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    Job · 10260338

    Wells Fargo logo

    Senior Data Science Consultant

    Wells Fargo · Bengaluru · onsite · Posted 70d ago

    Undisclosed2–7 yrsfulltimeSourced fromNaukri

    About a minute. You'll make an account on the way through.

    About this role

    Job Summary
    Wells Fargo is seeking a Senior Data Science Consultant for Wells Fargo Business Analytics Team (Small Business Analytics Team). The role focuses on building and maintaining scalable analytical solutions, enabling data-driven decision-making, and primitive models. Reduce Risk and improve business outcomes. Creation of business strategy via data driven decisions.
    Responsibilities
    • 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, PySpark, 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 modeling concepts.
    • 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.

    Sourced from naukri

    Skills

    data extractionAutomationbi toolsamazon web servicesAnalyticsData AnalyticsBusiness AnalyticscloudCommunication SkillsAlgorithmsAdvanced Analyticsbusiness strategydata analysiscomplianceCustomer RelationshipsMicrosoft AzureData ScienceArtificial Intelligence

    About Wells Fargo

    Wells Fargo logo

    Wells Fargo

    Financial Services

    20k+

    employees

    1852

    174 years old

    Bengaluru/Bangalore, Karnataka

    India

    About

    Wells Fargo works to create positive social impact in the communities it serves by supporting housing affordability, small business growth, financial health, and a low-carbon economy.

    Industries

    Financial Services

    Employee ratings

    8,681 reviews

    3.6/ 5

    Culture

    3.5

    Career growth

    2.9

    Work-life

    3.8

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