Data science internship jobs in Reading, PA - 51 jobs

Penske is committed to harnessing the power of location intelligence and data analytics for informed decision-making. We are seeking highly motivated and talented students to join our team as Interns. This internship provides a unique opportunity to gain hands-on experience with cutting-edge spatial analytical Responsibilities + Utilize SAS or Python to analyze data for a variety of business problems. + Develop propensity model (logistic regression/XGB) to help drive business and revenue growth + Generate meaningful insights using data gathered from multiple sources + Support Senior Data Scientist to develop AI Agent to further improve the workflow andproductivity + Create engaging Story to communicate the findings/results effectively **Qualifications:** + Currently enrolled in a STEM degree program (1st year MS Degree OR 3rd year in BA/BS Degree) + Course works in Statistics such as Statistical Theory, Statistical Methods, Multi-variate Analysis,Linear Model, and Logistic Regression Model + SAS and/or Python Scikit-Learn Library knowledge + Microsoft Office such as Word, Excel, and Power Point + Regular, predictable, full attendance is an essential function of the job. Willingness to work the required schedule, work at the specific location required, complete Penske employment application, submit to a background investigation (to include past employment, education, and criminal history) and drug screening are required. Preferred Skills: + Strong problem-solving and analytical skills + Knowledge of basic to intermediate SAS Programming skill + Knowledge of running regression in SAS environment (PC, SAS Studio or Enterprise Guide + Knowledge of integrating data for analysis + Excellent communication and presentation skills **Physical Requirements:** + The physical and mental demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. + The associate will be required to: read; communicate verbally and/or in written form; remember and analyze certain information; and remember and understand certain instructions or guidelines. + While performing the duties of this job, the associate may be required to stand, walk, and sit. The associate is frequently required to use hands to touch, handle, and feel, and to reach with hands and arms. The associate must be able to occasionally lift and/or move up to 25lbs/12kg. + Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception and the ability to adjust focus. **About Penske Truck Leasing/Transportation Solutions** Penske Truck Leasing/Transportation Solutions is a premier global transportation provider that delivers essential and innovative transportation, logistics and technology services to help companies and people move forward. With headquarters in Reading, PA, Penske and its associates are driven by a dedication to excellence and a commitment to customer success. Visit Go Penske to learn more. Job Category: Other Corporate Job Family: General Administration Address: 100 Gundy Drive Primary Location: US-PA-Reading Employer: Penske Truck Leasing Co., L.P. Req ID: 2600783

Data Analyst - 87IB6E We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future. Hartford Funds is seeking a bright and motivated Data Analyst to join our Data Quality team. This role is central to ensuring the accuracy, reliability, and operational excellence of the firm's data ecosystem. The analyst will monitor and manage daily data operations, triage and resolve data quality alerts, support ongoing data quality initiatives, and collaborate closely with internal stakeholders and external data providers. In addition, the role contributes to longer term improvements that reduce operational risk and strengthen trust in the firm's data. Responsibilities: + Triage data quality alerts, coordinate with stakeholders, communicate ETAs, and track remediation. + Perform rapid root‑cause analysis across pipelines, applications, and source systems; document and drive corrective actions. + Develop new controls based on analysis and feedback from business partners. + Collect, analyze, and interpret data to identify trends, patterns, and opportunities for improvement and/or correction. + Work with vendors and/or internal systems to improve quality and timeliness of data. + Ensure data accuracy and integrity by performing regular data audits and validation. + Maintain documentation (runbooks, SOPs, data controls, lineage maps, validation coverage). + Design, build, and maintain data quality & operational dashboards + Contribute to data standards, definitions, and quality KPIs with data stewards and governance leaders. + Execute time‑sensitive analysis for sales, distribution, product, and investments teams using SQL/Python/BI tools. + Translate business questions into queries/metrics; deliver findings with clear narrative, visuals, and recommended actions. Qualifications: + Bachelor's degree in Information Systems, Data Management, Business, Analytics, or related field. + 3+ years of experience in data operations, data quality, or related data management disciplines. + Experience developing dashboards in Tableau. + Experience building validation rules, exception workflows, and data quality controls. + Strong understanding of data lifecycle, data pipelines, ingestion workflows, and data dependencies. + Strong proficiency in SQL (ability to interpret and write queries and validation rules). + Strong problem solving under time pressure; ability to own incidents end-to-end. + Skilled in developing process documentation, SOPs, and operational playbooks. + Excellent communication skills, able to simplify technical issues for business stakeholders. + Strong organizational skills with the ability to manage multiple priorities simultaneously. + Knowledge of reference/master data management and metadata practices. Preferred Qualifications: + Experience with Python or data automation workflows. + Familiarity with data governance frameworks Compensation The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is: $85,000 - $115,000 Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age About Us (************************************* | Our Culture (******************************************************* | What It's Like to Work Here (************************************************** | Perks & Benefits (********************************************* Every day, a day to do right. Showing up for people isn't just what we do. It's who we are - and have been for more than 200 years. We're devoted to finding innovative ways to serve our customers, communities and employees-continually asking ourselves what more we can do. Is our policy language as simple and inclusive as it can be? Can we better help businesses navigate our ever-changing world? What else can we do to destigmatize mental health in the workplace? Can we make our communities more equitable? That we can rise to the challenge of these questions is due in no small part to our company values that our employees have shaped and defined. And while how we contribute looks different for each of us, it's these values that drive all of us to do more and to do better every day. About Us (************************************* Our Culture What It's Like to Work Here (************************************************** Perks & Benefits Legal Notice (***************************************** Accessibility Statement Producer Compensation (************************************************** EEO Privacy Policy (************************************************** California Privacy Policy Your California Privacy Choices (****************************************************** International Privacy Policy Canadian Privacy Policy (**************************************************** Unincorporated Areas of LA County, CA (Applicant Information) MA Applicant Notice (******************************************** Hartford India Prospective Personnel Privacy Notice

