3811 Data Science Jobs - Page 33

About the Role: Grade Level (for internal use): 11 The Team As a member of the EDO, Collection Platforms & AI Cognitive Engineering team you will work on building GenAI-driven and ML-powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global. You will define AI strategy, mentor others, and drive production-ready AI products and pipelines while leading by example in a highly engaging work environment. You will work in a (truly) global team and be encouraged for thoughtful risk-taking and self-initiative. Whats in it for you: Be a part of a global company and build solutions at enterprise scale Lead and grow a highly skilled, hands-on technical team (including mentoring junior data scientists) Contribute to solving high-complexity, high-impact problems end-to-end Architect and oversee production-ready pipelines from ideation to deployment Responsibilities: Define AI roadmap, tooling choices, and best practices for model building, prompt engineering, fine-tuning, and vector retrieval systems Architect, develop and deploy large-scale ML and GenAI-powered products and pipelines Own all stages of the data science project lifecycle, including: Identification and scoping of high-value data science and AI opportunities Partnering with business leaders, domain experts, and end-users to gather requirements and align on success metrics Evaluation, interpretation, and communication of results to executive stakeholders Lead exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ML and GenAI approaches Establish and enforce coding standards, perform code reviews, and optimize data science workflows Drive deployment, monitoring, and scaling strategies for models in production (including both ML and GenAI services) Mentor and guide junior data scientists; foster a culture of continuous learning and innovation Manage stakeholders across functions to ensure alignment and timely delivery Technical : Hands-on experience with large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning/customization, and embedding-based retrieval Expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, Hugging Face Transformers) Deep understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers), GNNs, and multimodal systems Strong grasp of statistics, probability, and the mathematics underpinning modern AI Ability to surf and synthesize current AI/ML research, with a track record of applying new methods in production Proven experience on at least one end-to-end GenAI or advanced NLP projectcustom NER, table extraction via LLMs, Q&A systems, summarization pipelines, OCR integrations, or GNN solutions Familiarity with orchestration and deployment toolsDocker, Airflow, Kubernetes, Redis, Flask/Django/FastAPI, PySpark, SQL, R-Shiny/Dash/Streamlit Openness to evaluate and adopt emerging technologies and programming languages as needed Good to have: Masters or Ph.D. in Computer Science, Statistics, Mathematics, or related field (minimum Bachelors) 6+ years of relevant experience in Data Science/AI, with at least 2 years in a leadership or technical lead role Prior experience in the Economics/Financial industry, especially with market-intelligence or risk analytics products Public contributions or demos on GitHub, Kaggle, StackOverflow, technical blogs, or publications Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority Ratings - (Strategic Workforce Planning)

About the Role: Grade Level (for internal use): 12 The Team As a leader in the EDO, Collection Platforms & AI Cognitive Engineering team, you will own the vision and delivery of enterprise-scale Data Science and GenAI solutions that power natural language understanding, data extraction, information retrieval, data sourcing, and speech-to-text services for S&P Global. You will define the data science strategy, champion best practices, mentor across functions, and drive production-ready AI/ML products from ideation through deployment. Youll work in a (truly) global team that values thoughtful risk-taking and self-initiative. Whats in it for you: Lead data science strategy and build solutions at enterprise scale Grow and mentor a world-class team of data scientists and ML engineers Solve high-complexity, high-impact problems end-to-end Define roadmaps for emerging AI capabilities (GenAI, ASR, speaker analytics) Responsibilities: Shape and execute the Data Science roadmaptooling, methodologies, and best practices for ML, GenAI, and ASR Architect, develop, and deploy large-scale ML and GenAI pipelines-including Voice Activity Detection (VAD), Speaker Diarization, and ASR models-for automated transcription services Own the full data science lifecycleopportunity identification, requirement gathering, modeling, evaluation, validation, deployment, monitoring, and optimization Lead exploratory data analysis, proof-of-concepts, benchmarking, and production model validation for both text- and speech-based AI solutions Establish and enforce coding standards, perform technical reviews, and optimize workflows for reproducibility and scalability Drive MLOps practicesCI/CD for models, feature stores, monitoring, alerting, and automated rollback strategies Mentor and develop junior and mid-level data scientists; foster a culture of continuous learning, innovation, and collaboration Partner with cross-functional stakeholders (Engineering, Product, IT, Compliance) to align on project goals, timelines, and SLAs Technical : 8+ years of hands-on experience in Data Science/AI, with at least 3 years in a senior or leadership role with strong hands on skills. Proven expertise in developing and deploying ASR systems: Training or fine-tuning end-to-end ASR models (e.g., Whisper, QuartzNet) Designing VAD pipelines for robust speech segmentation Implementing Speaker Diarization (e.g., Pyannote, UISR) and handling multi-speaker audio Optimizing transcription accuracy across accents, languages, and noisy environments Deep knowledge of large language models (OpenAI, Anthropic, Llama), prompt engineering, fine-tuning, and embedding-based retrieval Expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, Hugging Face Transformers) Strong understanding of ML & deep learning architecturesNLP transformers, GNNs, multimodal systems Solid grasp of statistics, probability, and the mathematics underpinning modern AI Track record of synthesizing cutting-edge research into production solutions Experience with orchestration and deployment toolsDocker, Kubernetes, Airflow, Redis, Flask/Django/FastAPI, PySpark, SQL, and cloud services (AWS/GCP/Azure) Openness to evaluate and adopt emerging technologies and languages as needed Good to have: Master's or Ph.D. in Computer Science, Electrical Engineering, Statistics, Mathematics, or related field Prior experience in the Economics/Financial industry, especially market-intelligence or risk analytics Public contributions on GitHub, Kaggle, StackOverflow, technical blogs, or publications Familiarity with speaker embedding techniques, speech enhancement, and noise-robust modeling Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- IFTECH103.2 - Middle Management Tier II (EEO Job Group)

