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.
#J-18808-Ljbffr