Piper Companies is seeking a Data Quality Analyst to support critical data quality initiatives within the organization's Data Quality team. This role is central to ensuring the accuracy, reliability, and operational excellence of enterprise data, supporting both daily operations and long-term risk reduction efforts across the firm. Responsibilities of the Data Analyst Include: * Monitor and address data quality issues, collaborating with stakeholders and tracking resolution progress. * Investigate and resolve root causes across data pipelines and systems, documenting corrective actions. * Design, implement, and maintain data quality controls, validation processes, and dashboards. * Perform regular data audits to ensure accuracy, integrity, and compliance across platforms. * Convert business requirements into actionable insights using SQL, Python, and BI tools. Qualifications for the Data Analyst Include: * Minimum of 3 years' experience in data management, data quality, or data operations roles. * Skilled in SQL with hands-on experience designing dashboards in Tableau. * Experienced in creating data validation rules, exception handling workflows, and quality controls. * Solid understanding of the full data lifecycle, including pipelines, ingestion processes, and system dependencies. * Strong written and verbal communication skills with experience developing documentation, SOPs, and operational playbooks. * Bachelor's degree in Information Systems, Data Management, Business Analytics, or a related discipline Compensation for the Data Analyst Includes: * Targeted Salary Range: $85,000 - $115,000 annually *depending on experience and qualifications* * Comprehensive benefits package including Medical, Dental, Vision, 401K, PTO, and additional company-sponsored benefits. Keywords: Data Quality Analyst, data quality, data management, data operations, data governance, data pipelines, data validation, data audits, data integrity, SQL, Python, Tableau, dashboards, BI tools, root-cause analysis, exception workflows, quality controls, data lifecycle, ingestion processes, system dependencies, stakeholder collaboration, documentation, SOPs, operational playbooks, enterprise data, operational excellence, risk reduction, business insights, data analysis, reporting This position opens for applications on 01/23/2025. Applications will be accepted for at least 30 days from the posting date. #LI-CM1 #LI-ONSITE

Lancaster, PA, USA Full-time ** Eurofins Scientific is an international life sciences company, providing a unique range of analytical testing services to clients across multiple industries, to make life and our environment safer, healthier and more sustainable. From the food you eat, to the water you drink, to the medicines you rely on, Eurofins works with the biggest companies in the world to ensure the products they supply are safe, their ingredients are authentic and labelling is accurate. Eurofins is the global leader in food, environment, pharmaceutical and cosmetic product testing and in agroscience Contract Research Organisation services. Eurofins is one of the market leaders in certain testing and laboratory services for genomics, discovery pharmacology, forensics, advanced material sciences and in the support of clinical studies, as well as having an emerging global presence in Contract Development and Manufacturing Organisations. The Group also has a rapidly developing presence in highly specialised and molecular clinical diagnostic testing and in-vitro diagnostic products. In over just 30 years, Eurofins has grown from one laboratory in Nantes, France to 55,000 staff across a decentralised and entrepreneurial network of 900 laboratories in over 50 countries. Eurofins offers a portfolio of over 200,000 analytical methods to evaluate the safety, identity, composition, authenticity, origin, traceability and purity of biological substances and products. **Job Description** Eurofins Biopharmaceutical is looking for an **Associate Scientist** to support **Data Review** of our **Biochemistry** team. The Associate Scientist position is considered an entry-level opportunity that will allow for hands on development and growth in day-to-day activities supporting a laboratory setting under prescribed processes (protocols, standard operating procedures, methods, etc.). The **Data Review** requirement of this position will also allow for development and assignment of responsibilities that include reviewing scientific reports under CGMP guidelines, assisting with internal audits, review of scientific reports to ensure regulatory requirements have been met, data tracking and reporting. This position will provide a balance schedule to support both laboratory and data tracking operations and is seeking a potential candidate that is interested in learning both aspects within a lab setting. **Employee Responsibilities and Qualifications:** + Ensure that the client receives quality data by reviewing laboratory data for accuracy, clarity, and adherence to GMP and/or GLP regulations. + Review simple and complex routine and non-routine data (for three or more areas) according to departmental, corporate, and client SOPs; read and understand analytical procedures; ensure all work is performed according to GLP/GMP requirements and apply GLP/GMP in all areas of responsibility + Experience in a laboratory setting or GMP pharmaceutical setting. + Ensure that the client receives quality data by reviewing laboratory data for accuracy, clarity, and adherence to GMP and/or GLP regulations + Review simple and complex routine and non-routine data (for three or more areas) according to departmental, corporate, and client SOPs; read and understand analytical procedures; ensure all work is performed according to GLP/GMP requirements and apply GLP/GMP in all areas of responsibility as appropriate + Good organizational skills; ability to follow direction and good communication skills are required. + Strong computer, scientific, and organizational skills. + Excellent communication (oral and written) and attention to detail. + Ability to work independently and as part of a team, self-motivation, adaptability, and a positive attitude. + Ability to learn new techniques, perform multiple tasks simultaneously, keep accurate records, follow instructions, and comply with company policies. **Qualifications** **Minimum Qualifications:** + Bachelors Degree in a _LIFE SCIENCE_ field such as Chemistry, Biochemistry, and Biology required + Authorization to work in the United States indefinitely without restriction or sponsorship **Additional Information** **Position is full-time, Monday-Friday, 8am - 5 pm., with additional hours, as needed.** Candidates currently living within a commutable distance of Lancaster, Pennsylvania are encouraged to apply. This position is NOT remote. **We offer excellent full-time benefits including** : + comprehensive medical coverage, + life and disability insurance, + 401(k) with company match, + paid holidays and vacation, + dental and vision options. To learn more about Eurofins, please explore our website ********************** . **Eurofins USA BioPharma Services is a Disabled and Veteran Equal Employment Opportunity employer.**

We are seeking a highly experienced Senior Data Scientist with deep expertise in mathematical formulations, optimization techniques, and advanced analytical modeling. In this role, you will design and implement sophisticated optimization solutions that drive key business decisions, efficiency improvements, and product innovation. You will collaborate closely with data engineering, product, and business teams to solve complex, high‑impact problems through applied mathematics, statistical modeling, and machine learning. What You'll Do - Develop, refine, and implement optimization models (linear programming, mixed‑integer programming, nonlinear optimization, stochastic optimization, etc.) for large‑scale business use cases. - Transform ambiguous business questions into mathematical problem statements, selecting appropriate constraints, objective functions, and solution methods. - Build and deploy end‑to‑end predictive models, simulation frameworks, and analytical pipelines. - Apply advanced statistical, machine learning, and quantitative modeling techniques to large datasets. - Collaborate with business stakeholders to understand requirements, evaluate feasibility, and translate needs into technical solutions. - Partner with data engineering to productionize optimization and ML models in scalable environments. - Conduct model validation, scenario testing, and sensitivity analysis to ensure robustness and reliability. - Communicate insights, model behavior, and recommendations to leadership through clear storytelling and visualization. - Mentor junior data scientists and contribute to internal knowledge-sharing around optimization and mathematical modeling best practices. - Stay current on emerging methods, solvers, and computational techniques in optimization and applied mathematics. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to ********************.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: **************************************************** Skills and Requirements - Master's or PhD in Applied Mathematics, Operations Research, Industrial Engineering, Statistics, Computer Science, or related quantitative discipline. - 5-8+ years of experience building and implementing optimization models in real-world applications. - Strong foundation in mathematical formulations: Linear & Integer Programming (LP/MIP) Nonlinear programming Constraint programming Stochastic or robust optimization - Proficiency in Python and relevant libraries (Pyomo, PuLP, SciPy, NumPy, Pandas, etc.). - Experience working with large datasets and developing production-ready data science solutions. - Solid understanding of statistical modeling, probability, and machine learning concepts. - Strong communication skills with the ability to simplify and explain mathematical concepts to non‑technical audiences. -**Willing to come onsite to Reading, PA 1x a week**

