Data Scientist, Lead Location: Huntsville United States Job type: Hybrid Time Type: Full Time Job id: R0236649 Job Description: The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning (ML), and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can turn these complex data sets into useful information to solve global challenges. Across private and public sectors, from fraud detection to cancer research, to national intelligence, we need a seasoned data scientist like you to help find the answers in the data. On our team, you'll use your leadership skills and data science expertise to create real-world impact. You'll work closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You'll guide and mentor your team as you oversee the development of algorithms and systems. You'll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. As a technical leader, you'll identify new opportunities to use data science solutions to help your clients meet their toughest challenges. Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be used. Work with us as we use data science for good. Join us. The world can't wait. You Have: - 8+ years of experience in data science or data analytics - Experience in Python and with using data science languages and tools, including Git, GitLab, or GitHub, JavaScript, HTML, and CSS - Experience designing, testing, and validating the quality of the data and data processes, and analyzing and reporting results with actionable insights - Experience in finding and designing new approaches to handling, analyzing, and using large volumes of data sets - Experience solving complex data and storage issues, such as issues with data handling, search, and retention - Experience designing improved data search processes and utilizing big data technologies - Knowledge of data science models to analyze large amounts of data and create valuable insights - Ability to lead or design ML, statistical analysis, and data analysis tasks - Top Secret clearance - HS diploma or GED Nice If You Have: - Bachelor's degree preferred; Master's degree a plus - Program Management Institute Agile Certified Practitioner (PMI-ACP) or Project Management Professional (PMP) Certification Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Top Secret clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $112,800.00 to $257,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided. Work Model Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings. - Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility. - Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility. - Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law. DRE1

• Advanced AI Solution Design & Architecture: Lead the technical design, development, and architecture of cutting-edge AI and Generative AI solutions. This includes selecting appropriate models (LLMs, diffusion models, etc.), designing data pipelines for AI training and inference, and architecting scalable and robust AI systems. • Strategic Client Engagement & Technical Advisory: Serve as a trusted technical advisor to national and international clients, guiding them from strategic planning stages through to the pilot and full-scale implementation of complex AI and GenAI projects. Confidently present and articulate Blend360's technical capabilities and the strategic implications of AI solutions to senior client stakeholders. • Technical Implementation & Oversight: Provide hands-on technical leadership and guidance throughout the entire project lifecycle, from proof-of-concept to pilot and full-scale production deployment. Ensure technical excellence, adherence to best practices, and the delivery of high-quality, performant AI solutions. • Thought Leadership & Innovation: Drive thought leadership in the evolving landscape of GenAI, large language models (LLMs), agentic AI systems, and emerging AI techniques. Research and evaluate new technologies, contribute to internal IP development, and publish insights that position Blend360 at the forefront of AI innovation. • Business Development Support & Technical Scoping: Actively participate in presales activities, providing deep technical expertise for proposal development, solution architecture, and technical scoping. Support the identification and capitalization on new business opportunities by demonstrating our technical capabilities and value proposition. • AI Strategy & Roadmapping: Collaborate with clients to understand their business challenges and translate them into actionable AI strategies and technical roadmaps. Develop bespoke GenAI solutions, facilitate seamless integration, and advise on organizational changes necessary for AI adoption. • Project Leadership & Execution: Lead and manage specific technical workstreams within complex projects, ensuring deliverables meet the strategic goals, technical excellence, and quality standards expected by our clients. Drive cross-functional collaboration with data scientists, machine learning engineers, and other specialists to ensure successful technical outcomes. • Service Evolution & Go-to-Market: Contribute to the continuous development and technical refinement of Blend360's AI and Generative Solutions offerings. Support go-to-market strategies by providing technical insights and expertise for effective positioning in the market.

Req ID: 360897 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Data Engineer Advisor to join our team in Remote, Karnātaka (IN-KA), India (IN). Insurance Domain Experience in Must "Job Duties: Key Responsibilities Data Modeller • Develop and maintain data models-Logical and Physical, to support business needs ensuring data integrity for Insurance domains. • Design models aligned to Databricks medallion architecture by translating the requirements of underwriting ,delegated authority, reinsurance, actuarial, claims and finance. • Implement and maintain modelling standards ,naming conventions, metadata and documentation working closely with data analyst, data engineers, and associates in data office • Review existing models and propose simplification, standardisation and target state improvements across projects and for wider requirements. • Lead the evolution of requirements , refine and translate the specifications into data models to enable development phase • Ensure the models accurately reflect Insurance processes and data elements before handing it over to engineering. Minimum Skills Required: Data Profile • Experience delivering data models for P&C ,Specialty insurance projects with exposure to Lloyd’s/London Market and Syndicate data structures is required . • Understanding of insurance domain concepts and proficiency with data modelling tools(eg Erwin) • Expertise in enterprise data modelling, including conceptual, logical, and physical models for transactional domains • Experience in data modelling using Dimensional Star/Snowflake, Data Vault, and 3NF methodologies. • Knowledge of data warehousing and ETL/ELT pipelines • Experience with Azure Data Factory and Databricks ,designing data pipelines can be advantageous • Understanding and knowledge of system development life cycle methodologies (such as agile software development) • Excellent collaboration and communications skills to deal with senior leaders, stakeholders and technical teams is required • Flexibility and bringing a curious and creative mindset, open to new things and able to propose innovative idea" About NTT DATA NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D. Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us. NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

• Own the development and deployment of machine learning models to support operational and clinical use cases at Monogram under the guidance of more senior data scientists • Perform ad-hoc data analyses related to outputs or alternative use-cases for existing models (e.g. summarize outputs for reporting purposes) • Work with program owners to understand the goals, key performance measures, and operational details of programs and processes to ensure models are aligned with program intent • Create and present proposals for machine learning solutions to program owners with the aim of ensuring buy-in to proposed solution(s)