Machine Learning jobs in United Kingdom
Data Scientist
Job summary
A leading technology consultancy in the UK is seeking a Data Scientist to leverage NLP and create intelligent conversational agents. This hybrid position requires collaboration with cross-functional teams and proficiency in data visualization tools like Tableau and Power BI. Candidates should have experience with large datasets and a solid grounding in statistics and machine learning principles.
Qualifications
- Proficiency in cloud computing and various Python libraries.
- Deep understanding of statistical methods and machine learning principles.
- Ability to visualize complex data insights effectively.
Responsibilities
- Collaborate with teams to enhance GenAI-Powered solutions.
- Utilize NLP techniques to develop conversational agents.
- Create data visualizations with tools like Tableau and Power BI.
- Drive the development of visualisation layers for analytics.
Skills
Tools
Data Scientist. Hybrid working – Local site with 1-2 days on site. Financial Services.
- Collaborate with cross-functional teams to develop and enhance our GenAI-Powered smartdigital 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.
- 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, NumPy, 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 operationalising large language models.
- Experience in deploying models on cloud platforms (e.g. AWS, SageMaker, Google AI Platform, IBM Watson).
IND_PC3
Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.