About us As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up . Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasnt happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. About Team overview Roundel is Targets retail media network, delivering performance-driven advertising solutions for brands. Our Measurement team empowers advertisers and merchants with robust, privacy-safe, and scalable measurement capabilities. From attribution modeling to incrementality testing, our mission is to strengthen advertiser trust and optimize campaign performance through scientifically sound and intuitive measurement tools. Role overview As a Product Manager Measurement , you will lead the strategy and execution for a suite of capabilities that include attribution modeling, closed-loop measurement (CLM), and incrementality experimentation (e.g., Synthetic Control, Geo Testing, RCT) . You will collaborate across engineering, data science, UX, and commercial teams to design scalable solutions that power insightful, privacy-forward, and actionable media performance reporting. Your responsibilities, Own and evolve the roadmap for measurement solutions including attribution models, funnel visualization, and experimentation products like Synthetic Control and Geo Testing. Lead the expansion of CLM capabilities across owned-and-operated and offsite media channels (via clean room integrations). Enable flexible attribution frameworks (time windows, interaction types) and advanced media metrics (new buyer ROAS, unique reach). Partner with Data Science to define incrementality methodologies and validate experimental design and forecasting models. Drive development of a unified, self-service UI for experimentation and reporting tools, ensuring ease of use for non-technical users. Collaborate with engineering and analytics teams to deliver performant, privacy-safe, and low-latency measurement pipelines. Define and monitor key KPIs, product health dashboards, and reporting latency metrics to improve product delivery and adoption. Conduct discovery sprints to synthesize customer needs into product hypotheses and validate concepts early in the lifecycle. Benchmark our measurement and experimentation features against leading ad platforms and stay current with emerging industry practices. About You 48 years of product management or relevant domain experience in adtech, martech, or analytics tools. Strong understanding of attribution modeling, CLM systems, and incrementality testing methodologies (e.g., Geo Testing, RCT). Hands-on experience working with Data Science teams; comfortable with statistics and experimental design. Adept in cloud-based databases, data pipelines, and SQL; familiarity with privacy-forward data practices. Proven ability to translate complex technical concepts into intuitive product experiences for diverse users. Experience designing UI-centric, self-serve tools for internal or external users. Skilled at driving cross-functional initiatives, influencing stakeholders across engineering, UX, GTM, sales, and legal. Familiar with Agile tools, user stories, sprint planning, OKRs, and product health metrics. Strategic mindset with excellent prioritization, problem-solving, and execution skills. Useful Links Life at Target Benefits Culture

Novo Nordisk Global Business Services ( GBS) India Department – Commercial, GBSAre you passionate about leveraging data to drive business insightsDo you have experience in Commercial analytics with Artificial IntelligenceWe are looking for a talented AI Lead to join our team within the Commercial Global Business Services (GBS) unit at Novo Nordisk. If you are ready to make a difference and contribute to our mission of helping millions of people gain access to life-saving innovative solutions, then read on and apply today for a life-changing career. The position As a Global Commercial AI Excellence Lead-Data Science at Novo Nordisk, you will have the opportunity to: Drive innovation and contribute to the development of AI and advanced analytics capabilities within Portfolio Access Strategy and Pricing (PSAP). Collaborate with cross-functional teams to identify opportunities for leveraging AI and analytics to optimize forecasting, payer evidence and pricing strategies. Design and Deploy AI-powered models focused on patient segmentation, risk prediction modelling, price sensitivity and revenue optimization algorithms, new product & inline product forecasting. Build user centric tools or apps using Business Intelligence (BI) technologies to communicate the insights and drive usage across commercial teams. Collaborate with Business Intelligence team and Data Engineering team to provide inputs to drive the development and maintenance of a robust data foundation within PSAP. Qualifications University master’s degree in Biostatistics, Mathematics, Economics, Engineering, Computer Science, Information Technology, Life Sciences or equivalent. Master’s degree/ bachelor’s with Minimum 6 years of experience in data science, preferably within FMCG, banking/insurance, pharma or consultancy. Documented experience with data science and Machine learning applications. Experience in programming languages such as Python, SQL, R etc. PySpark, BigData (Hadoop etc.) and advanced analytical tools such as PowerBI or Tableau, ML OPS (Azure or elsewhere) will be preferred. Specialized on forecasting techniques such as Time Series like ARIMA, ARIMAX, Prophet, XGBoost (other GBM techniques), Monte Carlo simulation, Segmentation and Prediction techniques such as Regression, Support Vector Machines, Clustering, Decision trees, Random forests, preferred (ANN, CNN, Deep Neutral Networks) will be preferred. Experience leveraging (Gen)AI and other latest large language models. About the department The Commercial, Global Business Services (GBS) unit is responsible for driving deliverables for multiple Corporate Vice President (CVP) areas within Commercial & Corporate Affairs, including Insulin, GLP-1 and Obesity Marketing, Market Access, Commercial Planning, and Commercial Operations. The unit also supports BioPharma global marketing for Haemophilia and growth disorders. With a fast-paced and dynamic atmosphere, the GBS unit offers a collaborative and supportive work environment where you can make a difference in driving the success of our business.

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up . Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasnt happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. Team overview: Target Global Supply Chain and Logistics (GSCL) is evolving at an incredible pace. We are constantly reimagining how we get the right product to the guest even better, faster and more cost effectively than before. We are becoming more intelligent, automated and algorithmic in our decision-making, so that no matter how guests shopin stores or on Target.comwe deliver the convenience and immediate gratification they demand and deserve. We are on a mission to win decisively over any competitor, with a seamless and superior guest service experience unlike any they can offer. Our teams work with the agility our mission requires, and we constantly come together to implement new processes in record time. So were looking for exceptional people who are proactive, creative, independent, innovative, risk-savvy and comfortable working in varying degrees of ambiguity. Are you a critical thinker who seeks the root cause and can analyse both qualitatively and quantitativelyAre you a creative problem-solver who simplifies problems, quickly identifies solutions, commits to a plan and then positively influences others to execute itIf so, you will have success on one of our dynamic teams. Principal Duties & responsibilities: Gather, review and analyze data to provide answers to questions that will drive decision around improving Guest experience. Perform data analysis and research to identify new opportunities to improve overall metrics. Analyze underlying trends to identify potential product issues and improvements to the existing product features. Test and Monitor new features on production to ensure new features are working as expected. Partner with cross functional teams to execute key production levers to manage eCommerce network Collaborate with product owners to drive defect management with engineering team to ensure production environment runs without any critical defects Support key item/brand launches from fulfillment by participating in preparation activities and ensuring systems dont have any critical defects. Support peak volumes by executing key tasks defined specific for peak season. Job requirements: Graduate in any discipline with 1-4 years experience Experience in SQL End to end understanding of eCommerce fulfillment processes. Excellent knowledge of Supply chain processes and systems Data analysis and reporting skills Knowledge in Microsoft Excel, Word, PowerPoint (or similar) applications required Good organizational, prioritizing and problem solving skills and ability to multi-task Excellent communication skills Desired requirements: Reporting and Dashboarding in Domo Useful Links: Life at Targethttps://india.target.com/ Benefitshttps://india.target.com/life-at-target/workplace/benefits Culture https://india.target.com/life-at-target/belonging

