Data science internship jobs in Lower Merion, PA - 191 jobs
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Data Governance & Metadata Analyst
Pride Health 4.3
Data science internship job in Philadelphia, PA
Pride Health is looking a Data Governance & Metadata Analyst to support our client's medical facility which in Philadelphia, PA (Onsite)
Title :: Data Governance & Metadata Analyst
Duration :: 10 + Month Contract with possibility of extension depends on your performance
Rate :: $70 to 80/hr
Job Summary:
General Description:
We are looking a highly skilled Data Governance & Metadata Analyst to serve as a liaison between technical teams and business stakeholders. This role is responsible for translating complex technical concepts related to metadata, governance, and reporting into clear, business-friendly documentation for the enterprise data catalog (Gene). The ideal candidate will support metadata completeness, advance governance initiatives, and improve transparency across core data domains
Key Responsibilities
Data Documentation & Translation
Interpret and simplify complex technical concepts related to data assets, data lineage, reporting logic, and transformations for inclusion in the enterprise data catalog.
Translate technical data rules into clear, actionable language for business and operational teams.
Consolidate and summarize data rules for core domains (e.g., patient, provider) to ensure easy access for stakeholders.
Create clear, user-friendly documentation explaining complex data processes in business terms.
Define documentation standards and certification processes to ensure data quality and reliability.
Ensure consistency, accuracy, and completeness of metadata and definitions across the data catalog.
Metadata & Catalog Management
Partner with Data Engineering and Data Analytics teams to document core and semantic tables in production.
Identify gaps in existing metadata and collaborate with stakeholders to remediate them.
Support enterprise metric documentation, including:
Identifying and documenting enterprise metrics
Creating frameworks to link related or similar metrics
Retiring or remediating metrics without defined ownership
Data Governance & Compliance
Support data governance initiatives by maintaining transparency and traceability in data documentation.
Collaborate with Research and Privacy teams to document PHI and PII handling guidelines for external data sharing.
Create and maintain data policies for restricted data across the enterprise ecosystem.
Partner with stakeholders to support and operationalize Data Retention policies in alignment with enterprise standards.
Develop artifacts and documentation that make enterprise data initiatives accessible to both technical and business teams.
Ensure governance policies are actionable, consistently applied, and linked to global enterprise policies.
Required Skills & Qualifications
Strong understanding of data management principles, including metadata, data quality, and reporting concepts.
Proven ability to translate technical concepts into clear, concise, business-friendly documentation.
Excellent communication and collaboration skills to work across technical and non-technical teams.
Experience writing high-quality technical and business documentation.
Bachelor's Degree (required).
Benefits
Pride Global offers eligible employees comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance, and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance, and employee discounts with preferred vendors.
Equal Opportunity Employer
As a certified minority-owned business, Pride Global and its affiliates - including Russell Tobin, Pride Health, and Pride Now - are committed to creating a diverse environment and are proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics.
$51k-72k yearly est. 1d ago
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Contracts & Data Analyst
PBF Energy 4.9
Data science internship job in Paulsboro, NJ
PBF Energy Inc. (NYSE:PBF) is one of the largest independent refiners in North America, operating through its subsidiaries, oil refineries and related facilities. We are seeking a talented Contracts & Data Analyst to join our team as a pivotal member that would play a key role here at PBF Energy. This role would be located onsite at our refinery in Toledo, OH or at one of our other locations.
The Contract and Data Analyst plays a key role in supporting the organization's business operations by managing contract lifecycles, contract audits, advanced data analytics, and opportunity identification to drive informed decision-making. This position requires a unique blend of strong contractual expertise, deep analytical capability, and hands-on experience with procurement systems, including the ability to write and modify code to optimize system functionality.
PRINCIPAL RESPONSIBILITIES:
* This position is responsible for reviewing and analyzing spend data, optimizing sourcing strategies, and developing process improvement indicators to enhance contract performance and overall business outcome.
* Work cross-functionally with procurement teams, refinery stakeholders, key suppliers, and other internal partners to ensure data integrity, process efficiency, and strategic alignment throughout all contractual activities.
* Conduct detailed contract audits to verify compliance, validate pricing and terms, and identify risk areas or deviations.
* Maintain accurate contract records and data repositories, ensuring all documentation is current and compliant with internal policies.
* Partner with Legal, Procurement, and business stakeholders to resolve contractual discrepancies and support negotiation strategies.
* Develop advanced analytical models to identify cost-saving opportunities, contract leakage, supplier performance trends, and category insights.
* Perform complex data extraction, transformation, and analysis using tools such as SQL, Python, Power BI, Tableau, or similar platforms.
* Create and maintain dashboards, reports, and data visualizations that support strategic decision-making.
* Develop dashboards and reports to track KPIs, supplier performance, and procurement efficiency.
* Conduct ad-hoc deep-dive analyses on spend, contract utilization, sourcing opportunities, and operational performance metrics.
* Assist in digital transformation efforts related to procurement systems and analytics platforms.
* Support configuration, maintenance, and continuous improvement of procurement platforms (e.g., SAP Ariba, Coupa, Jaggaer, Ivalua).
* Utilize and maintain procurement and analytics tools (e.g., SAP, Power BI, Ariba, or similar) to monitor performance ensuring seamless strategy execution, track savings, and report out on KPIs such as cost avoidance, cycle time, compliance, and supplier performance across the organization.
* Write or modify system code, scripts, and workflows to optimize system performance and automate processes.
* Troubleshoot system issues and collaborate with IT, vendors, and cross-functional teams to resolve root causes.
* Lead or support system enhancement projects, including testing and user training.
* Build detailed cost models and financial analyses to evaluate sourcing scenarios, total cost of ownership, contract proposals, and supplier offerings.
* Conduct opportunity assessments across multiple categories, identifying efficiency improvements, cost reduction initiatives, and value-creation levers.
* Develop business cases and present findings to leadership to support strategic decisions.
* Support sourcing initiatives with data-driven insights and cost-benefit analyses.
* Work with internal stakeholders to define procurement requirements and ensure contract compliance.
* Collaborate with suppliers to resolve issues, negotiate terms, and ensure service level expectations are met.
* Assist in supplier evaluations and performance reviews based on contractual obligations and performance data.
* Identify opportunities to streamline procurement processes and improve contract workflows.
* Support the development and implementation of procurement policies, tools, and best practices.
* Evaluating internal stakeholder feedback and implementing changes to enhance the category services.
* Build strong relationships with internal stakeholders, driving supplier development, innovation, and value creation while maintaining accountability for safety, quality, and performance.
* Stay abreast of industry trends, emerging technologies, and macroeconomic factors (e.g., tariffs, inflation, labor shortages) that may impact supply markets and sourcing strategies to provide recommendations to senior management.
* Provide input to annual category planning, budget forecasting, and strategic supplier reviews with senior leadership.
QUALIFICATIONS:
* Bachelor's degree in Business Analytics, Supply Chain, Finance, IT or a related field or equivalent Procurement Contracting/Purchasing experience.
* Strong proficiency in Microsoft Excel and data visualization tools
* Familiarity with procurement or ERP systems (e.g., SAP, Oracle, Coupa, Ariba)
* 3 plus years of experience in contract administration, procurement analysis, or data analytics (experience in industrial, manufacturing, or energy sectors preferred).
* Demonstrated expertise in advanced analytics, financial modeling, and data interpretation.
* Experience supporting sourcing or category management initiatives through data-driven insights.
* Strong understanding of contract management principles, procurement policies, and supplier performance metrics.
* Ability to analyze large data sets to identify trends, risks, and cost-saving opportunities
* Experience working in a centrally led procurement model with enterprise-wide scope
* Ability to conduct market research.
* Flexibility to adapt to the changing market and organizational priorities.
* Excellent communication and negotiation skills to collaborate effectively with cross-functional teams and external stakeholders.
* Strong analytical skills with attention to detail, system-savvy, ability to transform complex data into actionable business insights that drive cost savings and process improvement preferred
* Proficiency in data management and visualization tools,
* Willingness and ability to travel up to 25% of the time to support operations across multiple facilities in the U.S.
This position is on site 5 days a week.
ONLY CANDIDATES MEETING THE ABOVE REQUIREMENTS WILL BE CONSIDERED
FOR SERIOUS CONSIDERATION, PLEASE INCLUDE YOUR SALARY REQUIREMENTS
CA Job Posting Requirement: The salary range for this position is $72,815.60- $124,989.84.
NJ Job Posting Requirement: The salary range for this position is $72,815.60- $116,172.65.
The compensation range listed in this posting is in compliance with applicable state law. Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills and internal peer equity will be considered in determining the selected candidate's compensation. Salaries at the time of hire are typically in the lower to middle portion of the above range in order to provide the opportunity to reflect future performance-based increases. In addition to salary, PBF offers a comprehensive benefits package which includes bonus eligibility, health care, retirement benefits, and paid time off.
