5437 Data Science Jobs - Page 4

You are a highly skilled and motivated AI & Software Integration Engineer who will be responsible for integrating artificial intelligence models into both existing and new software platforms. Your role involves bridging the gap between cutting-edge machine learning research and practical application, ensuring scalable, reliable, and secure implementation of AI systems. You will design, develop, and implement integration frameworks for AI models within various software environments. Collaboration with data scientists, backend developers, and product teams is key to ensuring seamless model deployment. Additionally, you will be building APIs and microservices to support AI functionality within applications, optimizing system performance, and ensuring that models are scalable, robust, and efficient. Monitoring and maintaining integrated systems in production environments is also part of your responsibilities. It is important to stay current with industry trends, tools, and best practices in AI and software engineering. This is a full-time position with benefits including health insurance and Provident Fund. The work shift will be either a night shift or a US shift, with workdays scheduled from Monday to Friday and availability required on weekends. The work location is in person. ,

Accenture is a global professional services company with leading capabilities in digital, cloud, and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations Services, and Accenture Song - all powered by the world's largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners, and communities. Entity: - Accenture Strategy & Consulting Practice: - Strategy & Consulting Global Network Team: CMT S&P Title: - Data Science Consultant Job location: - Hyderabad/Bangalore About the Team: The team is focused on driving Data & AI based solutions for SaaS and PaaS clients for Accenture. The team collaborates actively with onsite counterparts to help identify opportunities for growth as well as drives client deliveries from offshore.,

As a Measurement & Report Senior Analyst at Accenture, you will be part of the Finance Operations vertical, where you will play a key role in determining financial outcomes through the collection of operational data/reports, conducting analysis, and reconciling transactions. Your responsibilities will involve applying general accounting practices and utilizing scientific methods to extract valuable insights from structured and unstructured data. Your primary tasks will include designing and developing interactive dashboards and visual reports using tools like Power BI, Tableau, Looker, or similar software. You will be expected to create data stories that effectively communicate findings to both technical and non-technical audiences, process and analyze large datasets from multiple sources, and develop dashboards, reports, and key performance indicators (KPIs) that support various business functions. Collaboration with cross-functional teams to understand data requirements and deliver relevant insights will also be a key aspect of your role. In this position, you will be responsible for analyzing and solving increasingly complex problems independently. Your daily interactions will primarily involve peers within Accenture, with some level of engagement with clients and/or Accenture management. While you will receive minimal guidance on daily tasks, you can expect a moderate level of instruction for new assignments. Your decisions will directly impact your work and potentially influence the work of others. As an individual contributor or as a leader of a small team, you will oversee work efforts to achieve desired outcomes. Please note that this role may involve working in rotational shifts to meet business requirements. With Accenture's global presence and focus on digital, cloud, and security services, you will have the opportunity to leverage your expertise in finance and accounting, data science, and reporting to drive value and shared success for clients, partners, and communities across various industries. Join our team of 699,000 professionals who are committed to harnessing the power of technology and human ingenuity to deliver innovative solutions and make a positive impact worldwide. Visit www.accenture.com to explore more about our organization and the exciting opportunities we offer.,

You are a Senior Data Science Analyst with 3 to 8 years of experience, based in Chennai. Your primary responsibility will involve building complex risk and financial models. It is crucial for you to possess analytical thinking, problem-solving skills, and effective communication abilities to engage with stakeholders at all levels. Experience in developing credit risk models (PD, EAD, LGD) and working on model implementation is considered advantageous. Your track record of navigating complex business issues and aligning diverse perspectives will be highly valued in this role. You should have a background of 3 to 8 years in Risk & Marketing or financial services, coupled with a degree in Computer Science, Mathematics, or Statistics. Proficiency in Machine Learning, Data Science, and Risk Analytics concepts is essential. Additionally, a strong grasp of statistical and quantitative techniques, as well as proficiency in tools like SAS, R, Python, SQL, and Excel, will be beneficial for this position. This is a permanent role, and the updated date for this job posting is 25-06-2025. The Job ID is J_3789, and the location is in Chennai, Tamil Nadu, India.,

As an AI/ML, Data Science Engineer, you will have the exciting opportunity to be at the forefront of building the future of Observability powered by AI agents. If you are enthusiastic about working on Time-Series and Causal Analysis at scale, and eager to innovate and construct time-series LLMs, then this is the perfect role for you. The fast-paced startup environment will allow you to make a real impact as we redefine Observability with Agentic AI. Joining our team means you will have the chance to innovate alongside a dynamic team that is developing next-gen AI-driven infrastructure. Your contributions will play a significant role in shaping the next generation of Observability. As an early member of our AI/ML team, you will be hands-on in applying time-series and causal analytics to solve complex observability problems. Your responsibilities will include working on building model evaluation frameworks and innovating on constructing time-series LLMs. You will get the best of both worlds - the agility and innovation of a startup, coupled with the challenge of discovering deep hidden behavior patterns and causal relationships using traditional and new state-of-the-art methods. Working closely with a seasoned and talented founding team, who have successfully built multiple billion-dollar products from the ground up, will provide you with valuable insights into how things are developed from scratch in deep-technology startups. In this role, you will need to have hands-on experience with time-series algorithms, causal analytics, building model evaluations at scale, and deploying them in production. Additionally, expertise in Python, PyTorch, Causal Analysis & Time Series Analysis libraries is required. Your extensive experience in Time-Series Analysis, proven ability in building, deploying, and optimizing time-series models, expertise in Causal Analytics, and hands-on experience with large-scale structured and unstructured datasets will be crucial. You should have a deep understanding of MLOps pipelines, be proficient in LLM fine-tuning & distillation, and have a track record of developing robust, scalable ML pipelines. Passion for AI and leveraging cutting-edge technologies, curiosity, thinking differently to challenge inefficiencies in the status quo, and a problem-solver mindset are qualities we are looking for in potential candidates. Join us to be a key player in defining the future of Observability. If you are seeking a high-impact, high-growth opportunity, we would love to have a conversation with you.,

