Job description Job Title: Manager, BI Developer, Data Analytics Career Level - D Introduction to role The person carrying this role will play a key part in the design, development, and maintenance of analytics and reporting solutions in support of the Global Regulatory business. The role will focus on tactical and operational activities, ensuring the effective delivery of data-driven insights that enhance regulatory compliance and data quality. This role requires a strong technical background in data analysis, data design, visualization, and reporting tools and frameworks, as well as the ability to collaborate effectively with cross-functional teams to deliver high-value-adding solutions to the business. Accountabilities Collaborate with senior team members and cross-functional teams to assist in the design, development, and testing of analytics and reporting solutions to meet business requirements. Contribute to the identification, gathering, and analysis of data from various data domains and sources to support regulatory submissions and compliance activities. Assist in the development and maintenance of data models, dashboards, and reports to provide actionable insights for regulatory decision-making, process compliance, trend analysis, and performance monitoring. Work closely with Senior Developers and Technical Lead to ensure the technical solutions align with team objectives and strategic plans, including leveraging the use of AI/ML and Automation. Assist in developing and maintaining technical and business documentation, including GxP documentation and training materials. Learn from and contribute to the mentorship provided by senior team members. Contribute to team performance monitoring, objectives planning, and tactical planning under the guidance of senior team members. Essential Skills/Experience Bachelor s degree in data science, computer science, information systems or related field Strong proficiency in data analysis, data quality and visualization tools such as Power BI, Power Automate, Snowflake, Aperture, Oracle or similar platforms. Expertise in SQL, Python, VBA or other programming languages commonly used in data analysis. Strong problem-solving and analytical skills with a keen attention to detail with a willingness to learn and grow in a technical role Desirable Skills/Experience Familiarity with Regulatory requirements and processes in the pharmaceutical or biotech industry. Experience with cloud-based data platforms (e.g., AWS, Azure, Accumulus) and big data technologies. Knowledge of best practices in software development life cycle (SDLC) and Agile methodologies. Date Posted 28-May-2025 Closing Date 28-May-2025 Role: Business Intelligence & Analytics - Other Industry Type: Pharmaceutical & Life Sciences Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Business Intelligence & Analytics Education UG: Any Graduate PG: Any Postgraduate Key Skills Computer scienceData analysisAutomationPharmaHealthcareOracleAnalyticsSQLRecruitmentPython

Job description Learn more about our culture and how we make our employees happier through The Sprinklr Way. Job Description What Does Success Look Like? We are seeking a Lead VoIP Engineer to design and build high-performance modules within our Voice platform. You ll work on the core telephony stack involving signaling, media processing, NAT traversal, and RTP relaying. This is a hands-on execution role ideal for engineers who love building, debugging, and optimizing real-time communication systems. Seniority Level: Lead Individual Contributor What You ll Do: Implement core voice capabilities using FreeSWITCH, Kamailio/OpenSIPs, and RTPEngine. Build and optimize SIP call routing logic, RTP media relays , failover mechanisms, and NAT traversal. Develop and manage configurations for scalability, codec negotiation, SIP trunk registration . Implement and test features like call recording, IVR, voicemail, DTMF detection. Monitor live traffic and participate in 24x7 on-call rotation for critical escalations. Collaborate with QA on stress/load testing and with Backend teams on provisioning APIs. Document design decisions, configurations, and troubleshooting runbooks. What Makes You Qualified? 