Responsibilities Identify, develop and implementplex analytical solutions leveraging tools such as predictive modeling, advanced machine learning techniques, simulation, optimization solutions, etc.. Manage dataset creation including data extraction, derived and dependent variable creation, and data quality control processes for analytics, model development, and validation. May monitor execution of analytical solutions, including criteria specification, data sourcing, segmentation, analytics, selection, delivery, and back-end data capture results. Under direction of the Sr. Leader, collaborate with business leaders and / or analysts to provide analytical thought leadership and support for business problems. Identify and interpret business needs, define high-level business requirements, strategy, technical risks, and scope. Develop, document, andmunicate business-driven analytic solutions and capabilities, translating modeling and analytic output into understandable and actionable business knowledge. Embed analytic programs and tools. Ensure continued accuracy, relevancy, and effectiveness and track process improvements once deployed. Ensure adherence to data and modelernance standards that are set and enforced by industry standards and / or enterprise and business unit dataernance polices and leaders. Contribute to ongoing expansion of data science expertise and credentials by keeping up with industry best practices, developing new skills, and knowledge sharing. Work cross functionally to develop standardized / automated solutions and adopt best practices. Required Qualifications Masters Degree or Equivalent required 3-5 years relevant experience required Knowledge of advanced statistical concepts and techniques; skilled in linear algebra. Experience conducting hands-on analytics projects using advanced statistical methods such as generalized regression models, Bayesian methods, random forest, gradient boosting, neural networks, machine learning, clustering, or similar methodologies. Experience with statistical programming (Python, SQL etc.) & data visualization software in a data-rich environment. Proven ability to presentmunicateplex, technical materials in a way that facilitates decision making and drives oues; ability tomunicate to less technical partners. Proven ability to apply both strategic and analytic techniques to provide business solutions and rmendations. Ability to work effectively in a collaborative team environment. Additional expertise / areas of specialty may be required based on business line* Preferred Qualifications Ph.D preffered Preferred Degree Focus : Quantitative Discipline (i.e. Finance, Statistics,puter Science, Actuarial Science, Economics, Engineering, etc.) Experience with big data technologies which may include Cloudputing Environments (including container creation, management & deployment) etc.. Additional expertise / areas of specialty may be preferred based on business line* About Ourpany At Ameriprise Financial, we're not just in the business of helping clients with their financial goals - we also help our advisors and employees reach their true potential by embracing an inclusive and collaborative culture. We celebrate the unique qualities and reward the contributions of our talented, passionate employees. If you're motivated and want to work for a strong, ethicalpany that cares about you and yourmunity, take the next step with Ameriprise Financial. Ameriprise Financial is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, national origin, genetic information, age, sexual orientation, citizenship, gender identity, disability, veteran status, marital status, family status or any other basis prohibited by law. Job ID 29564BR

Additional Qualifications and Skills Bachelor's Degree in computer science, engineering, life or physical sciences or a related discipline preferred. Highly proficient in Python. Advanced degree may count toward experience. We are especially interested in candidates with : an advanced degree in science or engineering programming experience in languages (e.g., C, Java, MATLAB) in addition to Python experience with machine learning, deep learning, and convolutional neural networks work experience in biomedical research and / or an academic science environment demonstrated experience teaching or training in an informal setting. The successful candidate will be self-motivated, and creative, and enjoy working in a dynamic and intellectually stimulating environment. S / he will be skilled at translating research problems into well-defined technical specifications and then developing and supporting user-friendly software solutions; s / he will have excellent coding skills; interpersonal skills; and enthusiasm for collaborating closely with biologists. Demonstrated experience in software development from the industry a plus. Basic Qualifications Minimum of two years’ post-secondary education or relevant work experience Position Description Our group in the Department of Neurobiology at Harvard Medical School is looking for an innovative and enthusiastic software engineer to join a multidisciplinary research laboratory. This position is ideally suited to a strong programmer wishing to apply their skills to understanding biological neural networks. We are interested in how computations arise from the organization and connectivity of neuronal networks. To analyze neural circuit structure and function at highest resolution and completeness possible, we combine large-scale structural and functional imaging techniques including high-throughput electron and X-ray microscopy, and in vivo two-photon calcium imaging. We seek a software engineer with strong programming skills and coding experience. They should be capable of developing and deploying software for large data processing, handling, and analysis; user interfaces; and for driving custom hardware. Main projects include : Development of software for high-throughput