Principal Data Scientist
Data Science Internship Job In Akron, OH
Role: Data Scientist- Principal
Salary: up to $250k DOE + bonus
Clutch Creative is a rapidly growing staffing agency. We support our clients by identifying unreachable talent that helps their businesses grow.
Our candidates work with us because they know we have the best opportunities available to them and will help them navigate their next career move.
We care, we're honest, and we hustle-that's what makes us Clutch.
Clutch is looking for a Data Scientist at the Principal level with tire or manufacturing client experience.
Responsibilities:
Lead and shape the strategic direction of data science initiatives, aligning them with client business objectives.
Apply advanced statistical techniques, machine learning algorithms, and data mining methodologies to extract valuable insights from complex datasets.
Design, develop, and deploy innovative data-driven solutions, including predictive models, recommendation systems, and optimization algorithms.
Build strong relationships with clients, understand their business challenges, and translate complex technical concepts into actionable insights.
Mentor and guide junior data scientists, fostering a culture of innovation and continuous learning.
Stay abreast of emerging trends in data science and analytics, contributing to thought leadership initiatives and publications.
Collaborate with data engineers to design and implement robust data pipelines and infrastructure.
Oversee the deployment of data science models into production environments, ensuring scalability and reliability.
Requirements:
Advanced Degree: Ph.D. or Master's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Operations Research, or a related field).
10+ Years of Experience: Proven track record of leading complex data science projects in a consultancy environment preferred.
Previous experience with manufacturing or tire clients required!
Expertise in a variety of data science tools and techniques, including machine learning frameworks and cloud platforms.
Strong understanding of industry-specific data challenges and opportunities.
Excellent written and verbal communication skills to effectively convey technical concepts to both technical and non-technical audiences.
Ability to break down complex problems, identify root causes, and develop innovative solutions.
Proven leadership abilities to inspire and motivate teams, foster collaboration, and drive results.
Client-facing experience required!
Please read: Contact from Clutch employees will always come from the ********************* ONLY and we will always provide a phone number where you can contact us. Clutch will NEVER present a job offer without a verbal or video interview and we will never ask you to transfer or pay money to get hired. If you are skeptical about any email or job offer, please reach out to us directly.
Data Science Intern (Summer 2025)
Data Science Internship Job In Westfield Center, OH
The Data Science Intern, working under direct supervision, works on predictive models related to real-world insurance problems, leverages data to drive insights, supports decision-making, and contributes to the development of innovative solutions. As a Data Science Intern, you will collaborate with experienced professionals on meaningful projects, hone your technical acumen, refine programming skills, and communication abilities in a supportive and collaborative environment. Throughout the summer, the internship also provides broad exposure and interaction with professionals across the organization giving you a comprehensive view of the company and the property and casualty insurance industry.
#LI-DNI
Must be currently pursuing an advanced degree in Actuarial Science, Computer Science, Data Science, Mathematics, Statistics, or related discipline.
Must have some proficiency in programming languages such as Python, R, or SQL, with a basic understanding of statistical methods.
Strong problem-solving orientation preferred.
Exposure to complex data sets preferred.
For field roles, only: Valid driver's license and a driving record that conforms to company standards.
Location
Hybrid defined as three (3) or more days per week in the office
Behavioral Competencies
Collaborates
Communicates Effectively
Customer Focus
Decision Quality
Nimble Learning
Work closely with data scientists, underwriters, actuaries, or other team members to develop and deliver data-driven insights that enable stakeholders to accomplish business goals.
Seek feedback from supervisors or mentors to actively seek opportunities for improvement and apply learning to enhance performance throughout the internship.
Complete a Data Science project or projects which will be assigned closer to the start of the internship, some typical project scopes include:
Collecting, cleaning, and analyzing large datasets to identify trends, patterns, or correlations relevant to the business
Employing exploratory data analysis
Investigating feature generation
Supporting the development or implementation of predictive models to forecast insurance risks, customer behaviors, or business outcomes, which may involve various model forms and approaches (e.g., Poisson, Tweedie, GLM, GBM, etc.)
Creating clear, concise, and visually appealing reports, dashboards, or presentations that communicate findings and insights to stakeholders or data science leaders
Create thorough documentation of data processes, models, and analyses to ensure transparency and reproducibility.
Participate in department specific opportunities to build connections, receive mentorship, and apply technical acumen in Data Science through on-the-job learning opportunities that enhance knowledge and skills.
Engage in enterprise-wide internship program events and activities designed to enhance professional skills, career readiness, and personal awareness and reflection.
Exhibit professionalism through punctuality, reliability, and a positive attitude, while demonstrating a strong work ethic in fulfilling assigned responsibilities.
Data Analytics Intern (Hybrid)
Data Science Internship Job In Akron, OH
We have many opportunities available on our other career site pages. Click here to link to our careers page!
Signet Jewelers is the world's largest retailer of diamond jewelry, operating more than 2,800 stores worldwide under the iconic brands: Kay Jewelers, Zales, Jared, H.Samuel, Ernest Jones, Peoples, Banter by Piercing Pagoda, Rocksbox, JamesAllen.com and Diamonds Direct. We are a people-first company and this core value is at the heart of everything we do, from empowering our valued team members, to collaborating with our customers, to fostering the communities in which we live and serve. People - and the love their actions inspire - are what drive us. We're not only proud of the love we inspire outside our walls, we're especially proud of the diversity, inclusion and equity we're inspiring inside. There are dynamic career paths awaiting you - rewarding opportunities to impact the lives of others and inspire love. Join us!
This role will be responsible for the execution and maintenance of existing and new data analytic workflows to support a holistic audit approach to evaluate Signet's internal control environment.
The Internal Audit Data Analytics Intern exhibits an entrepreneurial mindset with attention to detail, drive to accomplish goals and focus on quality results. This individual has strong communication skills and the ability to multitask working with the internal audit and retail audit teams.
Responsibilities:
• Participate in data analytics related to audits (operational, financial, compliance, integrated), special projects and ad-hoc requests of Signet Management. Assist in the execution of analytics to obtain insights and identify data patterns which are not incompliance with Signet policies and procedures.
• Act as an analytic resource for the internal audit team.
• Performs additional duties and projects as assigned. Consistent regular scheduled attendance is considered an essential function of this job.
Qualifications:
• Pursing a Bachelor Degree in Computer Science, Statistics, Information Technology or related discipline. GPA of 3.0 or above
• Prior Data Analytics or business experience preferred but not required.
• Prior coursework in IT, auditing, analytics or business technology preferred
• Strong oral/written communication and interpersonal skills; Ability to quickly grasp concepts, analyze data and draw conclusions based on sound judgement; Ability to apply creative and innovating thinking; Ability to work independently.
Work Environment:
• Summer Internship 2024 (40 hours/week for 12 weeks).
• Ability to work in Akron, OH as position is a hybrid work environment.
The salary range for this opportunity is $18.00-$19.50/hour
. Base pay offered may vary depending on geographic region, internal equity, job related knowledge, skills and experience, among other factors.
Signet Jewelers is an equal opportunity employer committed to promoting diversity of all levels of employees. Please know that while we appreciate every applicant's interest, we can only contact those selected for further consideration.
