Do you enjoy consulting and leading digital transformation projects? Are you looking for a unique opportunity to drive UBS's accelerating digital transformation? Are you passionate about emerging technologies like Artificial Intelligence, Machine Learning, Advanced Analytics?

We are seeking a data scientist colleague to:
• Develop business opportunities for AI/data analytics use cases to support all UBS APAC business initiatives
• Design AI/data analytics solution architecture and work with Business and Technologies stakeholders to come up with implementation roadmap
• Develop Proof of Concepts using AI/data analytics technologies
• Support AI/data analytics solution implementation and deployment
• Develop, maintain and deploy ML Pipeline and models with high performance, quality, and stability
• Build awareness and assess opportunities for new technologies to maximize the value/impact of the function
• Build trust and strong working relationships with Business and Technology stakeholders
• Push forward the capabilities and performance of the team to strengthen and expand the service offering of the unit in alignment with business needs

Your team

You will be working in Emerging Solutions APAC team, which is a subgroup of the Group Internal Consulting unit based in Hong Kong. We are a dynamic and diverse team of consulting professionals with focus on emerging technology driven business transformation.

Your team helps UBS business functions to implement their digital strategy and accomplish their ambitions in the areas of emerging technologies. Emerging Solutions team is at the intersection of business, technology and innovative thinking in practice. We accompany functions across all businesses to build a sustainable transformation; combining the power of emerging technologies with a profound understanding of UBS businesses. The team works in in close collaboration with the different functions, business divisions and external parties to achieve its goals.

Your expertise
• 5+ years’ experience in designing and developing enterprise-scale machine learning solutions focusing on business growth, risk management or operation efficiency
• Strong technical experience in building ML solutions using common ML libraries and frameworks, i.e., Pandas, Sklearn, TensorFlow, SparkML, Pytorch, Keras, spaCy
• Strong knowledge and working experience with ML & algorithms and models (GLMs, SVM, PCA, NB, Clustering, DTs) and their underlying computational and probabilistic statistics.
• Excellent statistical skills in applied regression, spatial and time series modeling.
• 5+ years’ programming experience in one or more of the following: Python, R, Scala, C/C++, Matlab, PHP, Django, SQL/Postgres, Pytorch ASM, OpenCL, etc.
• Experience in setting up supervised & unsupervised learning ML models including data cleaning, data analytics, feature creation, model selection & ensemble methods, performance metrics & visualization
• 5+ years’ experience in ML development pipelines of large data sets, both structured & unstructured
• 5+ years’ full-time experience working at a global bank, tech or business consulting firm with a focus digital transformation and emerging technologies
• Exceptional academic track record with an advanced degree
• Excellent written and spoken Mandarin and English skills, other languages a plus
• A strong team player and communicator, able to adapt and network across a global organization to work well with the team and to present well to stakeholders

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