About the Role: Grade Level (for internal use): 12 The Role: Foreseer AI Associate Director The Team The Foreseer team delivers digital transformation solutions at SPGMI for information extraction from structures and semi structured documents and websites. Foreseer is a human in the loop platform that combines latest AI/ML advances with a state-of-the-art UI for delivering multiple projects, all powered by a core distributed, cloud native, auto scalable framework. Team comprises of experts in Java and Python language and ML engineers. Responsibilities Include Support and foster a quality-first, agile culture that is built on partnership, trust and sharing Design, develop and maintain functionalities to create new solutions on the platform. Learning and understanding all aspects of the framework and the project deliverables. Be technically deep and provide input on architecture, design and code. Be responsible for driving technical design, architecture and implementation of new features and iterations of your project. Collaborate closely with business and PM stakeholders in roadmap planning and implementation efforts and ensure technical milestones align with business requirements. Implement security measures and compliance standards to protect sensitive data and ensure adherence to industry regulations. Maintain comprehensive documentation of platform, processes and procedures for reference and knowledge sharing. Ensure the use of standards, governance and best practices in the industry to deliver high quality scalable solutions. Ability to adapt communication styles to various audiences, from engineers to business stakeholders and executive leadership. Strategic thinker and influencer with demonstrated technical and business acumen and problem-solving skills. Experience & Qualifications BS or MS degree in Computer Science, AI/ML, Data Science or related field. Overall experience should be 12+ Years. 8+ years hands on experience in AI/ML, Data Science or Technology Strategy 4+ years of experience in leadership roles. Strong understanding of AI technologies (e.g. Genrative AI, NLP, Computer Vision) and their business applications. Background in Consulting or Corporate strategy with focus on AI. Familiarity with AI platforms (e.g., TensorFlow, PyTorch) and cloud AI services (AWS, GCP, Azure). Hands on experience in leveraging language models for information retrieval. Experience in different data base technologies (like RDBMS, NOSQL) Experience in Containerization, Container orchestration systems, cloud platforms, CI/CD, and deployments through CI/CD pipelines, and AWS services like S3, EKS, EC2 etc. Proficiency in the development environment, including IDE, web & application server, GIT, Azure DevOps, unit-testing tool and defect management tools Nice to Have Skills Distributed systems programming. Hands on experience in Java and Front End technologies. Hands on experience with Elastic/Redis search. Experience in Agile and Scrum methodologies Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority Ratings - (Strategic Workforce Planning)

About the Role: Grade Level (for internal use): 10 The Team The Capital IQ Solutions Data Science team supports the S&P Capital IQ Pro platform with innovative Data Science and Machine Learning solutions, utilizing the most advanced NLP Generative AI models. This role presents a unique opportunity for hands-on ML/NLP/Gen AI/LLM scientists and engineers to advance to the next step in their career journey and apply their technical expertise in NLP, deep learning, Gen AI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge applied research in LLMs, Gen AI, and related areas. Responsibilities and Impact Design solutions utilizing NLP models including chat assistants and RAG systems. Design and develop custom NLP LLM Models including both prompt engineering techniques and model fine-tunning and alignment (SFT, RLHF, DPO) NLP Model evaluation using both human-supported and synthetic evaluation methods and metrics. Deploy NLP models ensuring latency, reliability, and scalability. Discover new methods for prompt engineering, model fine-tuning, quantization and latency optimization, document embeddings and chunking. Collaborate closely with product teams, business stakeholders, and engineers to ensure smooth integration of NLP models into production systems. Troubleshoot complex issues related to machine learning model development and data pipelines and develop innovative solutions. Actively research, explore and identify the latest relevant methods and technologies What Were Looking For : Basic Required Qualifications : Degree in Computer Science, Mathematics or Statistics, Computational linguistics, Engineering, or a related field. Good understanding ofmachine learning and deeplearningmethods and their mathematical foundations 5-8 years of professional experience in Advanced Analytics / Data Science / Machine Learning 5-8 years hands-on experience developing NLP models, ideally with transformer architectures. Demonstrated experience with Python, PyTorch, Hugging Face or similar tools. Mastery of Python and ability to write robust and high standard, testable code Knowledge of developing or tuning LLMS Additional Preferred Qualifications 3+ years of experience with implementing information retrieval systems. Experience with contributing to Open Source initiatives or in research projects and/or participation in Kaggle competitions. Publications related to Machine Learning or Deep Learning Ability to work in a team Able to report progress and summarize issues to a less technical audience Curious and open-minded attitude to new approaches About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, andmake decisions with conviction.For more information, visit www.spglobal.com/marketintelligence . Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- , SWP Priority Ratings - (Strategic Workforce Planning)

