Job Title: Data Analysis Internship
Location: London, United Kingdom (Remote)
Stipend: £1800 - £2500
At Pimlico Enterprises, we help businesses make quicker, smarter decisions by harnessing the power of data. As we continue to grow, we\'re excited to offer a valuable opportunity for a Data Analysis Intern to become part of our vibrant analytics team.
This paid internship is ideal for recent graduates or aspiring data professionals looking to kick-start their careers in data analysis. You’ll collaborate with experienced data analysts and consultants on real projects, making meaningful contributions to client success while enhancing your technical and analytical capabilities.
Key Responsibilities
As a Data Analysis Intern, you’ll work with experienced team members on projects that help shape data-informed decisions for both internal operations and client engagements. Your role will involve:
- Assisting in data collection, cleaning, and validation processes
- Supporting data reporting and dashboard development using tools like Power BI or Excel
- Writing basic SQL queries to extract and analyze data
- Conducting exploratory data analysis (EDA) to uncover patterns and insights
- Preparing summary reports and presenting findings in a clear, concise manner
- Documenting analytical processes, data sources, and key learnings
- Participating in team discussions, stakeholder meetings, and problem-solving sessions
Candidate Profile
We’re looking for a curious and driven individual who enjoys working with data to uncover trends and inform decisions. The ideal candidate will bring:
- A background in a relevant area such as Statistics, Economics, Computer Science, Mathematics, Business, or any related discipline
- Comfortable using Microsoft Excel for organizing and analyzing data
- Some familiarity with SQL or a strong interest in learning it
- Exposure to tools like Power BI, Tableau, or other data visualization platforms is a bonus, but not essential
- An eye for detail and a problem-solving mindset
- Clear communication skills and the ability to share insights with both technical and non-technical audiences
- A motivated and open-minded attitude with a willingness to learn and grow professionally
What You’ll Gain
We’re dedicated to supporting your development and helping you build a strong foundation in data analytics. Benefits include:
- A monthly stipend starting at £1,800
- A structured internship with a 37.5-hour work week
- Fully remote work, with a hybrid option for those near London
- Performance-based bonus schemes
- Coverage of professional membership fees
- 28 days of annual leave plus UK bank holidays
- Enhanced pension contributions
- Paid leave for UK Armed Forces Reservists
- Access to a 24/7 Employee Assistance Programme offering GP consultations, mental health support, and wellness services
Please Note:
All applicants must be eligible to work in the UK. Unfortunately, we are unable to sponsor visas for this position.
Hiring Process
We’ve designed our hiring journey to be transparent and engaging:
- Initial Chat – A short conversation to get to know you and understand your interest in the internship
- HR Interview – A deeper dive into your background, goals, and how well you align with our team culture
- Technical Round – A hands-on assessment to evaluate your analytical skills and grasp of data-related concepts
We encourage you to ask questions throughout the process — we\'re here to support you every step of the way.
Equality, Diversity & Inclusion
At Pimlico Enterprises, we’re committed to building a diverse and inclusive team where everyone feels supported and valued. We actively encourage applications from all backgrounds and are happy to provide accommodations throughout the hiring process.
We also pledge to:
- Foster a culture of openness, collaboration, and mutual respect
- Promote mental health and wellbeing
- Provide fair access to growth and development opportunities
By joining us, you’ll become part of a team where your growth is supported, your voice is heard, and your individuality is celebrated.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst Intern in Guildford
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Pimlico Enterprises!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Analyst Intern at Pimlico Enterprises.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Pimlico Enterprises.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst Intern at Pimlico Enterprises, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Pimlico Enterprises, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Pimlico Enterprises. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Pimlico Enterprises
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Pimlico Enterprises!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