We thank all respondents for their interest in PBF Holding Company LLC ("PBF Energy"), however, only those selected for an interview will be contacted. Please no phone calls or emails to any employee of PBF Energy about this requisition. Placement agencies or recruiters need not respond. All resumes submitted by search firms to any employee of PBF Energy via email, the Internet or in any method without a valid written search agreement will be deemed the sole property of PBF Energy. No fee will be paid in the event the candidate is hired by PBF Energy as a result of the referral or through other means.
PBF Energy is an equal opportunity employer. We are committed to creating a diverse, inclusive environment. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, sex, gender, gender identity or expression, sexual orientation, reproductive health decision making, national origin, ancestry, genetic information, physical or mental disability, medical condition, marital status, age, veteran and military status, or any other status protected by applicable law. We are committed to providing reasonable accommodations as required by law.
#LI-EG1
$72.8k-125k yearly Auto-Apply 11d ago
Data Science Internship, 2026
Perpay-Career's Page
Data science internship job in Philadelphia, PA
Job Description
About Us:
Perpay is a certified B Corp and Philadelphia's most impactful growth-stage startup. We are driven by a mission to significantly improve the financial stability of everyday Americans. For the past decade, we have established strong product-market fit and a profitable, efficient operating model across a suite of products, positioning Perpay as the premier financial partner for consumers with subprime credit.
With over 500,000 customers who have utilized more than $1 billion in spending power, we are at a pivotal moment. We are scaling our operations, building new offerings, and deepening our impact. We are looking for teammates eager to join us on this journey.
Our venture partners include First Round Capital and L Catterton.
Products we've built to make an impact:
Perpay Marketplace: Combines interest-free payments and modern e-commerce to reduce cost of ownership and promote healthy repayment behavior.
Perpay+: Leverages Marketplace repayment history to help members monitor and build credit with all 3 credit bureaus.
Perpay Credit Card: Expands access to the flexibility and benefits of a World Mastercard by removing common barriers like high security deposits and low approval odds.
Our team thrives on in-person collaboration, operating from our unique center-city Philadelphia office. This comfortable "home away from home" space offers river views and fosters rapid product development, strong relationships, and career growth. The energy from achieving big wins is palpable here. While we primarily work in the office, we offer sensible flexibility for personal needs, such as sick children or urgent errands, and coordinate official remote weeks around major holidays. If you are passionate about a meaningful mission, collaboration, equity, and generous perks, Perpay is the best place to be in Philadelphia right now.
About the Role:
As an intern at Perpay, your main responsibility is to learn. We understand the value of mentorship and offer students an opportunity to gain real work experience before graduation. In the 10-12 weeks we'll be together next summer (2026), you will have the opportunity to leverage our expansive data sets to research, identify and build features to train models and drive real impact. Applying your knowledge of topics such as modeling, statistical methodologies, and exploratory data analysis you will partner with business leaders and communicate solutions designed to drive company growth. You will also have the opportunity to think proactively and futuristically to identify opportunities to contribute to our long-term roadmap for DataScience. All while developing the skills to succeed in a fast-paced tech start-up environment and experiencing and contributing to our unique culture.
Our greatest strength is our people and we'd love for you to be one of them!
What You'll Bring:
Currently enrolled in or will receive a Bachelor's in DataScience, Computer Science, Computer Engineering, Information Systems or an equivalent technical discipline with an expected graduation date between winter 2026 - summer 2027
Knowledge of machine learning and statistical research
Experience using SQL for acquiring and transforming data
Proficient in programming, analysis and visualization using object-oriented programming languages (Python preferred)
Experience with object-oriented programming languages (Python preferred))
Bonus:
Enrolled in a Master's Degree or advanced technical degree
Previous work experience in a technical field
Experience with implementing machine learning solutions to production environments
Understanding of modern scalable datascience platforms
Hey,
we know not everybody checks all the boxes, so if you're interested, please apply because you could be just what we're looking for!
What We'll Bring For Internship:
Hourly compensation
Espresso bar, full kitchen, weekly catered lunches, snacks, beverages, & everyday lunch essentials
One of a kind office with comfortable work/lounge spaces and pleasant riverfront setting
Opportunity to gain experience at one of the fastest-growing financial startups in the country in both e-commerce & fintech working cross functionally.
What We'll Bring to Full-time Team Members:
Meaningful compensation and equity
Premium medical benefits (fully paid base plan, and very reasonable premium for the buy-up option)
4% employer 401k match
Unlimited PTO policy
Remote weeks around major holidays + extra holiday on weekends like MDW and LDW
High quality catered lunch by local chefs, 3 days / week
Gym subsidy
Paid cell phone + plan
Student loan repayment program
Relocation assistance
Generous team member discounts
This is not a remote opportunity; it is 100% onsite (#LI-Onsite) (#LI-TH1) (#LI-AK1)
Perpay is proud to be an equal opportunity employer. We value diversity in all its forms and are committed to creating an inclusive environment. We do not discriminate on the basis of race, religion, color, national origin, gender identity, sexual orientation, sex (including pregnancy), marital status, political affiliation, age, veteran status, disability status or other non-merit factor. Please contact us at careers@perpay.com to request accommodation.
$43k-77k yearly est. 17d ago
Data Science Internship, 2026
Perpay
Data science internship job in Philadelphia, PA
About Us:
We believe everyone deserves a chance to improve their financial future. We're dedicated to building simple and inclusive financial products that help our members create healthy habits and achieve economic stability.
The Perpay team is a motivated group of creative problem solvers who love getting things done and making an impact. Located in Center City, Philadelphia, our one-of-a-kind space promotes a collaborative work environment, unites our team, and feels like a home away from home. As a certified B Corp, Perpay is committed to building a mission-driven culture that balances purpose and performance - Learn more.
Some things we're excited about:
$500 million in spending power used by our members
Increasing members' credit by 32 points (on average) within the first 3 months
Backed by First Round Capital and JP Morgan
Products we've built to make an impact:
Perpay Marketplace: Combines interest-free payments and modern e-commerce to reduce cost of ownership and promote healthy repayment behavior.
Perpay+: Leverages Marketplace repayment history to help members monitor and build credit with all 3 credit bureaus.
Perpay Credit Card: Expands access to the flexibility and benefits of a World Mastercard by removing common barriers like high security deposits and low approval odds.
About the Role:
As an intern at Perpay, your main responsibility is to learn. We understand the value of mentorship and offer students an opportunity to gain real work experience before graduation. In the 10-12 weeks we'll be together next summer (2026), you will have the opportunity to leverage our expansive data sets to research, identify and build features to train models and drive real impact. Applying your knowledge of topics such as modeling, statistical methodologies, and exploratory data analysis you will partner with business leaders and communicate solutions designed to drive company growth. You will also have the opportunity to think proactively and futuristically to identify opportunities to contribute to our long-term roadmap for DataScience. All while developing the skills to succeed in a fast-paced tech start-up environment and experiencing and contributing to our unique culture.
Our greatest strength is our people and we'd love for you to be one of them!
What You'll Bring:
Currently enrolled in or will receive a Bachelor's in DataScience, Computer Science, Computer Engineering, Information Systems or an equivalent technical discipline with an expected graduation date between winter 2026 - summer 2027
Knowledge of machine learning and statistical research
Experience using SQL for acquiring and transforming data
Proficient in programming, analysis and visualization using object-oriented programming languages (Python preferred)
Experience with object-oriented programming languages (Python preferred))
Bonus:
Enrolled in a Master's Degree or advanced technical degree
Previous work experience in a technical field
Experience with implementing machine learning solutions to production environments
Understanding of modern scalable datascience platforms
Hey,
we know not everybody checks all the boxes, so if you're interested, please apply because you could be just what we're looking for!
What We'll Bring For Internship:
Hourly compensation
Espresso bar, full kitchen, weekly catered lunches, snacks, beverages, & everyday lunch essentials
One of a kind office with comfortable work/lounge spaces and pleasant riverfront setting
Opportunity to gain experience at one of the fastest-growing financial startups in the country in both e-commerce & fintech working cross functionally.
What We'll Bring:
Competitive salary + company equity
401k with company match
Medical / Dental / Vision insurance
Flexible Spending Account (FSA)
Team member discounts
Relocation assistance
Pre-tax commuter benefit
Student loan repayment match
Gym subsidy with City Fitness
Cell phone plan
Paid parental leave
Unlimited PTO
Additional Perks:
Opportunity to gain experience at one of the fastest-growing financial startups in the country
Work on both e-commerce & fintech customer-facing products
Collaborate cross-functionally with product, design, marketing, operations, data teams, and more
This is not a remote opportunity; it is 100% onsite (#LI-Onsite) (#LI-TH1) (#LI-AK1)
Perpay is proud to be an equal opportunity employer. We value diversity in all its forms and are committed to creating an inclusive environment. We do not discriminate on the basis of race, religion, color, national origin, gender identity, sexual orientation, sex (including pregnancy), marital status, political affiliation, age, veteran status, disability status or other non-merit factor. Please contact us at ****************** to request accommodation.
