Data Scientist

Technical Specialist - Data Scientist

About the OpportunityJob Type: PermanentApplication Deadline: 30 September

Title Senior Analyst- Data Scientist

Department Data Value

Location Gurgaon

Reports To Suman Kaur

Level 3

We're 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 Data Value team and feel like you're part of something bigger.

About your team

Data Value team drives the renewed focus of extracting value from Fidelity's data for business and client insights and working as one voice with the business, technology, and data teams. The team's 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 International's 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 stakeholder's stakeholders to identify areas of analytics, define problem statements and develop key insights.

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 Fidelity's 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/Master's 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 Modelling /Machine 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.

Feel rewarded

For starters, we'll offer you a comprehensive benefits package. We'll value your wellbeing and support your development. And we'll be as flexible as we can about where and when you work – finding a balance that works for all of us. It's 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

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

Experience LevelSenior Level

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