Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Analytics Intern

Hirist
Liverpool
4 months ago
Applications closed

Related Jobs

View all jobs

Lead Data Analyst

Audit Data Analytics Manager

Audit Data Analytics Manager

Director - Data Analytics

Director, Data Analytics

Audit Data Analytics Manager

Data Analytics Intern (Remote – 3 Month Internship)


Company:


HIRIST – IT Recruitment Partner (Hiring for a Technology Client)


Location:

Remote | United Kingdom


Job Type:

Internship


About the Role:

HIRIST is hiringData Analytics Internson behalf of a reputed IT client. This is a part-time, remote internship opportunity designed for individuals looking to apply data analytics skills in a business setting. Interns will work with the analytics team to support ongoing data projects that drive decision-making.


Key Responsibilities:

  • Clean and organize datasets for analysis.
  • Assist in generating dashboards and reports.
  • Perform basic data exploration to support business insights.
  • Use tools like Excel, SQL, and analytics platforms.
  • Contribute to ad-hoc reporting tasks as assigned.


Required Qualifications:

  • Familiarity with Excel or Google Sheets.
  • Basic knowledge of SQL.
  • Attention to detail and strong analytical thinking.
  • Ability to work independently in a remote setup.


Preferred Qualifications:

  • Exposure to visualization tools like Power BI, Tableau, or Looker.
  • Experience with Python for data analysis (e.g., Pandas, Matplotlib).
  • Previous academic or personal projects involving data interpretation.


Internship Details:

  • Duration: 3 months
  • Hours: 15–20 hours/week
  • This is a paid internship. A stipend will be provided.
  • Certificate of completion provided upon successful completion.


Hiring Process:

  1. Resume Review
  2. Basic Data Task
  3. Virtual Interview with Project Team
  4. Onboarding via HIRIST


Additional Information:

  • Remote position — stable internet connection required.
  • HIRIST is a recruitment partner facilitating hiring for its verified IT client.
  • The client organization’s name will be shared with shortlisted candidates during the interview process.
  • There areno feesor charges involved at any point in the selection process.


Equal Opportunity Statement:

HIRIST is an equal opportunity recruitment partner. We welcome applications from candidates of all backgrounds, without regard to race, gender, disability, or other protected characteristics.

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.

Neurodiversity in Data Science Careers: Turning Different Thinking into a Superpower

Data science is all about turning messy, real-world information into decisions, products & insights. It sits at the crossroads of maths, coding, business & communication – which means it needs people who see patterns, ask unusual questions & challenge assumptions. That makes data science a natural fit for many neurodivergent people, including those with ADHD, autism & dyslexia. If you’re neurodivergent & thinking about a data science career, you might have heard comments like “you’re too distracted for complex analysis”, “too literal for stakeholder work” or “too disorganised for large projects”. In reality, the same traits that can make traditional environments difficult often line up beautifully with data science work. This guide is written for data science job seekers in the UK. We’ll explore: What neurodiversity means in a data science context How ADHD, autism & dyslexia strengths map to common data science roles Practical workplace adjustments you can request under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in data science – & how to turn “different thinking” into a real career advantage.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.