Data Scientist
Data science internship job in Camden, NJ
Title: Data Scientist
Duration: Direct Hire
Schedule: Hybrid (Mon/Fri WFH, onsite Tues-Thurs)
Interview Process: 2 rounds, virtual (2nd/final round is a case study)
Salary Range: $95-120k/yr (with benefits)
Must haves:
1yr min professional/post-grad Data Scientist experience, and knowledge across areas such as Machine Learning, NLP, LLMs, etc
Proficiency in Python and SQL for data manipulation and pipeline development
Strong communication skills for stakeholder engagement
Bachelor's Degree
Plusses
Master's Degree
Azure experience (and/or other MS tools)
Experience working with healthcare data, preferably from Epic
Strong skills in data visualization, dashboard design, and interpreting complex datasets
Day to Day:
We are seeking a Data Scientist to join our clients analytics team. This role focuses on leveraging advanced analytics techniques to drive clinical and business decision-making. You will work with healthcare data to build predictive models, apply machine learning and NLP methods, and optimize data pipelines. The ideal candidate combines strong technical skills with the ability to communicate insights effectively to stakeholders.
Key Responsibilities
Develop and implement machine learning models for predictive analytics and clinical decision support.
Apply NLP and LLM techniques to extract insights from structured and unstructured data.
Build and optimize data pipelines using Python and SQL for ETL processes.
Preprocess and clean datasets to support analytics initiatives.
Collaborate with stakeholders to understand data needs and deliver actionable insights.
Interpret complex datasets and provide clear, data-driven recommendations.
Data Analyst
Data science internship job in Yardley, PA
Title: Data Analyst - Actuarial Support
Reports To: VP, Actuary
Department: Actuary
Classification: Full-Time/Exempt
Who We Are:
Old Republic is a leading specialty insurer that operates diverse property & casualty and title insurance companies. Founded in 1923 and a member of the Fortune 500, we are a leader in underwriting and risk management services for business partners across the United States and Canada. Our specialized operating companies are experts in their fields, enabling us to provide tailored solutions that set us apart.
Old Republic Specialty Insurance Underwriters (ORSIU) is part of Old Republic International Corporation. We offer insurance and reinsurance spanning most lines of business, and partner with specialists who are committed to providing the highest levels of service with the products necessary to meet the unique needs of the Alternative Risks, Specialty Programs and Excess Casualty marketplace.
Position Overview:
The Data Analyst will assist the actuarial department by gathering, analyzing, and interpreting relevant data sources in support of pricing, reserving, filing, reporting, and other business needs. Note that this role is not a part of the actuarial exam program.
Essential Job Functions:
Collaborate with cross functional teams to improve data and automate reports where appropriate.
Use analytics to spot trends, dependencies, and patterns.
Acquiring and compiling structured and unstructured data while verifying its quality, accuracy, and reasonableness.
Support actuarial department in responding to corporate/regulatory requests (state data calls, etc.), from determining requirements to data preparation to final exhibit creation.
Align with operations team as part of ongoing system development/enhancements while enhancing data availability within the organization.
Qualifications:
Degree in Business, Computer Science or another related field.
A minimum 2 years of P/C insurance experience is preferred.
Strong analytical and problem-solving skills as well as solid oral and written communication skills
Technical expertise in Microsoft Excel required; experience with Access, SQL, VBA, or other programming languages.
ORI is an Equal Opportunity Employer. ORI provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Data Science Internship, 2026
Data science internship job in Philadelphia, PA
Job DescriptionAbout 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 Data Science. 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 Data Science, 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 data science 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 careers@perpay.com to request accommodation.
Data Science Internship, 2026
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 Data Science. 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 Data Science, 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 data science 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.
Auto-ApplyData Analytics Intern
Data science internship job in Phoenixville, PA
CWT's Data & Analytics practice is seeking a motivated and detail-oriented Data Analytics Intern to join our team. The ideal candidate will assist with collecting, analyzing, and interpreting data to help the company make informed business decisions.
This is an excellent opportunity for a student or recent graduate to gain hands-on experience in data analytics and contribute to real projects.
Duties and Responsibilities
* Assist in collecting, cleaning, and organizing data from various sources.
* Perform data analysis using tools such as Excel, SQL, Python, statistics and AI/ML functionality.
* Create visualizations and dashboards to communicate insights using software like Tableau, Power BI, or Excel.
* Support the data analytics team in identifying trends, patterns, and correlations in large datasets.
* Help preparing reports and presentations, summarizing key findings and recommendations.
* Collaborate with cross-functional teams (e.g., supply chain, finance, operations) to support business initiatives with data-driven insights.
* Ensure the accuracy and integrity of data used for analysis.
* Conduct ad hoc analyses as required by the team.
* Other duties as assigned.
Required Knowledge/Skills/Abilities
* Basic knowledge of data analysis tools such as Excel, SQL, Python, or R.
* Familiarity with data visualization tools like Tableau or Power BI, exposure to cloud data modeling in Azure/Fabric environment is a plus.
* Background in developing machine learning and AI agents and AI frameworks is highly appreciated.
* Strong analytical and problem-solving skills.
* Ability to work with large datasets and pay attention to detail.
* Good communication skills and the ability to present data insights clearly.
* A passion for data and an eagerness to learn.
