Data Scientist, Specialist

Reposted 4 Days Ago
Be an Early Applicant
Hyderabad, Telangana, IND
In-Office
Senior level
Fintech
The Role
Lead and execute diagnostic, predictive, and prescriptive analytics; build and validate scalable ML and data‑mining models; prepare data and complex queries; mentor junior data scientists; translate business needs into analytic approaches; deliver insights and recommendations; apply GenAI/LLM and big‑data techniques across functions.
Summary Generated by Built In

About Vanguard
Founded in 1975, Vanguard is one of the world's leading investment management companies. The firm offers investments, advice, and retirement services to tens of millions of individual investors around the globe—directly, through workplace plans, and through financial intermediaries.

 

Vanguard’s India Office

Vanguard’s office in India is a significant milestone in our global expansion. We are committed to establishing an enduring technology center in Hyderabad, Telangana and are excited to be adding talent who will focus on Artificial Intelligence (AI), mobile, and cloud-based technologies that drive our business outcomes and deliver a world-class experience for our clients.  

Role Summary

This role leads and executes deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making, while mentoring junior data scientists and analysts, and applying advanced data science and big data mining techniques to uncover trends, inform strategic initiatives, and drive innovation across diverse business functions.

Responsibilities
1. Develops complex queries and performs extensive programming to access, transform, and prepare data for statistical modeling.
2. Leads and executes deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making. Mentors and develops junior data scientists and analysts.
3. Identifies and diagnoses data inconsistencies and errors, documents data assumptions, and forages to fill data gaps.
4. Engages with internal stakeholders to understand and probe business processes in order to develop hypotheses. Brings structure to requests and translates requirements into an analytic approach.
5. Guides test design, research design, and model validation. Provides statistical consultation services. Serves as the analytics expert on cross functional teams for large strategic initiatives and contributes to the growth of the Vanguard analytic community.
6. Prepares and delivers insight presentations and action recommendations. Communicates complex analytical findings and implications to business leaders.
7. Participates in special projects and performs other duties as assigned.
8. Designs scalable data mining models and reporting protocols to identify trends and patterns in massive datasets.
9. Applies modern and emerging data science techniques to solve business problems across functions such as marketing, economics, and operations.
10. Contributes to the advancement of analytics through exploratory research and application of cutting-edge statistical theory.
Qualifications and Skills

  • Minimum 8 years of experience in data science, predictive analytics, or advanced statistical modeling roles
  • Bachelor’s degree (B.E./B.Tech) in Analytics, Applied Mathematics, Economics, Statistics, or Computer Science, or a Master’s degree/Diploma in a related quantitative field
  • hands-on, end to end development of traditional ML models
  • Python, SQL, PySpark
  • experience with development of GenAI/LLM based solutions
  • experience with AWS ecosystem (SageMaker, Athena, Glue, IAM)
  • Expertise in programming with Python, R, or SQL; hands-on experience with machine learning libraries (e.g., Scikit-learn, TensorFlow); strong understanding of data pipelines, data wrangling, and statistical techniques; experience in big data environments (Spark/Hadoop); familiarity with visualization tools like Tableau or Power BI

Location

This role is based in Hyderabad, Telangana at Vanguard’s India office. Only qualified external applicants will be considered.

Our mission

Vanguard adheres to a simple purpose: To take a stand for all investors, to treat them fairly, and to give them the best chance for investment success.

 

Our commitment to you 

Vanguard takes the same long-term view of your success—at work and in life—with Benefits and Rewards packages that reflect what you care about, throughout all the phases and stages of your life. Our Total Rewards programs provide you and your loved ones with wellness support for key areas in your life: 


Financial wellness 
We're committed to enabling your financial success and provide competitive offers and programs. 

Physical wellness 
We're committed to providing benefits that support your physical health and wellness. 

Personal wellness 
We're committed to providing resources that help support the full scope of your life. 

How we work

Vanguard has implemented a hybrid working model for most of our employees (crew members), designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

Skills Required

  • Minimum 8 years of experience in data science, predictive analytics, or advanced statistical modeling roles
  • Bachelor's degree in Analytics, Applied Mathematics, Economics, Statistics, Computer Science or related quantitative field (Master's/Diploma acceptable)
  • Hands-on, end-to-end development of traditional machine learning models
  • Python
  • SQL
  • PySpark
  • Experience with development of GenAI/LLM based solutions
  • Experience with AWS ecosystem (SageMaker, Athena, Glue, IAM)
  • Programming with R
  • Hands-on experience with machine learning libraries (Scikit-learn, TensorFlow)
  • Experience in big data environments (Spark, Hadoop)
  • Familiarity with visualization tools like Tableau or Power BI
  • Mentoring and developing junior data scientists and analysts

Vanguard Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Vanguard and has not been reviewed or approved by Vanguard.

  • Retirement Support Retirement support appears unusually strong through a 401(k) design that includes a match plus an additional employer contribution, which can materially lift long-term total rewards. HSA seeding and an enhanced employer match further strengthen the savings-and-benefits value of the package.
  • Wellbeing & Lifestyle Benefits Wellbeing and lifestyle support is reinforced by a sizable annual FlexFund stipend that can be applied across many day-to-day categories such as fitness, childcare, and other personal expenses. On-site or virtual clinics and fitness options add practical health and wellness convenience.
  • Affordable Benefits Healthcare and related benefits are positioned as comparatively affordable via heavily subsidized medical plans and broad coverage options. This affordability can offset moderate base pay for employees who place higher value on out-of-pocket cost reductions.

Vanguard Insights

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The Company
HQ: Malvern, PA
20,252 Employees
Year Founded: 1975

What We Do

We are a community of 30 million who think – and feel – differently about investing. Together, we’re changing the way the world invests. Since our founding in 1975, helping our investors achieve their goals is our sole reason for existence. With no other parties to answer to and therefore no conflicting loyalties, we make every decision—like keeping investing costs as low as possible—with only your needs in mind. Vanguard is one of the world's largest investment companies, offering a large selection of high-quality low-cost mutual funds, ETFs, advice, and related services. Individual and institutional investors, financial professionals, and plan sponsors can benefit from the size, stability, and experience Vanguard offers. As of April 30, 2019, we managed more than $5.6 trillion in global assets. In addition, we have 189 funds in the United States and 225 funds in global markets. For Commenting Guidelines & Important information, visit here: http://vanguard.com/linkedin Vanguard Marketing Corporation, Distributor.

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