$43k-77k yearly est. Auto-Apply 60d+ ago
Data Analyst
Artech Information System 4.8
Data science internship job in Philadelphia, PA
Artech is the 10th Largest IT Staffing Company in the US, according to Staffing Industry Analysts' 2012 annual report. Artech provides technical expertise to fill gaps in clients' immediate skill-sets availability, deliver emerging technology skill-sets, refresh existing skill base, allow for flexibility in project planning and execution phases, and provide budgeting/financial flexibility by offering contingent labor as a variable cost.
Job Description
The Software Data Analyst will be joining the Team, builder of an enterprise-wide cloud-based software platform providing the core content navigation and discovery services,customer facing web, mobile, and set top box applications.
These services include content metadata management, data quality, search, browse, recommendations, customer entitlements, customer identity and authentication, personalization and voice recognition/control.
The Software Engineer will specifically be joining the triage group to field issues involving content from a customer perspective and internal teams. T
They will ensure data is accurate and either resolve or escalate any issues.
1) The main thing is finding a resource who is passionate about technology and likes to learn.
2) Any experience with "data" is preferred - quality, analysis, scrubbing, finding defects, trends, etc.
3) Problem solving ability is key - their thought process on how they think through a problem.
4) Analytical skills - like to figure out how stuff works, reverse engineering, or just a plain old "figure it out" attitude.
Job Details:
• Supports triage of code defects and cross-team evaluation of current trends in process deficiencies
• Work with developers to ensure issues are escalated to the correct teams for resolving
• Troubleshooting data issues related to on-screen content
• Finding the root-cause of issues through internal teams that affect customer applications
• Improving overall customer experience
Qualifications
Required Skills:
(3-5 years)
• SQL knowledge is a plus
• Basic UNIX or Linux skills - understanding command line are a plus
• Excellent communication and problem solving skills
• Experience in a production support environment preferred
• Basic scripting - Python, Perl, or PHP experience is preferred
•Communication, Problem Solving, Data Querying
•Production Support experience is a plus, however really what client need is a bright person who can intelligently / efficiently speak the language of both the end user and the developer.
Additional Information
For More information, Contact:
Siva Kumar
************
****************************
$66k-92k yearly est. Easy Apply 60d+ ago
JUNIOR MARKET DATA RESOURCE
Alpha Technologies Usa 4.1
Data science internship job in Wilmington, DE
Search for folks with 3-5 year experience with Good Excel skills - Pivot Tables etc. · License management · Inventory management · Tracking · Some exposure to Market data and IB is a huge plus · Must be Local - DE, PA, NJ and nearby Additional Information Send me your resumes at vince@alphait. us
Pozdrawiam / With best regards,
Alpha Technologies Inc (USA)
Vince Taylor
Sr Technical Recruitment Specialist
$58k-80k yearly est. 16h ago
Data Analyst
Tata Consulting Services 4.3
Data science internship job in Philadelphia, PA
Must Have Technical/Functional Skills * Strong experience in SQL and working with relational databases (e.g., SQL Server, PostgreSQL). * Proven ability to analyze complex stored procedures and extract business logic. * Experience creating source-to-target mappings and data flow documentation.
* Solid understanding of financial and actuarial data, including claims, premiums, reserves, and forecasts.
* Familiarity with data quality frameworks and issue resolution techniques.
* Excellent analytical, problem-solving, and communication skills.
* Ability to work independently and manage tasks in a remote, distributed team environment.
Roles & Responsibilities
* Analyze and understand existing stored procedures to reverse engineer business logic and data flows.
* Create and maintain Source-to-Target Mapping (STTM) documents for data integration and transformation processes.
* Investigate and resolve data quality issues, including root cause analysis and recommendations.
* Perform data profiling and validation to ensure accuracy and completeness of financial and actuarial datasets.
* Collaborate with data modelers, developers, and business analysts to support data requirements and reporting needs.
* Document business rules, data definitions, and transformation logic clearly and accurately.
* Participate in daily stand-ups or sync meetings during onshore-offshore overlap hours.
TCS Employee Benefits Summary:
* Discretionary Annual Incentive.
* Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
* Family Support: Maternal & Parental Leaves.
* Insurance Options: Auto & Home Insurance, Identity Theft Protection.
* Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
* Time Off: Vacation, Time Off, Sick Leave & Holidays.
* Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Salary Range : $105,000-$125,000 a year
$105k-125k yearly 13d ago
PXT (People Experience & Technology) - Data Scientist Associate
JPMC
Data science internship job in Wilmington, DE
Join us to shape the future of data strategy and governance. As part of our team, you'll drive impactful data initiatives, support career growth, and collaborate with experts to deliver innovative solutions.
As a Data Scientist Associate in the PXT (People Experience & Technology) Data Strategy team, you will develop and maintain data architecture, standardized definitions, and comprehensive metadata. You will help ensure data quality, integrity, and compliance, supporting integration and migration efforts. You'll work closely with business and technical partners, fostering a collaborative and inclusive team culture.
You will act as a subject matter expert for assigned data domains, document data lineage, and support the industrialization of data processes. Your work will enable data discoverability, understanding, and governance across the organization.
Job Responsibilities
Develop and maintain standardized data definitions and comprehensive metadata for assigned data sources
Analyze data sets to identify quality issues and implement effective cleansing strategies
Create and document detailed data lineage, ensuring traceability between data fields and sources
Build and maintain high-quality metadata to enable data discoverability, understanding, and governance
Support data integration and migration efforts as part of the industrialization process
Ensure data quality, integrity, and compliance with governance policies within assigned domains
Act as subject matter expert for assigned data domains
Required Qualifications, Capabilities, and Skills
Three years in data management, data engineering, data scientist or related roles
Strong analytical, data profiling, and problem-solving skills; able to identify and resolve data quality issues
Proven ability to create, document, and maintain high-quality metadata and data lineage for complex data sets
Technically proficient in data management tools, data governance, quality assurance, lifecycle management, and data integration
Experience with data security, privacy regulations, and data-driven decision-making
Excellent communication and documentation skills; able to translate complex data insights into actionable recommendations and clear reports
Collaborative team player with experience working across business and technical stakeholders
Strategic thinking and adaptability; able to align data initiatives with business goals and adjust to changing priorities
Experience driving process improvements and optimizing data workflows
Preferred Qualifications, Capabilities, and Skills
Experience with advanced data visualization platforms
Experience in financial services or similar regulated industries
Experience with data cataloging and data discoverability platforms
$78k-110k yearly est. Auto-Apply 60d+ ago
Consumer Data Assurance Analyst (US)
TD Bank 4.5
Data science internship job in Mount Laurel, NJ
Mount Laurel, New Jersey, United States of America **Hours:** 40 **Pay Details:** $91,000 - $136,240 USD TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.
As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.
**Line of Business:**
Data & Analytics
**Job Description:**
The Consumer Data Assurance Analyst (US) provides business technical leadership across a broad range of information management functions to support the various areas of data and analytics. Works independently as a senior lead and may manage and direct activities related to analysis, design and support of business data management solutions on various projects ranging up to larger projects.
**Depth & Scope:**
+ Highly seasoned professional role requiring substantial knowledge / expertise in a complex field and knowledge of broader related areas
+ Requires master level conceptual expertise and knowledge for own area of specialty / domain and knowledge of broader related areas
+ Primary subject matter expert in multiple areas and consults with clients/or project teams with respect to all aspects of business information management processes and procedures
+ Expert level analytical and problem solving skills and fluent in multiple programming language
+ Works autonomously as a senior/lead on a diverse range of tasks and is relied upon to coach/ educate others
+ Manages and directs activities related to analysis, design and support of business information management solutions
+ In-depth expertise or experience with big data solutions and familiarity with big data technologies
+ Keeps abreast of rapid business and technology innovation within business information management field
+ Familiar with visualization tools
+ Analyzes, designs, develops data repositories, warehouses and marts, data movement, data wrangling, data mapping and transformation (ETL) processes
+ Supports solutions, applications, platforms, and/or tools that are leveraged across all functional groups (e.g., Data Scientists, Business Insights & Analytics, etc.)
