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- Tasks: Analyse data using SQL and Python to drive insights and automate processes.
- Company: Join an award-winning tech consultancy with a global reach.
- Benefits: Flexible work schedule, competitive pay, and opportunities for professional growth.
- Why this job: Be at the forefront of Generative AI and make a real impact in the industry.
- Qualifications: Experience in data analysis, Python, SQL, and understanding of Generative AI concepts.
- Other info: Collaborative environment with diverse backgrounds and excellent career advancement opportunities.
The predicted salary is between 36000 - 60000 £ per year.
Our client is looking for a GenAI Data Analyst to join their team on a six month initial contract, working two days a week onsite in London or Edinburgh. This role is Inside IR35.
Your responsibilities:
- Deliver end to end data analysis using SQL and Python to generate insights, automate processes, and support strategic decision making.
- Build interactive dashboards and visualizations that drive performance tracking and business insights.
- Develop, finetune, benchmark, and evaluate GenAI/LLM models, including RAG pipelines and robust evaluation frameworks.
- Design scalable data pipelines, enforce data quality, and implement strong governance aligned to commercial and institutional requirements.
- Collaborate with business stakeholders to translate business needs into analytical solutions and AI capabilities that deliver measurable value.
Essential skills/knowledge/experience:
- Strong experience in data analysis using Python (Pandas, NumPy) and SQL.
- Good understanding of Generative AI concepts (LLMs, embeddings, prompt engineering).
- Experience working with structured and unstructured data (text, logs, transaction data).
- Knowledge of financial crime domains (AML, KYC, transaction monitoring, fraud).
- Familiarity with AWS data & AI services (Azure OpenAI, Databricks preferred).
GenAI Data Analyst in Edinburgh employer: LA International
Contact Detail:
LA International Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GenAI Data Analyst in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those using Python and SQL. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on Generative AI concepts and be ready to discuss how you've tackled real-world data challenges. Practising common interview questions can help you feel more confident when it’s your turn to shine.
✨Tip Number 4
Don’t forget to apply through our website! It’s super easy, and we’ll handle the rest. Plus, it shows you’re serious about joining our team and makes it easier for us to find the right fit for you.
We think you need these skills to ace GenAI Data Analyst in Edinburgh
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and Generative AI. We want to see how your skills match the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the GenAI Data Analyst position and how your background aligns with the responsibilities outlined in the job description.
Showcase Your Analytical Skills: In your application, give examples of how you've used data analysis to drive decision-making. We love seeing real-world applications of your skills, especially in financial crime domains if you have that experience!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the easiest way for us to keep track of your application and ensure it gets the attention it deserves.
How to prepare for a job interview at LA International
✨Know Your Tech Inside Out
Make sure you brush up on your SQL and Python skills, especially with libraries like Pandas and NumPy. Be ready to discuss how you've used these tools in past projects, as well as any experience you have with Generative AI concepts.
✨Showcase Your Analytical Mindset
Prepare examples of how you've delivered end-to-end data analysis in previous roles. Think about specific insights you've generated and how they influenced decision-making. This will demonstrate your ability to translate data into actionable strategies.
✨Visualisation is Key
Be ready to talk about your experience building interactive dashboards and visualisations. Bring examples if possible, and explain how these tools helped track performance and drive business insights. This shows you can communicate complex data effectively.
✨Understand the Business Context
Familiarise yourself with the financial crime domains mentioned in the job description, like AML and KYC. Being able to discuss how your analytical solutions can add measurable value in these areas will set you apart from other candidates.
