2551 Data Scientist Jobs - Page 37

Silicon Labs (NASDAQ: SLAB) is the leading innovator in low-power wireless connectivity, building embedded technology that connects devices and improves lives. Merging cutting-edge technology into the world s most highly integrated SoCs, Silicon Labs provides device makers the solutions, support, and ecosystems needed to create advanced edge connectivity applications. Headquartered in Austin, Texas, Silicon Labs has operations in over 16 countries and is the trusted partner for innovative solutions in the smart home, industrial IoT, and smart cities markets. Learn more at www.silabs.com . What Youll do Lead and execute complex data science initiatives that support high-impact business decisions. Responsible for the development, deployment, and communication of advanced analytical models. Provides technical guidance to junior data scientists and partners closely with cross-functional teams to drive data-driven outcomes Responsibilities Designs and implements advanced statistical and machine learning models to solve complex business problems. Leads full-cycle analytics projects, including problem definition, data exploration, model development, evaluation, and deployment. Collaborates with stakeholders to align data science solutions with business goals and priorities. Provides technical mentorship to junior team members and contributes to knowledge sharing across the team. Translates complex modeling outputs into actionable insights and presents findings to senior leadership. Stays current on industry best practices and emerging trends in AI, machine learning, and data science tools. Contributes to continuous improvement in analytical workflows, code standards, and data governance. Applies sound judgment to navigate ambiguous problems and propose scalable solutions. Performs other duties as required in support of the data science team and organizational goals. Required Qualification and skills Bachelor s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field; Master s preferred. Minimum of 4 years of experience in data science, machine learning, or advanced analytics. Advanced proficiency in Python or R, SQL, and machine learning libraries (e.g., scikit-learn, TensorFlow). Strong grasp of statistical analysis, experimental design, and model evaluation techniques. Excellent written and verbal communication skills, with the ability to influence both technical and non-technical stakeholders. Demonstrated experience in leading complex data projects and driving measurable business outcomes. Experience with cloud-based data platforms (e.g., AWS, GCP, Azure) and MLOps practices is a plus. Benefits & Perks: Not only will you be joining a highly skilled and tight-knit team where every engineer makes a significant impact on the product; we also strive for good work/life balance and to make our environment welcoming and fun. Equity Rewards (RSUs) Employee Stock Purchase Plan (ESPP) Insurance plans with Outpatient cover National Pension Scheme (NPS) Flexible work policy Childcare support Silicon Labs is an equal opportunity employer and values the diversity of our employees. Employment decisions are made on the basis of qualifications and job-related criteria without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status, or any other characteristic protected by applicable law.

