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For Companies At a Glance
- Tasks: Analyse data using SQL and Python to drive insights and automate processes.
- Company: Join a forward-thinking company focused on Generative AI and data innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make an impact by developing AI solutions that deliver real business value.
- Qualifications: Experience in data analysis, Python, SQL, and understanding of Generative AI.
- Other info: Collaborative environment with a focus on cutting-edge technology and career advancement.
The predicted salary is between 36000 - 60000 £ per year.
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.
Your Profile
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 London employer: Vallum Associates
Contact Detail:
Vallum Associates Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GenAI Data Analyst in London
✨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 with Generative AI concepts.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding of financial crime domains. Be ready to discuss how you've tackled similar challenges in the past and how you can bring value to the team.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace GenAI Data Analyst in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and SQL in your application. We want to see how you've used these tools to deliver insights and automate processes, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for the GenAI Data Analyst role. Mention your understanding of Generative AI concepts and how they relate to the responsibilities outlined in the job description.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so make sure your key experiences and skills shine through without unnecessary fluff.
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 at StudySmarter!
How to prepare for a job interview at Vallum Associates
✨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 to talk about specific examples where you've delivered data analysis that led to actionable insights. Think about how you can demonstrate your ability to translate complex data into clear, strategic decisions for stakeholders.
✨Visualisation is Key
Since building interactive dashboards is part of the role, be ready to discuss your experience with data visualisation tools. Bring examples of dashboards you've created and explain how they helped drive performance tracking or business insights.
✨Understand the Business Context
Familiarise yourself with the financial crime domains mentioned in the job description. Being able to relate your technical skills to real-world applications in AML, KYC, or fraud detection will show that you understand the bigger picture and can deliver measurable value.
