Statistical Process Control SPC Jobs in Chennai

Job Title: Control Hardware Quality Engineer Experience: 4 to 6 Years Location: Chennai Company Overview: At Capgemini Engineering, a global leader in engineering services, we bring together a world-class team of engineers, scientists, and architects to assist the world s most innovative companies in unlocking their full potential. From autonomous vehicles to life-saving robots, our digital and software technology experts deliver groundbreaking R&D and engineering services across various industries. Join us for a dynamic career that s full of opportunities, where every day brings new challenges and ways to make an impact. Job Description: We are seeking a Control Hardware Quality Engineer who will be responsible for ensuring the integrity and functionality of hardware systems in line with industry standards and requirements. The ideal candidate will have experience interpreting electrical schematic diagrams and working with hardware components, such as MCCB, switchgear, circuit breakers, and cable harnesses. Key Responsibilities: Interpret and analyze electrical schematic diagrams, panels, cables, and components like MCCB, switchgear, and relays. Experience with UPS systems, backup solutions, batteries, DCN controls, CT modules, and network/electronic buses. Work with sensors (pressure, temperature, smoke), PLCs, and digital & analog components. Previous experience in commissioning and troubleshooting hardware systems is highly preferred. Apply knowledge of IEC, UL, and EN standards for hardware compliance. Experience with quality tools like DMAIC, DFSS is a plus. Investigate alarm triggers, identifying and diagnosing false messages. Collaborate with site technicians and design engineers to resolve failures reported from turbines in the field. Perform root cause analysis to identify issues and their impact on fleet performance. Align with stakeholders (module owners, service, construction, legal teams) to ensure effective communication and actions. Identify short-term and long-term solutions to mitigate failures. Lead the development and testing of improvement solutions. Prepare communication materials for customers and stakeholders regarding technical issues and solutions. Prioritize and address hardware failures, aiming for continuous improvements and reduced downtime. Preferred Qualifications: Field experience in the Wind Industry, particularly with Wind Turbine Generators (WTGs). Familiarity with DMAIC, Six Sigma, SCRUM, and gate models is highly advantageous. Basic knowledge of applying Q tools like DMAIC and DFSS for process improvement. Capgemini is a global business and technology transformation partner, helping organizations accelerate their dual transition to a digital and sustainable world. As a member of Capgemini, you ll be part of a diverse and responsible team of 340,000 professionals across 50+ countries, driving tangible impact for enterprises and society. Capgemini offers end-to-end services, from strategy and design to engineering, powered by AI, cloud, and data solutions. With a strong 55+ year legacy and 22.5 billion in global revenues in 2023, Capgemini is a trusted partner for leading businesses worldwide.

Department Name AT-GTEL, Chennai Job Title Senior Associate Scientist (Chem Analytical) Global Job levels Job Family Group: Research and Development Job Family: 093- Chemistry-Analytical Job Category: Research Job Level: R02 - Senior Associate Scientist Job Code: 602689 Management Level: J050 Reports to Group Lead Location(s) GTEL, IITM-RP. Job Summary ( Summarize the primary purpose & key accountabilities of the job function.) Responsible for Analytical Method development, Method Validation, Method transfer, Investigation, Regulatory support, Routine analytical and stability study support for API, Intermediates and different DP formulations. Job Responsibilities ( Indicate the primary responsibilities critical to the job function.) ROLE RESPONSIBILITIES Responsible to Perform all activities as per GxP He should adhere both quality and safety compliance according to organizational policies/procedures and regulatory guidance Should be able to perform trouble shooting of analytical challenges which includes method and machine. Responsible for development analytical methods and analytical method validation by UPLC, HPLC, GC, Dissolution for API, DP, Intermediate and Raw materials. Support the analytical activities of lab trial batches, feasibility batches, lab scale batches, stability batches, stability studies as per plan. Perform assessments of existing data packages, feasibilities and concluded remediation. Ensure technical output is compliant with all Global Training Curriculum for the Instrument