Data Science Manager Jobs at Deloitte with Visa Sponsorship
Data Science Manager roles at Deloitte sit at the intersection of advanced analytics and strategic consulting, leading teams that deliver data-driven insights for clients across industries. Deloitte has a well-established sponsorship infrastructure, making it a realistic target for international candidates pursuing H-1B, E-3, or Green Card pathways.
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Get Access To All JobsINTRODUCTION
Our Deloitte Strategy & Transactions team helps guide clients through their most critical moments and transformational initiatives. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability. Work alongside clients every step of the way, helping them navigate new challenges, avoid financial pitfalls, and provide practical solutions at every stage of their journey—before, during, and after any major transformational projects or transactions. SFL Scientific is a Deloitte Business that is part of our Strategy Offering, within our broader Strategy & Transactions practice mentioned above. This specialized team brings together several key capabilities to architect integrated programs that transform our clients' businesses. We are hiring a Data Science Manager to support the technical design, development, and deployment of novel AI solutions across healthcare, life sciences, manufacturing, consumer, energy, and other industries. Join us at SFL Scientific to expand your technical acumen through the lens of professional services and consulting and help create novel solutions to advance your data science & AI career. Recruiting for this role ends on 2/28/2026.
ROLE AND RESPONSIBILITIES
As a Data Science Manager at SFL Scientific, you will develop and manage a team of developers to deliver novel solutions in the AI and GenAI domains. You will be responsible for the technical direction of client engagements while defining the project strategy, communicating complex concepts to both technical and non-technical audiences, and leading solution development to solve our clients' use cases.
The Data Science Manager will provide leadership for our comprehensive data science and AI initiatives, developing and executing strategies that deliver measurable business and scientific outcomes. Successful candidates will be an expert in using state-of-the-art technologies such as computer vision, natural language processing (NLP), time-series analysis, graph neural networks, and other AI/ML subdomains to solve complex business problems across diverse applications and use cases. Data Science Managers are also responsible for but not limited to:
- Support identification of high-value AI opportunities that drive industry advantage, representing an organization's AI vision through strategic delivery and industry.
- Serve as the technical lead on projects to drive the technical strategy, roadmap, and prototyping of AI/ML solutions to meet each clients' unique requirements.
- Engage and guide a diverse set of clients with high autonomy in AI strategy and adoption, including understanding organizational needs, performing exploratory data analysis (EDA), building and validating models, and deploying models into production.
- Lead comprehensive AI initiatives spanning predictive and generative AI, overseeing development of advanced models and ensuring systems are scalable, efficient, and adhere to requirements and AI guidelines.
- Support an interdisciplinary team of data scientists, engineers, and solution architects to achieve technical delivery objectives and real-world performance for production and research applications.
- Lead in the research and adoption of industry best practices for validation and deployment of models; support best delivery practices, code review, UAT, unit, and integration tests.
- Present to key stakeholders, including solution findings and options for potential deployment infrastructure, hardware, software, cloud, etc.
- Mentor, motivate, and coach junior data scientists on technical best practices and inspire professional development.
- Develop key skillsets and delivery experience to grow into leadership or non-technical management and business roles.
THE TEAM
Our Strategy offering architects bold strategies to achieve business and mission goals, enabling growth, competitive advantage, technology modernization, and continuous digital and AI transformation. Specifically, SFL Scientific, a Deloitte Business, is a data science professional services practice focused on strategy, technology, and solving business challenges with Artificial Intelligence (AI). The team has a proven track record serving large, market-leading organizations in the private and public sectors, successfully delivering high-quality, novel and complex projects, and offering deep domain and scientific capabilities. We are advancing both predictive and generative AI technologies while maintaining a commitment to data-driven decision making across all levels of a client's organization, building solutions that drive growth and create meaningful impact. Made up of experienced AI strategists, data scientists, and AI engineers, they serve as trusted advisors to executives, helping them understand and evaluate new and essential areas for AI investment and identify unique opportunities to transform their businesses.
BASIC QUALIFICATIONS
Master's or PhD degree in a relevant STEM field (Data Science, Computer Science, Engineering, Mathematics, Physics, etc.)
6+ years of experience working in data science, data engineering, software engineering, or MLOps
6+ years of experience in AI/ML algorithm development workflow and data analysis in the major data modalities from NLP, time-series analysis, computer vision to graph models
6+ years of experience in core programming languages and data science packages (Python, Keras, PyTorch, Pandas, Scikit-learn, Docker, Kubernetes, etc.)