Value Proposition Our values define us and our culture inspires us to change lives for the better. Our employees are the heart and soul of our company, and every success we experience begins with them. Together we are committed to making a positive impact in our local communities. We champion a culture of continuous learning, work-life integration, and inclusion. We promote a digitally enabled work environment to continuously enhance the experience of our employees and customers. Overview This is a full-time career opportunity that can be remote. The Data Scientist will work on a variety of data-driven initiatives or projects that will result in the development and deployment of data-driven solutions to business problems, strategy, and opportunities. Incumbents in this role will analyze data, ask and answer data driven and key business questions, deploy appropriate solutions, and communicate results to stakeholders. The Data Scientist may be expected to design and develop machine learning models, based on specific assignments or team focus. Responsibilities Collaborate on Data Science projects with business stakeholders. Explore data and the implementation of varied data-driven methods to impact enterprise-level strategy, facilitate decision making, and achieve key objectives. Apply advanced analytics and machine learning during implementation, as needed based on project scope. Extract and transform data from multiple sources in preparation for prescriptive or predictive data analysis, modeling, and reporting. Deploy tools to integrate, report, and interpret large data sets with structured and unstructured data. When required, complete model risk management documents. Apply supervised and unsupervised learning methods to glean meaningful information from various data. Serve as a data subject matter expert, improve data literacy, and act as a data consultant for assigned areas of the business. Collaborate with other data stakeholders for support and access to appropriate data and data sources. Continuously seek out industry best practice and skills development to create new capabilities for data analytics and data science. Additional Responsibilities Project management Utilize publicly available machine learning or deep learning tools such as TensorFlow, Keras, Scikit-learn, etc. in pursuit of business objectives May mentor and support other data-related roles to provide data-driven tools and insights Qualifications Education Bachelor's Degree or the equivalent experience. Specialty: applied math, statistics, computer science, engineering, econometrics, or related field. (Required) Master's Degree or the equivalent experience. Specialty: applied math, statistics, computer science, engineering, econometrics , or related field. (Preferred) Experience 5 or more years data mining, machine and/or deep learning algorithms, large datasets and complex relational data models (structured and/or unstructured). (Required) 5 or more years programming with Python. (Preferred) 3 or more years experience with TensorFlow, Scikit-learn, Keras, Torch and NLP libraries. (Preferred) 3 or more years experience with NLP techniques such as tokenization, etc. (Preferred) 2 or more years Cloud computing experience. (Preferred) CertificationsKnowledge, Skills, and Abilities Working knowledge of various supervised and unsupervised learning methods such as logistic regression, bagging & boosting, clustering, neural nets, etc. (Required) Working knowledge of machine learning/deep learning techniques, applications, and libraries. (Required) Hands-on experience with AWS, GCP, or Azure. Able to utilize API endpoints. (Required) Effective communications skills and ability to articulate recommendations to varied audiences (Required) Other Duties as Assigned by Manager This role may perform other job duties as assigned by the manager. Each employee of the Organization, regardless of position, is accountable for reading, understanding and acting on the contents of all Company-assigned and/or job related Compliance Programs, regulations and policies and procedures, as well as ensure that all Compliance Training assignments are completed by established due dates. This includes but is not limited to, understanding and identifying compliance risks impacting their department(s), ensuring compliance with applicable laws or regulations, and escalating compliance risks to the appropriate level of management. Pay Transparency To provide greater transparency to candidates, we share base salary ranges on all job postings regardless of state. We set standard salary ranges for our roles based on the position, function, and responsibilities, as benchmarked against similarly sized companies in our industry. Specific compensation offered will be determined based on a combination of factors including the candidate's knowledge, skills, depth of work experience, and relevant licenses/credentials. The salary range may vary based on geographic location. The salary range for this position is $99,200.00 - $165,300.00 annually. Additional Compensation Components This job is eligible to receive equity in the form of restricted stock units. This job is eligible to participate in a short-term incentive compensation plan subject to individual and company performance. Benefits Additionally, as part of our Total Rewards program, Fulton Bank offers a comprehensive benefits package to those who qualify. This includes medical plans with prescription drug coverage; flexible spending account or health savings account depending on the medical plan chosen; dental and vision insurance; life insurance; 401(k) program with employer match and Employee Stock Purchase Plan; paid time off programs including holiday pay and paid volunteer time; disability insurance coverage and maternity and parental leave; adoption assistance; educational assistance and a robust wellness program with financial incentives. To learn more about your potential eligibility for these programs, please visit Benefits & Wellness | Fulton Bank. EEO Statement Fulton Bank (“Fulton”) is an equal opportunity employer and is committed to providing equal employment opportunity for all qualified persons. Fulton will recruit, hire, train and promote persons in all job titles, and ensure that all other personnel actions are administered, without regard to race, color, religion, creed, sexual orientation, national origin, citizenship, gender, gender identity, age, genetic information, marital status, disability, covered veteran status, or any other legally protected status. Sponsorship Statement As a condition of employment, individuals must be authorized to work in the United States without sponsorship for a work visa by Fulton Bank currently or in the future.

Top Stack is seeking a contractor to join a long term assignment as a customer processing specialist. The Processing Specialist is responsible for the accurate reconciliation, entry, and verification of transaction data to ensure proper posting to customer accounts. This role supports daily operational processing by maintaining data integrity, meeting strict deadlines, and ensuring compliance with company policies and regulatory standards. Essential Duties and Responsibilities: Reconcile transactions to ensure accurate and timely posting to customer accounts. Enter, review, and verify transaction data using item processing software, including balancing and correcting data from transaction source documents. Prepare, balance, and release outgoing cash letters in accordance with established schedules and departmental deadlines. Review, approve, and reconcile transaction posting totals to ensure operational accuracy and completeness. Adhere to all internal controls, compliance requirements, and audit standards related to transaction processing. Maintain productivity and accuracy during adverse conditions, including weather events, system outages, or other operational disruptions. Escalate discrepancies, processing issues, or system irregularities in accordance with established procedures. Demonstrated proficiency in 10-key numeric data entry with a high level of accuracy and speed. Experienced in processing high-volume financial and transactional data using a 10-key keypad, ensuring precision, efficiency, and adherence to established quality and productivity standards. Knowledge, Skills, and Abilities: Working knowledge of item processing operations and transaction reconciliation. Strong attention to detail and ability to maintain accuracy in a high-volume environment. Proficiency in data entry and verification within banking or financial processing systems. Ability to meet strict deadlines and manage workload under time-sensitive conditions. Understanding of internal controls, regulatory requirements, and operational risk mitigation. Education and Experience: High school diploma or equivalent required; associate degree or coursework in finance, accounting, or business preferred.