operations, material handling and Certifications related to Quality Operations, Manufacturing and EHS. Work with the Quality Assurance and other cross functional teams to facilitate the consistent, disciplined execution of the LIR\ER\CAPA quality system ensuring the completeness and comprehensiveness of the assigned task. Ensures Compliances to local and corporate procedures and ensures all data packages are audit ready and transferable. Coordinate with cross functional teams to ensure timely execution and resolution of all Deliverable versus target milestones Qualifications/Skills: Education - Experience - Additional Requirements ( Indicate qualifications and skills that are necessary for performance of responsibilities including: education, relevant experience, licenses, certifications, and other job-related technical and managerial skills.) Requirements for all Global Job Levels PREFERRED QUALIFICATIONS M.Sc. in Chemistry/M.Pharm PREFERRED YEARS OF EXPERIENCE 3 to 6 years of Experience TYPE OF EXPERIENCE Experience in Analytical Research and Development, possesses knowledge of oral solid dosage forms, liquids, semisolids, and API. Understand regulatory expectations and possess exceptional expertise in data interpretation and scientific outputs. Hands on experience in handling HPLC, Dissolution, UV, GC and Wet Chemistry. Organizational Relationships: (Provide the primary groups or key role(s) that this role will interact with as a regular part of the job responsibilities. Include any external interactions as appropriate.) Small Molecule Technology Global Technology & Engineering Launch Excellence Pfizer Manufacturing Sites External Supply Global Supply Chain Regulatory Sciences Global EHS Procurement Pharmaceutical Sciences Small Molecule Contract Research, Development and Manufacturing Organizations Academic Institutes Not Applicable. Supervision Not Applicable. Work Location Assignment:On Premise Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates. Research and Development #LI-PFE Qualification : M.Sc. in Chemistry/M.Pharm

Position: Junior Manager MIS & Analytics Location: Chennai Experience Required: 2 7 years Education: Graduate / Postgraduate / MBA (any stream) Industry Preference: BFSI / NBFC Role Overview We are looking for a highly analytical and detail-oriented Junior Manager MIS & Analytics to support reporting, dashboard management, and data analysis activities. The role involves working closely with senior leadership and regional teams to drive data-based decision-making and ensure accuracy, timeliness, and usability of business reports. Key Responsibilities Collaborate with National Head, Zonal, State & Branch teams for data management and reporting needs. Gather and analyze business requirements for reports, dashboards, and data solutions. Support in transitioning legacy reports to modern BI tools or centralized systems. Ensure accurate and timely delivery of reports and dashboards across teams. Maintain and improve report performance and data availability for end-users. Provide ad-hoc analytical support and generate insights to support operational decisions. Follow and implement best practices in report design, data structuring, and process repeatability. Manage linear data analysis and maintain reporting precision with minimal supervision. Skills & Competencies Advanced Excel proficiency (including pivot tables, VLOOKUP, formulas, etc.) Strong command of the English language (verbal & written) Excellent data analysis, time management, and organizational skills High attention to detail and process accuracy Ability to prioritize tasks and work under pressure Effective communication and stakeholder management Collaborative team player with strong networking skills Preferred Qualifications Graduate or Postgraduate in any discipline (MBA preferred) 1 3 years of relevant experience in MIS reporting, preferably in BFSI or NBFC sectors Experience with BI tools, basic knowledge of data visualization platforms is a plus A data-centric role working directly with leadership across zones Opportunity to shape data practices and dashboarding for business teams Dynamic, fast-paced work environment with long-term career potential Qualification : Graduate / Postgraduate / MBA (any stream)

