Data Scientist Internship
About The Position
At AlixPartners, we solve the most complex and critical challenges by moving quickly from analysis to action when it really matters; creating value that has a lasting impact on companies, their people, and the communities they serve. By understanding, respecting, and honoring the needs of our employees, clients, and communities, AlixPartners actively promotes an inclusive environment. We strongly believe in the value that diversity brings to our experiences and are committed to the perpetual enhancements of initiatives, policies, and practices. We hold ourselves accountable by providing the space for authenticity, growth, and equity for everyone. AlixPartners has embraced a hybrid work model to provide flexibility and support our employees’ work-life integration. Our hybrid model combines a mix of in-person (at client site or AlixPartners office) and remote working. Travel is part of this position, but the frequency may vary based on client, team, and individual circumstances. AlixPartners, a leading global consulting firm, is seeking Summer Analysts to support our Risk Analytics team, part of our Risk Advisory service line. Our Risk Advisory interns apply accounting, finance, and data analytics skills to help clients address critical business issues. You will work closely with AlixPartners’ experts to support complex matters including commercial litigation, business valuations, and investigations. You’ll turn messy, high-volume data into clear, defensible insights that stand up to scrutiny and inform high-stakes decisions. Examples of work within our Risk Analytics service line include: Apply finance, accounting, and operational concepts to frame analyses and test hypotheses in high-stakes client matters Extract, reconcile, validate, and analyze data from complex enterprise systems to build a clear, audit-ready data story Build and manage large, complex datasets—transforming raw inputs into structured, analysis-ready tables and repeatable workflows Develop structured client-ready materials that translate analyses into actionable insights using visualization and statistical modeling Use industry-leading analytics tools to deliver fast, meaningful insights through innovative, interactive visualizations across high-volume data This description is not designed to encompass a comprehensive listing of required activities, duties or responsibilities. This role is based in the New York office, with a hybrid work model. Paid relocation is not available.
Requirements
- Currently pursuing a master’s degree with an expected graduation date between December 2027 and August 2028, with ability to participate in our internship program from June 2027 to August 2027
- Must be enrolled in a master’s degree program in Business Analytics, Computer Science, Engineering, Mathematics or a related field with a basic knowledge of accounting, statistics, financial and econometric modeling
- Proficiency using SQL to query, join, and manipulate data from relational databases, demonstrated through prior work experience, internships, research, or academic projects
- Proficiency in Microsoft Excel and PowerPoint (e.g., ability to use formulas, data analysis tools, and create structured presentations)
- Professional proficiency in English in written and verbal formats required to support client communications and deliverables
- Demonstrated experience performing analytical or quantitative work (e.g., coursework, internships, research or projects)
- Ability to travel up to 100% Monday through Friday as required
- Must be able to work a hybrid schedule with regular in-person presence in our New York office and be able to commute to the office as required
- Willingness to work outside of normal U.S. business hours as unique projects/needs arise
- Ability to work full time in an office and remote environment; physically able to sit/stand at a computer and work in front of a computer screen for significant portions of the workday
- Must become familiar with, and promote and abide by, our Core Values as defined by the AlixPartners’ Code of Conduct and foster an inclusive environment with people at all levels of an organization.
- Candidates must be authorized to work in the United States without employer sponsorship now and in the future.
- This includes candidates who are currently authorized to work on a temporary basis (e.g., H-1B visa, STEM OPT, CPT, TN, F-1, J-1, etc.) but will require sponsorship at a later date. Candidates who will require employer sponsorship at any point during their employment are not eligible for this role.
Nice To Haves
- Strong academic performance (e.g., cumulative GPA of 3.7 or higher preferred)
- Experience using AI‑enabled tools to enhance analysis, insight generation, and execution, with an understanding of when human judgment, validation, and discretion are essential
- Advanced proficiency in Microsoft Excel (e.g., pivot tables, formulas, financial modeling, and data analysis)
- Knowledge of finance, accounting, and/or economics concepts relevant to data-driven risk analysis
- Ability to query and work with relational databases using SQL (e.g., Microsoft SQL Server, Oracle, MySQL, or equivalent)
- Working proficiency in one or more programming languages (e.g., Python, R, VB.NET)
- Experience using analytics, data transformation, and data visualization tools (e.g., SSIS, Alteryx, Tableau, Power BI)
- Knowledge of applied AI/ML concepts relevant to analytics (e.g., supervised/unsupervised learning, NLP, clustering, RPA)
- Strong written and verbal communication skills, including the ability to explain technical concepts to non-technical audiences
- Prior internship, research, or project experience in data analytics or a related field
- Demonstrated sustained commitment and accountability in team settings (e.g., leadership roles, employment during school, athletics, research, or community commitments), indicating reliability, teamwork, and deadline management.
- Experience working in team-based, collaborative or client-facing environments
- Demonstrated ability to interact professionally with clients and senior stakeholders
- Demonstrated ability to manage tasks and meet deadlines in academic or professional settings
- Demonstrated experience applying analytical problem solving to complex or ambiguous problems (e.g., analyzing data, developing models, and synthesizing findings to support recommendations)
Responsibilities
- Apply finance, accounting, and operational concepts to frame analyses and test hypotheses in high-stakes client matters
- Extract, reconcile, validate, and analyze data from complex enterprise systems to build a clear, audit-ready data story
- Build and manage large, complex datasets—transforming raw inputs into structured, analysis-ready tables and repeatable workflows
- Develop structured client-ready materials that translate analyses into actionable insights using visualization and statistical modeling
- Use industry-leading analytics tools to deliver fast, meaningful insights through innovative, interactive visualizations across high-volume data
Benefits
- Paid relocation is not available.
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What This Job Offers
Job Type
Full-time
Career Level
Intern