5 to 9 years of experience building and operating VoIP systems or CPaaS platforms . Solid expertise with SIP signaling, RTP, and media relay techniques . Strong hands-on with FreeSWITCH, Kamailio/OpenSIPs, RTPEngine . Hands-on experience with Session Border Controller (SBC), Media Servers and WebRTC . Experience in managing telephony infrastructure for uptime, latency, and call quality optimization. Strong systems programming and debugging skills in C/C++ . Good scripting/debugging skills ( Bash, Python, or Lua for FreeSWITCH modules ). Proficiency with diagnostic tools ( Wireshark, tcpdump etc ). Experience working with geographically distributed infrastructure or HA deployments. Why Youll Love Sprinklr: Were committed to creating a culture where you feel like you belong, are happier today than you were yesterday, and your contributions matter. At Sprinklr, we passionately, genuinely care. For full-time employees, we provide a range of comprehensive health plans, leading well-being programs, and financial protection for you and your family through a range of global and localized plans throughout the world. For more information on Sprinklr Benefits around the world, head to https://sprinklrbenefits.com/ to browse our country-specific benefits guides. We focus on our mission: We founded Sprinklr with one mission: to enable every organization on the planet to make their customers happier. Our vision is to be the world s most loved enterprise software company, ever. We believe in our product: Sprinklr was built from the ground up to enable a brand s digital transformation. Its platform provides every customer-facing team with the ability to reach, engage, and listen to customers around the world. At Sprinklr, we have many of the worlds largest brands as our clients, and our employees have the opportunity to work closely alongside them. We invest in our people: At Sprinklr, we believe every human has the potential to be amazing. We empower each Sprinklrite in the journey toward achieving their personal and professional best. For wellbeing, this includes daily meditation breaks, virtual fitness, and access to Headspace. We have continuous learning opportunities available with LinkedIn Learning and more. EEO - Our philosophy: Our goal is to ensure every employee feels like they belong and are operating in a judgment-free zone regardless of gender, race, ethnicity, age, and lifestyle preference, among others. We value and celebrate diversity and fervently believe every employee matters and should be respected and heard. We believe we are stronger when we belong because collectively, we re more innovative, creative, and successful. Sprinklr is proud to be an equal-opportunity workplace and is an affirmative-action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sex

Job description KPMG India is looking for Analyst - AI/ML to join our dynamic team and embark on a rewarding career journey. you will play a critical role in designing, developing, and deploying artificial intelligence and machine learning solutions that drive innovation and improve business outcomes. You will work closely with cross - functional teams to understand business needs, develop machine learning models, and create scalable, data - driven applications. Your expertise in AI/ML will enable us to harness the power of data for strategic advantage. Key Responsibilities : Solution Design : Collaborate with stakeholders to define AI/ML project requirements and objectives. Data Collection : Identify and gather relevant data from various sources, ensuring data quality and reliability. Data Preprocessing : Clean, preprocess, and transform data to prepare it for model development. Model Development : Build and train machine learning models using appropriate algorithms and techniques. Feature Engineering : Create relevant features and feature engineering pipelines to improve model performance. Model Evaluation : Evaluate model performance using appropriate metrics and validation techniques. Hyperparameter Tuning : Optimize model hyperparameters to achieve the best results. Deployment : Deploy machine learning models into production environments, ensuring scalability and reliability. Monitoring : Implement model monitoring and maintenance processes to ensure ongoing performance. Documentation : Maintain comprehensive documentation of AI/ML models, methodologies, and results. Research : Stay updated on the latest AI/ML research and technologies, and apply new insights to projects. Qualifications : Bachelor's degree in Computer Science, Data Science, or a related field (Master's degree preferred). Proven experience in AI/ML development, with a strong portfolio of projects. Proficiency in machine learning libraries and frameworks (e. g. , TensorFlow, PyTorch, scikit - learn). Strong programming skills in languages such as Python or R. Experience with data preprocessing, feature engineering, and model evaluation. Knowledge of deep learning, neural networks, and natural language processing (NLP) is a plus. Familiarity with cloud platforms (e. g. , AWS, Azure, GCP) and containerization (e. g. , Docker) is a plus. Excellent problem - solving and analytical skills. Effective communication and collaboration abilities. Ability to work independently and as part of a multidisciplinary team. Role: Data Science & Analytics - Other Industry Type: Financial Services Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Data Science & Analytics - Other Education UG: Any Graduate PG: Any Postgraduate Key Skills NetworkingSenior AnalystFocusManager Technologyprofessional servicesinternational clients