Education and Experience
* Currently pursuing a Master's degree in Data Science, Computer Science, or a related discipline from an accredited institution
* Seniors in an undergraduate program and PhD candidates are also considered for this position
* The internship is expected to begin in Summer 2026, with the possibility of an earlier start date based on candidate availability and eligibility
2026 Analyst, Management Consulting
Data science internship job in Philadelphia, PA
Athena is a creative place for leaders, risk-takers, creative thinkers and boundary-pushers. We partner with organizations looking to transform their presence, reputation, and performance. For over ten years, we've delivered business insights, marketing strategies, and brand activations for leading organizations in industries ranging from telecommunications to major league sports.
At Athena, our people help set us apart from traditional agencies and consultancies. As a Philadelphia Inquirer Top Workplace for three years running, we take pride in fostering a work environment where passion meets excellence. We are a team of solution-oriented individuals who eagerly roll up our sleeves to create meaningful results while never forgetting to have fun along the way.
About the Role
As a Management Consulting Analyst, you'll collaborate with experienced project managers to support the planning, execution, and delivery of both internal and client initiatives. Through proactive problem solving and cross-functional coordination with departments such as Creative, Marketing, and Events, you'll play a pivotal role in driving strategic initiatives and ensuring seamless project execution across departments.
We're looking for individuals that are detail-oriented and self-motivated, interested in project management, and have a strong background in research and time management. We work in a spirited, fast-paced, and ever-changing environment, so we are looking for someone who can hit the ground running and thrive in this setting.
About the Program
Intended for recent graduates, our analyst program offers hands-on experience, mentorship, and a clear path for growth within a woman-owned, women-led consultancy that values innovation, inclusion, and impact.
Our analyst position begins in July 2026 and is a full-time opportunity to join Athena.
Requirements
What you'll be responsible for:
Support team members to develop, manage, and execute impactful initiatives and projects for cross functional departments
Partner with colleagues to manage successful client outcomes
Synthesize complex ideas and data into actionable insights and deliverables
Prepare presentations for key stakeholders, in partnership with your team
Contribute to reaching organizational goals by being flexible and collaborative
Successfully meeting tight deadlines in a fast-paced environment
Balance multiple projects with competing priorities
Produce high quality deliverables to drive consistent results
The skills and experience you should have:
Strong work ethic and get-it-done mentality
Highly organized and detail oriented
Self-motivated, inspired by challenges, and driven by results
Excellent time management and the ability to prioritize your actions
Strong interpersonal skills and ability to efficiently and effectively communicate
Analytical and creative problem-solving skills
Thorough understanding of MS Office, especially PowerPoint and Excel
Superior writing and research skills
Open to learning new skills and tools
It's a plus if you have:
Bachelor's degree from a four-year college or university
Prior internship or co-op experience
Leadership experience through extracurricular activities, volunteer work, or team-based activities
Strong presentation skills
A professional and proactive demeanor, especially when interacting with clients or executives
Benefits
Medical/Dental benefits including 1K Health Reimbursement Account
Matching 401K
Generous PTO policy
Substantial Parental Leave Policy
Hybrid Work Environment
Curious about your career path at Athena? This role is at the Analyst level within Athena's career path structure. This team has the following levels of progression for growth and development.
Analyst --> Sr. Analyst --> Manager --> Sr. Manager --> Director --> Sr. Director --> Executive Director
Oh, and our application process is open, easy, as transparent as we can make it, and painless. We need team members like you to join us! Let's get started.
Athena is an equal opportunity/affirmative action employer committed to a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by law. If you are an individual with a disability and need assistance in applying for a position, please contact us at ************ or at
AthenaGlobalAdvisors.com
.
Auto-ApplyData Analyst
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
************
****************************
Easy ApplyData Analyst
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
Data Scientist III
Data science internship job in Mount Laurel, NJ
Hours:
40
Pay Details:
$95,264 - $155,376 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:
Analytics, Insights, & Artificial Intelligence
:
Job Description Summary:
The Data Scientist III provides technical leadership across the overall Analytics function which may have an enterprise mandate. This role generally provides deep technical knowledge and expertise in client interactions to explain complex data analysis related material.
Depth & Scope:
Generally accountable for a significant business management area that typically has enterprise-wide impact or accountability
Enterprise or functional expert, requiring broad managerial and deep specialized knowledge at the enterprise, business, regulatory and industry levels
Undertakes and completes a variety of complex initiatives requiring seasoned specialist knowledge and/or the integration of cross functional processes
Position typically deals with senior/executive management
Works independently on activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size
Focuses on longer-range planning for functional area (e.g. 12 months or greater)
May manage and prioritize multiple projects at a given time
Education & Experience:
Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science) Graduate's degree preferred with either progressive project work experience or
5+ year of relevant experience; higher degree education and research tenure can be counted
Preferred Qualifications:
Experience with Tableau, Power BI or similar platforms.
AML & Financial Crime Knowledge.
Understanding of CTR, SAR, KYC, Transaction Monitoring etc.
Ability to interpret complex data and provide insights, experience with cross-functional collaboration.
Ability to present technical insights to non-technical stakeholders.
AML & transaction monitoring data is complex and massive, requiring highly optimized dashboards.
