Position Summary Join our team and begin tackling critical issues at all levels of government in a team-focused environment with an emphasis on personal and professional growth. Now more than ever, organizations need support to address pressing needs in accounting, budgeting / forecasting, financial reporting, assurance, and internal controls. Accounting & Internal Controls (A&IC) is well-positioned to help our clients address their most urgent finance transformation needs. If you are interested in helping organizations effectively manage financial risks, then our team would be a great fit for you! Work you’ll do Identify opportunities for efficiencies in work process and innovative approaches to completing scope of work Participate in team problem solving efforts and offer ideas to solve client issues Maintain responsibility for completion and accuracy of work products Provide experience and development for a Deloitte product in development The team Deloitte’s Government and Public Services (GPS) practice our people, ideas, technology and outcomes is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of over 15,000+ professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise. Our team provides resources to help clients manage their core accounting and financial reporting functions , as well as solutions to help them achieve their controls and finance transformation aspirations. Our professionals keep up with emerging regulatory guidance along with industry and business trends to assist financial organizations. We develop solutions to data complexities to help our clients achieve optimal finance transformation and meet their digital controllership goals and objectives. Qualifications Required : Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future. Must be clearable and able to obtain a security clearance. Associates degree in Accounting, Information Technology / Systems, Business, Finance or another Business-related field Must have 2+ years experience as a Data Scientist - linear algebra, experimental design, hypothesis testing, machine learning Preferred : Python Programming R Programming How you'll grow At Deloitte, our professional development plan focuses on helping people at every level of their career to identify and use their strengths to do their best work every day. From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to help sharpen skills in addition to hands-on experience in the global, fast-changing business world. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Our people and culture Our diverse, equitable, and inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our client most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte’s purpose is to make an impact that matters for our clients, our people, and in our communities. We are creating trust and confidence in a more equitable society. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. We are focusing our collective efforts to advance sustainability, equity, and trust that come to life through our core commitments. Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.

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