Data Science Consultant Jobs
Data Science Consultant jobs are open across financial services, healthcare, technology, and management consulting, from analyst-level to principal and partner, with specializations in predictive modeling, machine learning deployment, and enterprise analytics strategy. Find a role that fits below and apply directly.
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About this role:
Wells Fargo is seeking a Senior Data Science Consultant responsible for leveraging advanced data analytics to solve complex business challenges and influence enterprise-wide strategies.
In this role, you will:
- Develop and deliver advanced customer and banker placement analytics, including segmentation, portfolio optimization, performance analysis, and opportunity sizing.
- Analyze large, complex datasets to identify trends, risks, and opportunities related to customer coverage, banker capacity, and client outcomes.
- Design repeatable analytical frameworks to support strategic initiatives, governance reviews, and leadership reporting.
- Ensure analytical outputs are accurate, auditable, and aligned with enterprise data and governance standards.
- Execute highly complex analytical experiments and create innovative statistical models to discover solutions for abstract business problems across various domains
- Partner with sales leadership teams to inform placement strategy and customer alignment decisions.
- Support enterprise initiatives related to customer assignment, servicing models, and coverage optimization.
- Translate analytical findings into clear business recommendations, highlighting tradeoffs and implications.
- Build executive ready presentations (PowerPoint and verbal) for senior leaders, including SVPs and executive committees.
- Clearly communicate complex analytical concepts to non-technical audiences using data storytelling and visualizations.
- Respond to ad hoc leadership requests with concise, high‑impact analyses and recommendations.
- Collaborate with cross functional partners (Analytics, Banking, Risk, Operations, Technology).
- Support governance processes by ensuring analytical outputs meet internal standards and documentation requirements.
- Act as a trusted analytics advisor to stakeholders across the organization.
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:
- Master’s degree (MBA, MS, or equivalent) in Analytics, Data Science, Business, or related discipline.
- Experience in banking, financial services, customer analytics, or coverage/placement models.
- Proficiency in SQL, Python, R, or similar analytical tools.
- Experience developing dashboards or standardized reporting for leadership.
- Familiarity with governance, risk, or compliance considerations in analytics.
Job Expectations:
- Position offers a hybrid work schedule
- This position is not eligible for Visa sponsorship
- Relocation assistance is not available for this position
Pay Range
Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities. $119,000.00 - $187,000.00
Benefits
Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.
- Health benefits
- 401(k) Plan
- Paid time off
- Disability benefits
- Life insurance, critical illness insurance, and accident insurance
- Parental leave
- Critical caregiving leave
- Discounts and savings
- Commuter benefits
- Tuition reimbursement
- Scholarships for dependent children
- Adoption reimbursement
Posting End Date:
10 Nov 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.
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.
c. Please be prepared to provide accurate information and supporting documentation in connection with any lawful employment and education verification conducted by Wells Fargo.
About this role:
Wells Fargo is seeking a Senior Data Science Consultant responsible for leveraging advanced data analytics to solve complex business challenges and influence enterprise-wide strategies.
In this role, you will:
- Develop and deliver advanced customer and banker placement analytics, including segmentation, portfolio optimization, performance analysis, and opportunity sizing.
- Analyze large, complex datasets to identify trends, risks, and opportunities related to customer coverage, banker capacity, and client outcomes.
- Design repeatable analytical frameworks to support strategic initiatives, governance reviews, and leadership reporting.
- Ensure analytical outputs are accurate, auditable, and aligned with enterprise data and governance standards.
- Execute highly complex analytical experiments and create innovative statistical models to discover solutions for abstract business problems across various domains
- Partner with sales leadership teams to inform placement strategy and customer alignment decisions.
- Support enterprise initiatives related to customer assignment, servicing models, and coverage optimization.
- Translate analytical findings into clear business recommendations, highlighting tradeoffs and implications.
- Build executive ready presentations (PowerPoint and verbal) for senior leaders, including SVPs and executive committees.
- Clearly communicate complex analytical concepts to non-technical audiences using data storytelling and visualizations.
- Respond to ad hoc leadership requests with concise, high‑impact analyses and recommendations.
- Collaborate with cross functional partners (Analytics, Banking, Risk, Operations, Technology).
- Support governance processes by ensuring analytical outputs meet internal standards and documentation requirements.
- Act as a trusted analytics advisor to stakeholders across the organization.
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:
- Master’s degree (MBA, MS, or equivalent) in Analytics, Data Science, Business, or related discipline.
- Experience in banking, financial services, customer analytics, or coverage/placement models.
- Proficiency in SQL, Python, R, or similar analytical tools.
- Experience developing dashboards or standardized reporting for leadership.
- Familiarity with governance, risk, or compliance considerations in analytics.