As a Manager, ML Ops Engineer at Genpact, you will be an integral part of the team responsible for building and maintaining the infrastructure and pipelines for cutting-edge Generative AI applications. Your role will involve collaborating closely with the Generative AI Full Stack Architect to ensure the efficiency, scalability, and reliability of Generative AI models in production. Your responsibilities will include designing, developing, and implementing ML/LLM pipelines for generative AI models, conducting research to explore new techniques, integrating GenAI APIs and microservices into existing systems, and automating ML tasks across the model lifecycle using tools like GitOps, CI/CD pipelines, and containerization technologies. Furthermore, you will be involved in MLOps support and maintenance on ML platforms Dataiku/Sagemaker, implementing version control, CI/CD pipelines, and containerization techniques, designing monitoring and alerting systems, and collaborating with infrastructure and DevOps teams for resource management. To qualify for this role, you should have a Bachelor's degree in computer science, Data Science, Engineering, or a related field, along with a deep understanding of generative AI concepts and experience in MLOps or related areas. Strong expertise in cloud platforms, CI/CD principles, containerization technologies, and monitoring tools is essential. Excellent communication, collaboration, and problem-solving skills are also required, along with a passion for Generative AI and its potential to transform industries. If you are looking to join a dynamic team at Genpact and contribute to the advancement of Generative AI technologies, we encourage you to apply for the Manager, ML Ops Engineer position in India-Bangalore. This is a full-time role with the opportunity to work on cutting-edge projects and make a significant impact in the field of AI. Join us on this exciting journey to shape the future with your expertise in ML Ops and Generative AI!,

The Department of Computer Science and Engineering, School of Computing, Amrita Vishwa Vidyapeetham, Amritapuri Campus is inviting applications from qualified candidates for the position of Assistant Professor / Associate Professor / Professor. Located in Kollam, Kerala, the department is looking to fill a total of 5 positions. The ideal candidates should hold a B.Tech, M.Tech, and Ph.D. in Computer Science & Engineering. Candidates with a Ph.D. or Post-Doc from a highly ranked (top 200) university will be given preference. Strong teaching experience, a robust research background, and graduation of PhD scholars are required for the Associate Professor and Professor roles. Research scholars who have submitted their PhD thesis are also encouraged to apply for the Assistant Professor position. Interested individuals with expertise in areas such as Robotics and Artificial Intelligence, Data Science, Cybersecurity & Networking, Parallel and Distributed Computing, Embedded Systems / Robotics, Computer Architecture and Specialization, Computational Biology, Computational Linguistics, Human-Computer Interface / Computer Graphics, Research in Speech / Signal Processing, Complex Networks / Knowledge Graphs / Web Analytics, Big Data Analytics, Cloud Computing, Web / Mobile / Game Development, and Theoretical Computer Science / Algorithms are invited to submit their C.V. with SCOPUS ID/ORCID and publication list to csjobs@am.amrita.edu. This position falls under the category of Teaching and the last date to apply is December 31, 2024. For further details, please contact csjobs@am.amrita.edu.,

This is a senior level position where you will be responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology team. Your main objective in this role will be to lead applications systems analysis and programming activities. In this role within the Market Risk department at Citi, you will be engaged in risk measurement using various methodologies and Risk Regulations. Your tasks will involve connecting to Centralized/FO Data providers to download all required data items for all the trades, proceeding with trade pricing, and risk calculation. Accuracy and performance are crucial to the success of these projects, and each project implementation needs to be optimal, performant, scalable, and with the best possible tech-stack to cater to the business needs. You will have regular interactions with Quants, Risk Analytics, Risk Manager, and FO IT teams. Collaboration with Quants to integrate their pricing libraries in tech solutions and perform various calculations will be essential. Daily pricing of trades, risk calculation, and reporting of all involved activities will be part of your responsibilities. Your responsibilities will include partnering with multiple management teams to ensure appropriate integration of functions, identifying and defining necessary system enhancements, resolving high impact problems/projects, providing expertise in areas of applications programming, and ensuring application design adheres to the overall architecture blueprint. You will also be required to develop comprehensive knowledge of how areas of business integrate to accomplish goals, provide in-depth analysis with interpretive thinking, and serve as an advisor or coach to mid-level developers and analysts. As a qualified candidate, you should be a highly experienced and skilled senior Python developer with data science understanding and 8-12 years of experience in software building and platform engineering. You should have extensive development expertise in building highly scaled and performant software platforms for data computation and processing, expert-level knowledge of core Python concepts and libraries, strong computer science fundamentals, and hands-on experience in writing SQL queries. Experience with Unix based operating systems, source code management tools, and banking domain like pricing and risk is a plus. Additionally, CFA/FRM certification is desirable. The ideal candidate will possess a Bachelors degree or equivalent experience, with a Masters degree being preferred. Strong analytical and logical skills, along with demonstrated leadership, project management skills, and clear communication abilities are essential for this role.,

