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Join us as a "Senior Data Scientist" at Barclays, where you'll build analytical tools to generate insight, recognise patterns and predict behaviour, and deliver content direct to users of information products. You will work with technical teams, architects, designers, and administrators to overcome technical challenges and to make it happen. You will need to take ownership of key initiatives to deliver results through an agile workflow.Will have to design, test and build complex forecast models and simulations to identify causal links between customer behaviour and business opportunities and performance.
Job Responsibility:
Identification, collection, extraction of data from various sources, including internal and external sources
Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis
Development and maintenance of efficient data pipelines for automated data acquisition and processing
Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data
Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities
Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science
Requirements:
Exceptional ability to extract strategic insights from large data sets and communicate these to non-technical business stakeholders
Experience with multiple of the following methods: PCA, MDS, factor analysis, regression analysis, choice models, cluster analysis, density estimation, kernel methods, Bayesian methods, classification, decision trees, MCMC, systems dynamics, gradient boosting, NLP
Significant experience applying machine learning methods with big data technologies
Significant experience in Python and the key analytical and machine learning libraries
Able to write production quality code with strong grasp of key coding principles: e.g. separation of concerns, generalisation of code
Understanding of GenAI , LLMs and the RAG framework
Ability to understand and translate the pattern recognition, exploration of the data, machine learning and algorithmic learning
Actively seeks out and applies new analytical methods that can improve the speed and quality of the decision takes within Barclays Business
Experience in providing technical mentoring to more junior colleagues
Nice to have:
Masters or PhD in a highly numerate discipline such Statistics, Mathematics, Physics, Computer Science or Engineering with a strong programming background
Experienced in creating business models, both financial and consumer behavioural
Extensive experience of statistical analysis, data mining and visualisation techniques
Experience of data warehouse and MI environments and practises with good working knowledge of SQL and at least one business intelligence package (Tableau/PowerBI)
Experience in PySpark and a Hadoop environment
Project management and cross functional matrix leadership experience
Experience in line management of data scientists
Experience in front end development frameworks such as Angular/React Flask/Streamlit
MVC Architecture
Experience of Agentic AI
What we offer:
Hybrid working
Modern workspaces, collaborative areas, and state-of-the-art meeting rooms
Facilities include wellness rooms, on-site cafeterias, fitness centers, and tech-equipped workstations