CAMS certification
Customer Accountabilities:
Works closely with business owners to identify opportunities and serves as an ambassador for data science
Is familiar with the business context and data infrastructure and can translate business problems to viable data science solutions
Uses a wide range of programing languages (e.g. Python) and techniques for extracting and preparing data, applying statistics and various advanced analytics, along with business acumen to extract insights from the big data
Visualizes insights from the data to tell and illustrate stories that clearly convey the meaning of results to decision-makers and stakeholders at every level of technical understanding
Collaborates with other partners, such as data and business analysts, software engineers, data engineers, and application developers to develop scalable and sustainable data science solutions that retains long term benefit to the business
Shareholder Accountabilities:
Analytical thought leadership and stays current on developments in data mining and the application of data science
Solicits and offers ideas for improving business processes through insights with the objective of improving effectiveness and efficiency
Educates the organization on approaches, such as testing hypotheses and statistical validation of result
Helps the organization understand the principles and the math behind the scientist process to drive organizational alignment
Translates up to date information into continuous improvement activities that enhances performance
Adheres to enterprise frameworks or methodologies that relate to activities for business area
Ensures respective programs/policies/practices are well managed, meet business needs, comply with internal and external requirements, and align with business priorities
Participates in cross-functional/enterprise initiatives as a subject matter expert helping to identify risk/provide guidance for complex situations
Monitors service, productivity and assesses efficiency levels within own function and implements continuous process/performance improvements where opportunities exist
Leads/facilitates and/or implements action/remediation plans to address performance/risk/governance issues
Actively manages relationships within and across various business lines, corporate and/or control functions and ensures alignment with enterprise and/or regulatory requirements
Keeps abreast of emerging issues, trends, and evolving regulatory requirements and assesses 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, supports a positive work environment that promotes service to the business, quality, innovation and teamwork and ensures timely communication of issues/points of interest
Provides thought leadership and/or industry knowledge for own area of expertise in own area and participates in knowledge transfer within the team and business unit
Keeps current on emerging trends/developments and grows 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-AMCBCorporate
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.
Auto-ApplyData Scientist (Technical Leadership)
Data science internship job in Trenton, NJ
We are seeking experienced Data Scientists to join our team and drive impact across various product areas. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data-driven stories, present clear insights, and build credibility with stakeholders. By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.
**Required Skills:**
Data Scientist (Technical Leadership) Responsibilities:
1. Work with complex data sets to solve challenging problems using analytical and statistical approaches
2. Apply technical expertise in quantitative analysis, experimentation, and data mining to develop product strategies
3. Identify and measure success through goal setting, forecasting, and monitoring key metrics
4. Partner with cross-functional teams to inform and execute product strategy and investment decisions
5. Build long-term vision and strategy for programs and products
6. Collaborate with executives to define and develop data platforms and instrumentation
7. Effectively communicate insights and recommendations to stakeholders
8. Define success metrics, forecast changes, and set team goals
9. Support developing roadmaps and coordinate analytics efforts across teams
**Minimum Qualifications:**
Minimum Qualifications:
10. Mathematics, Statistics, Operations Research) 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab)
11. 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development
12. Experience with predictive modeling, machine learning, and experimentation/causal inference methods
13. Experience communicating complex technical topics in a clear, precise, and actionable manner
**Preferred Qualifications:**
Preferred Qualifications:
14. 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy
15. Masters or Ph.D. Degree in a quantitative field
16. Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research)
17. 10+ years of experience doing complex quantitative analysis in product analytics
**Public Compensation:**
$206,000/year to $281,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.
Data Scientist, NLP & Language Models
Data science internship job in Trenton, NJ
Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care.
By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare.
Datavant is looking for an enthusiastic and meticulous Data Scientist to join our growing team, which builds machine learning models for use across Datavant in multiple verticals and for multiple customer types.
As part of the Data Science team, you will play a crucial role in developing new product features and automating existing internal processes to drive innovation across Datavant. You will work with tens of millions of patients' worth of healthcare data to develop models, contributing to the entirety of the model development lifecycle from ideation and research to deployment and monitoring. You will collaborate with an experienced team of Data Scientists and Machine Learning Engineers along with application Engineers and Product Managers across the company to achieve Datavant's AI-enabled future.
**You Will:**
+ Play a key role in the success of our products by developing models for NLP (and other) tasks.
+ Perform error analysis, data cleaning, and other related tasks to improve models.
+ Collaborate with your team by making recommendations for the development roadmap of a capability.
+ Work with other data scientists and engineers to optimize machine learning models and insert them into end-to-end pipelines.
+ Understand product use-cases and define key performance metrics for models according to business requirements.
+ Set up systems for long-term improvement of models and data quality (e.g. active learning, continuous learning systems, etc.).
**What You Will Bring to the Table:**
+ Advanced degree in computer science, data science, statistics, or a related field, or equivalent work experience.
+ 4+ years of experience with data science and machine learning in an industry setting.
+ 4+ years experience with Python.
+ Experience designing and building NLP models for tasks such as classification, named-entity recognition, and dependency parsing.
+ Proficiency with standard data analysis toolkits such as SQL, Numpy, Pandas, etc.
+ Proficiency with deep learning frameworks like PyTorch (preferred) or TensorFlow.
+ Demonstrated ability to drive results in a team environment and contribute to team decision-making in the face of ambiguity.
+ Strong time management skills and demonstrable experience of prioritising work to meet tight deadlines.
+ Initiative and ability to independently explore and research novel topics and concepts as they arise.