Are you passionate about the intersection of data, technology, and science, and excited by the potential of Real-World Data (RWD) and AI Do you thrive in collaborative environments and aspire to contribute to the discovery of groundbreaking medical insights If so, join the data42 team at Novartis! At Novartis, we reimagine medicine by leveraging state-of-the-art analytics and our extensive internal and external data resources. Our data42 platform grants access to high-quality, multi-modal preclinical and clinical data, along with RWD, creating the optimal environment for developing advanced AI/ML models and generating health insights. Our global team of data scientists and engineers utilizes this platform to uncover novel insights and guide drug development decisions. As an RWD SME / RWE Execution Data Scientist, you will focus on executing innovative methodologies and AI models to mine RWD on the data42 platform. You will be the go-to authority for leveraging diverse RWD modalities patterns crucial to understanding patient populations, biomarkers, and drug targets, accelerating the development of life-changing medicines. Duties and Responsibilities: - Collaborate with R&D stakeholders to co-create and implement innovative, repeatable, scalable, and automatable data and technology solutions in line with data42 strategy. - Be a data SME, understand RWD of different modalities, vocabularies (LOINC, ICD, HCPCS, etc.), non-traditional RWD (Patient reported outcomes, Wearables and Mobile Health Data) and where and how they can be used, including in conjunction with clinical data, omics data, pre-clinical data, and commercial data. - Contribute to data strategy implementation such as Federated Learning, tokenization, data quality frameworks, regulatory requirements (submission data to HL7 FHIR formats conversion, Sentinel initiative), conversion to common data models and standards (OMOP, FHIR, SEND, etc.), FAIR principles, and integration with enterprise catalog. - Define and execute advanced integrated and scalable analytical approaches and research methodologies (including industry trends) in support of exploratory and regulatory using AI models for RWD analysis across the Research Development Commercial continuum by facilitating research questions. - Stay current with emerging applications and trends, driving the development of advanced analytic capabilities for data42 across the Real-world evidence generation lifecycle, from ideation to study design and execution. - Demonstrate high agility working across various cross-located and cross-functional associates across business domains (commercial, Development, Biomedical Research) or Therapeutic area divisions for our priority disease areas to execute complex and critical business problems with quantified business impact/ROI. - Draft and edit high-level research documents (proposals, protocols, statistical analysis plans). Ideal Candidate Profile: - PhD or MSc. in a quantitative discipline (e.g., but not restricted to Computer Science, Physics, Statistics, Epidemiology) with proven expertise in AI/ML. - 8+ years of relevant experience in Data Science (or 4+ years post-qualification in case of PhD). - Extensive experience in Statistical and Machine Learning techniques: Regression, Classification, Clustering, Design of Experiments, Monte Carlo Simulations, Statistical Inference, Feature Engineering, Time Series Forecasting, Text Mining, and Natural Language Processing, LLMs, and multi-modal Generative AI. - Good to have skills: Stochastic models, Bayesian Models, Markov Chains, Optimization techniques including, Dynamic Programming Deep Learning techniques on structured and unstructured data, Recommender Systems. - Proficiency in tools and packages: Python, R(optional), SQL; exposure to dashboard or web-app building using PowerBI, R-Shiny, Flask, open source or proprietary software and packages is an advantage. - Knowledge in data standards e.g. OHDSI OMOP, and other data standards, FHIR HL7 for regulatory, and best practices. - Good to have: Foundry, big data programming, working knowledge of executing data science on AWS, DataBricks, SnowFlake. - Strong in Matrix collaboration environments with good communication and collaboration skills with country/ regional/ global stakeholders in an individual contributor capacity. - High learning agility and adherence to updates in industry and area of work. - Optional Experience in Biomedical Research and development in pharma is a bonus. Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting, and inspiring each other. Combining to achieve breakthroughs that change patients" lives. Ready to create a brighter future together Join our Novartis Network: Not the right Novartis role for you Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up. Benefits and Rewards: Read our handbook to learn about all the ways we'll help you thrive personally and professionally. Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to [email protected] and let us know the nature of your request and your contact information. Please include the job requisition number in your message. Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.,

As a Senior Data Scientist, you will lead data-driven projects and play a key role in shaping the data science strategy of the organization. Your responsibilities will include developing advanced algorithms, managing large-scale datasets, and providing mentorship to junior team members. You will design and implement complex statistical models and machine learning algorithms, ensuring high-quality deliverables from project conception to deployment. Additionally, you will guide junior data scientists, collaborate with business stakeholders to define project objectives, and deliver actionable insights. To be successful in this role, you should hold a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. With at least 5 years of experience in data science, you must demonstrate a proven track record of leading successful projects. Deep understanding of advanced machine learning techniques, including deep learning and ensemble methods, is essential. Proficiency in programming languages like Python or R, experience with big data technologies (e.g., Apache Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP), and advanced data visualization skills are required. Moreover, you should possess excellent problem-solving and analytical skills with a strategic mindset. Strong communication and leadership skills are crucial for effectively influencing stakeholders at all levels. You will be expected to present findings to executive leadership and recommend data-driven strategies for business growth. In terms of business needs, you should be able to meet with different levels of management, understand industry-specific use cases, and handle clients across multiple industries simultaneously. Additionally, you must have the capability to create dashboards and build stories for top management presentations based on data insights.,

As a Data Scientist at Setu, you will play a crucial role in shaping the future of fintech by leveraging data science to understand the diverse fintech landscape in India. You will have the opportunity to explore, experiment, and develop critical and high-value use cases that contribute to the innovation and growth of multiple tech-enabled businesses. By joining our team, you will not only be keeping up with innovation but also setting the pace by introducing groundbreaking methods that enhance customer experiences and streamline operational processes. Your responsibilities will include demonstrating dedication and high ownership towards Setu's mission and vision, consistently creating value for customers and stakeholders, ensuring excellence in all aspects of work, efficiently managing time and tasks, and adapting quickly to new roles and responsibilities. To excel in this role, you should have at least 2 years of experience in Data Science/Machine Learning, strong knowledge in statistics and various machine learning techniques, proficiency in Python programming, experience in building Data Pipelines, and proficiency in tools like pandas, sci-kit-learn, SQL, and TensorFlow/PyTorch. At Setu, we are committed to empowering you to do impactful work by providing opportunities to collaborate closely with the founding team, access to learning and development resources, comprehensive health insurance, mental health support, and a diverse and inclusive work environment. Our core culture code, "How We Move", emphasizes behaviors such as quick decision-making, mastery of skills, leadership, taking ownership, empowering others, and innovation for the customer and beyond. Join us at Setu if you are passionate about making a tangible difference in the fintech landscape and contributing to financial inclusion by embracing an audacious mission and a commitment to craftsmanship in code.,