Role Summary: Aurigo is leading the charge in transforming enterprise SaaS for infrastructure, and AI is at the core of this revolution. With Aurigo Lumina, our AI copilot, we are redefining how infrastructure owners interact with Masterworks, driving smarter, faster, and more efficient decision-making. We have set up AI Labs to build AI-powered software and transform Aurigo into an AI-first company. We have AI initiatives across the products and platforms. We are seeking an experienced Senior / Staff Data Scientist to build and deploy our AI/ML, Gen AI and agentic AI products and solutions. Key Responsibilities This position offers an opportunity to be part of the AI transformation of our organization, working with cutting-edge technologies and solving complex challenges in a collaborative environment. We are seeking a highly skilled Senior / Staff Data Scientist to carry out design, and scalable implementation of AI/Gen AI products and platforms. This role demands an individual with strong programming and debugging skills, good software development experience, deep expertise in cutting-edge AI models, architectures, and a strong commitment to responsible AI practices. Qualifications: Bachelor s or Master s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field 3+ years of progressive experience in AI/ML, Gen AI 3+ years of software development experience and strong coding skills Building predictive and prescriptive AI/ML models and domain-specific AI models for full construction lifecycle Strong expertise with LLMs (e.g., GPT, Claude, Mistral) Experience in Prompt engineering, RAG, Parameter Efficient Fine Tuning (PEFT), Reinfocement Learning with Human Feedback (RLHF) to improve the LLM responses including guardrails, evaluation and LLM observability to reduce hallucinations. Expertise in Natural Language Processing, transformers and knowledge graphs Proficiency in cloud platforms for AI architecture: AWS Bedrock, AWS SageMaker with a deep understanding of their AI service offerings. Experience of building autonomous/agentic AI systems (e.g., multi-agent frameworks, self-optimizing systems, or LLM-driven decision engines). Extensive hands-on experience with autonomous AI tools and frameworks: LangChain, Autogen, CrewAI, or architecting custom agentic frameworks. Expertise with Python, TensorFlow, PyTorch, or other relevant AI/ML libraries. Push proofs of concept to production-grade systems handling performance metrics, latency, and scale. About Aurigo Aurigo is revolutionizing how the world plans, builds, and manages infrastructure projects with Masterworks , our industry-leading enterprise SaaS platform. Trusted by over 300 customers managing $300 billion in capital programs, Masterworks is setting new standards for project delivery and asset management. Recognized as one of the Top 25 AI Companies of 2024 and a Great Place to Work for three consecutive years, we are leveraging artificial intelligence to create a smarter, more connected future for customers in transportation, water and utilities, healthcare, higher education, and the government, with over 40,000 projects across North America. At Aurigo, we don t just develop software we shape the future. If you re excited to join a fast-growing company and collaborate with some of the brightest minds in the industry to solve real-world challenges, let s connect. Competencies

Min 1-3 yrs of exp in data science,NLP&Python Exp in PyTorch,Scikit-learn,and NLP libraries(NLTK,SpaCy,Hugging Face) Help deploy AI/ML solutions on AWS,GCP/Azure Exp in SQL for data manipulation & analysis Exp in Big Data processing Spark,Pandas,Dask

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. 8+ years of experience in Data Science & AI , with hands-on expertise in ML, Python, and SQL . Exposure to Generative AI Should have worked on at least a few POCs or pilo

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. 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 pricing optimization and elasticity mode

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. 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 pricing optimization and elasticity mode

">Data Science 6-10 Years Bengaluru Data science Job Summary: We are looking for an experienced and innovative Senior Data Scientist with 6 to 10 years of experience, specializing in Generative AI (GenAI) , Large Language Models (LLMs) , and Natural Language Processing (NLP) . The ideal candidate will have deep expertise in developing and deploying AI/ML solutions, including Retrieval-Augmented Generation (RAG) frameworks, and working with cloud platforms such as Google Cloud Platform (GCP) . Key Responsibilities: Design, develop, and deploy advanced AI/ML models with a focus on NLP, GenAI, and LLMs. Implement and optimize Retrieval-Augmented Generation (RAG) pipelines for enterprise applications. Collaborate with cross-functional teams to translate business problems into AI solutions. Evaluate and fine-tune foundation models (e.g., GPT, PaLM, LLaMA) for domain-specific use cases. Work with cloud services (primarily GCP) for scalable model training and deployment. Develop robust data pipelines and conduct data preprocessing and feature engineering. Stay current with the latest advancements in GenAI, deep learning, and NLP. Mentor junior data scientists and contribute to knowledge sharing and best practices. Required Skills and Qualifications: Bachelor s or Master s degree in Computer Science, Data Science, AI/ML, or a related field. A PhD is a plus. 6 to 10 years of hands-on experience in data science or machine learning roles. Strong programming skills in Python ; familiarity with R is a plus. Proven experience with Generative AI , LLMs , and NLP frameworks (e.g., Hugging Face Transformers, SpaCy, NLTK). Practical knowledge of RAG architectures and vector databases (e.g., FAISS, Pinecone). Solid experience in deep learning using libraries such as TensorFlow, PyTorch, or JAX. Hands-on experience with Google Cloud Platform (GCP) services such as Vertex AI, BigQuery, and Cloud Storage. Excellent problem-solving skills and the ability to work independently or within a team. Preferred Qualifications: Experience in deploying LLMs in production environments. Knowledge of prompt engineering and fine-tuning techniques. Familiarity with CI/CD workflows for machine learning. Background in MLOps and model monitoring in cloud environments.

