AArete Careers - Senior Data Scientist

Business Systems Analyst- Payment IntelligencePune, IndiaSenior

Active

Job description

AArete Careers { "@context": "http://schema.org", "@type": "JobPosting", "datePosted": "2026-06-05", "description": "

\u00A0

Senior Data Scientist

\u00A0

AArete is one-of-a-kind when it comes to consulting firm culture.

\u00A0\u00A0

We\u2019re a global, innovative management and technology consulting firm with offices in the U.S. and India.\u00A0Our name comes from the Greek word for excellence: \u201CAret\u00E9.\u201D\u00A0 And excellence is exactly what we strive for.\u00A0\u00A0

\u00A0

We\u2019re celebrating our fourth year as one of Forbes\u2019 World\u2019s Best Management Consulting Firms \u2013 and our success starts with our people. From robust career development planning to competitive life and wellness benefits, AArete\u2019s \u201CCulture of Care\u201D takes a holistic approach to the employee experience.\u00A0\u00A0

\u00A0\u00A0

AAretians (our team members) are leaders at every level. You are encouraged to unlock your full potential by directly contributing to our mission and prioritizing personal development and fulfillment.\u00A0

\u00A0

The Role\u00A0

\u00A0

We are looking for a\u00A0Senior Data Scientist who will support our client teams with insights gained from analyzing data\u00A0leveraging\u202Fadvance\u202Fanalytics techniques. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate has the capability to formulate data driven solutions in collaboration with stakeholders\u2019 business requirements.\u00A0In the new age of AI, this role will lead the design, evaluation, and operationalization of advanced Generative AI and Agentic AI solutions that responsibly augment analytical workflows, accelerate client delivery, and convert complex data into practical business action.\u00A0\u00A0

\u202F\u00A0

Work\u00A0You\u2019ll\u00A0Do\u00A0

\u00A0

Work directly with client teams to\u00A0identify\u00A0opportunities for\u00A0leveraging\u00A0advanced analytical techniques to drive business solutions\u00A0
Develop custom AI/ML models and algorithms to apply to data sets\u00A0
Develop processes and tools to create and\u00A0monitor\u00A0data models while\u00A0maintaining\u00A0accuracy and other associated metrics necessary for the business objective\u00A0
Lead the design, prototyping, and evaluation of Agentic AI workflows, including tool-using agents, retrieval-augmented generation, orchestration patterns, and human-in-the-loop controls\u00A0
Apply and guide advanced Generative AI techniques, including prompt engineering, model evaluation, grounding, safety guardrails, and responsible AI practices, to solve complex client business problems\u00A0
Leverage and mentor others in the use of AI assistive engineering tools such as Claude Code, GitHub Copilot, or similar platforms to improve development velocity, code quality, documentation, and experimentation\u00A0
Provide technical leadership in rapidly learning new domains, framing ambiguous problems, and translating AI/ML opportunities into measurable client outcomes\u00A0
Other duties as assigned\u00A0

\u202F\u00A0

Requirements\u00A0

\u00A0

6+ years of work experience with a bachelor\u2019s degree in quantitative field such as\u00A0Data Science,\u00A0Computer Science, Statistics, Economics, Math, Engineering, advanced degree preferred\u00A0\u00A0
Previous\u00A0experience working with relational databases and developing advanced SQL queries is\u00A0a must\u00A0
Hands-on Agentic AI experience, including leading or evaluating AI agents, multi-step AI workflows, tool/function calling, retrieval-augmented generation, or workflow orchestration frameworks\u00A0
Ability to lead projects and mentor junior\u00A0data scientists, own and deliver outcome with thorough project management,\u00A0planning\u00A0and sound architectural decisions\u00A0
Advanced Generative AI experience, including prompt engineering, LLM application architecture, model evaluation, responsible AI practices, and delivery of AI-enabled solutions in business settings\u00A0
Advanced Python experience for data science, machine learning, model experimentation, automation, API integration, and production-quality analytical workflows\u00A0
Strong AI/ML background with practical depth across supervised learning, unsupervised learning, model validation, feature engineering, statistical analysis, and business-focused experimentation\u00A0
Demonstrated ability to learn and adapt quickly in fast-changing AI environments, with passion for AI, curiosity, and a continuous learning mindset\u00A0
Strong problem-solving and technical leadership skills with the ability to structure ambiguous business questions, test hypotheses, and guide teams toward practical analytical recommendations\u00A0
Experience\u00A0leveraging\u00A0AI assistive tools such as Claude Code, GitHub Copilot, or similar tools to accelerate coding, analytics, documentation, testing, and solution development\u00A0
Experience working with business\u202Fintelligence platforms: Tableau, Power BI, etc.\u00A0