JPC Partners is looking for a Fractional ML Engineer or Data Scientist to help our Cybersecurity client analyze and model data from real-time network traffic logs (primarily Zeek conn.log, DNS logs, and NetFlow). Our goal is to extract actionable insights and build lightweight detection models for anomalous behavior, segmentation policy validation, and traffic classification. You'll be working with structured log data and should be comfortable designing and evaluating machine learning workflows that can scale or be embedded into lightweight data pipelines (e.g., Jupyter, Python, cloud-ready). This is part-time/project-based, ideal for someone with a cybersecurity lens and ML fluency. Responsibilities Explore and model Zeek and/or NetFlow log data Help improve existing pipeline logic (cleaning, enrichment, labeling) Build and test supervised and unsupervised models for: Traffic classification (e.g., system personality or app type) Anomaly detection (e.g., port scanning, lateral movement) Baseline behavior for network segmentation enforcement Optionally develop output for visualization or SIEM dashboards Example Use Cases Classify device types based on observed connection patterns Detect rogue internal services using legacy or high-risk ports Map internal east-west traffic to segmentation policy gaps Identify abnormal DNS behavior and data exfiltration attempts Required Skills 3 - 5+ years of professional experience in Data Science, Machine Learning Engineering, or a related field Demonstrated experience working with real-world datasets, model deployment, and production-grade ML workflows Desired Skills Python (Pandas, Scikit-learn, Jupyter), some SQL Experience with GCP and implementing cloud-based ML systems Experience with Zeek, NetFlow, or PCAP-derived data Familiarity with cybersecurity principles (MITRE ATT&CK, segmentation, IDS logic) Bonus: TensorFlow/PyTorch, Docker, experience integrating with SIEMs or cloud logging platforms Experience with implementing LLMs in cloud production environments

Job Description APR Supply Co. is a century-strong leader in the HVAC and Plumbing distribution industry - and we're redefining how data powers our business. As part of our ongoing digital transformation, we're building a modern, AI-enabled data platform centered on Microsoft Fabric to unlock intelligent insights, automate operations, and elevate customer experience. We're seeking an accomplished Data Scientist to help architect and advance this platform-integrating structured and unstructured data, enabling intelligent analytics, and driving the adoption of AI technologies across the enterprise. This is a new, high-impact position with strong executive support and tremendous opportunity to shape the future of data and AI at APR. If you're a data innovator eager to build from the ground up-combining deep technical expertise with strategic influence-this is your chance to make a lasting mark. The Opportunity As APR's Data Scientist, you'll take the lead in developing our Microsoft Fabric-based data ecosystem, from data lake ingestion and transformation to the creation of advanced analytics and AI models. You'll play a hands-on role designing Power BI dashboards and semantic models, while also pioneering the use of multimodal RAG (Retrieval-Augmented Generation), Copilot-style assistants, and AI-driven enrichment of text, image, and video data. This is a greenfield opportunity to define data excellence at APR-turning raw information into real-time decision intelligence and next-generation automation. What You'll Do Develop and maintain our Microsoft Fabric data lake and pipelines (OneLake, Dataflows Gen2, Spark). Build high-performance Power BI models and dashboards that enable enterprise-wide analytics. Integrate structured and unstructured data (text, images, documents, video) into a unified data ecosystem. Contribute to AI-driven solutions, including Retrieval-Augmented Generation (RAG) and Copilot-style tools. Collaborate with cross-functional teams to turn raw data into strategic business insights. What You Bring 5+ years of experience in data science, analytics, or BI development. Strong hands-on skills with Power BI, SQL, and Python. Experience with Microsoft Fabric, Azure Data Factory, or Synapse Pipelines. Familiarity with AI, NLP, or unstructured data processing. Excellent communication skills and the ability to partner with technical and business leaders. Why Join APR Supply Co.? Build the Future: Lead the design of our next-generation AI and data platform. Innovate with Purpose: Apply advanced analytics and AI to solve real business challenges. High Visibility: Work directly with executive leadership to influence enterprise strategy. Career Advancement: Grow toward leadership in AI engineering, data architecture, or product analytics. Join us in shaping the data future of a century-old company transforming through innovation. #IND-APR #ZIP-APR