Are you passionate about the intersection of data, technology, and science, and excited by the potential of Real-World Data (RWD) and AI Do you thrive in collaborative environments and aspire to contribute to the discovery of groundbreaking medical insights If so, join the data42 team at Novartis! At Novartis, we reimagine medicine by leveraging state-of-the-art analytics and our extensive internal and external data resources. Our data42 platform grants access to high-quality, multi-modal preclinical and clinical data, along with RWD, creating the optimal environment for developing advanced AI/ML models and generating health insights. Our global team of data scientists and engineers utilizes this platform to uncover novel insights and guide drug development decisions. As an RWD SME / RWE Execution Data Scientist, you will focus on executing innovative methodologies and AI models to mine RWD on the data42 platform. You will be the go-to authority for leveraging diverse RWD modalities patterns crucial to understanding patient populations, biomarkers, and drug targets, accelerating the development of life-changing medicines. Duties and Responsibilities: - Collaborate with R&D stakeholders to co-create and implement innovative, repeatable, scalable, and automatable data and technology solutions in line with the data42 strategy. - Be a data subject matter expert (SME), understand RWD of different modalities, vocabularies (LOINC, ICD, HCPCS, etc.), non-traditional RWD (Patient reported outcomes, Wearables and Mobile Health Data) and where and how they can be used. - Contribute to data strategy implementation such as Federated Learning, tokenization, data quality frameworks, regulatory requirements, conversion to common data models and standards, FAIR principles, and integration with enterprise catalog. - Define and execute advanced integrated and scalable analytical approaches and research methodologies using AI models for RWD analysis across the Research Development Commercial continuum. - Stay current with emerging applications and trends, driving the development of advanced analytic capabilities for data42 across the Real-world evidence generation lifecycle. - Demonstrate high agility working across various cross-located and cross-functional associates across business domains for priority disease areas to execute complex and critical business problems with quantified business impact. Ideal Candidate Profile: - PhD or MSc. in a quantitative discipline with proven expertise in AI/ML. - 8+ years of relevant experience in Data Science. - Extensive experience in Statistical and Machine Learning techniques. - Proficiency in tools and packages like Python, SQL, and exposure to dashboard or web-app building. - Knowledge in data standards e.g. OHDSI OMOP, FHIR HL7, and other data standards. - Strong collaboration skills with stakeholders in an individual contributor capacity. - High learning agility and adherence to updates in the industry and area of work. - Optional experience in Biomedical Research and development in pharma is a bonus. Join our Novartis Network: Not the right Novartis role for you Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up. Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If you need accommodation, please send an e-mail to [email protected] and let us know your request and contact information. Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.,

You will be stepping into the role of Lead AI Data Scientist with our client's team based in Ahmedabad. Your primary responsibility will involve spearheading the development of advanced machine learning and deep learning models to tackle intricate business challenges. By managing project timelines, scope, and deliverables, you will ensure timely completion while upholding quality standards. Your role will also entail designing and executing machine learning models and AI applications, custom-tailored for both internal and customer-centric solutions. Your expertise will be put to the test as you engage in XML regression analysis and the construction of robust C++ pipelines for data processing. Constant optimization of models for enhanced performance, accuracy, and scalability will be key, all the while considering real-world constraints such as latency and interpretability. In addition, you will play a crucial role in developing tools aimed at boosting personal and organizational productivity, in collaboration with cross-functional teams to identify automation prospects. You will oversee the data pipeline and infrastructure, ensuring data quality, consistency, and accessibility for seamless model development. Your analytical skills will be put to good use as you delve into complex datasets to extract actionable insights. Lastly, your involvement in strategic brainstorming sessions will align AI initiatives with the company's overarching vision. To thrive in this role, you should possess a Bachelor's or Master's degree in data science, Computer Science, or a related field. Proficiency in XML regression analysis and C++ programming is a must, along with familiarity with machine learning frameworks like TensorFlow and PyTorch. Strong problem-solving abilities, a deep-rooted passion for AI, and effective communication skills are all essential traits for success in this position. As a part of our team, you will have the opportunity to work on cutting-edge AI technologies in a collaborative and innovative work environment. In addition to a competitive salary, we offer a comprehensive benefits package and ample opportunities for career growth within our fast-evolving company.,

As a Senior Data Scientist I at Dotdash Meredith, you will collaborate with the business team to understand problems, objectives, and desired outcomes. Your primary responsibility will be to work with cross-functional teams to assess data science use cases & solutions, lead and execute end-to-end data science projects, and collaborate with stakeholders to ensure alignment of data solutions with business goals. You will be expected to build custom data models with an initial focus on content classification, utilize advanced machine learning techniques to improve model accuracy and performance, and build necessary visualizations to interpret data models by business teams. Additionally, you will work closely with the engineering team to integrate models into production systems, monitor model performance in production, and make improvements as necessary. To excel in this role, you must possess a Masters degree (or equivalent experience) in Data Science, Mathematics, Statistics, or a related field with 3+ years of experience in ML/Data Science/Predictive-Analytics. Strong programming skills in Python and experience with standard data science tools and libraries are essential. Experience or understanding of deploying machine learning models in production on at least one cloud platform is required, and hands-on experience with LLMs API and the ability to craft effective prompts are preferred. It would be beneficial to have experience in the Media domain, familiarity with vector databases like Milvus, and E-commerce or taxonomy classification experience. In this role, you will have the opportunity to learn about building ML models using industry-standard frameworks, solving Data Science problems for the media industry, and the use of Gen AI in Media. This position is based in Eco World, Bengaluru, with shift timings from 1 p.m. to 10 p.m. IST. If you are a bright, engaged, creative, and fun individual with a passion for data science, we invite you to join our inspiring team at Dotdash Meredith India Services Pvt. Ltd.,

The role requires you to design and implement data modeling solutions using relational, dimensional, and NoSQL databases. You will closely collaborate with data architects to create customized databases utilizing a blend of conceptual, physical, and logical data models. As a data modeler, your responsibilities include designing, implementing, and documenting data architecture and modeling solutions across various database types to support enterprise information management, business intelligence, machine learning, and data science initiatives. Your key responsibilities will involve implementing business and IT data requirements by devising new data strategies and designs for different data platforms and tools. You will engage with business and application teams to execute data strategies, establish data flows, and develop conceptual, logical, and physical data models. Moreover, you will define and enforce data modeling standards, tools, and best practices, while also identifying architecture, infrastructure, data interfaces, security considerations, analytic models, and data visualization aspects. Additionally, you will undertake hands-on tasks such as modeling, design, configuration, installation, performance tuning, and sandbox proof of concept. It is crucial to work proactively and independently to fulfill project requirements, communicate challenges effectively, and mitigate project delivery risks. Qualifications required for this role include a BE/B.Tech degree or equivalent and a minimum of 8 years of hands-on experience in relational, dimensional, and/or analytic domains, involving RDBMS, dimensional, NoSQL platforms, and data ingestion protocols. Proficiency in data warehouse, data lake, and big data platforms within multi-data-center environments is essential. Familiarity with metadata management, data modeling tools (e.g., Erwin, ER Studio), and team management skills are also necessary. Your primary skills should encompass developing conceptual, logical, and physical data models, implementing RDBMS, ODS, data marts, and data lakes, and ensuring optimal data query performance. You will be responsible for expanding existing data architecture and employing best practices. The ability to work both independently and collaboratively is vital for this role. Preferred skills for this position include experience with data modeling tools and methodologies, as well as strong analytical and problem-solving abilities.,

