Data Science Internship jobs at IBM

We are seeking a highly skilled and detail-oriented Sales Operations and Data Analyst to join our dynamic team. The ideal candidate will have strong analytical and problem-solving skills, with a solid understanding of financial principles and data management. Qualifications: Education: Bachelor's degree in finance, Accounting, Economics, Statistics, Data Analyst, or a related quantitative field. Experience: Prior experience in data analytics, finance operations, or payments within the technology sector is highly valued. Proficiency in CRM and ERP systems, and other financial tools for effective data management and reporting. Technical Proficiency: Experience with data analysis tools and techniques, with an ability to handle large datasets and complex systems. Strong financial acumen with an understanding of rebates, pricing discounts, claims and payments. Demonstrated analytical skills with the ability to identify trends and propose process improvements. Excellent communication skills for effective interaction with channel partners, internal sales teams, and other departments.

Role: Data Scientist with Python ML/NLP Yrs. of experience: 10+ Yrs. Fulltime Job Responsibilities: We're looking for a Data Scientist who can be responsible for designing, building and maintaining document capture applications. The ideal candidate will have a solid background in software engineering with experience in building Machine Learning NLP Models and good familiarity with Gen AI Models. High Level Skills Required Primary - 7+ years' as Data Scientist or related roles Bachelor's degree in Computer Science, or a related technical field Deep understanding and some exposure to new Gen AI Open-source Models At least 5 years programming experience in software development and Agile process At least 5 years Python (or equivalent) programming experience to work with ML/NLP models.

Dear, I hope you're doing well! I lead Recruiting for EXL Service, a global leader in the AI & Analytics space here in the U.S. We're building exceptional teams in Data Engineering to power the next wave of intelligent, data-driven solutions for our clients across industries. Your background in Data Scientist (GenAI + Python) caught my attention, and I'd love to connect to explore how your expertise might align with our exciting opportunities. If you're open to a conversation, let's set up a quick call to discuss your experience, career aspirations, Compensations and Benefits and the innovative work we're doing at EXL. Looking forward to connecting! If you are interested please send me your updated word format resume to ****************************** and reach me @ ************. Job Title: Data Scientist (GenAI + Python) Location: Hartford, CT (hybrid) Duration: Full Time Minimum Experience: 3+ years in Data Science Role Overview: We are seeking an experienced Data Scientist with deep expertise in Generative AI and Python to design, develop, and deploy advanced AI models that drive innovation and deliver impactful solutions. This role involves working on cutting-edge projects, leveraging large language models (LLMs), multimodal AI, and generative techniques to solve complex business problems. Key Responsibilities: Develop and evaluate LLM-powered solutions such as summarization, classification, extraction and conversational assistants Design prompt strategies, RAG architectures, and fine-tuning/adapter approaches where appropriate Apply NLP and ML methods: text classification, topic modeling, semantic search, embeddings, clustering, regression/causal inference as needed Develop Python-based prototypes and evaluation frameworks for LLM and GenAI use cases Advanced use of object-oriented programming and functional programming patterns for ML workflows Key Qualifications: 3+ years' experience in Data Science/ML with demonstrable GenAI/LLM project experience Strong Python skills (pandas, numpy, scikit-learn; plus LangChain/LLamaIndex OR direct SDKs like OpenAI/Vertex AI/Hugging Face) Hands-on with embeddings, vector search, RAG, prompt design, and LLM evaluation Solid grounding in statistics & experimentation: hypothesis testing, confidence intervals, power analysis, A/B testing design

