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associate scientist (analytical team – sarc pd)

senior applied scientist

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

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

Ceres Environmental Services, Inc.

<div>
 
 
 About Ceres India
 
 
 
 Ceres India (Ceres Environmental India Pvt. Ltd.) serves as the Global Capabilities Centre for
 
 Ceres Global
 
 , embodying strategic value, innovation, and operational excellence. With a highly skilled and diverse team, Ceres India drives efficiency and delivers exceptional support services across global operations
 
 
 
 
 
 
 Driven by Purpose, Powered by People
 
 
 
 At Ceres India, you&rsquo;re more than just an employee your part of a mission-driven team helping communities recover and rebuild after disasters. We value initiative, diversity, and ownership. You&rsquo;ll find opportunities for growth, travel, and impact in a culture that thrives on teamwork and resilience.
 
 
 
 
 
 
 What We Are Looking For
 
 
 
 We are seeking an experienced
 
 Data Scientist
 
 to drive data-driven decision-making for our bids, operations, and financial modelling functions.
 
 
 You will leverage advanced analytics and predictive modelling to help Ceres management optimize bid pricing, operational productivity, and margin forecasting by analysing large volumes of historical and operational data.
 
 
 This is a
 
 hands-on, high-impact role
 
 interfacing with global stakeholders, particularly in
 
 pricing strategy, operational forecasting, and business performance analytics
 
 .
 
 
 
 Key Analytical Focus Areas:
 
 
 <ul>
 <li>
 
 Bid Win Model:
 
 Develop predictive models estimating win probability by client, region, scope, and competitor profile.
 </li>
 <li>
 
 Pricing Engine:
 
 Build elasticity-based pricing guidance to support competitive bid decisions.
 </li>
 <li>
 
 Operations Forecasting:
 
 Model production rates by debris type, weather, crew mix, and logistics routes.
 </li>
 <li>
 
 Margin Forecast:
 
 Create financial simulation models to assess cost drivers and scenario outcomes.
 </li>
 <li>
 
 MLOps Foundation:
 
 Implement automated retraining, monitoring, and governance frameworks for deployed models.
 </li>
 </ul>
 
 
 
 
 
 What You Will Do
 
 
 <ul>
 <li>
 Design and develop
 
 data models, pipelines, and predictive systems
 
 using Python and SQL across multiple data sources (Salesforce, ERP, GIS, and weather data).
 </li>
 <li>
 Conduct
 
 feature engineering
 
 on operational and geospatial datasets.
 </li>
 <li>
 Build, validate, and deploy models for:
 </li>
 <li>
 Classification (Win/Loss predictions)
 </li>
 <li>
 Regression (Price and cost forecasts)
 </li>
 <li>
 Time Series (Throughput and demand projections)
 </li>
 <li>
 Optimization (Crew and equipment routing, shift planning)
 </li>
 <li>
 Evaluate models using
 
 AUC, RMSE, MAE, and uplift
 
 metrics.
 </li>
 <li>
 Deploy models into dashboards or applications (Power BI, Salesforce, Google Sheets).
 </li>
 <li>
 Present
 
 actionable insights
 
 and executive narratives to senior management.
 </li>
 <li>
 Maintain
 
 reproducibility and governance
 
 through version control and auditability.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications
 
 
 <ul>
 <li>
 Postgraduate degree in
 
 Data Science, Statistics, Applied Mathematics, Engineering, Operations Research
 
 , or related fields (IITs, NITs, IIITs, ISI, or Tier-1 universities preferred).
 </li>
 <li>
 
 7&ndash;12 years
 
 of applied data science experience in pricing, forecasting, or financial modelling.
 </li>
 <li>
 Proficiency in
 
 Python
 
 (pandas, scikit-learn, stats models, XGBoost/LightGBM) and
 
 SQL
 
 .
 </li>
 <li>
 Hands-on experience building
 
 data pipelines
 
 (Airflow, DBT).
 </li>
 <li>
 Exposure to
 
 geospatial analytics
 
 (GeoPandas, ArcGIS, QGIS) and weather data.
 </li>
 <li>
 Understanding of
 
 A/B testing
 
 , causal inference, and experiment design.
 </li>
 <li>
 Familiarity with
 
 MLOps
 
 frameworks for model versioning and monitoring.
 </li>
 <li>
 Excellent communication and storytelling skills.
 </li>
 </ul>
 
