Houlihan Lokey Internship 2026 | Data Science Intern | Mumbai – Apply Now

Houlihan Lokey Data Science Internship 2026 is now open! Houlihan Lokey, one of the world’s premier investment banks, is actively hiring a Data Science Intern for their Mumbai office. This is a remarkable opportunity for final-year students and recent graduates with a background in engineering, mathematics, or statistics to gain real-world exposure to financial data science within a globally respected firm. Selected interns will work on live data pipelines, financial modelling, and analytics tools that directly support Houlihan Lokey’s advisory and research functions.

Houlihan Lokey Data Science Internship 2026 – Full Job Details

About Houlihan Lokey

Houlihan Lokey (NYSE: HLI) is a global investment bank with expertise in mergers and acquisitions, capital markets, financial restructuring, and valuation advisory services. Founded in 1972 and headquartered in Los Angeles, the firm employs over 2,500 professionals across 30+ offices worldwide, including a growing technology and analytics hub in Mumbai. Houlihan Lokey has consistently been ranked as one of the top M&A advisory firms globally, having advised on thousands of transactions worth trillions of dollars. In India, their Mumbai office drives data science, financial analytics, and research capabilities that support their global advisory teams – making this internship an exceptional entry point into the world of finance and data science.

Role Overview – Data Science Intern

As a Data Science Intern at Houlihan Lokey’s Mumbai office, you will work directly with financial analysts and data engineers on real datasets that inform high-stakes advisory decisions. Over 6 months, you will develop and maintain data pipelines, build financial models, create dashboards using Power BI or Tableau, and leverage cloud platforms like Snowflake and Dataiku. This is a rare chance for a fresher to gain finance-industry data science experience at one of the most respected investment banks in the world.

Key Responsibilities

• Data Pipeline Development: Build, maintain, and optimize data pipelines that process financial datasets from multiple sources. Work with structured and unstructured data to ensure accuracy, reliability, and timeliness for downstream analytics and reporting.
• Financial Modelling & Analysis: Support the financial analytics team in developing data-driven models for valuation, market analysis, and deal advisory. Apply statistical techniques to identify trends and derive actionable insights from large financial datasets.
• Dashboarding & Visualisation: Design and maintain interactive dashboards using Power BI or Tableau that help investment bankers visualise portfolio performance, market trends, and deal metrics in real time.
• SQL & Database Management: Write complex SQL queries to extract, transform, and load data from relational databases. Collaborate with data engineers to maintain data warehouse structures on platforms like Snowflake.
• Python-Based Analytics: Use Python and its data science libraries (Pandas, NumPy, Scikit-learn) to develop machine learning models, automate repetitive analytical workflows, and enhance existing analytical solutions.
• Cloud Platform & Dataiku: Work on Snowflake and Dataiku environments to manage data workflows, build machine learning pipelines, and collaborate on shared data projects with team members across geographies.
• Research & Documentation: Contribute to research projects, prepare technical documentation, and present findings to senior team members – building strong data storytelling and presentation skills essential for a career in finance.

Eligibility Criteria

• Educational Qualification: BE / B.Tech / BSc in Mathematics, Statistics, Data Science, Computer Science, or a related quantitative discipline.
• Batch Year: Final-year students (2026 batch) or recent graduates (2025 batch) are eligible to apply.
• Technical Skills: Proficiency in Python (Pandas, NumPy, Scikit-learn), SQL, and Excel. Hands-on experience or academic knowledge of Power BI / Tableau, Snowflake, and Dataiku is highly preferred.
• Analytical Ability: Strong foundation in statistics, probability, and data modelling. Ability to draw meaningful conclusions from complex datasets and present them clearly.
• Communication Skills: Excellent written and verbal communication skills to collaborate with global teams and present analytical findings to non-technical stakeholders.

Selection Process

The Houlihan Lokey Data Science Internship 2026 follows a structured selection process:

• Round 1 – Resume Screening: Applications are evaluated based on academic background in quantitative fields, Python and SQL skills, and any prior data science project experience. A strong academic record is important.
• Round 2 – Technical Assessment: A hands-on test covering Python programming, SQL queries, statistical analysis, and data interpretation. Candidates may be asked to solve a small data science case study.
• Round 3 – Technical & HR Interview: An in-depth discussion of your data science projects, technical skills, and interest in financial analytics. The HR round assesses cultural fit and commitment for the 6-month internship duration.

Salary & Benefits

Houlihan Lokey offers a competitive stipend for this 6-month internship role in Mumbai, commensurate with top-tier investment banking internship standards. Beyond the financial compensation, interns benefit from direct mentorship by senior financial analysts and data scientists, exposure to live financial transactions and market data, a globally recognized brand name on their resume, and potential for pre-placement offers (PPO) upon successful completion.

How to Apply for Houlihan Lokey Data Science Internship 2026

1. Click the “Apply Now” button below.
2. You will be redirected to the official Houlihan Lokey careers portal (Workday).
3. Create a Workday account or sign in if you have an existing account.
4. Fill in the application form with your academic background and skill details.
5. Upload your updated resume in PDF format.
6. Submit the application and note your application reference number.

Note: freshershunt.in is a job information platform. We are not the recruiter. Always verify details on the official company careers page before applying.

Frequently Asked Questions – Houlihan Lokey Data Science Internship 2026

Q1. Who is eligible to apply for Houlihan Lokey Data Science Internship 2026?

Final-year students (2026 batch) and recent graduates (2025 batch) with a BE, B.Tech, or BSc in Mathematics, Statistics, Data Science, Computer Science, or related quantitative fields are eligible. Strong Python, SQL, and data analytics skills are required. Knowledge of Power BI, Tableau, Snowflake, or Dataiku is an added advantage.

Q2. What is the salary offered in Houlihan Lokey Data Science Internship 2026?

Houlihan Lokey has not disclosed the exact stipend for this internship. However, as one of the world’s top investment banks, the compensation is expected to be competitive and in line with premium finance-sector internship standards in Mumbai.

Q3. What is the job location for the Houlihan Lokey Data Science Intern role?

The internship is based in Mumbai, India. This is an on-site role at Houlihan Lokey’s Mumbai office, which serves as a key hub for their data science and financial analytics teams supporting global operations.

Q4. What is the selection process for Houlihan Lokey Data Science Internship 2026?

The selection process includes resume screening for quantitative background and data skills, a technical assessment covering Python, SQL, and data interpretation, followed by a technical and HR interview. Candidates with strong academic credentials and data science project experience will have an edge in the process.

Q5. What is the last date to apply for Houlihan Lokey Data Science Internship 2026?

The exact last date has not been announced. We recommend applying as soon as possible since internship positions at top investment banks fill up very quickly. Click the Apply Now button above to check the current status on the official Houlihan Lokey careers page.

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