JD Primary skills: • Solid experience in building ML Models. • Proficient in SQL, Python, PySpark, Spark ML language. • Good understanding of cloud platforms such as AWS (preferred), Azure or GCP. • Proficient in source code controls using Github. Secondary skills: • Experience using any Auto ML products like DataRobot / H2O AI. • Provide inputs to build Artificial Intelligence (AI) roadmap for marketing based on TE&O architecture and capability delivery timelines. • Accountable for identifying, embedding, promoting, and ensuring continuous improvement within the use of new data and advanced analytics across the teams

Mirafra Technologies is Hiring #GenAIEngineer (#RAG, #LLM, #FineTuning) Are you passionate about Generative AI and cutting-edge technologies? Join We're looking for Gen AI Engineers with 3 to 5 years of experience in: Walk-In Date: Thursday, 3rd July 2025 Time: 11:00 AM 1:00 PM Job Location - #Bangalore and #Hyderabad Venue: Mirafra Technologies 2nd Floor, Akshay Tech Park, Plot No. 72 & 73, Vijayanagar, EPIP Zone, Whitefield, Bengaluru, Karnataka 560066 Contact Person: Vignesh D Requirements: 3 to 5yrs Strong experience with Gen AI frameworks Hands-on with LLM architecture and deployment Familiarity with RAG pipelines and fine-tuning techniques Solid programming skills in Python

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): 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)

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

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

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.

Roles and Responsibilities: Design, develop, and deploy machine learning models to detect and prevent fraudulent activities, such as Merchant Fraud, transactional fraud, account takeover, and identity theft Work with large datasets to identify patterns, trends, and anomalies that may indicate fraudulent activity Utilize data analytics toolsand methodologies to conduct in-depth assessments and generate Fraud rules and reports on fraud trends (including first-party and third-party fraud). Collaborate with cross-functional teams, including risk management, operations, and compliance, to enhance fraud prevention measures. Monitor industrytrends, regulatory changes,and best practices to continually enhance fraud prevention strategies. Skills Required: Bachelor's degreein engineering, technology, computer science or related field. 3+ years of proven data analytics experience in fraud prevention, risk management, or a relatedfield Familiarity with fraud detection software, risk assessment methodologies, and regulatory compliance. Strong experience in SQL or Python Excellent communication and presentation skillswith the abilityto convey complex information clearly and concisely. Detail-oriented with a proactive mindset toward problem-solving and risk mitigation. Ability to work collaboratively in a cross-functional team environment.