Job Expectations:
- Position offers a hybrid work schedule
- This position is not eligible for Visa sponsorship
- Relocation assistance is not available for this position
Pay Range
Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities. $119,000.00 - $187,000.00
Benefits
Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.
- Health benefits
- 401(k) Plan
- Paid time off
- Disability benefits
- Life insurance, critical illness insurance, and accident insurance
- Parental leave
- Critical caregiving leave
- Discounts and savings
- Commuter benefits
- Tuition reimbursement
- Scholarships for dependent children
- Adoption reimbursement
Posting End Date:
10 Nov 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.
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.
c. Please be prepared to provide accurate information and supporting documentation in connection with any lawful employment and education verification conducted by Wells Fargo.
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Find Data Science Consultant JobsData Science Consultant Job Market
Who's Hiring
Top Industries Hiring
- Distribution & Wholesale
- Technology & Software
- Consulting & Professional Services
What Employers Look For
The qualifications that appear most often in data science consultant jobs.
- Bachelor's or master's degree in statistics, computer science, mathematics, or a related quantitative field
- Proficiency in Python or R for data analysis, modeling, and pipeline development
- Experience with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch
- Ability to communicate analytical findings clearly to non-technical business stakeholders
- Hands-on experience with SQL and cloud data platforms such as AWS, Azure, or Google Cloud
- Familiarity with data visualization tools such as Tableau, Power BI, or comparable platforms
Tips for Your Data Science Consultant Job Search
Tailor your resume to engagement types
Data science consultant roles split between project-based engagements and embedded advisory work. Reframe your resume bullets around business outcomes you delivered for clients or internal stakeholders, not just models you built or tools you used.
Highlight cross-functional communication skills
Hiring managers for consultant roles weight your ability to translate findings for non-technical audiences as heavily as technical depth. Add a line or two to your resume showing you presented to executives, product teams, or clients, not just data peers.
Apply early to roles that fit
Migrate Mate lists data science consultant openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare a client-facing case study
Many interviews ask you to walk through a past engagement end-to-end. Have one ready that covers the business problem, your analytical approach, the tool stack, and the measurable outcome, without disclosing confidential client details.
Research the firm's delivery model before applying
Boutique analytics consultancies, big-four firms, and in-house strategy teams all hire data science consultants but expect different things. Check whether the role is billable, internal, or hybrid before writing your cover letter so your framing matches their model.
Negotiate scope alongside compensation
Consultant offers often include variable pay tied to utilization or billable hours. When negotiating, ask how utilization targets are set and whether the role counts internal projects, so you understand the full picture before accepting.
Data Science Consultant Jobs: Frequently Asked Questions
Which companies are hiring the most data science consultants?
The most active employers for data science consultants right now are Amazon Web Services, ECS Limited, and SIA, and the most openings are in New York, Georgia, and Virginia, based on current listings on Migrate Mate as of November 2026. Demand is concentrated in management consulting, financial services, and technology-sector clients.
How many data science consultant jobs are remote?
About 80% of data science consultant openings are fully remote or hybrid as of November 2026, reflecting strong demand for flexible delivery models across the industry. Sub-specializations in machine learning engineering and analytics strategy tend to offer the highest share of remote arrangements, while roles requiring on-site client workshops are more likely to be in-person or hybrid.
How do you become a data science consultant?
Start by building a foundation in statistics, programming, and data modeling through a relevant degree or applied project work. Develop client-facing skills by contributing to cross-functional projects where you present findings to non-technical stakeholders. Building a portfolio of end-to-end case studies that show business impact, then targeting analyst or associate consultant roles at advisory firms or in-house strategy teams, is the most direct path in.
Can you get hired as a data science consultant with little experience?
Yes, some firms hire into junior or associate-level data science consultant roles directly from graduate programs or early-career industry positions. Your strongest asset at that stage is a portfolio of applied projects that show you can frame a business problem, choose an appropriate method, and communicate the result clearly. Boutique analytics consultancies and in-house analytics teams tend to offer more entry points than large generalist consulting firms.
What does the data science consultant interview process look like?
Most processes include an initial screening call, a technical assessment covering programming and statistical reasoning, and one or more case-style interviews where you walk through a past project or solve a hypothetical business problem. Later rounds often include a presentation to a panel of consultants or business stakeholders. Some firms add a written case study submitted in advance, particularly for senior or client-facing roles.
Where can I find and apply to data science consultant jobs?
You can find and apply to data science consultant jobs on Migrate Mate, which lists current openings from across the United States in one place. Find roles that match your background and apply directly to each listing without being redirected across multiple platforms.
See All 37 Data Science Consultant Jobs
Find roles that match your experience and apply in just a few clicks.
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