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 Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