Senior Fullstack Engineer Linarc is hiring a talented Senior Fullstack Engineer with strong experience in building and delivering high-performing web applications. Do you love working in a fast-paced tech startup environment? We re looking for you! You are someone who is talented in making data-driven decisions and wants to lead our web team to deliver. About Linarc Linarc is a cloud-based collaborative construction management platform that powers project and operations management in the building industry. With a suite of web-based and mobile applications, construction professionals can manage their projects from anywhere, be it the office or the field. User persona-based web consoles provide various contractors, architects, engineers, builders, and owners access to their mission-critical data and drive their projects from conception to completion. Dedicated mobile applications help project managers, foremen, crew members, and other field workers access the project assets, record their activities, report their concerns, and track crew/equipment deployments, fieldwork progress, and more. The integrated system enables contractors to manage their portfolio of projects with material procurement, allocation of the crew, equipment, and other resources, and track projects schedule/financial performances and more. Predefined and customizable workflows automate step-by-step forwarding of critical project documents to the responsible stakeholders for their actions, throughout their life-cycle, from creation to approval and closure. Intuitive and informative dashboards and reports provide statistical information on various parameters and metrics crucial for continuous monitoring and making data-driven decisions to minimize schedule and budget overruns. Third-party app integrations supplement various project management activities like scheduling, budgeting, digital singing, online storage, and more. Linarc puts high-tech and cost-effectiveness together in a platform for the construction industry. The innovations and automation make project owners and construction professionals focus on what matters - quality, cost, and schedules. Linarc takes care of the rest. We serve mid to large-scale construction firms, like developers, builders, and contractors in the residential, commercial, industrial, structural building, and retail sectors. CORE RESPONSIBILITIES: Build highly scalable, responsive multi-browser web applications. Mentor, train and manage a team of front end developers. Work with the design team and convert design to component based modules. Work with API team to build scalable backend code. Plan and build development sprints. Architect web front end to support modules, user roles and access permissions. Setup and manage CI/CD pipelines for seamless deployment in various environments. REQUIRED SKILLS & QUALIFICATIONS: 5+ years experience in building scalable web applications. Front end javascript experience in Asynchronous coding - preferably in VueJs or ReactJs. Proficient with the JavaScript language and its modern ES6+ syntax and features. Proficient with Vue.js/React framework and its core principles such as components, reactivity, and the virtual DOM. Familiarity with the Vue.js or React ecosystem, including Vue CLI, Vuex, Vue Router, and Nuxt.js. Good understanding of HTML5 and CSS3, including Sass. Understanding of server-side rendering and its benefits and use cases. Ability to write efficient, secure, well-documented, and clean JavaScript code. Experience with both consuming and designing RESTful APIs. Backend experience in Python/Django ORM, Postgres or other relational DB, MongoDB, Firebase. Keen understanding of network protocols, including REST API, socket.io, in memory db like Redis. Experience building real-time chat based solutions. Functional programming, multi-browser support and multi-device. Must be an expert in database design & APIs. Expertise in AWS infrastructure, GIT, CI/CD Pipelines, and unit testing. Comfortable with node.js, Rails and any IDE. Must be a proficient developer able to write modular, readable and reusable code. Must understand agile method, sprint methodology, GitLab, YouTrack, Slack, or any such tools. Experience in cloud architecture, SaaS model. Experience in agile development, sprint methodology. Ability to work at an early-stage startup. Highly organized and a self-starter. Ability to work well remotely with a distributed team across multiple time zones. Strong ownership of work, reliable and able to handle multiple competing priorities. Strong communication, teamwork skills and excellent attention to detail. Can motivate and mentor developers. A data-driven approach to decision making with a drive to succeed. PREFERRED QUALIFICATIONS & SKILLS: Engineering Degree or advanced degrees in Physics or Mathematics. Experience in remote working and managing teams. Strong analytical and problem-solving skills. Your primary focus will be delivering interactive Vue js applications. Startup or product development experience. Passion for building category-defining products. Perpetual learner. Communicator, team player, independent contributor, team lead. Skills: Python, React.js, MySQL, NodeJS (Node.js), Java, Vue.js and MongoDB.

