2025 Guardian Summer Intern, Data Engineering
2025 Guardian Summer Intern, Data Engineering
Our 2025 Internship Program is a paid 10-week learning experience where you will be immersed in the daily environment of a thriving global financial services company. You will gain invaluable industry and organizational knowledge through daily business interactions and job assignments, in addition to engaging in projects that directly affect our business, interact with senior leaders in conversational settings, and network with employees and interns across our offices. This 10-week internship provides you with realistic experiences and information of what it is like to work at Guardian.
You'll join our Enterprise Data & Analytics organization, whose mission is to be trusted partners who continuously enable valuable and scalable customer solutions. We strive to solve meaningful problems, create superior value, and pioneer new paths in our industry. Through your passion for Data Engineering, machine learning and data-driven decision making, you will be instrumental in shaping a future where data not only informs but also drives us forward. You will work at the forefront of technology, disrupting the status quo and enabling our business to navigate the unknown. As a Data Engineering intern, you will play a key role in this exciting journey. Your contributions will go beyond coding, as you'll help bring life to ideas, transforming innovative ideas into tangible solutions that directly impact our business and customers. Guided by our purpose to inspire well-being, the Enterprise Data & Analytics team are the connectors and enablers who use data & analytics to help leaders make decisions that benefit our colleagues, consumers, and communities.
Internship Dates:
The internship program will run from Monday, June 2, 2025- Friday, August 8, 2025 .
We review applications on a rolling basis, and we encourage you to apply as soon as you are ready. The application window will close on Sunday, November 17th, 2024, at 11:59PM ET or when role(s) have been filled, whichever comes first.
You are:
Pursuing a master's degree with 6+ months of experience or PhD degree with 1+ years of experience in Computer Science, Engineering, Mathematics, or related fields (graduation date of December 2025- June 2026) who is fueled by collaboration, able to listen and make quick decisions and thrive in a goal-oriented environment.
Location (housing is not provided):
• Bethlehem, PA
• New York, NY
You have:
• Hands on experience in working with Python, SQL, PySpark and bash scripts. Proficient in software development lifecycle and software engineering practices.
• Experience in developing and maintaining robust data pipelines for both structured and unstructured data to be used by Data Scientists to build ML Models.
• Experience working with Cloud Data Warehousing (Redshift, Snowflake, Databricks SQL or equivalent) platforms and experience in working with distributed framework like Spark.
• Experience with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn, xgboost).
• Proven understanding of machine learning life cycle, data mining, and ETL techniques.
You will:
• Work in an innovative, fast-paced environment, collaborating with bright minds while enjoying a balance between strategic and hands-on work
• Help to enable cutting edge AI & machine learning solutions which will contribute towards enhancing the wellbeing of our customers, fostering growth, maintaining competitive advantage, and customer satisfaction
• Collaborate with data scientists and data analysts to understand data requirements and translate them into scalable, high performant data pipeline solutions
• Design, implement, validate, and prepare the datasets for AI model
• Support data discovery & data preparation for model development. Perform detailed analysis of raw data sources by applying business context and collaborate with cross-functional teams to transform raw data into curated & certified data assets to be used for ML and BI use cases
• Extract text data from variety of sources like documents (Word, PDFs, Text Files, JSON etc.), logs, text notes stored in databases, using Web scrapping method from web pages to support development of NLP / LLM solutions
• Collaborate with data science and data engineering team to build scalable and reproducible machine learning pipelines for training and inference
• Assist in developing and maintaining robust tools, frameworks, and libraries that standardize and streamline the data & machine learning lifecycle
• Collaborate with cross-functional teams of Data Science, Data Engineering, business units and various IT teams
• Build and maintain effective documentation for project and practices ensuring transparency and effective team communication
• Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
• Have the opportunity to work and learn from supportive leaders, mentors and team members across the organization who will help coach you as you develop your professional career
• Learn about Guardian's purpose, values, how we work, and our suite of product and service offerings
• Build a network of colleagues and have a sense of community with other interns and other parts of the business
• Think broadly and ask questions about data, facts and other information
• Be a self-starter - someone who enjoys "rolling up their sleeves and getting things done", has high energy, strong work ethic, displays the ability to work independently, and is creative
We offer:
• Meaningful and challenging work opportunities to accelerate innovation in a secure and compliant way
• Dynamic, modern work environments that promote collaboration and creativity to develop and empower talent
• Employee Resource Groups that advocate for inclusion and diversity in all that we do
• Social responsibility in all aspects of our work- we volunteer within our local communities, create educational alliances with colleges, and drive a variety of initiatives in sustainability
Eligibility:
• Applicants must be eligible to work in the U.S. without company sponsorship, now or in the future, for employment-based work authorization. F-1 visa holders with Optional Practical Training (OPT) who will require H-1B status, TNs, or current H-1B visa holders will not be considered. H1-B and green card sponsorship are not available for this position.
