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- Tasks: Join our team to analyse HR data and automate workflows using AI.
- Company: SLB is a global tech leader innovating energy solutions for a sustainable future.
- Benefits: Enjoy hybrid working, leadership development, and initiatives supporting women in STEM.
- Why this job: Contribute to impactful projects while developing valuable data science skills in a supportive environment.
- Qualifications: Pursuing a degree in Data Science or related field; strong programming and analytical skills required.
- Other info: Internship lasts 1 year, starting Summer 2025, based in London HQ.
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!
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.
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.
HR Data Science Intern employer: SLB
Contact Detail:
SLB Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land HR Data Science Intern
✨Tip Number 1
Familiarise yourself with SLB's mission and values. Understanding their commitment to energy innovation and decarbonisation will help you align your discussions and demonstrate your enthusiasm for contributing to their goals during interviews.
✨Tip Number 2
Brush up on your data science skills, particularly in Python and machine learning frameworks like TensorFlow or Scikit-learn. Being able to discuss specific projects or experiences where you've applied these skills can set you apart from other candidates.
✨Tip Number 3
Network with current or former SLB employees on platforms like LinkedIn. Engaging with them can provide insights into the company culture and expectations, and they might even offer tips on how to stand out in the application process.
✨Tip Number 4
Prepare to discuss how you can contribute to HR data-driven decision-making. Think of examples where you've used data analysis to solve problems or improve processes, as this will resonate well with the role's responsibilities.
We think you need these skills to ace HR Data Science Intern
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant skills and experiences that align with the HR Data Science Intern role. Emphasise your understanding of data analysis, machine learning, and any programming languages you are proficient in, particularly Python.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and HR. Mention specific projects or experiences that demonstrate your problem-solving skills and ability to work in teams. Relate your goals to SLB's mission of driving energy innovation.
Showcase Relevant Projects: If you have worked on any data science projects, include them in your application. Describe your role, the tools you used (like Power BI or machine learning frameworks), and the outcomes. This will help illustrate your practical experience.
Highlight Soft Skills: In addition to technical skills, emphasise your communication abilities and teamwork experience. SLB values collaboration, so mentioning instances where you've successfully worked with others will strengthen your application.
How to prepare for a job interview at SLB
✨Understand the Company’s Mission
Before your interview, make sure you understand SLB's mission and values. Familiarise yourself with their focus on energy innovation and decarbonisation. This will help you align your answers with their goals and demonstrate your genuine interest in the company.
✨Showcase Your Data Skills
Be prepared to discuss your experience with data analysis, machine learning, and programming languages like Python. Bring examples of projects or coursework that highlight your skills in these areas, as they are crucial for the HR Data Science Intern role.
✨Prepare for Technical Questions
Expect technical questions related to data science concepts, statistical methods, and data visualisation tools. Brush up on your knowledge of libraries like Pandas and NumPy, and be ready to explain how you would approach real-world HR data challenges.
✨Demonstrate Team Collaboration
Since the role involves working with cross-functional teams, be ready to share examples of how you've successfully collaborated in the past. Highlight your communication skills and ability to work both independently and as part of a team, as these are essential for the internship.
