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data & applied scientist ii

senior ai scientist

Intuit

<div>
 
 Overview
 
 
 
 Intuit is seeking a Sr AI Scientist to join our AI Science team in Intuit India for the Virtual Expert Platform (VEP) Organization.
 
 
 We&rsquo;re investing in a culture of &ldquo;builders&rdquo; by fostering an environment where innovation, creativity, and bold thinking are encouraged. I believe that the &ldquo;builder&rdquo; mindset is necessary for us to accelerate our move toward AI-native experiences. This requires more builders who can rapidly apply AI and emerging technologies to solve our customers&rsquo; problems.
 
 
 Join the Virtual Expert Platform team, the driving force behind Intuit's expert service, sales, and workforce management (and other Operations Research topics), generating billions in revenue.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Practices leadership and communication skills to influence teams and to evangelize AI science across the organization
 </li>
 <li>
 Collaborates with stakeholders to define success criteria and align ML model metrics with business goals. Works side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products
 </li>
 <li>
 Leads technical work of a scrum team: initiating and designing model solutions, driving end-to-end architecture designs of the team&rsquo;s work, and holding the team accountable for high quality code, git, design, costs and implementation standards
 </li>
 <li>
 Performs hands-on data analysis and modeling with large data sets, including discovering data sources, getting data access, cleaning up data, and making them &ldquo;model-ready&rdquo;. You need to be willing and able to do your own ETL and design/build featurization.
 </li>
 <li>
 Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.
 </li>
 <li>
 Runs A/B tests to draw conclusions on the impact of your team&rsquo;s work and communicates results to peers and leaders
 </li>
 <li>
 Communicates with partners to ensure successful delivery and integration of DS solutions.
 </li>
 <li>
 Proactively researches, explores, and enables new AI/ML technologies. Keeps up with the new developments in academia and industry and considers possible extensions to solve Intuit customer problems.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 MS or PhD in an appropriate technology field (Computer Science, Statistics, Applied Math, Operations Research, etc.).
 </li>
 <li>
 2+ years of experience with data science for PhD and 5+ years for Masters.
 </li>
 <li>
 Experience in modern advanced analytical tools and programming languages such as R or Python with scikit-learn.
 </li>
 <li>
 Efficient in SQL, Hive, or SparkSQL, etc.
 </li>
 <li>
 Comfortable in Linux environment
 </li>
 <li>
 Experience in data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, anomaly detection, recommender systems, sequential pattern discovery, and text mining.
 </li>
 <li>
 Solid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences
 
 
 </li>
 </ul>
 Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit&reg;: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.
</div>

Senior AI Scientist

<div>
 
 Overview
 
 
 
 Intuit is seeking a Sr Data Scientist to join our Data sciences in Intuit India.
 
 
 The AI team develops game changing technologies and experiments that redefine and disrupt our current product offerings. You&rsquo;ll be building and prototyping algorithms and applications on top of the collective financial data of 100 million consumers and small businesses. Applications will span multiple business lines, including personal finance, small business accounting, and tax.
 
 
 You thrive on ambiguity and will enjoy the frequent pivoting that&rsquo;s part of the exploration. Your team will be very small and team members frequently wear multiple hats.
 
 
 In this position you will have close collaboration with the engineering and design teams, as well as the product and data teams in business units. Your role will range from research experimentalist to technology innovator to consultative business facilitator. You must be comfortable partnering with those directly involved with big data infrastructure, software, and data warehousing, as well as product management.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Perform hands-on data analysis and modeling with huge data sets.
 </li>
 <li>
 Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms.
 </li>
 <li>
 Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products.
 </li>
 <li>
 Discover data sources, get access to them, import them, clean them up, and make them &ldquo;model-ready&rdquo;. You need to be willing and able to do your own ETL.
 </li>
 <li>
 Create and refine features from the underlying data. You&rsquo;ll enjoy developing just enough subject matter expertise to have an intuition about what features might make your model perform better, and then you&rsquo;ll lather, rinse and repeat.
 </li>
 <li>
 Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders.
 </li>
 <li>
 Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 MS or PhD in an appropriate technology field (Computer Science, Statistics, Applied Math, Operations Research, etc.).
 </li>
 <li>
 2+ years of experience with data science for PhD and 5+ years for Masters.
 </li>
 <li>
 Experience in modern advanced analytical tools and programming languages such as R or Python with scikit-learn.
 </li>
 <li>
 Efficient in SQL, Hive, or SparkSQL, etc.
 </li>
 <li>
 Comfortable in Linux environment
 </li>
 <li>
 Experience in data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, anomaly detection, recommender systems, sequential pattern discovery, and text mining.
 </li>
 <li>
 Solid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences
 