Reinsurance and Catastrophe Risk Data Analytics Intern (Summer 2025)
Data Science Internship Job In Westfield Center, OH
The Reinsurance and Catastrophe Risk Data Analytics Intern will assist with extracting, preparing, and analyzing data to support reinsurance and catastrophe risk management operations. They will also provide reporting and analytics on assigned projects of low complexity and identifies and selects data options to meet business requirements. An intern is focused on developing business acumen and gaining leadership experience in their assigned business unit. Typically, an intern is given a project to complete or is assigned day-to-day activities to assist the business unit. An intern actively participates in the summer internship program.
#LI-DNI
Reinsurance and Catastrophe Risk Data Analytics Intern (Summer 2025)
Data Science Internship Job In Westfield Center, OH
The Reinsurance and Catastrophe Risk Data Analytics Intern will assist with extracting, preparing, and analyzing data to support reinsurance and catastrophe risk management operations. They will also provide reporting and analytics on assigned projects of low complexity and identifies and selects data options to meet business requirements. An intern is focused on developing business acumen and gaining leadership experience in their assigned business unit. Typically, an intern is given a project to complete or is assigned day-to-day activities to assist the business unit. An intern actively participates in the summer internship program.
#LI-DNI
High School Diploma or General Education Diploma (GED) and/or commensurate experience.
Either actively enrolled in an academic institution in pursuit of a degree in a relevant course of study or is a recent college graduate, typically having attained a degree within the past 12 months.
For field roles, only: Valid driver's license and a driving record that conforms to company standards.
Location
Hybrid defined as three (3) or more days per week in the office
Behavioral Competencies
Collaborates
Communicates Effectively
Customer Focus
Decision Quality
Nimble Learning
Assists the business unit in completing the tasks assigned to them, which often includes, but is not limited to, project work and covering the day-to-day operations of the business unit.
Participates in training programs, workshops, and on-the-job learning opportunities to enhance knowledge and skills related to the field or industry of the internship.
Participates in summer internship program events, including Lunch and Learns.
Completes assigned tasks and projects efficiently and effectively, following instructions and guidelines provided by supervisors or mentors.
Conducts research, gathers data, and analyzes information relevant to the internship focus or assigned projects.
Takes responsibility for administrative and support tasks of the department.
Collaborates with colleagues, supervisors, and other stakeholders to effectively communicate progress, challenges, and ideas, and actively participates in team meetings or discussions.
Works on projects that provide opportunity to collaborate with other interns as well as associates in other departments, ranging from data analysis to mentors.
Identifies and resolves issues or challenges that arise during the internship, demonstrating problem-solving skills and a proactive approach to finding solutions.
Demonstrates professionalism, punctuality, and a strong work ethic by being reliable, responsible, and maintaining a positive attitude towards assigned responsibilities.
Develops business skills in communication and shadowing other professionals.
Maintaining accurate records, documenting progress, and preparing reports or presentations as required by the internship program or supervisors.
Attends business unit meetings as assigned and creates and delivers presentations.
Seeks feedback from supervisors or mentors, actively seeking opportunities for improvement, and applying learning to enhance performance throughout the internship.
For field roles, only: Expected to drive/travel at least 25% of working time to perform essential functions. This may involve traveling on short notice or other daily driving duties as assigned.
Data Analyst
Data Science Internship Job In Cleveland, OH
Who We Are: Founded in 1989, Automated Media, Inc. (AMI) is an innovative, award-winning information technology firm, based in Michigan and serving customers around the globe. AMI creates ingenious technology solutions, and develops and manages successful systems for Ford, Chrysler, GM, and other customers. These include tire programs, as well as other technology and project management programs, consulting, billing, and systems solutions.
Base Pay Range:
$90K-105K
As a Data Analyst, your essential job functions will include the following:
Reporting & Analytics
Conduct program and promotional and post-mortem analysis to ensure expected promotion ROI is met.
Provide monthly assessment on achieving commodity level objectives, including tires and provide insights and actions on OEM and region trends.
Contribute to business cases for marketing and promotional program enhancements through analysis of sales, financial, and market trends.
Support the creation of the annual tire and dealer program marketing plans by providing insight and making recommendations through analysis of historical promotions.
Acquire and manipulate data from multiple sources to analyze relevant dealer program information and run ad hoc analysis.
Leverage access to OEM internal systems and request additional data where needed.
Contribute to monthly OEM reporting and streamline where possible.
Create/manage website metrics and field reports.
Utilizes business intelligence software to extract, analyze, and interpret data in order to generate reports for data visualization.
Work with OEM reporting system to discuss integrating data.
Lead in developing fiscal year projections. Convert complex analysis into visual presentations that can be easily consumed by staff and executives.
Provide data-driven insight-draw valid conclusions and make recommendations.
Project Management
Iteratively, efficiently, and effectively identify and execute projects with the greatest return.
Lead data analytics and ROI analysis for new project opportunities.
Collaborate with subject matter experts and ensure efforts are in alignment with the goals of the organization.
Serve as secondary point of contact for issue resolution. Work with appropriate groups within AMI and OEM to ensure that issues are resolved in timely manner.
Identify opportunities to improve current OEM programs and work with internal departments to implement program enhancements.
Guide technical design and structuring of software tools that are complex and require a high level of integration with existing systems and reporting.
Ensure project sponsors are consistently kept up-to-date on project status.
Independently interface with client technical teams and business owners as needed.
Quantify impact of analyses and changes.
Manage Data Science Products
Produce regular reporting and analysis-ensure reporting is timely and accurate.
Participate in and develop appropriate documentation to track program quality, volume, and satisfaction metrics.
Support the design and maintenance of data science tools and reporting related to data science product performance.
Document, update, and analyze data science production processes, as assigned. Ensure processes are updated routinely, are appropriately representative and drive action within the organization.
Build Trust and Reputation for Data Science
Provide data-driven insight for internal partners-draw valid conclusions and make recommendations.
Provide trustworthy guidance, fact-checking and advice for colleagues and project sponsors.
Ensure knowledge and experience are accessible to team-members such that it is clear that colleagues see you as the “go-to” expert in your assigned areas of responsibility.
Other Duties as Assigned
Position Requirements
BS/BA, preferably in Business, Marketing, Management, Mathematics or related field required.
Analytical experience in sales, marketing, promotions, or operations strongly preferred.
3-5 years' in a professional setting, automotive experience preferred.
Highly analytical and proficient in statistics and mathematics. Demonstrated detail orientation and organizational skills required to ensure prompt follow-up with both external (OEM) and internal customers.
Proven written/oral communication skills as well as presentation skills.
Advanced Microsoft Office products skills required.
OEM national or regional experience preferred.
Competencies Required
Strategic Thinking
Project Management
Teamwork
Diagnostic Skills
Critical Thinking
Communication
Results Orientation
Initiative
Physical Job Requirements
Continuous viewing from and inputting data to a computer screen.
Sitting for long periods of time.
Some travel required:
Drug Policy
AMI is a drug-free environment. All applicants being considered for employment must pass a pre-employment drug screening before beginning work.
Why AMI: An amazing opportunity to join a growing organization, built on the efforts of hard working, innovative, and team-oriented people. We offer a competitive salary + bonus, and a comprehensive benefit package including: paid time off, medical, dental, vision, and 401k matching (50% on the dollar up to 7% of employee contribution). For more information on our benefit offerings, please visit our Dealer Tire Family of Companies Benefits Highlights Booklet.
EOE Statement: Automated Media, Inc is an Equal Employment Opportunity (EEO) employer and does not discriminate on the basis of race, color, national origin, religion, gender, age, veteran status, political affiliation, sexual orientation, marital status or disability (in compliance with the Americans with Disabilities Act*), or any other legally protected status, with respect to employment opportunities.