\u00A0

Preferred Requirements\u00A0

\u00A0

Healthcare industry experience, especially with payer, provider, clinical, claims, revenue cycle, population health, or healthcare operations data\u00A0
AWS cloud experience, including familiarity with services such as Amazon SageMaker, Amazon Bedrock, Lambda, Glue, S3, Redshift, or related cloud-native AI/ML services\u00A0
Snowflake experience, including data modeling, SQL optimization, secure data sharing, or analytics engineering in cloud data warehouse environments\u00A0
Consulting background with experience working directly with clients, managing ambiguity, and delivering executive-ready recommendations\u00A0
AWS AI or machine learning certifications, such as AWS Certified Machine Learning Engineer, AWS Certified Machine Learning Specialty, AWS Certified AI Practitioner, or related AWS credentials\u00A0

\u00A0

Benefits

Flexible Paid Time Off of up to 23 days annually, in addition to 10 paid public holidays
Hybrid work model with flexible in-office attendance
Comprehensive health benefits including medical insurance (Mediclaim), personal accident insurance, and term life insurance
Generous paid parental leave program
Attractive employee referral bonus scheme
Transportation allowance and night shift allowance
Employee advance salary loan facility
Structured professional certification reimbursement policy to support ongoing learning and development

\u00A0

We put humans at the center of our work\u00A0

\u00A0\u00A0

We\u2019re a global management and technology consulting firm specializing in strategic profitability improvement, digital transformation, and strategy & change for clients. Our cross-industry solutions are powered by a digital-first mindset, market intelligence, and data-driven approach to deliver purposeful change, actionable insights, and guaranteed results.

\u00A0\u00A0

But what sets us apart is our people. We are guided by our deeply embedded guiding principles: Excellence, Passion, Loyalty to Clients, Stewardship, Family, Community, Sustainability, and Inclusion.\u00A0\u00A0

\u00A0\u00A0

And we\u2019ve been recognized as a top firm to work for by companies like Forbes, Top Workplaces Chicago Tribune, and Consulting Magazine.\u00A0\u00A0

\u00A0\u00A0

We\u2019ve earned a Great Place to Work Certification\u2122 and been named a World\u2019s Best Management Consulting Firm by Forbes, Vault\u2019s Top 50 Firms to Work For, Crain's Chicago Business Fast 50, Inc 5000\u2019s Fastest Growing Firms, and Consulting Magazine's Fastest Growing Firms. \u00A0

\u00A0

Learn more about our award-winning culture

\u00A0

AArete, LLC (\u201CAArete\u201D) may utilize Artificial Intelligence/Automated Decision-Making Technology/Automated Employment Decision Technology tools and resources (\u201CAI\u201D or \u201Ctools\u201D or \u201Cresources\u201D) to assist humans in generating job descriptions and postings, recruitment, analyzation of information, screening candidates, evaluation of candidate information, and assisting humans in the selection of potential candidates by all levels of AArete employees for all positions.\u00A0