+ May also be responsible for developing sophisticated data preparation frameworks and architecture to create or modify data features for consumption by Data Scientists
+ Supports data modeling capabilities in order to structure business data to be consumed / translated into a variety of novel capacities
+ Supports business teams in the use and understanding of the data and reporting solutions
+ Develops data road map/information management strategies and corresponding technical solutions on integrating, transforming, and/or managing data
+ Drives data-centric solution development focusing on complex data integration
+ Adopts the Enterprise Data model in alignment with direction from the OCDO and other data & analytics functional groups
+ Solicits, analyzes, and understands data requirements (i.e., using market research, requirements gathering, feature planning, user experience / design considerations, etc.) to enable development of information management solutions
**Education & Experience:**
+ Undergraduate degree or Technical Certificate
+ 7+ years of relevant experience from a business administration, statistical, mathematical, scientific or financial background
+ Advanced knowledge of various data sources, tools and technologies used in preparing summaries and reports
+ Analytical and problem solving skills are required to interpret data and draw conclusions
+ Knowledge of current and emerging competitor and market trends
+ Skill in using analytical software tools, data analysis methods and reporting techniques
+ Skill in mentoring/coaching others
+ Skill in using computer applications including MS Office
+ Ability to communicate effectively in both oral and written form
+ Ability to work collaboratively and build relationships
+ Ability to work successfully as a member of a team and independently
+ Ability to exercise sound judgement in making decisions
+ Ability to analyze, organize and prioritize work while meeting multiple deadlines
+ Ability to handle confidential information with discretion
+ Ability to contribute to strategic direction of the function and provide advice to senior leadership
**Customer Accountabilities:**
+ Analyzes and understand business and data requirements to develop complete business solutions, including data models (entity relationship diagrams, dimensional data models) and business rules, data life-cycle management, governance, lineage, metadata and reporting elements.
+ Applies automation and innovation on data platforms and on-going on any new development projects / initiatives aligned to business or organizational strategies
+ Designs and implements complex business data information management frameworks to provide a solution that meets business requirements
+ Collaborates with technology and business partners to resolve issues and ensure requirements and established SLAs
+ Works closely with various technology/project teams to understand business data and provide analysis and requirements to ensure the data design / development initiatives are in line with the planned design and standards
**Shareholder Accountabilities:**
+ Works with other various partners/ stakeholders to ensure project success
+ Develops business requirements by researching / analyzing and documenting business data requirements
+ Provides expert guidance within projects and other various change initiatives to support data impact assessments and data risk mitigation
+ Implements processes aligned to data information management standards and ensure data quality (e.g., rules / thresholds / assessments, etc.) and requirements are developed
+ Develops and maintains knowledge of data available from upstream sources and data within various platforms
+ Identifies critical data / critical data elements to support Business Segment data governance and/or data management frameworks / programs
+ May be responsible to understand and utilize business information management data deliverables
+ Ensures business data and information is retained and disposed in compliance with enterprise data standards, policies and guidelines
+ Performs data profiling using TD tooling and ad hoc system query languages to validate data analysis
+ Provides support throughout data lifecycle to resolve data issues and support user community by helping users interpret the data
+ Leads the investigation of root causes for data issues and ensure data issues are resolved
+ Identifies and/or defines knowledge transfer and data expertise activities to support business teams using the information management solutions.
+ Adheres to enterprise frameworks or methodologies that relate to data activities for business area
+ Ensures business operations follow applicable internal and external requirements (e.g. financial controls, segregation of duties, transaction approvals and physical control of assets)
+ Participates in cross-functional / enterprise / initiatives as a subject matter expert helping to identify risk / provide guidance for complex situations
+ Conducts meaningful analysis at the functional or enterprise level using results to draw conclusions, make recommendations, assess the effectiveness of programs/ policies/ practices
+ Keeps abreast of emerging issues, trends, and evolving regulatory requirements and assess potential impacts
+ Maintains a culture of risk management and control, supported by effective processes in alignment with risk appetite
**Employee/Team Accountabilities:**
+ Participates fully as a member of the team, support a positive work environment that promotes service to the business, quality, innovation and teamwork and ensure timely communication of issues/ points of interest
+ Provides industry knowledge for own area of expertise and participate in knowledge transfer within the team, and business unit, and/or cross-functional groups or committees (e.g., Data Councils)
+ Keeps current on emerging trends/ developments and grow knowledge of the business, related tools and techniques
+ Participates in personal performance management and development activities, including cross training within own team
+ Keeps others informed and up-to-date about the status / progress of projects and / or all relevant or useful information related to day-to-day activities
+ Contributes to team development of skills and capabilities through mentorship of others, by sharing knowledge and experiences and leveraging best practices.
+ Leads, motivates and develops relationships with internal and external business partners / stakeholders to develop productive working relationships.
+ Contributes to a fair, positive and equitable environment that supports a diverse workforce
+ Acts as a brand ambassador for your business area/function and the bank, both internally and/or externally
**Physical Requirements:**
Never: 0%; Occasional: 1-33%; Frequent: 34-66%; Continuous: 67-100%
+ Domestic Travel - Occasional
+ International Travel - Never
+ Performing sedentary work - Continuous
+ Performing multiple tasks - Continuous
+ Operating standard office equipment - Continuous
+ Responding quickly to sounds - Occasional
+ Sitting - Continuous
+ Standing - Occasional
+ Walking - Occasional
+ Moving safely in confined spaces - Occasional
+ Lifting/Carrying (under 25 lbs.) - Occasional
+ Lifting/Carrying (over 25 lbs.) - Never
+ Squatting - Occasional
+ Bending - Occasional
+ Kneeling - Never
+ Crawling - Never
+ Climbing - Never
+ Reaching overhead - Never
+ Reaching forward - Occasional
+ Pushing - Never
+ Pulling - Never
+ Twisting - Never
+ Concentrating for long periods of time - Continuous
+ Applying common sense to deal with problems involving standardized situations - Continuous
+ Reading, writing and comprehending instructions - Continuous
+ Adding, subtracting, multiplying and dividing - Continuous
The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties and skills required. The listed or specified responsibilities & duties are considered essential functions for ADA purposes.
**\#LI-AMCBOther**
**Who We Are:**
TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.
TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you've got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we're here to support you towards your goals. As an organization, we keep growing - and so will you.
**Our Total Rewards Package**
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical and mental well-being goals. Total Rewards at TD includes base salary and variable compensation/incentive awards (e.g., eligibility for cash and/or equity incentive awards, generally through participation in an incentive plan) and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off (including Vacation PTO, Flex PTO, and Holiday PTO), banking benefits and discounts, career development, and reward and recognition. Learn more (***************************************
**Additional Information:**
We're delighted that you're considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we're committed to providing the support our colleagues need to thrive both at work and at home.
**Colleague Development**
If you're interested in a specific career path or are looking to build certain skills, we want to help you succeed. You'll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD - and we're committed to helping you identify opportunities that support your goals.
**Training & Onboarding**
We will provide training and onboarding sessions to ensure that you've got everything you need to succeed in your new role.
**Interview Process**
We'll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.
**Accommodation**
TD Bank 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, age, disability, status as a protected veteran or any other characteristic protected under applicable federal, state, or local law.
If you are an applicant with a disability and need accommodations to complete the application process, please email TD Bank US Workplace Accommodations Program at *************** . Include your full name, best way to reach you and the accommodation needed to assist you with the applicant process.
Federal law prohibits job discrimination based on race, color, sex, sexual orientation, gender identity, national origin, religion, age, equal pay, disability and genetic information.
$91k-136.2k yearly 10d ago
Data Analyst/Programmer
Delaware County Intermediate Unit 4.2
Data science internship job in Morton, PA
The job of Data Analyst/Programmer was established for the purpose/s of providing support in all aspects of Child Accounting and PIMS to DCIU and/or DCTS and district personnel. Keeping student information up to date and accurate for billing, compliance, state and federal reporting purposes. Creating, maintaining, and supporting various databases, multiple software applications and writing custom reports utilized by the organization.
ESSENTIAL FUNCTIONS
* Compile and maintain a wide variety of information, files and records (e.g. enrollment process; instructional schedules; year-end roll-over of related systems, grading, attendance, etc.) for the purpose of ensuring the availability of documentation and compliance with established policies and regulatory guidelines.
* Communicate with internal and external clients for the purpose of understanding and resolving client needs and issues.
* Coordinate all database activities (e.g. Student Information, Applications, Enrollment, Parent Portal, Scheduling, Attendance, Grading, PIMS, PaSecureID, etc.) for the purpose of tracking participation, compliance and issues.
* Perform other related duties as assigned (e.g. analyzing and problem solving daily) for the purpose of ensuring the efficient and effective functioning of the work unit.
* Maintains a variety of systems and processes (e.g. Student Information System, Special Education System, Application System, Parent Portal, Scheduling, Grading, PIMS, etc.) for the purpose of ensuring accuracy.