 
 </li>
 </ul>
 
 Preferred Additional Experience
 
 
 
 <ul>
 <li>
 Apache Spark
 </li>
 <li>
 The Hadoop ecosystem
 </li>
 <li>
 Java
 </li>
 <li>
 HP Vertica
 </li>
 <li>
 TensorFlow, reinforcement learning
 </li>
 <li>
 Ensemble Methods, Deep Learning, and other topics in the Machine Learning community
 </li>
 <li>
 Familiarity with GenAI and other LLM and DL methods
 
 
 </li>
 </ul>
 Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit&reg;: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:
</div>

CareerXperts Consulting

<div>
 
 
 About the Role
 
 
 
 
 
 
 Identify, engage, and hire top-tier AI talent with CareerXperts Consulting. You&rsquo;ll work on high-impact roles across
 
 AI, ML, Data Science, LLMs, MLOps, and frontier-tech
 
 , partnering closely with fast-growing startups and global engineering teams.
 
 
 If you&rsquo;re a tech-savvy recruiter with 2 to 5 years of experience and a strong curiosity for AI, emerging tools, and deep-tech problem-solving, this role is built for you.
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 
 
 
 <ul>
 <li>
 Source, evaluate, and close exceptional talent across AI, ML, LLMs, Data, MLOps, and Research roles.
 </li>
 <li>
 Own the full hiring lifecycle from outreach and screening to candidate management and closing.
 </li>
 <li>
 Partner directly with founders, CTOs, and engineering leaders to decode complex mandates.
 </li>
 <li>
 Build deep and meaningful candidate relationships while maintaining a consistent experience.
 </li>
 <li>
 Draft precise job descriptions that reflect actual technical expectations.
 </li>
 <li>
 Use AI-powered sourcing and screening tools to boost efficiency and quality.
 </li>
 <li>
 Track funnel metrics and drive improvements across sourcing, qualification, and conversion.
 </li>
 <li>
 Stay updated on trends in GenAI, model engineering, data infra, and scaling systems.
 </li>
 </ul>
 
 
 
 
 
 Who You Are
 
 
 
 
 
 <ul>
 <li>
 2 to 5 years of experience in tech recruitment (experience hiring AI talent is a strong plus).
 </li>
 <li>
 Strong understanding of roles like ML Engineer, Applied Scientist, LLM Engineer, Research Engineer, Data Scientist, MLOps Engineer, and more.
 </li>
 <li>
 Ability to converse intelligently with technical candidates about models, data pipelines, and engineering frameworks.
 </li>
 <li>
 Curiosity-driven mindset with an interest in AI tools, research developments, and emerging technologies.
 </li>
 <li>
 Strong communication skills and the ability to evaluate both skill and intent.
 </li>
 <li>
 Comfortable working in a high-ownership, fast-paced environment.
 </li>
 <li>
 Based in Bengaluru or currently residing in Bengaluru (preferred).
 </li>
 </ul>
 
 
 
 
 
 Why Join CareerXperts
 
 
 
 
 
 <ul>
 <li>
 Work closely with AI-first startups, deep-tech ventures, and global product teams.
 </li>
 <li>
 Build expertise in niche technical hiring across advanced AI roles.
 </li>
 <li>
 High-impact work where every successful hire moves a company forward.
 </li>
 <li>
 Learn directly from senior recruiters and founders who have closed some of the toughest mandates in the ecosystem.
 </li>
 <li>
 Growth-oriented, performance-driven culture.
 </li>
 </ul>
 