\u00A0

AArete may use Microsoft Co-Pilot,\u00A0OpenAI\u00A0ChatGPT, Anthropic Claude, Google Gemini, LinkedIn Recruiter AI and Hiring Assistant, Jobvite Talent Fit and AArete HireSense. AArete may use all the information you provide. Submission of information to AArete shall serve as consent to AArete\u2019s use of AI tools and resources. AArete complies with all applicable law and does not use AI to discriminate against any individual and does not use location or geographic data like zip codes to act in a discriminatory or illegal manner. Your personal data may be used in relation to prospective employment with AArete and will only be retained for so long as legally necessary.\u00A0

\u00A0

AArete shall comply with its posted privacy policies and candidates may contact Recruiting or Privacy Departments, as identified below, to request accommodations or to exercise any of your applicable rights, pursuant to applicable law:\u00A0\u00A0\u00A0

\u00A0

Recruiting:\[email protected]

\u00A0

Privacy:\[email protected]\u00A0\u00A0\u202F\u202F

\u00A0

We are an Equal Employment Opportunity Employer\u202F

\u202F\u202F

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.\u202F

\u00A0

#LI-DNI

", "hiringOrganization": "AArete", "employmentType": "Full-Time", "industry": "Digital Technology Services", "identifier": "oNjfAfwF", "jobLocation": [ { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "India" } } ], "title": "Senior Data Scientist", "baseSalary": { "@type": "MonetaryAmount", "currency": "", "value": { "@type": "QuantitativeValue", "minValue": "", "maxValue": "", "unitText": "" } } } Senior Data Scientist Digital Technology Services Pune, India Apply Description Senior Data Scientist AArete is one-of-a-kind when it comes to consulting firm culture. We’re a global, innovative management and technology consulting firm with offices in the U.S. and India. Our name comes from the Greek word for excellence: “Areté.” And excellence is exactly what we strive for. We’re celebrating our fourth year as one of Forbes’ World’s Best Management Consulting Firms – and our success starts with our people. From robust career development planning to competitive life and wellness benefits, AArete’s “Culture of Care” takes a holistic approach to the employee experience. AAretians (our team members) are leaders at every level. You are encouraged to unlock your full potential by directly contributing to our mission and prioritizing personal development and fulfillment. The Role We are looking for a Senior Data Scientist who will support our client teams with insights gained from analyzing data leveraging advance analytics techniques. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate has the capability to formulate data driven solutions in collaboration with stakeholders’ business requirements. In the new age of AI, this role will lead the design, evaluation, and operationalization of advanced Generative AI and Agentic AI solutions that responsibly augment analytical workflows, accelerate client delivery, and convert complex data into practical business action. Work You’ll Do Work directly with client teams to identify opportunities for leveraging advanced analytical techniques to drive business solutions Develop custom AI/ML models and algorithms to apply to data sets Develop processes and tools to create and monitor data models while maintaining accuracy and other associated metrics necessary for the business objective Lead the design, prototyping, and evaluation of Agentic AI workflows, including tool-using agents, retrieval-augmented generation, orchestration patterns, and human-in-the-loop controls Apply and guide advanced Generative AI techniques, including prompt engineering, model evaluation, grounding, safety guardrails, and responsible AI practices, to solve complex client business problems Leverage and mentor others in the use of AI assistive engineering tools such as Claude Code, GitHub Copilot, or similar platforms to improve development velocity, code quality, documentation, and experimentation Provide technical leadership in rapidly learning new domains, framing ambiguous problems, and translating AI/ML opportunities into measurable client outcomes Other duties as assigned Requirements 6+ years of work experience with a bachelor’s degree in quantitative field such as Data Science, Computer Science, Statistics, Economics, Math, Engineering, advanced degree preferred Previous experience working with relational databases and developing advanced SQL queries is a must Hands-on Agentic AI experience, including leading or evaluating AI agents, multi-step AI workflows, tool/function calling, retrieval-augmented generation, or workflow orchestration frameworks Ability to lead projects and mentor junior data scientists, own and deliver outcome with thorough project management, planning and sound architectural decisions Advanced Generative AI experience, including prompt engineering, LLM application architecture, model evaluation, responsible AI practices, and delivery of AI-enabled solutions in business settings Advanced Python experience for data science, machine