* Develop web-based data collection tools and training materials for various processes (e.g. PIMS, Enrollment, Scheduling, etc.) for the purpose of collecting data in a consistent manner throughout the organization.
* Work with outside vendors to coordinate software releases, training and updates for the purpose of keeping software up to date and compatible with our network.
* Design custom reports and new databases to meet users' needs and support the organization.
* Maintain modify, and support various databases (e.g. School Age, Early Intervention, Options, etc.) for the purpose of keeping them current and applicable for the intermediate unit.
* Work with outside vendors to coordinate software releases, training and updates for the purpose of keeping software up to date and compatible with our network.
* Attend user group meetings and state conferences (e.g. ACAPA, EPAITDM, etc.) for the purpose of keeping current on state requirements.
* Research assigned topics (e.g. current practices, policies, education codes, etc.) for the purpose of providing information that address school operations.
* Provide orientation, train, mentor and support departments regarding procedures and program requirements (e.g. software and concepts; databases; daily activities) for the purpose of ensuring efficient processing in compliance within department and district policy and established regulatory guidelines.
* Create and maintain user accounts/access to various systems/platforms.
* The employee will be required to perform any other position-related duties requested by the supervisor.
Education Required: Associates and/or Vocational School degree with study in job related area or equivalent work experience.
Certification Required: Successful completion of PIMS DQC Track by the end of the 1st year of employment.
Prefer:
* Entry Level PIMS Administrator DQC Certificate
* Bachelor's degree in information technology or related area is preferred
Experience Required
* Excellent verbal communication and problem-solving skills.
* Minimum of two (2) years of related experience.
* Computer skills including Microsoft Word, Excel, Outlook, and Internet.
* Interpersonal skills: ability to foster teamwork and motivate/coach others.
* Make optimum decisions under pressure and time constraints.
Other Qualifications
* Teamworking skills to collaborate with team members and customers.
* Time management and organizational skills to manage various tasks and meet a deadline.
* Excellent attention to detail.
* Ability to relate to and function effectively with people of varying backgrounds and positions.
* Ability to communicate effectively and possess a positive and professional attitude toward duties
and responsibilities.
$43k-51k yearly est. 12d ago
PXT (People Experience & Technology) - Data Scientist Associate
Jpmorgan Chase & Co 4.8
Data science internship job in Wilmington, DE
JobID: 210678919 JobSchedule: Full time JobShift: Day Base Pay/Salary: Jersey City,NJ $114,000.00-$170,000.00 Join us to shape the future of data strategy and governance. As part of our team, you'll drive impactful data initiatives, support career growth, and collaborate with experts to deliver innovative solutions.
As a Data Scientist Associate in the PXT (People Experience & Technology) Data Strategy team, you will develop and maintain data architecture, standardized definitions, and comprehensive metadata. You will help ensure data quality, integrity, and compliance, supporting integration and migration efforts. You'll work closely with business and technical partners, fostering a collaborative and inclusive team culture.
You will act as a subject matter expert for assigned data domains, document data lineage, and support the industrialization of data processes. Your work will enable data discoverability, understanding, and governance across the organization.
Job Responsibilities
* Develop and maintain standardized data definitions and comprehensive metadata for assigned data sources
* Analyze data sets to identify quality issues and implement effective cleansing strategies
* Create and document detailed data lineage, ensuring traceability between data fields and sources
* Build and maintain high-quality metadata to enable data discoverability, understanding, and governance
* Support data integration and migration efforts as part of the industrialization process
* Ensure data quality, integrity, and compliance with governance policies within assigned domains
* Act as subject matter expert for assigned data domains
Required Qualifications, Capabilities, and Skills
* Three years in data management, data engineering, data scientist or related roles
* Strong analytical, data profiling, and problem-solving skills; able to identify and resolve data quality issues
* Proven ability to create, document, and maintain high-quality metadata and data lineage for complex data sets
* Technically proficient in data management tools, data governance, quality assurance, lifecycle management, and data integration
* Experience with data security, privacy regulations, and data-driven decision-making
* Excellent communication and documentation skills; able to translate complex data insights into actionable recommendations and clear reports
* Collaborative team player with experience working across business and technical stakeholders
* Strategic thinking and adaptability; able to align data initiatives with business goals and adjust to changing priorities
* Experience driving process improvements and optimizing data workflows
Preferred Qualifications, Capabilities, and Skills
* Experience with advanced data visualization platforms
* Experience in financial services or similar regulated industries
* Experience with data cataloging and data discoverability platforms
$114k-170k yearly Auto-Apply 60d+ ago
Fraud Data Analyst (onsite)
American Heritage Credit Union 4.3
Data science internship job in Trevose, PA
Job Description
American Heritage Credit Union, a $5+ billion credit union, has an immediate opening for a Fraud Data Analyst.
This position will assist the Enterprise Risk and Compliance team in preventing fraud and managing losses to mitigate their effects on the credit union and its members. Provide analytic and project support to the ERM department for the advancement of controls and mitigation of risk by organizing, analyzing, and drawing conclusions from volumes of data to identify fraud trends by leveraging multiple technologies and working across verticals to help design mitigation strategies.
Responsibilities Include:
Delve into production data to produce, maintain, and curate metrics and reports for the Fraud team to implement strategies to combat fraud.
Review system-generated triggers for potentially fraudulent activity on members' accounts as well as credit and debit cards.
Perform detailed research and investigation on alerts that are generated for potential fraud schemes.
Work closely with variety of cross-functional teams to analyze suspicious activity and provide mitigation recommendations.
Build and maintain tools and/or processes to collect and track data and troubleshoot errors.
Develop and maintain processes and documentation to ensure best practices for fraud identification, escalation, and mitigation are effectively adhered to and communicated.
Develop, maintain, and publish periodic Key Performance Indicators (critical metrics) for the Fraud Program.
Leverage data to understand fraudulent behavior, identify trends that indicate elevated risk, and report to appropriate team and management.
Use relational database queries and spreadsheets to quickly analyze, manipulate, and visualize small to large datasets to guide fraud and risk policy discussions.
Conduct research, work independently, and make complex investigation decisions.
Develop strategies for the prevention and/or detection of internal and external fraud.
Support development of new fraud tools, processes, and third-party provided services.
Work closely with third-party providers to promptly implement, update, and make changes to fraud preventive rules.
Interpret data, analyze results using analytics, research methodologies, and statistical techniques.
Prepare, analyze, and summarize various weekly, monthly, and periodic operational results for use by various key stakeholders by creating reports, specifications, instructions, and flowcharts.
Conduct full lifecycle of analytics projects, including pulling, manipulating, and exporting data from project requirement documentation to design and execution.
Respond to fraud alerts by notifying members, restricting cards or other account privileges, and closing accounts.
Investigate claims of fraud against the member and credit union by following governing regulations, policies, and procedures when gathering evidence and information.
Assist with subpoenas and legal requests and provide timely and accurate evidence to law enforcement agencies.
Assist with the processing of fraudulent items by gathering information and presenting documentary evidence in an accurate and timely manner; Work with members to define and eliminate future fraudulent transactions.
Assist the ERM team with the timely preparation of Fraudulent Check Crime Reports, Bad Check Reports, and Fraudulent Credit Card Reports.
Assist with performing collection activities as needed on suspected or potentially fraudulent accounts; Track losses resulting from fraudulent transactions within the case management system.
Assist the ERM team with any investigations requested at the direction of the AVP of Fraud Investigations.
At the direction of the AVP of Fraud Investigations, assist branch staff and other departments throughout the credit union with resolving questionable activity on member accounts.
Assist with implementing corrective action procedures as necessary to ensure compliance with policies and procedures and to avoid future compliance issues.
Participate in establishing and maintaining professional business relationships with regulatory agencies, auditors, appraisers, and business associates including legal and law enforcement.
Assist with prompt resolution of complaints, questions, and problems.
Maintain awareness of new fraud techniques and security developments for counteracting fraud.
Remain informed of trends and developments in loss and fraud issues and loan reviews.
QUALIFICATIONS:
One to three years of similar or related experience using advanced data mining tools and large datasets, performing statistical analysis, and conducting predictive modeling.
Financial institution experience and industry knowledge required.
Equivalent to a college degree (BS or BA) preferably in a quantitative field (Finance, Risk, Mathematics or Statistics) or the equivalent combination of education and experience in Fraud Prevention.
Experience with analyzing Payment Data, ACH/Wire data, Fraud data, Financial Crime data.
Experience in performing trend and detect analysis and building reports.
Significant experience with relational databases, scripting languages, and database concepts.
Knowledge of risk management and control principles.
Working knowledge or the ability to learn and understand credit union products and services.
