Job Description Citizens' Enterprise Data & Analytics (ED&A) organization is seeking a Senior Data Scientist to build data & analytic capabilities that accelerate deployment of AI/ML models and other advanced analytic products. In this role, you will: <ul> <li>Partner with other data scientists, data engineers, and data subject matter experts to design, build, and deploy reusable data products that accelerate delivery of AI/ML models and other advanced analytic products</li> <li>Build a solid working knowledge of customer and business data and underlying business processes, in order to engineer highly relevant and impactful features for AI/ML models</li> <li>Accelerate speed to insight by automating routine analytical processes and pragmatic answers to business questions </li> <li>Build and deploy statistical and machine learning models and develop processes to evaluate and optimize model performance over time</li> <li>Communicate analytical insights as a clear and approachable story, reducing complexity as appropriate for different audiences</li> <li>Maintain a mindset aligned to Citizens' commitment to an Agile operating model and to managing data as a product </li></ul>A successful incumbent will have: <ul> <li>Master's degree in computer science, analytics, data science, statistics, or related field</li> <li>3-8 years of experience in turning ambiguous business problems and raw data into useful insights by applying critical thinking and advanced technical & statistical programming techniques</li> <li>Proficient in Python and SQL</li> <li>Applied experience with the full model development lifecycle, from design and development to deployment, monitoring, and governance</li> <li>A solid understanding of statistical and machine learning methods and algorithms</li> <li>Experience with cloud computing platforms (preferably AWS) and ML-related services such as Amazon Sagemaker</li> <li>A strong sense of intellectual curiosity and ability to thrive and deliver value in an entrepreneurial working environment</li> <li>Ability to work in a high-performance professional environment, with quick turn-around and evolving priorities, including flexibility to take on new roles and responsibilities as needed</li> <li>Commitment to intellectual rigor and observance of compliance and data privacy controls</li> <li>A disciplined approach to making decisions and setting expectations</li> <li>Experience working with large datasets (greater than 1 million records) and applying techniques to efficiently manage big data</li> <li>Experience working with technical collaboration tools such as Git and Jira (preferred)</li> <li>Experience working with financial or demographic datasets (preferred) </li></ul> Equal Employment Opportunity It is the policy of Citizens Bank to provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to race, color, ethnicity, religion, gender, pregnancy/childbirth, age, national origin, sexual orientation, gender identity or expression, disability or perceived disability, genetic information, citizenship, veteran or military status, marital or domestic partner status, or any other category protected by federal, state and/or local laws. Equal Opportunity & Affirmative Action Employer Disabled/Veteran About Us Equal Employment Opportunity At Citizens we value diversity, equity and inclusion, and treat everyone with respect and professionalism. Employment decisions are based solely on experience, performance, and ability. Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression (including transgender individuals who are transitioning, have transitioned, or are perceived to be transitioning to the gender with which they identify), genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague's or a dependent's reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. Equal Employment and Opportunity Employer Citizens is a brand name of Citizens Bank, N.A. and each of its respective affiliates. Job Applicant Data Privacy Policy Background Check Any offer of employment is conditioned upon the candidate successfully passing a background check, which may include initial credit, motor vehicle record, public record, prior employment verification, and criminal background checks. Results of the background check are individually reviewed based upon legal requirements imposed by our regulators and with consideration of the nature and gravity of the background history and the job offered. Any offer of employment will include further information.