learning, model experimentation, automation, API integration, and production-quality analytical workflows Strong AI/ML background with practical depth across supervised learning, unsupervised learning, model validation, feature engineering, statistical analysis, and business-focused experimentation Demonstrated ability to learn and adapt quickly in fast-changing AI environments, with passion for AI, curiosity, and a continuous learning mindset Strong problem-solving and technical leadership skills with the ability to structure ambiguous business questions, test hypotheses, and guide teams toward practical analytical recommendations Experience leveraging AI assistive tools such as Claude Code, GitHub Copilot, or similar tools to accelerate coding, analytics, documentation, testing, and solution development Experience working with business intelligence platforms: Tableau, Power BI, etc. Preferred Requirements Healthcare industry experience, especially with payer, provider, clinical, claims, revenue cycle, population health, or healthcare operations data AWS cloud experience, including familiarity with services such as Amazon SageMaker, Amazon Bedrock, Lambda, Glue, S3, Redshift, or related cloud-native AI/ML services Snowflake experience, including data modeling, SQL optimization, secure data sharing, or analytics engineering in cloud data warehouse environments Consulting background with experience working directly with clients, managing ambiguity, and delivering executive-ready recommendations AWS AI or machine learning certifications, such as AWS Certified Machine Learning Engineer, AWS Certified Machine Learning Specialty, AWS Certified AI Practitioner, or related AWS credentials BenefitsFlexible Paid Time Off of up to 23 days annually, in addition to 10 paid public holidaysHybrid work model with flexible in-office attendanceComprehensive health benefits including medical insurance (Mediclaim), personal accident insurance, and term life insuranceGenerous paid parental leave programAttractive employee referral bonus schemeTransportation allowance and night shift allowanceEmployee advance salary loan facilityStructured professional certification reimbursement policy to support ongoing learning and development We put humans at the center of our work We’re a global management and technology consulting firm specializing in strategic profitability improvement, digital transformation, and strategy & change for clients. Our cross-industry solutions are powered by a digital-first mindset, market intelligence, and data-driven approach to deliver purposeful change, actionable insights, and guaranteed results. But what sets us apart is our people. We are guided by our deeply embedded guiding principles: Excellence, Passion, Loyalty to Clients, Stewardship, Family, Community, Sustainability, and Inclusion. And we’ve been recognized as a top firm to work for by companies like Forbes, Top Workplaces Chicago Tribune, and Consulting Magazine. We’ve earned a Great Place to Work Certification™ and been named a World’s Best Management Consulting Firm by Forbes, Vault’s Top 50 Firms to Work For, Crain's Chicago Business Fast 50, Inc 5000’s Fastest Growing Firms, and Consulting Magazine's Fastest Growing Firms. Learn more about our award-winning culture AArete, LLC (“AArete”) may utilize Artificial Intelligence/Automated Decision-Making Technology/Automated Employment Decision Technology tools and resources (“AI” or “tools” or “resources”) to assist humans in generating job descriptions and postings, recruitment, analyzation of information, screening candidates, evaluation of candidate information, and assisting humans in the selection of potential candidates by all levels of AArete employees for all positions. AArete may use Microsoft Co-Pilot, OpenAI ChatGPT, Anthropic Claude, Google Gemini, LinkedIn Recruiter AI and Hiring Assistant, Jobvite Talent Fit and AArete HireSense. AArete may use all the information you provide. Submission of information to AArete shall serve as consent to AArete’s use of AI tools and resources. AArete complies with all applicable law and does not use AI to discriminate against any individual and does not use location or geographic data like zip codes to act in a discriminatory or illegal manner. Your personal data may be used in relation to prospective employment with AArete and will only be retained for so long as legally necessary. AArete shall comply with its posted privacy policies and candidates may contact Recruiting or Privacy Departments, as identified below, to request accommodations or to exercise any of your applicable rights, pursuant to applicable law: Recruiting: [email protected] Privacy: [email protected] We are an Equal Employment Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. #LI-DNI#LI-DNI Apply Apply Later ← Back to Current Openings Share lang: en_US Share LinkedIn Facebook Twitter Email Powered by Jobvite

AArete Careers { "@context": "http://schema.org", "@type": "JobPosting", "datePosted": "2026-06-05", "description": "

\u00A0

Senior Data Scientist

\u00A0

AArete is one-of-a-kind when it comes to consulting firm culture.