\#LI-BC1
We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status.
At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services.
The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job.
The estimated total cash compensation range for this role is:
$136,000-$170,000 USD
To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion.
This job is not eligible for employment sponsorship.
Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here (************************************************** . Know Your Rights (*********************************************************************** , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay.
At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way.
Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, (************************************************************** Id=**********48790029&layout Id=**********48795462) by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here (******************************************************************************************************* . Requests for reasonable accommodations will be reviewed on a case-by-case basis.
For more information about how we collect and use your data, please review our Privacy Policy (**************************************** .
Life Sciences Marketing Analytics, Data Scientist
Data science internship job in Philadelphia, PA
JPA Health is a fully integrated marketing, communications and medical communications agency for clients ranging from emerging biotech to established pharmaceutical companies and public health organizations. We work exclusively within the health sector. We share our clients' commitment to making people healthier. In fact, some might say we are obsessed with improving and protecting lives. Check out our sizzle reel!
The Role
JPA is searching for a Life Sciences, Marketing Analytics Data Scientist, to join our Integrated Intelligence team. You'll blend analytics, applied statistics, and development to transform omnichannel marketing data into models, dashboards, and insights that fuel behavior change. You'll work across teams to design, measure, and optimize life sciences marketing programs across audiences and channels.
This position is a full-time, hybrid role reporting to any JPA office (i.e., Boston, Washington, DC, Philadelphia, New York City) 2 days per week and working remotely 3 days per week.
Applicants must be authorized to work in the United States without current or future need for visa sponsorship
The Responsibilities
Design and implement data pipelines to ingest, transform, and QA multi-source marketing data (paid, owned, earned, CRM, web, email, social, events, qualitative).
Build statistical models (e.g., regression, classification, forecasting, clustering) to identify performance drivers, segment audiences, and predict outcomes.
Develop fit-for-purpose marketing attribution and contribution approaches based on available data; quantify incrementality where feasible.
Create dashboards and automated reporting that translate complex results into simple, visual stories for technical and non-technical stakeholders.
Plan and analyze A/B and multivariate tests; estimate impact and uncertainty; recommend next-best actions and channel allocations.
Partner with engagement specialists and performance analytics teams to translate insights into channel, message, and audience optimizations throughout the campaign lifecycle.
Document methods, code, and data dictionaries; champion data quality, reproducibility, and privacy-aware measurement.
Present findings to clients; manage timelines and priorities across concurrent projects.
About You
Our ideal candidate must have:
Bachelor's degree in a quantitative field (e.g., statistics, mathematics, economics, engineering) or equivalent experience.
3-5 years in life sciences marketing analytics, data science, or a related role within an agency or in-house team.
Experience with privacy-aware measurement techniques and working within regulated industries, especially life sciences.
Hands-on coding experience for data wrangling, analysis, and statistical modeling, including version control and code review practices, including working familiarity with Python, R or SQL.
Strong grasp of experimental design, statistical inference, and causal thinking; able to communicate assumptions and limitations clearly.
Experience building automated dashboards and reports; adept at data visualization and storytelling using tools like Tableau and PowerBI.
Familiarity with omnichannel datasets and measurements across paid, owned, and earned media.
Comfortable working with imperfect data and designing solutions that scale.
Excellent communication skills; client-facing presence; collaborative approach with cross-functional partners.
What Makes Us Different
JPA Health offers you the opportunity to work with purpose as you achieve extraordinary results for our clients. You will elevate your career in an environment that thrives at the intersection of wellness, connection, and compassion. Our mission to help people live healthier lives begins with you.
Our approach prioritizes compassion to ensure you and your family flourish. We promote flexibility with adaptable work arrangements for a balanced personal and professional life. Our Collaboration Days are designed to strengthen relationships and enhance well-being. Respect, inclusion, camaraderie, and connection - this is the heart of our agency's ethos. We elevate each other. We work collaboratively. And we push ourselves to think bigger.
In addition, JPA Health offers:
Paid time off when you need it most: 20+ days PTO, 10 holidays, Sabbatical, bereavement & compassion leave, parental leave, civic duty, volunteer time and year-end office closure.
Unlimited access to LinkedIn Learning, internal webinars through JPA's Elevate Institute, tuition reimbursement, paid professional development, and paid learning and development time.
An impressive and comprehensive benefits package that supports you and your family's physical, mental and financial well-being.
Competitive pay and opportunities to advance. The anticipated starting pay for this role is between $107,000 and $120,000 annually, based on a variety of factors including but not limited to experience, qualifications, and location. You may also be eligible for performance-based bonuses. We review compensation annually and evaluate readiness for promotions every quarter.
At JPA Health, we are committed to fostering a culture of Diversity, Equity, and Inclusion (DEI). We believe that our strength lies in the diversity of our team, and we strive to create an environment where every individual feels valued, respected, and heard. We are dedicated to promoting equity in all aspects of our work, ensuring that all employees have equal access to opportunities and resources. We are inclusive, welcoming individuals of all races, genders, sexual orientations, religions, national origins, disabilities, and ages. Our commitment to DEI extends beyond our organization, influencing the work we do and the partnerships we build. We believe that by embracing DEI, we can drive innovation, enhance our services, and contribute to a healthier society.
We 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, disability, age, or veteran status. If you require an accommodation in order to apply for a position with JPA Health, please contact us for assistance at ******************.