6+ years of experience with traditional ML and deep learning techniques (CNNs, RNNs, LSTMs, GANs), model tuning, and validation of developed algorithms
4+ years of experience managing teams and delivering complex and critical projects
Live within commuting distance to one of Deloitte's consulting offices
Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
* Limited immigration sponsorship may be available
PREFERRED QUALIFICATIONS
Experience with cloud deployment (AWS, Azure, GCP), such as building and scaling in AWS SageMaker or Azure ML Studio
Experience with developing and testing GenAI solutions
Experience in a client-facing role or internal AI product development role
Highly proficient written and verbal skills to support briefings, proposals, technical sprint plans, solution reports, progress updates, and executive presentations
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $130,800 to $241,000. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
MonitorDeloitte #DeloitteJobs #StrategyConsulting #DeloitteStrategy #Strategy26 #SFL26
INTRODUCTION
Our Deloitte Strategy & Transactions team helps guide clients through their most critical moments and transformational initiatives. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability. Work alongside clients every step of the way, helping them navigate new challenges, avoid financial pitfalls, and provide practical solutions at every stage of their journey—before, during, and after any major transformational projects or transactions. SFL Scientific is a Deloitte Business that is part of our Strategy Offering, within our broader Strategy & Transactions practice mentioned above. This specialized team brings together several key capabilities to architect integrated programs that transform our clients' businesses. We are hiring a Data Science Manager to support the technical design, development, and deployment of novel AI solutions across healthcare, life sciences, manufacturing, consumer, energy, and other industries. Join us at SFL Scientific to expand your technical acumen through the lens of professional services and consulting and help create novel solutions to advance your data science & AI career. Recruiting for this role ends on 2/28/2026.
ROLE AND RESPONSIBILITIES
As a Data Science Manager at SFL Scientific, you will develop and manage a team of developers to deliver novel solutions in the AI and GenAI domains. You will be responsible for the technical direction of client engagements while defining the project strategy, communicating complex concepts to both technical and non-technical audiences, and leading solution development to solve our clients' use cases.
The Data Science Manager will provide leadership for our comprehensive data science and AI initiatives, developing and executing strategies that deliver measurable business and scientific outcomes. Successful candidates will be an expert in using state-of-the-art technologies such as computer vision, natural language processing (NLP), time-series analysis, graph neural networks, and other AI/ML subdomains to solve complex business problems across diverse applications and use cases. Data Science Managers are also responsible for but not limited to:
- Support identification of high-value AI opportunities that drive industry advantage, representing an organization's AI vision through strategic delivery and industry.
- Serve as the technical lead on projects to drive the technical strategy, roadmap, and prototyping of AI/ML solutions to meet each clients' unique requirements.
- Engage and guide a diverse set of clients with high autonomy in AI strategy and adoption, including understanding organizational needs, performing exploratory data analysis (EDA), building and validating models, and deploying models into production.
- Lead comprehensive AI initiatives spanning predictive and generative AI, overseeing development of advanced models and ensuring systems are scalable, efficient, and adhere to requirements and AI guidelines.
- Support an interdisciplinary team of data scientists, engineers, and solution architects to achieve technical delivery objectives and real-world performance for production and research applications.
- Lead in the research and adoption of industry best practices for validation and deployment of models; support best delivery practices, code review, UAT, unit, and integration tests.
- Present to key stakeholders, including solution findings and options for potential deployment infrastructure, hardware, software, cloud, etc.
- Mentor, motivate, and coach junior data scientists on technical best practices and inspire professional development.
- Develop key skillsets and delivery experience to grow into leadership or non-technical management and business roles.
THE TEAM
Our Strategy offering architects bold strategies to achieve business and mission goals, enabling growth, competitive advantage, technology modernization, and continuous digital and AI transformation. Specifically, SFL Scientific, a Deloitte Business, is a data science professional services practice focused on strategy, technology, and solving business challenges with Artificial Intelligence (AI). The team has a proven track record serving large, market-leading organizations in the private and public sectors, successfully delivering high-quality, novel and complex projects, and offering deep domain and scientific capabilities. We are advancing both predictive and generative AI technologies while maintaining a commitment to data-driven decision making across all levels of a client's organization, building solutions that drive growth and create meaningful impact. Made up of experienced AI strategists, data scientists, and AI engineers, they serve as trusted advisors to executives, helping them understand and evaluate new and essential areas for AI investment and identify unique opportunities to transform their businesses.
BASIC QUALIFICATIONS
Master's or PhD degree in a relevant STEM field (Data Science, Computer Science, Engineering, Mathematics, Physics, etc.)
6+ years of experience working in data science, data engineering, software engineering, or MLOps
6+ years of experience in AI/ML algorithm development workflow and data analysis in the major data modalities from NLP, time-series analysis, computer vision to graph models
6+ years of experience in core programming languages and data science packages (Python, Keras, PyTorch, Pandas, Scikit-learn, Docker, Kubernetes, etc.)