\u00A0\u00A0

\u00A0

\u00A0\u00A0

\u00A0

The Role\u00A0

\u00A0

\u202F\u00A0

Work\u00A0You\u2019ll\u00A0Do\u00A0

\u00A0

Work directly with client teams to\u00A0identify\u00A0opportunities for\u00A0leveraging\u00A0advanced analytical techniques to drive business solutions\u00A0
Develop custom AI/ML models and algorithms to apply to data sets\u00A0
Develop processes and tools to create and\u00A0monitor\u00A0data models while\u00A0maintaining\u00A0accuracy and other associated metrics necessary for the business objective\u00A0
Lead the design, prototyping, and evaluation of Agentic AI workflows, including tool-using agents, retrieval-augmented generation, orchestration patterns, and human-in-the-loop controls\u00A0
Apply and guide advanced Generative AI techniques, including prompt engineering, model evaluation, grounding, safety guardrails, and responsible AI practices, to solve complex client business problems\u00A0
Leverage and mentor others in the use of AI assistive engineering tools such as Claude Code, GitHub Copilot, or similar platforms to improve development velocity, code quality, documentation, and experimentation\u00A0
Provide technical leadership in rapidly learning new domains, framing ambiguous problems, and translating AI/ML opportunities into measurable client outcomes\u00A0
Other duties as assigned\u00A0

\u202F\u00A0

Requirements\u00A0

\u00A0

6+ years of work experience with a bachelor\u2019s degree in quantitative field such as\u00A0Data Science,\u00A0Computer Science, Statistics, Economics, Math, Engineering, advanced degree preferred\u00A0\u00A0
Previous\u00A0experience working with relational databases and developing advanced SQL queries is\u00A0a must\u00A0
Hands-on Agentic AI experience, including leading or evaluating AI agents, multi-step AI workflows, tool/function calling, retrieval-augmented generation, or workflow orchestration frameworks\u00A0
Ability to lead projects and mentor junior\u00A0data scientists, own and deliver outcome with thorough project management,\u00A0planning\u00A0and sound architectural decisions\u00A0
Advanced Generative AI experience, including prompt engineering, LLM application architecture, model evaluation, responsible AI practices, and delivery of AI-enabled solutions in business settings\u00A0
Advanced Python experience for data science, machine learning, model experimentation, automation, API integration, and production-quality analytical workflows\u00A0
Strong AI/ML background with practical depth across supervised learning, unsupervised learning, model validation, feature engineering, statistical analysis, and business-focused experimentation\u00A0
Demonstrated ability to learn and adapt quickly in fast-changing AI environments, with passion for AI, curiosity, and a continuous learning mindset\u00A0
Strong problem-solving and technical leadership skills with the ability to structure ambiguous business questions, test hypotheses, and guide teams toward practical analytical recommendations\u00A0
Experience\u00A0leveraging\u00A0AI assistive tools such as Claude Code, GitHub Copilot, or similar tools to accelerate coding, analytics, documentation, testing, and solution development\u00A0
Experience working with business\u202Fintelligence platforms: Tableau, Power BI, etc.\u00A0

