Data Scientist in London

Your role involves engaging in audits to analyse data using traditional machine learning or Large Language Models to uncover trends, patterns, or anomalies for auditors to investigate further. You will work collaboratively with stakeholders to assist in risk assessments and highlight high-risk areas for deep dives. It is essential to clearly communicate complex insights derived from analytics to senior stakeholders in a manner that is both engaging and impactful. Staying up to date with advancements in AI, ML, and NLP is crucial to implement cutting-edge solutions, such as working with the latest Large Language Models (LLMs). Additionally, you will provide auditors with training and support, as required, to effectively use data-driven tools and solutions.

Your team consists of the Group Internal Audit (GIA) team in London, which is an independent function that supports UBS in achieving its strategic, operational, financial, and compliance objectives. The team assesses key processes, governance, risk management, and the control environment within all Business Divisions and Group Functions globally. GIA reports directly to the Chairman of the Board and the Audit Committee. The GIA innovation team supports GIA’s mission and vision by empowering staff to embrace innovative automation and data analytics tools and techniques. In this role, you will maintain relationships with audit teams, supporting them with audit and risk assessment analytics through both ad-hoc and repeatable/automated solutions.

Your expertise should include a Bachelor’s or Master’s degree in a relevant field (e.g., Economics, Statistics, Data Science, Computer Science). Experience working as a data scientist building innovative solutions, preferably within the financial services industry, is required. A strong foundation in statistics including hypothesis testing, expertise in data wrangling using Pandas, Numpy, etc., and knowledge of Machine Learning algorithms (e.g., regression, classification, decision trees, SVMs, etc.) are essential. Experience in Natural Language Processing (NLP) techniques and working with Large Language Models (LLMs) like Chat GPT for text generation, classification, or topic discovery is also necessary. You should have experience in fine-tuning pre-trained models to improve their performance on specific tasks. Strong communication and interpersonal skills are important, along with the ability to grasp technical concepts and communicate them effectively to various audiences. The ability to work effectively as an individual contributor with minimal supervision, being self-motivated and a proactive team player, is crucial. You should take ownership and accountability of projects, possess strong organizational skills, and be able to effectively manage competing priorities. Experience delivering projects within an Agile methodology framework is preferred.

UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills, and experiences within our workforce.