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 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
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-Apply2026 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 ApplyJUNIOR MARKET DATA RESOURCE
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
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-ApplyLead Data Scientist
Data science internship job in Malvern, PA
Akkodis is seeking a Lead Data Scientist for a Contract with a client in Malvern, PA. Responsible for designing advanced machine learning models and leading data-driven strategies to solve complex business problems. Rate Range: $68/hour to $75/hour; The rate may be negotiable based on experience, education, geographic location, and other factors.
Lead Data Scientist job responsibilities include:
* Lead the design and development of advanced machine learning models to solve complex business problems and deliver actionable insights.
* Build and optimize scalable data pipelines and architectures, ensuring efficient data processing and integration for model development.
* Collaborate with cross-functional teams, including engineers and business stakeholders, to translate requirements into data-driven solutions.
* Perform exploratory data analysis and feature engineering, leveraging statistical and predictive modeling techniques.
* Deploy, monitor, and maintain machine learning models in production, implementing best practices for MLOps and model lifecycle management.
* Mentor junior data scientists and establish best practices for data science workflows, coding standards, and documentation.
Required Qualifications:
* Master's or Ph.D. in Data Science, Computer Science, Statistics, or a related quantitative field.
* Minimum 8+ years in data science, with at least 3 years in a leadership or team lead role.
* Proven experience in building and deploying machine learning models at scale in production environments.
* Strong expertise in Python, SQL, and cloud platforms (AWS, Azure, or GCP), along with excellent communication and stakeholder management skills.
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: $68.00 to $75.00 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 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
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-ApplyPXT (People Experience & Technology) - Data Scientist Associate
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
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.
PXT (People Experience & Technology) - Data Scientist Associate
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
Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans
**Base Pay/Salary**
Jersey City,NJ $114,000.00 - $170,000.00 / year
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-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 ApplyApplied AI Lead Data Scientist - Vice President
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 Data Science 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 data science 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.
Auto-ApplyApplied AI Lead Data Scientist - Vice President
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 Data Science 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 data science 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.
Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans
**Base Pay/Salary**
Chicago,IL $137,750.00 - $235,000.00 / year; Jersey City,NJ $164,350.00 - $260,000.00 / year
Business 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