Auto-ApplyData Scientist
Data science internship job in Malvern, PA
Akkodis is seeking a Data Scientist for a Contract with a client in Malvern, PA. Candidate must have strong proficiency in machine learning techniques and statistical analysis to deliver scalable, data-driven solutions. Rate Range: $56/hour to $60/hour; The rate may be negotiable based on experience, education, geographic location, and other factors.
Data Scientist job responsibilities include:
* Collect, clean, and preprocess large datasets to ensure data quality and reliability for analysis.
* Develop and implement statistical models and machine learning algorithms to solve business problems and improve decision-making.
* Perform exploratory data analysis (EDA) to identify patterns, trends, and actionable insights.
* Collaborate with cross-functional teams to translate business requirements into data-driven solutions.
* Create clear visualizations and reports to communicate findings effectively to stakeholders.
* Optimize and deploy predictive models into production environments for scalability and performance.
Required Qualifications:
* Bachelor's or master's degree in data science, Computer Science, Statistics, Mathematics, or a related field.
* 3-5 years of professional experience in data analysis, machine learning, or predictive modeling.
* Strong proficiency in Python, R, and SQL, with hands-on experience in building and deploying machine learning models.
* Excellent analytical and problem-solving skills, with the ability to communicate insights effectively to technical and non-technical stakeholders.
If you are interested in this role, then please click APPLY NOW. For other opportunities available at Akkodis, or any questions, feel free to contact me at *****************************.
Pay Details: $56.00 to $60.00 per hour
Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable.
Equal Opportunity Employer/Veterans/Disabled
Military connected talent encouraged to apply
To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to *************************************************
The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:
* The California Fair Chance Act
* Los Angeles City Fair Chance Ordinance
* Los Angeles County Fair Chance Ordinance for Employers
* San Francisco Fair Chance Ordinance
Massachusetts Candidates Only: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Easy ApplyResearch Scientist / Data Scientist - AI & Analytics
Data science internship job in Doylestown, PA
Adelphi Research | Advanced Market Research Group (AMG)
About the Role
Adelphi Research is seeking a Research Scientist/Data Scientist to join our Advanced Market Research Group. You'll work directly with the Senior Statistician to execute pharmaceutical market research analytics while also contributing to our growing portfolio of AI-powered research tools.
You'll spend significant time doing traditional statistical analysis for client projects (segmentation, conjoint analysis, message testing), but you'll also be a key contributor to building and testing new AI-enhanced methodologies and applications. If you're a strong quantitative researcher who's genuinely curious about AI's potential in market research-and has done some hands-on experimentation-this role offers a unique opportunity to shape the future of pharmaceutical insights.
What You'll Do
Client Analytics & Research Execution
Execute advanced statistical analyses for pharmaceutical market research studies:
Segmentation analysis (cluster analysis, latent class)
Conjoint analysis (discrete choice, MaxDiff)
Message testing and positioning research
Key driver analysis and predictive modeling
Perform data cleaning, weighting, and quality control for survey data
Create professional client deliverables: Simulators in excel and R shiny, PowerPoint, Excel outputs, crosstabs, etc.
Support project teams with statistical methodology recommendations
Collaborate on study design, questionnaire development, and analytical plans
AI Tool Development & Innovation
Contribute to building and testing R Shiny applications that enhance our research capabilities
Help develop AI-powered qualitative coding tools for open-ended survey responses
Test and refine chatbot interfaces that help clients interact with their data
Support validation studies for synthetic respondent methodologies (comparing AI-generated data to real respondent data)
Integrate LLM APIs into existing workflows where appropriate
Experiment with AI applications for research acceleration and automation
Document findings, create user guides, and support internal adoption
Required Qualifications
Core Technical Skills
Strong proficiency in R programming, including tidyverse ecosystem (dplyr, ggplot2, tidyr, purr, ellmer, vitals, ragnar)
OR strong Python skills (pandas, scikit-learn) with willingness to become proficient in R
R Shiny development experience
Statistical methods: Applied experience with regression, clustering, factor analysis, conjoint/MaxDiff, or similar techniques
Data manipulation: Comfortable working with complex survey data, messy datasets, weighting schemes
Some programming experience beyond scripting: You've built something-a dashboard, an analysis pipeline, a tool-not just run one-off analyses
AI Experience
Evidence of hands-on experimentation with AI tools beyond consumer use.
