Wolters Kluwer

Data Scientist

Job description

Requires working technical knowledge and expanded conceptual knowledge in the discipline of data science. Works under a moderate level of gu


Job Identification


Business Title: Data Scientist


Department: Decision Science – AI Capabilities


Location: Pune


Business Unit: GRC-CIOx


Date: 15 Dec 2021


Business Unit


Governance, Risk & Compliance (GRC) is a division of Wolters Kluwer that provides a broad spectrum of solutions, services and expertise to legal, finance, risk and compliance professionals and small business owners to help manage myriad governance, risk and compliance challenges in dynamic markets and regulatory environments, globally. GRC Solutions serves more than 350,000 customers in more than 150 countries, including 70% of Fortune 500 companies, 92% of the world’s top banks, 90% of the Am Law 100 and more than 300,000 small businesses. The division has a global footprint, with workforce in 28 countries. Our clients include corporate legal departments, insurers, small businesses, financial services companies, brand professionals, underwriters, governments and compliance and risk professionals.


Responsibility


  • Work on configuration, maintenance, and support of portfolio of AI models and related products.
  • Work on AI model releases.
  • Define, create, and track metrics for various models.
  • Take feedback from analysis, end users and domain experts to perform model calibration, bug fixes and enhancements.
  • Work on new client onboardings by developing configuration for model pipelines.
  • Work on model delivery to Production deployment team and coordinate model production deployments.
  • Effectively collaborate with cross-functional teams.
  • Dive deep into data, doing analysis, and discovering patterns/root causes. Generate insights that drive the product.
  • Manage deliverables and projects assigned to vendor partners in AI models and products space.


Essential Skills


  • Expert level knowledge of Python programming language, data engineering and data science ecosystem in Python. Production level Python script coding experience is must have.
  • Some experience in developing and supporting Machine Learning and Deep Learning solutions.
  • Good Expertise in developing Natural Language Processing (NLP) solutions
  • Hands on experience on SQL ecosystem
  • Hands on experience on Solr framework with Python
  • Experience of working on Linux and shell scripting
  • Sound Knowledge of statistical modelling
  • Experience working in AWS and Azure cloud stack.
  • Experience with Java ecosystem and some UI frameworks like Angular is good to have.
  • Strong Computer Science fundamentals are must. (Data structures, Algorithms, OS, Databases).
  • Good communication and organizational skills with significant attention to detail
  • Experience partnering with cross-functional teams of domain experts, engineers, data scientists, and production support teams.
  • Strong attention to detail with excellent problem-solving skills.
  • Desire and ability to thrive in a distributed technical environment while working on multiple projects simultaneously.
  • Passionate about latest technology trends with a strong desire for innovation.
  • Self-motivated, self-managing and able to work independently.


Education And Experience


  • Bachelor's degree (B.E/ B Tech. computer science, engineering, statistics/mathematics or a related field) from a four-year college or university, or equivalent, Masters a plus.
  • Total at least 3 years’ experience with at least 2 years’ experience working on enterprise AI products.
  • Experience in supporting software products or applications in the AI ML domain.


The above statements are intended to describe the general nature and level of work being performed by most people assigned to this job. They are not intended to be an exhaustive list of all duties and responsibilities and requirements.


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