Job Description

About the Opportunity Job Type: Permanent

Application Deadline: 28 February 2023

Title: Senior Specialist - Data Science

Department: Tech- Analytics

Location: Gurgaon

Were proud to have been helping our clients build better financial futures for over 50 years. How have we achieved this? By working together - and supporting each other - all over the world. So, join our Tech- Analytics team and feel like youre part of something bigger.

Department Description

Data Value team drives the renewed focus of extracting value from Fidelitys data for business and client insights and working as one voice with the business, technology, and data teams. The teams vision is to create measurable business impact by leveraging technology and utilising the skills to generate valuable insights and streamline engagements. The Data Science function within Data Value supports Fidelity Internationals Sales, Marketing, Propositions, Risk, Finance, Customer Service and HR teams across the globe. The key objectives of the function are:

• To develop deep customer insights for our businesses helping them segment and target customers more effectively
• To develop a fact-based understanding of sales trends and identify actionable sales growth opportunities for each of our sales channels
• To understand customer preferences in terms of products, service attributes and marketing activity to help refine each of these
• To help develop new services lines e.g. develop customer analytics for key IFAs, DC Clients, Individual clients etc.
• To develop market and competitive intelligence in our key markets to help shape our business planning in those markets

The function works directly with business heads and other senior stakeholders stakeholders to identify areas of analytics, define problem statements and develop key insights.

Purpose of the 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.

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 (Tier 1 Institutions)/ M.B.A from tier 1 institutions

Experience & Key Competencies

• Overall, 5 to 12 years of experience in Data Science roles
• Ability to engage in discussion with senior stakeholders on defining business problems, designing analyses projects, and articulating analytical insights
• Strong working experience in building models for classification, regression, clustering, forecasting, recommendation etc.; Working knowledge of advanced algorithms in Deep Learning will be an advantage
• Hands-on experience with popular development frameworks like Scikit-learn / TensorFlow / PyTorch.
• Working knowledge of NLP model development would be an added advantage; Exposure to Transfer Learning and pretrained model is desired
• Strong experience of developing AI & Machine Learning solutions on cloud platforms like AWS / Azure.
• Good understanding of SQL query development is desired; Familiarity with data platform like SnowFlake would be an added advantage.

Feel rewarded

For starters, well offer you a comprehensive benefits package. Well value your wellbeing and support your development. And well be as flexible as we can about where and when you work - finding a balance that works for all of us. Its all part of our commitment to making you feel motivated by the work you do and happy to be part of our team. For more about our work, our approach to dynamic working and how you could build your future here, visit careers.fidelityinternational.com.

For more about our work, our approach to dynamic working and how you could build your future here, visit careers.fidelityinternational.com.

Fidelity International