Data Science Jobs in Chennai

Integration Engineer Location: Chennai Experience Required: 4 5 Years Domain: US Healthcare / RCM Role Overview: Architecting Healthcare Connectivity We are seeking a Integration Engineer to build and maintain the bridges between healthcare platforms, clearinghouses, and our in-house data engine. You will be responsible for ensuring seamless data flow across EMRs, PM systems, and clearinghouses, leveraging a mix of traditional EDI standards and modern API-driven automation to drive RCM efficiency. Technical Expertise & Required Skills Healthcare Interoperability & EDI: X12 EDI Transactions: Hands-on implementation of 837 (Claims), 835 (Remittance), 270/271 (Eligibility), and 276/277 (Claim Status). HL7 & Standards: Deep understanding of HL7 interfaces for real-time and batch healthcare data exchange. Clearinghouse Integration: Proven experience connecting healthcare systems with major clearinghouses and data platforms. Automation & Modern Development: Web Scraping: Proficiency in Node.js and Puppeteer.js for headless browser automation and complex data extraction. API & Web Services: Strong experience with REST and SOAP API integrations. Cloud Environment: Familiarity with Google Cloud Platform (GCP), specifically App Engine, Cloud Functions, and Pub/Sub. Data Architecture: Solid understanding of NoSQL databases and data transformation pipelines. Key Responsibilities Design & Development: Architect seamless integrations between internal data engines and third-party healthcare applications. Compliance Management: Ensure all data exchanges strictly adhere to HIPAA standards and healthcare security protocols. Cross-functional Collaboration: Partner with Data Science and Automation teams to deploy and monitor integrations in GCP environments. System Optimization: Proactively troubleshoot and enhance integration performance for maximum scalability and reliability. Legacy Support: (Preferred) Work with PHP (Laravel) applications where necessary to maintain existing integration logic. What Makes You a Great Fit 4 5 years of specialized experience in the US Healthcare RCM domain. The ability to handle "non-standard" data extraction through automation workflows when traditional APIs are unavailable. Excellent debugging skills for complex, multi-party data pipelines. A collaborative mindset focused on creating high-impact, innovative healthcare technology solutions.

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

Role: Senior Relationship Manager Wealth Manager Location: Chennai Experience Required: 6 8 Years Job Type: Full-Time About Scripbox Founded in 2012, Scripbox is India s leading Digital Wealth Management platform. Our mission is simple: to demystify investing using technology, data, and science. With a customer-first approach, we guide individuals through their investment journey, helping them build wealth and achieve long-term financial goals. Be a Change-Maker: Join a company that s transforming wealth management through technology and innovation. Drive Real Impact: Play a strategic role in scaling a high-growth business channel. Collaborate & Innovate: Be part of a team that thrives on ownership, collaboration, and continuous learning. Empower Financial Futures: Help clients make confident, informed decisions about their wealth. Grow Your Career: We invest in our people your growth matters as much as our success. Role Overview As a Senior Relationship Manager Wealth Manager, you ll manage a portfolio of high-net-worth clients, delivering personalized financial advice and wealth planning. You ll also lead and mentor a team of Junior and Trainee Relationship Managers, helping them excel while contributing to strategic business growth. Key Responsibilities Client Portfolio Management Serve as the lead advisor for a portfolio of HNI clients, offering tailored investment strategies. Conduct deep-dive financial planning, goal-based asset allocation, and risk profiling. Handle complex financial situations, guiding clients through volatile markets and critical decisions. Team Leadership Coach and mentor Junior and Trainee RMs, promoting a high-performance, client-first culture. Conduct regular feedback sessions and performance reviews. Ensure adherence to Scripbox s standards of credibility, reliability, and trust. Business Growth & Strategy Drive growth in Net AUA by deepening relationships and securing referrals. Initiate and implement strategies to enhance client experience and operational processes. Represent Scripbox at client events, industry forums, and thought leadership platforms. Who We re Looking For Experience & Qualifications 7+ years in wealth management or a related financial advisory role. Proven experience in team management or mentoring roles. Bachelor s degree (Finance/Economics preferred). Advanced certifications such as CFP or CFA Level 2/3 are highly preferred. Skills & Competencies Strong expertise in financial planning, mutual funds, portfolio structuring, and client engagement. Exceptional communication and relationship-building skills. High emotional intelligence and empathy, with the ability to earn trust and build lasting client relationships. Strategic thinking with a sharp focus on growth, efficiency, and team excellence. Career Path This role offers clear growth opportunities into Regional Manager and senior leadership roles within Scripbox s Wealth Management division. Qualification : Bachelors degree (Finance/Economics preferred)