Johnston RI, Hybrid preferred DATA SCIENTIST with Python, Data Science, Client Ops @Johnston RI Job summary : The ideal candidate will have a strong background in MLOps and Python, and will be responsible for overseeing various projects and ensuring their successful execution. This role requires excellent organizational skills, the ability to manage multiple tasks simultaneously, and a keen eye for detail. 3.Experience : 7to11Yrs 4. Required Skills : ,Python,Data Science,Client Ops 5 .Nice to have skills : 6.Technology : -Not Applicable 7.Shift : Day 8.Roles & Responsibilities : - Oversee the planning, execution, and delivery of multiple projects within the organization - Coordinate with cross-functional teams to ensure project milestones are met on time and within budget - Provide technical guidance and support in MLOps and Python to team members - Develop and implement project plans, including timelines, resource allocation, and risk management strategies - Monitor project progress and make necessary adjustments to ensure successful outcomes - Communicate project status, issues, and risks to stakeholders and senior management - Ensure that all project documentation is complete, accurate, and up-to-date - Facilitate regular project meetings and ensure that action items are tracked and completed - Identify opportunities for process improvements and implement best practices in project management - Collaborate with data scientists and engineers to integrate machine learning models into production environments - Ensure the scalability, reliability, and performance of machine learning systems - Provide training and mentorship to team members on MLOps and Python best practices - Evaluate and recommend new tools and technologies to enhance project efficiency and effectiveness - Conduct post-project evaluations to identify lessons learned and areas for improvement - Ensure compliance with company policies and industry regulations in all project activities - Foster a collaborative and inclusive team environment that encourages innovation and continuous learning -Qualifications - Possess a strong background in MLOps and Python with hands-on experience - Demonstrate excellent project management skills, including planning, execution, and monitoring - Exhibit strong communication and interpersonal skills to effectively collab Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.

Title: DATA SCIENTIST Duration: 12 Months Contract Location: Johnston RI, Hybrid preferred, Remote can be considered for right candidate but should be open to travel as needed. Client-CTS Job Responsibilities<ul> <li>We are seeking a highly skilled Data Scientist with 7 to 11 years of experience to join our team as a Business Associate.</li> <li>The ideal candidate will have a strong background in MLOps and Python, and will be responsible for overseeing various projects and ensuring their successful execution.</li> <li>This role requires excellent organizational skills, the ability to manage multiple tasks simultaneously, and a keen eye for detail. </li></ul> Required Skills: Python, Data Science, Client Ops Roles & Responsibilities: - <ul> <li>Oversee the planning, execution, and delivery of multiple projects within the organization </li> <li>Coordinate with cross-functional teams to ensure project milestones are met on time and within budget</li> <li>Provide technical guidance and support in MLOps and Python to team members -</li> <li>Develop and implement project plans, including timelines, resource allocation, and risk management strategies -</li> <li>Monitor project progress and make necessary adjustments to ensure successful outcomes -</li> <li>Communicate project status, issues, and risks to stakeholders and senior management -</li> <li>Ensure that all project documentation is complete, accurate, and up-to-date -</li> <li>Facilitate regular project meetings and ensure that action items are tracked and completed -</li> <li>Identify opportunities for process improvements and implement best practices in project management -</li> <li>Collaborate with data scientists and engineers to integrate machine learning models into production environments -</li> <li>Ensure the scalability, reliability, and performance of machine learning systems -</li> <li>Provide training and mentorship to team members on MLOps and Python best practices -</li> <li>Evaluate and recommend new tools and technologies to enhance project efficiency and effectiveness -</li> <li>Conduct post-project evaluations to identify lessons learned and areas for improvement -</li> <li>Ensure compliance with company policies and industry regulations in all project activities -</li> <li>Foster a collaborative and inclusive team environment that encourages innovation and continuous learning - </li></ul> Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.

