At a Glance
- Tasks: Analyse data using machine learning to uncover trends and support auditors.
- Company: Join UBS, a leading financial services firm with a commitment to innovation.
- Benefits: Enjoy competitive salary, flexible working options, and professional development opportunities.
- Other info: Collaborative team environment with strong focus on innovation and career growth.
- Why this job: Make an impact by leveraging cutting-edge AI and ML technologies in audits.
- Qualifications: Degree in relevant field and experience in data science, especially in finance.
The predicted salary is between 60000 - 80000 £ per year.
Your role
- Engage in audits to analyze data using traditional machine learning or Large Language Models to uncover trends, patterns, or anomalies for auditors to investigate further.
- Work collaboratively with stakeholders to assist in risk assessments and highlight high‑risk areas for deep dives.
- Clearly communicate complex insights derived from analytics to senior stakeholders in a manner that is both engaging and impactful.
- Stay up to date with advancements in AI, ML, and NLP to implement cutting‑edge solutions, such as working with the latest Large Language Models (LLMs).
- Provide auditors with training and support, as required, to effectively use data‑driven tools and solutions.
Your team
You will be working in the Group Internal Audit (GIA) team in London. GIA is an independent function that supports UBS in achieving its strategic, operational, financial, and compliance objectives. We assess key processes, governance, risk management, and the control environment within all Business Divisions and Group Functions globally. We are independent in our work and report directly to the Chairman of the Board and the Audit Committee. Our 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
- 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.
- Strong foundation in statistics including hypothesis testing.
- Expertise in data wrangling using Pandas, Numpy, etc.
- Expertise in Machine Learning algorithms (e.g., regression, classification, decision trees, SVMs, etc.).
- Experience in Natural Language Processing (NLP) techniques and working with Large Language Models (LLMs) like Chat GPT for text generation, classification, or topic discovery.
- Experience in fine‑tuning pre‑trained models to improve their performance on specific tasks.
- Strong communication and interpersonal skills, with the ability to grasp technical concepts and communicate them effectively to various audiences.
- Ability to work effectively as an individual contributor with minimal supervision.
- Self‑motivated and proactive team player, who takes ownership and accountability of projects, has strong organizational skills, and the ability to effectively manage competing priorities.
- Experience delivering projects within an Agile methodology framework.
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.
Data Scientist employer: Subsense Inc.
UBS is an exceptional employer, offering a dynamic work environment in the heart of London where innovation and collaboration thrive. As part of the Group Internal Audit team, you will have access to cutting-edge technology and continuous learning opportunities, empowering you to grow your skills in data science and analytics while contributing to impactful projects that shape the future of financial services. With a strong commitment to diversity and inclusion, UBS fosters a culture that values unique perspectives and encourages professional development, making it an ideal place for those seeking meaningful and rewarding careers.
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We think this is how you could land Data Scientist
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We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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How to prepare for a job interview at Subsense Inc.
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Subsense Inc.!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.