Business Intelligence Lead Experience: 6+ Years Location: Chennai Company: Kaleidofin About Kaleidofin Kaleidofin is a pioneering fintech platform creating a digital ecosystem to provide financial access for everyone, everywhere. Through our ki credit platform, we deliver credit health assessments, middleware integration, advanced risk management dashboards, and debt capital market structuring enabling financial institutions to serve underserved segments like women entrepreneurs, farmers, and MSMEs across India, Bangladesh, and Kenya. With over 6 million customers impacted and more than $3 billion facilitated in debt capital, Kaleidofin is backed by global investors including the Gates Foundation, Omidyar Network, and Blume Ventures. Recognized internationally by Forbes Asia and the United Nations, and winner of RBI s Swanari TechSprint and G20 TechSprint 2024, we are committed to innovation and impact. Role Overview We are seeking an experienced Business Intelligence Lead to drive data analytics and reporting efforts that inform strategic decisions across risk, credit, compliance, fraud detection, and product performance. The ideal candidate will bring strong leadership, a deep understanding of financial services data, and hands-on expertise in BI tools and data governance. Key Responsibilities Team Leadership & Development Lead and mentor the Data Analytics team; identify skill gaps and implement training plans. Data Analysis & Insights Leverage BI tools (Power BI, Tableau, Looker) to deliver actionable insights that drive business and partner strategies. Develop and optimize dashboards and reports aligned with business goals. Data Visualization & Reporting Create clear, interactive visualizations for diverse stakeholders, ensuring accessibility and timeliness. Manage robust data pipelines using ETL/ELT tools like Informatica, Talend, or Airflow. Collaboration & Stakeholder Management Partner with cross-functional teams to gather data requirements and support executive, regulatory, and product reporting needs. Present insights to senior leadership to promote data-driven decision-making. Process Improvement & Automation Automate routine reporting and continuously enhance BI tools and workflows for efficiency and accuracy. Data Governance & Compliance Maintain data quality standards and governance practices ensuring compliance with data privacy regulations. Interface with auditors and compliance teams as required. KPI Management Achieve >90% data accuracy through audits and corrections. Ensure >80% user adoption of BI products by monitoring engagement metrics. Deliver cost savings by evaluating BI-driven efficiency improvements. Who You Are Bachelor s or Master s degree in Computer Science, Data Science, Information Systems, or related fields. 6+ years in BI, analytics, or data architecture, with 3+ years in leadership or architect roles. Hands-on experience with BI platforms (Power BI, Tableau, Looker) and proficient in SQL querying. Strong knowledge of financial data domains: credit scoring, transactions, KYC, fraud, lending, payments. Experience with credit bureau data (Experian, Equifax, CRIF) preferred. Experience with cloud data platforms (AWS, GCP, Azure) and data warehousing concepts. Familiarity with machine learning applications in BI or data science is a plus. Relevant certifications such as Microsoft Data Analyst Associate or AWS Certified Data Analytics are advantageous. Join a high-impact team revolutionizing financial inclusion. Work with cutting-edge BI technologies in a fast-growing fintech startup. Thrive in a culture that values innovation, collaboration, and continuous learning. Qualification : Bachelors or Masters degree in Computer Science, Data Science, Information Systems, or related fields

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

Job Title: Data Engineer Location: Chennai (Work from Office) Job Type: Full-time Experience: 2 to 4 years Job Description Blackstraw Technologies Pvt Ltd is seeking a skilled Data Engineer to join our dynamic team. You will play a crucial role in transforming raw data into actionable insights by designing and maintaining robust data pipelines and systems. Your work will ensure alignment between data infrastructure and business goals, helping to drive efficiency and scalability. You will leverage your analytical skills and proficiency in various programming languages to integrate, process, and optimize data from diverse sources. You will also collaborate closely with data scientists and end-users to support data-driven decision-making. Key Responsibilities Design, build, and integrate data pipelines from multiple sources for analytics and operational purposes. Perform data integration and troubleshoot production and development issues. Develop, automate, and optimize ETL pipelines and workflows. Work with big data technologies including Hive, Spark, and Hadoop; optimize performance for large-scale data processing. Write and maintain efficient Spark/PySpark or Spark/Scala programs. Utilize strong SQL skills for querying and database design. Develop shell scripts (Unix/Linux) to automate data processing tasks. Collaborate with data scientists and various business teams to understand and fulfill data needs. Maintain and deploy ETL code following Agile methodologies. Handle service delivery tickets and provide support related to ETL tools. Participate in root cause analysis and problem resolution for data pipeline issues. Required Skills & Qualifications Bachelor s degree in Computer Science, Information Technology, or related field; Master s degree is a plus. 2 to 4 years of hands-on experience in data engineering or related roles. Strong expertise in ETL development and data integration tools. Proficiency in Spark (PySpark or Scala), Hive, and Hadoop ecosystem. Advanced SQL skills and experience with relational database management systems (RDBMS). Experience with shell scripting in Unix/Linux environments. Familiarity with Java, Python, or Scala programming languages is desirable. Knowledge of Cloud platforms (Azure preferred) is a plus. In-depth understanding of Retail domain data and business processes is advantageous. Excellent analytical, organizational, and communication skills. Experience with Agile project management and teamwork. About Blackstraw Technologies Pvt Ltd Founded in 2015 and fully operational since 2018, Blackstraw Technologies is a global software products and services company specializing in Artificial Intelligence (AI) and Machine Learning (ML) solutions. Our AI platform accelerates data labeling, model training, and deployment across cloud and on-premise environments. Our 250+ member team boasts over 900 years of combined experience, focusing on areas such as computer vision, natural language processing, and deep learning annotation tools. We enable enterprises worldwide to rapidly adopt AI in a cost-effective, plug-and-play manner. Headquartered in Florida, USA, Blackstraw has operations across Canada, the USA, and India. Qualification : Bachelors degree in Computer Science, Information Technology, or related field. Masters degree is a plus.