If you're ready to be part of our legacy of hope and innovation, we encourage you to take the first step and explore our current job openings. Your best is waiting to be discovered. Day - 08 Hour (United States of America) The Data Scientist will be part of a team building Stanford Health Care's (SHC) solutions incorporating Artificial Intelligence including providing health care solutions in the areas of patient care, medical research and administrative services. This group is designed to bring Artificial Intelligence (AI), and other emerging machine learning (ML) based innovations in data science into healthcare and will partner closely with individuals across clinical specialties and operations areas to deploy algorithms that can lead to better patient outcomes. Reporting to the Data Science Director and working closely with Stanford Medicine's inaugural Chief Data Scientist, this role is responsible for developing AI solutions - from predictive algorithms to agentic systems - into healthcare in a safe, ethical and cost-effective manner.This is a Stanford Health Care job. A Brief Overview The Data Scientist will be part of a team building Stanford Health Care's (SHC) solutions incorporating Artificial Intelligence including providing health care solutions in the areas of patient care, medical research and administrative services. This group is designed to bring Artificial Intelligence (AI), predictive algorithms and other emerging machine learning (ML) based innovations in data science into healthcare and will partner closely with individuals across clinical specialties and operations areas to deploy algorithms that can lead to better patient outcomes. Reporting to the Data Science Director and working closely with Stanford Medicine's inaugural Chief Data Scientist, this role is responsible for developing predictive algorithms and other machine learning (ML) based innovations in data science into healthcare in a safe, ethical and cost-effective manner. The individual will design, implement and support ML models for use in the clinic. Locations Stanford Health Care What you will do Build, deploy and maintain AI and ML enabled care workflows. This includes working with others at SHC to design and develop solutions to the problems undertaken by the Data Science group. Evaluate tools, platforms and strategies used by the Data Science group to manage the lifecycle of building models from healthcare data. Train, develop, and validate researcher-built or vendor provided machine learning algorithms on hospital data with strong quality control checks and bias assessments. Education Qualifications PhD/MS degree in statistics, informatics or related field Experience Qualifications PhD: Experience preferred MS Degree: 4+ years of related experience with applied problems Required Knowledge, Skills and Abilities Ability to write code in SQL, R, or Python for processing large datasets in distributed cloud environments, and experience in processing and analyzing healthcare data. Experience developing, evaluating, and implementing machine learning models. Experience working with clinicians and researchers across disciplines to develop approaches for use in clinical care. Experience working in cloud environments or working in a healthcare organization. Graduate level understanding of techniques in machine learning, knowledge representation, and artificial intelligence along with a strong understanding of statistics. Knowledge of software development, machine learning, and technology infrastructure Excellent verbal and written communication skills, strong interpersonal skills, along with demonstrated creativity and latitude in problem solving, including the ability to prioritize and execute multiple competing tasks. Physical Demands and Work Conditions Blood Borne Pathogens Category II - Tasks that involve NO exposure to blood, body fluids or tissues, but employment may require performing unplanned Category I tasks These principles apply to ALL employees: SHC Commitment to Providing an Exceptional Patient & Family Experience Stanford Health Care sets a high standard for delivering value and an exceptional experience for our patients and families. Candidates for employment and existing employees must adopt and execute C-I-CARE standards for all of patients, families and towards each other. C-I-CARE is the foundation of Stanford's patient-experience and represents a framework for patient-centered interactions. Simply put, we do what it takes to enable and empower patients and families to focus on health, healing and recovery. You will do this by executing against our three experience pillars, from the patient and family's perspective: Know Me: Anticipate my needs and status to deliver effective care Show Me the Way: Guide and prompt my actions to arrive at better outcomes and better health Coordinate for Me: Own the complexity of my care through coordination Equal Opportunity Employer Stanford Health Care (SHC) strongly values diversity and is committed to equal opportunity and non-discrimination in all of its policies and practices, including the area of employment. Accordingly, SHC does not discriminate against any person on the basis of race, color, sex, sexual orientation or gender identity and/or expression, religion, age, national or ethnic origin, political beliefs, marital status, medical condition, genetic information, veteran status, or disability, or the perception of any of the above. People of all genders, members of all racial and ethnic groups, people with disabilities, and veterans are encouraged to apply. Qualified applicants with criminal convictions will be considered after an individualized assessment of the conviction and the job requirements. Base Pay Scale: Generally starting at $79.21 - $104.97 per hour The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to, internal equity, experience, education, specialty and training. This pay scale is not a promise of a particular wage.

TAIT partners with artists, brands, IP holders and place makers to bring culture-defining, never-before-seen experiences to life. With a legacy of innovation spanning over 45 years, TAIT has grown from pioneering in rock 'n' roll concert staging to setting the global standard for extraordinary live events and experiences through cutting-edge technology, precision engineering, and creative design. TAIT's 20 global offices have developed iconic productions and experiences in over 30 countries, all seven continents, and even outer space for renowned performers, theme parks, exhibits, and venues across the globe, including partnerships with Taylor Swift, Cirque Du Soleil, Royal Opera House, Nike, NASA, Bloomberg, Google, Beyoncé, and The Olympics Internship Overview The TAIT Internship program is a fully immersive, experiential program. Interns are placed in a department based on their major and interests, but it is up to them to set goals and define their experience at TAIT. We take pride in pushing the boundaries of what's possible, and we're committed to nurturing emerging talent. We're excited to offer a unique and rewarding internship experience that goes beyond the typical coffee runs and photocopying tasks. We're looking for motivated and passionate individuals to join us on this journey of growth, learning, and achievement! Are you ready to roll up your sleeves, challenge yourself, and make a real impact? If so, you're the kind of intern we're looking for. At TAIT, we understand that internships are a two-way street. While you'll be gaining valuable experience, you'll also be contributing to our team and projects in meaningful ways. We encourage you to set your goals, develop your skills, and help shape your own experience. Position Details Position: Generative AI for Business Intern Job Specifications: The Generative AI Intern will work with TAIT's technology and business teams to leverage AI tools for creating, refining, and automating business requirements documentation. This role is hands-on and focused on producing high-quality deliverables that accelerate project scoping and improve requirement accuracy. + Location: West Lincoln Facility in Lititz, PA + Duration: June 2026 - August 2026 + Compensation: $18/hr. + Schedule: Interns are scheduled to work 40 hours per week on 1st shift dependent on projects and business needs + Eligibility: This role is open to U.S. Residents only + Intern Responsibilities: Qualifications To qualify for this internship, you must meet the following: Currently pursuing a degree or equivalent in a related field: + IT + Software + Data + Strong organizational and communication skills. + Ability to work independently and manage multiple tasks + Intern Responsibilities + **AI-Powered Requirement Generation** + Use Generative AI tools to draft initial business requirements for technology projects. + **Deliverable:** At least 3 complete requirement documents generated and validated by Week 6. + **Requirement Refinement & Validation** + Collaborate with stakeholders to review and refine AI-generated requirements for accuracy and completeness. + **Deliverable:** Finalized and approved requirement sets for assigned projects by Week 10. + **Template & Workflow Development** + Create standardized templates and workflows for AI-assisted requirement gathering. + **Deliverable:** Documented process guide and reusable templates by Week 11. + **Final Presentation** + Present findings, process improvements, and recommendations for scaling AI in requirements gathering. + **Deliverable:** Executive summary and live demo in Week 12. Potential Career Paths This position also provides a path for continued growth as a: Project Manager, Generative AI for Business, Developer Why Choose TAIT? + Housing: We offer a housing stipend our onsite interns in PA, NY, FL, CO, NV, and CA. This benefit applies to interns who live more than 50 miles from the worksite and would need to relocate to the area to complete their internship. + Gigs: You may be eligible for full time or part time conversion upon successful completion of your internship program* + Real-World Impact: Your work here won't just be busy work. You'll be an integral part of our team, contributing to projects that truly matter. Previous interns worked on actual projects that have been seen by millions of people! + Professional Growth: We're committed to helping you grow and learn. You'll gain hands-on experience in your chosen field and develop skills that will serve you well in your future career. + Mentorship: You won't be navigating this journey alone. Our team of experts will provide guidance, mentorship, and support to help you excel. + Innovation: We live on the cutting edge of innovation, and you'll be part of our team's creative solutions and groundbreaking ideas. + Networking: Build your professional network by connecting with industry leaders, fellow interns, and our experienced team. Are you ready to embark on a journey of growth, learning, and achievement? Join us and be a part of something special at TAIT. Your internship is not just a step in your career; it's a leap forward. Apply today! TAIT is an equal opportunity employer fully committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran or any other protected characteristic as outlined by international, national, state, or local laws.