Overall Responsibilities: Experience with Machine Learning, Deep Learning, Computer Vision, NLP, Generative AI. Knowledge of algorithms, object-oriented and functional design principles, and best-practice patterns Solid understanding of common programming languages used in AI, such as Python, Java, C++, and R Advanced knowledge of statistical and algorithmic models as well as of fundamental mathematical concepts, such as linear algebra and probability Experience working with large data sets and writing efficient code capable of processing large data streams at speed. Skills: Machine Learning, Deep Learning, Computer Vision, NLP Strong hands-on experience in AI/ML/Data Science, including machine learning algorithms, deep learning, NLP, computer vision, etc. Knowledge of programming languages such as Python, R, SQL, etc. Experience with AI/ML/Data Science tools and frameworks such as TensorFlow, PyTorch, etc. Excellent problem-solving skills and ability to find creative solutions to complex data science problems. Strong communication and interpersonal skills to effectively collaborate with cross-functional teams and clients Experience: Minimum 8-12 years of experience in AI/ML/Data Science, with at least 8+ years in a leadership role Proven track record of successfully delivering AI/ML/Data Science projects Experience in mentoring and leading a team of AI/ML/Data Science professionals Day-to-Day Activities: Lead AI/ML/Data Science projects, ensuring successful delivery Mentor and guide junior team members Collaborate with cross-functional teams to provide subject matter expertise in AI/ML/Data Science Stay updated with latest AI/ML/Data Science trends and technologies Identify and evaluate new business opportunities in AI/ML/Data Science Qualification: Bachelor's or Master's degree in Computer Science, Data Science, AI, or related field Soft Skills: Excellent leadership and team management skills Strong interpersonal and communication skills Ability to work in a fast-paced and dynamic environment Good negotiation and stakeholder management skills Passionate about AI/ML/Data Science and staying updated with latest trends and technologies. S YNECHRONS DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative Same Difference is committed to fostering an inclusive culture promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicants gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law . Candidate Application Notice

: Job TitleAnalytics - Data Analyst, AVP LocationMumbai, India Role Description OverviewBusiness Division Deutsche Banks Corporate Bank (CB) a market leader in cash management, trade finance & lending, securities services, and Trust & Agency Services. Focusing on the treasurers and finance departments of corporate and commercial clients and financial institutions across the globe, our universal expertise and global network allows us to offer truly integrated and effective solutions. OverviewBusiness CBs Trust and Agency Services (TAS) team, with offices in New York, California, London, Frankfurt, Milan, Lisbon, Dublin, Hong Kong, Singapore, and Tokyo has long been recognized as a leader in the provision of administrative and fiduciary services to the global debt and equities markets. It supports structures from the simplest to the most complex, covering Asset Backed Securities, CLOs and Managed accounts, Corporate Debt, Escrows, Project Finance, Loan Agency, and Depositary Receipts. OverviewRole The Core Analytics Analyst provides high quality, meaningful analysis to internal stakeholders in a timely manner, to address current and future business needs. They may perform project based analytical work for a specific business/function and/or manage a team of Analytics Analysts. They build and leverage the analytical toolkit and research techniques to create new insights to bring added value to stakeholders. They also drive the development of best practice approaches and take responsibility for enhancing the quality of analytical outputs delivered to stakeholders. The successful candidate will be required to cover European working hours supporting the EMEA business. Corporate title will depend on the relative experience of candidate. What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities Work closely with TAS business to understand and scope reporting/analysis/process enhancement requirements. Design, create and test reports using SQL/SSRS/Tableau/Excel Design, build, test and maintain Microsoft Access databases. Design, build, test and maintain SSIS packages/VBA. Build and maintain complex T-SQL stored procedures. Provide review of existing processes and implement improvements. Provide day to day support for internal and client users of TAS analytics applications. Support fellow Analysts, client services teams and wider business on an ongoing basis. Provide innovative design and implementation for TAS new projects. Your skills and experience Set up and maintain automated data processes. Monitor and audit data quality on existing processes. Develop and support reporting processes and prepare reports for internal and external audiences using business analytics reporting tools. Identify areas to increase efficiency and automation of processes. Positive attitude and collaborative skills to support and develop business critical applications. Open to take challenges and provide solutions business critical requirements. Understand and document business requirements. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool and Strong SQL skills. Excellent communication skills strong verbal skills to be able to communicate directly with the business. They need to be able to explain technical concepts to non-technical users. Analytically minded need to be able to define business problem, source and collect data, establish facts, and proffer solutions. Strong business interest a desire to understand and work with the business. Pro-active - they must work well independently with minimal supervision. Detail orientated Will be responsible for accuracy and integrity of data so need to pay deliberate attention to detail. Diligent Must take ownership of a problem and see it through to its resolution. Multi-year experience developing solutions utilizing the technologies / platforms below. MS Excel MS Access/VBA Sybase / MS SQL Server SQL SSRS, SSIS Tableau Microsoft power tools (nice to have) Proven track records of delivering small to medium sized multi-user business solutions. BS or higher degree in a relevant field such as Computer Science, Economics, Finance or Mathematics. How well support you

: Job Title Full Stack Developer with Java, SQL, React, Python LocationPune, India Corporate TitleVP Role Description Technology underpins our entire business. Our Technology, Data and Innovation (TDI) strategy is focused on strengthening engineering expertise, introducing an agile delivery model, as well as modernising the bank's IT infrastructure. We continue to invest and build a team of visionary tech talent, providing you with the training, freedom and opportunity to do pioneering work. As an [Engineer] you will develop and deliver significant components of engineering solutions to satisfy complex and diverse business goals. You will engage and partner with the business whilst working within a broader creative, collaborative and innovative team, with a strong desire to make an impact. You will be joining the dbSleuth Team within Regulatory & Cross Product IT delivering Trader and Counterparty surveillance across all business sections of Deutsche Bank. We are an engineering focused organization, striving for the highest quality architecture, design and code across our teams. You will help to build our surveillance systems, working in a fast-paced, agile environment. Our workload for new deliveries is high, using, React for UI development, Python/Spark/Scala for services, Hadoop Big Data and data science for anomaly detection using machine learning and statistical risk models. What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities Provide leadership within a delivery team, Modelling, Coding & testing, and collaborating to understand requirements, create stories, design solutions, implement them and help test them. Help create a culture of learning and continuous improvement within your team and be accountable for successful delivery of a regulatory critical workstream Employ a range of techniques to analyse problems and evaluate multiple solutions against engineering, business & strategic criteria Identify and resolve barriers to business deliveries implementing solutions which iteratively deliver value Design solutions using common design patterns with a range of design tools & techniques Conduct peer reviews to ensure designs are fit for purpose, extensible & re-usable Design & build solutions which are secure & controlled Your skills and experience Analytical thinker, team player and possess strong communication skills Enable experimentation and fast learning approaches to creating business solutions Familiar in the use of solution design tools Understand key elements of security, risk & control Track record in identifying and making improvements to the delivery process Working with very large datasets using technologies such as Python, React JS and SQL and utilizing a good understanding of UI functioning & infrastructure. Utilizing Data Modelling tools, Domain Driven design and a strong knowledge of SQL and advanced data analysis to deliver good quality code within enterprise scale development (CI/CD) Experience with development utilising SDLC tools - Git, JIRA, Artifactory, Jenkins/TeamCity, OpenShift How well support you