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.

Job Title: Hardware Integration Engineer Location: Chennai, Tamil Nadu Job Summary We are seeking a skilled and proactive Software Engineer to join our IoT engineering team. The focus will be on building intelligent asset tracking systems using BLE beacons and RFID sensors. The ideal candidate will have hands-on experience with BLE and RFID technologies, GPIO sensor integration, backend development with Java Spring Boot and Python scripting, as well as algorithm design for real-time asset localization and monitoring. This role suits individuals passionate about IoT systems and edge software-to-cloud integration. Key Responsibilities Design and develop asset tracking solutions integrating BLE and RFID readers. Interface with RFID readers and GPIO-based sensors to monitor asset movement and presence. Develop scalable applications using Java Spring Boot to manage device communication, data ingestion, and user-facing APIs. Implement advanced signal processing and filtering algorithms (e.g., MAD, trilateration, interference detection) for precise asset location estimation. Integrate BLE gateway and RFID sensor data into real-time tracking systems. Configure GPIO pins for sensor input, RFID status tracking, and alert generation. Manage data storage, querying, and analytics using MySQL and H2 databases. Develop automated tests and diagnostics to ensure system robustness and reliability. Collaborate with hardware, network, and data science teams for seamless end-to-end solution delivery. Qualifications Minimum 2 years of software development experience in Java (Spring Boot) and Python. Hands-on experience integrating BLE beacons and RFID readers, including working with GPIO interfaces. Strong understanding of signal processing techniques such as RSSI filtering, trilateration, and proximity estimation. Experience integrating hardware (RFID, sensors) with software systems and communication protocols. Proficient in MySQL and optionally H2 database for embedded or lightweight deployments. Excellent debugging, problem-solving, and algorithm design skills.

Job Overview Senior Engineer - Data Engineering in the Automotive domain with 3-7 years of experience Extensive expertise in pyspark, hadoop, and gcp for designing and implementing data pipelines Proficient in tensorflow, python, and SQL for automation, data quality, and optimization Skilled in big data technologies like numpy, pandas, and data manipulation Responsible for architecting scalable data pipelines, data transformation, performance optimization, monitoring, and collaboration with cross-functional teams Bachelor's degree in Computer Science or equivalent; preferred certifications include Professional Data Engineer and Google Cloud Certified - Professional Data Engineer Good to have experience with CI/CD practices, data processing libraries, data quality, Pub/Sub architectures, and Tekton pipelines management Roles & Responsibilities Architect and Develop Data Pipelines: Lead the design, development, and maintenance of scalable and efficient data pipelines using GCP services like Pub/Sub for real-time data ingestion and BigQuery for storage and analysis. Data Transformation and Processing: Implement data transformation processes to cleanse, enrich, and aggregate raw data from diverse sources, ensuring data quality and consistency. Performance Optimization: Fine-tune data pipelines and queries to enhance performance, reduce latency, and ensure timely data access for stakeholders. Monitoring and Maintenance: Implement monitoring solutions for tracking pipeline performance, addressing issues proactively, and conducting regular maintenance tasks to uphold data infrastructure reliability. Collaboration: Collaborate with Data Scientists, Software Engineers, and Business Analysts to understand data requirements and provide technical solutions to meet business needs. Documentation: Document data pipelines, processes, and best practices to facilitate knowledge sharing and maintain a comprehensive understanding of data architecture. Our ideal candidate Extensive knowledge and proficiency in pyspark, hadoop, and gcp Advanced skills in designing and implementing data pipelines, data modeling, and data warehousing solutions Proficiency in tensorflow and python for automation scripts and data quality Strong SQL skills for querying and optimizing data warehouse operations Expertise in big data technologies like numpy, pandas, and libraries for data manipulation and analysis Monitoring data processes, utilizing GCP services, and implementing data engineering best practices Prioritizing skills in GCP, BigQuery, Python, Data Modeling, SQL, and Data Warehousing Bachelor of Technology (B.Tech) or Bachelor of Engineering (B.E) in Computer Science or Information Technology, or a Master of Technology (M.Tech) in Data Science or Big Data Analytics Certifications such as Professional Data Engineer and Google Cloud Certified - Professional Data Engineer preferred Company overview Altimetrik delivers outcomes for our clients by rapidly enabling digital business & culture and infuse speed and agility into enterprise technology and connected solutions. We are practitioners of end-to-end business and technology transformation. We tap into an organization s technology, people, and assets to fuel fast, meaningful results for global enterprise customers across financial services, payments, retail, automotive, healthcare, manufacturing, and other industries. Founded in 2012 and with offices across the globe, Altimetrik makes industries, leaders and Fortune 500 companies more agile, empowered and successful.Altimetrik helps get companies get unstuck . We re a technology company that lives organizations a process and context to solve problems in unconventional ways. We re a catalyst for organization s talent and technology, helping teams push boundaries and challenge traditional approaches. We make delivery more bold, efficient, collaborative and even more enjoyable. Qualification : Bachelor of Technology (B.Tech) or Bachelor of Engineering (B.E) in Computer Science or Information Technology, or a Master of Technology (M.Tech) in Data Science or Big Data Analytics

