Data Scientist, AVP
Credit Suisse
Pune, Pune, India
2d ago

Your field of responsibility

As part of the role your responsibilities include :

  • Work closely with Business Users, Product Owners, Business Engineers, and technology team to understand data analysis requirements.
  • Lead Data Analysis and responsible for all Data related capabilities

  • Responsible to translate business requirements to AI / ML based solution
  • Experience in building end to end model using data cleaning, data analytics, features engineering, model selection, ensemble methods, performance metrics, visualization
  • Experience of working on the latest Natural Language Processing Techniques (Transformers)
  • Proven track record in designing, developing and deploying Machine Learning models that built business impact
  • Working with teams from different business function and divisions to solve complex machine learning problem
  • Experience of working closely with IT teams and participating in delivery.
  • Experience of building CI / CD for Continuous Machine Learning,
  • Responsible to ensure that AI / ML solutions meets bank-wide ML modelling guidelines and standards
  • Your future colleagues

    A number of new and exciting projects have been initiated within Global Wealth Management Division - APAC region, enabling you to directly contribute to the success of the business.

    You will analyze, design, develop, test, deploy and support high quality systems. You will get an opportunity to work together with all partners, understanding the challenges they face and using your technical expertise to deliver the systems we need.

    Understanding the different technology domains within the Bank and how the data across domains is interrelated will be one of the key aspects of this role.

    You should also be able to adapt to changes in priorities and requirements

    The Global WM APAC IT organization is responsible for the engineering and support of technology solutions, implementation of change programs, and the associated change, design and data governance for the APAC Division.

    Global WM IT provides digital capabilities and technology solutions for the APAC Private Banking business, delivering front to back aligned, high quality IT solutions and services to support the growth and profitability of the Bank, ensure regulatory compliance, drive efficiency and further reduce complexity and cost.

    Our Digital Private Bank was launched in Asia in 2015 and has won numerous accolades. We have been awarded the "Best Private Bank Digital Experience" for the second consecutive year by Asian Private Banker applauding us for being "a true fintech pioneer in the private banking space" and for our attention to client experience and the platform's advanced functionalities.

    Remote Working?N / A - pending TWWW agreement

    Your skills and experience

    To excel in this role, you should possess :

    Excellent academic background with advanced degree in Computer Science, Engineering, Mathematics, Statistics or related Field

    Relevant experience in data, AI / ML modelling related capabilities

    Proficient in programming skills in Python with integrated data science, engineering and development background. Knowledge of CI / CD, CD4ML, Continuous Model Training and building end to end pipelines

    Experience of working with ML frameworks like TensorFlow, Pytorch, Keras, ScikitLearn, XGBoost, SparkML or similar

    Experience of working with latest NLP techniques such as Transformers, BERT etc.

    Solid grasp of NLP techniques such as NLT, NLU, Word Embeddings and methods like entity resolutions, topic modelling, text comprehension, voice to text, sentiment analysis

    Knowledge of general NN models like SVM, random forest, decision tree, neural networks, GLM

    Partner management experience is required to effectively gather the requirements and handle the delivery of data science outcomes

    Having understanding of investment banking domain, and financial services products / customer data will be an advantage

    Proficient in agile development practices

    Understanding of parallel capabilities on the cloud (Azure, AWS) is helpful

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