Role: HEDIS Data Analyst Key Responsibilities Must have HEDIS Analytics & Reporting Develop, validate, and maintain HEDIS measure calculations based on NCQA specifications. Extract, transform, and analyse data from claims, eligibility, EHR, pharmacy, and lab systems. Support annual HEDIS submissions, including numerator/denominator validation, audit documentation, and data quality checks. Conduct trending, gap analysis, and performance monitoring for all HEDIS measures. Generate weekly/monthly dashboards for stakeholder consumption. Data Engineering & ETL Support Develop and optimize SQL queries, ETL pipelines, and data transformations. Collaborate with IT/data engineering teams to improve data quality and resolve inconsistencies. Create field mappings, data lineage documentation, and technical specifications. Chart Review / Hybrid Measures Produce and manage provider retrieve lists for medical record collection. Validate chart abstraction output for accuracy and completeness. Support provider outreach related to missing documentation and care gaps. Cross-Functional Collaboration Partner with Quality Improvement, Clinical, Provider Relations, and Compliance teams to support initiatives. Provide guidance on data anomalies, measure interpretation, and technical HEDIS questions. Present insights and trend analyses to leadership. Audit & Compliance Assist with HEDIS Compliance Audit preparation and documentation. Ensure adherence to NCQA guidelines and regulatory requirements. Maintain audit trails and detailed reporting artifacts. Technical Skills Advanced SQL (required). Experience working with healthcare payer datasets (claims, eligibility, provider, EMR, pharmacy, lab). Understanding of healthcare coding standards (ICD-10, CPT, HCPCS, LOINC, NDC). HEDIS / Healthcare Domain Knowledge Deep understanding of NCQA HEDIS technical specifications. Experience with hybrid and administrative measures. Knowledge of HEDIS audit processes and regulatory timelines. Familiarity with care gap workflows and quality improvement strategies.

Role: Applied Data Scientist/ Data Science Engineer Yrs. of experience: 8+ Yrs. Job type : Fulltime Job Responsibilities: You will be part of a team that innovates and collaborates with internal stakeholders to deliver world-class solutions with a customer first mentality. This group is passionate about the data science field and is motivated to find opportunity in, and develop solutions for, evolving challenges. You will: Solve business and customer issues utilizing AI/ML - Mandatory Build prototypes and scalable AI/ML solutions that will be integrated into software products Collaborate with software engineers, business stakeholders and product owners in an Agile environment Have complete ownership of model outcomes and drive continuous improvement Essential Requirements: Strong coding skills in Python and SQL - Mandatory Machine Learning knowledge (Deep learning, Information Retrieval (RAG), GenAI , Classification, Forecasting, Regression, etc. on large datasets) with experience in ML model deployment Ability to work with internal stakeholders to transfer business questions into quantitative problem statements Ability to effectively communicate data science progress to non-technical internal stakeholders Ability to lead a team of data scientists is a plus Experience with Big Data technologies and/or software development is a plus

About Company, Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction. Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed. At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients. Join us to challenge yourself and accomplish work that matters. Here's the job details, Data Scientist with Gen Ai and Python experience Palo Alto CA- 5 days Onsite Interview Mode:-Phone & F2F Job Overview: Competent Data Scientist, who is independent, results driven and is capable of taking business requirements and building out the technologies to generate statistically sound analysis and production grade ML models DS skills with GenAI and LLM Knowledge, Expertise in Python/Spark and their related libraries and frameworks. Experience in building training ML pipelines and efforts involved in ML Model deployment. Experience in other ML concepts - Real time distributed model inferencing pipeline, Champion/Challenger framework, A/B Testing, Model. Familiar with DS/ML Production implementation. Excellent problem-solving skills, with attention to detail, focus on quality and timely delivery of assigned tasks. Azure cloud and Databricks prior knowledge will be a big plus. Droisys is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment.

We are seeking a junior-level Data Science professional with a strong academic foundation and early hands-on experience to join our team as a Exploitation Specialist. The ideal candidate will hold a bachelor's degree in a data science-related field and bring internship or project experience that demonstrates curiosity, initiative, and a willingness to learn from senior team members. This role is a great opportunity for someone eager to grow their technical skill set while supporting a high-impact mission. Required Qualifications Active TS/SCI clearance with the willingness to obtain a CI polygraph Ability to work onsite in Northern Virginia, 40 hours per week (telework options are extremely limited) Proficiency with Python and SQL Preferred Qualifications Familiarity with GEOINT collection and related NGA/NRO systems Experience with additional programming languages such as R, JavaScript, HTML, and CSS Understanding of object-oriented programming Experience using visualization tools such as Grafana, Tableau, or Kibana Ability to quickly learn new technologies, adapt to evolving mission requirements, and support the development/testing of new analytic methodologies