Advanced analytical skills with experience collecting, organizing, analyzing, and disseminating abundant information with accuracy.
Problem-solver with a strong analytic mindset, competent in research and problem resolution.
Reliable and thorough with a deep commitment to quality and accuracy; Keen eye for details and exceptional analytical, planning, organizational and problem-solving skills.
Considerable judgment is required. Must be able to analyze complicated factual situations, apply functional principles and develop solutions.
Ability to understand broader business issues, objectively analyze data and information to form a big-picture view of risk.
Creativity and ability to be data-driven and aggressive in delivering results required.
Self-motivated with proven ability to work independently under minimal supervision, prioritize issues, work within ambiguity, and manage tight deadlines.
Must be available for rotating weekend hours
Must be available to work in office at the Neshaminy Interplex office.
Our commitment to your success is enhanced by our competitive rate commensurate with experience and an extensive benefits package including paid time off, health benefits, 401(k) with a generous escalating company match, and future growth opportunities within the company. We work to maintain the best possible professional and environmentally friendly atmosphere for our employees.
EOE M/F/D/V
$54k-67k yearly est. 9d ago
Data Analyst Intern
Stateside Brands
Data science internship job in Trevose, PA
Stateside Brands is a rapidly growing spirits company dedicated to crafting premium-quality beverages- Surfside Iced Teas and Lemonades, Stateside Vodka, and Stateside Vodka Sodas. With a focus on innovation and quality, we take pride in our diverse portfolio of products that reflect our commitment to excellence.
Job Summary
The Data Analyst Intern will play a key role in supporting business functions through data analysis, reporting, and process improvement. You will work with large datasets, assist in data validation and visualization, and collaborate across teams to enhance decision-making. This role provides an excellent opportunity to gain hands-on experience in data analytics while contributing to strategic initiatives.
Key Responsibilities
Work with large datasets in Excel to analyze trends and generate reports.
Assist in data cleaning, validation, and visualization to support decision-making.
Provide administrative support across various tools and software programs used within the company.
Support ad-hoc reporting and analysis requests from multiple departments, including Sales and Supply Chain.
Collaborate with team members to improve data processes and workflows.
Present findings and insights in a clear and actionable manner.
Required Qualifications:
Currently pursuing a degree in Data Analytics, Business, Statistics, Economics, Computer Science, or a related field.
Strong proficiency in Excel; experience with SQL, Python, or Power BI is a plus.
Analytical mindset with attention to detail and problem-solving skills.
Ability to work collaboratively in a fast-paced environment.
Strong communication skills to present data insights effectively.
Preferred Qualifications:
Experience working with large datasets and data visualization tools.
Familiarity with data cleaning and validation processes.
Prior internship or project experience in data analytics or business intelligence.
Military experience is a plus.
Compensation
$15-$17 USD per hour
Stateside Brands is an Equal Opportunity Employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, gender, genetic information, national origin, disability, uniform service, veteran status, age, or any other classification protected by Federal, state, or local law. Stateside Brands is also a military-friendly company and values military community talent, including veterans, National Guard and Reserve members, and military spouses.
$15-17 hourly Auto-Apply 20d ago
Junior Market Data Resource
Alpha Technologies USA 4.1
Data science internship job in Wilmington, DE
Search for folks with 3-5 year experience with Good Excel skills - Pivot Tables etc.
· License management
· Inventory management
· Tracking
· Some exposure to Market data and IB is a huge plus
· Must be Local - DE, PA, NJ and nearby
Additional Information
Send me your resumes at vince@alphait. us
Pozdrawiam / With best regards,
Alpha Technologies Inc (USA)
Vince Taylor
Sr Technical Recruitment Specialist
$58k-80k yearly est. 60d+ ago
Applied AI Lead Data Scientist - Vice President
JPMC
Data science internship job in Wilmington, DE
Join us as we revolutionize data and analytics with cutting-edge Generative AI, shaping the future of our organization. Experience career growth, collaborate with top talent, and make a meaningful impact through ethical and sustainable AI practices.
As a Generative AI DataScience Lead in the Applied Solutions Team, you will drive the development and optimization of LLM-aided AI products. You work closely with cross-functional teams to deliver scalable solutions that support our business objectives and foster innovation. You will help shape the future of our organization by leveraging advanced datascience and engineering practices. You will collaborate with the ML Centre of Excellence, AI Research, and Engineering teams to design and deliver high-impact GenAI products and APIs. Your expertise will ensure our solutions are robust, scalable, and aligned with the needs of our business and stakeholders.
Job Responsibilities
Combine vast data assets with advanced AI, including LLMs and Multimodal LLMs
Bridge scientific research and software engineering, applying expertise in both domains
Collaborate with engineering teams to lead the design and delivery of GenAI products
Architect and implement scalable AI Agents, Agentic Workflows, and GenAI applications
Integrate GenAI solutions with enterprise platforms using API-based methods
Establish validation procedures with Evaluation Frameworks, bias mitigation, safety protocols, and guardrails
Align ML problem definition with business objectives
Communicate technical information and ideas effectively to stakeholders
Required Qualifications, Capabilities, and Skills
Bachelor's Degree in a quantitative discipline such as Computer Science, Mathematics, or Statistics
Ten years of experience in an individual contributor role in ML engineering
Strong understanding of statistics, optimization, and ML theory, focusing on NLP and/or Computer Vision algorithms
Demonstrated experience in parameter-efficient fine-tuning, model quantization, and quantization-aware fine-tuning of LLM models
Experience integrating GenAI solutions with enterprise platforms via standardized API patterns
Ability to establish validation procedures, including Evaluation Frameworks, bias mitigation, safety protocols, and guardrails
Excellent grasp of computer science fundamentals and SDLC best practices
Strong communication skills to build trust with stakeholders
Preferred Qualifications, Capabilities, and Skills
PhD in a quantitative discipline such as Computer Science, Mathematics, or Statistics
Experience designing and implementing pipelines using DAGs such as Kubeflow, DVC, or Ray
Ability to construct batch and streaming microservices exposed as gRPC or GraphQL endpoints
Hands-on experience implementing distributed, multi-threaded, and scalable applications using frameworks such as Ray, Horovod, or DeepSpeed
*** Relocation assistance is not available for this role.
$78k-110k yearly est. Auto-Apply 4d ago
Data Analyst/Programmer
Delaware County Intermediate Unit 4.2
Data science internship job in Morton, PA
The job of Data Analyst/Programmer was established for the purpose/s of providing support in all aspects of Child Accounting and PIMS to DCIU and/or DCTS and district personnel. Keeping student information up to date and accurate for billing, compliance, state and federal reporting purposes. Creating, maintaining, and supporting various databases, multiple software applications and writing custom reports utilized by the organization.
ESSENTIAL FUNCTIONS
• Compile and maintain a wide variety of information, files and records (e.g. enrollment process; instructional schedules; year-end roll-over of related systems, grading, attendance, etc.) for the purpose of ensuring the availability of documentation and compliance with established policies and regulatory guidelines.
• Communicate with internal and external clients for the purpose of understanding and resolving client needs and issues.
• Coordinate all database activities (e.g. Student Information, Applications, Enrollment, Parent Portal, Scheduling, Attendance, Grading, PIMS, PaSecureID, etc.) for the purpose of tracking participation, compliance and issues.
• Perform other related duties as assigned (e.g. analyzing and problem solving daily) for the purpose of ensuring the efficient and effective functioning of the work unit.
• Maintains a variety of systems and processes (e.g. Student Information System, Special Education System, Application System, Parent Portal, Scheduling, Grading, PIMS, etc.) for the purpose of ensuring accuracy.
• Develop web-based data collection tools and training materials for various processes (e.g. PIMS, Enrollment, Scheduling, etc.) for the purpose of collecting data in a consistent manner throughout the organization.
• Work with outside vendors to coordinate software releases, training and updates for the purpose of keeping software up to date and compatible with our network.
• Design custom reports and new databases to meet users' needs and support the organization.
• Maintain modify, and support various databases (e.g. School Age, Early Intervention, Options, etc.) for the purpose of keeping them current and applicable for the intermediate unit.
• Work with outside vendors to coordinate software releases, training and updates for the purpose of keeping software up to date and compatible with our network.
• Attend user group meetings and state conferences (e.g. ACAPA, EPAITDM, etc.) for the purpose of keeping current on state requirements.
• Research assigned topics (e.g. current practices, policies, education codes, etc.) for the purpose of providing information that address school operations.
• Provide orientation, train, mentor and support departments regarding procedures and program requirements (e.g. software and concepts; databases; daily activities) for the purpose of ensuring efficient processing in compliance within department and district policy and established regulatory guidelines.
• Create and maintain user accounts/access to various systems/platforms.
