Samuel Thomas Email & Phone Number

Folkestone, Gb

Reading, England, United Kingdom

London, England, United Kingdom

Experienced in the fields of scheduling and workforce optimisation, time series forecasting and geospatial analysis.

London, United Kingdom

Supporting business funded projects within the data science team, focusing on the development of bespoke tools for the efficient optimisation of schedules for Royal Mail’s logistics and mail centre teams, providing efficiency savings of ~£9m per year.• Involved in data science project development, actively participating in sprints, working with both the project team and alone in order to create solutions that meet the business’ requirements.• Scrum master for our demand forecasting project, responsible for managing the sprint lifecycle, working with the product owner to ensure work is prioritised and encouraging the team to work in an agile manner• Source, extract and transform data using SQL and Python in order to provide insights to business stakeholders• Analyse and interpret data in order to provide senior team members and business stakeholders with insight on how parts of the business are functioning• Responsible for deploying and monitoring simple projects to our cloud servers

London, United Kingdom

• Assisted with the relationship management of a portfolio of approximately 100 Hotel & Leisure clients across central London• First point of contact for customers’ day-to-day banking requirements• Responsible for booking appointments and preparing comprehensive agendas and briefs in preparation for customer meetings• Planned the contact strategy for the portfolio to ensure that customers were contacted on a regular basis.• Worked with different departments in the bank coordinating the setup of new deals and providing products and services to meet our clients’ needs• Responsible for assisting RMs in completing KYC and KYB for new and existing clients• Maintained a good working knowledge of the bank's products and services to ensure that I provided relevant advice to customers

London, United Kingdom

• Managed a portfolio of Restructuring clients ranging from SMEs through to Large Corporates with debt levels of over £20m and turnover higher than £50m• Responsible for uploading annual reviews to the bank’s credit review system, reviewing the daily excess reports and contacting customers for financial information to ensure the core data systems were accurate and up to date• First point of contact for customer’s day-to-day banking requirements and built strong relationships with many clients in the portfolio. Used knowledge of the bank’s services and processes to quickly provide solutions to customer queries• Completed annual service charge reviews ensuring the bank’s revenue stream was protected whilst maintaining a fair and consistent charging structure for customers• Liaised with internal teams to ensure customer requests are dealt with promptly and efficiently• Developed an excellent knowledge of the bank’s Corporate and Commercial lending products, including LIBOR lending, invoice finance and group netting facilities• Used the knowledge of bank’s products and services to assist RMs with setting up and structuring new deals• Worked with different departments in the bank coordinating the setup of new deals and providing products and services to meet our client’s needs• Responsible for assisting RMs in completing KYC and KYB for new and existing clients

London, United Kingdom

• Responsible for reviewing customer files, validating key data attributes and ensuring the information stored on the core credit systems was accurate and up to date• Gaps and inaccuracies in the customer data were then fed back to the Relationship Managers• Managed the team’s workflow tool, in addition to the core role, ensuring tasks were shared amongst the team and providing high quality MI for management• Successfully delivered training for new joiners on the team• Ran workshops in regional offices to advise Relationship Managers about best practice in Loss Data collection

London, United Kingdom

• Responsible for conducting customer service questionnaires via telephone on behalf of car manufacturers.• Took on additional duties compiling MI for supervisors.

Master Of Science - Ms, Data Science And Machine Learning, Distinction

Modules taken: - Big Data Processing - Data Mining - Applied Statistics - Machine Learning - Bayesian Decision and Risk Analysis - Machine.

Master'S Degree, Physics, 2:1