EnerSys is a global leader in stored energy solutions for industrial applications. We have over thirty manufacturing and assembly plants worldwide servicing over 10,000 customers in more than 100 countries. Worldwide headquarters are located in Reading, PA, USA with regional headquarters in Europe and Asia. We complement our extensive line of Motive Power and Energy Systems with a full range of integrated services and systems. With sales and service locations throughout the world, and over 100 years of battery experience, EnerSys is the power/full solution for stored DC power products.
Job Purpose
The AI Forecasting Intern will support the Finance & Strategic Planning team by embedding AI-enabled tools and analytical techniques into the Company’s financial forecasting and long-range planning processes. Reporting to the Vice President, Finance & Strategic Planning, this role will focus on enhancing forecast accuracy, scenario modeling, and planning efficiency through advanced analytics, automation, and intelligent modeling approaches. This position is designed for a current or recently graduating student with a background in Finance, Information Technology, Data Analytics, or a related field, and with hands-on experience in forecasting or financial modeling.
Essential Duties and Responsibilities
Essential Job Functions
- Support the development and enhancement of financial forecasting and long-range planning models using AI-enabled tools and advanced analytics techniques.
- Analyze historical financial and operational data to identify patterns, forecast drivers, and opportunities for model automation or improvement.
- Partner with Finance and IT stakeholders to pilot and integrate AI tools into budgeting, forecasting, and scenario planning workflows.
- Assist in building scenario, sensitivity, and predictive models to support strategic planning and capital allocation decisions.
- Evaluate forecast accuracy and model performance; document assumptions, methodologies, and improvement opportunities.
- Support data preparation, cleansing, and validation activities to ensure model integrity and reliability.
- Develop documentation, templates, and user guidance for AI-enabled forecasting tools and models.
Knowledge, Skills, and Abilities
- Strong analytical mindset with interest in financial forecasting, modeling, and strategic planning.
- Foundational experience with financial models (e.g., forecasts, budgets, long-range plans, scenario analysis).
- Exposure to data analytics, automation, or AI tools (e.g., Python, SQL, Power BI, Excel advanced functions, forecasting packages, or similar technologies).
- Ability to translate technical outputs into clear financial and business insights.
- Strong attention to detail, data integrity, and documentation.
- Effective written and verbal communication skills and ability to work collaboratively across functions.
Qualifications
- Pursuing or recently completed a Bachelor’s degree in Finance, Accounting, Information Systems, Data Science, Computer Science, or a related field.
- Prior academic or internship experience with financial forecasting, modeling, or analytical projects preferred.
- Experience working with large data sets or advanced modeling tools is a plus.
- Interest in applying AI and advanced analytics to real-world financial planning and decision-making.
General Job Requirements
- This position will work in an office setting, expect minimal physical demands.
EnerSys provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Know Your Rights
Know Your Rights (Spanish)
We use artificial intelligence to screen, assess and select applicants for open positions, including for the purposes of reviewing and ranking application materials and scoring answers to application questions. Accordingly, decisions about your application and eligibility for employment with EnerSys may be made based exclusively on the automated processing of the personal information that you submit in your application materials.