Position: Data Scientist Experience: 2+ Years Type: Full-time Location: Chennai About the Role As a Data Scientist at FinnUp, you will transform raw data into actionable insights that drive strategic decisions. You will work with complex datasets, build predictive models, and collaborate closely with cross-functional teams. Your expertise in analytics engineering, combined with your proficiency in Python especially pandas data frames and dictionaries will be critical in optimizing data workflows and delivering impactful results. Key Responsibilities Analyze large, complex datasets to extract meaningful insights that support business decision-making. Develop, implement, and maintain predictive models and machine learning algorithms to solve key business problems. Use pandas extensively for data manipulation, analysis, and visualization. Work closely with product, marketing, and business teams to understand requirements and provide data-driven solutions. Design and implement scalable data pipelines and ELT processes to ensure data integrity and accuracy. Create insightful dashboards and reports using Metabase to communicate findings to stakeholders. Stay current with the latest trends, tools, and advancements in data science, AI, and analytics engineering. Required Qualifications Bachelor s or Master s degree in Computer Science, Statistics, Mathematics, or related field. 2-3 years of experience as a Data Scientist or in a similar analytical role. Strong proficiency in Python with deep experience in pandas, dictionaries, and other core data structures. Experience with data visualization tools, especially Metabase. Solid understanding of statistical analysis and machine learning methods. Ability to write efficient SQL queries for data extraction and manipulation. Excellent problem-solving skills with high attention to detail. Strong communication and collaboration skills. Preferred Qualifications Hands-on experience building and deploying machine learning models in production environments. Familiarity with cloud platforms such as AWS or Google Cloud. Knowledge of additional programming languages like R or Julia. Experience with other data visualization tools and libraries. Competitive salary and benefits package. Opportunities for professional growth and skill development. A collaborative, innovative, and supportive work environment. Qualification : Bachelors or Masters degree in Computer Science, Statistics, Mathematics, or related field

Job Title: Data Scientist Company: Blackstraw.ai Job Location: Chennai (Work from Office) Job Type: Full-time Experience: 2 10 Years Job Summary: We are looking for Data Scientists to analyze large amounts of raw information to find patterns that will help improve our clients business. We will rely on you to build data products to extract valuable business insights. You will be part of our AI team in developing AI based products through the latest cutting edge technology. Key Responsibilities: Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams Communicate your findings to the appropriate teams through visualisations Collaborate and communicate findings to diverse stakeholders Provide solutions but not limited to: Object detection/Image recognition, natural language processing, Sentiment Analysis, Topic Modeling, Concept Extraction, Recommender Systems, Text Classification, Clustering, Customer Segmentation & Targeting, Propensity Modeling, Churn Modeling, Lifetime Value Estimation, Forecasting, Modeling Response to Incentives, Marketing Mix Optimization, Price Optimization. Follow/maintain an agile methodology for delivering on project milestones. Excellent oral, presentation, and written communication skills. Preferred Qualifications: Bachelors in Math, Computer Science, Information Systems, Machine Learning, Statistics, Econometrics, Applied Mathematics, Operations Research or related technical degree with ability to break complex business problems down to smaller more solvable parts. Minimum of 3+ years of experience in a related position, as a data scientist building predictive analytics or NLP or CV solutions for various types of business problems. Working knowledge of statistical techniques, NLP, machine learning algorithms and deep learning frameworks like Tensorflow, Pytorch, PySpark. Programming background and expertise in building models using at least one of the following languages: Python, R, C, C++, Spark, Scala. Good knowledge in the implementation of deep learning models for image classification, Document classification models, object detection, logo detection. Self-motivated and driven to deliver agreed results on-time. Company Profile: Conceptualized as far back as 2015, and commencing full-time operations in 2018, Blackstraw technologies Pvt Ltd. is a software products and services company specializing in Artificial Intelligence (AI) and Machine Learning solutions for various industries. We support businesses around the world, including North America, Europe and Asia, working to simplify AI implementation through our platform that expedites data labelling, AI model-training, and cloud or on-premise deployments. With more than 900 years of combined work-experience, the 250+-strong Blackstraw Team comprises various experts in the AI value chain. We are a fast-moving team that prides ourselves in rapidly identifying different use-cases and fine-tuning our products to suit specific business needs. We are focused on providing solutions related to computer vision, natural language processing, Data annotation tools for deep learning models, etc. To stay competitive in business, it is key for organizations to adopt and implement smart AI solutions and service offerings. However, most companies are unable to implement AI rapidly due to the complexity of existing solutions, inadequate data and cost implications. Our mission is to enable enterprises to adopt AI in an easier, cost-effective and time-efficient manner with a plug-and-play approach to their data. Blackstraw operations are based out of Canada, USA & India. Our head office is based in Florida. Qualification : Bachelors in Math, Computer Science, Information Systems, Machine Learning, Statistics, Econometrics, Applied Mathematics, Operations Research or related technical degree with ability to break complex business problems down to smaller more solvable parts.

