Data Scientist - Lorien Impellam eFinancialCareers
Job in
Greater London, London, Greater London, W1B, England, UK
Listed on 2026-02-20
Listing for:
Notjustlabcoats
Part Time
position Listed on 2026-02-20
Job specializations:
-
IT/Tech
Data Scientist, Data Analyst, Machine Learning/ ML Engineer, Data Engineer
Job Description & How to Apply Below
Overview
Data Scientist
Hybrid Working - Local Site - 1-2 days a week on site.
Financial Services
Lorien's leading banking client is looking for a number of Data Scientists to join them on a new long term project which will be working on GenAI-Powered Digital Assistant programme.
Responsibilities- Collaborate with cross-functional teams to develop and enhance our GenAI-Powered smart digital assistant.
- Leverage your expertise in NLP and transformer architectures to create intelligent conversational agents.
- Dive into the world of traditional NLP techniques and stay ahead of the curve.
- Apply a strong understanding of fundamental concepts—statistics, linear algebra, calculus, regression, classification, and time series analysis—to extract valuable insights from data.
- Be the driving force behind our data visualisation efforts—whether its Tableau, Power BI, or Cognos you'll create compelling visualisations that bring data to life.
- Contribute to the development of a fantastic 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 mode 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)
Guidant, Carbon
60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
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