• The employee will be required to perform any other position-related duties requested by the supervisor.
Education Required: Associates and/or Vocational School degree with study in job related area or equivalent work experience.
Certification Required: Successful completion of PIMS DQC Track by the end of the 1st year of employment.
Prefer:
Entry Level PIMS Administrator DQC Certificate
Bachelor's degree in information technology or related area is preferred
Experience Required
• Excellent verbal communication and problem-solving skills.
• Minimum of two (2) years of related experience.
• Computer skills including Microsoft Word, Excel, Outlook, and Internet.
• Interpersonal skills: ability to foster teamwork and motivate/coach others.
• Make optimum decisions under pressure and time constraints.
Other Qualifications
• Teamworking skills to collaborate with team members and customers.
• Time management and organizational skills to manage various tasks and meet a deadline.
• Excellent attention to detail.
• Ability to relate to and function effectively with people of varying backgrounds and positions.
• Ability to communicate effectively and possess a positive and professional attitude toward duties
and responsibilities.
$43k-51k yearly est. 60d+ ago
Applied AI Lead Data Scientist - Vice President
Jpmorgan Chase & Co 4.8
Data science internship job in Wilmington, DE
JobID: 210665625 JobSchedule: Full time JobShift: Base Pay/Salary: Jersey City,NJ $164,350.00-$260,000.00; Chicago,IL $137,750.00-$235,000.00 Join us as we revolutionize data and analytics with cutting-edge Generative AI, shaping the future of our organization. Experience career growth, collaborate with top talent, and make a meaningful impact through ethical and sustainable AI practices.
As a Generative AI DataScience Lead in the Applied Solutions Team, you will drive the development and optimization of LLM-aided AI products. You work closely with cross-functional teams to deliver scalable solutions that support our business objectives and foster innovation. You will help shape the future of our organization by leveraging advanced datascience and engineering practices. You will collaborate with the ML Centre of Excellence, AI Research, and Engineering teams to design and deliver high-impact GenAI products and APIs. Your expertise will ensure our solutions are robust, scalable, and aligned with the needs of our business and stakeholders.
Job Responsibilities
* Combine vast data assets with advanced AI, including LLMs and Multimodal LLMs
* Bridge scientific research and software engineering, applying expertise in both domains
* Collaborate with engineering teams to lead the design and delivery of GenAI products
* Architect and implement scalable AI Agents, Agentic Workflows, and GenAI applications
* Integrate GenAI solutions with enterprise platforms using API-based methods
* Establish validation procedures with Evaluation Frameworks, bias mitigation, safety protocols, and guardrails
* Align ML problem definition with business objectives
* Communicate technical information and ideas effectively to stakeholders
Required Qualifications, Capabilities, and Skills
* Bachelor's Degree in a quantitative discipline such as Computer Science, Mathematics, or Statistics
* Ten years of experience in an individual contributor role in ML engineering
* Strong understanding of statistics, optimization, and ML theory, focusing on NLP and/or Computer Vision algorithms
* Demonstrated experience in parameter-efficient fine-tuning, model quantization, and quantization-aware fine-tuning of LLM models
* Experience integrating GenAI solutions with enterprise platforms via standardized API patterns
* Ability to establish validation procedures, including Evaluation Frameworks, bias mitigation, safety protocols, and guardrails
* Excellent grasp of computer science fundamentals and SDLC best practices
* Strong communication skills to build trust with stakeholders
Preferred Qualifications, Capabilities, and Skills
* PhD in a quantitative discipline such as Computer Science, Mathematics, or Statistics
* Experience designing and implementing pipelines using DAGs such as Kubeflow, DVC, or Ray
* Ability to construct batch and streaming microservices exposed as gRPC or GraphQL endpoints
* Hands-on experience implementing distributed, multi-threaded, and scalable applications using frameworks such as Ray, Horovod, or DeepSpeed
* Relocation assistance is not available for this role.
$89k-116k yearly est. Auto-Apply 60d+ ago
Fraud Data Analyst (onsite)
American Heritage Credit Union 4.3
Data science internship job in Trevose, PA
American Heritage Credit Union, a $5+ billion credit union, has an immediate opening for a Fraud Data Analyst.
This position will assist the Enterprise Risk and Compliance team in preventing fraud and managing losses to mitigate their effects on the credit union and its members. Provide analytic and project support to the ERM department for the advancement of controls and mitigation of risk by organizing, analyzing, and drawing conclusions from volumes of data to identify fraud trends by leveraging multiple technologies and working across verticals to help design mitigation strategies.
Responsibilities Include:
Delve into production data to produce, maintain, and curate metrics and reports for the Fraud team to implement strategies to combat fraud.
Review system-generated triggers for potentially fraudulent activity on members' accounts as well as credit and debit cards.
Perform detailed research and investigation on alerts that are generated for potential fraud schemes.
Work closely with variety of cross-functional teams to analyze suspicious activity and provide mitigation recommendations.
Build and maintain tools and/or processes to collect and track data and troubleshoot errors.
Develop and maintain processes and documentation to ensure best practices for fraud identification, escalation, and mitigation are effectively adhered to and communicated.
Develop, maintain, and publish periodic Key Performance Indicators (critical metrics) for the Fraud Program.
Leverage data to understand fraudulent behavior, identify trends that indicate elevated risk, and report to appropriate team and management.
Use relational database queries and spreadsheets to quickly analyze, manipulate, and visualize small to large datasets to guide fraud and risk policy discussions.
Conduct research, work independently, and make complex investigation decisions.
Develop strategies for the prevention and/or detection of internal and external fraud.
Support development of new fraud tools, processes, and third-party provided services.
Work closely with third-party providers to promptly implement, update, and make changes to fraud preventive rules.
Interpret data, analyze results using analytics, research methodologies, and statistical techniques.
Prepare, analyze, and summarize various weekly, monthly, and periodic operational results for use by various key stakeholders by creating reports, specifications, instructions, and flowcharts.
Conduct full lifecycle of analytics projects, including pulling, manipulating, and exporting data from project requirement documentation to design and execution.
Respond to fraud alerts by notifying members, restricting cards or other account privileges, and closing accounts.
Investigate claims of fraud against the member and credit union by following governing regulations, policies, and procedures when gathering evidence and information.
Assist with subpoenas and legal requests and provide timely and accurate evidence to law enforcement agencies.
Assist with the processing of fraudulent items by gathering information and presenting documentary evidence in an accurate and timely manner; Work with members to define and eliminate future fraudulent transactions.
Assist the ERM team with the timely preparation of Fraudulent Check Crime Reports, Bad Check Reports, and Fraudulent Credit Card Reports.
Assist with performing collection activities as needed on suspected or potentially fraudulent accounts; Track losses resulting from fraudulent transactions within the case management system.
Assist the ERM team with any investigations requested at the direction of the AVP of Fraud Investigations.
At the direction of the AVP of Fraud Investigations, assist branch staff and other departments throughout the credit union with resolving questionable activity on member accounts.
Assist with implementing corrective action procedures as necessary to ensure compliance with policies and procedures and to avoid future compliance issues.
Participate in establishing and maintaining professional business relationships with regulatory agencies, auditors, appraisers, and business associates including legal and law enforcement.
Assist with prompt resolution of complaints, questions, and problems.
Maintain awareness of new fraud techniques and security developments for counteracting fraud.
Remain informed of trends and developments in loss and fraud issues and loan reviews.
QUALIFICATIONS:
One to three years of similar or related experience using advanced data mining tools and large datasets, performing statistical analysis, and conducting predictive modeling.
Financial institution experience and industry knowledge required.
Equivalent to a college degree (BS or BA) preferably in a quantitative field (Finance, Risk, Mathematics or Statistics) or the equivalent combination of education and experience in Fraud Prevention.
Experience with analyzing Payment Data, ACH/Wire data, Fraud data, Financial Crime data.
Experience in performing trend and detect analysis and building reports.
Significant experience with relational databases, scripting languages, and database concepts.
Knowledge of risk management and control principles.
Working knowledge or the ability to learn and understand credit union products and services.
Advanced analytical skills with experience collecting, organizing, analyzing, and disseminating abundant information with accuracy.
Problem-solver with a strong analytic mindset, competent in research and problem resolution.
Reliable and thorough with a deep commitment to quality and accuracy; Keen eye for details and exceptional analytical, planning, organizational and problem-solving skills.
Considerable judgment is required. Must be able to analyze complicated factual situations, apply functional principles and develop solutions.
Ability to understand broader business issues, objectively analyze data and information to form a big-picture view of risk.
Creativity and ability to be data-driven and aggressive in delivering results required.
Self-motivated with proven ability to work independently under minimal supervision, prioritize issues, work within ambiguity, and manage tight deadlines.