\u00A0

Preferred Requirements\u00A0

\u00A0

Healthcare industry experience, especially with payer, provider, clinical, claims, revenue cycle, population health, or healthcare operations data\u00A0
AWS cloud experience, including familiarity with services such as Amazon SageMaker, Amazon Bedrock, Lambda, Glue, S3, Redshift, or related cloud-native AI/ML services\u00A0
Snowflake experience, including data modeling, SQL optimization, secure data sharing, or analytics engineering in cloud data warehouse environments\u00A0
Consulting background with experience working directly with clients, managing ambiguity, and delivering executive-ready recommendations\u00A0
AWS AI or machine learning certifications, such as AWS Certified Machine Learning Engineer, AWS Certified Machine Learning Specialty, AWS Certified AI Practitioner, or related AWS credentials\u00A0

\u00A0

Benefits

Flexible Paid Time Off of up to 23 days annually, in addition to 10 paid public holidays
Hybrid work model with flexible in-office attendance
Comprehensive health benefits including medical insurance (Mediclaim), personal accident insurance, and term life insurance
Generous paid parental leave program
Attractive employee referral bonus scheme
Transportation allowance and night shift allowance
Employee advance salary loan facility
Structured professional certification reimbursement policy to support ongoing learning and development

\u00A0

We put humans at the center of our work\u00A0

\u00A0\u00A0

And we\u2019ve been recognized as a top firm to work for by companies like Forbes, Top Workplaces Chicago Tribune, and Consulting Magazine.\u00A0\u00A0

\u00A0\u00A0

\u00A0

Learn more about our award-winning culture

\u00A0

Recruiting:\[email protected]

\u00A0

Privacy:\[email protected]\u00A0\u00A0\u202F\u202F

\u00A0

We are an Equal Employment Opportunity Employer\u202F

\u202F\u202F

\u00A0

#LI-DNI

AArete Careers { "@context": "http://schema.org", "@type": "JobPosting", "datePosted": "2026-06-05", "description": "

\u00A0

Senior Data Scientist

\u00A0

AArete is one-of-a-kind when it comes to consulting firm culture.

\u00A0\u00A0

\u00A0

\u00A0\u00A0

\u00A0

The Role\u00A0

\u00A0

\u202F\u00A0

Work\u00A0You\u2019ll\u00A0Do\u00A0

\u00A0

Work directly with client teams to\u00A0identify\u00A0opportunities for\u00A0leveraging\u00A0advanced analytical techniques to drive business solutions\u00A0
Develop custom AI/ML models and algorithms to apply to data sets\u00A0
Develop processes and tools to create and\u00A0monitor\u00A0data models while\u00A0maintaining\u00A0accuracy and other associated metrics necessary for the business objective\u00A0
Lead the design, prototyping, and evaluation of Agentic AI workflows, including tool-using agents, retrieval-augmented generation, orchestration patterns, and human-in-the-loop controls\u00A0
Apply and guide advanced Generative AI techniques, including prompt engineering, model evaluation, grounding, safety guardrails, and responsible AI practices, to solve complex client business problems\u00A0
Leverage and mentor others in the use of AI assistive engineering tools such as Claude Code, GitHub Copilot, or similar platforms to improve development velocity, code quality, documentation, and experimentation\u00A0
Provide technical leadership in rapidly learning new domains, framing ambiguous problems, and translating AI/ML opportunities into measurable client outcomes\u00A0
Other duties as assigned\u00A0

