Houlihan Lokey Data Science Internship in Gurugram: Overview
Houlihan Lokey’s Financial and Valuation Advisory team is offering multiple full-time Data Science Internships in Gurugram for up to one year. The internship is designed for candidates who will work with senior data scientists based in New York and London on products and processes used in investment banking and financial services. The role brings together financial data handling, analytical work, and data science tools in a professional environment. Applications close on 30 September 2026, and the stipend is not disclosed.
The opportunity is positioned for applicants who are ready for full-time work and who can contribute to data-focused tasks across collection, processing, analysis, transformation, and reporting. It also includes exposure to documentation and best practices, which suggests a structured internship experience rather than a narrow task-based assignment. For candidates interested in data science within financial services, this internship combines practical tools, collaboration with senior teams, and work connected to real products and processes.
Multiple full-time Data Science Internships are available in Gurugram for up to one year, with applications closing on 30 September 2026.
What the Internship Involves
The internship centers on supporting data science work for investment banking and financial services. Interns will collaborate with senior data scientists in New York and London, which means the role is connected to international teams and workflows. The work is described as being on products and processes, so the internship is not limited to one isolated task. Instead, it spans several stages of data work, from gathering information to building outputs that can be used for analysis and decision-making.
The internship also includes working with Snowflake data warehousing, which suggests exposure to structured data storage and retrieval in a warehouse environment. Another part of the role is building visualisations and dashboards in Power BI or Tableau. This means the internship covers not only data preparation but also presentation and reporting. Finally, interns are expected to document best practices, which adds a process and knowledge-sharing element to the work.
Core work areas mentioned in the role
- Collecting and processing financial data
- Advanced Excel analysis using PivotTables, VLOOKUP, and INDEX/MATCH
- Extracting and transforming data with Python and Dataiku
- Working with Snowflake data warehousing
- Building visualisations and dashboards in Power BI or Tableau
- Documenting best practices
These responsibilities show that the internship is broad in scope while still remaining focused on data science in a financial setting. Candidates who enjoy working across multiple tools and stages of the data workflow may find the structure especially relevant. The role also suggests that attention to detail matters, since financial data, transformations, dashboards, and documentation all require accuracy and consistency.
Skills and Academic Background Required
Applicants must be final-year students or recent graduates who are available full time. The educational requirement is a BE, BTech, or BSc in Mathematics, Statistics, or Data Science. This makes the internship suitable for candidates with a quantitative academic background and a strong interest in data-oriented work. The requirement for full-time availability also indicates that the internship is intended for candidates who can commit to the role without part-time constraints.
In addition to the degree requirement, applicants should have strong academics and quantitative skills. The role also asks for proficiency in Excel, basic SQL, and Python. These skills align closely with the responsibilities listed for the internship, especially data processing, analysis, and transformation. Clear English communication is also required, which is important for working with senior data scientists and documenting best practices.
Eligibility and skill profile
- Final-year students or recent graduates
- Available full time
- BE, BTech, or BSc in Mathematics, Statistics, or Data Science
- Strong academics and quantitative skills
- Excel, basic SQL, and Python
- Clear English communication
- Demonstrated interest in data science
- Previous data-analysis or data-science internship experience
The requirements reflect a balance between academic preparation and practical readiness. Candidates are expected to understand quantitative work, communicate clearly, and use the tools named in the job description. Because the internship includes both analysis and documentation, the ability to work carefully and explain findings clearly is likely to be important throughout the assignment.
Tools, Workflow, and Technical Exposure
The internship offers exposure to a range of tools that are commonly associated with data science and financial analysis. Excel is a key part of the role, especially through advanced functions and analysis methods such as PivotTables, VLOOKUP, and INDEX/MATCH. These tools are used for organizing, comparing, and analyzing data efficiently. Their inclusion in the role description shows that spreadsheet work remains an important part of the internship, even alongside more technical platforms.
Python and Dataiku are also part of the workflow, specifically for extracting and transforming data. This indicates that interns will work beyond manual spreadsheet tasks and into more automated or structured data handling. The mention of basic SQL in the requirements also suggests that interns may need to interact with data in database-related contexts. Together, these tools point to a workflow that includes data access, cleaning, transformation, and analysis.
Documenting best practices is the final part of the technical workflow described in the content. That responsibility matters because it supports consistency and knowledge sharing across the team. It also suggests that the internship values not just completing tasks, but doing so in a way that can be repeated and understood by others. For candidates, this means the role may involve careful process work as well as direct analysis.
