Data Science Internship

Pimlico Enterprises
Sheffield
2 weeks ago
Applications closed

Related Jobs

View all jobs

Spring Internships - Data Science Thesis Intern 2024

Data Analyst Intern

Junior Data Scientist (London Area)

Data Analyst Intern

Data Analyst Intern

Data Analyst Intern (United Kingdom)

Job Title: Data Science Internship

Location:London, United Kingdom (Remote)

Stipend:£1800 - £2500


Pimlico Enterprisesis dedicated to helping organizations unlock smarter, faster decisions through data-driven strategies. As we expand our impact, we’re looking for aData Science Internto join our innovative analytics team and support our digital consultancy and transformation initiatives.

This internship offers a valuable entry point for recent graduates or aspiring data professionals ready to launch their careers in data science. You'll gain chance to work with our senior AI and ML Engineers, assist in projects, and grow within a collaborative, forward-thinking environment that encourages learning and exploration.


Key Responsibilities


As aData Science Intern, you’ll collaborate with experienced team members on impactful projects, helping to support data-informed decisions across both internal operations and client engagements. Your role will involve:


  • Assisting in data gathering, research, and exploration activities
  • Supporting the creation and maintenance of data pipelines and ensuring data accuracy
  • Contributing to the development of reports and dashboards using tools like Power BI
  • Writing SQL queries to extract, clean, and analyze datasets
  • Communicating findings in a clear and compelling way to technical and non-technical audiences
  • Helping document data practices, workflows, and standards
  • Taking part in team meetings, ideation sessions, and collaborative problem-solving
  • Communicating with internal and external stakeholders


Candidate Profile

We’re seeking a curious and motivated graduate with a passion for working with data. You should bring:

  • A degree in a relevant field (e.g., Mathematics, Statistics, Computer Science, Business, Economics, or similar)
  • Proficiency in Microsoft Excel for data analysis and manipulation
  • Basic knowledge of SQL and an eagerness to improve
  • Exposure to Power BI (or similar tools) is a plus
  • Strong attention to detail and problem-solving mindset
  • Good communication skills and the ability to explain data concepts simply
  • A proactive attitude and willingness to learn new tools and technologies


What You’ll Gain

We’re dedicated to helping you launch a fulfilling career in data science. As aData Science Internat Pimlico Enterprises, you’ll benefit from:

  • Aminimum monthly stipend of £1,800
  • A structured internship with37.5 working hours per week
  • Remote-first work environment, with ahybrid option availablefor those based near London or willing to commute
  • Performance-based bonus schemes
  • Covered fees for relevant professional memberships
  • 28 days of annual leave, plus UK bank holidays
  • Enhanced pension contributions
  • Additionalpaid leave for Reservists
  • Access to a24/7 Employee Assistance Programme, including GP consultations, mental health support, and wellness services


Please note:All applicantsmust be eligible to work in the UK. Unfortunately,we are unable to sponsor visasfor this position.


Hiring Process

We aim to make the recruitment process transparent, engaging, and respectful of your time. Here’s what you can expect:


  • Telephone Interview– A brief introductory call to get to know you better and discuss your motivations for applying
  • HR Interview– A more in-depth conversation covering your background, interests, and alignment with our company values
  • Technical Interview– A practical discussion focused on your analytical thinking, problem-solving abilities, and understanding of data science concepts

We encourage all applicants to ask questions throughout the process, we’re here to support your journey.


Equality, Diversity & Inclusion (EDI)


AtPimlico Enterprises, we believe that diverse teams drive innovation and better outcomes. We are proud to be an equal opportunity employer and are committed to creating an inclusive, respectful, and supportive environment for everyone, regardless of age, gender identity, ethnicity, disability, sexual orientation, religion, or background.

We actively encourage applications from individuals of all backgrounds and strive to make our recruitment process and workplace accessible to everyone. If you require any reasonable adjustments during the hiring process or internship, please let us know, we're happy to help.


