AI/ML Data Scientist

Job Description

Purpose of the role

To use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organisation. 

Accountabilities

• 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.

Vice President Expectations

• Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment.
• Manage and mitigate risks through assessment, in support of the control and governance agenda.
• Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does.
• Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business.
• Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies.
• Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions.
• Adopt and include the outcomes of extensive research in problem solving processes.
• Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes.

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Join us as a AI/ML Data Scientist at Barclays where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionise our digital offerings, ensuring unapparelled customer experiences.

To be successful as an AI/ML Data Scientist you should have experience with:

• Python programming aligned to data transformation, cleanse, data analytics and natural language understanding/processing
• Working with large structured and unstructured data from multiple sources/logs/transcripts
• Excel (advanced i.e macros/indexing/lookups)
• Proficient with SQL (or similar query languages)
• AWS Ecosystem (Lex, Connect, Cloudwatch, SageMaker, Bedrock)
• Interfacing with centralised data solutions i.e. data warehouse/data lakes
• Required Data Visualisation experience (configuration/implementing dashboards) ideally ESaaS/Kibana or similar i.e. Tableau, PowerBI, Qlik etc
• Machine Learning & Deep Learning Knowledge Programming
• Good understanding of NLP techniques & model is crucial 
• AWS ecosystem

Other highly valued skills include:

• Data engineering /MLOps experience (building data pipelines ) & Building chatbot experience
• AWS connect, Bedrock, SageMaker & LEX
• ML libraries experience
• Base understanding of technology strategy including infrastructure estate, applications, cloud, digital, data, cyber and GenAI technologies.
• Good understanding of governance, and operational matters including financials, workforce, controls, processes and reporting.
• A demonstrated ability to easily identify and drive process efficiencies and automation opportunities to improve output.
• Good consulting skills, with demonstrated success working in collaboration with different teams across banking and in managing teams to deliver outputs

This role will be based out of our Northampton campus