• Ensure client information is uploaded in the correct format • Track progress on excel • Update client information

Role Description We are looking for a dedicated Data Entry Specialist to join our growing team at Spotter. This individual will play a key role in managing and maintaining the integrity of data within our systems. As a Data Entry Specialist, you will be responsible for accurately inputting, organizing, and updating various types of data in our databases, spreadsheets, and other internal tools. You will work closely with our teams across departments, ensuring that data is consistent, reliable, and ready for analysis, helping us to deliver high-quality results for our clients. This role requires a strong attention to detail, the ability to manage large datasets, and a commitment to accuracy. As part of the Spotter team, you will be integral to maintaining smooth data operations and supporting our AI-powered solutions. Key Responsibilities - Data Entry and Management: Enter and update large volumes of data into various internal systems, ensuring that all data is accurate, complete, and well-organized. - Data Validation and Quality Assurance: Regularly review and verify data for completeness and accuracy. Correct errors or inconsistencies in datasets. - Data Organization: Organize and classify data into relevant categories, making sure it is easy to access and retrieve for analysis. - Collaboration with Teams: Work closely with various departments to ensure that data is accurately entered and integrated across multiple systems. - Data Reporting Support: Assist in the creation and preparation of reports, documents, and presentations based on data collected from various sources. - Routine Data Audits: Conduct regular data audits to ensure data integrity is maintained. - Automation and Efficiency Improvements: Collaborate with the technical team to identify areas where data entry processes can be streamlined or automated. - Maintaining Confidentiality and Security: Handle all data with the utmost confidentiality, ensuring that sensitive information is protected. - Continuous Learning: Stay updated on the latest tools, techniques, and technologies used in data management and data entry. - Timely and Accurate Work: Adhere to deadlines and maintain high productivity levels. Qualifications - Strong attention to detail. - Ability to manage large datasets. - Commitment to accuracy. Requirements - Experience with data entry and management. - Familiarity with data validation and quality assurance processes. - Proficiency in using spreadsheets and internal tools. Benefits - Opportunities for training and development. - Supportive team environment. - Access to AI-powered tools for efficiency improvements.

Description At Liberty Mutual, the Insights & Solutions group uses data, analytics, and technology to deliver innovative solutions that drive our US Retail Markets business forward. Within it, the Claims Data Science team focuses on developing sophisticated AI/ML driven solutions to help create the most accurate, caring, and efficient claims organization in the insurance industry. Claims Data Science is bursting with opportunity. Recent advances in Large Language Models, Computer Vision, and other technologies bring many previously impracticable business challenges into the realm of possibility for data scientists. Claims Data Science can be a key competitive advantage for Liberty Mutual in the years to come; help us build that competitive advantage! **Candidates who live within 50 miles of Boston, MA; Portsmouth, NH; Seattle, WA; Columbus, OH; or Plano, TX will follow a hybrid schedule, coming into the office two days per week. Otherwise, this role is remote with occasional travel. ** As an Assistant Director you will: • Apply knowledge of sophisticated analytics techniques to manipulate large structured and unstructured data sets to generate insights to inform business decisions. • Lead end-to-end development of new predictive models for high-impact business outcomes (e.g., improving claims handling efficiency): frame and test hypotheses, design statistically rigorous experiments, assemble/label training data, engineer features, and train/validate models. • Build state-of-the-art ML systems that leverage structured data, unstructured text, and generative AI. • Select and implement appropriate algorithms and evaluation methods to deliver measurable accuracy and business value. • Follow ML Ops best practices to create organized code repos, production-quality code, and reproducible results. • Stay up-to-date with the latest advancements in data science and machine learning, and apply them to solving complex problems in the insurance claims domain. • Provide technical mentorship and guidance to junior data scientists. • Responsible for larger components of projects of moderate to high complexity. • 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. Preferred skills and experience: • Broad conceptual understanding and practical knowledge of the end-to-end data science lifecycle. • Exceptional hands-on data science technical skills (e.g. SQL, Python, and Statistical Inference). • Experience collaborating with non-technical stakeholders to understand which problems need solving, design solutions, and bring them to market. • Experience working with complex Type II data to assemble training datasets to appropriately model operational processes. • 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). Additional skills and experiences that are nice to have: • Knowledge of claims handling processes and experience working with claims data. • Experience developing LLM-based solutions for production use cases. • Practical experience with cloud platforms like AWS (preferably), Google Cloud, or Azure. • Familiarity with data pipeline and workflow management tools like Airflow, among others. Qualifications - 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. 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. At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve. 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://www.libertymutualgroup.com/about-lm/careers/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. Fair Chance Notices - California - Los Angeles Incorporated - Los Angeles Unincorporated - Philadelphia - San Francisco $120,000.00 - 225,000.00

Description The Global Risk Solutions (GRS)Data Science Solutions team is the one-stop-shop for all things data science in the commercial and specialty space. This posting is for an Assistant Director, Data or Analyst II, Data Science position on the Model Automation & Product team. The Model Automation & Product team in GRS Data Science Solutions focuses on supporting a wide variety model spanning from submission, underwriting, and claims. Various techniques are used in our supported models including GLMs, ML, and GenAI. Our mission is to support the models in our purview and to perform updates to models that become stale. This position may be filled as an Analyst II, Data Science or Assistant Director, Data Science based on experience. Analyst II, Data Science $106,000-$197,000 Assistant Director, Data Science $120,000-$225,000 Flexible Time off- 20 days Responsibilities: • Lead modeling efforts including oversight of junior staff • Responsible for larger components of projects of moderate to high complexity • Explore technical solutions to support model deployment • Performing ad hoc analyses in support of products • Partner across functions as needed to coordinate delivery plans, testing, training and support • Lead problem resolution as needed to ensure that internal and external customers receive prompt, efficient service. - Ideal candidate will have 3-5 years of Python experience Qualifications - 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. 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. At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve. 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://www.libertymutualgroup.com/about-lm/careers/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. Fair Chance Notices - California - Los Angeles Incorporated - Los Angeles Unincorporated - Philadelphia - San Francisco $120,000.00 - 225,000.00