 
</div>

AI & Deep-Tech Recruiter - Scaling Startup Teams

PwC India

<div>
 
 
 Line of Service
 
 
 Advisory
 
 
 
 
 Industry/Sector
 
 
 Not Applicable
 
 
 
 
 Specialism
 
 
 Data, Analytics &amp; AI
 
 
 
 
 Management Level
 
 
 Senior Associate
 
 
 
 
 Job Description &amp; Summary
 
 
 At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
 
 
 Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation.
 
 
 
 
 *Why PWC
 
 
 
 
 At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for&nbsp;our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for&nbsp;each other. Learn more
 
 &nbsp;
 
 
 
 
 about us
 
 
 
 .
 
 
 
 At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm&rsquo;s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. "
 
 
 Job Description &amp; Summary: A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.
 
 
 Responsibilities:
 
 
 Data Scientist (AI/ML) / Senior Associate Experience: 3- 6 Years Location: Bangalore Type: Full Time Certifications: NA About the Role: We are seeking an experienced Data Scientist (AI/ML) with over 3-6 years of experience specializing in Artificial Intelligence (AI) and Machine Learning (ML) to join our team. This is a position with hybrid work environment, providing flexibility and collaboration opportunities. The successful candidate will play a pivotal role in shaping and leading AI/ML initiatives within our organization. Key Responsibilities: &middot; Lead and manage AI/ML projects from inception to completion, ensuring alignment with business goals and timelines. &middot; Collaborate with cross-functional teams to design and implement AI/ML solutions. &middot; Drive innovation by identifying opportunities to leverage AI/ML technologies for business improvement. &middot; Establish best practices and frameworks for AI/ML development and deployment. &middot; Manage and mentor team members, fostering a culture of learning and excellence. &middot; Monitor and evaluate project performance, ensuring the delivery of high-quality results. Required Skills: &middot; At least 3+ years of total &amp; relevant experience in AI/ML or a related field. &middot; Proven track record of successfully managing AI/ML projects and teams. &middot; Strong technical expertise in AI/ML models, algorithms, and tools. &middot; Experience working in hybrid work environments is a plus. &middot; Experience with building highly scalable, secure, and fault tolerant microservices.
 
 
 Preferred Qualifications: &middot; prior experience in industries leveraging AI/ML technologies would be advantageous.
 
 
 
 Mandatory skill sets:
 
 
 &middot; AI/ML &middot; Agentic AI &middot; Machine Learning
 
 
 preferred skill sets:
 
 
 &middot; AI/ML &middot; Machine Learning
 
 
 Years of experience required:
 
 
 Experience: 3 - 6 Years
 
 
 Education qualification:
 
 
 B.Tech / M.Tech / MCA/MBA
 
 
 
 <ul>
 <li>
 
 
 
 
 
 Education
 
 
 
 
 (if blank, degree and/or field of study not specified)
 
 
 
 Degrees/Field of Study required: Master of Business Administration, Bachelor of Technology
 
 
 Degrees/Field of Study preferred:
 
 
 
 
 
 Certifications
 
 
 
 
 (if blank, certifications not specified)
 
 
 
 
 
 
 Required Skills
 
 
 Machine Learning Algorithms
 
 
 
 
 Optional Skills
 
 
 Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, Analytical Thinking, C++ Programming Language, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Learning Agility, Machine Learning (ML) {+ 25 more}
 
 
 
 
 
 Desired Languages
 
 
 
 
 (If blank, desired languages not specified)
 
 
 
 
 
 
 Travel Requirements
 
 
 Not Specified
 
 
 
 
 Available for Work Visa Sponsorship?
 
 
 No
 
 
 
 
 Government Clearance Required?
 
