Data Scientist

Overview

Data Scientist. Hybrid working - Local site with 1-2 days on site. Financial Services.

Responsibilities

• Collaborate with cross-functional teams to develop and enhance our GenAI-Powered smartdigital assistant.
• Leverage expertise in NLP and transformer architectures to create intelligent conversational agents.
• Dive into traditional NLP techniques and stay ahead of the curve.
• Apply understanding of fundamental concepts-statistics, linear algebra, calculus, regression, classification, and time series analysis-to extract valuable insights from data.
• Drive data visualisation efforts - whether it's Tableau, Power BI, or Cognos - to create compelling visualisations that bring data to life.
• Contribute to the development of a visualisation layer for analytics, making complex insights accessible and actionable.

Key Skills and Experience NLP Mastery

• Proficiency in LLMs and transformer architecture.
• Deep understanding of traditional NLP techniques.
• Solid grasp of data visualisation tools (Tableau, Power BI, Cognos, etc.).
• Proficiency in Python visualisation libraries (Matplotlib, Seaborn).
• SQL for data extraction and manipulation.
• Experience working with large datasets.

Technical Skills

• Proficiency in cloud computing and Python programming.
• Familiarity with Python libraries like Pandas, NumPy, scikit-learn.
• Experience with cloud services for model training and deployment.

Machine Learning Fundamentals

• Statistical concepts for robust data analysis.
• Linear algebra principles for modelling and optimisation.
• Calculus for optimising algorithms and models.
• Predictive modelling techniques for regression and classification.
• Time series analysis for handling time-dependant data.
• Deep learning and neural networks.

LLM Operations

• Expertise in managing and operationalising large language models.
• Experience in deploying models on cloud platforms (e.g. AWS, SageMaker, Google AI Platform, IBM Watson).

IND_PC3

Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.