Built a small project using an LLM API (even if just a personal experiment)
Created a prototype chatbot or AI-enhanced tool
Worked through tutorials and actually implemented something with OpenAI/Anthropic/Google APIs
Experimented with prompt engineering in a programmatic way
Contributed to an AI-related project at work or school
Foundation & Experience
Master's degree in Statistics, Data Science, Biostatistics, Economics, or related quantitative field (PhD welcomed but not required)
2-4 years of experience in applied statistics, data science, or market research analytics
Experience with survey research methodologies preferred
Strong problem-solving skills and attention to detail
Excellent communication skills-ability to explain technical concepts to non-technical audiences
Comfort juggling multiple projects and shifting priorities
Nice-to-Haves (Valued but Not Required)
Domain & Methodology
Experience in pharmaceutical or healthcare market research
Understanding of survey design, sampling, and weighting approaches
Familiarity with FDA regulations or pharmaceutical compliance considerations
Background in segmentation, conjoint analysis, or MaxDiff studies
Technical & Tools
R package development or contribution to open-source projects
Familiarity with Azure, Google Cloud, or AWS
Python + R bilingual coding
Exposure to Bayesian methods or probabilistic models
Any experience with vector databases, RAG systems, or advanced AI architectures (rare but great if you have it)
Experience translating SPSS workflows to R
Learning & Development
Work directly with Senior Statisticians leading our AI initiatives
Exposure to diverse therapeutic areas across major pharmaceutical clients
Hands-on experience building production AI tools in a regulated industry
Professional development in both traditional research methods and emerging AI capabilities
Our Working Environment
You'll work directly with the Senior Statisticians and collaborate with:
Project teams serving major pharmaceutical clients
Data science colleagues across AMG
Qualitative researchers and strategic consultants
We value intellectual curiosity, pragmatic problem-solving, and a bias toward action. This is a role for someone who's equally comfortable running a factor analysis and experimenting with an LLM API-who sees the value in both rigorous statistical methods and emerging AI capabilities.
Tech Stack: R (tidyverse, Shiny, tidymodels), Azure OpenAI APIs, Google Gemini APIs, Posit Connect. Open to strong Python developers willing to become R-proficient.
To Apply: Please include any code samples, GitHub links, or portfolio pieces that demonstrate your analytical work. If you've built anything with AI/LLMs (even personal projects or experiments), we'd love to see it.
The range below represents the low and high end of the base salary someone in this role may earn as an employee of an Omnicom Health Group company in the United States. Salaries will vary based on various factors including but not limited to professional and academic experience, training, associated responsibilities, and other business and organizational needs. The range listed is just one component of our total compensation package for employees. Salary decisions are dependent on the circumstances of each hire.
$90,000 - $110,000
Omnicom Health is committed to hiring and developing exceptional talent. We agree that talent is uniquely distributed, and we're focused on developing inclusive teams that can bring the best solutions to everything we do. We strongly believe that celebrating what makes us different makes us better together. Join us-we look forward to getting to know you. We will process your personal data in accordance with our
Recruitment Privacy Notice
.
Auto-ApplyResearch Scientist / Data Scientist - AI & Analytics
Data science internship job in Doylestown, PA
Adelphi Research | Advanced Market Research Group (AMG)
About the Role
Adelphi Research is seeking a Research Scientist/Data Scientist to join our Advanced Market Research Group. You'll work directly with the Senior Statistician to execute pharmaceutical market research analytics while also contributing to our growing portfolio of AI-powered research tools.
You'll spend significant time doing traditional statistical analysis for client projects (segmentation, conjoint analysis, message testing), but you'll also be a key contributor to building and testing new AI-enhanced methodologies and applications. If you're a strong quantitative researcher who's genuinely curious about AI's potential in market research-and has done some hands-on experimentation-this role offers a unique opportunity to shape the future of pharmaceutical insights.
What You'll Do
Client Analytics & Research Execution
Execute advanced statistical analyses for pharmaceutical market research studies:
Segmentation analysis (cluster analysis, latent class)
Conjoint analysis (discrete choice, MaxDiff)
Message testing and positioning research
Key driver analysis and predictive modeling
Perform data cleaning, weighting, and quality control for survey data
Create professional client deliverables: Simulators in excel and R shiny, PowerPoint, Excel outputs, crosstabs, etc.
Support project teams with statistical methodology recommendations
Collaborate on study design, questionnaire development, and analytical plans
AI Tool Development & Innovation
Contribute to building and testing R Shiny applications that enhance our research capabilities
Help develop AI-powered qualitative coding tools for open-ended survey responses
Test and refine chatbot interfaces that help clients interact with their data
Support validation studies for synthetic respondent methodologies (comparing AI-generated data to real respondent data)
Integrate LLM APIs into existing workflows where appropriate
Experiment with AI applications for research acceleration and automation
Document findings, create user guides, and support internal adoption
Required Qualifications
Core Technical Skills
Strong proficiency in R programming, including tidyverse ecosystem (dplyr, ggplot2, tidyr, purr, ellmer, vitals, ragnar)
OR strong Python skills (pandas, scikit-learn) with willingness to become proficient in R
R Shiny development experience
Statistical methods: Applied experience with regression, clustering, factor analysis, conjoint/MaxDiff, or similar techniques
Data manipulation: Comfortable working with complex survey data, messy datasets, weighting schemes
Some programming experience beyond scripting: You've built something-a dashboard, an analysis pipeline, a tool-not just run one-off analyses
AI Experience
Evidence of hands-on experimentation with AI tools beyond consumer use.