Overview FM is a leading property insurer of the world's largest businesses, providing more than one-third of FORTUNE 1000-size companies with engineering-based risk management and property insurance solutions. FM helps clients maintain continuity in their business operations by drawing upon state-of-the-art loss-prevention engineering and research; risk management skills and support services; tailored risk transfer capabilities; and superior financial strength. To do so, we rely on a dynamic, culturally diverse group of employees, working in more than 100 countries, in a variety of challenging roles. Responsibilities As a Data Scientist, you will focus on translating business needs into analytics, interpretation of analytics into business applications, sophisticated technologies, and artificial intelligence solutions. This role will allow you to innovate, explore, and build solutions for FM Global using new technologies. You will develop and apply statistics, artificial intelligence, machine learning, and deep learning to various business problems in loss prevention. You'll be part of our innovative and diverse team of sophisticated data and analytics professionals. You'll work alongside multiple departments, including operations, innovation, business technology transformation, underwriting, and engineering. Through constant learning, innovation, discovery, and collaboration you'll not only help FM Global deliver on the promise of loss prevention, but you'll also grow your career and the scope of your impact across our company. Using your creativity and applying a vast array of techniques and tools, you will plan, conduct, and advise the development and evaluation of real-world, large-scale problems using artificial intelligence/machine learning with minimal or limited supervision. Your projects will be interesting, exciting and ambitious! You will use statistics to advance the mission and goals of FM Global. Qualifications <ul><li>Ph.D. in Statistics or Biostatistics (required) with 2+ years of industry experience preferred or a Master's degree with 5+ years of industry experience considered </li> <li>5+ years of experience of data processing, statistical analysis and modelling using tools such as Python,R </li> <li>3+ years of experience of processing large datasets using SQL </li> <li>Advanced Knowledge and Working Experience in: <ul> <li>Generalized Linear Models (Logistic Regression, Zero-Inflated Model, etc.) </li> <li>Model Regularization </li> <li>Probability Distributions </li> <li>Hypothesis testing </li> <li>Statistical Inference </li> <li>Machine Learning (Random Forest, Clustering, Gradient Descent, Gradient Boosting, etc.) </li> <li>Simulation </li> <li>Experiment Design </li> <li>Non-Parametric Statistics </li></ul> </li> <li>Experience as the lead role of full-cycle data science projects </li> <li>Working experience in risk management and/or property insurance is strongly preferred </li></ul> Compensation, Grade, and Job Title will be determined based on qualifications, experience, and technical skillset. The position is eligible to participate in FM Global's comprehensive Total Rewards program that includes an incentive plan, generous health and well-being programs, a 401(k) and pension plan, career development opportunities, tuition reimbursement, flexible work, paid time off allowances and much more. FM Global is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce. #FMG #LI-TA1

FM is a leading property insurer of the world's largest businesses, providing more than one-third of FORTUNE 1000-size companies with engineering-based risk management and property insurance solutions. FM helps clients maintain continuity in their business operations by drawing upon state-of-the-art loss-prevention engineering and research; risk management skills and support services; tailored risk transfer capabilities; and superior financial strength. To do so, we rely on a dynamic, culturally diverse group of employees, working in more than 100 countries, in a variety of challenging roles. As a Data Scientist, you will focus on translating business needs into analytics, interpretation of analytics into business applications, sophisticated technologies, and artificial intelligence solutions. This role will allow you to innovate, explore, and build solutions for FM Global using new technologies. You will develop and apply statistics, artificial intelligence, machine learning, and deep learning to various business problems in loss prevention. Youll be part of our innovative and diverse team of sophisticated data and analytics professionals. Youll work alongside multiple departments, including operations, innovation (https://www.fmglobal.com/insights-and-impacts/2023/climate-innovation-award) , business technology transformation, underwriting, and engineering (https://newsroom.fmglobal.com/releases/fm-globals-equipment-predisposed-tool-recognized-by-business-insurance-magazine-with-a-2021-innovation-award) . Through constant learning, innovation, discovery, and collaboration youll not only help FM Global deliver on the promise of loss prevention, but youll also grow your career and the scope of your impact across our company. Using your creativity and applying a vast array of techniques and tools, you will plan, conduct, and advise the development and evaluation of real-world, large-scale problems using artificial intelligence/machine learning with minimal or limited supervision. Your projects will be interesting, exciting and ambitious! You will use statistics (https://www.fmglobal.com/products-and-services/services/predictive-analytics) to advance the mission and goals of FM Global. Ph.D. in Statistics or Biostatistics (required) with 2+ years of industry experience preferred or a Masters degree with 5+ years of industry experience considered 5+ years of experience of data processing, statistical analysis and modelling using tools such as Python,R 3+ years of experience of processing large datasets using SQL Advanced Knowledge and Working Experience in: Generalized Linear Models (Logistic Regression, Zero-Inflated Model, etc.) Model Regularization Probability Distributions Hypothesis testing Statistical Inference Machine Learning (Random Forest, Clustering, Gradient Descent, Gradient Boosting, etc.) Simulation Experiment Design Non-Parametric Statistics Experience as the lead role of full-cycle data science projects Working experience in risk management and/or property insurance is strongly preferred Compensation, Grade, and Job Title will be determined based on qualifications, experience, and technical skillset. The position is eligible to participate in FM Globals comprehensive Total Rewards program that includes an incentive plan, generous health and well-being programs, a 401(k) and pension plan, career development opportunities, tuition reimbursement, flexible work, paid time off allowances and much more. FM Global is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce. #FMG #LI-TA1