Job description KPMG India is looking for Senior - AWS Data Engineering to join our dynamic team and embark on a rewarding career journey. Data Architecture Design : Designing and implementing scalable, distributed, and high - performance data architectures using AWS services like Amazon S3, Amazon Redshift, Amazon EMR, AWS Glue, and others. Data Processing and ETL : Building and managing Extract, Transform, Load (ETL) pipelines to collect, process, and transform large volumes of data using AWS tools like AWS Glue, Apache Spark, or custom scripts. Data Warehousing : Developing and managing data warehouse solutions using AWS Redshift or other relevant technologies to enable efficient data storage and analytics. Data Governance and Security : Implementing data governance frameworks, access controls, encryption, and compliance standards to ensure data security and regulatory compliance. Data Visualization and Analytics : Integrating data with analytics and visualization tools like AWS QuickSight, Tableau, or Power BI to derive insights and support decision - making processes. Performance Optimization : Optimizing data pipelines, storage, and querying performance for enhanced efficiency and cost - effectiveness. Qualifications and Skills : AWS Expertise : Proficiency in various AWS data services like S3, Redshift, Glue, EMR, Lambda, Kinesis, and related AWS data analytics and storage solutions. Data Engineering Skills : Strong understanding of data modeling, ETL processes, data warehousing, data lakes, and big data technologies. Programming and Scripting : Proficiency in programming languages like Python, SQL, Scala, or Java, as well as scripting for data processing tasks. Data Visualization Tools : Familiarity with tools for data visualization and analytics like QuickSight, Tableau, or Power BI. Key Attributes : Analytical Thinking : Ability to analyze complex data sets, identify patterns, and derive actionable insights. Problem - Solving Skills : Capability to troubleshoot data - related issues and optimize data pipelines for efficiency. Team Collaboration : Effective communication and collaboration with cross - functional teams, data scientists, analysts, and stakeholders. Role: Data Engineer Industry Type: Financial Services Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Data Science & Machine Learning Education UG: Any Graduate PG: Any Postgraduate Key Skills NetworkingFocusManager Technologyprofessional servicesAWSinternational clients

Job description Job Description: Contribute/Lead towards Memory Design Validation of SRAM, Multi-Ports, Register File, TCAM, and ROM memory compilers as well as custom macros in 2nm and other cutting edge process technologies Job Description Contribute/Lead towards Memory Design Validation of all types of custom memory macros and memory compilers Perform functional verification, root cause design discrepancies, and help resolve them Perform signal integrity analysis, identify design weaknesses, and propose possible solutions to address them Perform transistor level simulations to check for any Power Up or Lock up issues and help resolve them Perform EM/IR analysis/simulations and evaluate impact on timing and internal margins Perform transistor level simulations to validate timing and internal margins, identify timing characterization holes, and help resolve them Perform various QA and validation checks to ensure accurate timing and power models Develop scripts to automate verification flow and data analysis Support silicon debugs and correlation to spice models Coordinate with memory design leads, modelling leads, and managers to define and execute on the memory validation plan Skill Sets Strong expertise in development of memory macros of all types and architectures Strong understanding of transistor level circuit behavior and analysis Good understanding of the layout and their related challenges in sub nanometer process technologies Good understanding of signal integrity, EM/IR, and reliability analysis Good understanding of memory behavioral and physical models Good understanding of DFT Schemes and chip level integration Proficient in running transistor level simulators, writing automation scripts, and are tools savvy Complete hands on experience in using Cadence schematic/layout editor tools Complete hands on experience with transistor level simulators, Monte Carlo variation analysis, waveform viewer tools such as; HSPICE, HSIM, XA, FineSim, XARA, nWave, waveform viewer, etc.. Experience in Skill/Perl/Python Scripting is a strong plus Good communication, interpersonal, and leadership skills Good debugging skills, problem solving and logical reasoning skills Motivated, self-driven and good at multi-tasking . Role: Product Design Engineer Industry Type: Software Product Department: Engineering - Hardware & Networks Employment Type: Full Time, Permanent Role Category: Hardware Education UG: Any Graduate PG: Any Postgraduate Key Skills AutomationData analysisDFTDesign validationDebuggingPerlSiliconMacrosSignal integrityPython

