The Senior Data Analyst will develop and evaluate Generative AI and LLMs, implement machine learning models, and collaborate with teams to enhance customer experience and deliver data insights.
What We Look For
- Previous experience in data science, with proven experience in Generative AI and LLM development and evaluation.
- Hands-on experience in customer behaviour analytics, marketing, commercial, web, or product analytics with core focus in customer experience (if available)
- Build and evaluate Generative AI solutions and Large Language Models (LLMs) for various use cases.
- Develop and implement machine learning models, including predictive, forecasting, classification, and deep learning models.
- Experience in working with various data sets, including transactional/EPOS, digital, social, loyalty etc.
- Hands on experience in using programming languages such as Python
- Knowledge of cloud platforms and tools for data science and machine learning.
- Utilise visualization tools such as Power BI or Tableau to present data insights effectively.
- Collaborate with cross-functional teams to understand business challenges and create valuables products/solutions
- Proven project management experience, including planning, execution, and successful delivery of AI/ML POCs, MVPs and production grade solutions.
- People management skills, including mentoring, guiding, and developing team members.
It Would Be a Bonus If You Have
- Experience in primary growth sectors; CPR (Consumer Products & Retail), ETU (Energy, Utilities, and Telecommunications), and PS (Public Sector).
- Familiarity with Agentic AI development
- Familiarity with ethical considerations and best practices in AI and data science.
- A Curious mindset and interest with the latest advancements in AI, machine learning, and data science space
Top Skills
Cloud Platforms
Generative Ai
Large Language Models
Machine Learning
Power BI
Python
Tableau
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What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering



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