imaging instrumentation; Development of software and machine learning pipelines for large-scale data processing and analysis; Development and support of large data processing, storage, and computing infrastructure; Success will require close working collaboration with biologists and the ability to independently develop scientific computing software solutions to address biological questions. Building and optimizing programming pipelines will play a vital role in helping us to better understand the brain. Typical duties of the Functional Connectomics Software Engineer include : Developing software to generate, process, and analyze large-scale image data; Big data wrangling; Scientific software support and documentation for biologists; Computational systems oversight and programming; Communicating with collaborators and service providers; Documenting projects and communicating project progress. We offer the opportunity to : Apply your coding skills toward understanding the brain in a vibrant academic environment; Do cutting edge science with a supportive and collaborative team;

Position Description Our group in the Department of Neurobiology at Harvard Medical School is looking for an innovative and enthusiastic software engineer to join a multidisciplinary research laboratory. This position is ideally suited to a strong programmer wishing to apply their skills to understanding biological neural networks. We are interested in how computations arise from the organization and connectivity of neuronal networks. To analyze neural circuit structure and function at highest resolution and completeness possible, we combine large-scale structural and functional imaging techniques including high-throughput electron and X-ray microscopy, and in vivo two-photon calcium imaging. We seek a software engineer with strong programming skills and coding experience. They should be capable of developing and deploying software for large data processing, handling, and analysis; user interfaces; and for driving custom hardware. Main projects include : Development of software for high-throughput imaging instrumentation; Development of software and machine learning pipelines for large-scale data processing and analysis; Development and support of large data processing, storage, and computing infrastructure; Success will require close working collaboration with biologists and the ability to independently develop scientific computing software solutions to address biological questions. Building and optimizing programming pipelines will play a vital role in helping us to better understand the brain. Typical duties of the Functional Connectomics Software Engineer include : Developing software to generate, process, and analyze large-scale image data; Big data wrangling; Scientific software support and documentation for biologists; Computational systems oversight and programming; Communicating with collaborators and service providers; Documenting projects and communicating project progress. We offer the opportunity to : Apply your coding skills toward understanding the brain in a vibrant academic environment; Do cutting edge science with a supportive and collaborative team; Basic Qualifications Minimum of two years’ post-secondary education or relevant work experience Additional Qualifications and Skills Bachelor's Degree in computer science, engineering, life or physical sciences or a related discipline preferred. Highly proficient in Python. Advanced degree may count toward experience. We are especially interested in candidates with : an advanced degree in science or engineering programming experience in languages (e.g., C, Java, MATLAB) in addition to Python experience with machine learning, deep learning, and convolutional neural networks work experience in biomedical research and / or an academic science environment demonstrated experience teaching or training in an informal setting. The successful candidate will be self-motivated, and creative, and enjoy working in a dynamic and intellectually stimulating environment. S / he will be skilled at translating research problems into well-defined technical specifications and then developing and supporting user-friendly software solutions; s / he will have excellent coding skills; interpersonal skills; and enthusiasm for collaborating closely with biologists. Demonstrated experience in software development from the industry a plus. Certificates and Licenses Completion of Harvard IT Academy specified foundational courses (or external equivalent) preferred

The Senior Data Scientists will take a lead role in the end-to-end process of data science initiatives with limited supervision, including but not limited to model design, structure, development and post-deployment model performance monitoring. By conducting innovative research through advanced analytics and technical sophistication, the Senior Data Scientist will contribute to create the economic value at scale from both future growth and profitability perspectives. In this role, you will be set on a constant "treasure hunt" for new data sources to apply the latest techniques for modeling projects. You will have unparalleled opportunity to apply state-of-the-art machine learning techniques to real world datasets. You will work on a team of PhD level statisticians to create ground-breaking predictive models using new analytical techniques that determine insurance pure premiums, customer life time value, customer buying behaviors and other related topics. This work will be used in setting pricing, underwriting, marketing, policy and claims service, fraud detection and product design strategies for the Plymouth Rock group of Companies. The role is not simply research : you will be part of a tactical team driving the profit and customer growth of an assigned business segment. The analysis and modeling will be tested via implementation both broadly and on a pilot basis to allow us to learn and refine our approaches in rapid succession. Education Requirement and Qualification PhD from a quantitative area such as STEM (Science, Technology, Engineering and Mathematics), Economics, and Business. 