: In Scope of Position based Promotions (INTERNAL only) Job TitleQuantitative Strategist Analyst LocationMumbai, India Role Description Group Strategic Analytics : Analytics and technology are seen as central to all the main units of the bank, including Investment Bank, Corporate Bank and to Risk and Control functions. The Strategic Analytics team combines expertise in quantitative analytics, modelling, pricing and risk management with deep understanding of system architecture and programming. The primary output is a scalable and flexible Front Office pricing and risk management system with consistent interface to both the Middle Office and Back Office. The consistency in analytics and the technology platform ensures that no arbitrage can exist between various parts of the Bank as well as rational allocation of constrained resources, including risk budget, balance sheet, funding, and capital. What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities Valuation Control Strats: The candidate is required to work in collaboration with London/New York/Berlin team on various quantitative and regulatory driven projects. Candidate is required to understand the business problem, gather information required for the implementation and provide an end-to-end optimized solution on a scalable platform. Implementation of the project needs to be done in Python programming language. Candidate should possess a very good English communication skill in order to coordinate and communicate work effectively with various stakeholders spread across globe. ROLE RESPONSIBILITIES Development of complex processes, framework or risk analysis as well as improvements Implement, enhance and maintain existing framework to measure market risks across the bank Understand and decipher business problem to convert into manageable smaller problem statements Coordinate and gather information from various stakeholders for deeper understanding of the business Design an automated solution which is optimized and scalable Develop and design tables and databases required for the storage of the data Develop applications/libraries for the implementation of the solution Remediation of regulatory as well as external and internal findings against the MR HS models in line with the assigned tasks Constant awareness and understanding of the key market risks taken by the business areas and communication to senior management and with external stakeholders, challenge the business within assigned areas when required Quality assurance (e.g. 4 eyes principle reviews) Your skills and experience Education/ Qualifications: Strong educational background in Engineering/Science, Economics, Statistics or other numerate discipline preferably from good colleges in India e.g. IIT, NIT, ISI , BITS etc. Good knowledge of financial instruments and markets across all asset classes Knowledge of financial pricing models, risk models would be desirable Certification courses like CFA/FRM/CQF Competencies: Programming Skills At least 2 years hands on experience in Python programming Good knowledge of OOPs programming concepts ( Class, Pointers, Data structure stacks, queue) Experience in pulling data from various Market data sources. Independent handling and mitigating methodological or process weaknesses identified by regulators, auditors and internal model validation team Strong communication skills and presentation ability with attention to detail Good problem solving instincts and strong analytical skills Personal characteristics: Ability to work independently as well as flexibly within intra or inter-departmental groups Continuous advancement of own skills and knowledge Can-Do attitude & Able to cope well under pressure and tight deadlines How well support you About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

Role & responsibilities Giving lectures in classes and organizing conferences regarding program studies and related topics. Developing proper coursework of subjects for the students Answering queries and questions of the students to improve their understanding and knowledge of the subject. Evaluating assessments and projects of the students. Publishing papers and reports. Assisting the college administration in making important decisions. Guiding students to broaden their overall skills and knowledge Preferred candidate profile Carries a Ph.D. in one's relevant academic field. Possess teaching Experience in a university setting. A portfolio for Published works, which is advantageous Experience in attending conferences and academic events. Experience in research, writing, and interpersonal communication. A passion for teaching and connecting with students. Patience, understanding, and a willingness to support others.

Role: Gen AI Engineer Location: Hyderabad Job Description: Collect and prepare data for training and evaluating multimodal foundation models. This may involve cleaning and processing text data or creating synthetic data. Develop and optimize large-scale language models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders) Work on tasks involving language modeling, text generation, understanding, and contextual comprehension. Regularly review and fine-tune Large Language models to ensure maximum accuracy and relevance for custom datasets. Build and deploy AI applications on cloud platforms – any hyperscaler Azure, GCP or AWS. Integrate AI models with our company's data to enhance and augment existing applications. Role & Responsibility Handle data preprocessing, augmentation, and generation of synthetic data. Design and develop backend services using Python or .NET to support OpenAI-powered solutions (or any other LLM solution) Develop and Maintaining AI Pipelines Work with custom datasets, utilizing techniques like chunking and embeddings, to train and fine-tune models. Integrate Azure cognitive services (or equivalent platform services) to extend functionality and improve AI solutions Collaborate with cross-functional teams to ensure smooth deployment and integration of AI solutions. Ensure the robustness, efficiency, and scalability of AI systems. Stay updated with the latest advancements in AI and machine learning technologies. Skills & Experience Strong foundation in machine learning, deep learning, and computer science. Expertise in generative AI models and techniques (e.g., GANs, VAEs, Transformers). Experience with natural language processing (NLP) and computer vision is a plus. Ability to work independently and as part of a team. Knowledge of advanced programming like Python, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. This includes the ability to implement and manipulate complex algorithms fundamental to developing generative AI models. Knowledge of Natural language processing (NLP) for text generation projects like text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models. Experience in Data management, including data pre-processing, augmentation, and generation of synthetic data. This involves cleaning, labeling, and augmenting data to train and improve AI models. Experience in developing and deploying AI models in production environments. Knowledge of cloud services (AWS, Azure, GCP) and understanding of containerization technologies like Docker and orchestration tools like Kubernetes for deploying , managing and scaling AI solutions Should be able to bring new ideas and innovative solutions to our clients

Huebits is looking for Data science and Engineering Intern to join our dynamic team and embark on a rewarding career journey Undertaking data collection, preprocessing and analysis Building models to address business problems Presenting information using data visualization techniques Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams

Primine Software Private Limited is looking for Machine Learning Engineer to join our dynamic team and embark on a rewarding career journeyA Machine Learning Engineer is responsible for designing, building, and maintaining systems that use artificial intelligence (AI) and machine learning (ML) algorithms to solve complex problems. 1.Developing and implementing ML algorithms: The Machine Learning Engineer develops and implements machine learning algorithms to solve specific problems, such as natural language processing, computer vision, or predictive modeling.2.Building data pipelines: The Machine Learning Engineer is responsible for building data pipelines that collect, store, and preprocess data used in machine learning algorithms.3.Creating and maintaining ML infrastructure: The Machine Learning Engineer is responsible for creating and maintaining ML infrastructure, including hardware, software, and cloud platforms, that support the development and deployment of ML models.4.Testing and validating ML models: The Machine Learning Engineer tests and validates ML models, ensuring that they are accurate, robust, and scalable.5.Troubleshooting ML systems: The Machine Learning Engineer troubleshoots ML systems, identifying and resolving issues related to performance, accuracy, and scalability.6.Deploying ML models: The Machine Learning Engineer deploys ML models in production environments, integrating them with other software systems and ensuring that they are reliable and scalable.

