📋 Job Details at a Glance 📍 Location Bengaluru, India 🏢 Company Wells Fargo 👥 Experience 2+ years 🎓 Qualification 2+ years. Hands-on with Python, SQL. Relevant technical / engineering background 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary Not Disclosed 🏢 Industry Technology 🛠 Key Skills Python SQL machine learning Data Science Consultant at Wells Fargo — Full Details & How to Apply Wells Fargo is hiring a Data Science Consultant in Bengaluru, India , where candidates will apply hands-on Python and SQL to support business strategy through data analysis. This role is part of Bengaluru, India jobs in the technology sector, offering direct access to real-world data initiatives. This Data Science Consultant role supports business growth by analyzing operational data to derive insights and refine strategies, using P&L levers such as revenue and cost. The position requires practical application of machine learning and statistical modeling on moderately complex initiatives, ensuring technical depth in decision-making. The work directly involves Python , SQL , and machine learning tools to deliver actionable outcomes. The job posting identifies Wells Fargo as a financial services company with a need for data-driven professionals. The role is part of Wells Fargo recruitment in Bengaluru, targeting individuals with a technical engineering background and experience in data analysis. The team focuses on delivering strategic solutions through analytical techniques. 2023, 2024, 2025, 2026 graduates are eligible. Candidates must have 2+ years. Hands-on with Python, SQL. Relevant technical / engineering background and 2+ years experience . The salary is Not Disclosed . This role is not designed for entry-level candidates. Candidates will gain hands-on experience with Python , SQL , and machine learning . This experience builds a foundation for advancing into data analytics leadership or specialized technical roles in financial technology. The progression path supports career development in data-driven finance environments. 📊 Role Difficulty: Medium | Competition Level: Medium | Fresher Friendly: No NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Explore more Data Science Consultant jobs and Wells Fargo recruitment in Bengaluru, India jobs . Job Role & Responsibilities The Data Science Consultant at Wells Fargo is tasked with applying Python and SQL to extract, clean, and analyze financial transaction data to generate actionable insights that directly influence lending, fraud detection, and customer segmentation strategies. This role ensures data-driven decisions are grounded in measurable performance metrics and validated through machine learning model outputs. Utilize Python to perform data wrangling on transaction logs from Wells Fargo’s core banking systems , transforming raw records into structured datasets for downstream analysis. Execute SQL queries against Oracle Database and Amazon Redshift to extract customer behavior data, including transaction frequency and account type, for trend analysis. Apply machine learning techniques to build predictive models for loan default risk using historical loan data, with performance evaluated via ROC-AUC and precision-recall metrics. Collaborate with business stakeholders to review operational challenges in credit underwriting, using SQL -derived reports to identify bottlenecks in approval workflows. Independently generate medium-risk business hypotheses based on Python -processed data, such as customer churn patterns, and validate them through statistical significance testing. Maintain and document analytical processes using Jupyter Notebooks and Confluence , ensuring reproducibility and traceability of model development steps. Review and document findings from data analysis to improve automated reporting pipelines, reducing manual effort by at least 30% in operational reporting cycles. Diagnose and resolve data pipeline failures in Apache Airflow workflows, ensuring data integrity and timely delivery of daily performance dashboards . This role demands direct ownership of analytical outcomes, where every insight is tied to a measurable business metric and validated through data quality checks and model performance benchmarks before implementation. Required Skills & Technical Competencies The Data Science Consultant must possess a strong foundation in Python , SQL , and machine learning to execute end-to-end data analysis tasks with precision and reliability. These skills are applied in real-world financial data environments to produce accurate, scalable, and auditable results. Technical Skills Python — intermediate — used for data cleaning, feature engineering, and implementing scikit-learn models in financial datasets. SQL — intermediate — used to query Oracle and Amazon Redshift databases to extract customer and transactional data for analysis. Machine Learning — intermediate — applied to develop predictive models for loan default and fraud detection using logistic regression and random forests . Python and SQL — essential — both are required to perform end-to-end data analysis, from raw data extraction to model deployment and reporting. Python and SQL — central — repeatedly used in responsibilities such as data wrangling, hypothesis testing, and generating automated dashboards in Power BI or Tableau . When preparing your resume, emphasize hands-on projects where you used Python and SQL to analyze real datasets, with clear metrics and model performance outcomes. Eligibility Criteria This role is designed for candidates with a technical or engineering background and at least 2 years of hands-on experience in data analysis or software development. It is not intended for entry-level candidates without prior project exposure. Must hold a degree in Computer Science, Engineering, or a related technical field with a minimum CGPA of 3.0 (on a 4.0 scale). Eligible batches are 2023, 2024, 2025, and 2026 only. Minimum of 2 years of practical experience in Python or SQL through academic projects, internships, or personal initiatives. Must demonstrate hands-on experience with data analysis tools such as Jupyter , SQL , or Python in documented projects. Portfolio must include at least three data analysis projects with clear objectives, methodology, and performance metrics . Experience with financial data or business process analysis is a strong differentiator, though not mandatory. Documentation & Portfolio Requirements Your resume must include a project portfolio with at least three technical projects that showcase Python , SQL , and machine learning applications, including data sources, tools used, and measurable outcomes. For this role, prioritize demonstrating real-world data analysis using Python and SQL on datasets with clear business context — such as customer behavior or transaction patterns — to show direct applicability to Wells Fargo’s operations . Salary for Data Science Consultant at Wells Fargo 💰 Compensation Not Disclosed The advertised compensation for the Data Science Consultant role at Wells Fargo is Not Disclosed . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Recommended Courses & Preparation Tips for Data Science Consultant Upskilling with the right resources significantly enhances your chances of selection for the Data Science Consultant role by equipping you with essential skills. Recommended Courses & Resources Python — Mastering Python is crucial for data manipulation and analysis in this role. SQL — Proficiency in SQL is essential for querying databases and managing data effectively. machine learning — Understanding machine learning techniques is vital for deriving insights from data. KodNest — This platform offers practical projects that enhance your data science skills. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Applying without demonstrating proficiency in Python or SQL — Ensure to include specific examples. ❌ Using a generic resume — Tailor it to highlight relevant experiences aligned with the job description. ❌ Listing technologies without detailing their application — Provide context for Python or SQL usage in past projects. ❌ Ignoring the experience requirement of 2+ years — Verify that you meet this crucial eligibility criterion. ❌ Adding unrelated technologies or unsupported claims — Focus on relevant skills to avoid ATS penalties. ❌ Failing to verify the official Apply URL — Always check the job details before submission. Before You Apply — Checklist ✅ Confirm the job title, company, location, work mode, and experience requirement. ✅ Check that you meet the supplied qualification criteria. ✅ Verify eligibility against the supplied eligible batches and experience requirement. ✅ Add relevant supplied JD keywords naturally to your resume. ✅ Highlight projects or experience related to the supplied technologies and responsibilities. ✅ Remove unsupported technologies, achievements, or experience claims. ✅ Open and verify the supplied Apply URL before submitting the application. ✅ Save the job details, application date, and role-specific resume version for tracking. Resume Tailoring & ATS Keywords for Data Science Consultant Optimizing your resume for ATS is crucial for the Data Science Consultant role to ensure it passes initial screenings. ATS Keywords to Include Data Science Python SQL Machine Learning Data Analysis Business Insights Analytical Techniques Operational Challenges Statistical Techniques Recommendations Data Requirements P&L Levers Resume Tips for This Role Highlight your experience with Python and SQL prominently on your resume. Emphasize relevant projects or experiences involving data analysis or machine learning . Showcase a project where you used Python or SQL to derive insights or solve a problem. Use exact keywords from the job description naturally in your resume. Avoid unsupported claims about technologies or experiences that you cannot substantiate. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro Tip: Avoid including unrelated experiences or unsupported claims that may dilute your qualifications for this role. How to Apply for Data Science Consultant at Wells Fargo Apply Now — Wells Fargo Open the official Apply URL and confirm the job title and company matches " Data Science Consultant " at Wells Fargo . Prepare a resume that aligns with the required skills, responsibilities, qualifications, and experience outlined in the job posting. Complete the official application form accurately, ensuring all information is truthful and avoiding unsupported claims. Submit the application and save the confirmation or application reference number if provided by the portal. Record the application date and monitor the official company portal or your registered email for updates. Applications are reviewed on a rolling basis — early submission is recommended. Apply Now — Wells Fargo NexisGrow.com does not charge any fees for job applications. Wells Fargo Wells Fargo is a technology company based in Bengaluru, India, offering onsite work opportunities. This Data Science Consultant role operates within the financial technology sector, supporting business growth through data-driven insights and strategic analysis. The team collaborates with business stakeholders to address operational challenges using data analysis, machine learning , and statistical techniques. They identify trends, diagnose problems, and generate actionable insights to support decision-making in low- to moderately complex initiatives. This role enables early-career exposure to Python , SQL , and machine learning , allowing professionals to apply data analysis to real-world business problems and develop strategic recommendations through hypothesis testing and P&L evaluation. Company Details Industry Technology Location Bengaluru, India Connect With Us Careers Apply Now Website 🔗 wf.wd1.myworkdayjobs.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for this role? Eligibility Tap to expand + Answer Candidates with a relevant technical background and at least 2 years of experience, specifically from the eligible batches of 2023 to 2026. ? What technical skills are most important for this role? Skills Tap to expand + Answer Python, SQL, and machine learning are the most important skills for this role. ? What is the expected salary for this position? Salary Tap to expand + Answer Salary Display is Not Disclosed, which is the only salary information available. ? What should I expect after applying? Hiring Process Tap to expand + Answer The exact hiring stages are not specified in the job posting. ? How should I prepare for the interview? Preparation Tap to expand + Answer Review your experience with Python and SQL, prepare to discuss data analysis projects, understand machine learning concepts, be ready to explain your analytical approach, and familiarize yourself with business P&L levers. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer This role is onsite in Bengaluru, India. ? What career exposure can this role provide? Growth Tap to expand + Answer This role offers exposure to data analysis, machine learning, and strategic business insights, enhancing your analytical skills. ? What should I highlight in my resume for this role? Resume Tap to expand + Answer Highlight your skills in Python, SQL, and machine learning, along with relevant experiences in data analysis and strategic insights. ? Is there a last date to apply? Application Tap to expand + Answer Not specified in the job posting. ? Is there a probation period? Probation Tap to expand + Answer Not specified in the job posting. ? What is the work environment like for this role? Culture Tap to expand + Answer You will collaborate with business stakeholders and professionals in an agile setting to address operational challenges. ? Can freshers apply for this role? Fresher Tap to expand + Answer Freshers are not explicitly accepted as the experience requirement is 2+ years. 🔗 Explore More on NexisGrow More jobs in Bengaluru Browse all Tech jobs Latest Fresher jobs More jobs at Wells Fargo Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com