Role Overview: We are seeking an experienced Business Head / Practice Head for the Ideas2IT Consulting Practice. The ideal candidate will have substantial experience in the Indian IT services industry, specifically in areas such as Digital Transformation, Solution Design & Consulting, Pre-Sales, and Customer Advisory. As a leader, you will take end-to-end ownership of the consulting team, collaborating with the Ideas2IT executive team. The role involves overseeing all aspects of the consulting practice, from strategy to execution, with significant responsibilities in Pre-Sales. Why Choose Ideas2IT? At Ideas2IT, we combine the best attributes of both product startups and services companies. With multiple product initiatives and customer-facing projects, you will have exposure to diverse technologies and growth opportunities. As Generative AI (Gen AI) continues to transform industries, we are committed to leveraging these advancements, alongside leading companies like Microsoft. What s in it for You? End-to-End Ownership: Oversee the entire consulting practice, including strategy, execution, offerings, pre-sales, revenues, consulting project execution, and people leadership. Strategic Leadership: Lead the consulting offerings portfolio, defining and maintaining the value proposition. Team Leadership: Set up and manage a central Pre-Sales team that collaborates with sales, practice, and delivery teams to develop proposals and presentations. Thought Leadership: Create value through articles, blogs, lead magnets, and speaker sessions. Impactful Projects: Lead and execute consulting projects, including workshops, assessments, and advisory engagements. What You ll Bring: Industry Experience: 18-20 years of experience in the IT services industry. Consulting Expertise: 10-12 years in consulting, practice, and pre-sales roles, with a deep understanding of Digital Transformation, AI & ML, Data Science, Data Engineering & Analytics, BI, and Cloud technologies. Pre-Sales Proficiency: Hands-on experience in Pre-Sales, working closely with sales and practice teams to develop proposals and presentations. Consulting Leadership: Proven experience in executing consulting projects such as workshops, assessments, and advisory engagements. Project Delivery: Strong knowledge of IT services project execution and delivery, especially in the Global Delivery (Onsite-Nearshore-Offshore) model. Leadership Skills: Outstanding leadership abilities, with excellent communication and collaboration skills. Ability to work as an Individual Contributor and across team boundaries. Domain Expertise: Consulting experience with US customers, particularly in the healthcare sector. Technology Proficiency: Prior experience in custom Application Development with the latest technology stacks, along with knowledge of AI, ML, Gen AI, and LLMs. Industry Knowledge: Domain expertise in healthcare and/or financial services is preferred. About Ideas2IT: Ideas2IT operates at the intersection of Technology, Business, and Product Engineering, delivering high-caliber Product Development services. Initially established as a CTO consulting firm, we have evolved into leaders in cutting-edge technologies like Generative AI, helping our clients embrace innovation. We specialize in applying technology to address real-world business challenges. Our proven track record includes developing AI-driven solutions for industry giants such as Facebook, Bloomberg, Siemens, and Roche. Leveraging our product-centric approach, we ve successfully incubated AI-based startups like Pipecandy, Element5, IdeaRx, and Carefi, all backed by venture capital. With 14 years of remarkable growth, we are committed to pushing boundaries and achieving ambitious objectives. Qualification : 10-12 years of prior experience in consulting, practice and pre-sales related roles

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

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.

