At a Glance
- Tasks: Transform data and deliver AI insights that shape real business decisions.
- Company: Fast-paced organisation in the innovative metals trading sector.
- Benefits: Gain hands-on experience, develop skills, and work with modern AI tools.
- Other info: Dynamic environment with opportunities for growth and collaboration.
- Why this job: Make a tangible impact while solving real-world data challenges.
- Qualifications: Graduate in a quantitative field or equivalent experience; strong Python and SQL skills.
The predicted salary is between 30000 - 40000 £ per year.
Are you an enthusiastic early‑career data professional with a passion for AI, analytics, and solving real business problems? An innovative and fast‑paced organisation in the metals trading sector is looking for a proactive AI & Data Analyst to join its Projects Team. This is a hands‑on role where you’ll help deliver data products and AI‑powered insights that directly shape business decisions.
As an AI & Data Analyst, you’ll work across the full data lifecycle from sourcing and transforming data to exploratory analysis, feature development, modelling support and clear communication of results. You’ll collaborate closely with business users, contribute to good engineering practices, and play a key role in producing dashboards and analysis that make a tangible impact.
What You’ll Be Doing
- Integrating and transforming data from internal systems and external sources; maintaining essential documentation and metadata.
- Assessing datasets for quality, completeness and bias; proposing improvements and tracking their impact.
- Conducting exploratory analysis on structured and unstructured data and producing clear dashboards/visualisations (Power BI/Tableau).
- Supporting development and evaluation of lightweight machine‑learning models, ensuring reproducibility and version control (Git).
- Using AI‑assisted development tools to accelerate delivery while upholding accuracy, transparency and auditability.
- Working with stakeholders to refine requirements, translate business questions into data tasks, and support UAT for analytics releases.
- Contributing to best practices in security, privacy, responsible AI, coding standards, documentation and simple automation.
Who We’re Looking For
- A graduate in a quantitative field (Computer Science, Data/AI, Maths/Stats, Engineering) or equivalent experience.
- Strong foundations in Python (Pandas, NumPy, visualisation libraries; scikit‑learn; exposure to PyTorch useful), SQL, BI tools (Power BI/Tableau), and Git.
- Understanding of basic data modelling concepts and metadata management.
- Nice to have: exposure to modern data engineering tools (cloud data warehouses/lakehouses, ETL/ELT, orchestration tools, APIs, CI/CD).
- Solid grounding in statistics and model evaluation.
- Clear communicator able to present technical findings to non‑technical stakeholders.
- Curious, analytical, and comfortable working with ambiguity and iterative delivery.
- Commercial awareness; experience or interest in financial markets is a plus.
- Able to work effectively in a hybrid environment.
- Typically up to 3 years’ experience in data/analytics (internships and project work welcome).
Why Apply?
This is an exceptional opportunity for an early‑career analyst to gain hands‑on experience with real‑world data challenges, work with modern AI tools, and develop both technical and commercial skills in a dynamic environment.
AI and Data Analyst 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 and Data Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, dashboards, and any AI models you've worked on. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis questions and case studies. Practice explaining your thought process clearly, especially when discussing technical concepts with non-technical folks.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace AI and Data Analyst
Some tips for your application 🫡
Show Your Passion for Data:When writing your application, let your enthusiasm for AI and data shine through! Share specific examples of projects or experiences that sparked your interest in analytics and how you’ve tackled real business problems.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for the AI & Data Analyst role. Highlight relevant skills like Python, SQL, and any experience with BI tools. We want to see how your background aligns with what we’re looking for!
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language to explain your technical skills and experiences, especially when discussing complex topics. Remember, we appreciate good communication, especially when it comes to presenting findings!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Marlin Selection Ltd
✨Know Your Data Tools
Make sure you brush up on your skills with Python, SQL, and BI tools like Power BI or Tableau. Be ready to discuss how you've used these tools in past projects or internships, as this will show your practical experience and understanding of the data lifecycle.
✨Showcase Your Analytical Mindset
Prepare to talk about specific examples where you've solved complex problems using data. Think about times when you assessed data quality or conducted exploratory analysis. This will demonstrate your analytical skills and your ability to turn data into actionable insights.
✨Communicate Clearly
Since you'll be working with non-technical stakeholders, practice explaining technical concepts in simple terms. Prepare a few examples of how you've communicated findings in the past, especially if you’ve created dashboards or visualisations that made an impact.
✨Be Curious and Engaged
Show your enthusiasm for AI and data analytics by asking insightful questions about the company's projects and challenges. This not only demonstrates your interest but also your proactive nature, which is key for a role that involves collaboration and innovation.