Job Description What to Expect: Individual and Cross Functional Projects Throughout 2026 Internship Professional Career Development & Community Outreach Opportunities Final Project Overview Presentation with Executive Leadership Team Fenner Precision Polymers has an exciting internship opportunity in the Sales & Marketing Team at Fenner Momentum Center, in Lititz, PA As part of the Product & Business Development Team, you will: Explore a market vertical and identify potential gaps and opportunities to build a marketing plan / support strategic initiatives Support market research to build a business case (for a new product or market) Create marketing content for a specific market or campaign Accelerate new product development ideas Core Competencies Required Foster collaboration Entrepreneurial spirit Serving our customers Education and/or Relative Experience: A minimum of 3 year of college or technical school in a related field. Business, product and marketing communications skills, SFDC skills

What to Expect: Individual and Cross Functional Projects Throughout 2026 Internship Professional Career Development & Community Outreach Opportunities Final Project Overview Presentation with Executive Leadership Team Fenner Precision Polymers has an exciting internship opportunity in the Sales & Marketing Team at Fenner Momentum Center, in Lititz, PA As part of the Product & Business Development Team, you will: Explore a market vertical and identify potential gaps and opportunities to build a marketing plan / support strategic initiatives Support market research to build a business case (for a new product or market) Create marketing content for a specific market or campaign Accelerate new product development ideas Core Competencies Required Foster collaboration Entrepreneurial spirit Serving our customers Education and/or Relative Experience: A minimum of 3 year of college or technical school in a related field. Business, product and marketing communications skills, SFDC skills

About Your Opportunity: We are seeking an enthusiastic intern to join our Proposal & Business Development Services team, supporting Wohlsen's pursuit of new projects by assisting with qualifications, proposals, and business development services activities. This role is ideal for a detail-oriented individual interested in learning how construction management firms win work through qualifications, proposals, and client relationship management. You should be prepared to work in a fast-paced team environment and will finish the internship having gained experience in proposal and business development support. How You'll Contribute: • Proposal Support o Assist in generating, editing, and finalizing resumes. o Assist in compiling project profiles/experience. o Assist with completion of qualification & proposal forms. o Assist with creating and updating general PowerPoint presentations. • Business Development Support o Assist with creating and updating project profile sheets. o Assist in the creation and updating of business development collateral materials. o Assist in compiling general company/market sector overviews and introductory presentations. o Assist in designing and laying out ads to support regional business development and branding efforts. • CRM Data Management o Enter and revise company and client information in CRM system. o Update and maintain Wohlsen project data, industry awards, etc. o Update and maintain Wohlsen personnel data. • General Support o Creation of Raving Fans posters. o Support the marketing team in daily administrative tasks. o Actively participate in Marketing L10, 1-on-1 meetings, specific project assignment meetings/calls, and other meetings as deemed appropriate. o Maintain inventory, restock, and place orders for proposal/business development supplies. Learning Opportunities • Exposure to the qualification & proposal lifecycle in construction firms. • Understanding of client relationship management data and tracking. • Professional development opportunities include o Emotional Intelligence o Intro to Raving Fans Proposal & Business Development Services Intern o Professionalism o Public Speaking and Presentation Skills Intern Qualifications: • Currently pursuing a degree in business, marketing, communications, or a related field. • Experience with Microsoft Office software systems, particularly Word, Excel, Outlook, and PowerPoint. • Experience with Adobe software systems, particularly InDesign, Illustrator, Photoshop, and Acrobat. • Detail-oriented with excellent organizational skills. • Ability to work in fast-paced environment with tight deadlines. • Strong writing, editing, proofreading, spelling, and grammar for content and materials. • Have a valid driver's license with the ability to travel. Physical Requirements: In a normal day, this position requires little to no standing or walking. In a normal day, the employee must be able to sit for 7+ hours. In a normal day, the employee must be able to drive 1-4 hours. Employee must be able to lift/carry up to 10 lbs. maximum; occasionally carry small objects. In this position, employee occasionally (0-33%) must be able to bend at waist, squat the knees, climb (including ladders), reach above shoulders, kneel, crawl, use feet (foot controls), and/or work at heights above 6 feet. *Note to Recruiters, Placement Agencies, and Similar Organizations: Wohlsen does not accept unsolicited resumes from agencies. Please do not forward unsolicited agency resumes to our website, locations, or to any Wohlsen team member. Wohlsen will not pay fees to any third-party agency or firm and will not be responsible for any agency fees associated with unsolicited resumes. Unsolicited resumes received will be considered property of Wohlsen and will be processed accordingly. It is the policy of Wohlsen Construction to provide equal employment opportunities without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, sexual orientation, gender, gender identity, genetic information, pregnancy, or any other protected characteristic under applicable law. This policy relates to all phases of employment, including, but not limited to, recruiting, employment, placement, promotion, transfer, demotion, reduction of workforce and termination, rates of pay or other forms of compensation, selection for training, the use of all facilities, and participation in all company-sponsored employee activities. The information contained herein is not intended to be an all-inclusive list of the duties and responsibilities of the job, nor are they intended to be an all-inclusive list of the skills and abilities required to do the job. This job description does not constitute a contract of employment and Wohlsen Construction may exercise its employment at-will rights at any time. Powered by JazzHR B97mB4G8NA