About Arcadia: Arcadia is a leading technology company focused on solving the climate crisis by empowering energy innovators and consumers. We re revolutionizing the energy industry with our software and APIs, creating access to the data and clean energy necessary for building a decarbonized energy grid. Since our founding in 2014, Arcadia has been working to break the fossil fuel monopoly and offer high-quality clean energy options to consumers and small businesses. Today, we ve launched Arcadia Platform, a SaaS product that is transforming the energy industry into a data-driven network. With a $1.5B valuation and $500M raised, Arcadia is scaling its operations to solve one of the world s most significant challenges. We re building a diverse team of individuals who are passionate about making a difference. Join us in shaping a clean energy future! What We re Looking For: We are seeking a thoughtful, empathetic, and driven Engineering Manager to lead and grow our team of four engineers responsible for building data products for Arcadia s customers and internal stakeholders. You will guide the team to solve complex data engineering and analytics problems, while ensuring their professional growth and development. You will also work closely with the Director of Data and Analytics Engineering to develop roadmaps and strategies that align with the business needs. The role is based in Chennai, India, with a hybrid remote-first approach, and offers the opportunity to shape a world-class data ecosystem in a fast-paced, high-growth environment. What You'll Do: Empower and guide engineers: Lead a team of engineers in solving complex data problems within the energy sector. Work with cross-functional teams: Collaborate with Product, Design, and Marketing teams to define roadmaps and strategies for our Platform business. Drive technical excellence: Contribute to technical discussions and ensure that the team is building scalable data pipelines and assets. Mentor and develop team members: Provide ongoing mentorship, aligning team members skills, interests, and career aspirations with business needs. Facilitate regular feedback and performance discussions. Lead by example: Foster a culture of empathy and humanity while delivering results in a fast-paced environment. Align stakeholder expectations: Represent engineering concerns to ensure alignment with business priorities and goals. What Will Help You Succeed: Must-Haves: 6+ years of experience, with 2+ years in a leadership/management role on a data engineering or analytics engineering team. Deep understanding of modern data and analytics engineering practices, with the ability to contribute hands-on when necessary. Experience with Python (in a data orchestration context) and SQL (in a data modeling context). A proven track record of mentoring and growing direct reports through feedback, goal-setting, and career development. Ability to navigate the relationship between Engineering, Product, and Design teams. Nice-to-Haves: Experience with tools and technologies in Arcadia s data stack: Snowflake dbt (or similar Analytics Engineering tools) Prefect (Airflow experience is a plus) AWS, Docker, Kubernetes (basic familiarity) GitHub and GitHub Actions Experience with scalability challenges at fast-growing startups. Familiarity with automating internal processes to improve operational efficiency. Experience with roadmap development and execution. Background in the energy sector or related fields. Benefits: Competitive compensation based on market standards. Hybrid remote-first model, promoting flexibility in work arrangements. Flexible leave policy to support work-life balance. Medical insurance for you and your family (up to 6 members), including accident and life insurance. Annual performance cycle with rewards and recognition. Quarterly team engagement activities to enhance collaboration and team spirit. Learning & Development programs to support continuous growth and skill-building. A supportive engineering culture that emphasizes diversity, empathy, teamwork, trust, and efficiency. Why Arcadia? At Arcadia, we celebrate diversity and believe that unique perspectives are essential to our collective success. We are committed to equal employment opportunities and welcome applicants from all qualified candidates eligible to work in India, regardless of race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, or protected veteran status. We are committed to providing reasonable accommodations for individuals with disabilities during the application process, interviews, or employment. Please contact us if you require accommodation. How to Apply: If you are excited about building the next-generation data ecosystem and contributing to Arcadia s mission of a clean energy future, we encourage you to apply. We look forward to learning what you will uniquely bring to our team! Qualification : 6+ years of experience, with 2+ years in a leadership/management role on a data engineering or analytics engineering team.

Job Title: Director - Enterprise Head of (ECS) Architecture Career Level - G Introduction to role The Enterprise Head of Enterprise Capabilities & Solutions (ECS) Architecture is responsible for the architecture across the ECS landscape, collaborating with other Heads of Architecture to support AstraZeneca's business and IT strategies. This role involves crafting AZ standards, patterns, and roadmaps, ensuring ECS architectures conform to them. The role partners with key business teams, IT Leadership, and other Heads of Architecture to develop AstraZeneca s Digital and Architectural landscape, aligned with business strategies and visions. Additionally, the role is responsible for key architecture processes such as standards and lifecycle management, drives change across EA, and addresses industry trends in defining AZ s vision. The role also acts as a sponsor or steering group member for multi-functional or enterprise-wide projects. Accountabilities Provide Enterprise Design thinking and support to ECS across the Enterprise, application, and infrastructure domains of architecture. Define the architecture strategy, direction, and standards pertinent to the ECS Segment. Lead the development and execution of Data & Analytics specific architecture capability and strategy. Handle performance and development of a team of Architects across various technology domains to deliver end-to-end architecture solutions. Define architecture strategy and principles, policies, and standards to produce function-specific reference architectures and solutions. Manage relationships with Data & Analytics leadership to influence adoption of enterprise architecture frameworks, standards, and policies. Drive the development of global enterprise standards for the central Architecture & Technology Strategy function. Analyze business data and AI priorities & strategies and translate these into architecture requirements for the enterprise. Act as an authority to the architecture community and the business regarding strategic architecture decisions for ECS. Refine architecture strategies, direction, standards, and patterns as required. Lead the development of Architecture Roadmaps and Blueprints (1-5 Year horizon). Ensure continuous alignment of capabilities with current business priorities and objectives. Chip in to multi-functional decision-making bodies. Act as a sign-off authority for solution and segment architectures as well as architecture blueprints and roadmaps. Champion ECS EA initiatives across IT (and business). Engage and build a network with external architecture authorities to stay updated with the latest trends and technologies in ECS. Act as a strategic architectural advisor for senior IT and Business management. Ensure ECS Architectures align with Global strategies and solutions. Analyze IT industry and market trends to resolve potential impact on the enterprise. Establish partnerships with key ECS technology suppliers. Provide thought leadership and sophisticated technical expertise for enterprise ECS architecture across IT. Drive the continuous development of the Architecture Capability within IT by championing standard process sharing. Partner closely with ECS service/engineering teams in refining architecture patterns, designs, and blueprints. Focus on cost reductions (efficiency). Drive adoption of new technology against the Architecture strategy roadmap (adoption would be the important metric). Manage vendor relationships. Ensure regulatory compliance. Foster team engagement. Essential Skills/Experience Bachelor s degree or equivalent experience in Computer Science or Data Management related field Extensive experience and knowledge of ECS solutions Ability to influence and deliver strategic vision, direction, and planning Blend of data architecture, analysis, and engineering skills Experience in known industry architectural patterns Understanding cloud-based containerization strategies for hybrid cloud environments Knowledge of appropriate data structure and technology based on business use case Experience in using data modeling technologies Desirable Skills/Experience Post-graduate degree in MIS, Data Management Extensive experience in a data architect role with practical examples of designing and providing data engineering blueprints that have been pragmatically implemented Experience in Agile data definition scrums Experience using metadata cataloguing tools Knowledge of Cloud Economics and Forecasting Qualification : Bachelors degree or equivalent experience in Computer Science or Data Management related field

