Data Analyst Intern

Pimlico Enterprises
Nottingham
7 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

SAP Master Data Analyst

Data Analyst

Data Analyst

Data Analyst (Salesforce & Excel)

Research Data Analyst

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 aData Analysis Internto become part of our vibrant analytics team.

Thispaidinternship 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.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.