Our client is currently seeking a Data Analyst Hybrid to the northern suburbs of Chicago W2 Only In this role, you'll evaluate usage, adoption, and performance of IIN systems, identify data mining opportunities, and integrate findings with key performance indicators. You'll collaborate with cross-functional teams to deliver dashboards, reports, and scorecards that inform strategy. What You'll Do Analyze usage, adoption, and efficacy of IIN systems. Identify and execute data mining opportunities. Integrate insights with traditional KPIs. Provide analytical support for projects and stakeholders. Develop and share dashboards, reports, and scorecards. Ensure data accuracy, format, and availability. What We're Looking For Bachelor's degree in Statistics, Data Science, Mathematics, or related field. Strong analytical skills and ability to interpret complex datasets. Advanced Excel skills (pivot tables, VLOOKUP, Power Query, visualization). Expertise in Tableau for dashboard design and optimization. Hands-on experience with Snowflake and SQL for data warehousing and analysis. Strong business acumen and ability to align data strategies with goals. Excellent communication and collaboration skills. Nice to Have Experience with KPI reporting and BI tools. Familiarity with advanced data visualization techniques. Rate: $65-90/HR

We're looking for a data-driven professional to join our team as a Data Analyst - Statistician, responsible for turning complex data into actionable insights that drive business decisions. In this role, you'll evaluate usage, adoption, and efficacy systems, uncover data mining opportunities, and integrate findings with traditional KPIs. You'll also support analytical projects, guide data formatting and availability, and deliver impactful reports, scorecards, and dashboards. What You'll Do: Analyze and interpret large datasets to identify trends and opportunities. Evaluate system performance and effectiveness, integrating insights with KPIs. Provide analytical support for cross-functional projects. Design and share reports, dashboards, and scorecards to inform stakeholders. Collaborate with teams to ensure data accessibility and quality. Perform additional duties as assigned by your manager. Core Competencies: Data Analysis & Interpretation: Ability to transform complex data into actionable insights. Excel Expertise: Advanced skills in pivot tables, VLOOKUP, Power Query, and data visualization. Tableau: Skilled in creating interactive dashboards and optimizing performance. Snowflake: Hands-on experience with data warehousing and efficient SQL queries. SQL Proficiency: Strong ability to write and optimize queries for data extraction and analysis. Business Acumen: Align data strategies with organizational goals. Collaboration & Communication: Work effectively with product owners, engineers, and stakeholders.

Titan Technologies, LLC (Titan) is seeking an experienced, self-directed, Data Analyst to support the Special Operations Forces Information Technology Enterprise Contract (SITEC) III contract. As a member of our team, you will help to assist USSOCOM, Service Component Commands, Theater Special Operations Commands (TSOC), and deployed forces in the delivery of a full spectrum of Information Technology (IT) services to operate and maintain information flow, communications, and connectivity globally. The Data Analyst, Journeyman (JNY), is responsible for analyzing structured and unstructured data to support decision-making across USSOCOM. This role involves working with data sets from various sources to develop reports, dashboards, and visualizations that help leadership and operational teams gain actionable insights. The analyst will collaborate with database administrators, system engineers, and mission stakeholders to deliver high-quality, data-driven visualization solutions in support of SOCOM's mission. The ideal candidate will possess strong analytical skills, attention to detail, and experience working with data tools and visualization platforms. This position requires familiarity with databases, data modeling, business intelligence (BI) tools, and basic programming to extract and transform data from multiple environments. Duties include, but are not limited to: Collecting, cleaning, transforming, and analyzing large data sets from multiple sources to identify trends and support decision-making. Developing and maintaining dashboards and visualizations using tools such as Tableau, Power BI, or other BI platforms. Working closely with stakeholders to gather reporting requirements and design user-friendly reports and data visualizations. Writing queries and scripts in SQL to extract, manipulate, and analyze data from enterprise databases. Writing queries and scripts in Microsoft Excel to extract, manipulate, and analyze data from legacy sources. Supporting the generation of recurring and ad hoc reports for operational and leadership teams. Contributing to the design and implementation of data models and workflows that enhance reporting efficiency. Conducting data quality checks to ensure accuracy and consistency of reporting outputs. Documenting data sources, processes, and report specifications for continuity and audit readiness. Collaborating with IT teams and database administrators to troubleshoot data access and integration issues. Providing analytical support for strategic initiatives, operational planning, and mission readiness assessments. Ensuring compliance with USSOCOM data governance, classification, and cybersecurity standards. Presenting findings and recommendations in a clear, concise manner to both technical and non-technical audiences. Qualifications Education & Experience: High school diploma with a minimum of 6 years of relevant experience, 4 years experience with Associate's, OR 2 years experience with Bachelor's. Security Clearance: Active DoD TS/SCI clearance or higher is required. Experience in data modeling, transformation, and visualization. Familiarity with SQL and experience writing queries for data extraction and analysis. Knowledge of at least one object-oriented programming language (e.g., Python, Java, C++, or .NET). Proficiency in Microsoft Office Suite, including Excel and Access. Ability to develop data visualizations that inform leadership decisions. Strong written and verbal communication skills. Certifications: Must hold a DoD 8570.01-M IAT Level II certification Desired Qualifications: Experience with Microsoft SharePoint integration for data visualization or workflow automation.

