Learning technologies, including generative AI, NLP/NLU, computer vision, and trends in insuretech, fintech, and the sharing economy. Develop and iterate on prototypes using Python, thriving in a fast-paced R&D setting with a start-up mentality. Build custom algorithms, uncover data-driven insights, and share findings with the team and stakeholders. Continuously sharpen your skills by embracing new technologies and participating in hackathons, meetups, and other learning opportunities. Passionate about technology, innovation, and collaborative problem-solving. Curious and proactive in exploring new trends and tools in AI/ML. Excited to work in an environment where your ideas and contributions may shape real products. Eager to make an impact through hands-on prototyping, algorithm development, and data analysis. 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!important;-webkit-transition: background-color 300ms linear;-ms-transition: background-color 300ms linear;transition: background-color 300ms linear;} .fa-brands{-webkit-font-smoothing: antialiased; font-style: normal; font-variant: normal; line-height: 1; text-rendering: auto;font-family: 'Font Awesome 6 Brands'} .position-details li{list-style-type: disc;} .header-wrapper{display:none!important;}.disability p {text-align:center!important;background-color:#F0F0F0!important; height:45px!important;padding-top:12px!important;} .disability a {color:blue!important;text-decoration:underline!important;} @media only screen and (max-width: 1325px){.disability p {height:67px!important;}} @media only screen and (max-width: 675px){.disability p {height:92px!important;}} @media only screen and (max-width: 480px){.disability p {height:114px!important;}}h4{margin-top: 5px;font-weight: 600;}