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Principal Consultant @ McGregor Boyall | AI/ML, Data Science GenAI Specialist
London
Are you a Data Scientist with a passion for Generative AI and Large Language Models (LLMs)? Join a leading financial institution's Technology team, working on cutting-edge AI-driven solutions to transform credit risk management and financial data analytics.
The Role
This is a development-focused position where you'll be responsible for data extraction, analysis, and model development using ML, DL, and LLMs. You'll clean and manipulate complex financial datasets, build predictive and prescriptive models, and implement them in production environments.
Start Date: ASAP
Duration: TBD
Location: London (Hybrid, 3 days on-site)
Responsibilities of a GenAI Specialist
Develop and deploy AI models, focusing on GenAI and LLMs .
Extract, clean, and analyse structured and unstructured data.
Implement scalable ML/DL solutions through the full model lifecycle.
Collaborate with cross-functional teams to drive AI innovation.
Present analytical findings to business and technology stakeholders.
Requirements for a GenAI Specialist:
Master's/PhD in Computer Science, Data Science, Mathematics, or related field.
5+ years of experience in ML modeling, ranking, or recommendation systems .
Proficiency in Python, SQL, Spark, PySpark, TensorFlow .
Strong knowledge of LLM algorithms and training techniques .
Experience deploying models in production environments.
Nice to Have:
Experience in GenAI/LLMs
Familiarity with distributed computing tools (Hadoop, Hive, Spark).
Background in banking, risk management, or capital markets .
Why Join?
This is a unique opportunity to work at the forefront of AI innovation in financial services. If you're ready to apply cutting-edge ML & GenAI techniques to complex business challenges, we'd love to hear from you!
McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.
Seniority level Seniority level Mid-Senior level
Employment type Employment type Full-time
Job function Industries Data Infrastructure and Analytics
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