6+ years of experience with traditional ML and deep learning techniques (CNNs, RNNs, LSTMs, GANs), model tuning, and validation of developed algorithms
4+ years of experience managing teams and delivering complex and critical projects
Live within commuting distance to one of Deloitte's consulting offices
Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
* Limited immigration sponsorship may be available
PREFERRED QUALIFICATIONS
Experience with cloud deployment (AWS, Azure, GCP), such as building and scaling in AWS SageMaker or Azure ML Studio
Experience with developing and testing GenAI solutions
Experience in a client-facing role or internal AI product development role
Highly proficient written and verbal skills to support briefings, proposals, technical sprint plans, solution reports, progress updates, and executive presentations
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $130,800 to $241,000. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
MonitorDeloitte #DeloitteJobs #StrategyConsulting #DeloitteStrategy #Strategy26 #SFL26
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Get Access To All JobsTips for Finding Data Science Manager Jobs at Deloitte Jobs
Frame your credentials around consulting deliverables
Deloitte evaluates Data Science Manager candidates on client-facing impact, not just technical depth. Translate your modeling work into business outcomes, revenue influence, or risk reduction. That framing aligns with how their hiring panels assess specialty occupation eligibility under USCIS standards.
Target practices with active federal contracts
Deloitte's Government and Public Services practice files heavily for data science talent. Roles tied to federal clients often have longer project cycles, which strengthens the employer's case for multi-year H-1B sponsorship and reduces the risk of position elimination mid-petition.
Clarify sponsorship scope before the final interview round
Deloitte's recruiting process moves quickly once you clear the case interview. Ask your recruiter whether the specific practice group covers H-1B transfer costs and premium processing, because policies vary by business unit and geography, not just job title.
Document your degree equivalency before offer stage
If your bachelor's degree is from a three-year program outside the U.S., get a credential evaluation from a NACES-accredited organization before Deloitte's immigration team reviews your file. A mismatch between your degree and the specialty occupation definition is a common H-1B RFE trigger for manager-level petitions.
Search verified sponsorship roles using Migrate Mate
Filter for Data Science Manager openings at Deloitte using Migrate Mate, which surfaces roles where sponsorship is confirmed rather than implied. That narrows your applications to positions where the hiring team is already prepared to initiate the petition process.
Understand how E-3 fits Deloitte's filing calendar
Australian citizens can use the E-3 visa outside the H-1B lottery window. Deloitte's immigration team is familiar with E-3 petitions, and the DOL Labor Condition Application process for E-3 mirrors H-1B, so your onboarding timeline stays predictable if you switch categories before starting.
Data Science Manager at Deloitte jobs are hiring across the US. Find yours.
Find Data Science Manager at Deloitte JobsFrequently Asked Questions
Does Deloitte sponsor H-1B visas for Data Science Managers?
Yes, Deloitte sponsors H-1B visas for Data Science Manager roles and has a dedicated internal immigration team that manages petitions across its U.S. practices. Sponsorship availability can vary by practice group and office location, so confirm the details with your recruiter early in the process. Premium processing is handled case by case depending on business need.
How do I apply for Data Science Manager jobs at Deloitte?
You can apply through Deloitte's careers portal or find open roles filtered by visa sponsorship eligibility on Migrate Mate. Deloitte's hiring process for this level typically includes a resume screen, behavioral interviews, and at least one case-style discussion. Roles are often posted by practice area, so searching by industry vertical alongside job title improves your results.
Which visa types does Deloitte commonly use for Data Science Manager roles?
Deloitte sponsors H-1B, H-1B1, and E-3 visas for Data Science Manager positions, covering candidates from most countries, Singapore, Chile, and Australia respectively. For candidates pursuing permanent residence, Deloitte supports EB-2 and EB-3 Green Card pathways, typically initiated after a period of employment. The PERM labor certification process applies to most employment-based Green Card filings at this level.
What qualifications does Deloitte expect for a Data Science Manager role?
Deloitte generally expects a bachelor's or advanced degree in a quantitative field such as computer science, statistics, or applied mathematics, along with several years of experience leading data science teams or client engagements. Proficiency in Python or R, experience with cloud platforms, and the ability to translate technical outputs into business recommendations are consistently emphasized across postings. Consulting experience or client-facing exposure strengthens your candidacy significantly.
How do I plan my timeline if I need H-1B sponsorship at Deloitte?
The H-1B cap lottery opens each March for an October 1 start date, so align your offer and onboarding discussions accordingly. If you're transferring from another H-1B employer, Deloitte can file a cap-exempt transfer and you can start after USCIS receives the petition. For candidates currently on OPT, STEM OPT extensions provide up to 24 additional months of work authorization to bridge the wait.
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