The CX Data Science Intern plays a pivotal role in leveraging Statistical programming language (SAS preferred) to analyze and derive actionable insights from data. The primary purpose of this role is to provide the intern with hands-on experience in applying Statistical procedures for data exploration, hypothesis testing, and the development of predictive models. The intern will work closely with the CX Analytics team, contributing to the organization's analytical capabilities and aiding in the creation of robust predictive models that enhance decision-making processes. Major Responsibilities: Data Exploration: • Engage in comprehensive exploratory data analysis (EDA) to understand the characteristics, patterns, and distributions within the dataset using SAS. • Utilize SAS procedures to uncover key insights from raw data. Statistical Modeling: • Contribute to the development of statistical models, with strong understanding on techniques such as linear regression, logistic regression, and other relevant methods. • Apply statistical methods to handle complex data structures and relationships. Model Evaluation and Interpretation: • Assist in the evaluation of model performance using statistical metrics and validation techniques. • Interpret model results and communicate findings to both technical and non-technical stakeholders. Qualifications: • Bachelor's Degree in a quantitative graduate program required • Currently pursuing a graduate degree in applied statistics, mathematics, business analytics, data science. • 1 year of good knowledge of statistical concepts using SAS experience • 1 year of Experience in building regression models in academic projects using SAS • Understanding and application of various machine learning algorithms for predictive modeling, including linear regression, logistic regression, decision trees, random forests, and gradient boosting. • Good knowledge of SAS programming language • Strong written and verbal communication skills; good presentation skills • Good time management and organizational skills • Supervisory, coaching and teaching skills • Able to work independently and within a team. • Able to manage a cross-functional team toward a shared objective. • Regular, predictable, full attendance is an essential function of the job • Willingness to work the required schedule, work at the specific location required, complete Penske employment application, submit to a background investigation (to include past employment, education, and criminal history) and drug screening are required. Physical Requirements: -The physical and mental demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. -The associate will be required to: read; communicate verbally and/or in written form; remember and analyze certain information; and remember and understand certain instructions or guidelines. -While performing the duties of this job, the associate may be required to stand, walk, and sit. The associate is frequently required to use hands to touch, handle, and feel, and to reach with hands and arms. The associate must be able to occasionally lift and/or move up to 25lbs/12kg. -Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception and the ability to adjust focus. Penske is an Equal Opportunity Employer

Data Analyst - 87IB6E We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future. Hartford Funds is seeking a bright and motivated Data Analyst to join our Data Quality team. This role is central to ensuring the accuracy, reliability, and operational excellence of the firm's data ecosystem. The analyst will monitor and manage daily data operations, triage and resolve data quality alerts, support ongoing data quality initiatives, and collaborate closely with internal stakeholders and external data providers. In addition, the role contributes to longer term improvements that reduce operational risk and strengthen trust in the firm's data. Responsibilities: Triage data quality alerts, coordinate with stakeholders, communicate ETAs, and track remediation. Perform rapid root‑cause analysis across pipelines, applications, and source systems; document and drive corrective actions. Develop new controls based on analysis and feedback from business partners. Collect, analyze, and interpret data to identify trends, patterns, and opportunities for improvement and/or correction. Work with vendors and/or internal systems to improve quality and timeliness of data. Ensure data accuracy and integrity by performing regular data audits and validation. Maintain documentation (runbooks, SOPs, data controls, lineage maps, validation coverage). Design, build, and maintain data quality & operational dashboards Contribute to data standards, definitions, and quality KPIs with data stewards and governance leaders. Execute time‑sensitive analysis for sales, distribution, product, and investments teams using SQL/Python/BI tools. Translate business questions into queries/metrics; deliver findings with clear narrative, visuals, and recommended actions. Qualifications: Bachelor's degree in Information Systems, Data Management, Business, Analytics, or related field. 3+ years of experience in data operations, data quality, or related data management disciplines. Experience developing dashboards in Tableau. Experience building validation rules, exception workflows, and data quality controls. Strong understanding of data lifecycle, data pipelines, ingestion workflows, and data dependencies. Strong proficiency in SQL (ability to interpret and write queries and validation rules). Strong problem solving under time pressure; ability to own incidents end-to-end. Skilled in developing process documentation, SOPs, and operational playbooks. Excellent communication skills, able to simplify technical issues for business stakeholders. Strong organizational skills with the ability to manage multiple priorities simultaneously. Knowledge of reference/master data management and metadata practices. Preferred Qualifications: Experience with Python or data automation workflows. Familiarity with data governance frameworks Compensation The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is: $85,000 - $115,000 Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age About Us | Our Culture | What It's Like to Work Here | Perks & Benefits

Piper Companies is seeking Data Quality Analyst to join our Data Quality team in Wayne, PA. This role is 4 days ONSITE. This role is central to ensuring the accuracy, reliability, and operational excellence of the firm's data ecosystem. The analyst will monitor and manage daily data operations, triage and resolve data quality alerts, support ongoing data quality initiatives, and collaborate closely with internal stakeholders and external data providers. Responsibilities of Data Quality Analyst: * Triage data quality alerts, coordinate with stakeholders, communicate ETAs, and track remediation. * Perform root‑cause analysis across pipelines, applications, and source systems; document and drive corrective actions. * Develop new controls based on analysis and feedback from business partners. * Collect, analyze, and interpret data to identify trends, patterns, and opportunities for improvement. * Work with vendors and/or internal systems to improve quality and timeliness of data. * Ensure data accuracy and integrity by performing regular data audits and validation. * Maintain documentation (runbooks, SOPs, data controls, lineage maps, validation coverage). * Design, build, and maintain data quality & operational dashboards in Tableau. * Contribute to data standards, definitions, and quality KPIs with data stewards and governance leaders. * Execute time‑sensitive analysis for sales, distribution, product, and investments teams using SQL/Python/BI tools. Qualifications / Requirements Data Quality Analyst: * Bachelor's degree in Information Systems, Data Management, Business, Analytics, or related field. * 3+ years of experience in data operations, data quality, or related data management disciplines. * Experience developing dashboards in Tableau. * Strong proficiency in SQL (interpret and write queries and validation rules). * Experience building validation rules, exception workflows, and data quality controls. * Strong understanding of data lifecycle, pipelines, ingestion workflows, and dependencies. * Excellent communication and problem-solving skills under time pressure. * Skilled in developing process documentation, SOPs, and operational playbooks. Compensation: * $85,000 - $115,000 annual base salary * Additional incentives may include bonuses, long-term incentives, and recognition programs. * Work environment: 4 days ONSITE in Wayne, PA This job opens for applications on 1/26/2026. Applications for this job will be accepted for at least 30 days from the posting date. Keywords: Data Analyst, Data Quality, Data Operations, SQL, Tableau, Data Governance, Data Validation, Data Pipelines, Python, Wayne PA, Hartford Funds, onsite/hybrid.