Built a small project using an LLM API (even if just a personal experiment)
Created a prototype chatbot or AI-enhanced tool
Worked through tutorials and actually implemented something with OpenAI/Anthropic/Google APIs
Experimented with prompt engineering in a programmatic way
Contributed to an AI-related project at work or school
Foundation & Experience
Master's degree in Statistics, Data Science, Biostatistics, Economics, or related quantitative field (PhD welcomed but not required)
2-4 years of experience in applied statistics, data science, or market research analytics
Experience with survey research methodologies preferred
Strong problem-solving skills and attention to detail
Excellent communication skills-ability to explain technical concepts to non-technical audiences
Comfort juggling multiple projects and shifting priorities
Nice-to-Haves (Valued but Not Required)
Domain & Methodology
Experience in pharmaceutical or healthcare market research
Understanding of survey design, sampling, and weighting approaches
Familiarity with FDA regulations or pharmaceutical compliance considerations
Background in segmentation, conjoint analysis, or MaxDiff studies
Technical & Tools
R package development or contribution to open-source projects
Familiarity with Azure, Google Cloud, or AWS
Python + R bilingual coding
Exposure to Bayesian methods or probabilistic models
Any experience with vector databases, RAG systems, or advanced AI architectures (rare but great if you have it)
Experience translating SPSS workflows to R
Learning & Development
Work directly with Senior Statisticians leading our AI initiatives
Exposure to diverse therapeutic areas across major pharmaceutical clients
Hands-on experience building production AI tools in a regulated industry
Professional development in both traditional research methods and emerging AI capabilities
Our Working Environment
You'll work directly with the Senior Statisticians and collaborate with:
Project teams serving major pharmaceutical clients
Data science colleagues across AMG
Qualitative researchers and strategic consultants
We value intellectual curiosity, pragmatic problem-solving, and a bias toward action. This is a role for someone who's equally comfortable running a factor analysis and experimenting with an LLM API-who sees the value in both rigorous statistical methods and emerging AI capabilities.
Tech Stack: R (tidyverse, Shiny, tidymodels), Azure OpenAI APIs, Google Gemini APIs, Posit Connect. Open to strong Python developers willing to become R-proficient.
To Apply: Please include any code samples, GitHub links, or portfolio pieces that demonstrate your analytical work. If you've built anything with AI/LLMs (even personal projects or experiments), we'd love to see it.
The range below represents the low and high end of the base salary someone in this role may earn as an employee of an Omnicom Health Group company in the United States. Salaries will vary based on various factors including but not limited to professional and academic experience, training, associated responsibilities, and other business and organizational needs. The range listed is just one component of our total compensation package for employees. Salary decisions are dependent on the circumstances of each hire.
$90,000 - $110,000
Omnicom Health is committed to hiring and developing exceptional talent. We agree that talent is uniquely distributed, and we're focused on developing inclusive teams that can bring the best solutions to everything we do. We strongly believe that celebrating what makes us different makes us better together. Join us-we look forward to getting to know you. We will process your personal data in accordance with our
Recruitment Privacy Notice
.
Auto-ApplyData Analyst/Programmer
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.
Data Scientist
Data science internship job in Trenton, NJ
VTS3 is a Veteran-owned and operated company which provides full-service Recruiting, Talent Search, Staffing, and IT Professional Services. For more information visit *************
Job Description
We are looking a Data Scientist Consultant in Trenton, NJ. The qualified Data Scientist will be part of our client's Prescription Overdose: Data-Driven Prevention Initiative (DDPI). The successful candidate ideally will have extensive experience working with large public health databases such as hospitalization data, vital records (death records) and prescription monitoring database.
The Data Scientist will lead the preparation and consolidation of public health data to identify indicators for the dashboard and perform predictive modeling and analytics. The Data Scientist will work closely with the Departments Healthcare Quality and Informatics team assigned on this project, the Data Architect, and Office of Information Technology Services (HIT) staff.
Responsibilities:
Research and develop statistical learning models for data analysis
Collaborate with HQI and HIT to understand general Department and the specific DDPI project needs and devise possible solutions
Keep up-to-date with latest technology trends
Communicate results and ideas to key staff in DOH
Implement new statistical or other mathematical methodologies as needed for specific models or analyses
Optimize joint development efforts through appropriate database use and project design
This is an hourly position with opportunity for overtime.
**All Candidates Must be Authorized to Legally Work in the US Without Sponsorship**
Qualifications
• Extensive background in data mining and statistical analysis
• Ability to understand various data structures and common methods in data transformation
• Excellent pattern recognition and predictive modeling skills
• Experience with programming languages such as Java/Python is an asset
• HDFS / Data Lake Stores / Analytics
• SQL Databases / Warehouses / BISM Stack (SSMS, SSDT, SSIS, SSAS, SSRS)
• Analysis Services (Tabular Mode / DAX / Cube concepts)
• Experience with modeling and presentation technologies (SQL Server Analysis Services, Reporting Services, MicroStrategy, Business Objects, Cognos, Tableau, PowerBI, others)
• Expertise in BI-related data architecture, integration, modeling, and presentation
• Understands BI-related features and limitations of common database platforms (SQL Server, Analysis Services, Oracle, DB2, Postgres, others)
• Experience with ETL technologies (SQL Server Integration Services, Data Factory)
• At least 5-10 years as a data scientist with all of the skills listed above
• Bachelor's Degree in Computer Science, Statistics, Applied Math or related field
Education Preferred:
• Master Degree in Computer Science, Statistics, Applied Math or related field
Additional Information
$500 Referral Fee Program
Earn extra cash while helping your friends!
VTS3 will pay you up to $500.00 for each person you refer to us and we place into a contract or full-time position. If you know someone who's a good candidate for any of our openings, use the "Refer a friend" button on this page and earn extra cash.
The rules are simple:
The referral must be made by using the "Refer a friend" button on this page
The person you refer must be placed within 90 days of being referred
The person you refer must complete 480 billable hours
Cannot be someone we already have on our team or are currently working with
VTS3 ONLY works directly with candidates.