In the role of Data Analyst with Pyspark & AB Testing experience, you will be responsible for solving business problem for our Retail/CPG clients through data driven insights. Your role will combine a judicious and tactful blend of Hi-Tech domain, Analytical experience, Client interfacing skills, and solution design and business acumen so your insights not only enlighten the clients but also pave the way for launching deeper into future analysis. You will advise clients and internal teams through short burst high-impact engagements on identifying business problem, solving business problem through suitable approaches and techniques pertaining to learning and technology. You will effectively communicate data-derived insights to non-technical audiences appropriately and mentor junior or aspiring consultant/data scientists. You will play a key role in building components of a framework or product while addressing practical business problems. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued. Required Qualifications: Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. Candidate must be located within commuting distance of Sunnyvale, CA or be willing to relocate to these locations. This position may require travel within the US. Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time. At least 4 years of experience in Information Technology Proven years of applied experience in exploratory data analysis, devising, deploying and servicing statistical models Strong hands-on experience with data mining and data visualization, Tableau, A/B Testing, SQL for developing and creating data pipelines to source and transform Data Strong experience using Python, Advanced SQL and PySpark Preferred Qualifications: Advanced degree with Master's or above in area of quantitative discipline such as Statistics, Applied Math, Operations Research, Computer Science, Engineering or Physics or a related field Marketing domain background (Web analytics, click stream data analysis, and other KPI's on marketing campaigns) Knowledge of Machine Learning techniques The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements. EEO/About Us : About Us Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem. EEO Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability. Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.

NYC NY / Hybrid 12+ Months Project - Leveraging Llama to extract cybersecurity insights out of unstructured data from their ticketing system. Must have strong experience with: Llama Python Hadoop MCP Machine Learning (ML) They need a strong developer - using llama and Hadoop (this is where the data sits), experience with MCP. They have various ways to pull the data out of their tickets but want someone who can come in and make recommendations on the best way to do it and then get it done. They have tight timelines. Thanks and Regards! Lavkesh Dwivedi ************************ Amtex System Inc. 28 Liberty Street, 6th Floor | New York, NY - 10005 ************ ********************

Are you a problem solver looking for a hands-on internship position with a market-leading company that will help develop your career and reward you intellectually and professionally? About Analog Devices Analog Devices, Inc. (NASDAQ: ADI ) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible. Learn more at ************** and on LinkedIn and Twitter (X). At ADI, you will learn from the brightest minds who are here to help you grow and succeed. During your internship, you will make an impact through work on meaningful projects alongside a team of experts. Collaborating with colleagues in an environment of respect and responsibility, you will create connections that will become a part of your professional network. ADI's culture values aligned goals, work-life balance, continuous and life-long learning opportunities, and shared rewards. The internship program features various lunch-and-learn topics and social events with other interns and full-time employees. At ADI, our goal is to develop our interns so they are the first to be considered for full-time roles. Apply now for the opportunity to grow your career and help innovate ahead of what's possible. As a Data Engineering Intern you'll work closely with the data engineering and analytics teams to gain hands-on experience in building and maintaining data infrastructure while developing predictive models for operational insights. This role offers exposure to data pipeline development, database management, and advanced analytics techniques, including AI/ML. You will collaborate with engineers across the organization on data gathering, curation, analysis, and validation to support scalable solutions. Key Responsibilities * Assist in designing and developing ETL pipelines for data extraction, transformation, and loading. * Work with data warehousing solutions such as Redshift or Snowflake. * Develop and deploy predictive models for operational efficiency using statistical and machine learning techniques. * Write and modify scripts in Python or R for data manipulation and analysis. * Collaborate with cross-functional teams to understand data infrastructure needs and best practices. * Ensure data integrity, accuracy, and consistency across all processes. Preferred Qualifications * Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field. * Proven academic or project experience in data analysis and modeling. Skills & Qualifications * Basic knowledge of SQL and relational/non-relational databases. * Familiarity with scripting languages (Python or R); exposure to JavaScript, Apache Spark, and MongoDB is a plus. * Strong foundation in statistics and predictive modeling; AI/ML exposure preferred. * Interest in ETL processes, scalable data pipelines, and data architecture. * Excellent attention to detail and communication skills For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position - except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) - may have to go through an export licensing review process. Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group. EEO is the Law: Notice of Applicant Rights Under the Law. Job Req Type: Internship/Cooperative Required Travel: No The expected wage range for a new hire into this position is $22 to $41. Actual wage offered may vary depending on work location, experience, education, training, external market data, internal pay equity, or other bona fide factors.

