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채용Wells Fargo

Senior Data Science Consultant

Wells Fargo

Senior Data Science Consultant

Wells Fargo

Bengaluru, India

·

On-site

·

Full-time

·

3d ago

About this role:

Wells Fargo is seeking a Senior Data Science Consultant.

In this role, you will:

  • Lead or participate in moderately complex initiatives and deliverables by utilizing data-driven, advanced analytical, statistical techniques, algorithms, or models to make actionable insights, trends, recommendations, or contribute to large-scale planning that has a broader impact
  • Review and analyze moderately complex, large structured and unstructured data sets from various sources, requiring an in-depth hypothesis generation and advanced analysis of variable factors to convert data into meaningful insights and recommendations
  • Independently analyze and resolve moderately complex issues and lead team to meet deliverables while leveraging solid understanding of analytic capabilities
  • Collaborate and consult with peers, colleagues, and mid-level managers to drive recommendations and strategies based on data-driven analytical insights, trends, and patterns that will resolve issues and achieve goals; may lead projects, teams, or serve as a mentor for lower-level staff
  • Execute analytical experiments and create innovative statistical models to discover solutions for abstract business problems across various domains
  • Interpret and analyze data, using advanced analytics modeling methods and programming, to recommend ways to solve problems and influence business decisions and strategies
  • Communicate actionable insights and recommendations using data in a digestible format to a non-technical audience of varying levels

Required Qualifications:

  • 4+ years of data science experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science

Desired Qualifications:

  • 4+ years of experience in Data Analytics, Insight Generation, Automation, Data Visualization and Data Science
  • 3 years of experience working in Large Banks/ Financial Services to translate business problems into actionable insights, with demonstrable experience of delivering strategic insights and recommendations.
  • Bachelor's degree or higher in a quantitative field such as applied math, statistics, engineering, finance, economics, econometrics, computer sciences, or business/social and behavioral sciences with a quantitative emphasis
  • Experience in data analysis, data extraction/manipulation.
  • Strong programming and data skills: Python, Py Spark, SQL; experience working with large datasets
  • Good to have knowledge on cloud based environment : GCP, Azure, AWS.
  • Proficiency in BI Tools : Power BI, Tableau.
  • Proficient with Statistics foundation and basic modeling concepts ( regression (linear/logistic) ).
  • Familiarity with Generative AI concepts (LLMs, embeddings, prompt-based systems) for awareness and future collaboration.
  • Highly effective communication skillset: ability to convey results, concepts, and issues/challenges with us and partners / peers and non-technical marketing/business audience through executive ready presentations.
  • Organized and proactive, should be able to manage tasks in a dynamic environment and deal with multiple priorities.

Job Expectations:

  • Strong conceptual and quantitative problem solving skills
  • Excellent written and oral communication skills, and interpersonal skills.
  • Tenacity and persistence to ensure compliance with tight deadlines

Posting End Date:

23 Apr 2026

Job posting may come down early due to volume of applicants.We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.

Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.

Drug and Alcohol Policy

Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.

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Wells Fargo 소개

Wells Fargo

Wells Fargo & Company is an American multinational financial services company. The company operates in 35 countries and serves more than 70 million customers worldwide.

10,001+

직원 수

San Francisco

본사 위치

$163B

기업 가치

리뷰

3.7

10개 리뷰

워라밸

3.8

보상

3.2

문화

3.9

커리어

2.8

경영진

3.1

65%

친구에게 추천

장점

Good benefits and health coverage

Flexible hours and remote work options

Good work-life balance

단점

Limited career advancement opportunities

High stress and fast-paced environment

Poor management and lack of direction

연봉 정보

15개 데이터

Junior/L3

L3

L4

L5

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Junior/L3 · Data Scientist L1

0개 리포트

$128,533

총 연봉

기본급

-

주식

-

보너스

-

$109,253

$147,813

면접 경험

3개 면접

난이도

3.0

/ 5

소요 기간

21-35주

합격률

33%

면접 과정

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Interview

5

Behavioral Interview

6

Offer

자주 나오는 질문

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

Past Experience