*ADA Disclosure: Any candidate who feels that they may need an accommodation to complete this application, or any portions of same, based on the impact of a disability should contact Automated Media, Inc's Human Resources Department to discuss your specific needs. Please feel free to contact us at ************** x6550.
Wealth Management Data Analyst
Data Science Internship Job In Brooklyn, OH
**Top 3 Things looking for when reviewing resumes** 1. Data mapping and modeling experience 2. SQL, SAS and Python 3. Flexibility to be a DA (complex dataset creation), lead mapping review meetings as needed, but also to fill a BA role to ensure continuity of delivery with business
**Job Brief:**
Join the Foundational Analytics and Wealth Delivery squad as Data Analyst within Enterprise Data and Information Services (EDIS)! Be part of a team that is focused on building robust enterprise data pipelines to support reporting, analytics, and business insights that drive critical business decisions. The Data Analyst will be responsible for data mapping, required to deliver vital information to the consumer population for multiple data assets.
**Responsibilities:**
+ Owns the attribution mapping details for data elements from the source systems to the target analytics data assets and Wealth-specific data solutions including, but not limited to star marts, extracts, hierarchies, and point-to-point solutions to support Wealth domain assets.
+ Independently translates business requirements to detailed mapping documents, develops and unit tests datasets building maintainable code to accelerate delivery through reusability, and performs peer code reviews.
+ Embraces mentorship and provides training for less experienced business and data analysts.
+ Provides continuous improvement ideas to reduce expenses, improve efficiency, and elevate quality.
+ Assesses the technical viability of new and emerging data solutions providing design guidance, technical recommendations, performance optimization, and development insights.
+ Contributes to technical documentation, specifications, and project artifacts for developing data solutions.
+ Adheres to and identifies standards and best practices to be extended beyond the Foundational Analytics and Wealth Squad.
+ Give input into Data Models and Entity Relationship Diagrams and use those documents to build efficient SQL.
+ Create and enhance context diagrams for data solutions to maintain auditability.
+ Provide all the business rules, transformation logic, derived column expressions, SQL, etc. to build mapping documents.
+ Participate and give feedback in Mapping Review Sessions and Data Architecture Review Sessions.
+ Knowledge of portfolio planning, project prioritization, and remediation planning activities.
+ Strong knowledge of Risk Management practices associated with Financial Institution or financial data.
**Experience:**
+ Education: Master's Degree and 4+ years data analytics experience, Bachelor's Degree and 7+ years data analytics experience, or equivalent military/work experience.
+ Possess strong written and verbal communication skills.
+ Experience in Google Cloud Platform, notable Big Query.
+ Experience programming in SQL, SAS and Python.
+ Experience in data mapping and modeling.
**Preferred Skills:**
+ Experience with Agile Methodologies, Jira, Confluence, Miro, and Asana.
+ Experience working with Wealth Systems including Envestnet, Pershing, GlobalPlus, and Omnipay Nextgen or similar products is highly preferred.
+ Extensive experience analyzing and interpreting business data leveraging various techniques including automation for data quality validations.
+ Experience in AbInitio or AbInitio Spectograph.
+ Experience working with APIs and a solution orchestration layer is a plus.
**Education:**
+ Master's Degree and 4+ years data analytics experience, Bachelor's Degree and 7+ years data analytics experience, or equivalent military/work experience.
**About US Tech Solutions:**
US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit *********************** (********************************** .
" US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. "
Data Analyst
Data Science Internship Job In Westfield Center, OH
Insight Global is looking to hire a seasoned Data Analyst for one our largest insurance clients. The ideal candidate will come from a Daya Analysis background who is familiar with data modeling. You will be responsible for understanding and clarifying business requirements, identifying potential data sources, selecting appropriate data based on business requirements, and extracting and preparing data and build appropriate reports. . The role uses advanced quantitative and qualitative analysis to draw conclusions and effectively communicate potential impacts and alternatives and make recommendations. The role collaborates with other analysts, business members and IT and serves as a subject matter expert (SME) to less experienced data analysts and can coordinate/direct work assignments. 80% of the time will be data analysis, while 20% will be low to medium complex data design.
Job Responsibilities:
Performs data analysis, data profiling and data sourcing utilizing knowledge of data definitions, domain values, data relationships, business rules, data sources and the enterprise integrated data environment.
Gathers and documents functional and non-functional data requirements by collaborating with stakeholders.
Creates, updates, and validates source to target mapping documents.
Analyzes impacts of planned new application development or enhancements to existing applications on legacy and other relational data stores and the enterprise integrated data environment.
Creates, updates, and validates conceptual, logical, and physical data models as needed in support of requested changes.
Loads and manages reference data in partnership with business customers.
Analyzes and identifies data quality concerns or cleansing opportunities to correct data quality anomalies and facilitate resolution between technical, business, and other stakeholders.
Assimilates data from various sources and draws appropriate conclusions and makes relevant recommendations from the data for the most complex problems.
Creates reports to visually depict data that enables business decisions to be made.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to ******************** .
To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: *************************************************** .
Skills and Requirements
- 7+ years of Data Analyst experience
- Low-level data modeling experience good understanding of data design
- Proficient in SQL - Tableau or Power BI (Preferred)
- Python
- P&C insurance experience
- Experience with Erwin null
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to ********************.
Enterprise Data Analyst
Data Science Internship Job In Solon, OH
We are seeking to fill an Enterprise Data Analyst role for Coleto Brands in either Greenville, SC or Solon, OH. This position is responsible for:
Developing and implementing data analysis solutions using the SAP analytics cloud (SAC) platform and Datasphere
Gathering requirements, building reports, dashboards, and administration of the SAC platform and providing ongoing support to business team members
Collaborating with the manager of data analytics, enterprise data engineer, information technology and business team members to bridge complex data sets and implement reporting needs through data modeling and visualizations to facilitate better decision-making and needs across the enterprise
Duties and Responsibilities:
Lead and participate in the full lifecycle of data analytics projects, from requirements gathering and design to development, testing and deployment
Gather and understand business needs across the enterprise, identify key performance indicators (KPIs), translate and implement KPIs into data analysis requirements and visualizations
Collaborate with data engineers and IT teams to assist in identifying diverse data sources, cleansing, transforming and creating data models within SAC to ensure data quality, integrity, and accessibility
Create advanced interactive dashboards, reports, charts, and graphical representations through defining calculations, and customizing SAC features, which allow users to explore data dynamically, filter information, and drill down into specific details
Apply statistical methods to identify trends, patterns, and relationships
Administer, manage and maintain user roles and permissions within SAC with appropriate levels of access to ensure compliance with enterprise data security policies and compliance with data privacy regulations
Partner and collaborate with cross-functional teams and stakeholders to understand business challenges, understand analytical needs, and deliver data-driven solutions that inform strategic decisions
Provide training to end users on how to utilize SAC functionalities and resolving user inquiries
Stay updated on emerging data analytics tools, technologies, and SAP, recommending and implementing new solutions to enhance data analysis capabilities
Perform other related duties necessary to conduct job objectives in an efficient and effective manner
Skills and Experience:
Expertise in SAP Analytics Cloud platform features including data modeling and visualizations, planning functions and data integration capabilities
Deep knowledge of business operations, financial principles, and strategic planning
Strong understanding of data cleansing, manipulation, data extraction, and analysis technique
Expertise in SAP S/4 HANA Public Cloud, Datasphere and SAP Analytics Cloud to create CDS view, and/or other data visualization tools (Tableau, PowerBI, etc.)
