National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

HR Data Science Intern

SLB
City of London
1 month ago
Applications closed

Related Jobs

View all jobs

Data Scientist

PhD Student Placement (Administrative Data Research Wales social care programme)

Data Scientist

Director of Operations

Insight Analyst

SAP Data Architect

Job Title:

HR Data Science Intern


About Us:

We are a global technology company, driving energy innovation for a balanced planet. At SLB we create amazing technology that unlocks access to energy for the benefit of all. We are facing the world’s greatest balancing act- how to simultaneously reduce emissions and meet the world’s growing energy demands. Our collective future depends on decarbonizing the fossil fuel industry, while innovating a new energy landscape. It’s what drives us. Ensuring progress for people and the planet, on the journey to net zero and beyond.

More than 98,000 employees over 120 countries already started their SLB journeys. Start yours now!

If you would like to know more, please visit our website athttps://www.slb.com/



Location:

Victoria, London, UK


Job Summary:

SLB HR Learning & Competency is seeking a motivated and talented Data Science Intern to join our dynamic team. As an intern, you will have the opportunity to work alongside experienced HR professionals and understand HR data and workflows. You will leverage this understanding to analyze data, automate workflows, embed AI, and enable data-driven decision-making, contributing to the development of cutting-edge solutions in the HR domain.


The role sits within the HQ HR team and reports to the Division Learning & Competency Manager. It offers the successful candidate an opportunity to contribute to the strategic learning initiatives of our organization while in parallel developing HR and data-centric skills based on daily activities and interactions with the broader leadership and global teams.


HR Learning & Competency Internship lasts for 1 year duration starting from Summer 2025 and will be based in our London HQ office.


Responsibilities and Duties:


  • Collaborate with cross-functional teams to understand business challenges and develop data-driven solutions.
  • Assist in collecting, processing, and analysing large datasets to extract actionable insights.
  • Develop and implement machine learning models and algorithms to optimize HR operational processes.
  • Conduct exploratory data analysis and visualize results using advanced tools and techniques.
  • Support the deployment and maintenance of data science solutions in real-world HR scenarios.
  • Participate in regular team meetings and present findings and recommendations to stakeholders.
  • Stay updated with the latest trends and advancements in data science and machine learning.


Essential Requirements:


  • Currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
  • Strong understanding of data analysis, statistics, and machine learning concepts.
  • Proficiency in programming languages such as Python.
  • Experience with data visualization tools like Power BI.
  • Familiarity with data manipulation libraries such as Pandas and NumPy.
  • Knowledge of machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
  • Excellent problem-solving skills and attention to detail.
  • Ability to work effectively both independently and as part of a team.
  • Strong communication skills, both written and verbal.
  • A valid right to work status in the UK for the whole duration of the internship.


Preferred Skills:

  • Data Science & AI
  • Communication
  • Managing by Influence
  • Stakeholder Management
  • Change Management
  • HR & Learning Process

If this role is of interest to you and you are eager to learn more then we strongly encourage you to apply. We can then discuss how you will help shape and grow SLB moving forward.


BlueFlex Scheme:


We offer hybrid working with a combination of on-site & home working days to achieve the right work-life balance and allotted time for participating in volunteering and sustainability efforts.


Why you should join us:

  • Developing future leaders.

Become a part of a community where your potential to lead is nurtured from the start. Joining us opens doors to leadership opportunities within our organisation and across the broader industry, as evidenced by over 90% of our executive team began their careers with us.


  • Borderless Careers.

Our career-building approach means you’ll have dedicated systems and an open, honest dialogue with managers and HR, helping you develop your career with potential opportunities across regions and functions.


  • Women in STEM.

Diversity is a key part of our success, and we have focused on gender balance for nearly 25 years. We are dedicated to nurturing and developing female talent both locally and globally. To support this goal, SLB has several initiatives, including mentorship programs, volunteering opportunities, and company-wide webinars, all aimed at helping women succeed.


  • Industry-Leading Equipment.

Engage with cutting-edge technology positioned at the forefront of the industry, contributing to pioneering advancements.