Lead Data Science Experience: 5-8 Years Exp Salary: 35 LPA to 43 LPA Preferred Notice Period : Within 30 Days Opportunity Type: Office (Hyderabad) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills: Python, LLM, GenAI, Tensorflow, Retrieval Augmented Generation(RAG) Blend360 (One of Uplers' Clients) is looking for: About Blend360: Our Vision is to build a company of world-class people that helps our clients optimize business performance through data, technology, and analytics. The company has two divisions: Data Science Solutions. We work at the intersection of data, technology, and analytics. Talent Solutions: We live and breathe the digital and talent marketplace. Job Description We are hiring a Lead Data Scientist (Generative AI) to spearhead the development of advanced AI-powered classification and matching systems on Databricks. You will contribute to flagship programs like the Diageo AI POC by building RAG pipelines, deploying agentic AI workflows, and scaling LLM-based solutions for high-precision entity matching and MDM modernization. Key Responsibilities Design and implement end-to-end AI pipelines for product classification, fuzzy matching, and deduplication using LLMs, RAG, and Databricks-native workflows. Develop scalable, reproducible AI solutions within Databricks notebooks and job clusters, leveraging Delta Lake, MLflow, and Unity Catalog. Engineer Retrieval-Augmented Generation (RAG) workflows using vector search and integrate with Python-based matching logic. Build agent-based automation pipelines (rule-driven + GenAI agents) for anomaly detection, compliance validation, and harmonization logic. Implement explainability, audit trails, and governance-first AI workflows aligned with enterprise-grade MDM needs. Collaborate with data engineers, BI teams, and product owners to integrate GenAI outputs into downstream systems. Contribute to modular system design and documentation for long-term scalability and maintainability. Qualifications Bachelors/Masters in Computer Science, Artificial Intelligence, or related field. 7+ years of overall Data Science experience with 2+ years in Generative AI / LLM-based applications. Deep experience with Databricks ecosystem: Delta Lake, MLflow, DBFS, Databricks Jobs & Workflows. Strong Python and PySpark skills with ability to build scalable data pipelines and AI workflows in Databricks. Experience with LLMs (e.g., OpenAI, LLaMA, Mistral) and frameworks like LangChain or LlamaIndex. Working knowledge of vector databases (e.g., FAISS, Chroma) and prompt engineering for classification/retrieval. Exposure to MDM platforms (e.g., Stibo STEP) and familiarity with data harmonization challenges. Experience with explainability frameworks (e.g., SHAP, LIME) and AI audit tooling. Preferred Skills Knowledge of agentic AI architectures and multi-agent orchestration. Familiarity with Azure Data Hub and enterprise data ingestion frameworks. Understanding of data governance, lineage, and regulatory compliance in AI systems. Interview Process Step 1: Online Assessment Step 2: Technical Screenings 1: 1 Technical Screening with Technical Panel (45 mins) 1 Technical round with Senior Technical Panel (45 mins) Step 3: Technical Interviews 2 : 1 Technical rounds of Interview with Reporting Manager (45 mins) Agenda: To assess on technical parameters giving white board programming, problem solutioning and story telling 1 Technical rounds of Interview with Project Manager (45 mins) To assess on overall fitment Step 4: 1 Project Review (45 mins): 30 mins of presentation any chosen related topic with minimum 6 - 8 slides 10 - 15 mins Question and Answers by panels All interviewers will be part of the discussion. Step 5 : Client Interview (45 mins How to apply for this opportunity: Easy 3 Step Process: 1. Click On Apply and register or log in to our portal 2.Upload updated Resume & complete the Screening Form 3. Increase your chances of getting shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Mandatory Skills - Gen-AI, Data Science, Python, RAG and Cloud (AWS/Azure) Secondary - Machine Learning, Deep Learning, ChatGPT, Langchain, Prompt, vector stores, RAG, llama, Computer vision, Deep learning, Machine learning, OCR, Transformer, regression, forecasting, classification, hyper parameter tunning, MLOps, Inference, Model training, Model Deployment. Job Description More than 6 years of experience in Data Engineering, Data Science and AI / ML domain Excellent understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc. Experience using business intelligence tools (e.g. Tableau, PowerBI) and data frameworks (e.g. Hadoop) Experience in Cloud native skills. Knowledge of SQL and Python; familiarity with Scala, Java or C++ is an asset Analytical mind and business acumen and Strong math skills (e.g. statistics, algebra) Experience with common data science toolkits, such as TensorFlow, KERAs, PyTorch, PANDAs, Microsoft CNTK, NumPy etc. Deep expertise in at least one of these is highly desirable. Experience with NLP, NLG and Large Language Models like – BERT, LLaMa, LaMDA, GPT, BLOOM, PaLM, DALL-E, etc. Great communication and presentation skills. Should have experience in working in a fast-paced team culture. Experience with AIML and Big Data technologies like – AWS SageMaker, Azure Cognitive Services, Google Colab, Jupyter Notebook, Hadoop, PySpark, HIVE, AWS EMR etc. Experience with NoSQL databases, such as MongoDB, Cassandra, HBase, Vector databases Good understanding of applied statistics skills, such as distributions, statistical testing, regression, etc. Should be a data-oriented person with analytical mind and business acumen.

