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Full-time
postgraduate degree
Posted 2d ago
Apply by Aug 14
~40 hrs/week
Responsibilities
The Senior Data Science Consultant will lead complex analytical initiatives by utilizing advanced statistical techniques and models to generate actionable business insights. They will collaborate with cross-functional teams to solve abstract business problems and communicate findings to non-technical stakeholders.
Requirements
Candidates must have at least 4 years of data science experience and a Master's degree or higher in a quantitative discipline. Proficiency in SQL, Python, and machine learning techniques is required, along with strong communication and interpersonal skills.
Full job description
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:
Languages: SQL, Python, SAS, PySpark
Hands on experience on GCP(Google Cloud platform)
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
Highly organized and proactive. Should be able to manage multiple tasks in a dynamic environment and deal with multiple priorities.
Excellent written and oral communication skills, and interpersonal skills.
Posting End Date:
13 Aug 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.
Offices: 420 Montgomery St, San Francisco, California 94103, US · 420 Montgomery St, San Francisco, CA 94163, US · Outer Ring Road, Bengaluru, Karnataka 560103, IN · 1 Queen's Rd E, Wan Chai, Hong Kong, HK
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