Technical areas named in the internship
- Excel analysis with PivotTables, VLOOKUP, and INDEX/MATCH
- Python for extracting and transforming data
- Dataiku for data extraction and transformation
- Snowflake data warehousing
- Power BI or Tableau for visualisations and dashboards
- Documentation of best practices
The combination of these tools makes the internship relevant to candidates who want practical exposure across the data lifecycle. It includes preparation, transformation, analysis, and presentation, all within a financial services context. That breadth can be especially useful for applicants who want to understand how data science supports business processes and products.
Application Details, Duration, and Outcome
The internship is offered as a full-time opportunity in Gurugram and can last for up to one year. The content states that multiple internships are available, which means more than one candidate may be selected. The application deadline is 30 September 2026, so applicants need to plan their submission before that date. The stipend is not disclosed, so no compensation amount is provided in the available content.
Because the internship is tied to senior data scientists in New York and London, the experience may also be valuable for candidates who want to work in a team connected to international financial services operations. The role’s structure suggests a professional environment where data work is linked to real products and processes. For applicants, the key practical details are the full-time requirement, the one-year maximum duration, the deadline, and the fact that stipend information is unavailable in the provided content.
| Detail | Information Provided |
|---|---|
| Location | Gurugram |
| Team | Houlihan Lokey Financial and Valuation Advisory |
| Role Type | Multiple full-time Data Science Internships |
| Duration | Up to one year |
| Application Close Date | 30 September 2026 |
| Stipend | Not disclosed |
| Conversion | May be considered based on performance and hiring needs, but not guaranteed |
Why This Internship May Appeal to Data Science Candidates
This internship may appeal to candidates who want to apply data science skills in a financial services setting. The role combines financial data work, analytical tools, programming, warehousing, and dashboard creation. It also includes collaboration with senior data scientists in New York and London, which adds a cross-location professional dimension. For applicants who already have some internship experience in data analysis or data science, the position may feel like a natural next step.
The internship also stands out because it connects technical work with documentation and best practices. That means the role is not only about producing outputs, but also about supporting reliable and repeatable work. Candidates who are comfortable with Excel, Python, SQL, and visualisation tools may find the responsibilities aligned with their background. The requirement for strong academics and quantitative skills further suggests that the internship is intended for candidates who can handle a rigorous data environment.
Since conversion is only possible and not guaranteed, the main value of the internship lies in the experience itself. The combination of tools, financial context, and collaboration can help interns build practical exposure within a recognized advisory team. For searchers looking for a Data Science Internship in Gurugram, this role offers a clear set of responsibilities and eligibility criteria, along with a defined deadline and duration.
Frequently Asked Questions
What is the Houlihan Lokey Data Science Internship in Gurugram?
It is a full-time Data Science Internship offered by Houlihan Lokey’s Financial and Valuation Advisory team in Gurugram. The internship is available for up to one year and involves work with senior data scientists in New York and London on products and processes for investment banking and financial services.
What kind of work will interns do?
Interns will collect and process financial data, perform advanced Excel analysis using PivotTables, VLOOKUP, and INDEX/MATCH, extract and transform data with Python and Dataiku, work with Snowflake data warehousing, build visualisations and dashboards in Power BI or Tableau, and document best practices.
Who can apply for this internship?
Applicants must be final-year students or recent graduates who are available full time. The required educational background is a BE, BTech, or BSc in Mathematics, Statistics, or Data Science. The content also asks for strong academics, quantitative skills, Excel, basic SQL, Python, clear English communication, demonstrated interest in data science, and previous data-analysis or data-science internship experience.
Is conversion after the internship guaranteed?
No, conversion is not guaranteed. The content says conversion may be considered based on performance and hiring needs, but it is not assured. Applicants should treat the internship as a valuable experience in itself rather than as a confirmed path to a permanent role.
When does the application close?
Applications close on 30 September 2026. The content does not provide any other application timeline details, so this is the key deadline to note for the internship.
Is the stipend disclosed?
No, the stipend is not disclosed in the provided content. No compensation amount or stipend range is given, so applicants only have the information that it has not been shared.
Conclusion
Houlihan Lokey’s Data Science Internship in Gurugram brings together financial data work, technical tools, and collaboration with senior data scientists in New York and London. The role is full time, available for up to one year, and open to final-year students or recent graduates with the required quantitative background and skills. It includes responsibilities across data collection, processing, transformation, analysis, visualisation, and documentation. With applications closing on 30 September 2026 and stipend details undisclosed, interested candidates should focus on the stated eligibility and responsibilities. For those looking for a structured data science opportunity in financial services, this internship presents a clear and well-defined option.
