Intern - Data Scientist Finance

JOB TITLE: Data Scientist Intern – Finance (Remote) DEPARTMENT: Finance REPORTS TO: Chief Executive Officer POSITION OVERVIEW: We are seeking a highly motivated Data Scientist Intern - Finance - to join our Finance team in a remote capacity. This internship is ideal for a student who has completed at least two years of undergraduate studies and possesses a strong foundation in data analytics, statistics, and finance. The successful candidate will partner with finance and operational leaders to develop predictive models, automate financial analyses, and generate insights that support decision-making within a manufacturing environment. This role offers a unique opportunity to apply advanced data science techniques to real-world financial challenges, including forecasting, cost analysis, profitability modeling, working capital optimization, and operational performance measurement. DUTIES AND RESPONSIBILITIES: Develop, validate, and maintain data science and machine learning models supporting finance and manufacturing operations. Build predictive models for: Revenue forecasting Demand planning Cost and margin analysis Working capital management Cash flow forecasting Inventory optimization Analyze large datasets from ERP, financial, operational, and manufacturing systems. Create dashboards, visualizations, and reports that communicate complex analyses to finance and business stakeholders. Assist in identifying key business drivers and recommend opportunities to improve financial and operational performance. Automate recurring financial reporting and analytical processes. Collaborate with Finance, Supply Chain, Operations, and IT teams to gather requirements and deliver impactful analytical solutions. Conduct statistical analyses and data quality assessments to ensure data integrity and model accuracy. Present findings and recommendations to executive leadership and cross-functional teams. EDUCATION & EXPERIENCE: Required: Currently enrolled in a Bachelor's degree program in: Data Science Statistics Mathematics Computer Science Finance Related quantitative field Completion of at least two (2) years of undergraduate coursework. Minimum cumulative GPA of 3.0 preferred. Strong understanding of financial concepts, including: Income statements Balance sheets Cash flow statements Budgeting and forecasting Financial performance metrics Proficiency with Python and data analysis libraries (Pandas, NumPy, Scikit-learn). Experience with SQL and data extraction techniques. Knowledge of statistical modeling, predictive analytics, and machine learning concepts. Strong analytical, problem-solving, and critical thinking skills. Excellent written and verbal communication skills. Ability to work independently in a remote environment while managing multiple priorities. Preferred: Coursework or internship experience in corporate finance, financial analysis, or manufacturing analytics. Experience with business intelligence tools such as Power BI, Tableau, or similar platforms. Familiarity with ERP systems (SAP, Oracle, Microsoft Dynamics, or similar). Knowledge of forecasting techniques, time-series modeling, and optimization methods. Exposure to cloud-based analytics platforms (Azure, AWS, or Google Cloud). Understanding of manufacturing KPIs and cost accounting principles. Learning Opportunities: During this internship, the candidate will gain hands-on experience in: Financial forecasting and strategic planning Manufacturing finance and cost analysis Advanced data science and machine learning applications Financial modeling and business analytics Executive-level reporting and decision support Cross-functional collaboration within a manufacturing organization Competencies: Financial Acumen Data-Driven Decision Making Business Partnership Attention to Detail Analytical Thinking Intellectual Curiosity Adaptability Collaboration Results Orientation