\u202F\u00A0

Requirements\u00A0

\u00A0

6+ years of work experience with a bachelor\u2019s degree in quantitative field such as\u00A0Data Science,\u00A0Computer Science, Statistics, Economics, Math, Engineering, advanced degree preferred\u00A0\u00A0
Previous\u00A0experience working with relational databases and developing advanced SQL queries is\u00A0a must\u00A0
Hands-on Agentic AI experience, including leading or evaluating AI agents, multi-step AI workflows, tool/function calling, retrieval-augmented generation, or workflow orchestration frameworks\u00A0
Ability to lead projects and mentor junior\u00A0data scientists, own and deliver outcome with thorough project management,\u00A0planning\u00A0and sound architectural decisions\u00A0
Advanced Generative AI experience, including prompt engineering, LLM application architecture, model evaluation, responsible AI practices, and delivery of AI-enabled solutions in business settings\u00A0
Advanced Python experience for data science, machine learning, model experimentation, automation, API integration, and production-quality analytical workflows\u00A0
Strong AI/ML background with practical depth across supervised learning, unsupervised learning, model validation, feature engineering, statistical analysis, and business-focused experimentation\u00A0
Demonstrated ability to learn and adapt quickly in fast-changing AI environments, with passion for AI, curiosity, and a continuous learning mindset\u00A0
Strong problem-solving and technical leadership skills with the ability to structure ambiguous business questions, test hypotheses, and guide teams toward practical analytical recommendations\u00A0
Experience\u00A0leveraging\u00A0AI assistive tools such as Claude Code, GitHub Copilot, or similar tools to accelerate coding, analytics, documentation, testing, and solution development\u00A0
Experience working with business\u202Fintelligence platforms: Tableau, Power BI, etc.\u00A0

\u00A0

Preferred Requirements\u00A0

\u00A0

Healthcare industry experience, especially with payer, provider, clinical, claims, revenue cycle, population health, or healthcare operations data\u00A0
AWS cloud experience, including familiarity with services such as Amazon SageMaker, Amazon Bedrock, Lambda, Glue, S3, Redshift, or related cloud-native AI/ML services\u00A0
Snowflake experience, including data modeling, SQL optimization, secure data sharing, or analytics engineering in cloud data warehouse environments\u00A0
Consulting background with experience working directly with clients, managing ambiguity, and delivering executive-ready recommendations\u00A0
AWS AI or machine learning certifications, such as AWS Certified Machine Learning Engineer, AWS Certified Machine Learning Specialty, AWS Certified AI Practitioner, or related AWS credentials\u00A0

\u00A0

Benefits

Flexible Paid Time Off of up to 23 days annually, in addition to 10 paid public holidays
Hybrid work model with flexible in-office attendance
Comprehensive health benefits including medical insurance (Mediclaim), personal accident insurance, and term life insurance
Generous paid parental leave program
Attractive employee referral bonus scheme
Transportation allowance and night shift allowance
Employee advance salary loan facility
Structured professional certification reimbursement policy to support ongoing learning and development

\u00A0

We put humans at the center of our work\u00A0

\u00A0\u00A0

And we\u2019ve been recognized as a top firm to work for by companies like Forbes, Top Workplaces Chicago Tribune, and Consulting Magazine.\u00A0\u00A0

\u00A0\u00A0

\u00A0

Learn more about our award-winning culture

\u00A0

Recruiting:\[email protected]

\u00A0

Privacy:\[email protected]\u00A0\u00A0\u202F\u202F

\u00A0

We are an Equal Employment Opportunity Employer\u202F

\u202F\u202F

\u00A0

#LI-DNI

{ "@context": "http://schema.org", "@type": "JobPosting", "datePosted": "2026-06-05", "description": "

\u00A0

Senior Data Scientist

\u00A0

AArete is one-of-a-kind when it comes to consulting firm culture.

\u00A0\u00A0

\u00A0

\u00A0\u00A0

\u00A0

The Role\u00A0

\u00A0

\u202F\u00A0

Work\u00A0You\u2019ll\u00A0Do\u00A0

\u00A0

Work directly with client teams to\u00A0identify\u00A0opportunities for\u00A0leveraging\u00A0advanced analytical techniques to drive business solutions\u00A0
Develop custom AI/ML models and algorithms to apply to data sets\u00A0
Develop processes and tools to create and\u00A0monitor\u00A0data models while\u00A0maintaining\u00A0accuracy and other associated metrics necessary for the business objective\u00A0
Lead the design, prototyping, and evaluation of Agentic AI workflows, including tool-using agents, retrieval-augmented generation, orchestration patterns, and human-in-the-loop controls\u00A0
Apply and guide advanced Generative AI techniques, including prompt engineering, model evaluation, grounding, safety guardrails, and responsible AI practices, to solve complex client business problems\u00A0
Leverage and mentor others in the use of AI assistive engineering tools such as Claude Code, GitHub Copilot, or similar platforms to improve development velocity, code quality, documentation, and experimentation\u00A0
Provide technical leadership in rapidly learning new domains, framing ambiguous problems, and translating AI/ML opportunities into measurable client outcomes\u00A0
Other duties as assigned\u00A0