Job Title: Cyber Security Reporting Analyst Career Level -D2 Introduction to role We are seeking a highly skilled and motivated Cyber Security Data Analyst to join our dynamic Cyber Security Risk & Reporting team. The successful candidate will have extensive experience in Power BI reporting, ETL (Extract, Transform, Load) processes, and AWS S3, and will be responsible for designing, developing, and maintaining our Cyber Security Reporting suite, enabling data-driven decision-making by our senior leaders. This role requires close collaboration with colleagues both within Cyber Security and IT functions across AstraZeneca s Enterprise Services and Business Technology Groups (BTGs). Accountabilities Data Analysis: Perform data analysis to identify trends, patterns, and anomalies. Work with large datasets to extract meaningful information and provide recommendations. Collaborate with business units to understand their data needs and deliver solutions accordingly. ETL Processes: Design, develop, and maintain ETL workflows to extract data from various sources, transform it according to business requirements, and load it into target systems. Ensure data integrity and quality throughout the ETL process. Fix, communicate, and support resolution of any ETL-related issues. Aws s3: Apply AWS S3 for data storage and management. Ensure effective data transfer and integration between AWS S3 and other data systems. Handle and maintain data security and access controls in AWS S3. Power BI Reporting: Develop, design, and maintain interactive Power BI dashboards and reports. Create data visualizations that provide actionable insights to stakeholders. Optimize Power BI models for performance and usability. Collaboration and Communication: Work closely with data and process owners, and business stakeholders to evaluate reporting needs. Communicate findings and insights effectively through presentations and reports. Deliver training and support to users on Power BI and data analysis techniques. Essential Skills/Experience A Bachelor s degree in Data Science, Computer Science, Information Technology, or a related field. 2 years+ experience as a Data Analyst or in a similar role within an IT capacity. High proficiency in Power BI, including DAX, Power Query, and the creation of complex data visualizations. Strong ETL (Extract, Transform, and Load) skills, with experience in tools such as SQL Server Integration Services (SSIS), Informatica, Talend, or similar. Experience using Power Automate to streamline repetitive processes. Experience with AWS S3 for data storage and integration. Solid understanding of databases and SQL. Ability to communicate at multiple levels within an organization and to confidently talk to and represent data sets. Skills and Capabilities Excellent analytical and problem-solving skills. Strong written and verbal communication skills along with the proven ability to present complex, technical information to both technical and non-technical audiences. Experience of autonomous working with direction and goal setting and ability to prioritize, re-schedule and adapt to changes in a dynamic environment. Be valued and respected for teamwork, integrity, and enablement. Desirable Skills/Experience Knowledge of cloud-based data warehousing solutions such as Azure Data Factory or AWS Glue. Familiarity with programming languages such as Python or R. Experience providing and delivering reports and metrics across multiple functions. Knowledge of presentation skills and styles. Experience in the pharmaceutical or healthcare industry. Experience of working in other IT disciplines and across a range of industries and sectors. Experience working in a global organization where stakeholders and team members are geographically dispersed. Qualification : Job Title: Cyber Security Reporting Analyst Career Level -D2 Introduction to role We are seeking a highly skilled and motivated Cyber Security Data Analyst to join our dynamic Cyber Security Risk & Reporting team. The successful candidate will have extensive experience in Power BI reporting, ETL (Extract, Transform, Load) processes, and AWS S3, and will be responsible for designing, developing, and maintaining our Cyber Security Reporting suite, enabling data-driven decision-making by our senior leaders. This role requires close collaboration with colleagues both within Cyber Security and IT functions across AstraZenecas Enterprise Services and Business Technology Groups (BTGs). Accountabilities Data Analysis: Perform data analysis to identify trends, patterns, and anomalies. Work with large datasets to extract meaningful information and provide recommendations. Collaborate with business units to understand their data needs and deliver solutions accordingly. ETL Processes: Design, develop, and maintain ETL workflows to extract data from various sources, transform it according to business requirements, and load it into target systems. Ensure data integrity and quality throughout the ETL process. Fix, communicate, and support resolution of any ETL-related issues. Aws s3: Apply AWS S3 for data storage and management. Ensure effective data transfer and integration between AWS S3 and other data systems. Handle and maintain data security and access controls in AWS S3. Power BI Reporting: Develop, design, and maintain interactive Power BI dashboards and reports. Create data visualizations that provide actionable insights to stakeholders. Optimize Power BI models for performance and usability. Collaboration and Communication: Work closely with data and process owners, and business stakeholders to evaluate reporting needs. Communicate findings and insights effectively through presentations and reports. Deliver training and support to users on Power BI and data analysis techniques. Essential Skills/Experience A Bachelors degree in Data Science, Computer Science, Information Technology, or a related field. 2 years+ experience as a Data Analyst or in a similar role within...