It is exciting to be part of a company where individuals wholeheartedly BELIEVE in the mission! The company is dedicated to bringing enthusiasm and a customer-centric approach to the operations. As a Data Scientist, you will be required to work on the end-to-end data science pipeline, demonstrating the ability to meticulously design efficient data models, training data samples, training pipelines, and inference pipelines to ensure reproducibility. You should possess a strong background in evaluating various AI/ML outputs and models such as recommender systems, similarity scoring, classification, and regression. Your role will involve breaking down complex business challenges into manageable sub-tasks that can be addressed with AI/ML solutions to facilitate decision-making at scale. A solid understanding of statistical concepts and empirical methods that influence post-modeling decisions like sorting, ranking, and selection is essential. You must have substantial experience in transitioning Proof of Concepts (PoCs) and experimental models into production-grade AIML systems. Collaborating effectively with ML engineering and MLOps teams is crucial to deploying AI/ML models, constructing and serving models through APIs, and integrating AI/ML models into web applications. The role requires the ability to lead mid-sized teams, strategize project tracks centered around AI/ML and data science, and strike a balance between delegation and hands-on development. Applying a first-principles approach to tackle data science problems, communicating data requirements to data engineering teams, and elucidating model outputs to business users are key responsibilities. Engaging with business users to comprehend requirements and translating them into technical data science challenges is imperative. Effectively communicating and translating model algorithms and outputs to non-technical users and stakeholders is expected. Proficiency in agile methodologies and project management practices is essential. Creating efficient user stories and other agile project artifacts should come naturally. If you thrive in a dynamic environment and enjoy collaborating with enthusiastic high-achievers, a rewarding career opportunity awaits you here! If this opportunity does not align with your current aspirations, please express your interest in future openings by clicking on Introduce Yourself in the top-right corner of the page or setting up email alerts for relevant job postings.,

As a DECISION SCIENCE JUNIOR ANALYST at HSBC, you will play a crucial role in supporting the business by providing strategic input for senior management, enabling effective decision-making, and addressing unforeseen challenges. Leveraging data and analytics capabilities, you will contribute to smarter decisions and drive profitable growth across various domains such as Regulatory, Operations, Procurement, Human Resources, and Financial Crime Risk. Your responsibilities will include data analysis, model and strategy development & implementation, Business Intelligence, reporting, and data management. You will work on a variety of business problems related to business growth, customer experience enhancement, risk exposure limitation, capital quantification, and internal business process improvement. Proactively identifying emerging compliance risks and proposing innovative solutions will be part of your role. Leading cross-functional projects using advanced data modeling and analysis techniques, you will uncover insights to guide strategic decisions and identify optimization opportunities. In the midst of regulatory changes, you will maintain a strong understanding of regulatory developments and compliance risk management. Delivering repeatable and scalable analytics through the semi-automation of Financial Crime Risk and Regulatory Compliance Risk Assurance controls testing will also be a key aspect of your role. Requirements for this position include a Bachelor's degree in statistics, economics, or related quantitative fields, along with 1-4 years of experience in Automation & Analytics. Strong analytical skills, business analysis experience, and basic knowledge of financial services/banking operations are essential. Proficiency in Python, data science tools, visualization tools like QlikSense, SQL/ETL tools, big data tools (Teradata, Hadoop), cloud technologies (GCP/AWS/Azure), and data engineering skills are advantageous. Experience in data science, machine learning algorithms, and building data pipelines using modern tools/libraries will be beneficial. Join HSBC and be part of a team that values your contributions and offers opportunities for personal and professional growth. Your work will have a direct impact on enabling businesses to thrive, economies to prosper, and individuals to achieve their aspirations.,

