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2 Days ago

Data Scientist

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Bangalore, Karnataka, India
Information Technology
Full-Time
UBS

Overview

Job Reference #
321337BR

Job Type
Full Time

Your role
Are you excited to work with a global team with diverse backgrounds and talents? Can you apply your technical skills to help quantify business risks? Do you enjoy the challenge of driving business impact through analytics and are looking for an opportunity to lead innovation?

We’re looking for a Data Scientist to:

  • Engage in audits to analyze data using traditional machine learning or AI models to uncover trends, patterns or anomalies that auditors can 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.
  • Staying up to date with advancements in AI, ML and NLP to implement cutting edge solutions such as working with latest Large Language Models (LLMs).
  • Providing auditors training and support if required to effectively use data driven tools and solutions.

Your team
You will be working in Group Internal Audit (GIA) Team in India. GIA is an independent function that supports UBS in achieving its strategic, operational, financial and compliance objectives. We do this by assessing 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.

We are a talent powerhouse that attracts and develops the best people by driving career growth in and outside the department. Our GIA innovation team supports GIA’s mission and vision by empowering all staff to embrace innovative automation and data analytics tools and techniques. In your role, you will own and support the development of analytics tools which deliver important capabilities to our audit function.

Your expertise

  • Bachelor's or Master's degree in a relevant field (e.g. Statistics, Data Science, Computer Science)
  • 3+ years’ experience working as a data scientist building innovative solutions, preferably within the financial services industry.
  • Strong foundation in statistics including hypothesis testing .
  • Proficient in using Python, SQL, Alteryx, and Power BI to build and manage data analytics.
  • 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 BERT, GPT for text generation, classification or topic discovery.
  • Fine tuning pre-trained models to improve their performance on specific tasks.
  • Good communication and interpersonal skills. Ability to grasp technical concepts and communicate such concepts to various audiences.
  • Able 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 as well as ability to effectively manage competing priorities.
  • Preferably experience delivering projects within an Agile methodology framework.

About Us
UBS is the world’s largest and the only truly global wealth manager. We operate through four business divisions: Global Wealth Management, Personal & Corporate Banking, Asset Management and the Investment Bank. Our global reach and the breadth of our expertise set us apart from our competitors..

We have a presence in all major financial centers in more than 50 countries.

Join us
At UBS, we embrace flexible ways of working when the role permits. We offer different working arrangements like part-time, job-sharing and hybrid (office and home) working. Our purpose-led culture and global infrastructure help us connect, collaborate, and work together in agile ways to meet all our business needs.

From gaining new experiences in different roles to acquiring fresh knowledge and skills, we know that great work is never done alone. We know that it's our people, with their unique backgrounds, skills, experience levels and interests, who drive our ongoing success. Together we’re more than ourselves. Ready to be part of #teamUBS and make an impact?

Disclaimer / Policy Statements
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.

Your Career Comeback
We are open to applications from career returners. Find out more about our program on ubs.com/careercomeback.
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