At a Glance
- Tasks: Research and update shipping market data while supporting shipbrokers with reports and presentations.
- Company: Gibson Shipbrokers, a leading independent shipbroker with a strong team ethos.
- Benefits: Gain valuable experience in commercial shipping with potential for career growth.
- Other info: 3-month internship in London with a chance to extend; inclusive workplace.
- Why this job: Kickstart your career in shipping with hands-on experience in a dynamic environment.
- Qualifications: Basic shipping knowledge, strong attention to detail, and good communication skills.
The predicted salary is between 22500 - 27500 £ per year.
About the Company: Gibson Shipbrokers is the first UK shipbroker to become a fully independent, employee-owned company, run on behalf of, and for the benefit of all worldwide employees of the company. We have an unrivalled team ethos and are dedicated to providing a working environment which gives employees autonomy to do their best work, respects families and personal lives, and seeks to be fair in all we do. With established offices across London, Athens, Dubai, Mumbai, Singapore, Hong Kong and Houston, we offer our clients a highly professional platform of global shipping solutions. Providing support to clients operating in the Tanker, Dry Cargo, Offshore, Gas and Sale & Purchase markets, we are able to draw on our industry experience to deliver world-class services. Around the world, the Gibson name represents excellence within the shipbroking industry. Proud of our 133-year heritage, we have continued to grow, adapting to the many changes that influence our global markets. Our pro-active and professional team are continuously driving the company forward ensuring we remain a market leader.
Summary of Job Role: Gibson are seeking a Data Research Intern to join the Consultancy & Research team based in London. This is an ideal entry level role for a recent graduate interested in developing a career within commercial shipping. Candidates should have basic shipping market knowledge whilst any experience in the energy markets would also be advantageous. A strong eye for detail, inquisitive nature, and high level of accuracy is essential.
Key responsibilities include:
- Research, collate and accurately update Gibson’s proprietary databases including freight rates, fixtures, vessel characteristics and other relevant market information.
- Support Gibson’s shipbrokers and broking clients research requests, including but not limited to, assembling, organising and distributing data sets, reports, charts, preparing presentations and analysis.
- Compile daily, monthly and weekly market reports.
- Support Gibson’s role as a London Tanker Brokers Panel (LTBP) member.
Essential Skills/Experience:
- Good experience with MS Excel
- Good communication skills
- Attention to detail/accuracy
- Excellent teamwork and ability to learn fast
Desirable Skills/Experience:
- Oil/energy market knowledge
- Database updating experience
- Advanced excel/modelling skills
Role Details: 3-month fixed-term internship, with potential to extend. Hours: Full-time, Monday to Friday. Location: London office.
Equal Opportunities: Gibson Shipbrokers is an equal opportunities employer. We welcome applications from all backgrounds and are committed to building an inclusive workplace. Applicants must have the right to work in the UK. If you require any adjustments during the recruitment process, please let us know.
Data Research Internship in London employer: EA Gibson Shipbrokers
Gibson Shipbrokers is an exceptional employer, offering a unique employee-owned structure that empowers individuals to thrive in a supportive and inclusive environment. With a strong commitment to work-life balance and professional development, our London office provides interns with invaluable exposure to the commercial shipping industry, fostering growth through hands-on experience and collaboration with seasoned professionals. Join us to be part of a legacy of excellence in shipbroking while contributing to innovative solutions in a dynamic global market.
StudySmarter Expert Advice🤫
We think this is how you could land Data Research Internship in London
✨Join Data-Science Meetups
Get yourself along to local data-science meetups or workshops. They're goldmines for networking, and you'll learn from industry pros who might just point you in the direction of internships. Plus, discussing the latest trends with like-minded individuals can really amp up your game.
✨Utilise University Career Services
Check in with your uni's career services since they often have connections with companies looking for interns. They might even organise information sessions with firms, which can be a great chance for you to learn more about potential internships and make some key contacts.
✨Show Off Your Stuff on GitHub
If you're into data science, having a GitHub profile with your projects is essential. Make sure your portfolio is public and showcases your best work! Recruiters love to see your coding skills and problem-solving approach, and it’s a brilliant way to stand out.
✨Apply Directly on Our Website
Don’t forget to check out the internships listed on our site! It's always a good idea to apply directly through our website because it makes your application easier for our team to find, and you might just catch the hiring manager’s eye by showcasing exactly what you're passionate about in data science.
We think you need these skills to ace Data Research Internship in London
Some tips for your application 🫡
Show Off Your Technical Skills:For a data science internship, we want to see those analytical skills shine! List your programming languages, like Python or R, and make sure to highlight any relevant projects or courses you've completed. If you've dabbled with tools like Pandas, NumPy, or machine learning algorithms, don’t hold back – include those in your CV!
Share Your Curiosity in Your Cover Letter:As an intern, your motivation and eagerness to learn are key! In your cover letter, talk about specific data science concepts that excite you and how this internship at EA Gibson Shipbrokers will help you grow. Share what you hope to achieve and how you plan to tackle real-world data problems - we love enthusiasm!
Include Any Relevant Certifications:If you've earned any certifications, such as from Coursera or DataCamp, make sure to include these in your application. They show us that you're proactive and committed to expanding your data science skillset. This could make a real difference in how we assess your application!
Keep It Relevant and Concise:Remember, as an intern, you don’t need to have decades of experience. Focus on showcasing relevant coursework, personal projects, or even related volunteer work in data science. Keep your CV and cover letter concise but impactful – we appreciate clear and straightforward communication!
How to prepare for a job interview at EA Gibson Shipbrokers
✨Brush Up on Your Coding Skills
As a data science intern, you might get grilled on your programming skills. Expect to tackle some coding challenges using languages like Python or R. We recommend practising basic algorithms or data manipulation tasks so you can show off your tech skills with confidence.
✨Show Off Your Projects
Prepare to discuss any projects you’ve done, whether in your studies or on your own time. Having a strong portfolio of data analyses or machine learning models will really set you apart. We can use platforms like GitHub to showcase your work to impress EA Gibson Shipbrokers.
✨Know Your Stats and ML Basics
Brush up on your statistics and machine learning concepts because interviewers love to dig into this! Be ready to explain your understanding of algorithms or how you would approach a given data problem. This will highlight your theoretical background alongside your practical skills.
✨Be Eager to Learn and Adapt
Internships are all about potential and growth. Make sure you convey your eagerness to learn and adapt to new tools or methodologies. Show EA Gibson Shipbrokers that you’re not just looking for experience, but that you're keen to contribute and grow within the team.