All candidates registered must be able to legally work in the United States.
Data Scientist
Data science internship job in Trenton, NJ
We are looking a Data Scientist Consultant in Trenton, NJ. The qualified Data Scientist will be part of our client's Prescription Overdose: Data-Driven Prevention Initiative (DDPI). The successful candidate ideally will have extensive experience working with large public health databases such as hospitalization data, vital records (death records) and prescription monitoring database.
The Data Scientist will lead the preparation and consolidation of public health data to identify indicators for the dashboard and perform predictive modeling and analytics. The Data Scientist will work closely with the Departments Healthcare Quality and Informatics team assigned on this project, the Data Architect, and Office of Information Technology Services (HIT) staff.
Responsibilities:
Research and develop statistical learning models for data analysis
Collaborate with HQI and HIT to understand general Department and the specific DDPI project needs and devise possible solutions
Keep up-to-date with latest technology trends
Communicate results and ideas to key staff in DOH
Implement new statistical or other mathematical methodologies as needed for specific models or analyses
Optimize joint development efforts through appropriate database use and project design
This is an hourly position with opportunity for overtime.
**All Candidates Must be Authorized to Legally Work in the US Without Sponsorship**
Qualifications
• Extensive background in data mining and statistical analysis
• Ability to understand various data structures and common methods in data transformation
• Excellent pattern recognition and predictive modeling skills
• Experience with programming languages such as Java/Python is an asset
• HDFS / Data Lake Stores / Analytics
• SQL Databases / Warehouses / BISM Stack (SSMS, SSDT, SSIS, SSAS, SSRS)
• Analysis Services (Tabular Mode / DAX / Cube concepts)
• Experience with modeling and presentation technologies (SQL Server Analysis Services, Reporting Services, MicroStrategy, Business Objects, Cognos, Tableau, PowerBI, others)
• Expertise in BI-related data architecture, integration, modeling, and presentation
• Understands BI-related features and limitations of common database platforms (SQL Server, Analysis Services, Oracle, DB2, Postgres, others)
• Experience with ETL technologies (SQL Server Integration Services, Data Factory)
• At least 5-10 years as a data scientist with all of the skills listed above
• Bachelor's Degree in Computer Science, Statistics, Applied Math or related field
Education Preferred:
• Master Degree in Computer Science, Statistics, Applied Math or related field
Additional Information
$500 Referral Fee Program
Earn extra cash while helping your friends!
VTS3 will pay you up to $500.00 for each person you refer to us and we place into a contract or full-time position. If you know someone who's a good candidate for any of our openings, use the "Refer a friend" button on this page and earn extra cash.
The rules are simple:
The referral must be made by using the "Refer a friend" button on this page
The person you refer must be placed within 90 days of being referred
The person you refer must complete 480 billable hours
Cannot be someone we already have on our team or are currently working with
VTS3 ONLY works directly with candidates.
All candidates registered must be able to legally work in the United States.
Business Process Analyst Intern, application via RippleMatch
Data science internship job in Philadelphia, PA
This role is with RippleMatch's partner companies. RippleMatch partners with hundreds of companies looking to hire top talent.
About RippleMatch
RippleMatch is your AI-powered job matchmaker. Our platform brings opportunities directly to you by matching you with top employers and jobs you are qualified for. Tell us about your strengths and goals - we'll get you interviews! Leading employers leverage RippleMatch to build high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers.
Requirements for the role:
Currently pursuing a Bachelor's or Master's degree in Business Administration, Management Information Systems, Business Analytics, or a related field.
Basic understanding of business process analysis, modeling, and improvement techniques.
Ability to assist in the documentation, analysis, and optimization of business processes.
Strong analytical skills, with the capability to interpret business data and workflows to identify inefficiencies and recommend improvements.
Good organizational and project management skills, capable of managing multiple tasks and contributing to collaborative projects.
Effective communication and interpersonal skills, essential for working with cross-functional teams and documenting process requirements.
Familiarity with ERP systems or other business management software.
Skills in data analysis and the use of analytics tools to support business decisions.
Proficiency with Microsoft Office, particularly Excel, and familiarity with process mapping tools such as Visio or Lucidchart.
Eagerness to learn about operational efficiencies and the application of technology in business processes.
Auto-ApplyBusiness Analyst Intern, application via RippleMatch
Data science internship job in Philadelphia, PA
This role is with RippleMatch's partner companies. RippleMatch partners with hundreds of companies looking to hire top talent.
About RippleMatch
RippleMatch is your AI-powered job matchmaker. Our platform brings opportunities directly to you by matching you with top employers and jobs you are qualified for. Tell us about your strengths and goals - we'll get you interviews! Leading employers leverage RippleMatch to build high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers.
Requirements for the role:
A Bachelor's degree in Finance, General Business, or Business Analytics
Strong financial and analytical skills
Proven ability to organize and interpret large amounts of data
Meticulous, organized and proficient at managing multiple workstreams simultaneously
Excellent written and verbal communication skills needed to interact with internal team members and external client personnel.
Dedicated, result oriented and ability to learn quickly in a fast-paced, dynamic work environment under tight deadlines
Highly proficient in Excel; SQL and Tableau experience preferred
Proficiency in the English language, including the ability to listen, understand, read and communicate effectively both in writing and verbally in a professional environment.
Auto-Apply