5+ years of data science experience of developing and deploying advanced solutions with innovated concepts and sophisticated methodologies in the areas of Finance, IRM (Insurance and Risk Management), and Actuarial Science. Hands-on modeling experience and deep understanding of both conventional quantitative analytics such as GLM, GLMM, Bayesian statistics, Actuarial methods and tree-based machine learning techniques like GBM, Random Forest, Topics Model and Deep Learnings. Excellent programming skill of major software packages such as Python, R and SAS Deep understanding of database principle and solution deployment platform. Excellent communication skills both written and oral. Self-starter and critical thinking Essential Functions and Education Heavily contribute to the end-to-end predictive solution provision process, which includes but not limited to, technical evaluation of data usage, methodological selection, model development and creation / maintenance of post-deployment monitoring capability. Actively participate the feedback loop among different stakeholder groups to address newly emerging issues in a timely and constructive manner Collaborate with upper management to evaluate the impact of proposed solutions and incorporates these considerations into recommendations. Work with third party vendors and leading research institutions to explore new data source and newer methodologies seeking continuous improvement. Data Science projects include but not limited to development of pricing models, evaluation of customers' lift time value, credibility methodologies as well as experiment / algorithm design and implementation on Telematics. Communicate analytics, strategy and recommendations to diverse audiences, including technical and non-technical. Manage working streams of high complexity. Perform other job-related duties as assigned. About the Company The Plymouth Rock Company and its affiliated group of companies write and manage over $1.8 billion in personal and commercial auto and homeowner's insurance throughout the Northeast and mid-Atlantic, where we have built an unparalleled reputation for service. We continuously invest in technology, our employees thrive in our empowering environment, and our customers are among the most loyal in the industry. The Plymouth Rock group of companies employs more than 1,800 people and is headquartered in Boston, Massachusetts. Plymouth Rock Assurance Corporation holds an A. M. Best rating of "A- / Excellent". We believe that every person is entitled to equal employment opportunities. We do not discriminate against any employee or qualified applicant for employment on the basis of age, race, color, religion, national origin, ancestry, disability, gender, sexual orientation, gender identity or expression or genetic information. In addition, the state in which you work may protect certain other characteristics. We are committed to treating employees fairly and with dignity and respect, and we unconditionally prohibit discrimination in hiring, terminating, promoting, or compensating any employee on the basis of a qualified individual's membership in any of these protected classes

Job Description Position Title : Data Scientist Business Line : Data & Analytics Reports to : Advanced Analytics & Data Science Lead Basic Purpose : The Data scientist is a member of the analytics team whose focus is to build custom calculation engines, cleanse datasets and build reports and dashboards supporting the ESG and other quant business users. Primary Responsibilities : Partner with business teams to understand and document requirements, processes and workflows developing both written and visual depictions of requirements and process flows Work extensively in python and additional statistical packages to develop solutions for business problems statements. Deploy code to analytics platform using self-service deployment or partner with the technology team for dev-assisted deployment. Intermediate level knowledge of docker and Jupyter notebooks / Jupyter Hub Engages with business quant teams in a consulting capacity to train / help build analytics solutions including Machine Learning models Builds Tableau Data Models utilizing best practices, ensures data accuracy and ability to blend with other certified data sources. Maintains data sources on Tableau Server. Understand the reporting framework (Tableau) and partner with Enterprise reporting IT team to build & deploy reports and dashboards. Evaluate data sources and technology options, recommend appropriate solutions. Perform data analysis, data mapping, and develop ad hoc queries. Write SQL queries, stored procedures and scripts, ETL jobs. Perform QA testing of developed deliverables and assist with User Acceptance Testing Partner effectively with all levels of the organization and be responsible for direct interaction with internal business users. Manage the prioritization, logging and tracking of user related issues, defects, enhancements and work requests Job Requirements : Bachelor’s degree or equivalent in Finance, economics, Computer Science, Mathematics, Statistics or Physics Minimum of 5 years in investment analytics Minimum of 5 years business / data analysis and / or system development experience 5+ years’ experience in the financial services industry Strong development skills in Python Strong SQL skills Strong Excel skills Exposure to AWS cloud environment Strong analytical skills, problem solving and attention to detail. Ability to work in a team environment Excellent verbal and written skills Maintain a strong commitment to quality Tools used : Microsoft Office, MS SQL Server, Oracle, Tableau suite, Python, Microsoft Visio, ESP Enterprise Scheduler, Docker and Airflow, Jupyter , Scikit, Pandas