Research & Technology Intern (Start ASAP)

GOTAFE; Greater London; Hybrid; GBP 15,000 - 19,000; Part time

Job summary

GOTAFE is seeking a technical intern in London to help build data pipelines and internal tools that support investment decisions. The role combines data engineering, analytics and AI-driven processes within our private equity real estate focus.

The 6-month internship operates in our London office, with a hands-on, learning-by-doing approach and collaboration across investment, asset management and finance teams.

Qualifications

• Completed bachelor’s degree in a quantitative field such as mathematics, engineering, CS, physics or economics.
• Hands-on experience with Python or SQL through study, projects or work.
• Able to explain technical work clearly to non-technical colleagues.
• Demonstrated ownership, high standards and willingness to go the extra mile.
• Proven ability to learn new tools or subjects quickly through projects or study.
• Interest in applying AI and technology to real business problems.

Responsibilities

• Build and maintain data pipelines into our data warehouse.
• Standardise and reconcile data from multiple sources.
• Turn unstructured information into structured data.
• Develop and maintain internal tools and dashboards for business requests.
• Monitor pipelines and dashboards; fix issues as they arise.
• Document processes and decisions for ease of use.
• Support investment and investor materials with data.
• Apply AI and automated workflows to tasks.
• Develop ML models to classify real estate assets.
• Create historical datasets via automated collection.
• Integrate CRM and data platforms; build AI tools on top.
• Define standard metrics and calculations across the firm.
• Create new internal tools for instant data access.

Skills

Python

SQL

Explain to non-tech

Learn quickly

AI enthusiasm

Structured thinking

Attention to detail

Self-starter

Education

Bachelor's degree (math/engineering/CS/physics/economics)

Tools

Cloud platforms

Data warehouses

ETL tools

LLM APIs

Git/GitHub

BI tools (Tableau)

Job description

The Role

Our Technology & Research team works closely within our firm, operating as an extension of the deal teams to craft investment theses, uncover trends and themes, and evaluate investment opportunities across Europe. We are a private equity real estate firm focused on industrial and last-mile logistics.

We are looking for a technical intern to help build and run the data, tools and technology behind our investment decisions. The role is varied and hands-on, working with investment, asset management and finance colleagues. This is an initial 6-month internship position, based in our London office 5 days per week.

Prior experience is not essential. We want someone who is keen, ready to give their all, and can show they pick things up quickly.

Key Responsibilities

• Building and maintaining data pipelines that bring internal and external data into our data warehouse
• Keeping data accurate and consistent: mapping, reconciling and standardising data from different sources
• Turning unstructured information (documents, PDFs, news) into structured, usable data
• Developing and maintaining internal web tools and dashboards, with quick turnaround on business requests
• Monitoring existing pipelines, tools and dashboards, and fixing issues when they arise
• Documenting processes and decisions so our tools are easy to use and maintain
• Supporting the team with data and materials for investment and investor work
• Applying AI and LLMs to automate manual workflows
• Machine learning models to classify and evaluate real estate assets
• Building up historical market datasets through automated data collection
• Integrating our CRM and data platforms, and building AI tools on top of them
• Defining standard metrics and calculations across the firm
• New internal tools that give the business instant access to data and analysis

Qualifications and Skills

Essential

• A completed bachelor’s degree (or higher) in mathematics, engineering, computer science, physics, economics or another quantitative subject
• Hands-on experience with Python or SQL, whether through study, personal projects or work
• Able to explain technical work clearly to non-technical colleagues
• Genuine enthusiasm and drive: you take ownership, set yourself high standards and are willing to go the extra mile
• Proven ability to learn and adapt quickly, e.g. teaching yourself a new tool, language or subject through projects, study or work
• Interest in applying AI and technology to real business problems
• Structured, critical thinking: able to break down complex problems and solve them in creative ways
• Impeccable attention to detail
• Self-starter, able to multi-task, switch context and manage your own workload

Desirable

• Experience with cloud platforms, data warehouses, ETL tools
• Experience with LLM APIs or machine learning
• Web development experience
• Familiarity with Git/GitHub or BI tools like Tableau
• Interest in private equity, real estate or finance

To Apply

Please note that due to the high volume of applications we receive, we may not be able to respond to all applicants. We value diversity and aim for our workforce to be representative of all sections of society. Our recruitment process is competency based and no applicant will be discriminated against regardless of their age, colour, disability, ethnicity, gender or gender identity, race, religion or belief and/or sexual orientation.