Data Scientist

Credit Suisse
Y
Your responsibilities include:
• You would lead business/data analyst and responsible for gathering requirements for all projects & programs.
• You will be responsible to translate business requirements to AI/ ML based solution. You will be responsible for requirements management and user stories adapted to use AI/NLP.
• You will work as a SME on AI/NLP/ML, helping team solve core requirements for NLP such as information extraction from unstructured documents, build document metadata, document classification problem
• You will be working on projects requiring data integration and science skills, connecting bank-wide datasets
• You will be working with teams from different business function and divisions to solve complex machine learning problem
• You will be responsible to ensure that AI/ ML solutions meets bank-wide ML modelling guidelines and standards
Your future colleagues
We have an established capability in Automation Centre to provide e2e services across the automation lifecycle covering a wide range of technologies. We work with different Business Divisions and Corporate Functions to identify and deliver on the innovation opportunities. The services focus on deploying the optimal / intelligent automation solution at scale and ensuring Return on Investment.
Be part of our lean team with focus on core values of successful entrepreneurship including customer happiness, delivery excellence, and accountability of deliveries, technical excellence, and cutting-edge technology adoption.
The department values Diversity and Inclusion (D&I) and is committed to realizing the firm’s D&I ambition which is an integral part of our global cultural values.
To excel in this role, you should possess the following skills and project experiences.
- You should have relevant 10+ years of experience in data, AI/ML modelling related capabilities
- You need to have an outstanding understanding of NLP techniques with use of Spacy, Prodigy, BERT, TFIDF, Jaccard, Cosine, BoW and other open source industry leading algorithms to extract content
- Outstanding understanding of AI & NLP Working with Rules engine & learning algorithms to filter out the noise in the system.
- You should be an outstanding Python practitioner, with integrated data science, engineering and development background
- You need to have partner management experience to efficiently gather the requirements and handle the delivery of NLP outcomes
- It will be good, if you have understanding of investment banking domain, and financial services products/ customer data
- You need to have an outstanding understanding of agile development practices
- Understanding of parallel capabilities on the cloud (AWS, GCP, Azure) is highly desirable
- You need to have outstanding academic background with degree and/or masters in Computer Science, Engineering, Mathematics or Statistics
- You need to have good written and verbal communication skills
- Dedication to fostering an inclusive culture and value diverse perspectives
To apply for this job please visit tas-creditsuisse.taleo.net.

