Technical Specialist - Data Scientist

About your role
You will be expected to take a leading role in developing the Data Science and Advanced Analytics solutions for our business. This will involve:

• Engaging with the key stakeholders to understand Fidelitys sales, marketing, client services and propositions context
• Implement advanced analytics solutions on On-Premises/Cloud platforms, develop proof-of-concepts and engage with internal and external ecosystem to progress the proof of concepts to production.
• Engaging and collaborating with different other internal teams like Data engineering, DevOps, technology team etc for development of new tools, capabilities, and solutions.
• Maximize Adoption of Cloud Based advanced analytics solutions: Build out sandbox analytics environments using Snowflake, AWS, Adobe, Salesforce.

About you

Key Responsibilities

Developing and Delivering Data Science solutions for business (40%)

• Partner with internal (FIL teams) & external ecosystem to design and deliver advanced analytics enabled Data Science solutions
• Create advanced analytics solution on quantitative and text data using Artificial Intelligence, Machine Learning and NLP techniques.
• Create compelling visualisations that enable the smooth consumption of predictions and insights for customer benefit

.Stakeholder Management (30%)

• Works with channel heads/stakeholders and other sponsors understand the business problem and translate it into appropriate analytics solution.
• Engages 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 solution
• Build out sandbox analytics environments using Snowflake, AWS, Adobe, Salesforce
• Deploy solutions in productions while adhering to best practices involving Model Explainability, MLOps, Feature Stores, Model Management, Responsible AI etc

Collaboration and Ownership (10%)

• Sharing of knowledge, best practices with the team including coaching or training in some of deep learning/machine learning methodologies. Provides mentoring, coaching, and consulting advice and guidance to staff, e.g. analytic methodologies, data recommendations
• Takes complete independent ownership of the projects and the initiatives in the team with the minimal support

Experience and Qualifications Required

Qualifications:

Engineer from IIT/Masters in field related to Data Science/Economics/Mathematics (Tie1 Institutions like ISI, Delhi School of Economics)/M.B.A from tier 1 institutions

Must have Skills & Experience Required:

• Overall, 8+ years of experience in Data Science and Analytics
• 5+ years of hands-on experience in - Statistical ModellingMachine Learning Techniques/Natural Language Processing/Deep Learning
• 5+ years of experience in Python/Machine Learning/Deep Learning
• Excellent problem-solving skills
• Should be able 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 discussion 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 is a plus.
• Ability to independently own and manage the projects with minimal support.
• Excellent analytical skills and a strong sense for structure and logic
• Ability to develop, test and validate hypotheses.