Data Scientist Director - Emerging Solutions Switzerland
View: 143
Update day: 25-03-2024
Category: Administrative / Clerical / Assistant Finance / Bank / Stock Consulting / Customer Service Arts / Design
Industry: Finance
Job type: Temps plein, Temps de travail : 90-100%
Job content
Job Reference #
City
Job Type
Your role
We are seeking our future colleague to:
- Partner with senior management to build awareness and asses opportunities for AI/data analytics technologies and maximize value/impact of the function.
- Assess AI/data analytics use case requirements and provide implementation recommendations.
- Lead the design of 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 technology.
- Lead the AI/data analytics solution implementation and deployment
- Develop, maintain and deploy ML & NLP 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
- Develop machine learning solutions in Natural Language Processing (NLP), document classification, Named Entity Recognition (NER), topic modelling, document summarization, computational linguistics, advanced and semantic information search, extraction, induction, classification and exploration
- 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 Career Comeback
Your team
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
- At least 4 year experience in designing and developing enterprise-scale NLP solutions in two or more of: Named Entity Recognition, Document Classification, Document Summarization, Topic Modelling, Sentiment Analysis and OCR text processing
- At least 4 year experience building ML & NLP solutions using common ML libraries and frameworks, i.e., Pandas, Sklearn, TensorFlow, SparkML, Pytorch, Keras, spaCy
- Strong knowledge and working experience with NLP/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.
- At least 4 year 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/NLP models including data cleaning, data analytics, feature creation, model selection & ensemble methods, performance metrics & visualization
- At least 4 year experience in ML/NLP development pipelines of large data sets, both structured & unstructured
- At least 6 years of full-time experience working at a global 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 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
About us
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
Ready to be part of #teamUBS and make an impact?
Disclaimer / Policy Statements
Deadline: 09-05-2024
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