Are you a problem solver looking for a hands-on internship position with a market-leading company that will help develop your career and reward you intellectually and professionally? Analog Devices, Inc. (NASDAQ: ADI ) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible™. Learn more at ************** and on LinkedIn and Twitter (X). At ADI, you will learn from the brightest minds who are here to help you grow and succeed. During your internship, you will make an impact through work on meaningful projects alongside a team of experts. Collaborating with colleagues in an environment of respect and responsibility, you will create connections that will become a part of your professional network. ADI's culture values aligned goals, work-life balance, continuous and life-long learning opportunities, and shared rewards. The internship program features various lunch-and-learn topics and social events with other interns and full-time employees. At ADI, our goal is to develop our interns so they are the first to be considered for full-time roles. Apply now for the opportunity to grow your career and help innovate ahead of what's possible. As a Data Engineering Intern you'll work closely with the data engineering and analytics teams to gain hands-on experience in building and maintaining data infrastructure while developing predictive models for operational insights. This role offers exposure to data pipeline development, database management, and advanced analytics techniques, including AI/ML. You will collaborate with engineers across the organization on data gathering, curation, analysis, and validation to support scalable solutions. Key Responsibilities Assist in designing and developing ETL pipelines for data extraction, transformation, and loading. Work with data warehousing solutions such as Redshift or Snowflake. Develop and deploy predictive models for operational efficiency using statistical and machine learning techniques. Write and modify scripts in Python or R for data manipulation and analysis. Collaborate with cross-functional teams to understand data infrastructure needs and best practices. Ensure data integrity, accuracy, and consistency across all processes. Preferred Qualifications Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field. Proven academic or project experience in data analysis and modeling. Skills & Qualifications Basic knowledge of SQL and relational/non-relational databases. Familiarity with scripting languages (Python or R); exposure to JavaScript, Apache Spark, and MongoDB is a plus. Strong foundation in statistics and predictive modeling; AI/ML exposure preferred. Interest in ETL processes, scalable data pipelines, and data architecture. Excellent attention to detail and communication skills For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position - except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) - may have to go through an export licensing review process. Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group. EEO is the Law: Notice of Applicant Rights Under the Law. Job Req Type: Internship/CooperativeRequired Travel: NoThe expected wage range for a new hire into this position is $22 to $41. Actual wage offered may vary depending on work location, experience, education, training, external market data, internal pay equity, or other bona fide factors.

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today - ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. Job Description The ServiceNow Security Organization delivers world-class, innovative security solutions to reduce risk and protect the company and our customers. We enable our customers to migrate their most sensitive data and workloads to the cloud, accelerating our business so that we are the most trusted SaaS provider. We create an environment where our employees are proud to work and can make a positive impact. Job Responsibilities: The Data Informatics Analytics Intern will be responsible for conducting ad-hoc analyses, dashboard creation, and predictive analytics for the security organization at ServiceNow. This individual must possess high business acumen as well as a strong understanding of data and analytics to drive impactful business decisions. Responsibilities include but are not limited to: * Conduct ad-hoc analyses based on shifting business needs using SQL, Python, R, and/or Excel * Regularly present to organization leaders on the insights they uncover * Create reporting capabilities using PowerBI * Take a proactive approach to analytics to suggest the next best steps based on initial insights * Pull/combine various (sometimes disparate) datasets together accurately and efficiently * - Provide compelling data visualizations that drive business leaders towards data-driven decisions Qualifications * Current enrollment in a full-time Master's program in Computer Science or a related discipline at an accredited university. * Graduating December 2026, or later * Excellent Power BI experience and skills * Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry. * 1-2 years of analytics, data, engineering, and/or data science experience * Strong understanding of relational databases * Snowflake experience is a plus * Intermediate to Advanced SQL knowledge is a must * Python proficiency is preferred * Proactive attitude and approach to work * Ability to effectively prioritize deliverables with high quality and on-time delivery * Excellent verbal and written communications skills, and problem solving, presentation abilities, and strong business acumen For positions in this location, we offer a base pay of $43.04/hr, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact ***************************** for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. 2025 Fortune Media IP Limited. All rights reserved. Used under license.