Deep knowledge in SQL, scripting languages such as Python or R, and JavaScript
Familiarity with cloud-based systems and platforms (Azure, AWS, etc.) and ETL processes
Understanding of data governance principles, data quality methodologies, data lifecycle management
Excellent verbal and written communication skills, with the ability to communicate complex data concepts to non-technical stakeholders, influence, and drive decision-making, as well as lead teams
Demonstrated ability to approach business problems critically and propose data-backed solutions while managing priorities and deadlines effectively
Proven experience in data management roles, with experience managing large, complex, and diverse datasets from multiple data, including real-time streaming data
Three plus (3+) years of experience in data visualization, data management or related field
Three plus (3+) years of experience with cloud platforms such as SAP Analytics Cloud, Datasphere, S4/HANA (public cloud preferred), and BTP
Bachelor's degree in information management, data science, statistics, mathematics, engineering, computer science, business administration or similar field of study or equivalent relevant work experience
Preferred:
Certified Data Management professional (CDMP) and/or Certified Analytics Professional (CAP)
UX front end skills
Travel requirements: 5% of time
About US:
Coleto Brands is a dynamic collective of brands united by a commitment to enhancing spaces through design and functionality. Headlined by its flagship brands, Kichler and Progress Lighting, Coleto Brands provides residential lighting fixtures across key categories, including interior and exterior decorative lighting, bath/vanity, architectural systems and downlights, ceiling fans and landscape. Visit *********************
**We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Coleto Brands LLC, its divisions, subsidiaries and affiliates (collectively “Coleto Brands” or the “Company”) is an equal opportunity employer and we want to have the best available persons in every job. The Company makes employment decisions only based on merit. It is the Company's policy to prohibit discrimination in any employment opportunity (including but not limited to recruitment, employment, promotion, salary increases, benefits, termination and all other terms and conditions of employment) based on race, color, sex, sexual orientation, gender, gender identity, gender expression, genetic information, pregnancy, religious creed, national origin, ancestry, age, physical/mental disability, medical condition, marital/domestic partner status, military and veteran status, height, weight or any other such characteristic protected by federal, state or local law. The Company is committed to complying with all applicable laws providing equal employment opportunities. This commitment applies to all persons involved in the operations of the Company regardless of where the employee is located and prohibits unlawful discrimination by any employee of the Company.
Coleto Brands is an E-Verify employer. E-Verify is an Internet based system operated by the Department of Homeland Security (DHS) in partnership with the Social Security Administration (SSA) that allows participating employers to electronically verify the employment eligibility of their newly hired employees in the United States. Please click on the following links for more information.
E-Verify Participation Poster:
English and Spanish
E-Verify Right to Work Poster:
English
,
Spanish
Data Analyst II
Data Science Internship Job In Cleveland, OH
Looking for a rewarding career with a purpose?
Come see why the Cleveland Plain Dealer has named Catholic Charities one of the top workplaces for 10 years in a row.
If you are a compassionate and dedicated person looking for an opportunity to make a difference in society, we encourage you to apply. Catholic Charities isn't just an organization that provides help to those in need in our communities-it's a place where employees are encouraged to live purpose driven lives, professionally and personally. Join our team as we provide help and create hope for those in need.
At Catholic Charities, we serve everyone, regardless of belief or background, and we employ qualified individuals who commit to our mission with the goal of transforming lives for the better. One need not be Catholic to join our workforce nor to access our services.
Benefits:
Health Insurance starting your first day
Tuition Reimbursement
401k plan including employer match
Competitive Time Off Benefits
Career Planning and Development
And more!
Data Analyst II
Catholic Charities seeks a Data Analyst II to design and deploy Power BI dashboards, conduct deep data analysis, and support KPIs. Requires proficiency in BI tools, SQL, and data analytics, with 3-5 years' experience. Experience with Avatar EHR and CRM preferred.
Responsibilities:
Under direction, ensure that the activities of this position and relevant programs are consistent with the mission, vision, and values of Catholic Charities, Diocese of Cleveland.
Structure data sets and establish business rules to find usable information to display in dashboard reports, including applying filters to visualizations that support simple-to-use data displays.
Create, test, and deploy Power BI scripts, as well as execute efficient deep analysis
Use software applications such as SQL, DAX, Python and Power BI to structure and streamline data uploads, and manage the data stored in the data warehouse.
Create ad hoc reports to explore trends and patterns detected in data, as requested by leadership.
Run routine ETL processes, document new and/or revised processes, analyze processes for efficiencies and recommend revisions to procedures to improve performance.
Support programs in defining key performance indicators (KPIs) with specific objectives and track them regularly.
Document all procedures used in data analysis, including KPI and ETL processes to ensure consistent practices are maintained.
Collaborate with team members to collect and analyze data.
Support the Performance Improvement Department through timely completion of strategic projects assigned.
Perform other duties as necessary to accomplish objectives.
Requirements:
Combination of experience and education normally represented by a Bachelor's Degree in computer technologies or related field with 3-5 year's professional experience.
Background with BI tools and systems such as Power BI and Tableau.
Understanding of the Microsoft Office 365 environment
Must be proficient in data analytics
Must be able to use analytical thinking for converting data into relevant reports and graphics
Must have capability to enable row-level data security and knowledge of Power BI application security layer models
Proficient in conducting advanced-level computations on data sets
Excellent communication skills, presentation and training skills.
Final applicant is required to be fingerprinted to complete background check.
Recommended:
Experience with using Avatar EHR platform.
Experience with CRM software
Learn More about Catholic Charities and our Programs by visiting:
Overview | Catholic Charities Diocese of Cleveland (ccdocle.org)
Service Areas | Catholic Charities Diocese of Cleveland (ccdocle.org)
Catholic Charities is an equal opportunity employer.
Data Scientist
Data Science Internship Job In Cleveland, OH
We are looking for a Data Scientist based in our Poznan location to join the Data & AI team in ROCKWOOL. Ready to help build a better future for generations to come? In an ever-changing, fast paced world, we owe it to ourselves and our future generations to live life responsibly. At ROCKWOOL, we work relentlessly to enrich modern living through our innovative stone wool solutions.
Your future team:
We have recently started a journey towards using more digitalization and automation and better use of data - and this is where your abilities come into play. You will join our Data & AI team and work at the forefront of AI and machine learning. This role is based in our Poznan office, but is an integral part of a larger global Data Science & Engineering team spread across Denmark, Poland and Malaysia.
What you will be doing:
We are seeking a talented and experienced Data Scientist (we are considering both Seniors and Regulars) to join our dynamic team with a focus on implementing our AI/ML models and AI products. The role requires a blend of data science, software development and database management skills. More concretely, you will build AI products with a focus on the following:
* You will develop machine learning and AI models in various areas ranging from manufacturing and commercial data. Use cases can range from image recognition and computer vision to email classification and optimization algorithms.
* You will work on the entire AI lifecycle, from ideation to production. The role requires you to not only develop a model but also be able to wrap it into a product which can be used by people both internally (ROCKWOOL employees) and externally (ROCKWOOL customers).
* You will utilize technologies such as Neural networks, XGBoost, time series analysis, YOLO, Azure OpenAI, LLMs, vector databases, Langchain, and other services to create and maintain solutions across the AI landscape.
* You will utilize web technologies such as React to develop web applications as interfaces for our AI models and databases such as Postgres, MongoDB, and other database management systems to manage the underlying data for the AI products.
