Data Science Internship

Pimlico Enterprises
Manchester
8 months ago
Applications closed

Related Jobs

View all jobs

AI Placement Analyst — Data Science Internship (Hybrid)

Sewerage Data Science Placement — 12‑Month Bath Internship

Data Scientist - Level 1

Data Scientist - Level 1

Data Scientist - Level 1

Data Scientist, Envelop UK

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.

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.

Jobs

How to Write a Machine Learning Job Ad That Attracts the Right People

Machine learning now sits at the heart of many UK organisations, powering everything from recommendation engines and fraud detection to forecasting, automation and decision support. As adoption grows, so does demand for skilled machine learning professionals. Yet many employers struggle to attract the right candidates. Machine learning job adverts often generate high volumes of applications, but few applicants have the blend of modelling skill, engineering awareness and real-world experience the role actually requires. Meanwhile, strong machine learning engineers and scientists quietly avoid adverts that feel vague, inflated or confused. In most cases, the issue is not the talent market — it is the job advert itself. Machine learning professionals are analytical, technically rigorous and highly selective. A poorly written job ad signals unclear expectations and low ML maturity. A well-written one signals credibility, focus and a serious approach to applied machine learning. This guide explains how to write a machine learning job ad that attracts the right people, improves applicant quality and strengthens your employer brand.

Education Jobs

Maths for Machine Learning Jobs: The Only Topics You Actually Need (& How to Learn Them)

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.

Jobs

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.