 
 
 
 
 What to Expect
 
 
 
 You&rsquo;ll work in a
 
 dynamic, data-driven environment
 
 , collaborating with U.S. stakeholders on real-world analytics problems that shape pricing and operations strategy. Expect exposure to
 
 large-scale operational data
 
 ,
 
 rapid prototyping of models
 
 , and opportunities to
 
 own analytics products end-to-end
 
 from concept to deployment.
 
 
 
 
 
 
 Why Join Ceres India?
 
 
 
 At Ceres India, you won&rsquo;t just have a job &mdash;
 
 you&rsquo;ll have a mission.
 
 
 
 Your work directly impacts the speed and strength of community recovery after disasters.
 
 
 We offer:
 
 <ul>
 <li>
 A
 
 collaborative, mission-driven culture
 
 .
 </li>
 <li>
 
 Opportunities for professional growth and advancement.
 
 </li>
 <li>
 The
 
 chance to make a lasting difference
 
 for communities worldwide.
 </li>
 </ul>
 
 
</div>

Data Scientist – Operations & Financial Modelling

<div>
 
 Overview
 
 
 
 We are seeking a passionate and technically skilled Data Scientist II to join the Commerce &ndash; Platforms, Data, and Experiences (PDX) team. This team plays a pivotal role in shaping Microsoft&rsquo;s commerce data strategy, building scalable data platforms, and delivering actionable ML driven insights that drive business transformation across the ecosystem.
 
 
 As a Data Scientist II in PDX, you will work at the intersection of data engineering, data processing, and machine learning to solve complex business problems. You will collaborate with cross-functional teams to design experiments, build predictive models, and develop scalable solutions that enhance decision-making and customer experiences by producing descriptive, diagnostic, predictive and prescriptive insights.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design and implement advanced analytics solutions to support commerce data platform initiatives including analytics based on Machine Learning Models.
 </li>
 <li>
 Partner with engineering and product teams to define data requirements and ensure high-quality data pipelines.
 </li>
 <li>
 Conduct exploratory data analysis, feature engineering, and model evaluation using structured and unstructured datasets.
 </li>
 <li>
 Ensure the models built are operable, scalable, extensible and performant.
 </li>
 <li>
 Develop dashboards, visualizations, and storytelling artifacts to communicate insights to stakeholders.
 </li>
 <li>
 Lead experimentation efforts to evaluate new features, forecasting, data quality and anomaly detection systems.
 </li>
 <li>
 Build extensible solutions on LLM models to improve productivity of engineers across the commerce organization.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Statistics, Mathematics, or related field.
 </li>
 <li>
 2+ years of experience in data science, analytics, or applied machine learning.
 </li>
 <li>
 Proficiency in Python, SQL, and ML frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
 </li>
 <li>
 Experience with cloud platforms (Azure preferred) and big data technologies.
 </li>
 <li>
 Strong understanding of statistical modeling, predictive analytics, and experimentation design.
 </li>
 <li>
 Excellent communication and stakeholder management skills.
 </li>
 <li>
 Demonstrated experience leveraging AI tools and technologies to enhance engineering effectiveness, coupled with a strong curiosity and commitment to continuous learning in the field of Artificial Intelligence.
 
 
 </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>

Data Science Engineer

Amazon

<div>
 
 Description
 
 
 
 Amazon&rsquo;s Last Mile Team is looking for a passionate individual with strong machine learning and GenAI engineering skills to join its Last Mile Science team in the endeavor of designing and improving the most complex planning of delivery network in the world.
 
 
 Last Mile builds global solutions that enable Amazon to attract an elastic supply of drivers, companies, and assets needed to deliver Amazon's and other shippers' volumes at the lowest cost and with the best customer delivery experience. Last Mile Science team owns the core decision models in the space of jurisdiction planning, delivery channel and modes network design, capacity planning for on the road and at delivery stations, routing inputs estimation and optimization. Our research has direct impact on customer experience, driver and station associate experience, Delivery Service Partner (DSP)&rsquo;s success and the sustainable growth of Amazon.
 