Eurofins Scientific is an international life sciences company, providing a unique range of analytical testing services to clients across multiple industries, to make life and our environment safer, healthier and more sustainable. From the food you eat, to the water you drink, to the medicines you rely on, Eurofins works with the biggest companies in the world to ensure the products they supply are safe, their ingredients are authentic and labelling is accurate. Eurofins is the global leader in food, environment, pharmaceutical and cosmetic product testing and in agroscience Contract Research Organisation services. Eurofins is one of the market leaders in certain testing and laboratory services for genomics, discovery pharmacology, forensics, advanced material sciences and in the support of clinical studies, as well as having an emerging global presence in Contract Development and Manufacturing Organisations. The Group also has a rapidly developing presence in highly specialised and molecular clinical diagnostic testing and in-vitro diagnostic products. In over just 30 years, Eurofins has grown from one laboratory in Nantes, France to 55,000 staff across a decentralised and entrepreneurial network of 900 laboratories in over 50 countries. Eurofins offers a portfolio of over 200,000 analytical methods to evaluate the safety, identity, composition, authenticity, origin, traceability and purity of biological substances and products. Job Description Eurofins Biopharmaceutical is looking for an Associate Scientist to support Data Review of our Biochemistry team. The Associate Scientist position is considered an entry-level opportunity that will allow for hands on development and growth in day-to-day activities supporting a laboratory setting under prescribed processes (protocols, standard operating procedures, methods, etc.). The Data Review requirement of this position will also allow for development and assignment of responsibilities that include reviewing scientific reports under CGMP guidelines, assisting with internal audits, review of scientific reports to ensure regulatory requirements have been met, data tracking and reporting. This position will provide a balance schedule to support both laboratory and data tracking operations and is seeking a potential candidate that is interested in learning both aspects within a lab setting. Employee Responsibilities and Qualifications: Ensure that the client receives quality data by reviewing laboratory data for accuracy, clarity, and adherence to GMP and/or GLP regulations. Review simple and complex routine and non-routine data (for three or more areas) according to departmental, corporate, and client SOPs; read and understand analytical procedures; ensure all work is performed according to GLP/GMP requirements and apply GLP/GMP in all areas of responsibility Experience in a laboratory setting or GMP pharmaceutical setting. Ensure that the client receives quality data by reviewing laboratory data for accuracy, clarity, and adherence to GMP and/or GLP regulations Review simple and complex routine and non-routine data (for three or more areas) according to departmental, corporate, and client SOPs; read and understand analytical procedures; ensure all work is performed according to GLP/GMP requirements and apply GLP/GMP in all areas of responsibility as appropriate Good organizational skills; ability to follow direction and good communication skills are required. Strong computer, scientific, and organizational skills. Excellent communication (oral and written) and attention to detail. Ability to work independently and as part of a team, self-motivation, adaptability, and a positive attitude. Ability to learn new techniques, perform multiple tasks simultaneously, keep accurate records, follow instructions, and comply with company policies. Qualifications Minimum Qualifications: Bachelors Degree in a LIFE SCIENCE field such as Chemistry, Biochemistry, and Biology required Authorization to work in the United States indefinitely without restriction or sponsorship Additional Information Position is full-time, Monday-Friday, 8am - 5 pm., with additional hours, as needed.Candidates currently living within a commutable distance of Lancaster, Pennsylvania are encouraged to apply. This position is NOT remote. We offer excellent full-time benefits including: comprehensive medical coverage, life and disability insurance, 401(k) with company match, paid holidays and vacation, dental and vision options. To learn more about Eurofins, please explore our website ****************** . Eurofins USA BioPharma Services is a Disabled and Veteran Equal Employment Opportunity employer.

About Your Opportunity: We are seeking an enthusiastic intern to join our Proposal & Business Development Services team, supporting Wohlsen's pursuit of new projects by assisting with qualifications, proposals, and business development services activities. This role is ideal for a detail-oriented individual interested in learning how construction management firms win work through qualifications, proposals, and client relationship management. You should be prepared to work in a fast-paced team environment and will finish the internship having gained experience in proposal and business development support. How You'll Contribute: • Proposal Support o Assist in generating, editing, and finalizing resumes. o Assist in compiling project profiles/experience. o Assist with completion of qualification & proposal forms. o Assist with creating and updating general PowerPoint presentations. • Business Development Support o Assist with creating and updating project profile sheets. o Assist in the creation and updating of business development collateral materials. o Assist in compiling general company/market sector overviews and introductory presentations. o Assist in designing and laying out ads to support regional business development and branding efforts. • CRM Data Management o Enter and revise company and client information in CRM system. o Update and maintain Wohlsen project data, industry awards, etc. o Update and maintain Wohlsen personnel data. • General Support o Creation of Raving Fans posters. o Support the marketing team in daily administrative tasks. o Actively participate in Marketing L10, 1-on-1 meetings, specific project assignment meetings/calls, and other meetings as deemed appropriate. o Maintain inventory, restock, and place orders for proposal/business development supplies. Learning Opportunities • Exposure to the qualification & proposal lifecycle in construction firms. • Understanding of client relationship management data and tracking. • Professional development opportunities include o Emotional Intelligence o Intro to Raving Fans Proposal & Business Development Services Intern o Professionalism o Public Speaking and Presentation Skills Intern Qualifications: • Currently pursuing a degree in business, marketing, communications, or a related field. • Experience with Microsoft Office software systems, particularly Word, Excel, Outlook, and PowerPoint. • Experience with Adobe software systems, particularly InDesign, Illustrator, Photoshop, and Acrobat. • Detail-oriented with excellent organizational skills. • Ability to work in fast-paced environment with tight deadlines. • Strong writing, editing, proofreading, spelling, and grammar for content and materials. • Have a valid driver's license with the ability to travel. Physical Requirements: In a normal day, this position requires little to no standing or walking. In a normal day, the employee must be able to sit for 7+ hours. In a normal day, the employee must be able to drive 1-4 hours. Employee must be able to lift/carry up to 10 lbs. maximum; occasionally carry small objects. In this position, employee occasionally (0-33%) must be able to bend at waist, squat the knees, climb (including ladders), reach above shoulders, kneel, crawl, use feet (foot controls), and/or work at heights above 6 feet. *Note to Recruiters, Placement Agencies, and Similar Organizations: Wohlsen does not accept unsolicited resumes from agencies. Please do not forward unsolicited agency resumes to our website, locations, or to any Wohlsen team member. Wohlsen will not pay fees to any third-party agency or firm and will not be responsible for any agency fees associated with unsolicited resumes. Unsolicited resumes received will be considered property of Wohlsen and will be processed accordingly. It is the policy of Wohlsen Construction to provide equal employment opportunities without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, sexual orientation, gender, gender identity, genetic information, pregnancy, or any other protected characteristic under applicable law. This policy relates to all phases of employment, including, but not limited to, recruiting, employment, placement, promotion, transfer, demotion, reduction of workforce and termination, rates of pay or other forms of compensation, selection for training, the use of all facilities, and participation in all company-sponsored employee activities. The information contained herein is not intended to be an all-inclusive list of the duties and responsibilities of the job, nor are they intended to be an all-inclusive list of the skills and abilities required to do the job. This job description does not constitute a contract of employment and Wohlsen Construction may exercise its employment at-will rights at any time.