At a Glance
- Tasks: Deliver data products and AI insights while collaborating with stakeholders.
- Company: Innovative organisation in the metals trading sector.
- Benefits: Hybrid work model, hands-on experience, and growth opportunities.
- Other info: Dynamic environment with exciting career development prospects.
- Why this job: Tackle real data challenges and make a tangible impact.
- Qualifications: Degree in a quantitative field and strong Python skills.
The predicted salary is between 35000 - 45000 £ per year.
An innovative organization in the metals trading sector seeks an enthusiastic AI & Data Analyst to join its Projects Team. In this hands-on role, you will help deliver data products and AI-powered insights, collaborating closely with stakeholders.
Responsibilities include:
- Data integration
- Exploratory analysis
- Supporting machine-learning models
A degree in a quantitative field and solid Python skills are essential for success. This is a unique opportunity to tackle real data challenges and grow in a dynamic environment.
AI & Data Analyst - Hybrid Role Solving Real Business employer: Marlin Selection Ltd
Join a well-established financial services firm in London that values collaboration and employee growth. With a supportive work culture, you will benefit from a hybrid working model, excellent development opportunities, and the chance to gain diverse experience in both HR and Legal functions. This role not only offers a dynamic work environment but also encourages professional advancement in a thriving sector.
StudySmarter Expert Advice🤫
We think this is how you could land AI & Data Analyst - Hybrid Role Solving Real Business
✨Tip Number 1
Network like a pro! Reach out to people in the metals trading sector or those already working as AI & Data Analysts. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially any that involve Python or machine learning. This will help you stand out and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis scenarios. Think about how you would tackle real business problems using AI and data integration. Practice explaining your thought process clearly.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from enthusiastic candidates who are ready to dive into the world of data and AI with us.
We think you need these skills to ace AI & Data Analyst - Hybrid Role Solving Real Business
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your relevant skills and experiences that align with the AI & Data Analyst role. We want to see how your background in data integration and Python shines through!
Craft a Compelling Cover Letter:Your cover letter is your chance to show us your enthusiasm for the role. Share why you're excited about tackling real data challenges in the metals trading sector and how you can contribute to our Projects Team.
Showcase Your Projects:If you've worked on any data projects or machine-learning models, don’t hold back! We love seeing practical examples of your work, so include links or descriptions that demonstrate your hands-on experience.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our dynamic environment!
How to prepare for a job interview at Marlin Selection Ltd
✨Know Your Data
Make sure you brush up on your data integration and exploratory analysis skills. Be ready to discuss specific projects where you've used Python to solve real data challenges. This will show your potential employer that you can hit the ground running.
✨Understand the Business
Research the metals trading sector and understand how AI and data analytics can impact this industry. Being able to speak knowledgeably about the business context will impress your interviewers and demonstrate your enthusiasm for the role.
✨Prepare for Technical Questions
Expect questions that test your Python skills and understanding of machine-learning models. Practise coding problems and be prepared to explain your thought process. This will help you showcase your technical expertise effectively.
✨Showcase Collaboration Skills
Since this role involves working closely with stakeholders, be ready to share examples of how you've successfully collaborated in past projects. Highlight your communication skills and ability to translate complex data insights into actionable recommendations.