We are looking for a highly skilled and experienced professional to join our team as an Associate Manager in Data Engineering, Data Modelling, or Data Science. The ideal candidate will have a strong background in data analysis and engineering, with excellent problem-solving skills. Roles and Responsibility Design and develop scalable data pipelines and architectures to support business intelligence and analytics. Collaborate with cross-functional teams to identify and prioritize project requirements. Develop and maintain large-scale data models and databases to support business decision-making. Analyze complex data sets to identify trends and patterns, and provide actionable insights. Work closely with stakeholders to understand business needs and develop solutions that meet those needs. Stay up-to-date with industry trends and emerging technologies in data engineering and analytics. Job Requirements Strong understanding of data structures, algorithms, and software design patterns. Experience with big data technologies such as Hadoop, Spark, and NoSQL databases. Excellent problem-solving skills and the ability to analyze complex data sets. Strong communication and collaboration skills, with the ability to work with cross-functional teams. Ability to design and implement scalable data pipelines and architectures. Strong understanding of data modelling concepts and techniques. Educational qualifications: Any Graduate/Postgraduate degree.

About Gartner IT: Join a world-class team of skilled engineers who build creative digital solutions to support our colleagues and clients. We make a broad organizational impact by delivering cutting-edge technology solutions that power Gartner. Gartner IT values its culture of nonstop innovation, an outcome-driven approach to success, and the notion that great ideas can come from anyone on the team. About the role: We're seeking an experienced Data Scientist to join our growing Enterprise Data Science & AI team. In this role, you will serve as a technical expert in developing and implementing advanced machine learning/AI models and analytical solutions to improve Gartner's data quality and drive business value. You'll collaborate with cross-functional teams to identify data science and AI opportunities, solve complex business problems, and drive data-driven decision making across the organization. What you’ll do: Design, develop and deploy AI solutions to elevate the quality and depth of Gartner's data assets, ensuring high accuracy, reliability and completeness Lead the development of various predictive and optimization use cases. Follow best practices for data science methodologies, including coding standards, model validation and model monitoring Partner with business users to understand business requirements and translate data science solutions into business action items Collaborate with IT teams to identify and design data pipelines and infrastructure that supports data science model use cases Define success metrics and KPIs for data science projects and initiatives What you’ll need: Bachelor's degree or higher in Data Science, Computer Science, Statistics, Information Management, or related quantitative field 3-5 years of experience in data science, with a proven track record of successfully delivering data science and AI projects in business environments Strong programming skills in Python and experience with data science libraries (sklearn, pandas, NumPy, PyTorch/TensorFlow) Strong experience with large language models (LLMs) and generative AI applications Proficiency in SQL and experience with cloud-based data platforms (AWS or Azure) Excellent communication skills with the ability to translate complex technical concepts for non-technical audiences Knowledge of software development practices (version control, CI/CD, code review) Experience with MLOps tools and best practices for model deployment and monitoring Who you are: Effective time management skills and ability to meet deadlines Excellent communications skills interacting with technical and business audience’s Excellent organization, multitasking, and prioritization skills Must possess a willingness and aptitude to embrace new technologies/ideas and master concepts rapidly. Intellectual curiosity, passion for technology and keeping up with new trends Delivering project work on-time within budget with high quality Don’t meet every single requirement? We encourage you to apply anyway. You might just be the right candidate for this, or other roles. #LI-PM3 Who are we? At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert analysis and bold ideas to deliver actionable, objective insight, helping enterprise leaders and their teams succeed with their mission-critical priorities. Since our founding in 1979, we’ve grown to more than 21,000 associates globally who support ~14,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That’s why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here. What makes Gartner a great place to work? Our sustained success creates limitless opportunities for you to grow professionally and flourish personally. We have a vast, virtually untapped market potential ahead of us, providing you with an exciting trajectory long into the future. How far you go is driven by your passion and performance. We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients. Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations. We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work . What do we offer? Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers. In our hybrid work environment, we provide the flexibility and support for you to thrive — working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring. Ready to grow your career with Gartner? Join us. The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity. Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to ApplicantAccommodations@gartner.com . Job Requisition ID:101548 By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence. Gartner Applicant Privacy Link: https://jobs.gartner.com/applicant-privacy-policy For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser.

