Intern – Predictive Sales Prospecting

Key Responsibilities:

Predictive Sales Prospecting & Data Insights

• Analyze customer and market data to identify high‑value prospects and uncover sales opportunities.

• Leverage AI, machine learning, data analytics, and other automation tools to enhance prospecting strategies and improve targeting accuracy.

• Develop data-driven insights to support decision-making across sales and marketing teams.

AI Tools & Technology Evaluation

• Explore emerging AI and analytical tools and assess their potential applications within sales workflows.

• Support implementation of AI-driven solutions to improve efficiency and effectiveness of prospecting efforts.

Data Management & Analysis

• Identify and consolidate internal and external data sources to support prospecting and reporting initiatives.

• Build and maintain dashboards, reports, and queries to monitor key performance metrics.

• Apply statistical methods to analyze structured and unstructured datasets and identify patterns, trends, and anomalies.

Sales Enablement & Reporting

• Create reports and visualizations that communicate insights clearly to stakeholders.

• Partner with cross-functional teams to translate data findings into actionable sales strategies.

• Support forecasting efforts and contribute to strategic and tactical planning.

Technical Tools & Collaboration

• Utilize tools such as SQL, Python, R, and business intelligence platforms (e.g., Power BI, Power Apps, Power Automate, Tableau, Spotfire, QLIK, etc.) to develop analytics solutions.

• Provide support and guidance on data tools and methodologies to team members.

• Maintain data integrity and ensure compliance with relevant standards and best practices.

Who we’re looking for
 

You are currently in your sophomore or junior year at an accredited university, pursuing a degree in Data Science, Data Analytics, Business Analytics, Computer Science, Artificial Intelligence, or a related field, and are excited to apply advanced analytics to real-world business challenges.

What you bring

• Strong analytical and problem-solving skills with the ability to work with complex datasets.

• Foundational knowledge of programming languages and data analysis tools.

• Desire to learn business automation tools such as Power BI, Power Automate, Power Apps, etc.

• Strong skills and/or interest in AI, machine learning, and data-driven decision-making in a business context.

• Proficiency with Microsoft Office tools (Excel, PowerPoint, Word, Outlook).

• Clear and confident communication skills, both written and verbal.

• A collaborative mindset and ability to thrive in a fast-paced, team-oriented environment.

Work Conditions & Schedule

• Duration: At least 12 months, with a preference for candidates entering their junior year who may be available for up to two years, with the potential to convert to a full-time hire.

• Start Date: Targeted for June 2026.

• Schedule: Full-time during summer (40 hours per week); part-time during the school year (10-20 hours per week).

• Work Model: Onsite — Wilmington, DE

• Agilent provides a laptop and necessary equipment for the internship term.

Compensation & Benefits

• Hourly Pay: $30.00–$32.00 (Our pay ranges are determined by role, level, and location.)

• Paid holidays and medical benefits eligibility.

• Professional development sessions, workshops, and mentorship.

• Exposure to sales, marketing, manufacturing, product development, and technical support functions.

• Access to Agilent Employee Networks (Women@Agilent, Council of Black Employees, Rainbow Spark, La Chispa, Veterans, Asian Pacific Islanders, and more).

This position is part-ti