Introduction to role Accountabilities Support assessment of all aspects of business performance in the functional area: create and design dashboards, evaluate metrics and outputs, and report on business performance. Support the functional area s scorecard, ensuring alignment with the wider IT reporting frameworks. Manage complex data collation across activities and from multiple sources to enable regular scorecard production. Champion and support team scorecard production and metrics-based business performance improvement within teams across the business area. Ideate, build, and implement new service lines within the business performance team for the core business to operate smoothly and efficiently. Understand and measure key business indicators such as productivity, net utilization, efficiency, etc., across various teams. Conduct data collection, interpretation, and visualization across various performance-related metrics in a timely manner. Diligently work, maintain, and be responsible for certain internally auditable functions. Interact with the management team and appraise them of the site s performance and auditable functions. Be open to taking up additional responsibilities and working in other areas like L&D and Demand management. Essential Skills/Experience 7-9 years of experience in business performance or related role Strong skills on Microsoft Office Strong analytical background Excellent interpersonal and communication skills, with strong customer focus and attention to detail Ability to interpret and communicate technical information into business language Communicate to Stakeholders to understand business demands Excellent Business Presentation skills Desirable Skills/Experience ITIL Foundation Experience creating and publishing periodic scorecard metrics/risk indicators Working knowledge of Analysis tools (e.g., R, Predictive Workbench, Python) 2 years hands-on experience with BI tools with excellent knowledge of Power BI Experience in working with vendors and contractors Minimum Bachelor's degree is essential; Master's degree will be preferred Preferable industry experience in IT Services, Technology Centers, or Consulting 6-7 years of similar role experience When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace, and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. At AstraZeneca, our work has a direct impact on patients by transforming our ability to develop life-changing medicines. We empower the business to perform at its peak by combining cutting-edge science with leading digital technology platforms and data. Our dynamic environment offers countless opportunities to learn and grow, whether it's exploring new technologies in hackathons or transforming roles and work processes. Join us to innovate, take ownership, and make a meaningful impact. AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.

Job Title: Lead Consultant - HyperAutomation Career Level - E Introduction to role ECS is a global Centre for Enablement supporting AstraZeneca (AZ) business owners with multiple scalable solutions. ECS includes nearly 800 staff spread across 6 countries and capabilities in scope critical to how AZ builds, tests, and supports IT platforms and products of the future. The core IT capabilities within ECS scope include HyperAutomation (RPA / OpenAI / Low-Code No-Code/ Process-mining technologies), Software Quality & Testing, Extended Reality including AR/VR, Software Engineering, and Cross-functional Enterprise Software Platforms (Service Now, SalesForce). Accountabilities The Solution Architect of Software Engineering domain will work closely with the Head of Architecture (ECS), ECS projects teams, stakeholders across AZ and is accountable for design of software artifacts across ECS in compliance to global AZ enterprise standards, ensuring holistic Business, Application, Information, and Infrastructure architecture for components with ECS. The Solution Architect ensures that AZ technical solutions are delivered to AZ defined reference architecture and technology standards. The role will ensure that common architecture decisions are implemented consistently across the business and IT. The role will provide Information Technology architectural expertise and technical direction to system development and integration projects. The Architect will work on architectures for business solutions and will specialize in at least one architecture domain aligned domain for this role being Software Engineering. To be successful in this role the candidate needs to be an experienced solution architect who enjoys working in a fast-paced environment and a global team. The ability to work and communicate with senior business stakeholders to understand their goals, capabilities needed, and requirements and to translate these into comprehensive solution blueprints is essential. A clear, logical style, an ability to document solution architecture and key design decisions in a blueprint, and to work closely with business analysts and project managers is crucial. Essential Skills/Experience Relevant technical degree or equivalent. Proven skills and experience being a solution architect on projects and programmes. Proven development/design experience in Microsoft Power Platform. Expertise in following technologies: Microsoft Power Platform. Dynamics 365 customer engagement apps. Experience in one of the following technologies: Automation Anywhere. UI Path. Experience in more than one programming language (Java/Javascript/Python). Experience of developing innovative solutions, blueprints and standards for solution design. Experience implementing and maintaining business solution architectures under any formal framework for their domain of architecture. Experience of developing and managing relationships with 3rd party suppliers. Excellent analytical skills. Excellent communication, facilitation and relationship management skills. Strong networking skills with good internal/external links. Evidence of shaping innovative solutions that have a major impact within the business area and organisation. Awareness of developments in the marketplace for potential impact to AZ / ECS IT. Excellent business acumen and strong knowledge of manufacturing business processes. Demonstrated initiative, strong customer orientation, and cross-cultural working. Desirable Skills/Experience N/A When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. At AstraZeneca, our work has a direct impact on patients by transforming our ability to develop life-changing medicines. We empower the business to perform at its peak by combining cutting-edge science with leading digital technology platforms and data. Join us at a crucial stage of our journey in becoming a digital and data-led enterprise. Make the impossible possible by building partnerships and ecosystems, creating new ways of working, and driving scale and speed to deliver exponential growth. With a dynamic environment that encourages innovation, there are countless opportunities to learn, grow, and make a meaningful impact. AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.