What you bring:
* A master's degree in computer science, Data Science, Mathematics, Statistics, or related field
* 3+ years of experience in Data Science
* Experience with both GenAI and classical machine learning techniques.
* Experience of working with LLMs, transformer models, vector databases, RAG frameworks, Langchain, etc.
* Excellent skills within Python, SQL, and cloud computing technologies
* Hands on experience in deploying models and algorithms into production systems with tools such as Kubernetes, docker, yaml, etc.
* Experience with ML Ops tools and frameworks such as Kubeflow, MLflow, e.g. is desirable
* Professional in English language
ROCKWOOL are keen to nurture employees develop their talents and move forward in their careers. You can expect to be supported in your professional ambitions through our programs, to help you reach your professional goals.
What we offer:
By joining our team, you become a part of the people-centric work environment of a Danish company. We offer you a competitive salary, permanent contract after the probation period, development package, team building events, activity-based office in Poznan's city center in the new prestigious office building - Nowy Rynek. The building is recognized as a building without barriers, which means that it is fully adapted to the needs of people with disabilities.
Our compensation package on employment contracts includes:
* An office-first approach: home office is available up to 2 days per week
* Adaptable Hours: start your workday anytime between 7:00 AM and 9:00 AM
* Home office subsidy
* Private Medical Care
* Multikafeteria MyBenefit
* Wellbeing program
* Extra Day Off for voluntary activities
… and while in the office you can also use modern office space with beautiful view and high standard furniture, bicycle parking facilities & showers, chill-out rooms with PlayStation, football table, pool table, board games, subsidized canteen with delicious food & fruit.
Interested?
If you recognize yourself in this profile and challenge, we kindly invite you to apply with CV written in English.
Who we are
We are the world leader in stone wool solutions. Founded in 1937 in Denmark, we transform volcanic rock into safe, sustainable products that help people and communities thrive. We are a global company with more than 12,000 employees, located in 40+ countries with 51 manufacturing facilities, all focused on one common purpose - to release the natural power of stone to enrich modern living.
Sustainability is central to our business strategy. ROCKWOOL was one of the first companies to commit to actively contributing to the United Nations Sustainable Development Goals (SDG's) framework and are actively committed to 11 SDGs, including SDG 14, Life Below Water. Through our partnership with the One Ocean Foundation and in connection with our sponsorship of the Denmark SailGP team, we will help raise awareness around ocean health challenges in an effort to accelerate solutions to protect it.
Diverse and Inclusive Culture
We want all our people to feel valued, respected, included and heard. We employ 79 different nationalities worldwide and are committed to providing equal opportunities to all employees, promote diversity, and work against all forms of discrimination among ROCKWOOL employees.
Data Scientist (Python)
Data Science Internship Job In Cleveland, OH
Data Scientist - Full Job Description
If you are an exceptional Data Scientist with experience and knowledge of Python, DevOps and agile development practices, please read on!
Emerald Resource Group is currently assisting a top employer recruit for Data Scientist in Greater Cleveland Area.
Why you'll love us:
The position provides excellent personal and professional growth potential. As a Data Scientist, you will be valued for your unique experience, background and perspective.
Work-life balance, recognition, and learning and career development will all be part of a rewarding career.
What's cool about this job?
Working under limited supervision, as a Data Scientist you will be responsible for leading and participating in projects utilizing large amounts of data to develop recommendations and solutions. You will manage projects of varying complexity with some being very complex and typically focused on profitability, revenue growth, and/or expense reduction.
Ready to create a career that no one could have planned for?
A day in the life
Develop and/or researches, learns, and then applies novel techniques to create solutions for problems
Select optimal approach then develops predictive and prescriptive models to surface insights and drive action
Use statistical testing and experimental design where appropriate
Apply artificial intelligence and machine learning to enhance decisions embedded in business processes
Use effective project planning techniques to break down projects into tasks and ensure deadlines are kept
Define success measures and tracks performance of models
Actively research and implement innovations to new and existing AI/ML models and processes
Develop predictive and prescriptive models of varying complexity including very complex models to surface insight and drive action
Perform regular model maintenance
Initiate then drives projects to completion with minimal guidance
Provide some thought leadership
Gather data from disparate sources and ensures data quality (e.g. correlation, detection of outliers, imputation of missing values, data standardization and deduplication) throughout all stages of collection/acquisition, annotation and processing, normalization and transformation
Actively use Git version control system and has knowledge of DevOps and agile development practices
Must have skillset (specific experiences can be concurrent):
Must have experience in at least 3 of the following: predictive analytics, machine learning, unsupervised learning, optimization, simulation
Proficient and proven experience scripting in a high-level programming language (e.g., Python, R)
Proficient in SQL including experience writing well-structured and efficient queries
Experience working with data from a variety of sources (e.g., databases, JSON, text-based, image, and unstructured data)
Experience with data visualization tools or data visualization within a high-level programming language (e.g., Python, R)
Strong storytelling skill set including significant experience communicating complex technical information to a non-technical audience
Hands on project management experience
High intellectual curiosity with ability to develop new knowledge and skills and use new concepts, methods, digital systems and processes to improve performance
Valid driver's license and a driving record that conforms to company standards
To succeed in this role, you'll also need:
Ability to work effectively in an office environment for 40+ hours per week (including sitting, standing, and working on a computer for extended periods of time)
Ability to communicate effectively in a collaborative work environment utilizing various technologies such as: telephone, computer, web, voice, teleconferencing, e-mail, etc.
Ability to travel as required
Ability to operate an automobile within the parameters of the driving policy
Top reasons to work with us:
You will benefit a Total Rewards program that focuses on:
Compensation
Flex-time
Benefits and wellness
401(k), pension plan
Annual incentive
Education reimbursement
Onsite fitness center
Casual dress
Education:
Bachelor's degree with quantitative focus in Econometrics, Statistics, Operations Research, Mathematics, Computer Science, Actuarial Science or related field OR commensurate experience
Job type:
Full-time
Interested?
We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates, so please don't hesitate to apply - we'd love to hear from you!
For any follow up questions email your Recruiter Tom Gaebelin directly at **************************** or call at ************.
**WHY EMERALD RESOURCE GROUP**
We are more than just a talent scouting agency. We believe that the key to a company's success is its people, and our mission is to match exceptional candidates with exceptional companies. With over 25 years of experience, we have built a reputation as an industry leader in IT recruiting, working with a diverse range of clients from startups to Fortune 500 companies. This means more and better opportunities for you to take your career to the next level. Choose Emer
Data Scientist - 1721092
Data Science Internship Job In Cleveland, OH
Data Scientist - Supply Chain
Direct Hire - Salary ( 100-115K)
In office - You must live in NE Ohio
The company will not pay for relocation and prefers local talent
You must be a current US Citizen or Green Card Holder
Data Scientist
Attention exceptional Data Scientists with experience and knowledge of Python, DevOps, SQL, R, and ML algorithms !
Emerald Resource Group is currently seeking top talent for a Data Scientist position in the Greater Cleveland Area.
Required to be considered:
-US Citizen or Green Card Holder
-Minimum of Bachelor's Degree with a Masters or Ph.D preferred.
-Python, SQL, R, BI reporting experience (PowerBI , Tableau, and Excel are currently used)
-Supply Chain experience as a Data Scientist, Data Analyst, Data Engineer, or similar will be considered first.
Why make the switch?
Our client offers an exceptional opportunity for personal and professional growth. As a Data Scientist, you'll be valued for your unique experience, background, and perspective. We know that work-life balance, recognition, and learning and career development are all part of a rewarding career, and we're committed to delivering on those promises.