Role: Assistant Manager Data Science Location: Chennai, Tamil Nadu, India Experience: 6 8 Years Employment Type: Permanent, Full-Time About the Role We are hiring an experienced Assistant Manager Data Science to join our dynamic analytics team in Chennai. This role requires 6 8 years of hands-on experience in data science, applied analytics, machine learning (ML), and statistical modeling. The ideal candidate will have a strong analytical mindset, excellent problem-solving abilities, and the ability to transform data into strategic business insights. Key Responsibilities Design and develop machine learning models and data analytics frameworks to solve real-world business problems. Apply statistical techniques to analyze structured and unstructured data. Write complex and optimized SQL queries to manage and extract data from large datasets. Build insightful and interactive dashboards and visualizations using tools like Tableau. Collaborate with cross-functional stakeholders to understand requirements and deliver data-driven solutions. Translate business challenges into analytical problems and structure approaches for resolution. Keep up-to-date with the latest trends in data science, artificial intelligence (AI), ML, and data visualization. Required Skills & Qualifications 5+ years of experience in data science, applied analytics, or machine learning. Strong command of Advanced SQL and hands-on experience with large-scale datasets. Proficient in Python for ML and statistical analysis. Expertise in data visualization, preferably with Tableau. Solid understanding of statistical methods, predictive modeling, and data interpretation. Excellent communication and stakeholder management skills. Analytical, detail-oriented, and innovative approach to problem-solving. Work on impactful and high-visibility data science projects. Be part of a collaborative and forward-thinking analytics team. Gain exposure to cutting-edge technologies and business strategies. Competitive salary and benefits package.

We are seeking a Senior Data Scientist with experience in various data science techniques, tools, and cloud providers. The ideal candidate will be responsible for designing, developing, and implementing cutting-edge data science models and machine learning algorithms to tackle complex problems in various domains. You will work closely with cross-functional teams to understand business requirements, identify opportunities for applying machine learning/deep learning/AI techniques, and deliver innovative solutions that push the boundaries of AI technology. This role requires a strong background in machine learning, deep learning, and computer vision, along with a passion for exploring and experimenting with state-of-the-art models. Responsibilities Design, develop, and implement novel data science models and machine learning algorithms that solve complex problems. This includes architectural design, data preprocessing, training, optimization, and evaluation of models Collaborate with data engineers and data scientists to collect, pre-process, and curate datasets suitable for training Train and fine-tune machine learning/deep learning models using large-scale datasets and distributed computing frameworks. Optimize models for performance, efficiency, and scalability Design and conduct experiments to evaluate the performance, robustness, and generalization of machine learning/deep learning models Use appropriate metrics and statistical analysis to measure and interpret results Prepare technical documentation, including model architecture, implementation details, and experimental results. Communicate findings, insights, and recommendations to both technical and non-technical stakeholders Requirements Bachelor s or master s degree in computer science, Data Science, Statistics, or related field 5 to 8 years of solid foundation in Machine Learning, Deep Learning, Computer Vision, NLP Proficiency in Python Experience Deep Learning frameworks like Tensorflow, Pytorch, Keras, Jax, etc Experience with pandas, scikit-learn, matplotlib, spacy, statsmodel, etc General understanding of data structures, algorithms, multi-threaded programming, and distributed computing concepts Knowledge of statistical and algorithmic models as well as of fundamental mathematical concepts, such as linear algebra and probability Familiarity with cloud services (AWS, Google Cloud, Azure) Excellent written and verbal communication skills Nice to have Proficiency in Docker and Kubernetes We offer Opportunity to work on technical challenges that may impact across geographies Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications Opportunity to share your ideas on international platforms Sponsored Tech Talks & Hackathons Unlimited access to LinkedIn learning solutions Possibility to relocate to any EPAM office for short and long-term projects Focused individual development Benefit package: Health benefits Retirement benefits Paid time off Flexible benefits Forums to explore beyond work passion (CSR, photography, painting, sports, etc.) Qualification : Bachelors or masters degree in computer science, Data Science, Statistics, or related field