 
 Optimizing the last mile delivery requires deep understanding of transportation, supply chain management, pricing strategies and forecasting. Only through innovative and strategic thinking, we will make the right capital investments in technology, assets and infrastructures that allows for long-term success. Our team members have an opportunity to be on the forefront of supply chain thought leadership by working on some of the most difficult problems in the industry with some of the best product managers, scientists, and software engineers in the industry.
 
 
 Key job responsibilities
 
 
 Candidates will be responsible for developing solutions to better manage and optimize delivery capacity in the last mile network. The successful candidate should have solid research experience in one or more technical areas of Machine Learning or Large Language Models. These positions will focus on identifying and analyzing opportunities to improve existing algorithms and also on optimizing the system policies across the management of external delivery service providers and internal planning strategies. They require superior logical thinkers who are able to quickly approach large ambiguous problems, turn high-level business requirements into mathematical models, identify the right solution approach, and contribute to the software development for production systems. To support their proposals, candidates should be able to independently mine and analyze data, and be able to use any necessary programming and statistical analysis software to do so. Successful candidates must thrive in fast-paced environments, which encourage collaborative and creative problem solving, be able to measure and estimate risks, constructively critique peer research, and align research focuses with the Amazon's strategic needs.
 
 
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 2+ years of data scientist experience
 </li>
 <li>
 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
 </li>
 <li>
 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
 </li>
 <li>
 Experience applying theoretical models in an applied environment
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience in Python, Perl, or another scripting language
 </li>
 <li>
 Experience in a ML or data scientist role with a large technology company
 
 
 </li>
 </ul>
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - ADCI - Karnataka
 
 
 Job ID: A3108909
</div>

Date Scientist II, Last Mile

<div>
 Requisition Id: 1651171
 
 
 As a global leader in assurance, tax, transaction and advisory services, we hire and develop the most passionate people in their field to help build a better working world. This starts with a culture that believes in giving you the training, opportunities and creative freedom. At EY, we don't just focus on who you are now, but who you can become. We believe that it&rsquo;s your career and &lsquo;It&rsquo;s yours to build&rsquo; which means potential here is limitless and we'll provide you with motivating and fulfilling experiences throughout your career to help you on the path to becoming your best professional self.
 
 
 
 The opportunity
 
 : Associate Director-NAT-Markets-CBS - MKT - Digital Products &amp; Solutions - Bangalore
 
 
 
 CBS - MKT - Digital Products &amp; Solutions :
 
 
 
 Our Markets team focuses on providing account teams with the support they need to help drive revenue growth. Our "account-centric" approach to serving clients starts with knowing about their business and providing tools and enablers to provide consistency on how we identify and align our services and solutions to our clients' most pressing issues. We deliver services through one or more of our four global service lines: Assurance, Consulting, Strategy and Transactions and Tax. Our Markets team comprises of Executive Management, Business Development and Brand Media &amp; Communication (BMC).
 
 
 By following EY methodologies, executing on guidance, and leveraging tools and judicious programs, we bring the necessary rigor to our engagements. And by accessing our latest EY insights, solutions and client conversation tools, we have more meaningful conversations with our clients to help shape their thinking and generate additional value creation.
 
 
 We assist the executive management in overseeing the firm&rsquo;s operations. Key responsibilities includes:
 
 
 <ul>
 <li>
 Liaising with internal stakeholders to identify priority areas, growth driver solutions, review account plans and to drive growth and market enablement initiatives
 </li>
 <li>
 Conceptualising and implementing firm-wide market campaigns to link and align PAN India teams on focus solutions, growth opportunities, etc
 </li>
 <li>
 Monitoring firm revenue and pipeline and facilitating management review
 </li>
 <li>
 Preparing GTM materials for the firm
 </li>
 <li>
 Preparing reports for management review
 
 
 </li>
 </ul>
 
 Your Key Responsibilities
 
 
 
 
 Technical Excellence
 
 
 