This is a key position that will play a pivotal role in creating data-driven technology solutions to establish our client as a leader in healthcare, financial, and clinical administration. As the Lead Data Scientist, you will be instrumental in building and implementing machine learning models and predictive analytics solutions that will spearhead the new era of AI-driven innovation in the healthcare industry. Your responsibilities will involve developing and implementing a variety of ML/AI products, from conceptualization to production, to help the organization gain a competitive edge in the market. Working closely with the Director of Data Science, you will operate at the crossroads of healthcare, finance, and cutting-edge data science to tackle some of the most intricate challenges faced by the industry. This role presents a unique opportunity within VHT's Product Transformation division to create pioneering machine learning capabilities from scratch. You will have the chance to shape the future of VHT's data science & analytics foundation, utilizing state-of-the-art tools and methodologies within a collaborative and innovation-focused environment. Key Responsibilities: - Lead the development of predictive machine learning models for Revenue Cycle Management analytics, focusing on areas such as: - Claim Denials Prediction: identifying high-risk claims before submission - Cash Flow Forecasting: predicting revenue timing and patterns - Patient-Related Models: enhancing patient financial experience and outcomes - Claim Processing Time Prediction: optimizing workflow and resource allocation - Explore emerging areas and integration opportunities, e.g., denial prediction + appeal success probability or prior authorization prediction + approval likelihood models. VHT Technical Environment: - Cloud Platform: AWS (SageMaker, S3, Redshift, EC2) - Development Tools: Jupyter Notebooks, Git, Docker - Programming: Python, SQL, R (optional) - ML/AI Stack: Scikit-learn, TensorFlow/PyTorch, MLflow, Airflow - Data Processing: Spark, Pandas, NumPy - Visualization: Matplotlib, Seaborn, Plotly, Tableau Required Qualifications: - Advanced degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field - 5+ years of hands-on data science experience with a proven track record of deploying ML models to production - Expert-level proficiency in SQL and Python, with extensive experience using standard Python machine learning libraries (scikit-learn, pandas, numpy, matplotlib, seaborn, etc.) - Cloud platform experience, preferably AWS, with hands-on knowledge of SageMaker, S3, Redshift, and Jupyter Notebook workbenches (other cloud environments acceptable) - Strong statistical modeling and machine learning expertise across supervised and unsupervised learning techniques - Experience with model deployment, monitoring, and MLOps practices - Excellent communication skills with the ability to translate complex technical concepts to non-technical stakeholders Preferred Qualifications: - US Healthcare industry experience, particularly in Health Insurance and/or Medical Revenue Cycle Management - Experience with healthcare data standards (HL7, FHIR, X12 EDI) - Knowledge of healthcare regulations (HIPAA, compliance requirements) - Experience with deep learning frameworks (TensorFlow, PyTorch) - Familiarity with real-time streaming data processing - Previous leadership or mentoring experience,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Master Data Management Solution Architect The opportunity We're looking for a Manager as a Master Data Management Solution Architect to join the Supply Chain, Finance group of EY GDS consulting Team. This is a fantastic opportunity to be part of a leading firm while being instrumental in the growth of a new service offering. Your Key Responsibilities You know how to collect and identify business requirements and translate these into functional requirements and acceptance criteria. You combine technical affinity with excellent soft skills to align both technical and business stakeholders and drive change. You have a can-do attitude; you take ownership of the project to ensure a timely delivery & scalable solution through strong project management capabilities. Proactive with Solution-oriented mindset, ready to learn new technologies for Client requirements. Responsible for planning and coordinating the implementation of MDM projects and ensuring that they are completed on time and within budget. Skills And Attributes For Success System Implementation and Maintenance: - Understanding of MDM principles, architectures, and processes. - Design, implement, and maintain MDM systems and processes. - Collaborate with IT and other departments to ensure system integration and data flow. - Manage data migration and transformation processes. - Experience with MDM platforms, such as Informatica MDM, SAP Master Data Governance, or Oracle MDM. - Should have exposure and knowledge of the pros and cons of different MDM products and be able to recommend the best fit MDM product based on client requirements. Data Governance and Strategy: - Develop and implement data management strategies, ensuring data accuracy, consistency, and completeness. - Establish and enforce data governance policies and procedures. - Define and maintain data standards and processes. Data Quality and Integrity: - Ensure data quality and accuracy across all business systems. - Identify and resolve data-related issues and inconsistencies. - Maintain a trusted single source of accurate data. To qualify for the role, you must have Experience with designing and implementing the overall MDM architecture and interfaces, including critical data integration, data modeling, and data migration for both customer data and enterprise data. Ideally, you'll also have - Strong knowledge of product, customer master data design as per TM Forum standards. - Expertise in data handling to resolve any data issues. - Candidate should be eager to learn advanced technologies, new product updates, etc., and learn and train other team members. - Good verbal and written communication in English, Strong interpersonal, analytical, and problem-solving abilities. - Experience of interacting with customers in understanding business requirement documents and translating them into BI specifications and High- and Low-level design documents. What We Look For Education: Bachelor's/Masters degree in a related field (e.g., data science, information technology, business administration). Experience: Proven experience in data management, data governance, and/or MDM. Technical Skills: Knowledge of MDM tools and technologies, database management systems, and data integration platforms. Soft Skills: Strong analytical, problem-solving, and communication skills. Leadership and Management Skills: Ability to lead and motivate a team. Industry Knowledge: Understanding of relevant industry standards and regulation. What Working At EY Offers At EY, we're dedicated to helping our clients, from startups to Fortune 500 companies, and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: - Support, coaching, and feedback from some of the most engaging colleagues around. - Opportunities to develop new skills and progress your career. - The freedom and flexibility to handle your role in a way that's right for you. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people, and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate. Working across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.,

Join the leader in entertainment innovation and help design the future at Dolby. At Dolby, science meets art, and high tech means more than computer code. As a member of the Dolby team, you'll see and hear the results of your work everywhere, from movie theaters to smartphones. Dolby continues to revolutionize how people create, deliver, and enjoy entertainment worldwide. To achieve this, Dolby seeks the absolute best talent. Dolby offers a collegial culture, challenging projects, excellent compensation and benefits, and a Flex Work approach that is truly flexible to support where, when, and how you do your best work. At Dolby, the aim is to change the way the world experiences sight and sound. Dolby enables people to experience music, movies, videos, and pictures in all their intended grandeur, making life and work more meaningful and immersive. Dolby provides technology to content creators, owners, distributors, manufacturers of TV, mobile, and PC, as well as social and media platforms, so they can truly delight their customers. Advanced Technology Group (ATG) is the research and technology arm of Dolby Labs, focusing on innovating technologies in audio, video, AR/VR, gaming, music, and movies. Various areas of expertise related to computer science and electrical engineering are highly relevant to the research conducted by ATG. As a talented Applied Researcher at Dolby, you will have the opportunity to advance the state of the art in technologies of interest to Dolby and society at large. Research areas at Dolby Laboratories include large-scale cloud and edge data platforms and services, accelerating insight discovery from data, and topics such as distributed systems, stream processing, edge computing, applied machine learning and AI, big graphs, natural language processing, big data management, and heterogeneous data analytics. Key Responsibilities: - Develop platforms and tools to enable interactive and immersive data-driven experiences utilizing AI-based techniques. - Deploy AI/ML training and inference algorithms in distributed computing environments. - Partner with ATG researchers on opportunities in adjacent research domains such as applied AI and machine learning in audio/video domains. Requirements for Success: - Technical depth: Ability to implement scalable AI/ML libraries and platforms for real-time processing and knowledge of Audio/Video streaming formats. - Openness to explore new technologies and innovate in new areas. - Ability to invent and innovate technologies that enhance the sight and sound associated with digital content consumption. - Sense of urgency to respond to changing trends and technologies. - Collaborative mindset to work with peers and external partners to develop industry-leading technologies. Background: - PhD in Computer Science or related field with proven R&D experience or exceptional Master's candidates with 4+ years of experience. - Expertise in deep learning frameworks and ML libraries such as TensorFlow, PyTorch, scikit-learn, Spark MLLib. - Experience in large-scale distributed systems like Hadoop, Spark, etc. - Proficiency in Python, C++, or related languages. - Strong analytical, problem-solving, communication, and presentation skills. - Experience with AWS, GCP, DevOps, CI/CD, and UNIX/Linux commands. - Strong publication record in leading IEEE, ACM conferences and journals. Join Dolby and be part of a team that is shaping the future of entertainment technology with innovative research and cutting-edge solutions.,