FM is a leading property insurer of the world's largest businesses, providing more than one-third of FORTUNE 1000-size companies with engineering-based risk management and property insurance solutions. FM helps clients maintain continuity in their business operations by drawing upon state-of-the-art loss-prevention engineering and research; risk management skills and support services; tailored risk transfer capabilities; and superior financial strength. To do so, we rely on a dynamic, culturally diverse group of employees, working in more than 100 countries, in a variety of challenging roles.   As a Data Scientist, you will focus on translating business needs into analytics, interpretation of analytics into business applications, sophisticated technologies, and artificial intelligence solutions. This role will allow you to innovate, explore, and build solutions for FM Global using new technologies. You will develop and apply statistics, artificial intelligence, machine learning, and deep learning to various business problems in loss prevention. You’ll be part of our innovative and diverse team of sophisticated data and analytics professionals. You’ll work alongside multiple departments, including operations, innovation, business technology transformation, underwriting, and engineering. Through constant learning, innovation, discovery, and collaboration you’ll not only help FM Global deliver on the promise of loss prevention, but you’ll also grow your career and the scope of your impact across our company. Using your creativity and applying a vast array of techniques and tools, you will plan, conduct, and advise the development and evaluation of real-world, large-scale problems using artificial intelligence/machine learning with minimal or limited supervision. Your projects will be interesting, exciting and ambitious! You will use statistics to advance the mission and goals of FM Global. <ul><li>Ph.D. in Statistics or Biostatistics (required) with 2+ years of industry experience preferred or a Master’s degree with 5+ years of industry experience considered </li><li>5+ years of experience of data processing, statistical analysis and modelling using tools such as Python,R </li><li>3+ years of experience of processing large datasets using SQL </li><li>Advanced Knowledge and Working Experience in: <ul><li>Generalized Linear Models (Logistic Regression, Zero-Inflated Model, etc.) </li><li>Model Regularization </li><li>Probability Distributions </li><li>Hypothesis testing </li><li>Statistical Inference </li><li>Machine Learning (Random Forest, Clustering, Gradient Descent, Gradient Boosting, etc.) </li><li>Simulation </li><li>Experiment Design </li><li>Non-Parametric Statistics </li></ul> </li><li>Experience as the lead role of full-cycle data science projects </li><li>Working experience in risk management and/or property insurance is strongly preferred </li></ul> Compensation, Grade, and Job Title will be determined based on qualifications, experience, and technical skillset. The position is eligible to participate in FM Global’s comprehensive Total Rewards program that includes an incentive plan, generous health and well-being programs, a 401(k) and pension plan, career development opportunities, tuition reimbursement, flexible work, paid time off allowances and much more. FM Global is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce. #FMG #LI-TA1

Data Scientist Jobs in Johnston, RI

Sr Data Scientist
September 3, 2024

Data Scientist Johnston Ri
September 2, 2024

Data Scientist
September 2, 2024

Data Scientist Statistics
September 2, 2024

Data Scientist Statistics
August 31, 2024

Data Scientist Statistics
August 31, 2024

Data Scientist Statistics
August 30, 2024

Data Scientist Statistics
August 19, 2024

Data Scientist Statistics
August 12, 2024

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Data Scientist Jobs in Johnston, RI

Sr Data ScientistSeptember 3, 2024

Data Scientist Johnston RiSeptember 2, 2024

Data ScientistSeptember 2, 2024

Data Scientist StatisticsSeptember 2, 2024

Data Scientist StatisticsAugust 31, 2024

Data Scientist StatisticsAugust 31, 2024

Data Scientist StatisticsAugust 30, 2024

Data Scientist StatisticsAugust 19, 2024

Data Scientist StatisticsAugust 12, 2024

Quick filters

Top companies

Sr Data Scientist
September 3, 2024

Data Scientist Johnston Ri
September 2, 2024

Data Scientist
September 2, 2024

Data Scientist Statistics
September 2, 2024

Data Scientist Statistics
August 31, 2024

Data Scientist Statistics
August 31, 2024

Data Scientist Statistics
August 30, 2024

Data Scientist Statistics
August 19, 2024

Data Scientist Statistics
August 12, 2024