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today - ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500 . Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. Job Description The ServiceNow Security Organization delivers world-class, innovative security solutions to reduce risk and protect the company and our customers. We enable our customers to migrate their most sensitive data and workloads to the cloud, accelerating our business so that we are the most trusted SaaS provider. We create an environment where our employees are proud to work and can make a positive impact. Job Responsibilities: The Data Informatics Analytics Intern will be responsible for conducting ad-hoc analyses, dashboard creation, and predictive analytics for the security organization at ServiceNow. This individual must possess high business acumen as well as a strong understanding of data and analytics to drive impactful business decisions. Responsibilities include but are not limited to: Conduct ad-hoc analyses based on shifting business needs using SQL, Python, R, and/or Excel Regularly present to organization leaders on the insights they uncover Create reporting capabilities using PowerBI Take a proactive approach to analytics to suggest the next best steps based on initial insights Pull/combine various (sometimes disparate) datasets together accurately and efficiently - Provide compelling data visualizations that drive business leaders towards data-driven decisions Qualifications Current enrollment in a full-time Master's program in Computer Science or a related discipline at an accredited university. Graduating December 2026, or later Excellent Power BI experience and skills Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry. 1-2 years of analytics, data, engineering, and/or data science experience Strong understanding of relational databases Snowflake experience is a plus Intermediate to Advanced SQL knowledge is a must Python proficiency is preferred Proactive attitude and approach to work Ability to effectively prioritize deliverables with high quality and on-time delivery Excellent verbal and written communications skills, and problem solving, presentation abilities, and strong business acumen For positions in this location, we offer a base pay of $43.04/hr, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [email protected] for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today - ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500 . Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. + As ServiceNow continues its unprecedented growth on the path to becoming the Defining Enterprise Software Company of the 21st Century, we are further establishing our advanced data and analytics capabilities. ServiceNow is seeking a proactive, passionate, analytical team members to help deliver the most strategic insights to the company. Business Insights Analyst interns will join a team that proactively monitors the real-time health of the business to ensure the company leadership has the right insights and recommendations to grow and scale the company. This career path is a hybrid of traditional roles in strategy, analytics, research, and data visualization - requiring a mix of strategic thinking, data analysis, and business operations skills.The ideal candidate is relentlessly curious, has high analytical capability and is passionate about creating innovative analysis to understand trends and identify opportunities. This individual is energized by finding actionable insights and forming recommendations using massive quantities of data, and derives joy in finding signal among the noise. **What you get to do in this role** + Proactively uncover trends and anomalies, understand relationships, and develop actionable insights from analysis that will drive business decisions and actions, help us understand quarterly performance and improve our go-to-market motions. + Apply expertise in quantitative analysis and presentation/visualization of data to see beyond the numbers; transform raw data into actionable insights and communicate succinct, relevant recommendations to drive action from both technical and non-technical senior leaders. + Partner with team members to prepare analysis and recommendations for strategic and operational decision-making across a variety of GTM functions. + Create and apply standard frameworks to better understand and monitor key business priorities. Contribute solutions to improve monitoring and alert systems for Data and Analytics. + Develop quick utility dashboards and reports to help accelerate and scale insights delivery + Current enrollment in a **full-time bachelor's** program in Computer Science or a related discipline at an accredited university. + **Graduating December 2026, or later.** + Coursework in an analytical field (e.g., Mathematics, Computer Science, Statistics, Business or a related field). + Self-starter with a high degree of motivation to go above and beyond the task at hand. Demonstrated passion for connecting the dots, digging deeper to uncover stories and trends in data, with a keen eye for detail. + Exceptional verbal and written communication skills and ability to engage effectively at all levels of the organization, to both technical and non-technical audiences. + Demonstrated ability to work collaboratively + SQL skills with the ability to perform effective querying involving multiple tables and subqueries. + Experience with Tableau and/or Power BI (or similar analytical packages) required. + Advanced Excel and PowerPoint skills. + Experience with R, SAS, or Python a plus. For positions in this location, we offer a base pay of $40.87/hr, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. **Work Personas** We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here (************************************************************************************************************************************* . