(Senior) Data Science Consultant - Emerging Solutions (AI/ML)

Recruiter
UBS
Location
London, United Kingdom
Salary
Competitive
Posted
05 Aug 2022
Closes
12 Aug 2022
Ref
16239204
Job Function
Operations
Industry Sector
Finance - General
Employment Type
Full Time
Education
Bachelors
Your team
Group Internal Consulting (GIC) is UBS's internal consulting unit. We are a dynamic, driven and diverse team with over 750 people present in 5 regions across the globe. As part of the firm's Group Transformation Office (GTO), we work in close partnership with all divisions and functions to drive transformation and change across UBS, supporting the firm in achieving its strategic goals. Our focus is on delivering high quality services, with fast onboarding, leveraging institutional knowledge. We offer our consultants a diverse portfolio of projects, providing them with the chance to work across the firm. Our consultants are empowered to drive their career development, supported by a tailored training curriculum, a commitment to the new ways of working, a sustainable work life balance and exciting internal mobility options.

You will be working in the Emerging Solutions team in London where we help UBS business divisions and functions implement their digital strategy and accomplish their business ambitions by leveraging new and emerging technologies such as Artificial Intelligence (AI), Advanced Analytics, Cognitive Automation and Blockchain.

Your expertise
• Ideally 2+ years' experience in delivering data science projects preferably in a leading consultancy or an in-house consulting team within a large financial services organization
• Academic degree and/or professional qualification in data science or similar subject
• Hands-on experience in developing end-to-end ML / data science pipelines from sourcing data and feature engineering to model training, model evaluation, inference, and data visualization / integration
• Good understanding of the underlying theory and statistics of machine learning algorithms (e.g. Decision Trees vs Naïve Bayes vs Neural Networks) and learning techniques (e.g. supervised, semi-supervised, unsupervised, reinforcement learning)
• Proven experience in leading NLP projects using the latest industry standard approaches such as transformer models (e.g. BERT) in one or more areas of: Text Classification, Document Summarization, Question Answering, Semantic Information Extraction, Machine Translation, Topic Modelling, Tagging, Optical/Intelligent Character Recognition (OCR/ICR), Speech/Voice Recognition and Chatbots/Cognitive Assistants
• Experience in working with a wide variety of data formats e.g. unstructured/semi-structured/structured data, text, images, time-series, stationary vs. non-stationary data, as well as handling Big Data (e.g. with Spark / Hadoop)
• Strong Python skills with leading machine learning libraries (e.g. PyTorch, TensorFlow, spaCy, NumPy, SciPy, SciKit-Learn, Transformers, etc) + Preferable experience in one or more of the following technologies that we use: Azure Cognitive Services, Azure ML, Dataiku, Alteryx, Tableau, PowerBI, Qlik, Workfusion, re:infer, Teneo, SQL, Spark, R, and other similar technologies
• Understanding of best practices to deploy ML models to production including knowledge of relevant technology stacks (e.g. docker containers, Kubernetes clusters, micro web frameworks) and associated ML Ops processes
• Adept in working in technology-led projects within complex organizations including familiarity with Software Development Lifecycle (SDLC) and Agile principles
• Basic understanding in one or more core business areas of Financial Services e.g. Investment Banking (Trading/Banking), Wealth Management, Asset Management, Personal & Corporate Banking, Settlements & Clearing, Treasury (Liquidity/Capital/Funding), Financial Accounting, Custody, Payments Operations, Risk & Compliance, etc.
• Highly driven and motivated with a can-do attitude and eager to learn and to solve complex problems
• Strong written and verbal communicator and comfortable presenting to senior stakeholders, able to navigate and network across a global complex organization and work effectively in a team

About us
UBS is the world's largest and 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.

With more than 70,000 employees, we have a presence in all major financial centers in more than 50 countries. Do you want to be one of us?

Join us
From gaining new experiences in different roles to acquiring fresh knowledge and skills, at UBS 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.

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