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Senior Data Science Consultant

AT Wells Fargo
Wells Fargo

Senior Data Science Consultant

Bangalore, India

About this role:

Wells Fargo is seeking a...

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:

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  • 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
Required Qualifications for Europe, Middle East & Africa only:
  • Experience in data science, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Desired Qualifications:
  • 4-8 years of experience in Data Analytics, Insight Generation and/or Data Science
  • 2-3 years of experience working in Large Banks/ Financial Services to translate business problems into actionable insights, with demonstratable experience of delivering strategic insights and recommendations.
  • Languages: SQL, Python, SAS/R, PySpark
  • BI Tools: Tableau/ Power BI/ Excel
  • Good knowledge of building strategic analysis using customer profiling, business segmentation, heuristics, inferential statistics, RFM analysis
  • Experience of working with Machine learning techniques - Segmentation, Regression, Decision Trees, Forecasting, Clustering
  • Financial services experience
  • Organized and proactive, should be able to manage tasks in a dynamic environment and deal with multiple priorities.
  • 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
Job Expectations:
    Posting End Date:
    28 Nov 2024
    *Job posting may come down early due to volume of applicants.

    We Value Diversity

    At Wells Fargo, we believe in diversity, equity and inclusion in the workplace; accordingly, we welcome applications for employment from all qualified candidates, regardless of race, color, gender, national origin, religion, age, sexual orientation, gender identity, gender expression, genetic information, individuals with disabilities, pregnancy, marital status, status as a protected veteran or any other status protected by applicable law.

    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 US: 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.

    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.

    Client-provided location(s): Bengaluru, Karnataka, India
    Job ID: WellsFargo-R-415621
    Employment Type: Full Time

    Perks and Benefits

    • Health and Wellness

      • Health Insurance
      • Health Reimbursement Account
      • Dental Insurance
      • Vision Insurance
      • Life Insurance
      • FSA
      • HSA
      • Mental Health Benefits
      • Short-Term Disability
      • Long-Term Disability
    • Parental Benefits

      • Adoption Assistance Program
      • Family Support Resources
      • Birth Parent or Maternity Leave
      • Non-Birth Parent or Paternity Leave
      • Fertility Benefits
      • Return-to-Work Program
    • Work Flexibility

      • Hybrid Work Opportunities
    • Office Life and Perks

      • Commuter Benefits Program
    • Vacation and Time Off

      • Paid Vacation
      • Paid Holidays
      • Personal/Sick Days
      • Volunteer Time Off
    • Financial and Retirement

      • 401(K) With Company Matching
      • Performance Bonus
      • Stock Purchase Program
    • Professional Development

      • Tuition Reimbursement
      • Access to Online Courses
      • Internship Program
      • Associate or Rotational Training Program
      • Promote From Within
      • Mentor Program
    • Diversity and Inclusion

      • Employee Resource Groups (ERG)
      • Diversity, Equity, and Inclusion Program
      • Unconscious Bias Training

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