 
 No
 
 
 
 
 Job Posting End Date
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 </li>
 </ul>
 
 
 
 
 
</div>

IN_Senior Associate_ Data Scientist (AI/ML) __ Data & Analytics _ Advisory _Bangalore

Syngene International Limited

<div>
 Date: 28 Nov 2025
 
 
 Location:
 
 
 Bangalore, KA, IN, 560099
 
 
 Division: Dedicated Centre
 
 
 
 Research Investigator: Translational Bioinformatics &amp; Disease Biology
 
 
 
 Syngene International Ltd. / Biocon Bristol Myers Squibb Research Centre, Bangalore, India
 
 
 
 Designation
 
 : Senior Scientist / Senior Research Investigator
 
 
 
 Department
 
 : Translational Medicine &ndash; Translational Development (Informatics)
 
 
 
 Location
 
 : Bangalore, India
 
 
 
 Job Purpose
 
 
 
 We are seeking a motivated, innovative PhD-level (or equivalent) Senior Scientist to join our Translational Medicine team at the Bristol Myers Squibb Biocon Research Center at Biocon Park, Bangalore. This pivotal role integrates advanced bioinformatics and computational biology with inputs from laboratory-based translational research to drive insights across multiple therapeutic areas including oncology, immunology, hematology and neuroscience. The successful candidate will coordinate cross-functional teams across scientific programmes or clinical datasets and apply multi-omics and AI/ML methodologies to accelerate the development of new therapies and inform strategic clinical decisions.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, execute, and oversee bioinformatics strategies for preclinical and clinical translational studies in oncology, immunology, hematology, neuroscience and related disease domains.
 </li>
 <li>
 Integrate and analyze high-dimensional multi-omics datasets (WES/WGS, bulk and single-cell RNA-seq, ATAC-seq, spatial transcriptomics, proteomics, flow cytometry) to discover biomarkers, understand disease mechanisms, and support patient selection and drug development strategies.
 </li>
 <li>
 Develop and implement machine learning and artificial intelligence approaches for predictive modelling, feature selection, and data integration across modalities.
 </li>
 <li>
 Collaborate with biomarker scientists, clinical teams, and research centers to shape development strategies, clinical trial hypotheses, and target prioritization based on patient-level and real-world datasets.
 </li>
 <li>
 Establish and communicate best practices for NGS QC workflows; ensure reproducibility and scalability of analytical pipelines using tools such as samtools, picard, and R/Bioconductor.
 </li>
 <li>
 Support experimental design and data generation to advance translational strategies, including mechanism-of-action studies, combination rationale, resistance mechanisms, and differentiation from standard of care.
 </li>
 <li>
 Contribute to preclinical collaborations, reporting findings in written study reports and presentations for internal stakeholders, regulatory submissions, and external scientific audiences.
 </li>
 <li>
 Forecast and troubleshoot technical or experimental challenges, devising strategic solutions to ensure the success of current and future projects.
 </li>
 <li>
 Maintain a strong publication record and proactively apply insights from published literature to solve scientific problems and interpret complex study data.
 
 
 </li>
 </ul>
 
 Educational &amp; Experience Requirements
 
 
 
 <ul>
 <li>
 Ph.D. in Bioinformatics, Computational Biology, Genetics, Engineering, with exposure to Cancer Biology, Immunology, or a related field; M.Sc./M. Tech./M. Engg. candidates with 3+ years&rsquo; relevant experience may be considered.
 </li>
 <li>
 Minimally 2+ years&rsquo; relevant postdoctoral or industry experience in informatics, ideally within oncology, immunology, hematology and/or neuroscience drug development is required for senior positions.
 