Produce written reports, problem statements, methods interpretation & business implications Data Analysis & Data Science using Agile principles Analyze claims, cases, data requirements Build models of severity analysis Exp Insurance Domain or Project Required Candidate profile Exp in EDA, Azure MS DevOps Snowflake, Databricks, Python/Spark, CI/CD, Sci-Kit Learn, Git AI implementation Algorithms Agile Principles Business & Data Analysis Statistics Random Forest Case Study

Key Responsibilities Collect, clean, and preprocess large datasets from multiple sources. Apply statistical analysis and machine learning techniques to solve business problems. Develop, validate, and deploy predictive models and algorithms. Visualize data insights and communicate findings to technical and non-technical stakeholders. Collaborate with product, engineering, and business teams to implement data-driven solutions. Monitor model performance and improve models based on new data and feedback. Stay current with emerging data science techniques and tools. Required Qualifications Bachelors or Masters degree in Computer Science, Statistics, Mathematics, or related field. Strong programming skills in Python, R, or similar languages. Experience with machine learning libraries (scikit-learn, TensorFlow, PyTorch, etc.). Proficient in SQL and database management. Knowledge of data visualization tools (Tableau, Power BI, matplotlib, etc.). Strong understanding of statistics, probability, and algorithms. Excellent problem-solving and communication skills.

Prioxis Technologies, formerly HypeTeq Software Solutions, is a leading provider of IT services and custom software solutions. With over 5 years of experience, the company has successfully delivered 100+ projects across various industries and employs more than 50 certified software developers. Based in multiple countries, Prioxis Technologies is a trusted Microsoft Gold Partner known for driving market innovation and technical excellence. Our expertise includes custom software development, cloud consulting, enterprise mobility, and more, all tailored to meet unique business needs. Location: on site (Malasia) Experience: 10+ years Start Date: Immediate Duration : 2-3 Months Key Responsibilities: Define and validate system integration architecture (Cloudera, OSIsoft PI, GIS, Oracle Service Bus, web interfaces). Oversee ETL/data flows (Informatica) and API deployments. Ensure cybersecurity compliance and long-term scalability of solutions. Collaborate with GE, the end client, and various technical stakeholders. Contribute to architecture reviews, data flow mapping, and documentation. Support UAT/SAT and identify technical risks and dependencies. Ideal Candidate: 10+ years in system architecture and integration, ideally in utilities or industrial projects. Strong command of real-time systems, ETL, APIs, and enterprise integration patterns. Experienced in tools like OSIsoft PI, Kibana dashboards, Informatica, Oracle Service Bus. Strong analytical thinker with top-notch communication skills. Comfortable working in diverse, multi-stakeholder environments. Fluent in English, both written and spoken. Qualifications: Bachelor's in Computer Science, Information Systems, Engineering, or related. Certifications like TOGAF or in cloud/integration architecture are a plus.

