About the OpportunityJob Type: Permanent
Application Deadline: 22 October 2024
Job Description
Title Specialist - Data Science
Department Data Value
Location Gurgaon
Level Manager
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.
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
Engineer/MBA/Master’s 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
- Demonstrated practical experience in building complex Machine Learning models for solving business challenges.
- Strong technical concepts in Machine Learning, Deep Learning, NLP, Time Series Forecasting, Recommendation etc
- Good experience of developing AI & Machine Learning solutions on cloud platforms like AWS
- Working knowledge of Gen AI, Familiarity with data platform like SnowFlake would be an added advantage.
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 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.
Top Skills
What We Do
Fidelity International offers investment solutions and services and retirement expertise to more than 2.5 million customers globally. As a privately held, purpose-driven company with a 50-year heritage, we think generationally and invest for the long term. Operating in more than 25 countries and with $739.9 billion* in total assets, our clients range from central banks, sovereign wealth funds, large corporates, financial institutions, insurers and wealth managers, to private individuals.
Our Workplace & Personal Financial Health business provides individuals, advisers and employers with access to world-class investment choices, third-party solutions, administration services and pension guidance. Together with our Investment Solutions & Services business, we invest $567 billion on behalf of our clients. By combining our asset management expertise with our solutions for workplace and personal investing, we work together to build better financial futures.
*Data as of 31 March 2021