Senior Data Scientist AI/ML Location: Chennai About the Team Join the ZF Center of Excellence (COE) team, where we translate complex AI, Machine Learning (ML), Deep Learning (DL), and Reinforcement Learning (RL) concepts into impactful solutions. Our team communicates cutting-edge research insights to both technical and non-technical audiences, including presentations at conferences and publications in academic journals. What to Expect in this Role Conduct advanced research to develop innovative AI/ML methodologies, with a focus on DL and RL techniques. Design and execute experiments to validate new approaches and benchmark machine learning algorithms. Analyze complex datasets to discover hidden patterns that drive AI innovation. Stay current with the latest advancements in algorithms, tools, and theoretical frameworks, exploring areas such as model interpretability and efficient deep learning training. Prototype and evaluate advanced models like CNNs, RNNs, and other deep learning architectures. Develop foundational algorithms and frameworks applicable across diverse machine learning challenges. Focus on enhancing model efficiency, reducing bias, and improving explainability. Document research methods, experiments, and theoretical contributions to facilitate knowledge sharing. Shape the team s long-term research vision and strategic goals. Candidate Profile Master s degree in Mathematics, Computer Science, or related fields; PhD is a strong plus. 8+ years of research and development experience with deep knowledge of data structures and algorithms. 5+ years experience deploying ML models in production environments. Proficient with ML frameworks such as TensorFlow, PyTorch, or scikit-learn. Experience with distributed computing and large-scale data processing systems. Strong communication and teamwork skills. Experience contributing to invention disclosures and intellectual property processes. Proven publication record in leading machine learning conferences or journals. Innovative Environment: Work at the forefront of technology with a culture that fosters creativity and continuous growth. Diverse & Inclusive Culture: Thrive in an environment that values diversity, equity, and mutual respect. Career Development: Benefit from extensive training, clear advancement paths, and global project opportunities. Global Presence: Collaborate with international teams and contribute to world-class driveline and chassis technologies. Sustainability Commitment: Play a role in eco-friendly initiatives and reducing environmental impact. Employee Well-being: Enjoy health and wellness programs, flexible work options, and a supportive work-life balance. Join Us Take your AI/ML expertise to the next level with ZF. Apply now for the Senior Data Scientist AI/ML role and contribute to shaping the future of mobility! Our Commitment to Diversity, Equity & Inclusion (DEI) At ZF, we are dedicated to building a culture of inclusion where diversity is celebrated. We work to remove barriers so every employee can thrive and contribute to our shared legacy of innovation and excellence. Qualification : Masters degree in Mathematics, Computer Science, or related fields; PhD is a strong plus

About Comcast: Comcast is a Fortune 50 leader at the intersection of media and technology. With a focus on innovation, we create groundbreaking entertainment and online experiences for millions of customers worldwide. If you're passionate about teamwork, revolutionizing industries, and leading the future of media and technology, Comcast is the place to grow your career. Job Summary: The Data Analyst will work cross-functionally to collect, analyze, and model data to uncover trends and provide actionable insights. You'll support key business decisions through exploratory analysis, forecasting, and optimization. This role requires in-depth technical expertise, independent prioritization, and clear communication of findings to stakeholders. Core Responsibilities: Data Collection & Analysis: Work with business leaders to understand requirements and develop technical specifications. Retrieve, analyze, and summarize complex data from platforms like Teradata, SQL Server, Hadoop, and AWS. Identify relevant data sources and combine disparate datasets for actionable insights. Exploratory & Predictive Analysis: Conduct exploratory data analysis and hypothesis testing to uncover trends and drivers. Develop forecasting models for key business metrics such as sales and demand. Measure the impact of campaigns, features, or initiatives and identify opportunities for improvement. Visualization & Communication: Create narrative-driven presentations and effective data visualizations for executives and decision-makers. Communicate insights clearly and concisely to influence strategic business decisions. Innovation & Collaboration: Stay updated on trends in analytics, statistics, and machine learning, and apply them to solve business challenges. Promote a culture of knowledge sharing, healthy skepticism, and teamwork within the organization. Customer-Focused Approach: Drive results by integrating feedback from customers and employees via Comcast s Net Promoter System (NPS). Champion the customer experience and advocate for seamless digital interactions. Compliance & Accountability: Adhere to Comcast s Operating Principles and ensure regular, consistent, and punctual attendance. Fulfill additional duties as needed. Qualifications: Must-Have: Proven experience with big data platforms (e.g., Teradata, SQL Server, Hadoop, AWS). Strong proficiency in data analysis, hypothesis testing, and forecasting techniques. Ability to develop clear and compelling data visualizations and presentations. Exceptional problem-solving and independent judgment skills. Preferred: Knowledge of emerging analytics trends, statistics, and machine learning. Experience with business operating frameworks and a results-driven approach. Familiarity with Net Promoter System (NPS) feedback integration. Diversity & Inclusion: We believe diverse perspectives drive innovation and success. Growth-Oriented Culture: We foster an environment of learning and collaboration. Employee Benefits: Comprehensive benefits package, flexible schedules, and career development opportunities. Impactful Work: Be part of an organization that shapes the future of media and technology. Disclaimer: This description provides a general overview of the role. It is not intended to encompass all responsibilities or qualifications. Comcast is proud to be an equal-opportunity workplace, considering all applicants regardless of race, religion, gender, disability, or veteran status.