 
 </li>
 </ul>
 
 Technical &amp; Professional Skills
 
 
 
 <ul>
 <li>
 Extensive hands-on experience with RNASeq, DNASeq workflows, and common NGS tools (samtools, picard, etc.).
 </li>
 <li>
 Demonstrated expertise in high-throughput molecular data analysis, single-cell technologies, proteomics, and flow cytometry.
 </li>
 <li>
 Advanced programming skills in R and/or Python (or ability to verify code from agentic tools), including proficiency with ggplot2 and other graphing solutions; experience with Linux-based HPC environments, AWS cloud computing, and reproducible research practices.
 </li>
 <li>
 Strong background in machine learning and artificial intelligence, especially for -omics data integration, predictive modelling, and deep learning applications.
 </li>
 <li>
 Solid foundation in statistics, experimental design, and data interpretation.
 </li>
 <li>
 Laboratory proficiency/core awareness: cell culture, primary cell isolation, cell transfection, gene expression or mutation analysis (RNA or DNA sequencing), epigenomic assays (ATAC-seq, ChIP-seq), protein assays/immunoassays, and cell phenotyping.
 </li>
 <li>
 Excellent communication, managerial, and relationship-building skills; ability to interact effectively across functional, organizational, and geographic boundaries.
 </li>
 <li>
 Strong problem-solving ability, scientific rigor, creativity, and a track record of successful collaboration and independent leadership in a fast-paced environment.
 
 
 </li>
 </ul>
 
 Behavioural Skills
 
 
 
 <ul>
 <li>
 Strong commitment, enthusiasm, and motivation towards work.
 </li>
 <li>
 Excellent speaking, listening, and writing skills; attention to detail; proactive and self-driven.
 
 
 </li>
 </ul>
 
 About Syngene
 
 
 
 Syngene International Ltd. is a globally renowned, innovation-driven organization offering integrated scientific solutions to the pharmaceutical, biotechnology, nutrition, animal health, consumer goods, and specialty chemical sectors. With a diverse team of over 4,000 scientists, Syngene partners with leading global organizations, including Bristol-Myers Squibb, Baxter, Amgen, GSK, Merck KGaA, and Herbalife, to address complex scientific challenges, enhance R&amp;D productivity, accelerate time-to-market, and reduce the cost of innovation.
 
 
 Equal Opportunity Statement
 
 
 Syngene is an equal opportunity employer. We welcome and encourage applications from all qualified candidates regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by applicable legislation or local law. Reasonable accommodations will be provided for qualified individuals with disabilities.
 
 
 Application Instructions
 
 
 Interested candidates are invited to submit their CV and cover letter outlining relevant experience and motivation for the role to the recruitment portal or HR contact listed on the Syngene careers website.
</div>

Research Investigator

Microsoft

<div>
 
 Overview
 
 
 
 The Microsoft Teams Mobile team is reimagining how individuals and organizations collaborate on-the-go, enabling seamless, intelligent communication from any device, anywhere. As we bring next-generation AI into the mobile productivity experience, we&rsquo;re looking for a
 
 Senior Applied Scientist
 
 to lead the integration and evaluation of Large Language Models (LLMs), SLMs and AI-Native use cases into our mobile-first scenarios.
 
 
 In this role, you'll drive innovation at the intersection of AI, user interaction, and mobile UX, influencing key aspects of LLM evaluation, prompt engineering, cost-optimized finetuning, and responsible AI (RAI) deployment in a mobile context. You&rsquo;ll collaborate across engineering, product, design, and research to ensure our AI-powered mobile experiences are fast, trustworthy, helpful, and delightful.
 
 
 This role offers the opportunity to shape how millions of users experience AI-enhanced productivity on their phones &mdash; from real-time meeting summaries to intelligent message replies and mobile agentic workflows.
 
 
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 AI Strategy &amp; Leadership
 </li>
 <ul>
 <li>
 Develop and execute the strategy for LLM evaluation and finetuning for mobile scenarios, balancing quality, cost, speed, and power/resource constraints.
 </li>
 <li>
 Champion the use of SLMs and custom-tuned models to deliver efficient and reliable performance on mobile devices.
 
 </li>
 </ul>
 </ul>
 LLM &amp; Prompt Evaluation
 
 
 <ul>
 <li>
 Design and lead experiments that assess the performance, effectiveness, and safety of language models and prompts in mobile contexts.
 </li>
 <li>
 Leverage synthetic and user-generated data to continuously improve prompt quality and user experience.
 