We’re also committed to:

  • Fostering a workplace culture of respect, openness, and collaboration
  • Supporting mental health and overall wellbeingthrough our 24/7 Employee Assistance Programme
  • Promoting equal development opportunitiesthrough fair access to training, mentorship, and progression


By joining us, you’ll be part of a values-driven team where your ideas are welcomed, your growth is supported, and your individuality is celebrated.

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Rural-Remote Machine Learning Jobs: Finding Balance Beyond the Big Cities

Over the past decade, machine learning (ML) has transformed from a niche research domain into a pervasive technology underpinning everything from recommendation systems and voice assistants to financial forecasting and autonomous vehicles. Historically, the UK’s major tech hubs—particularly London—have been magnets for top ML talent and corporate headquarters. However, remote work has become mainstream, and many ML professionals are realising they can excel in their field while living far beyond the city limits. At MachineLearningJobs.co.uk, we’ve observed a growing interest in positions that allow for a rural lifestyle or a coastal environment, often reflected in search terms like “ML remote countryside” or “tech jobs by the sea.” This surge is no coincidence. Flexible work policies, better rural broadband, and the nature of machine learning tasks—much of which can be done through cloud platforms—are bringing new opportunities to those who wish to swap urban hustle for fresh air and scenic views. Whether you’re a data scientist, ML engineer, researcher, or product manager, a rural or seaside move could reinvigorate your work-life balance. In this article, we’ll unpack why rural-remote ML jobs are on the rise, how you can navigate the challenges of leaving the city, and what you need to do to thrive in a machine learning career beyond the M25. If you’ve dreamt of looking up from your laptop to rolling fields or ocean waves, keep reading—your rural ML role might be closer than you think.

Quantum-Enhanced Machine Learning—Propelling AI into the Next Frontier

Machine learning (ML) has revolutionised how we interpret data, build predictive models, and create intelligent applications. From recommendation engines and self-driving cars to advanced genomics and natural language processing, ML solutions are integral to nearly every corner of modern life. However, as data complexity and model size continue to skyrocket, the computational demands placed on ML systems grow in tandem—often pushing even high-performance classical computers to their limits. In recent years, quantum computing has emerged as a tantalising solution to these challenges. Unlike traditional digital systems, quantum computers exploit quantum mechanics—superposition and entanglement—to process information in ways that defy conventional logic. As these machines mature, they promise exponential speed-ups for certain tasks, potentially reshaping how we approach AI and data-intensive challenges. What does this mean for machine learning? Enter quantum-enhanced ML, a new frontier where quantum processors and classical ML frameworks unite to accelerate model training, tackle high-dimensional data, and solve complex optimisation tasks more efficiently. In this article, we will: Unpack the current state of machine learning, highlighting key bottlenecks. Provide a concise overview of quantum computing—why it’s radical and how it differs from classical technology. Examine potential breakthroughs in quantum-enhanced ML, including real-world use cases and technical approaches. Explore the roles and skill sets that will define this quantum-AI era, with guidance on how to prepare. Discuss the roadblocks (like hardware maturity and ethical concerns) and how they might be addressed in the years to come. If you’re a machine learning engineer, data scientist, or simply an AI enthusiast fascinated by the next wave of computational innovation, read on—quantum computing could become an integral part of your future toolkit, opening up job opportunities and reimagining what ML can achieve.

Machine Learning Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Machine learning (ML) has become the beating heart of modern tech innovation, powering breakthroughs in healthcare, finance, cybersecurity, robotics, and more. Across the United Kingdom, this surge in ML-driven solutions is fueling the success of countless start-ups—and spurring demand for talented machine learning engineers, data scientists, and related professionals. If you’re eager to join a high-growth ML company or simply want to keep tabs on the latest trends, this Q3 2025 Investment Tracker will guide you through the newly funded UK start-ups pushing the boundaries of ML. In this article, we’ll highlight key developments from Q3 2025, delve into the most promising newly funded ventures, and shed light on the machine learning roles they’re urgently seeking to fill. Plus, we’ll show you how to connect with these employers via MachineLearningJobs.co.uk, a dedicated platform for ML job seekers. Let’s dive in!