 The Senior Data Scientist will lead the design, development, and deployment of advanced analytics and AI models across EY&rsquo;s product and platform ecosystem. This role requires a strong mix of hands-on modeling skills, applied AI knowledge, and product thinking to deliver real business impact through data. The role will partner closely with product, engineering, and business teams to embed intelligence and automation within EY&rsquo;s core technology assets. Key Responsibilities: Lead development of AI and ML models for applications across risk, compliance, assurance, and advisory domains. Translate business challenges into well-defined data science problems and prototype solutions rapidly. Design, train, and evaluate predictive, generative, and optimization models using state-of-the-art techniques. Collaborate with data engineers to operationalize ML pipelines in cloud-native environments (Azure ML, AWS Sagemaker, Databricks, etc.). Contribute to design of data architecture, feature stores, and reusable model components. Work with product managers and UX teams to ensure outputs are explainable, actionable, and aligned to user needs. Stay current with advances in GenAI, NLP, and agentic systems, and pilot them within relevant EY products. Contribute to model governance, documentation, and compliance with firmwide AI ethics and security standards. Key Requirements: 8&ndash;12 years of experience in data science, AI, or applied machine learning roles, with proven experience deploying models in production. Strong foundation in statistics, machine learning, and deep learning frameworks (TensorFlow, PyTorch, Scikit-learn). Proficiency in Python and SQL; familiarity with cloud-based ML tooling (Azure ML, Databricks, AWS Sagemaker, or GCP Vertex AI). Experience working on structured and unstructured data, including text and document intelligence. Exposure to GenAI, LLM fine-tuning, or prompt-engineering frameworks preferred. Strong analytical mindset, communication skills, and ability to translate business objectives into technical design. Advanced degree (Master&rsquo;s or PhD) in Computer Science, Data Science, Mathematics, or related field preferred. Why EY: At EY, data science is central to building intelligent, trustworthy, and scalable products. This role offers the opportunity to apply advanced AI and analytics to solve high-impact business problems &mdash; shaping the future of digital, data-driven client service delivery.
 
 
 
 Skills And Attributes
 
 
 
 
 To qualify for the role you must have
 
 
 
 
 Qualification
 
 
 
 <ul>
 <li>
 Bachelor of Technology in Computer Science
 </li>
 <li>
 Master of Technology in Computer Science or equivalent
 </li>
 <li>
 Master of Science in Data Science
 </li>
 <li>
 PhD in Computer Science (big plus)
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 <ul>
 <li>
 Data Engineering (4+ years)
 </li>
 <li>
 Data Analysis (6+ years)
 </li>
 <li>
 Machine Learning (8+ years)
 </li>
 <li>
 Artificial Intelligence (3+ years)
 </li>
 <li>
 Natural Language Processing (2+ years)
 </li>
 <li>
 Full Stack Development (4+ years)
 
 
 </li>
 </ul>
 
 What We Look For
 
 
 
 People with the ability to work in a collaborative manner to provide services across multiple client departments while following the commercial and legal requirements. You will need a practical approach to solving issues and complex problems with the ability to deliver insightful and practical solutions. We look for people who are agile, curious, mindful and able to sustain postivie energy, while being adaptable and creative in their approach.
 
 
 
 What We Offer
 
 
 
 With more than 200,000 clients, 300,000 people globally and 33,000 people in India, EY has become the strongest brand and the most attractive employer in our field, with market-leading growth over compete. Our people work side-by-side with market-leading entrepreneurs, game- changers, disruptors and visionaries. As an organisation, we are investing more time, technology and money, than ever before in skills and learning for our people. At EY, you will have a personalized Career Journey and also the chance to tap into the resources of our career frameworks to better know about your roles, skills and opportunities.
 
 
 EY is equally committed to being an inclusive employer and we strive to achieve the right balance for our people - enabling us to deliver excellent client service whilst allowing our people to build their career as well as focus on their wellbeing.
 
 
 If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
 
 
 Join us in building a better working world. Apply now.
</div>

Associate Director - Markets - NAT - CBS - MKT - Digital Products & Solutions - Bangalore

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

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