Objectives of the role:
As a Data Scientist , you'll be responsible for leading and participating in projects that utilize large amounts of data to develop recommendations and solutions. This is a supply chain industry role. You'll manage projects of varying complexity, with some being very complex and typically focused on profitability, revenue growth, and/or expense reduction. Working under limited supervision, you'll have the opportunity to make a significant impact on the organization and be recognized for your contributions.
Ready to create a career that no one could have planned for? Apply now and join our client's team of top-tier Data Scientists. We're looking forward to hearing from you!
A day in the life:
As a Data Scientist, you will:
Develop and/or researches, learns, and then applies novel techniques to create solutions for problems
Select optimal approach then develops predictive and prescriptive models to surface insights and drive action
Use statistical testing and experimental design where appropriate
Apply artificial intelligence and machine learning to enhance decisions embedded in business processes
Use effective project planning techniques to break down projects into tasks and ensure deadlines are kept
Define success measures and tracks performance of models
Actively research and implement innovations to new and existing AI/ML models and processes
Develop predictive and prescriptive models of varying complexity including very complex models to surface insight and drive action
Perform regular model maintenance
Initiate then drives projects to completion with minimal guidance
Provide some thought leadership
Gather data from disparate sources and ensures data quality (e.g. correlation, detection of outliers, imputation of missing values, data standardization and deduplication) throughout all stages of collection/acquisition, annotation and processing, normalization and transformation
Actively use Git version control system and has knowledge of DevOps and agile development practices
Must have skillset (specific experiences can be concurrent):
Must have experience in at least 3 of the following: predictive analytics, machine learning, unsupervised learning, optimization, simulation
Proficient and proven experience scripting in a high-level programming language (e.g., Python, R)
Proficient in SQL including experience writing well-structured and efficient queries
Experience working with data from a variety of sources (e.g., databases, JSON, text-based, image, and unstructured data)
Experience with data visualization tools or data visualization within a high-level programming language (e.g., Python, R)
Strong storytelling skill set including significant experience communicating complex technical information to a non-technical audience
Hands on project management experience
High intellectual curiosity with ability to develop new knowledge and skills and use new concepts, methods, digital systems and processes to improve performance
Valid driver's license and a driving record that conforms to company standards
To succeed in this role, you'll also need:
Ability to work effectively in an office environment for 40+ hours per week (including sitting, standing, and working on a computer for extended periods of time)
Ability to communicate effectively in a collaborative work environment utilizing various technologies such as: telephone, computer, web, voice, teleconferencing, e-mail, etc.
Ability to travel as required
Ability to operate an automobile within the parameters of the driving policy
Education:
Bachelor's degree with quantitative focus in Econometrics, Statistics, Operations Research, Mathematics, Computer Science, Actuarial Science or related field OR commensurate experience
Job type:
Full-time
For any follow up questions email your Recruiter
Tom Gaebelein
****************************
************. (the best candidates always call)
INTERESTED BUT NOT SURE?
We know the confidence gap can get in the way of meeting spectacular candidates, so please don't hesitate to apply - we'd love to hear from you!
Looking for a different role? Check out hot vacancies here **************************** and navigate to our "Careers" page.
**WHY EMERALD RESOURCE GROUP**
We are more than just a talent scouting agency. We believe that the key to a company's success is its people, and our mission is to match exceptional candidates with exceptional companies. With over 25 years of experience, we have built a reputation as an industry leader in IT recruiting, working with a diverse range of clients from startups to Fortune 500 companies. This means more and better opportunities for you to take your career to the next level. Choose Emerald Resource Group for excellence in IT recruiting.
Let's keep in touch!
Twitter: @EmeraldRG
LinkedIn: @Emerald Resource Group
Facebook: @Emerald Resource Group
**FOR HIRING MANAGERS - Are you struggling to find top IT talent for your team? Let us take the burden off your shoulders. Simply send us the job description for the open positions you're trying to fill, and our expert recruiters will work tirelessly to find the perfect fit for your company. Don't miss out on the opportunity to bring on exceptional IT professionals - contact us today!
Procurement Data Analyst Job Details | Great Lakes Cheese
Data Science Internship Job In Hiram, OH
The Procurement Data Analyst is responsible for managing and analyzing procurement data to provide actionable insights, optimize procurement strategies, and support decision-making. This role involves close collaboration with cross-functional teams, producing reports, tracking key performance indicators (KPIs), and identifying trends to enhance procurement performance.
Job Responsibilities
+ Collect and consolidate data from various sources, including suppliers, internal procurement systems (e.g., SAP, BW), and financial records.
+ Ensuring that procurement data is organized and easily accessible for analysis, often working with systems like SAP and BW.
+ Work closely with Demand Planning and Procurement teams to identify & escalate and forecast/consumption reviews.
+ Regularly produce reports related to procurement performance, including spend analysis, supplier performance, and cost savings.
+ Generate and monitor key performance indicators (KPIs) like cost savings, supplier delivery performance, and contract compliance.
+ Develop interactive dashboards that display procurement performance metrics for stakeholders.
+ Identify trends in spending, supplier performance, and market conditions to provide actionable insights.
+ Analyze procurement spending to identify opportunities for cost savings, supplier consolidation, or better contract terms.
+ Evaluate supplier performance based on metrics like delivery time, quality, pricing, and compliance.
+ Use data to identify inefficiencies or bottlenecks in the procurement process and suggest improvements.
+ Analyze procurement patterns to identify areas where cost reductions or process optimizations can be achieved.
+ Collaborate with procurement managers and other stakeholders to provide data-driven insights that support decision-making.
+ Coordinate with cross functional departments and managers to ensure alignment of procurement strategies.
+ Help predict future procurement needs by analyzing historical trends and forecasts.
+ Use data to model different procurement strategies or scenarios, helping the organization assess potential risks and outcomes.
+ Verify the accuracy and consistency of procurement data to avoid errors in reporting or decision-making.
+ Support, execute and lead the Procurement team in business systems upgrades.
+ All GLC employees are expected to perform any assignment or job task according to the stated safety policies and procedures.
+ All GLC employees are expected to produce our products in a manner that exceeds the quality and value expectation of our customers and consumers by adhering to Good Manufacturing Practices, Policies and Procedures outlined in our Safe Quality Food Program.
+ Other duties as assigned by your manager
Required Education and Experience
+ Bachelor's Degree in Supply Chain, Data Analytics or in another relevant degreed seeking program.
+ 3 years or more of experience in procurement.
+ Strong analytical and problem-solving skills with experience in data analysis and reporting.
+ Proficiency in procurement and data analysis tools such as SAP, BW, Excel, Tableau, Power BI, or similar platforms.
+ Ability to identify trends, provide insights, and recommend improvements in procurement strategies.
+ Strong collaboration and communication skills to work effectively with cross-functional teams.
+ Detail-oriented with a focus on accuracy and data integrity.
+ General experience with MS Project or other project tools.
+ General experience managing MS SharePoint sites.
+ Must be legally authorized to work for a company in the United States without sponsorship.
Preferred Education and Experience
+ Strong teamwork approach to problem solving with the ability to make sound, independent decisions based on functional expertise and experience.
+ Ability to handle multiple tasks
+ Process and systems implementation experience
+ Manufacturing company experience
+ Food industry experience
Working Conditions
- Occasional exposure to industrial operations including: temperature extremes from approximately 35ºF to 100ºF; noise levels in excess of 85 dB; moisture and moving machinery.