Primine Software Private Limited is looking for AI Developer to join our dynamic team and embark on a rewarding career journeyA Developer is responsible for designing, developing, and maintaining software applications and systems. They collaborate with a team of software developers, designers, and stakeholders to create software solutions that meet the needs of the business.Key responsibilities:Design, code, test, and debug software applications and systemsCollaborate with cross-functional teams to identify and resolve software issuesWrite clean, efficient, and well-documented codeStay current with emerging technologies and industry trendsParticipate in code reviews to ensure code quality and adherence to coding standardsParticipate in the full software development life cycle, from requirement gathering to deploymentProvide technical support and troubleshooting for production issues.Requirements:Strong programming skills in one or more programming languages, such as Python, Java, C++, or JavaScriptExperience with software development tools, such as version control systems (e.g. Git), integrated development environments (IDEs), and debugging toolsFamiliarity with software design patterns and best practicesGood communication and collaboration skills.

Job Description We are seeking a highly skilled Senior Data Scientist with experience in pricing optimization, pricing elasticity, and AWS SageMaker. The ideal candidate will have a strong foundation in Statistics and Machine Learning, with a particular focus on Bayesian modeling. As part of our Data Science team, you will work closely with clients to develop advanced pricing strategies using state-of-the-art tools and techniques, including AWS SageMaker, to optimize business outcomes. Key Responsibilities: Lead and contribute to the development of pricing optimization models, leveraging statistical and machine learning techniques to inform strategic decisions. Analyze pricing elasticity to predict consumer response to changes in price, helping clients maximize revenue and market share. Implement and deploy machine learning models using AWS SageMaker for scalable and efficient performance in a cloud environment. Utilize Bayesian modeling to support decision-making processes, providing insights into uncertainty and model predictions. Collaborate with cross-functional teams to integrate data-driven insights into business processes. Communicate complex results and findings in a clear and concise manner to both technical and non-technical stakeholders. Continuously explore and experiment with new modeling approaches and tools to improve accuracy and efficiency of pricing solutions. Qualifications Bachelor s or Master s degree in Data Science, Statistics Mathematics Economics, or a related field. Advanced degrees preferred. 5+ years of hands-on experience in data science, with a focus on prici

Job Description We are seeking a highly skilled Lead Data Scientist with experience in pricing optimization, pricing elasticity, and AWS SageMaker. The ideal candidate will have a strong foundation in Statistics and Machine Learning, with a particular focus on Bayesian modeling. As part of our Data Science team, you will work closely with clients to develop advanced pricing strategies using state-of-the-art tools and techniques, including AWS SageMaker, to optimize business outcomes. Key Responsibilities: Lead and contribute to the development of pricing optimization models, leveraging statistical and machine learning techniques to inform strategic decisions. Analyze pricing elasticity to predict consumer response to changes in price, helping clients maximize revenue and market share. Implement and deploy machine learning models using AWS SageMaker for scalable and efficient performance in a cloud environment. Utilize Bayesian modeling to support decision-making processes, providing insights into uncertainty and model predictions. Collaborate with cross-functional teams to integrate data-driven insights into business processes. Communicate complex results and findings in a clear and concise manner to both technical and non-technical stakeholders. Continuously explore and experiment with new modeling approaches and tools to improve accuracy and efficiency of pricing solutions. Qualifications Bachelor s or Master s degree in Data Science, Statistics Mathematics Economics, or a related field. Advanced degrees preferred. 7+ years of hands-on experience in data science, with a focus on prici

Job Description Location : Hyderabad Role Highlights: As a Manager - Data Science , you wont just manage, youll lead by doing . This role demands strong hands-on expertise in Machine Learning, Generative AI, Python, and SQL , and any cloud environment (GCP, Azure or AWS) ensuring that you stay deeply engaged in the technical side while mentoring and growing a high-performing team. Youll spearhead end-to-end AI/ML project execution , collaborate with cross-functional teams, and drive innovation within Blends Data Science practice. If you love solving complex problems, thrive in a fast-paced environment, and can translate business challenges into cutting-edge AI solutions, wed love to have you on board! What Youll Tackle Each Day: Delivery & Project Management: Develop and implement ML models, Gen AI solutions, and predictive analytics . Perform data mining, feature engineering, and statistical analysis . Own project roadmaps, quality control, and timely delivery . Collaborate with Data Engineering teams to deploy and operationalize ML models . Automate and optimize workflows for efficiency. Practice Development: Contribute to scaling Blends Data Science practice by building new capabilities. Design industry-specific AI/ML solutions and contribute to thought leadership. Evaluate emerging AI trends and tools and integrate them into our ecosystem. Lead innovation initiatives , research, and internal AI development. People & Leadership: Mentor and develop a high-performance data science team . Guide career development and set performance benchmarks. Collaborate with cross-functional teams to drive seamless execution. Qualifications 8+ years of experience in Data Science & AI , with hands-on expertise in ML, Python, and SQL . Exposure to Generative AI Should have wo