\u202F\u00A0

Requirements\u00A0

\u00A0

6+ years of work experience with a bachelor\u2019s degree in quantitative field such as\u00A0Data Science,\u00A0Computer Science, Statistics, Economics, Math, Engineering, advanced degree preferred\u00A0\u00A0
Previous\u00A0experience working with relational databases and developing advanced SQL queries is\u00A0a must\u00A0
Hands-on Agentic AI experience, including leading or evaluating AI agents, multi-step AI workflows, tool/function calling, retrieval-augmented generation, or workflow orchestration frameworks\u00A0
Ability to lead projects and mentor junior\u00A0data scientists, own and deliver outcome with thorough project management,\u00A0planning\u00A0and sound architectural decisions\u00A0
Advanced Generative AI experience, including prompt engineering, LLM application architecture, model evaluation, responsible AI practices, and delivery of AI-enabled solutions in business settings\u00A0
Advanced Python experience for data science, machine learning, model experimentation, automation, API integration, and production-quality analytical workflows\u00A0
Strong AI/ML background with practical depth across supervised learning, unsupervised learning, model validation, feature engineering, statistical analysis, and business-focused experimentation\u00A0
Demonstrated ability to learn and adapt quickly in fast-changing AI environments, with passion for AI, curiosity, and a continuous learning mindset\u00A0
Strong problem-solving and technical leadership skills with the ability to structure ambiguous business questions, test hypotheses, and guide teams toward practical analytical recommendations\u00A0
Experience\u00A0leveraging\u00A0AI assistive tools such as Claude Code, GitHub Copilot, or similar tools to accelerate coding, analytics, documentation, testing, and solution development\u00A0
Experience working with business\u202Fintelligence platforms: Tableau, Power BI, etc.\u00A0

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Preferred Requirements\u00A0

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Healthcare industry experience, especially with payer, provider, clinical, claims, revenue cycle, population health, or healthcare operations data\u00A0
AWS cloud experience, including familiarity with services such as Amazon SageMaker, Amazon Bedrock, Lambda, Glue, S3, Redshift, or related cloud-native AI/ML services\u00A0
Snowflake experience, including data modeling, SQL optimization, secure data sharing, or analytics engineering in cloud data warehouse environments\u00A0
Consulting background with experience working directly with clients, managing ambiguity, and delivering executive-ready recommendations\u00A0
AWS AI or machine learning certifications, such as AWS Certified Machine Learning Engineer, AWS Certified Machine Learning Specialty, AWS Certified AI Practitioner, or related AWS credentials\u00A0

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Benefits

Flexible Paid Time Off of up to 23 days annually, in addition to 10 paid public holidays
Hybrid work model with flexible in-office attendance
Comprehensive health benefits including medical insurance (Mediclaim), personal accident insurance, and term life insurance
Generous paid parental leave program
Attractive employee referral bonus scheme
Transportation allowance and night shift allowance
Employee advance salary loan facility
Structured professional certification reimbursement policy to support ongoing learning and development

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We put humans at the center of our work\u00A0

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And we\u2019ve been recognized as a top firm to work for by companies like Forbes, Top Workplaces Chicago Tribune, and Consulting Magazine.\u00A0\u00A0

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Learn more about our award-winning culture

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Recruiting:\[email protected]

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Privacy:\[email protected]\u00A0\u00A0\u202F\u202F

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We are an Equal Employment Opportunity Employer\u202F

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#LI-DNI

Senior Data Scientist

Digital Technology Services Pune, India