About ICON: ICON is a world leader in clinical research, providing services to the pharmaceutical, biotechnology, and medical device industries. Our mission is to help improve patients' lives by accelerating the development of life-saving drugs and devices. ICON s commitment to diversity, performance, and development makes us an ideal place for talent to thrive and grow professionally. Role Overview: The Senior Clinical Data Science Programmer will focus on SQL development and visualization design within clinical data management. You will be responsible for designing data management reports, including Clean Patient Trackers, DM Metrics, and Coding Listings, as well as ensuring efficient data flow across various functions. You will collaborate across teams and organizations, using tools like Elluminate, Spotfire, Qlik, and Tableau, to deliver impactful reports and data insights. Key Responsibilities: Technical Data Management: Strong SQL skills in the context of clinical data management, including report generation and data visualization. Design, develop, and maintain Data Management Reports and Listings (Clean Patient Tracker, DM Metrics, Coding Listings). Have an in-depth understanding of end-to-end data flow in clinical data management. Create and manage technical specifications and documentation related to data reporting. Collaboration & Problem Solving: Work effectively in a matrix environment, collaborating across multiple functions and teams. Influence stakeholders and drive data management best practices without authority. Demonstrate leadership and contribute to conflict resolution, team building, and fostering a collaborative work environment. Compliance & Standards: Ensure compliance with Good Clinical Practices (GCP) and relevant regulations. Have strong knowledge of CDISC, SDTM standards, and ensure reports align with these standards. Visualization & Reporting: Lead visualization design and ensure the creation of clear, informative, and actionable data visualizations. Use Elluminate, Spotfire, Qlik, and Tableau to build and maintain dashboards and data visualizations that aid in clinical data analysis. Leadership & Communication: Provide clear and concise communication to stakeholders regarding data findings, issues, and resolutions. Demonstrate excellent problem-solving and conflict resolution skills, fostering strong working relationships. Required Qualifications: Life science graduation or equivalent. 5+ years of experience in clinical data management and programming. Strong expertise in SQL and data visualization tools such as Elluminate, Spotfire, Qlik, Tableau. In-depth experience with Data Management Reports and an understanding of the clinical data management environment. Strong knowledge of CDISC, SDTM standards. Excellent written and oral communication skills. Experience working in the biotechnology or pharmaceutical industry is highly preferred. Benefits of Working at ICON: Competitive salary with variable pay and recognition programs. Comprehensive benefits package: Health insurance, retirement planning, and more. Work-life balance initiatives including flexible country-specific benefits such as childcare vouchers, gym memberships, travel passes, and health assessments. Global Employee Assistance Programme offering 24-hour access to a global network of over 80,000 independent professionals. Life assurance and additional family-focused benefits. Why Choose ICON? At ICON, we believe our people are the key to our success. Join us and be a part of a dynamic, global team that fosters a culture of growth, development, and collaboration. If you are ready to take on an exciting role where you can make a direct impact on the advancement of clinical research, we would love to hear from you. How to Apply: If you're passionate about leveraging data to drive clinical insights and improve patient outcomes, apply now to join the ICON team. Qualification : 5+ years of experience in clinical data management and programming.