Data Scientist
Job in
City Of London, Central London, Greater London, England, UK
Listed on 2026-01-14
Listing for:
Lorien
Full Time
position Listed on 2026-01-14
Job specializations:
-
IT/Tech
Data Scientist, Data Analyst, Machine Learning/ ML Engineer, AI Engineer
Job Description & How to Apply Below
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 smart digital 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.
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.
- Proficiency in cloud computing and Python programming.
- Familiarity with Python libraries like Pandas, Num Py, scikit-learn.
- Experience with cloud services for model training and deployment.
- 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.
- Expertise in managing and ope rationalising large language models.
- Experience in deploying models on cloud platforms (e.g. AWS, Sage Maker, Google AI Platform, IBM Watson).
Carbon
60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.
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