 
 </li>
 </ul>
 Mobile-Centric AI Experiences
 
 
 <ul>
 <li>
 Partner with UX, product, and engineering teams to optimize AI workflows for mobile-specific use cases (e.g., on-device summarization, smart notifications, multimodal interactions).
 </li>
 <li>
 Translate complex scientific insights into product features that enhance real-time communication and collaboration on mobile.
 
 
 </li>
 </ul>
 Program Management &amp; Infrastructure
 
 
 <ul>
 <li>
 Own and evolve the end-to-end evaluation pipeline, ensuring seamless integration with product development cycles.
 </li>
 <li>
 Develop robust measurement frameworks and dashboards to report on LLM performance, user utility, and business impact.
 
 
 </li>
 </ul>
 Responsible AI
 
 
 <ul>
 <li>
 Apply Microsoft&rsquo;s Responsible AI principles to ensure the AI in Teams Mobile is safe, inclusive, transparent, and accountable.
 </li>
 <li>
 Proactively identify and mitigate bias, hallucinations, and privacy risks, especially in mobile-centric experiences.
 
 
 </li>
 </ul>
 Cross-Team Collaboration &amp; Thought Leadership
 
 
 <ul>
 <li>
 Drive alignment across Microsoft Teams, M365 Copilot, Azure OpenAI, and research partners.
 </li>
 <li>
 Contribute to internal and external research in LLM evaluation, mobile UX, and agentic AI, including publications, white papers, or patents.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics predictive analytics, research)
 </li>
 <ul>
 <li>
 OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
 </li>
 <li>
 OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ year(s) related experience (e.g., statistics, predictive analytics, research)
 </li>
 <li>
 OR equivalent experience.
 </li>
 </ul>
 <li>
 Proven experience applying machine learning and LLMs to real-world product scenarios.
 </li>
 <li>
 Deep expertise in:
 </li>
 <ul>
 <li>
 Prompt engineering.
 </li>
 <li>
 Finetuning and SLM optimization.
 </li>
 <li>
 Evaluation frameworks for LLM quality, utility, latency, and cost.
 </li>
 <li>
 RAG, agentic workflows, and multi-turn dialogue systems.
 </li>
 </ul>
 <li>
 Solid development skills in Python and hands-on experience building ML/AI pipelines.
 </li>
 <li>
 Experience leading complex, cross-functional technical programs or research initiatives.
 </li>
 <li>
 Strong analytical, problem-solving, and communication skills.
 </li>
 <li>
 Demonstrated understanding of Responsible AI principles, especially in privacy-constrained or mobile environments.
 
 </li>
 </ul>
 
 Other Requirements
 
 
 
 Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
 
 
 <ul>
 <li>
 Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Ph.D. or Master&rsquo;s in a relevant field (e.g., Computer Science, Machine Learning, Data Science, HCI).
 
 
 </li>
 </ul>
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
</div>

Senior Applied Scientist

Definitive Healthcare

<div>
 Analytical Wizards is part of the Definitive Healthcare family. We balance innovation with an open, friendly culture and the backing of a long-established parent company, known for its ethical reputation. We guide customers from what&rsquo;s now to what&rsquo;s next by unlocking the value of their data and applications to solve their challenges, achieving outcomes that benefit both business and society. Our people are our biggest asset, they drive our innovation advantage and we strive to offer a flexible and collaborative workplace where they can thrive. We offer industry-leading benefits packages to promote a creative and inclusive culture. If driving real change gives you a sense of pride and you are passionate about powering social good, we&rsquo;d love to hear from you.
 
 
 
 Role
 
 : Data Scientist / Senior Data Scientist
 
 
 
 Reports to
 
 : Associate Principal / Principal
 
 
 
 Profession
 
 : Data Science
 
 
 
 Office Location
 
 : Bangalore
 
 
 
 Job Description
 
 
 
 This position requires strong coding skills and experience in data handling and wrangling using Python. The candidate will work hands-on with projects in areas such as advanced analytics, generating reports and metrics from large, complex datasets, and solution workbenches. The role involves using a wide range of quantitative and analytical techniques to support clients in improving their business decisions.
 