Job description Entity:- Accenture Strategy & Consulting Team:- Global Network Data & AI Practice:- Life Sciences Title:- Ind & Func AI Decision Science Consultant Job Location:- Delhi, Gurgaon, Mumbai, Bangalore About Strategy & Consulting Global Network:- Accenture S&C Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. WHAT'S IN IT FOR YOU? An opportunity to work on high-visibility projects with top Pharma clients around the globe. Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners, and business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everythingfrom how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. Opportunity to thrive in a culture that is committed to accelerating equality for all. Engage in boundaryless collaboration across the entire organization. What you would do in this role Support delivery of small to medium-sized teams to deliver consulting projects for global clients. Responsibilities may include strategy, implementation, process design, and change management for specific modules. Work with the team or as an Individual contributor on the project assigned which includes a variety of skills to be utilized from Data Engineering to Data Science Develop assets and methodologies, point-of-view, research, or white papers for use by the team and the larger community. Work on variety of projects in Data Modeling, Data Engineering, Data Visualization, Data Science etc., Acquire new skills that have utility across industry groups. Support strategies and operating models focused on some business units and assess likely competitive responses. Also, assess implementation readiness and points of greatest impact. Make presentations wherever required to a known audience or client on functional aspects of his or her domain. Qualification Who are we looking for? Bachelor's or Master's degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field. Proven experience (2+ years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes. Understanding of Pharma data sets commercial, clinical, RWE (Real World Evidence) & EMR (Electronic medical records) Leverage one's hands on experience of working across one or more of these areas such as real-world evidence data, R&D clinical data, digital marketing data. Hands-on experience in building and deployment of Statistical Models/Machine Learning including Segmentation & predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization. Hands-on experience with handling Datasets like Komodo, RAVE, IQVIA, Truven, Optum etc. Proficiency in Programming languages such as R, Python, SQL, Spark, etc. Ability to work with large data sets and present findings/insights to key stakeholders; Data management using databases like SQL. Experience with any of the cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models. Experience with any of the Data Visualization tools like Tableau, Power BI, Qlikview, Spotfire is good to have. Excellent analytical and problem-solving skills, with a data-driven mindset. Proficient in Excel, MS Word, PowerPoint, etc. Ability to solve complex business problems and deliver client delight. Strong writing skills to build points of view on current industry trends. G

Job description About the Role We at Coursera are seeking a highly skilled and motivated AI Specialist with expertise in developing and deploying advanced AI solutions. The ideal candidate will have 3+ years of experience, with a strong focus on leveraging AI technologies to derive insights, build predictive models, and enhance platform capabilities. This role offers a unique opportunity to contribute to cutting-edge projects that transform the online learning experience. Key Responsibilities Deploy and customize AI/ML solutions using tools and platforms from Google AI, AWS, or other providers. Develop and optimize customer journey analytics to identify actionable insights and improve user experience. Design, implement, and optimize models for predictive analytics , information extraction , semantic parsing , and topic modelling . Perform comprehensive data cleaning and preprocessing to ensure high-quality inputs for model training and deployment. Build, maintain, and refine AI pipelines for data gathering, curation, model training, evaluation, and monitoring. Analyze large-scale datasets, including customer reviews, to derive insights for improving recommendation systems and platform features. Train and support team members in adopting and managing AI-driven tools and processes. Document solutions, workflows, and troubleshooting processes to ensure knowledge continuity. Stay informed on emerging AI/ML technologies to