DevOps Engineer Location: Chennai Work Type: Full Time About Tazapay Tazapay is a global cross-border payments service provider, enabling businesses to collect payments locally in 70+ markets through local payment methods, virtual accounts, and cards. With Tazapay, merchants can expand internationally without setting up local entities, supported by our compliance framework that handles regional regulations and requirements. This approach delivers lower transaction costs, transparent FX, and higher authorization rates, empowering businesses to scale globally with ease. Tazapay is licensed across multiple jurisdictions and backed by leading global investors. This is a unique opportunity to join an amazing team right before our next stage of rapid expansion. At Tazapay, you ll: Build meaningful systems from the ground up See your work directly impact thousands of global users Collaborate with world-class teams across Engineering, Product, Sales, Marketing, Finance, and more Be part of a culture that values openness, innovation, and shared memories Ready for the ride? Come discover what you can create with us. About the Role We are looking for a DevOps Engineer who is passionate about automation, simplicity, and building scalable infrastructure. You ll help design, implement, and maintain core cloud platforms and CI/CD pipelines that power Tazapay s global payment products. You will work across cloud infrastructure, observability, security, deployment automation, and microservices helping to enable fast, reliable, and secure delivery of new features. Requirements Must Have Education & Mindset Degree in Computer Science, Software Engineering, IT, or equivalent experience Strong curiosity about how things work Passion for learning new technologies and improving systems Obsession with automation, simplicity, and elegant engineering Ability to jump into new situations with minimal structure and improve processes Technical Skills Extensive hands-on experience with AWS services Strong familiarity with at least one programming/scripting language (Python, Go, or Shell) Experience with Load Balancing and API Gateway Basic understanding of REST or gRPC & Protocol Buffers Understanding of Kubernetes and Cloud Native technologies Experience with CI/CD tools such as GitHub Actions or Jenkins Infrastructure as Code experience: AWS CDK, CloudFormation, Terraform Familiarity with observability stacks: OpenTelemetry, Prometheus, Grafana Experience working with containerization tools like Docker Experience managing RDBMS/NoSQL systems (Postgres, MongoDB) Background in microservice architecture Experience with configuration management tools Strong understanding of OS fundamentals, especially Linux Nice to Have Prior startup experience Familiarity with AWS data engineering services (DMS, Glue, Athena, Redshift, QuickSight) Experience working with geo-distributed teams AWS Cloud Certifications Basic security knowledge (OWASP, static code analysis) Experience with fintech security and compliance standards (PCI-DSS, SOC 2) Qualification : Degree in Computer Science, Software Engineering, IT, or equivalent experience

Position: Backend Developer Location: Chennai Department: Engineering Job Type: Full-time Industry: E-Publishing About Us Kriyadocs is a leading document workflow platform for the publishing industry. For over 18 years, we ve partnered with world-renowned publishing houses to deliver world-class, publication-ready digital and print content. By embracing cutting-edge technology and streamlined processes, we provide innovative solutions that make publishing seamless and efficient. At Kriyadocs , we re driven by technology at our core, always staying ahead of the curve to offer the best capabilities for both our clients and employees. This commitment is reflected in our vision to simplify publishing as easily as the click of a button. Our Vision To revolutionize content publishing and become the go-to partner for individuals and organizations sharing knowledge. Our Mission To deliver seamless, high-quality content publishing through technology and innovation, ensuring happy authors and employees alike. What It s Like to Work Here At Kriyadocs, we embody a culture of: Delivering Excellence, Delivering Delight Staying Curious, Staying Driven Dreaming Big, Rising Together You ll fit right in if you re: Fearless in tackling challenges Eager to learn new skills and achieve successful outcomes Passionate about taking pride and ownership in everything you do Role Overview We re seeking a passionate Backend Developer to join our dynamic development team. You ll be working on innovative, cutting-edge technologies to build scalable and robust systems. If you enjoy solving complex problems, thrive in a collaborative team environment, and love to ask "why?" we want to hear from you! This role requires strong analytical skills, the ability to communicate complex technical decisions clearly, and a readiness to take ownership in an agile development environment. What You ll Do Engage in the entire application lifecycle, focusing on coding, debugging, and testing. Write, refine, and test code to ensure stability and compatibility across different systems. Troubleshoot and debug applications to maintain seamless functionality. Collaborate with front-end developers to integrate user-facing elements with server-side logic. Follow project specifications to design and develop features, ensuring alignment with requirements. Document processes and knowledge for future reference and team learning. Must-Have Skills 1+ years of experience in a modern programming language such as Java, GoLang, Node.js, Python, or Ruby on Rails (RoR). Strong understanding of data structures, algorithms, and software design principles like SOLID. Strong problem-solving abilities and analytical aptitude. Excellent verbal and written communication skills, with the ability to explain technical concepts to non-technical stakeholders. Experience with version control tools like Git or SVN. Flexibility to work with multiple programming languages (e.g., Node.js, Python) and technologies like XSLT and XML Pipelines. Good-to-Have Skills Experience working with the Node.js stack. Familiarity with unit testing and automation frameworks. Experience in a public cloud environment (AWS preferred). Exposure to distributed microservice architectures. Understanding of the Agile product development lifecycle. Eligibility Criteria Bachelor's or Master s degree in Computer Science or a related field from a reputed institution. Internship experience in software development is a plus. 1-2 years of relevant work experience. Qualification : Bachelor's or Masters degree in Computer Science or a related field from a reputed institution