We are Reckitt Home to the worlds best loved and trusted hygiene, health, and nutrition brands. Our purpose defines why we exist: to protect, heal and nurture in the relentless pursuit of a cleaner, healthier world. We are a global team united by this purpose. Join us in our fight to make access to the highest quality hygiene, wellness, and nourishment a right and not a privilege. Information Technology & Digital In IT&D, youll be a force for good, whether youre championing cyber security, defining how we harness the power of technology to improve our business, or working with data to guide the innovation of consumer loved products. Working globally across functions, youll own your projects and process from start to finish, with the influence and visibility to achieve what needs to be done. And if youre willing to bring your ideas to the table, youll get the support and investment to make them happen. Your potential will never be wasted. Youll get the space and support to take your development to the next level. Every day, there will be opportunities to learn from peers and leaders through working on exciting, varied projects with real impact. And because our work spans so many different businesses, from Research and Product Development to Sales, youll keep learning exciting new approaches. About the role The IT&D function is responsible for the digital transformation of the organization with the objective of driving commercial value and business growth. We use technology as a strategic asset to deliver a competitive edge to our business to outperform in the market. Data-led insights and decision-making is a key pillar that enables this objective. We are on the lookout for a rockstar data scientist & analytics lead who brings the expertise of mining information and using cutting-edge AI/ML capabilities to deliver invaluable business insights. Your responsibilities This role will be responsible for the below key job specifications: 1. Lead Reckitt South Asia s data stack evolution and strategy to enhance our reporting and analytics capabilities. 2. Manage enterprise data model, data integrity, availability, and information confidentiality as its chief custodian. 3. Collaborate with cross-functional teams to understand business needs & identifying opportunities and integrate analytics-driven solutions into their business processes. 4. Leverage a profound understanding of mathematical & statistical principles in collaboration with sophisticated machine learning and decision-science algorithms and programming to solve key business challenges to deliver commercial value. 5. Stay abreast with industry trends, emerging technologies and best practices in data science, bringing innovative ideas to improve organizational performance. 6. As the regional product manager for data solutions, collaborate with the global product management to ensure strict adherence to guidelines, processes and templates and cross-pollination of best-practices. 7. As member of the South Asia IT&D team strive to bring together our cross-functional experts through data and by constantly striving to improve the data literacy of the overall function. The experience were looking for 3-6years of experience post-qualification with significant experience in consumer goods/ durables/ retail/ food & beverages/ electronics/ retail industry with proven experience in using data science techniques for resolving business needs and challenges Demonstrated experience of industry, organizational and functional processes especially sales, supply and marketing. Comprehensive understanding of regression and classification algorithms with mathematical expertise. Proficiency in Python with relevant libraries and frameworks to address specific business problems (e.g., TensorFlow, PyTorch, scikit-learn). Experience in data modelling, visualization and building/managing data pipelines with automations (ETL/power automate) will be essential. Great problem-solving skills and depth of business understanding is a key consideration. Demonstrated ability to manage multiple stakeholders, partner to influence outcomes, building convincing narratives and driving multiple initiatives is essential. The skills for success Data Science, Analytics, Power BI, statistical Analytics, Predictive Analytics, ML, NLP, FMCG, Mix Market Modelling, Customer Segmentation. What we offer

Your Role Must have experience with Machine Learning Model Development Expert Level Proficiency in Data Handling (SQL) Hands-on with Model Engineering and Improvement Strong experience in Model Deployment and Productionlization Your Profile Extensive experience in developing and implementing machine learning, Deep Learning, NLP models across various domains, Strong proficiency in Python, including relevant libraries and frameworks for machine learning, such as scikit-learn, XGBoost and Keras. Ability to write efficient, clean, and scalable code for model development and evaluation. Proven experience in enhancing model accuracy through engineering techniques, such as feature engineering, feature selection, and data augmentation. Ability to analyze model samples in relation to model scores, identify patterns, and iteratively refine models for improved performance. Strong expertise in deploying machine learning models to production systems. Familiarity with the end-to-end process of model deployment, including data preprocessing, model training, optimization, and integration into production environments. What you will love about working here We recognise the significance of flexible work arrangements to provide support in hybrid mode, you will get an environment to maintain healthy work life balance Our focus will be your career growth & professional development to support you in exploring the world of opportunities. Equip yourself with valuable certifications & training programmes in the latest technologies such as AIML, Machine Learning The role is applicable for women candidates only. D&I Disclaimer: We are committed to fostering a diverse and inclusive workplace that values and celebrates differences. We believe that diversity in all its forms enriches our organization, promotes innovation, and drives success. We are dedicated to providing equal opportunities for all individuals, regardless of discrimination of any kind, including but not limited to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, neurodiversity, or veteran status. Our commitment extends to embracing all forms of diversity. We actively encourage candidates from diverse backgrounds to apply and join us in shaping a more inclusive future together

Job Description - Pre Sales Engineer Job Title: Pre-Sales Engineer - Data & AI Solutions (Industry: Manufacturing, Supply Chain, Retail, CPG & Aviation) Department: Pre-Sales / Industry Solutions Job Summary: We are seeking a dynamic and experienced Pre-Sales Engineer with a strong foundation in Data & AI Solutions and a domain focus on Manufacturing, Supply Chain, Retail, CPG and Aviation . You will be responsible for solution positioning, customer engagement and proposal ownership to drive business growth. The ideal candidate will blend industry knowledge, technical expertise and strategic thinking to craft value-driven solutions aligned with client needs. Key Responsibilities: Pre-Sales & Solution Consulting Lead end-to-end pre-sales lifecycle from requirement discovery, proposal development, solutioning and client presentations. Collaborate with cross-functional teams (Sales, Delivery, Solution, Data Science) to craft tailored solutions leveraging AI/ML, Data Engineering, BI, Cloud and Industry 4.0 technologies. Translate client pain points into value propositions, solution blueprints and technical architectures . Industry-Focused Solutioning Create industry-specific use cases and demos aligned with domain challenges in: Manufacturing (OEE, Predictive Maintenance, Quality Analytics, Digital Twin) Supply Chain (Demand Forecasting, Inventory Optimization, Logistics Analytics) Retail & CPG (Assortment Optimization, Customer Insights, Pricing and Promo Effectiveness) Aviation (MRO Optimization, Delay Prediction, Parts Lifecycle Analytics) Client Engagement & Enablement Conduct client workshops, discovery sessions, PoCs , and technical deep dives to shape solution understanding and buy-in. Act as a trusted advisor to clients and internal stakeholders on data and AI maturity journeys . Proposals, RFPs, and Documentation Own and contribute to proposals, SoWs, RFP/RFI responses and collateral creation (solution decks, value maps, case studies). Ensure all deliverables meet quality, timeline, and alignment expectations. Market and Technology Insights Stay ahead of emerging trends in AI, GenAI, IoT, Digital Twin, LLMs, and cloud platforms (Azure, AWS, GCP). Continuously gather competitive intelligence and benchmarking insights to strengthen solution offerings. Qualifications: Bachelors or Masters degree in Engineering, Business, Data Science or a related field. 3 to 5 years of experience in pre-sales, solutioning or consulting roles with focus on Data & AI solutions . Deep understanding of data architectures , AI/ML workflows and business intelligence platforms . Exposure to industry processes, KPIs and digital transformation use cases in Manufacturing, Retail/CPG, and Supply Chain. Proficient in tools such as Power BI/Tableau, Azure/AWS, Python/SQL , and knowledge of ML lifecycle tools (MLflow, Databricks, SageMaker). Preferred Skills: Experience working with SAP, Oracle, Snowflake , and integrating with enterprise systems. Understanding of IoT protocols (MQTT, OPC UA) and smart manufacturing practices . Strong communication and storytelling skills – ability to influence CXOs and business/technical teams . Agile, collaborative, and customer-first mindset. Why Join Us? Be at the forefront of industry innovation in Data & AI . Work across diverse industries and global clients . Opportunity to lead flagship initiatives and cutting-edge solution launches . Empowerment to contribute to IP creation, accelerators, and playbooks . If interested send your updated resume at chaity.mukherjee@celebaltech.com