Join the Agentforce team in AI Cloud at Salesforce and make a real impact with your software designs and code! This position requires technical skills, outstanding analytical and influencing skills, and extraordinary business insight. It is a multi-functional role that requires building alignment and communication with several engineering organizations. We work in a highly collaborative environment, and you will partner with a highly cross-functional team comprised of Data Scientists, Software Engineers, Machine learning engineers, UX experts, and product managers to build upon Agentforce, our cutting edge new AI framework. We value execution, clear communication, feedback and making learning fun. Your impact - You will: Architect, design, implement, test, and deliver highly scalable AI solutions: Agents, AI Copilots/assistants, Chatbots, AI Planners, RAG solutions. Be accountable for defining and driving software architecture and enterprise capabilities (scalability, fault tolerance, extensibility, maintainability, etc.) Independently design sophisticated software systems for high-end solutions, while working in a consultative fashion with other senior engineers and architects in AI Cloud and across the company Determine overall architectural principles, frameworks, and standards to craft vision and roadmaps Analyze and provide feedback on product strategy and technical feasibility Drive long-term design strategies that span multiple sophisticated projects, deliver technical reports and performance presentations to customers and at industry events Actively communicate with, encourage and motivate all levels of staff. Be a subject matter expert for multiple products, while writing code and working closely with other developers, PM, and UX to ensure features are delivered to meet business and quality requirements Troubleshoot complex production issues and interface with support and customers as needed Drives long-term design strategies that span multiple sophisticated projects, deliver technical reports and performance presentations to customers and at industry events Required Skills: 12+ years of experience in building highly scalable Software-as-a-Service applications/platform Experience building technical architectures that address complex performance issues Thrive in dynamic environments, working on cutting edge projects that often come with ambiguity. Innovation/startup mindset to be able to adapt Deep knowledge of object-oriented programming and experience with at least one object-oriented programming language, preferably Java Proven ability to mentor team members to support their understanding and growth of software engineering architecture concepts and aid in their technical development High proficiency in at least one high-level programming language and web framework (NodeJS, Express, Hapi, etc.) Proven understanding of web technologies, such as JavaScript, CSS, HTML5, XML, JavaScript, JSON, and/or Ajax Data model design, database technologies (RDBMS & NoSQL), and languages such as SQL and PL/SQL Experience delivering or partnering with teams that ship AI products at high scale. Experience in automated testing including unit and functional testing using Java, JUnit, JSUnit, Selenium Demonstrated ability to drive long-term design strategies that span multiple complex projects Experience delivering technical reports and presentations to customers and at industry events Demonstrated track record of cultivating strong working relationships and driving collaboration across multiple technical and business teams to resolve critical issues Experience with the full software lifecycle in highly agile and ambiguous environments Excellent interpersonal and communication skills. Preferred Skills: Solid experience in API development, API lifecycle management, and/or client SDKs development Experience with machine learning or cloud technology platforms like AWS SageMaker, Terraform, Spinnaker, EKS, GKE Experience with AI/ML and Data science, including Predictive and Generative AI Experience with data engineering, data pipelines or distributed systems Experience with continuous integration (CI) and continuous deployment (CD), and service ownership Familiarity with Salesforce APIs and technologies Ability to support/resolve production customer escalations with excellent debugging and problem-solving skills,

About the job: We are seeking a proactive and detail-oriented AI associate to support our AI initiatives across product development, machine learning, data analysis, and automation projects. You will work closely with data scientists, software engineers, and product teams to build intelligent systems that drive real-world impact. This is an excellent opportunity for someone passionate about AI/ML who wants to work in a high-impact, fast-paced environment. Key Responsibilities: 1. Assist in the design, development, and deployment of AI/ML models (classification, regression, NLP, computer vision, etc.) 2. Support data collection, preprocessing, and annotation processes. 3. Conduct literature reviews and apply state-of-the-art algorithms to real-world problems. 4. Collaborate with cross-functional teams to integrate AI models into applications and systems. 5. Monitor model performance and retrain models as needed to improve accuracy and reliability. 6. Document workflows, experiments, and results for technical and non-technical stakeholders. 7. Stay updated with the latest trends and research in artificial intelligence and machine learning. Why join us: 1. Opportunity to work on cutting-edge AI applications in a supportive and innovation-driven environment. 2. Learn from a team of experienced AI/ML practitioners and researchers. 3. Competitive compensation and growth trajectory. 4. Flexible work environment with a culture of continuous learning. Who can apply: Only those candidates can apply who: Salary: ₹ 2,50,000 - 3,00,000 /year Experience: 0 year(s) Deadline: 2025-08-31 23:59:59 Other perks: 5 days a week, Health Insurance, Life Insurance Skills required: Python, Data Structures, Machine Learning and Data Science Other Requirements: Required qualifications: 1. Bachelor’s or master’s degree in computer science, artificial intelligence, data science, or a related field. 2. Hands-on experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). 3. Solid understanding of core ML concepts including supervised/unsupervised learning, deep learning, and model evaluation metrics. 4. Programming proficiency in Python (preferred) or R. 5. Experience working with structured and unstructured data. 6. Familiarity with SQL, data wrangling, and visualization tools. Preferred skills: 1. Exposure to natural language processing (NLP) or computer vision projects. 2. Experience using cloud platforms like AWS, Google Cloud, or Azure. 3. Knowledge of MLOps and model deployment tools (e.g., Docker, MLflow). 4. Ability to interpret research papers and apply findings to practical scenarios. 5. Excellent analytical, problem-solving, and communication skills. About Company: Welcome to Cognavi - the fusion of innovation and legacy! A subsidiary of Forum Engineering Japan, listed on the Tokyo Stock Exchange and leading in the HR Tech industry for over 40 years, Cognavi India is an AI-driven platform transforming employer hiring processes. Our mission? We're here to close the gap between students, recruiters, and universities through a game-changing AI-driven ecosystem. Think streamlined hiring flows with features like soft skills matching AI, technical skills matching AI, video interview AI, and skill assessments.