 
 Additionally, the candidate will be involved in sales and marketing projects, including multi-channel marketing effectiveness, campaign performance analysis, marketing mix modeling, attribution, conversion rate optimization, segmentation, response modeling, and designing experiments (test/control analysis).
 
 
 The ideal candidate should have the ability to understand business contexts and apply relevant statistical and AI/ML tools and techniques to assigned projects. They should also have a keen aptitude for deriving insights from data, a willingness to learn data-handling tools and methods, and an openness to working within the healthcare domain. Familiarity with, or the ability to quickly learn, quantitative and analytical techniques to aid client decision-making is essential.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Expertise in custom projects focused on prescription and claims-based reporting and modeling using
 </li>
 <li>
 Partner with the Product and Customer Success teams to deliver informed analyses to customers.
 </li>
 <li>
 Create deliverables to assist with customer engagements.
 </li>
 <li>
 Collaborate with fellow team members to implement optimized solutions.
 </li>
 <li>
 Contribute to internal projects and processes.
 </li>
 <li>
 Collaborate with global team to create deliverables.
 </li>
 <li>
 Mentor junior analysts and help drive best practices.
 </li>
 <li>
 Independently scope client requests
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Data Experts with approximately 2 - 5 years of experience specializing in Python
 </li>
 <li>
 Educational background in Engineering, Operations Research, Econometrics and/or Statistics
 </li>
 <li>
 Hands-on experience with Python is mandatory.
 </li>
 <li>
 Must possess good interpersonal skills along with excellent presentation and communication skills.
 </li>
 <li>
 Proficient in Microsoft Excel and SQL.
 </li>
 <li>
 Ability to work with large data, think out of the box, assess current processes and offer ideas for improvement.
 </li>
 <li>
 Knowledge of Pharma datasets is good to have.
 
 
 </li>
 </ul>
 
 ISMS Responsibilities
 
 
 
 <ul>
 <li>
 Comply with information security policies and processes
 </li>
 <li>
 Report security weaknesses, events or potential events, or other security risks, to the organization
 </li>
 <li>
 Execute all tasks related to information security management system as appropriate
 
 
 </li>
 </ul>
 
 Why we love Analytical Wizards, and why you will too!
 
 
 
 <ul>
 <li>
 Industry leading products
 </li>
 <li>
 Work hard, and have fun doing it
 </li>
 <li>
 Incredibly fast growth means limitless opportunity
 </li>
 <li>
 Flexible and dynamic culture
 </li>
 <li>
 Work alongside some of the most talented and dedicated teammates
 </li>
 <li>
 A collaborative and friendly culture with very high employee engagement
 
 
 </li>
 </ul>
 
 About Company
 
 
 
 <ul>
 <li>
 Company Name: AnalyticalWizards Services Pvt. Ltd.
 </li>
 <li>
 Profile: A leading, high growth Analytics Software Development company developing products that touch and positively impact human lives across the globe. We are headquartered in New Jersey and have a software development and delivery center in Bangalore. Our work is mainly focused on Healthcare Industry. We develop core data science products that help our clients draw unique insights from their big data and achieve their business goals. We use advanced algorithms in the space of artificial intelligence and machine learning. Our technology-based software products are being used by the top pharma and biotechnology companies of the world. We have been recognized twice as one of fastest growing private companies of USA.
 </li>
 <li>
 Work Culture: Employee-friendly, collaborative, innovative, fast-paced, and conducive to learning
 </li>
 <li>
 Company Address: AnalyticalWizards Services Private Limited, Fortune Summit Business Park, Ground Floor, Hosur Road, Sector 6, HSR Layout, Roopena Agrahara, Bangalore - 560068
 </li>
 <li>
 Industry: Software Development and Data Science
 </li>
 </ul>
</div>

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