Data Scientist

eFinancialCareers; Greater London; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

A leading financial technology recruiter seeks to hire a Data Scientist to join their client on a GenAI-Powered Digital Assistant project. The role involves collaborating with teams to enhance the digital assistant and requires proficiency in NLP, strong data visualisation skills, and expertise in Python and cloud services. Candidates should be adept in managing large datasets and deploying models on cloud platforms. This position offers a hybrid working model with local site requirements.

Qualifications

• Proficiency in LLMs and transformer architecture.
• Solid grasp of data visualisation tools.
• Experience with cloud services for model training and deployment.

Responsibilities

• Collaborate with cross-functional teams to enhance GenAI-Powered digital assistant.
• Create intelligent conversational agents using NLP.
• Develop compelling visualisations for data interpretation.

Skills

NLP mastery

Data visualisation

Python programming

SQL

Machine learning fundamentals

Tools

Tableau

Power BI

Cognos

AWS

Google AI Platform

IBM Watson

Job description

Data Scientist
Hybrid Working - Local Site - 1-2 days a week on site.
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 smartdigital 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)