Senior AI-Driven Business Analyst, Commodities Trading

Senior AI-Driven Business Analyst, Commodities Trading

Temporary 57036 - 69710 £ / year (est.) No working from home possible
Airswift

At a Glance

  • Tasks: Bridge business and tech teams to deliver AI-driven products in commodities trading.
  • Company: Airswift, a leader in innovative trading solutions.
  • Benefits: Competitive pay, flexible hours, and opportunities for professional growth.
  • Other info: Exciting 4-month engagement with potential for future opportunities.
  • Why this job: Join a dynamic team and shape the future of AI in trading.
  • Qualifications: Experience in business analysis and a passion for AI and trading.

The predicted salary is between 57036 - 69710 £ per year.

Airswift seeks an experienced Senior Business Analyst (AI & Commodities Trading) in London for a 4-month engagement.

You will bridge business stakeholders and technology teams to deliver AI-enabled products in a global trading context.

The role collaborates with traders, schedulers, commercial teams, engineers, and data scientists on strategic initiatives.

You will lead discovery, define user stories, ensure alignment across teams, and drive continuous improvement with a focus on AI, analytics,

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Senior AI-Driven Business Analyst, Commodities Trading employer: Airswift

Join a forward-thinking company in the oil and gas sector, where as a Principal Structural Engineer in Aberdeen, you will thrive in a supportive work culture that values innovation and collaboration. Enjoy competitive benefits, opportunities for professional development, and the chance to work on impactful projects that shape the industry. With a focus on safety and ethics, this role offers a meaningful career path in a vibrant location known for its engineering excellence.

Airswift

Contact Details:

Airswift Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior AI-Driven Business Analyst, Commodities Trading

Tap into Online Data Science Communities

Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Airswift before they're even advertised!

Show Off Your Skills With Projects

Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.

Check Out Specialist Job Boards

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Leverage University Resources

If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Airswift.

We think you need these skills to ace Senior AI-Driven Business Analyst, Commodities Trading

Business Analysis
AI Integration
Stakeholder Management
User Story Definition
Collaboration
Continuous Improvement
Analytics

Some tips for your application 🫡

Highlight Your Data Projects:When applying for a temporary data science role at Airswift, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.

Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!

Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Airswift, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.

Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Airswift’s attention and show the tangible impact of your work.

How to prepare for a job interview at Airswift

Showcase Your Analytical Skills

For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Airswift.

Brush Up on Technical Skills

You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.

Highlight Your Adaptability

Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Airswift.

Prepare a Portfolio of Your Work

Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Airswift.