Technical Specialist - Data Scientist

Role Overview: You will be a Senior Analyst - Data Scientist in the Data Value team at Fidelity, where you will play a crucial role in developing Data Science and Advanced Analytics solutions for the business. Your responsibilities will include engaging with key stakeholders, implementing advanced analytics solutions, collaborating with internal teams, and maximizing the adoption of Cloud-based analytics solutions. Key Responsibilities: - Developing and Delivering Data Science solutions for business (40%) - Partner with internal and external ecosystem to design and deliver advanced analytics enabled Data Science solutions - Create advanced analytics solutions on quantitative and text data using Artificial Intelligence, Machine Learning, and NLP techniques - Create compelling visualizations to enable the smooth consumption of predictions and insights for customer benefit - Stakeholder Management (30%) - Work with channel heads/stakeholders and sponsors to understand business problems and translate them into appropriate analytics solutions - Engage with key stakeholders for smooth execution, delivery, and implementation of solutions - Adoption of Cloud-enabled Data Science solutions (20%) - Maximize adoption of Cloud-based advanced analytics solutions - Build sandbox analytics environments using Snowflake, AWS, Adobe, Salesforce - Deploy solutions in production while adhering to best practices involving Model Explainability, MLOps, Feature Stores, Model Management, Responsible AI, etc. - Collaboration and Ownership (10%) - Share knowledge and best practices with the team, including coaching or training in deep learning/machine learning methodologies - Provide mentoring, coaching, and consulting advice and guidance to staff - Take complete independent ownership of projects and initiatives in the team with minimal support Qualifications Required: - Engineer from IIT/Masters in a field related to Data Science/Economics/Mathematics (Tier 1 Institutions like ISI, Delhi School of Economics)/M.B.A from Tier 1 institutions Experience Required: - Overall, 8+ years of experience in Data Science and Analytics - 5+ years of hands-on experience in Statistical Modelling/Machine Learning Techniques/Natural Language Processing/Deep Learning - 5+ years of experience in Python/Machine Learning/Deep Learning - Excellent problem-solving skills - Ability to run analytics applications such as Python, SAS, and interpret statistical results - Implementation of models with clear measurable outcomes Good to have Skills & Experience Required: - Ability to engage in discussions with senior stakeholders on defining business problems, designing analyses projects, and articulating analytical insights to stakeholders - Experience on SPARK/Hadoop/Big Data Platforms is a plus - Experience with unstructured data and big data - Experience with secondary data and knowledge of primary market research - Ability to independently own and manage projects with minimal support - Excellent analytical skills and a strong sense of structure and logic - Ability to develop, test, and validate hypotheses Join the Data Value team at Fidelity and be part of a company that values your wellbeing, supports your development, and offers a flexible work environment. Visit careers.fidelityinternational.com to learn more about our work and how you can build your future with us.,