- Work is performed in an office setting.
EEOC & Disclaimer
Great Lakes Cheese is an Equal Opportunity Affirmative Action Employer.
Data Analytics Intern (Hybrid)
Data Science Internship Job In Akron, OH
We have many opportunities available on our other career site pages. Click here to link to our careers page!
Signet Jewelers is the world's largest retailer of diamond jewelry, operating more than 2,800 stores worldwide under the iconic brands: Kay Jewelers, Zales, Jared, H.Samuel, Ernest Jones, Peoples, Banter by Piercing Pagoda, Rocksbox, JamesAllen.com and Diamonds Direct. We are a people-first company and this core value is at the heart of everything we do, from empowering our valued team members, to collaborating with our customers, to fostering the communities in which we live and serve. People - and the love their actions inspire - are what drive us. We're not only proud of the love we inspire outside our walls, we're especially proud of the diversity, inclusion and equity we're inspiring inside. There are dynamic career paths awaiting you - rewarding opportunities to impact the lives of others and inspire love. Join us!
This role will be responsible for the execution and maintenance of existing and new data analytic workflows to support a holistic audit approach to evaluate Signet's internal control environment.
The Internal Audit Data Analytics Intern exhibits an entrepreneurial mindset with attention to detail, drive to accomplish goals and focus on quality results. This individual has strong communication skills and the ability to multitask working with the internal audit and retail audit teams.
Responsibilities:
• Participate in data analytics related to audits (operational, financial, compliance, integrated), special projects and ad-hoc requests of Signet Management. Assist in the execution of analytics to obtain insights and identify data patterns which are not incompliance with Signet policies and procedures.
• Act as an analytic resource for the internal audit team.
• Performs additional duties and projects as assigned. Consistent regular scheduled attendance is considered an essential function of this job.
Qualifications:
• Pursing a Bachelor Degree in Computer Science, Statistics, Information Technology or related discipline. GPA of 3.0 or above
• Prior Data Analytics or business experience preferred but not required.
• Prior coursework in IT, auditing, analytics or business technology preferred
• Strong oral/written communication and interpersonal skills; Ability to quickly grasp concepts, analyze data and draw conclusions based on sound judgement; Ability to apply creative and innovating thinking; Ability to work independently.
Work Environment:
• Summer Internship 2024 (40 hours/week for 12 weeks).
• Ability to work in Akron, OH as position is a hybrid work environment.
The salary range for this opportunity is $18.00-$19.50/hour
. Base pay offered may vary depending on geographic region, internal equity, job related knowledge, skills and experience, among other factors.
Signet Jewelers is an equal opportunity employer committed to promoting diversity of all levels of employees. Please know that while we appreciate every applicant's interest, we can only contact those selected for further consideration.
Business Analyst (Intern)
Data Science Internship Job In Fairview Park, OH
Type of Requisition:
Regular
Clearance Level Must Currently Possess:
None
Clearance Level Must Be Able to Obtain:
None
Public Trust/Other Required:
None
Job Family:
Interns
Job Qualifications:
Skills:
Analytical Thinking, Business, Communication, Data Analysis, Teamwork
Certifications:
None
Experience:
0 + years of related experience
US Citizenship Required:
No
Job Description:
Sponsorship will not be available for this role.
At GDIT, our people are our business. We pride ourselves on the work our innovators do to support and secure some of the most complex government, defense, and intelligence projects across the world. We wouldn't be successful without our ability to attract new talent to join our team.
What sets a GDIT internship experience apart from other organizations in the industry?
GDIT's Summer Internship Program is designed with you in mind! Our internship provides you the opportunity to be a part of a collaborative team that is helping to solve our clients' most challenging matters. Throughout GDIT's 10-week Summer Internship Program, you will have the opportunity to do the following:
Work side-by-side with GDIT professionals delivering work for clients.
Collaborate with a team of peers to research and propose solutions to a current business challenge.
Participate in a mentoring circle led by an early career champion.
Interact with GDIT leaders.
Participate in professional development.
How You'll Make this Internship Opportunity Your Own
Our Business Analysis Internship is designed to make a direct impact on a broad variety of projects and help to co-create and deliver successful solutions to GDIT's clients. As a Business Analyst Intern, you'll play a key part in driving company success by solving complex problems that enable insights into operational performance.
A Day in the Life
Use modeling and analytics to understand how business decisions impact our bottom line
Learn how to leverage new tools and technologies
Collect and analyze information by reviewing databases, interpreting reports, and communicating evaluations with key team members
Produce reporting on an as needed basis (daily, weekly, monthly)
Communicate complex data through comprehensive methods
Calculate and evaluate business metrics to meet ongoing organizational or client informational needs
Assist in the research and assessment of business goals, objectives and needs to align information technology solutions with business initiatives
Assist in planning and designing business processes
Formulate recommendations to improve and support business activities
Various duties that enhance the productivity and procedures of the company
The Must-Haves
Currently enrolled in an associate's, bachelor's or master's degree program in Business Administration, Finance, Statistics, Economics or related discipline from a United States-based college or university or high school (must be over the age of 16)
Basic understanding of Microsoft Office products (e.g., Word, PowerPoint, SharePoint, Excel, and Teams)
What You'll Need to Deliver your best every day
Strong interpersonal and written communication skills.
Ability to build meaningful relationships with manager and members of your team in a remote environment
Must be able to prioritize tasks, be self-aware enough to identify and correct your mistakes, and not be afraid to ask for help when needed
Passion for problem-solving and desire to develop into a strong business leader
Be active in seeking out ways to develop yourself and gain new knowledge personally and professionally.
Intuitiveness with an ability to identify and solve complex problems related to rapidly changing technology
A sense of genuine, intellectual curiosity and a nimble mindset
What you Offer as a Stand-Out Candidate
Previous work experience related to your field of study
Proficiency in Excel, specifically data analysis, pivot tables, VLOOKUP's, and charts
Broad knowledge of project management and data analytics
Analytical and quantitative skills: working with and synthesizing big data into actionable insights
Comfortable using data software to conduct analyses and synthesize findings
GDIT interns are paid and full-time (40 hours/week) for 10 consecutive weeks with starting on June 2024. Applicants should have a minimum of one semester remaining in their studies after their internship concludes. Take the first step and apply today!
Note: We receive a high volume of applications and review them on a rolling basis. We encourage you to apply as soon as possible. Our goal is to follow up with you within two weeks of your application.
#earlytalent
The likely hourly rate for this position is between $21.82 - $25.30. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.
Scheduled Weekly Hours:
40
Travel Required:
Less than 10%
Telecommuting Options:
Hybrid
Work Location:
USA VA Falls Church
Additional Work Locations:
Total Rewards at GDIT:
Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 30 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.We connect people with the most impactful client missions, creating an unparalleled work experience that allows them to see their impact every day. We create opportunities for our people to lead and learn simultaneously. From securing our nation's most sensitive systems, to enabling digital transformation and cloud adoption, our people are the ones who make change real.GDIT is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class.
Data Science Intern (Summer 2025)
Data Science Internship Job In Westfield Center, OH
The Data Science Intern, working under direct supervision, works on predictive models related to real-world insurance problems, leverages data to drive insights, supports decision-making, and contributes to the development of innovative solutions. As a Data Science Intern, you will collaborate with experienced professionals on meaningful projects, hone your technical acumen, refine programming skills, and communication abilities in a supportive and collaborative environment. Throughout the summer, the internship also provides broad exposure and interaction with professionals across the organization giving you a comprehensive view of the company and the property and casualty insurance industry.
