At a Glance
- Tasks: Analyse data using SQL and Python to drive insights and automate processes.
- Company: Join a forward-thinking company in the heart of London or Edinburgh.
- Benefits: Enjoy hybrid work, competitive pay, 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 and a passion for Generative AI concepts.
- Other info: Collaborate with stakeholders in a dynamic environment focused on innovation.
The predicted salary is between 36000 - 60000 £ per year.
Location: London (or) Edinburgh, UK
Position Type: Contract Inside IR35
Remote work option Available: Hybrid (2 Days onsite in a week)
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)
Gen AI Data Analyst employer: Vallum Associates
Contact Detail:
Vallum Associates Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Gen AI Data Analyst
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Gen AI Data Analyst role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects using SQL and Python. We recommend including interactive dashboards and any cool visualisations you've built. This will give potential employers a taste of what you can do!
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of Generative AI concepts and be ready to discuss how you’ve tackled real-world data challenges. We suggest practising common interview questions related to data analysis and AI.
✨Tip Number 4
Apply through our website! We make it super easy for you to find and apply for roles like the Gen AI Data Analyst. Plus, we’re always on the lookout for talent that can bring value to our team, so don’t hesitate!
We think you need these skills to ace Gen AI Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and SQL, as well as any work you've done with Generative AI. We want to see how your skills match the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're the perfect fit for the Gen AI Data Analyst role. Share specific examples of how you've delivered data analysis or built dashboards in the past. Keep it engaging and personal!
Showcase Your Problem-Solving Skills: In your application, highlight instances where you've tackled complex data challenges or collaborated with stakeholders to deliver analytical solutions. We love seeing how you approach problems and drive results!
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 the role. Plus, it’s super easy – just follow the prompts!
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 examples of how you've delivered data analysis that led to actionable insights. Think about specific instances where your work influenced decision-making or improved processes, and be ready to share those stories.
✨Visualisation is Key
Since building dashboards and visualisations is part of the role, come prepared to discuss your experience with this. Bring examples of dashboards you've created and be ready to explain the thought process behind your design choices.
✨Understand the Business Context
Familiarise yourself with the financial crime domains mentioned in the job description. Being able to speak knowledgeably about AML, KYC, and fraud will show that you understand the business needs and can translate them into analytical solutions.