recommend suitable solutions for new use cases. Evaluate and enhance the quality of video and audio content using AI-driven techniques. Qualifications Education: Bachelors degree in Computer Science, Machine Learning, or a related field (required). Experience: 3+ years of experience in AI/ML development, with a focus on predictive modelling and data-driven insights. Proven experience in deploying AI solutions using platforms like Google AI, AWS, Microsoft Azure, or similar. Proficiency in programming languages such as Python, Java, or similar for AI tool customization and deployment. Strong understanding of APIs, cloud services, and integration of AI tools with existing systems. Proficiency in building and scaling AI pipelines for data engineering, model training, and monitoring. Experience with frameworks and libraries for building AI agents, such as LangChain, AutoGen Familiarity with designing autonomous workflows using LLMs and external APIs Technical Skills: Programming: Advanced proficiency in Python, PyTorch, and TensorFlow, SciKit-Learn Data Engineering: Expertise in data cleaning, preprocessing, and handling large-scale datasets. Preferred experience with tools like AWS Glue , PySpark , and AWS S3 . Cloud Technologies: Experience with AWS SageMaker, Google AI, Google Vertex AI, Databricks Strong SQL skills and advanced proficiency in statistical programming languages such as Python, along with experience using data manipulation libraries (e.g., Pandas, NumPy). Role: Data Science & Machine Learning - Other Industry Type: E-Learning / EdTech Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Data Science & Machine Learning Education UG: Any Graduate PG: Any Postgraduate Key Skills Computer scienceStatistical programmingMachine learningProgrammingTroubleshootingAWSMonitoringSQLPythonRecruitment

Job description 74100 | IT & Tech Engineering | Professional | Allianz Technology | Full-Time | Permanent Warning: When posting this job advertisment on an external job board, the length of the following fields combined must not exceed 3950 characters: "External Posting Description", "External Posting Footer" . Overall Objectives of Job The Workplace Services Department is responsible for global end-to-end operations of Allianz Workplace services including Allianz Virtual Client, End Devices (Notebooks, Thin Clients, Mobile Phones), File Services, Print Service, Mailing, Intranet and Service Desk. read more Key Skills Computer scienceAutomationPowershellIntranetWPSmicrosoftJIRAIT operationsInformation technologyPython

Job description Entity:- Accenture Strategy & Consulting Team:- Global Network Data & AI Practice:- Marketing Analytics Title:- Ind & Func AI Decision Science Analyst Level 11 Job location:- Gurgaon / Bangalore / Mumbai / Hyderabad About S&C Global Network - Data & AI:- Accenture Global Network - Data & AI practice help our clients grow their business in entirely new ways. We enable our clients to achieve high performance through insights from data - insights that inform better decisions and help grow their business in entirely new ways through the power of Artificial Intelligence. From strategy to execution, Accenture works with organizations to develop advanced analytic capabilities. This includes everything from accessing and reporting on data to building and deploying predictive models and implementing Generative AI solutions. WHAT'S IN IT FOR YOU? As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues who are pioneers in leveraging cutting-edge AI technologies, including Generative AI. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. Accenture is committed to nurturing your growth and development. You'll have access to training and mentorship from seasoned professionals, empowering you to expand your skill set and stay at the forefront of industry trends. In S&C GN - Data & AI you will understand the importance of sound analytical decision-making, how each task contributes to the overall project objectives, execute projects that contribute directly to business performance improvement and utilize Generative AI to unlock new possibilities. Qualifications What you would do in this role: Harness the capabilities of Generative AI and Large Language Models (LLMs), to build innovative solutions. Define data requirements for leveraging Large Language Models (LLMs) Perform data cleaning, aggregation, analysis, and interpretation, while conducting thorough data quality assessments. Build and manage data pipelines, ensuring efficient data flow and processing. Train and fine-tune LLMs using large-scale datasets to optimize performance and accuracy. Evaluate model performance and iterate on improvements. Collaborate with cross-functional teams to integrate Generative AI and LLMs into end-to-end solutions, ensuring seamless deployment and scalability. Utilize cloud services from AWS, Azure, or