• You must be available for the full 10 weeks of the internship program.
If you have any questions regarding the application process, please feel free to email Guardian_Campus@glic.com.
Salary Range
$20.00 - $35.00
The salary range reflected above is a good faith estimate of base pay for the primary location of the position. The salary for this position ultimately will be determined based on the education, experience, knowledge, and abilities of the successful candidate. In addition to salary, this role may also be eligible for annual, sales, or other incentive compensation.
Our Promise
At Guardian, you'll have the support and flexibility to achieve your professional and personal goals. Through skill-building, leadership development and philanthropic opportunities, we provide opportunities to build communities and grow your career, surrounded by diverse colleagues with high ethical standards.
Inspire Well-Being
As part of Guardian's Purpose - to inspire well-being - we are committed to offering contemporary, supportive, flexible, and inclusive benefits and resources to our colleagues.
Health Care
• Choice of [high deductible/copay] medical plans* with prescription drugs, including coverage for fertility and transgender inclusive benefits
• Dental plan
• Vision plan
• Health care accounts - flexible spending, health reimbursement, and health savings accounts
• Critical illness insurance
Life and Disability Insurance
• Company-paid Life and Disability insurance plus voluntary supplemental coverage
• Accident insurance
Retirement and Financial
• 401(k) retirement plan with a company match, plus an annual age/service-based Company contribution and an annual profit-sharing contribution, if applicable
• Complimentary 1:1 financial guidance with a licensed Fidelity representative
Time Off and Remote Work
• Flexible work arrangements (part in-person/part remote)
• Unlimited paid time off for most roles plus time off for volunteering, jury duty, voting, and bereavement
• Personal holidays for colleagues to use in recognition of religious, cultural, or civic days
• Paid parental leave and paid family and medical leave policies
Emotional Well-being and Work-Life
• Emotional well-being, mental health, and work/life resources powered by Spring Health
• Wellness programs, including fitness program and equipment reimbursement
• Child, adult, and elder back-up care support through Bright Horizons
• Adoption assistance
• College planning
• Tuition reimbursement
• Student loan assistance
• Commuter benefits in select metropolitan areas
Equity & Inclusion
Opportunities to build inclusive and meaningful connections through involvement in colleague-led affinity groups:
• Employee Resource Groups:
• Colleague Connection Committees
• Community Involvement Committees
A culture that encourages colleagues to bring their authentic selves to work
• Voluntary self-ID
• Pronunciation and phonetic spelling of names
Benefits apply to full-time eligible employees. Interns are not eligible for most Company benefits.
Equal Employment Opportunity
Guardian is an equal opportunity employer. All qualified applicants will be considered for employment without regard to age, race, color, creed, religion, sex, affectional or sexual orientation, national origin, ancestry, marital status, disability, military or veteran status, or any other classification protected by applicable law.
Accommodations
Guardian is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Guardian also provides reasonable accommodations to qualified job applicants (and employees) to accommodate the individual's known limitations related to pregnancy, childbirth, or related medical conditions, unless doing so would create an undue hardship. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact applicant_accommodation@glic.com.
Current Guardian Colleagues: Please apply through the internal Jobs Hub in Workday.