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. **Equal Opportunity Employer** ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. **Accommodations** We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact ***************************** for assistance. **Export Control Regulations** For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today - ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500 . Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. Job Description As ServiceNow continues its unprecedented growth on the path to becoming the Defining Enterprise Software Company of the 21st Century, we are further establishing our advanced data and analytics capabilities. ServiceNow is seeking a proactive, passionate, analytical team members to help deliver the most strategic insights to the company. Business Insights Analyst interns will join a team that proactively monitors the real-time health of the business to ensure the company leadership has the right insights and recommendations to grow and scale the company. This career path is a hybrid of traditional roles in strategy, analytics, research, and data visualization - requiring a mix of strategic thinking, data analysis, and business operations skills. The ideal candidate is relentlessly curious, has high analytical capability and is passionate about creating innovative analysis to understand trends and identify opportunities. This individual is energized by finding actionable insights and forming recommendations using massive quantities of data, and derives joy in finding signal among the noise. What you get to do in this role Proactively uncover trends and anomalies, understand relationships, and develop actionable insights from analysis that will drive business decisions and actions, help us understand quarterly performance and improve our go-to-market motions. Apply expertise in quantitative analysis and presentation/visualization of data to see beyond the numbers; transform raw data into actionable insights and communicate succinct, relevant recommendations to drive action from both technical and non-technical senior leaders. Partner with team members to prepare analysis and recommendations for strategic and operational decision-making across a variety of GTM functions. Create and apply standard frameworks to better understand and monitor key business priorities. Contribute solutions to improve monitoring and alert systems for Data and Analytics. Develop quick utility dashboards and reports to help accelerate and scale insights delivery Qualifications Current enrollment in a full-time bachelor's program in Computer Science or a related discipline at an accredited university. Graduating December 2026, or later. Coursework in an analytical field (e.g., Mathematics, Computer Science, Statistics, Business or a related field). Self-starter with a high degree of motivation to go above and beyond the task at hand. Demonstrated passion for connecting the dots, digging deeper to uncover stories and trends in data, with a keen eye for detail. Exceptional verbal and written communication skills and ability to engage effectively at all levels of the organization, to both technical and non-technical audiences. Demonstrated ability to work collaboratively SQL skills with the ability to perform effective querying involving multiple tables and subqueries. Experience with Tableau and/or Power BI (or similar analytical packages) required. Advanced Excel and PowerPoint skills. Experience with R, SAS, or Python a plus. For positions in this location, we offer a base pay of $40.87/hr, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [email protected] for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.

Education: Currently pursuing a bachelor's or master's degree in computer science, information security, or a related field, with at least 3 years of academic progression completed. Required Experience * 2 years of experience with scripting or programming languages such as Python, PowerShell, or Bash. * 2 years of experience demonstrating excellent analytical and problem-solving skills. * 2 years of experience demonstrating strong communication and interpersonal skills. * 2 years of experience working effectively both independently and as part of a team. * 2 years of experience following organizational standard operating procedures related to approvals and reviews. Preferred Experience: * 1 year of experience with or a strong interest in data security, incident response, and threat intelligence. * 1 year of familiarity with Crowdstrike or other cybersecurity tools. * 1 year of experience being self-motivated and eager to learn new technologies and methodologies. * 1 year of basic understanding of networking protocols, operating systems, and core security concepts. About Seneca Resources: Seneca Resources is a client driven provider of strategic Information Technology consulting services and Workforce Solutions to government and industry. Seneca Resources is a leading IT services provider with offices in Virginia, Alabama, Georgia, North Carolina and New York that service clients throughout the United States. We are an Equal Opportunity Employer and value the benefits of diversity in our workplace.