GCP for development, training, and deployment of models. Stay updated on the latest advancements in Generative AI and explore new techniques and frameworks to enhance model capabilities and performance. Document methodologies, experiments, and findings to facilitate knowledge sharing. Collaborate closely with the team, consultants, and managers to align project objectives and deliverables. Create insights presentations and client-ready decks, effectively communicating findings and recommendations. Mentor and guide junior resources, fostering a collaborative and growth-oriented team environment. Demonstrate strong communication skills, both verbal and written, to effectively convey complex concepts and insights to stakeholders. Who we are looking for: Bachelor's or Master's degree in Statistics, Computer Science, Mathematics, Marketing or related disciplines with an excellent academic record 2+ years of experience in Data Science, preferably within the Marketing domain. Proficiency in Python and SQL. Proven experience in implementing Generative AI use cases. Hands-on experience working with at least one prominent Large Language Model (LLM). Familiarity with at least one cloud platform (AWS, Azure, GCP) for data storage, processing, and model deployment. Excellent communication and collaboration skills. Ability to think critically, solve problems creatively, and translate complex technical concepts into clear and concise language for both technical and non-technical audiences. Strong desire to learn and stay up to date on the latest advanc

Job description Sapiens is on the lookout for a Developer (ETL) to become a key player in our Bangalore team. If you're a seasoned ETL pro and ready to take your career to new heights with an established, globally successful company, this role could be the perfect fit. What youll do: Designing, and developing of core components/services that are flexible, extensible, multi-tier, scalable, high-performance and reliable applications of an advanced complex software system, called ALIS both in R&D and Delivery. 1. Good understanding in the ETL Advanced concepts and administration activities to support R&D/Project. 2. Experience in understanding of different ETL tools (min 4) and Advanced transformations, Good in Talend, SAP BODS to support R&D/Project 3. To be able to resolve all ETL code and administration issue. 4. Ability to resolve complex Reporting challenges. 5. Ability to create full-fledged dashboards with story boards/lines, drill down, linking etc.; design tables, views or datamarts to support these dashboards 6. Ability understand, propose data load strategies which improves performance and visualizations 7. Ability to performance tune SQL, ETL & Report, Universes To understand Sapiens Intelligence Product and support below points 1. Understands the Transaction Layer model for all modules 2. Universe the Universe Model for all modules 3. Should have End to End Sapiens Intelligence knowledge 4. Should be able to independently demo or give training for Sapiens Intelligence product. 5. Should be an SME in Sapiens Intelligence as a Product What to Have for this position. Must have Skills. 3 - 5 years of IT experience. Should have experience to understand the Advanced concepts of Insurance and has good command over at least all Business / Functional Areas (like NB, claims, Finance etc,.) Should have experience with developing a complete DWH ETL lifecycle Should have experience in developing ETL processes - ETL control tables, error logging, auditing, data quality, etc. - using ETL tools such as Talend, BODS, SSIS etc. Experience or knowledge in Bigdata related tools like (Spark, Hive, Kafka, Hadoop, Horton works, Python, R) would be good to go Should have experience in developing SAP BO or any Reporting tool knowledge Should be able to implement reusability, parameterization, workflow design, etc. Should have experience of interacting with customers in understanding business requirement documents and translating them into ETL specifications and Low/High level design documents Experience in understanding complex source system data structures preferably in Insurance services (Insurance preferred) Experience in Data Analysis, Data Modeling and Data Mart design Strong database development skills like complex SQL queries, complex stored procedures Good verbal and written communication in English, Strong interpersonal, analytical and problem-solving abilities. Ability to work with minimal guidance or supervision in a time critical environment. Willingness to travel and work at various customer sites across the globe. Role: ETL Developer Industry Type: BPM / BPO Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: DBA / Data warehousing Education UG: Any Graduate PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills ETL HiveRHadoopKafkaHorton worksSparkPython