Certifications and Awards:

  • The Disability Equality Index awarded us the title of “Best Place to Work for Disability Inclusion” in 2023.
  • Ranked among LinkedIn’s “Top Companies in the UK for Career Development” in 2024.
  • Proud member of Business Disability Inn and Valuable 500 initiative.
  • Proudly ranked 4.3 out of 5 on Glassdoor for Equality, Diversity, and Inclusion.
  • Proudly ranked 4.1 out of 5 on Glassdoor for overall employee benefits.
  • Proudly ranked 4.2 out of 5 overall on Indeed.


SLB is an equal opportunity employer. Qualified applicants are considered without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, age, disability, status as a protected veteran or other characteristics protected by law.


#SLB #BalancedPlanet #Decarbonisation #NetZero #JoinUsNow

National AI Awards 2025

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.

10 AI Recruitment Agencies in the UK You Should Know (2025 Job‑Seeker Guide)

Generative‑AI hype has translated into real hiring: Lightcast recorded +57 % year‑on‑year growth in UK adverts mentioning “machine learning”, “LLM” or “gen‑AI” during Q1 2025. Yet supply still lags. Roughly 18,000 core AI professionals work in the UK, but monthly live vacancies hover around 1,400–1,600. That mismatch makes specialist recruiters invaluable—opening stealth vacancies, advising on salary bands and fast‑tracking interview loops. But many tech agencies sprinkle “AI” on their website without an active desk. To save you time, we vetted 50 + consultancies and kept only those with: A registered UK head office (verified via Companies House). A named AI/Machine‑Learning or Data practice.

AI Jobs Skills Radar 2026: Emerging Frameworks, Languages & Tools to Learn Now

As the UK’s AI sector accelerates towards a £1 trillion tech economy, the job landscape is rapidly evolving. Whether you’re an aspiring AI engineer, a machine learning specialist, or a data-driven software developer, staying ahead of the curve means more than just brushing up on Python. You’ll need to master a new generation of frameworks, languages, and tools shaping the future of artificial intelligence. Welcome to the AI Jobs Skills Radar 2026—your definitive guide to the emerging AI tech stack that employers will be looking for in the next 12–24 months. Updated annually for accuracy and relevance, this guide breaks down the top tools, frameworks, platforms, and programming languages powering the UK’s most in-demand AI careers.

How to Find Hidden AI Jobs in the UK Using Professional Bodies like BCS, IET & the Turing Society

Stop Scrolling Job Boards and Start Tapping the Real AI Market Every week a new headline announces millions of pounds flowing into artificial-intelligence research, defence initiatives, or health-tech pilots. Read the news and you could be forgiven for thinking that AI vacancies must be everywhere—just grab your laptop, open LinkedIn, and pick a role. Yet anyone who has hunted seriously for an AI job in the United Kingdom knows the truth is messier. A large percentage of worthwhile AI positions—especially specialist or senior posts—never appear on public boards. They emerge inside university–industry consortia, defence labs, NHS data-science teams, climate-tech start-ups, and venture studios. Most are filled through referral or conversation long before a recruiter drafts a formal advert. If you wait for a vacancy link, you are already at the back of the queue. The surest way to beat that dynamic is to embed yourself in the professional bodies and grassroots communities where the work is conceived. The UK has a dense network of such organisations: the Chartered Institute for IT (BCS); the Institution of Engineering and Technology (IET) with its Artificial Intelligence Technical Network; the Alan Turing Institute and its student-driven Turing Society; the Royal Statistical Society (RSS); the Institution of Mechanical Engineers (IMechE) and its Mechatronics, Informatics & Control Group; public-funding engines like UK Research and Innovation (UKRI); and an ecosystem of Slack channels and Meetup groups that trade genuine, timely intel. This article is a practical, step-by-step guide to using those networks. You will learn: Why professional bodies matter more than algorithmic job boards Exactly which special-interest groups (SIGs) and technical networks to join How to turn CPD events into informal interviews How to monitor grant databases so you hear about posts months before they exist Concrete scripts, portfolio tactics, and outreach rhythms that convert visibility into offers Follow the playbook and you move from passive applicant to insider—the colleague who hears about a role before it is written down.