Job Responsibilities: Design, develop and implement solutions for a wide range of NLP use cases involving classification, extraction and search on unstructured text data Create and maintain state of the art scalable NLP solutions in Python/ Java/ Scala for multiple business problems. This involves: Choosing most appropriate NLP technique(s) based on business needs and available data Performing data exploration and innovative feature engineering Training and tuning a variety of NLP models / solutions which include regular expressions, traditional NLP models as well as SOTA transformer based models Augmenting models by integrating domain specific ontologies and/or external databases Reporting and Monitoring the solution outcome Work experience with document-oriented databases such as MongoDB Collaborate with ML engineering team to deploy NLP solutions in production - both on premise as well as cloud deployment Interact with clients and internal business teams to perform solution feasibility as well as design and develop solutions Open to working across different domains – Insurance, Healthcare and Financial Services etc. Required Skills: Experience (including graduate school) on training machine learning models, applying and developing text mining and NLP techniques Exposure to OCR and computer vision Experience in extracting content from documents is preferred Experience (including graduate school) with Natural Language Processing techniques is required Hands on experience with Natural Language Processing tools such as Stanford CORE-NLP, NLTK, spaCy, Gensim, Textblob etc. Experience/ Familiarity with document clustering in supervised un un-supervised scenarios Expertise in at least two of the state of the art techniques in NLP like BERT, GPT, XL Net etc. Applied experience of machine learning algorithms using Python Organized, self-motivated, disciplined and detail oriented Production level coding experience in Python is required Ability to read recent ML research papers and adapt those models to solve real-world problems Experience with any deep learning framework, including Tensorflow, Caffe, MxNet, Torch, Theano Experience with optimization on GPUs (a plus) Hands on experience with using cloud technologies on AWS/ Microsoft Azure is preferred

Major Duties & Responsibilities • Work with business stakeholders and cross-functional SMEs to deeply understand business context and key business questions • Create Proof of concepts (POCs) / Minimum Viable Products (MVPs), then guide them through to production deployment and operationalization of projects • Influence machine learning strategy for Digital programs and projects • Make solution recommendations that appropriately balance speed to market and analytical soundness • Explore design options to assess efficiency and impact, develop approaches to improve robustness and rigor • Develop analytical / modelling solutions using a variety of commercial and open-source tools (e.g., Python, R, TensorFlow) • Formulate model-based solutions by combining machine learning algorithms with other techniques such as simulations. • Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations, scenarios, and stories. • Create algorithms to extract information from large, multiparametric data sets. • Deploy algorithms to production to identify actionable insights from large databases. • Compare results from various methodologies and recommend optimal techniques. • Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations, scenarios, and stories. • Develop and embed automated processes for predictive model validation, deployment, and implementation • Work on multiple pillars of AI including cognitive engineering, conversational bots, and data science • Ensure that solutions exhibit high levels of performance, security, scalability, maintainability, repeatability, appropriate reusability, and reliability upon deployment • Lead discussions at peer review and use interpersonal skills to positively influence decision making • Provide thought leadership and subject matter expertise in machine learning techniques, tools, and concepts; make impactful contributions to internal discussions on emerging practices • Facilitate cross-geography sharing of new ideas, learnings, and best-practices Required Qualifications • Bachelor of Science or Bachelor of Engineering at a minimum. • 6+ years of work experience as a Data Scientist • A combination of business focus, strong analytical and problem-solving skills, and programming knowledge to be able to quickly cycle hypothesis through the discovery phase of a project • Advanced skills with statistical/programming software (e.g., R, Python) and data querying languages (e.g., SQL, Hadoop/Hive, Scala) • Good hands-on skills in both feature engineering and hyperparameter optimization • Experience producing high-quality code, tests, documentation • Experience with Microsoft Azure or AWS data management tools such as Azure Data factory, data lake, Azure ML, Synapse, Databricks • Understanding of descriptive and exploratory statistics, predictive modelling, evaluation metrics, decision trees, machine learning algorithms, optimization & forecasting techniques, and / or deep learning methodologies • Proficiency in statistical concepts and ML algorithms • Good knowledge of Agile principles and process • Ability to lead, manage, build, and deliver customer business results through data scientists or professional services team • Ability to share ideas in a compelling manner, to clearly summarize and communicate data analysis assumptions and results • Self-motivated and a proactive problem solver who can work independently and in teams