This job is based in Australia. As a Research Associate in Data Science and AI at UNSW Canberra, you will be employed on a fixed-term, full-time basis for up to 24 months. Your remuneration will be at Level A, Step 6, amounting to $110,059 plus 17% superannuation. The position is located at the UNSW Canberra campus at ADFA. UNSW Canberra is part of the University of New South Wales (UNSW) and is known for its commitment to thoughtfulness, practicality, and purpose in all endeavors. The university's impact and recognition as one of the top 20 universities globally, as well as a member of Australia's esteemed Group of Eight, are a result of this combined approach. Joining UNSW means embracing an environment that encourages thriving, facing challenges, and engaging in meaningful work. Excellence and meaningful contributions are at the core of the university experience. Your role as a Research Associate is crucial as part of the Defence Trailblazer Program, a partnership aimed at strengthening Australia's defence capabilities. Your responsibilities will include conducting research in multidisciplinary settings focusing on aviation research, particularly in the use of Uncrewed Aerial Systems (UAS) and Artificial Intelligence (AI). You will be involved in research activities, summarizing results, and performing various research administrative duties. To excel in this role, you should possess a PhD in Data Science, Artificial Intelligence, or Machine Learning. Previous research experience in Aviation, Human Factors, or related fields is preferred. Proactive knowledge updates, high-quality academic research skills, independence in research, collaboration abilities, and effective communication with stakeholders and students are essential. In addition to a competitive salary, working at UNSW offers benefits such as superannuation contributions, employee discounts, additional leave during the festive period, a commitment to lifelong learning, and a focus on maintaining a healthy work-life balance. Applicants must have Australian Working Rights, as visa sponsorship is not available for this position. Pre-employment checks will be conducted as per the Position Description. To apply, submit your CV and a 2-page cover letter addressing the required skills and experience online before Friday 31st January 2025. For further details about the position, contact o.molloy@unsw.edu.au. For application queries, reach out to h.whale@unsw.edu.au. UNSW values equity, diversity, and inclusion, encouraging applications from individuals of various backgrounds. Workplace adjustments and flexible work options are available for eligible staff.,

The US Healthcare Recruiter position at Allime Tech Solutions Pvt. Ltd. in Hyderabad requires a minimum of 4 years of experience in recruitment. As a US Healthcare Recruiter, your primary responsibility will be to source, screen, and recruit qualified candidates for various healthcare roles. These roles include Medical Billing Specialists, Accounts Receivable (AR) Follow-up Specialists, Coding and Compliance Officers, Healthcare Business Analysts, Project Managers, and more. You will collaborate with hiring managers and department heads to understand recruitment needs thoroughly. Please refrain from applying if your profile does not align with the job description or the required qualifications. We value relevant applications to ensure a productive recruitment process. Feel free to share this opportunity with potential candidates to broaden our reach to job seekers. Allime Tech Solutions is dedicated to fostering innovation through technology and connecting talent with opportunities. Our mission is to create a future where everyone can thrive by providing tailored solutions for our clients. We uphold values of integrity and excellence in all our endeavors. Thank you for considering a career at Allime Tech Solutions Pvt. Ltd.,

You should hold a Bachelor's degree in Physics, Mathematics, Engineering, Metallurgy, or Computer Science, along with an MSc in a relevant field such as Physics, Mathematics, Engineering, Computer Science, Chemistry, or Metallurgy. Additionally, you should possess at least 8 years of experience in Data Science and Analytics delivery. Your expertise should include deep knowledge of machine learning, statistics, optimization, and related fields. Proficiency in programming languages like R and Python is essential, as well as experience with machine learning skills such as Natural Language Processing (NLP) and deep learning techniques. Furthermore, you should have hands-on experience with deep learning frameworks like TensorFlow, Keras, Theano, or PyTorch, and be familiar with working with large datasets, including knowledge of extracting data from cloud platforms and the Hadoop ecosystem. Experience in Data Visualization tools like MS Power BI or Tableau, as well as proficiency in SQL and working with RDBMS for data extraction and management, is required. An understanding of Data Warehouse fundamentals, experience in productionizing Machine Learning models in cloud platforms like Azure, GCP, or AWS, and domain experience in the manufacturing industry would be advantageous. Demonstrated leadership skills in nurturing technical talent, successfully completing complex data science projects, and excellent written and verbal communication are essential. As an AI Expert with a minimum of 10 years of experience, your key responsibilities will include serving as a technical expert, providing guidance in the development and implementation of AI solutions, and collaborating with cross-functional teams to integrate AI technologies into products and services. You will actively participate in Agile methodologies, contribute to PI planning, and support the technical planning of products. Additionally, you will analyze technical requirements, propose AI-based solutions, collaborate with stakeholders to design AI models that meet business objectives, and stay updated on the latest advancements in AI technologies. Your role will involve conducting code reviews, mentoring team members, and driving the adoption of AI technologies across the organization. Strong problem-solving skills, a proactive approach to problem resolution, and the ability to work under tight deadlines without compromising quality are crucial for this role. Overall, you will play a critical role in driving significant impact and value in building and growing the Data Science Centre of Excellence, providing machine learning methodology leadership, and designing various POCs using ML/DL/NLP solutions for enterprise problems. Your ability to learn new technologies and techniques, work in a fast-paced environment, and partner with the business to unlock value through data projects will be key to your success in this position.,