#LI-DNI
Data Science Intern (Summer 2025)
Data Science Internship Job In Westfield Center, OH
The Data Science Intern, working under direct supervision, works on predictive models related to real-world insurance problems, leverages data to drive insights, supports decision-making, and contributes to the development of innovative solutions. As a Data Science Intern, you will collaborate with experienced professionals on meaningful projects, hone your technical acumen, refine programming skills, and communication abilities in a supportive and collaborative environment. Throughout the summer, the internship also provides broad exposure and interaction with professionals across the organization giving you a comprehensive view of the company and the property and casualty insurance industry.
#LI-DNI
Must be currently pursuing an advanced degree in Actuarial Science, Computer Science, Data Science, Mathematics, Statistics, or related discipline.
Must have some proficiency in programming languages such as Python, R, or SQL, with a basic understanding of statistical methods.
Strong problem-solving orientation preferred.
Exposure to complex data sets preferred.
For field roles, only: Valid driver's license and a driving record that conforms to company standards.
Location
Hybrid defined as three (3) or more days per week in the office
Behavioral Competencies
Collaborates
Communicates Effectively
Customer Focus
Decision Quality
Nimble Learning
Work closely with data scientists, underwriters, actuaries, or other team members to develop and deliver data-driven insights that enable stakeholders to accomplish business goals.
Seek feedback from supervisors or mentors to actively seek opportunities for improvement and apply learning to enhance performance throughout the internship.
Complete a Data Science project or projects which will be assigned closer to the start of the internship, some typical project scopes include:
Collecting, cleaning, and analyzing large datasets to identify trends, patterns, or correlations relevant to the business
Employing exploratory data analysis
Investigating feature generation
Supporting the development or implementation of predictive models to forecast insurance risks, customer behaviors, or business outcomes, which may involve various model forms and approaches (e.g., Poisson, Tweedie, GLM, GBM, etc.)
Creating clear, concise, and visually appealing reports, dashboards, or presentations that communicate findings and insights to stakeholders or data science leaders
Create thorough documentation of data processes, models, and analyses to ensure transparency and reproducibility.
Participate in department specific opportunities to build connections, receive mentorship, and apply technical acumen in Data Science through on-the-job learning opportunities that enhance knowledge and skills.
Engage in enterprise-wide internship program events and activities designed to enhance professional skills, career readiness, and personal awareness and reflection.
Exhibit professionalism through punctuality, reliability, and a positive attitude, while demonstrating a strong work ethic in fulfilling assigned responsibilities.
Data Analytics Intern (Hybrid)
Data Science Internship Job In Akron, OH
We have many opportunities available on our other career site pages. Click here to link to our careers page! Signet Jewelers is the world's largest retailer of diamond jewelry, operating more than 2,800 stores worldwide under the iconic brands: Kay Jewelers, Zales, Jared, H.Samuel, Ernest Jones, Peoples, Banter by Piercing Pagoda, Rocksbox, JamesAllen.com and Diamonds Direct. We are a people-first company and this core value is at the heart of everything we do, from empowering our valued team members, to collaborating with our customers, to fostering the communities in which we live and serve. People - and the love their actions inspire - are what drive us. We're not only proud of the love we inspire outside our walls, we're especially proud of the diversity, inclusion and equity we're inspiring inside. There are dynamic career paths awaiting you - rewarding opportunities to impact the lives of others and inspire love. Join us!
This role will be responsible for the execution and maintenance of existing and new data analytic workflows to support a holistic audit approach to evaluate Signet's internal control environment.
The Internal Audit Data Analytics Intern exhibits an entrepreneurial mindset with attention to detail, drive to accomplish goals and focus on quality results. This individual has strong communication skills and the ability to multitask working with the internal audit and retail audit teams.
Responsibilities:
* Participate in data analytics related to audits (operational, financial, compliance, integrated), special projects and ad-hoc requests of Signet Management. Assist in the execution of analytics to obtain insights and identify data patterns which are not incompliance with Signet policies and procedures.
* Act as an analytic resource for the internal audit team.
* Performs additional duties and projects as assigned. Consistent regular scheduled attendance is considered an essential function of this job.
Qualifications:
* Pursing a Bachelor Degree in Computer Science, Statistics, Information Technology or related discipline. GPA of 3.0 or above
* Prior Data Analytics or business experience preferred but not required.
* Prior coursework in IT, auditing, analytics or business technology preferred
* Strong oral/written communication and interpersonal skills; Ability to quickly grasp concepts, analyze data and draw conclusions based on sound judgement; Ability to apply creative and innovating thinking; Ability to work independently.
Work Environment:
* Summer Internship 2024 (40 hours/week for 12 weeks).
* Ability to work in Akron, OH as position is a hybrid work environment.
The salary range for this opportunity is $18.00-$19.50/hour. Base pay offered may vary depending on geographic region, internal equity, job related knowledge, skills and experience, among other factors.
Signet Jewelers is an equal opportunity employer committed to promoting diversity of all levels of employees. Please know that while we appreciate every applicant's interest, we can only contact those selected for further consideration.
Actuarial Data Scientist
Data Science Internship Job In Westfield Center, OH
The Data Scientist is responsible for analyzing and interpreting complex data sets using statistical and machine learning techniques to identify trends, patterns, and insights that can be used to inform business decisions and improve organizational performance. The role owns up activities ranging from defining information-rich digital representations of the phenomena and entities of interest, to purposefully designing model-driven solutions from the ground up. The role designs, develops and program methods, processes, and systems to consolidate and analyze unstructured, diverse big data sources to generate actionable insights and solutions for client services and product enhancement. The role also develops and codes software programs, algorithms, and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.
#LI-DNI
3-5 years of experience in Data Analysis, Machine Learning, Statistical Modeling, or a related field.
Bachelor's Degree in Statistics, Computer Science, Information Technology, or any other related discipline, and/or commensurate experience.
Master's degree in related discipline is preferred.
Location
Hybrid defined as three or more days per week in the office.
Behavioral Competencies
Collaborates
Communicates Effectively
Customer Focus
Decision Quality
Nimble Learning
Develops predictive and prescriptive models of moderate complexity to surface insight and drive action and defines success measures and tracks performance of models.
Helps execute a strategy to acquire the data (purchase, partner, generate, collect) and assists in developing a solution prototype in partnership with the small businesses it targets.
Gathers data from disparate sources and ensures data quality (e.g., correlation, detection of outliers, imputation of missing values, data standardization and deduplication) throughout all stages of collection/acquisition, annotation and processing, normalization, and transformation.
Experiments with a variety of machine learning algorithms to build, test, and refine predictive models for restaurant sales, labor, and inventory.
Uses various statistical and machine learning techniques to explore and analyze data which involves identifying patterns and trends in the data and developing insights that can be used to inform business decisions.
Develops monitoring metrics to reflect real-world model performance and make recommendations to shape the future direction of models and digital solutions.
Creates visualizations and other forms of communication that effectively communicate insights and findings to both technical and non-technical audiences.
Works with various stakeholders, including business leaders, engineers, product managers, and data analysts, to identify business problems and develop data-driven solutions.
Collaborates with Product, UX, and the leadership team to understand business requirements and prioritize solution development.
Works with enterprise and solution architects to develop efficient infrastructure for data pipelines and models and supports full deployment of analytic solutions into operational environments.