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.
What you’ll do
* 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.
Key Skills and Experience
NLP Mastery
* Proficiency in LLMs and transformer architecture.
* Deep understanding of traditional NLP techniques.
Data & Visualisation
* 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 mode 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, Sage maker, Google AI Platform, IBM Watson)
IND_PC3