Data Scientist

Data ScientistHybrid Working – Local Site – 1-2 days a week on site.Financial ServicesLorien'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.What you’ll doCollaborate 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. Key Skills and ExperienceNLP MasteryProficiency in LLMs and transformer architecture.Deep understanding of traditional NLP techniques.Data & VisualisationSolid 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 SkillsProficiency in cloud computing and python programming.Familiarity with Python libraries like Pandas, NumPy, scikit-learn.Experience with cloud services for mode training and deployment.Machine Learning FundamentalsStatistical 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 OperationsExpertise in managing and operationalising large language models.Experience in deploying models on cloud platforms (e.g. AWS, Sage maker, Google AI Platform, IBM Watson)IND_PC3

Created: 2026-01-18