Role – Gen AI Engineer - Python Location - Hyderabad Mode of Interview - Virtual Interview Data - 5th June 2025 (Saturday) Job Description: Collect and prepare data for training and evaluating multimodal foundation models. This may involve cleaning and processing text data or creating synthetic data. Develop and optimize large-scale language models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders) Work on tasks involving language modeling, text generation, understanding, and contextual comprehension. Regularly review and fine-tune Large Language models to ensure maximum accuracy and relevance for custom datasets. Build and deploy AI applications on cloud platforms – any hyperscaler Azure, GCP or AWS. Integrate AI models with our company's data to enhance and augment existing applications. Role & Responsibility Handle data preprocessing, augmentation, and generation of synthetic data. Design and develop backend services using Python or .NET to support OpenAI-powered solutions (or any other LLM solution) Develop and Maintaining AI Pipelines Work with custom datasets, utilizing techniques like chunking and embeddings, to train and fine-tune models. Integrate Azure cognitive services (or equivalent platform services) to extend functionality and improve AI solutions Collaborate with cross-functional teams to ensure smooth deployment and integration of AI solutions. Ensure the robustness, efficiency, and scalability of AI systems. Stay updated with the latest advancements in AI and machine learning technologies. Skills & Experience Strong foundation in machine learning, deep learning, and computer science. Expertise in generative AI models and techniques (e.g., GANs, VAEs, Transformers). Experience with natural language processing (NLP) and computer vision is a plus. Ability to work independently and as part of a team. Knowledge of advanced programming like Python, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. This includes the ability to implement and manipulate complex algorithms fundamental to developing generative AI models. Knowledge of Natural language processing (NLP) for text generation projects like text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models. Experience in Data management, including data pre-processing, augmentation, and generation of synthetic data. This involves cleaning, labeling, and augmenting data to train and improve AI models. Experience in developing and deploying AI models in production environments. Knowledge of cloud services (AWS, Azure, GCP) and understanding of containerization technologies like Docker and orchestration tools like Kubernetes for deploying , managing and scaling AI solutions Should be able to bring new ideas and innovative solutions to our clients

BIU:Data Science-Personalization COE INTERNAL USAGE: No. of Vacancies: Reports to: Is a Team leader Team Size: Grade: Business: BIU Department: BIU Sub - Department: BIU Location: Mumbai/Bangalore About BIU Axis Bank s (Business Intelligence Unit): This is a high profile team with a mandate to drive data based decisions within the bank. Reporting in to Head Banking Operations and Transformation, this department works with all businesses of the bank including retail, small business and corporate to drive analytics. In terms of functions, the department has teams focused on all aspects of analytics for the bank including risk analytics, financial analytics, crime analytics, business and marketing analytics, building predictive scores, data engineering, business reporting and data governance roles. About the Role We are hiring a seasoned marketing/campaign analytics leader, responsible for scaling personalization to next level - implement personalization for 100% retail campaigns. Constant improvisation by flagging what is not working well, create and implement plan to change creatives/motivations of the nudges for better conversion. Key Responsibilities Drive the personalization agenda and deploy nudges across all retail products. - credit cards, deposits, retail assets, digital banking etc Co-own the business targets in terms of conversion via personalized campaigns Publish regular reports and insights for tracking the nudge efficiency Leverage data and insights to optimize the nudge efficacy - plan changes / improvisation as part of monthly release Active participation in PoDs - liaise with business, analytics, data engineering, marketing & campaign management teams to meet timelines The role also includes team management - manage a team of 4-6 team members, guide and oversee the delivery of the nudges. Role Proficiencies: MBA or Masters degree in Economics, Statistics, Engineer - Comp Science etc. Code review and challenge with test cases experience- Python, PySpark or SparkSQL Related years work experience in the BFSI domain, Telcos, e-commerce Strong analytical acumen and willingness to learn Experience in campaign design / Martech tools (UNICA, Adobe target) etc preferred Excellent written/ verbal communication, analytical, and presentation skills

We are looking for a skilled Sr. Data Scientist with 6 to 8 years of experience to join our team at Xcaliber Infotech Pvt Ltd, playing a crucial role in driving business growth through data-driven insights. Roles and Responsibility Develop and implement advanced data models and algorithms to solve complex problems. Collaborate with cross-functional teams to design and deploy predictive analytics solutions. Work closely with stakeholders to identify business needs and develop tailored data science solutions. Design and implement data pipelines and architectures to support business intelligence initiatives. Conduct thorough analysis of large datasets to extract valuable insights and trends. Communicate complex technical concepts to non-technical stakeholders through clear and concise reports. Job Requirements Strong proficiency in programming languages such as Python or R. Experience with machine learning frameworks like TensorFlow or PyTorch. Excellent understanding of statistical concepts and data modeling techniques. Strong analytical and problem-solving skills with attention to detail. Ability to work collaboratively in a team environment and communicate effectively with stakeholders. Experience with data visualization tools like Tableau or Power BI is a plus.