Kroll Data ScientistKroll s Technology organization is transforming. The Enterprise Data Team is leveraging data science, insights, and modeling to build solutions to support our commercial clients. The team is leveraging AI, Machine Learning and NLP to solve complex business problems. Some of our current projects focus on financial services, cyber security and due diligence, and quantitative analysis.RESPONSIBILITIES: Direct and mentor data scientists and data analysts in formulating and implementing our strategy Partner with Data Engineers and Machine Learning Engineers to build and deploy predictive and analytical solutions Engage with business stakeholders to understand business goals and outcomes. Comfortable translating business objectives into data driven solutionsREQUIREMENTS: Bachelor s degree (Masters or PhD preferred) in relevant disciplines (Mathematics, Computer Science, Statistics or other quantitative related discipline) or relevant experience 3+ years of experience in data mining, machine learning and statistical modelling Deep skills in creating models to develop scalable solutions Experience in deploying models and putting models into production Good understanding of end-to-end data science projects - data intuition validation, model design, implementation, validation and testing, and deployment Proven track record of building and demonstrating business value from predictive models and data products Ability to write clean, understandable, well-documented code, following best practices Experience with Machine Leaning algorithms supervised & unsupervised Experience dealing with both structured & unstructured datasets and drawing the insights from the data Technical and business communication skills in a matrixed organization Team and technical leadership Docker experience is preferred Strong Python Experience NLP Experience Cloud experience, especially Azure Ability to manage confidential, sensitive information (1.) To bridge the gap between client needs and business goals by gathering requirements, crafting innovative solutions with deep domainortechnology expertise, and driving successful implementations that propel strategic initiatives. (2.) To spearhead the architecture, design, and development (through a high-performing team) of innovative solutions for productorproject and sustenance delivery, ensuring alignment with strategic objectives. (3.) To ensure knowledge up-gradation and work with new technologies so that the solution is current and meets quality standards and the client requirements (4.) To review architecture and design deliverables and ensure solutions adhere to industry best practices ,architectural standards simultaneously establish and enforce governance orcompliance measures. (5.) To train and develop team so as to ensure that there is an adequate supply of trained manpower in the said technology and delivery risks are mitigated