Must be available for rotating weekend hours
Must be available to work in office at the Neshaminy Interplex office.
Our commitment to your success is enhanced by our competitive rate commensurate with experience and an extensive benefits package including paid time off, health benefits, 401(k) with a generous escalating company match, and future growth opportunities within the company. We work to maintain the best possible professional and environmentally friendly atmosphere for our employees.
EOE M/F/D/V
$54k-67k yearly est. 39d ago
Applied AI Lead Data Scientist - Vice President
Jpmorganchase 4.8
Data science internship job in Wilmington, DE
Join us as we revolutionize data and analytics with cutting-edge Generative AI, shaping the future of our organization. Experience career growth, collaborate with top talent, and make a meaningful impact through ethical and sustainable AI practices.
As a Generative AI DataScience Lead in the Applied Solutions Team, you will drive the development and optimization of LLM-aided AI products. You work closely with cross-functional teams to deliver scalable solutions that support our business objectives and foster innovation. You will help shape the future of our organization by leveraging advanced datascience and engineering practices. You will collaborate with the ML Centre of Excellence, AI Research, and Engineering teams to design and deliver high-impact GenAI products and APIs. Your expertise will ensure our solutions are robust, scalable, and aligned with the needs of our business and stakeholders.
Job Responsibilities
Combine vast data assets with advanced AI, including LLMs and Multimodal LLMs
Bridge scientific research and software engineering, applying expertise in both domains
Collaborate with engineering teams to lead the design and delivery of GenAI products
Architect and implement scalable AI Agents, Agentic Workflows, and GenAI applications
Integrate GenAI solutions with enterprise platforms using API-based methods
Establish validation procedures with Evaluation Frameworks, bias mitigation, safety protocols, and guardrails
Align ML problem definition with business objectives
Communicate technical information and ideas effectively to stakeholders
Required Qualifications, Capabilities, and Skills
Bachelor's Degree in a quantitative discipline such as Computer Science, Mathematics, or Statistics
Ten years of experience in an individual contributor role in ML engineering
Strong understanding of statistics, optimization, and ML theory, focusing on NLP and/or Computer Vision algorithms
Demonstrated experience in parameter-efficient fine-tuning, model quantization, and quantization-aware fine-tuning of LLM models
Experience integrating GenAI solutions with enterprise platforms via standardized API patterns
Ability to establish validation procedures, including Evaluation Frameworks, bias mitigation, safety protocols, and guardrails
Excellent grasp of computer science fundamentals and SDLC best practices
Strong communication skills to build trust with stakeholders
Preferred Qualifications, Capabilities, and Skills
PhD in a quantitative discipline such as Computer Science, Mathematics, or Statistics
Experience designing and implementing pipelines using DAGs such as Kubeflow, DVC, or Ray
Ability to construct batch and streaming microservices exposed as gRPC or GraphQL endpoints
Hands-on experience implementing distributed, multi-threaded, and scalable applications using frameworks such as Ray, Horovod, or DeepSpeed
*** Relocation assistance is not available for this role.
$89k-116k yearly est. Auto-Apply 4d ago
Fraud Data Analyst (onsite)
American Heritage Federal Credit Union 4.3
Data science internship job in Trevose, PA
American Heritage Credit Union, a $5+ billion credit union, has an immediate opening for a Fraud Data Analyst. This position will assist the Enterprise Risk and Compliance team in preventing fraud and managing losses to mitigate their effects on the credit union and its members. Provide analytic and project support to the ERM department for the advancement of controls and mitigation of risk by organizing, analyzing, and drawing conclusions from volumes of data to identify fraud trends by leveraging multiple technologies and working across verticals to help design mitigation strategies.
Responsibilities Include:
* Delve into production data to produce, maintain, and curate metrics and reports for the Fraud team to implement strategies to combat fraud.
* Review system-generated triggers for potentially fraudulent activity on members' accounts as well as credit and debit cards.
* Perform detailed research and investigation on alerts that are generated for potential fraud schemes.
* Work closely with variety of cross-functional teams to analyze suspicious activity and provide mitigation recommendations.
* Build and maintain tools and\/or processes to collect and track data and troubleshoot errors.
* Develop and maintain processes and documentation to ensure best practices for fraud identification, escalation, and mitigation are effectively adhered to and communicated.
* Develop, maintain, and publish periodic Key Performance Indicators (critical metrics) for the Fraud Program.
* Leverage data to understand fraudulent behavior, identify trends that indicate elevated risk, and report to appropriate team and management.
* Use relational database queries and spreadsheets to quickly analyze, manipulate, and visualize small to large datasets to guide fraud and risk policy discussions.
* Conduct research, work independently, and make complex investigation decisions.
* Develop strategies for the prevention and\/or detection of internal and external fraud.
* Support development of new fraud tools, processes, and third-party provided services.
* Work closely with third-party providers to promptly implement, update, and make changes to fraud preventive rules.
* Interpret data, analyze results using analytics, research methodologies, and statistical techniques.
* Prepare, analyze, and summarize various weekly, monthly, and periodic operational results for use by various key stakeholders by creating reports, specifications, instructions, and flowcharts.
* Conduct full lifecycle of analytics projects, including pulling, manipulating, and exporting data from project requirement documentation to design and execution.
* Respond to fraud alerts by notifying members, restricting cards or other account privileges, and closing accounts.
* Investigate claims of fraud against the member and credit union by following governing regulations, policies, and procedures when gathering evidence and information.
* Assist with subpoenas and legal requests and provide timely and accurate evidence to law enforcement agencies.
* Assist with the processing of fraudulent items by gathering information and presenting documentary evidence in an accurate and timely manner; Work with members to define and eliminate future fraudulent transactions.
* Assist the ERM team with the timely preparation of Fraudulent Check Crime Reports, Bad Check Reports, and Fraudulent Credit Card Reports.
* Assist with performing collection activities as needed on suspected or potentially fraudulent accounts; Track losses resulting from fraudulent transactions within the case management system.
* Assist the ERM team with any investigations requested at the direction of the AVP of Fraud Investigations.
* At the direction of the AVP of Fraud Investigations, assist branch staff and other departments throughout the credit union with resolving questionable activity on member accounts.
* Assist with implementing corrective action procedures as necessary to ensure compliance with policies and procedures and to avoid future compliance issues.
* Participate in establishing and maintaining professional business relationships with regulatory agencies, auditors, appraisers, and business associates including legal and law enforcement.
* Assist with prompt resolution of complaints, questions, and problems.
* Maintain awareness of new fraud techniques and security developments for counteracting fraud.
* Remain informed of trends and developments in loss and fraud issues and loan reviews.
QUALIFICATIONS:
* One to three years of similar or related experience using advanced data mining tools and large datasets, performing statistical analysis, and conducting predictive modeling.
* Financial institution experience and industry knowledge required.
* Equivalent to a college degree (BS or BA) preferably in a quantitative field (Finance, Risk, Mathematics or Statistics) or the equivalent combination of education and experience in Fraud Prevention.
* Experience with analyzing Payment Data, ACH\/Wire data, Fraud data, Financial Crime data.
* Experience in performing trend and detect analysis and building reports.
* Significant experience with relational databases, scripting languages, and database concepts.
* Knowledge of risk management and control principles.
* Working knowledge or the ability to learn and understand credit union products and services.
* Advanced analytical skills with experience collecting, organizing, analyzing, and disseminating abundant information with accuracy.
* Problem-solver with a strong analytic mindset, competent in research and problem resolution.
* Reliable and thorough with a deep commitment to quality and accuracy; Keen eye for details and exceptional analytical, planning, organizational and problem-solving skills.
* Considerable judgment is required. Must be able to analyze complicated factual situations, apply functional principles and develop solutions.
* Ability to understand broader business issues, objectively analyze data and information to form a big-picture view of risk.
* Creativity and ability to be data-driven and aggressive in delivering results required.
* Self-motivated with proven ability to work independently under minimal supervision, prioritize issues, work within ambiguity, and manage tight deadlines.
* Must be available for rotating weekend hours
* Must be available to work in office at the Neshaminy Interplex office.
Our commitment to your success is enhanced by our competitive rate commensurate with experience and an extensive benefits package including paid time off, health benefits, 401(k) with a generous escalating company match, and future growth opportunities within the company. We work to maintain the best possible professional and environmentally friendly atmosphere for our employees.
EOE M\/F\/D\/V","
How much does a data science internship earn in Lower Merion, PA?
The average data science internship in Lower Merion, PA earns between $33,000 and $100,000 annually. This compares to the national average data science internship range of $24,000 to $73,000.
Average data science internship salary in Lower Merion, PA
$58,000
What are the biggest employers of Data Science Interns in Lower Merion, PA?
The biggest employers of Data Science Interns in Lower Merion, PA are: