Clinical Data Science Jobs in Chennai

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 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 looking for a Content Analyst to join our Selection team in Chennai responsible for selection, indexing and routing all scientific information aimed to support all Life Sciences content creation from a variety of sources, including conference meeting abstracts, posters, journal articles and patents. About You experience, education, skills, and accomplishments Master s Degree in Lifesciences At least 2 years experience in a global corporate setting with scientific content analysis and editing preferred In-depth knowledge of pharmaceutical drug pipelines, drug development, clinical phases Excellent English written and verbal communication skills It would be great if you also had the following: Experience in secondary research related to clinical information Ability to delve deep into content and results Deep analysis of the scientific literature for Selecting, Indexing and Routing relevant scientific information from journal articles, conference abstracts and patents according to the in-house editorial policies Accountable for the delivery of weekly targets Ensure quality standards are achieved Recording of performance against target Taking an active role within the team to ensure targets are met Adhere to SOP and Policies Maintain a flexible and adaptable approach to process changes Take responsibility for identifying your technology training and developmental needs on an ongoing basis Perform any other reasonable duties as requested by your line manager/director on a permanent or temporary basis About the Team The team works for the products Cortellis Competitive Intelligence and Cortellis Drug Discovery Intelligence. The team consists of 11 colleagues across Spain and India (Chennai and Hyderabad) and this role reports into the Selection Team Manager. Hours of Work 8 hours per day (Full-Time, Permanent) Location - Chennai At Clarivate, we are committed to providing equal employment opportunities for all persons with respect to hiring, compensation, promotion, training, and other terms, conditions, and privileges of employment. We comply with applicable laws and regulations governing non-discrimination in all locations. Qualification : Masters Degree in Lifesciences

About ICON: ICON is the world s largest and most comprehensive clinical research organization, powered by healthcare intelligence. We are at the forefront of transforming healthcare by providing global clinical research solutions that help our clients develop groundbreaking treatments. With a commitment to excellence and innovation, we offer a dynamic and inclusive environment where every team member contributes to life-changing solutions. Role Purpose: As a Senior Clinical Data Coordinator (CDC), you will play a key role in ensuring the accurate, complete, and consistent generation of clinical databases. You will support various clinical data management activities to meet project-specific timelines, while adhering to Good Clinical Practices (GCP), ICON Standard Operating Procedures (SOPs), and relevant regulations. This role is ideal for professionals with experience in clinical data management, strong problem-solving skills, and a passion for ensuring high-quality data in clinical trials. Key Responsibilities: Data Management Activities: Perform core data management tasks, including data cleaning, query management, and external data reconciliations. Handle SAE (Serious Adverse Event) reconciliations and support study conduct and closeout activities. Download and import data into multiple systems, supporting data transfer processes and systems. Study Setup & Support: Assist in study set-up in the ADDS (Automated Data Download System). Work with data managers to handle questions, troubleshoot issues, and resolve data-related concerns. Technical & Compliance Support: Ensure compliance with GCP, SOPs, ICH guidelines, and applicable regulations. Support the specifications for conformance checks, data transfer agreements, and systems used for downloading/importing data. Collaboration & Communication: Maintain day-to-day contact with data managers and cross-functional teams. Communicate effectively across global teams and external stakeholders. Qualifications & Skills: Educational Background: University or college degree in Life Sciences, Computer Science, Pharmacy, Nursing, or a relevant equivalent degree. Experience: Minimum 4-6 years of experience in core Data Management (DM) activities within clinical trials. Hands-on experience with Query Management, Data Cleaning, External Data Reconciliations, SAE Reconciliations, Conduct Activities, and Closeout Activities. Strong experience with Electronic Data Capture (EDC) systems, Veeva EDC preferred. Technical Skills: Knowledge of end-to-end clinical trial data transfer processes. Proficiency in clinical data management systems and processes. Personal Skills: Excellent problem-solving skills and ability to work under pressure. Strong interpersonal skills and the ability to communicate effectively in a global, diverse environment. Excellent written and verbal communication skills. What ICON Can Offer You: ICON values its people, offering a competitive salary and benefits designed to enhance well-being and work-life balance. Some of the benefits include: Annual Leave Entitlements A range of health insurance offerings for you and your family Retirement Planning offerings for financial security Global Employee Assistance Programme (TELUS Health) offering 24/7 support Life Assurance Flexible country-specific optional benefits like childcare vouchers, gym memberships, subsidised travel passes, and more. Why Join ICON? ICON offers a dynamic environment where you will be part of a diverse team contributing to cutting-edge healthcare solutions. Join us and be part of a culture that rewards high performance and nurtures talent, with ample opportunities for growth and development in the clinical research field. If you have the relevant experience and are passionate about contributing to global clinical research, apply now and help us make a lasting impact on healthcare. Qualification : University or college degree in Life Sciences, Computer Science, Pharmacy, Nursing, or a relevant equivalent degree.

About ICON: ICON is the world s largest and most comprehensive clinical research organization, driving innovation to improve global healthcare. We are dedicated to delivering high-quality clinical trials and research solutions, helping our clients transform healthcare. As part of our dynamic team, you ll contribute to life-changing solutions and work in a diverse, inclusive environment that values performance and talent development. Role Overview: The Investigator Payments Coordinator plays a crucial role in supporting the Investigator Payments Group (IPG), ensuring the accurate and timely processing of investigator payments in accordance with clinical trial contracts. This role requires excellent communication, attention to detail, and the ability to manage payments efficiently in collaboration with multiple internal and external stakeholders. Key Responsibilities: Leadership & Teamwork: Embrace ICON s values of People, Clients, and Performance by recognizing the importance of teamwork, leadership, and client satisfaction. Support the Investigator Payments team with setup and maintenance of investigator payments. Be the point of contact for issue escalation when senior members of the team are unavailable. Continuously strive to improve personal job performance and stay updated on IPG systems and processes. Contribute to creating a positive and collaborative working environment. Client & Stakeholder Engagement: Prepare communication materials and payment data for internal/external clients related to investigator payments and reporting. Conduct training sessions and meetings related to IPG processes and procedures. Handle and route payment queries to the correct team member and escalate delays or issues in a timely manner. Actively manage relationships with clinical teams, vendors, and staff to ensure smooth payment processes. Oversee Clinical/IPG study status meetings and report on study progress in relation to investigator payments. Operational Excellence: Quality oversight: Ensure payments are processed accurately and efficiently in accordance with IPG processes, timelines, and quality standards. Payment Due Form Accuracy: Validate payment forms by comparing paper copies with electronic files to ensure proper coding and accuracy. Maintain accurate financial records, ensure vendors are set up in ICON s financial systems, and handle any updates related to financial information. Review site contracts and accurately set up payees and budget schedules in line with signed agreements. Collaborate with Project Managers to ensure timely payment runs aligned with investigator contracts. Administrative & Reporting: Organize and maintain all necessary clinical study and IPG documentation. Prepare meeting minutes, send requests, and organize logistics for meetings. Ensure all necessary logs and tracking tools are maintained for ongoing studies. Contribute to writing and updating IPG SOPs/Work Procedures to improve workflows and ensure compliance. Monitor and implement process improvements within IPG and contribute to broader organizational initiatives. Qualifications & Skills: Educational Background: Bachelor s degree or equivalent in Life Sciences, Pharmacy, Nursing, or related field. Experience: 2+ years of experience in clinical trial payments, financial systems, or a related role within clinical research. Familiarity with clinical trial payment processes and systems (e.g., ICONomics). Strong experience in data reconciliation, contract review, and payment quality control. Skills & Competencies: Strong communication skills with the ability to liaise effectively with internal and external stakeholders. Excellent organizational skills with attention to detail and accuracy. Proven ability to manage and prioritize tasks in a fast-paced environment. Knowledge of clinical trial financial processes, SOPs, and regulations. What ICON Can Offer You: ICON is committed to fostering a diverse and high-performing culture. In addition to a competitive salary, we offer a range of benefits designed to enhance your well-being and support a healthy work-life balance, including: Annual Leave Entitlements Health insurance offerings tailored to you and your family s needs Retirement planning opportunities for future savings Global Employee Assistance Programme (LifeWorks) providing 24/7 support Life Assurance Flexible benefits such as childcare vouchers, gym memberships, subsidized travel passes, and more. Why Join ICON? By joining ICON, you will become part of an innovative, client-focused team dedicated to making a difference in global healthcare. You will have the opportunity to grow professionally, contribute to life-changing projects, and thrive in a supportive and dynamic environment. Qualification : Bachelors degree or equivalent in Life Sciences, Pharmacy, Nursing, 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.

Role Title: AT-GTEL, Chennai Line: Scientist (Chem Analytical) Global Job levels Job Family Group: Research and Development Job Family: 093- Chemistry-Analytical Job Category: Research Job Level: R01 - Associate Scientist Job Code: 600061 Management Level: J040 (04B) Why Patients Need You Pfizer s purpose is to deliver breakthroughs that change patients lives. Research and Development is at the heart of fulfilling Pfizer s purpose as we work to translate advanced science and technologies into the therapies and vaccines that matter most. Whether you are in the discovery sciences, ensuring drug safety and efficacy or supporting clinical trials, you will apply cutting edge design and process development capabilities to accelerate and bring the best in class medicines to patients around the world. Accountability: Responsible for Analytical Method development, Method Validation (for E&L workflow support is preferred), Method transfer, Routine analytical and stability study support for API, Intermediates and different DP formulations with the guidance and mentorship by senior chemist or supervisor. What You Will Achieve As a Scientist, you will be at the center of our operations and you ll find that everything we do, every day, is in line with an unwavering commitment to quality. With your deep knowledge in the discipline, you will be an active team member who influences at the project team level. You will perform qualitative and quantitative analyses of organic, inorganic compounds, or biologics to determine chemical and physical properties during chemical syntheses, fermentation or drug product development process. You will be using your scientific judgment to adapt standard methods and techniques by applying prior work experience and consulting others. Your ability to plan will help in preparing short-term work activities on projects. Your creativity in developing novel processes and new ideas will be used frequently. You will undertake mentoring activities to guide your team members. It is your hard work and focus that will help in making Pfizer ready to achieve new milestones and help patients across the globe. Responsibilities: He should adhere both quality and safety compliance according to organizational policies/procedures and regulatory guidelines. Responsible for development analytical methods and analytical method validation by UPLC, HPLC, GC, for API, DP, Intermediate and Raw materials. Working on E&L workflow is preferred. Test According to International Standards: Extractables & Leachables assessments for finished packaging: EMA, US-FDA, USP , , recommendations of PQRI Migrations-/simulated use studies Leachables shelf-life studies (GMP/cGMP studies) Should be conversant with the below analytical Techniques Headspace coupled to gas chromatography with mass spectral detection (HS-GC/MS) Gas chromatography with a mass spectral detection (GC/MS) Liquid chromatography with a diode array detection combined with mass spectral detection (HPLC-UV/MS) Liquid chromatography with multiple order mass spectral detection (LC/MS/MS) Inductively coupled plasma with optical emission detection (ICP-OES) and ICP-MS. UV/VIS Spectrophotometry Wet chemical methods: pH, TOC, conductivity, and others Other experiences: Ensure technical output is compliant with all Global Training Curricula for the instrument operations, material handling and certifications related to, Quality Ops, Manufacturing and EHS. Ensures compliance 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 deliverables versus target milestones. Requirements for all Global Job Levels Preferred Qualifications MSc/M Pharm/ Ph.D Preferred years of experience 2 to 4 years of Experience Experience with interdisciplinary drug development teams and industrial experience developing analytical strategies and methods in support of product and process development and to assess the quality and characteristics of biotherapeutics Experience working in a regulated environment, such as Good Laboratory Practices {part of GxP} Effective verbal and written communication skills Relationships: Small Molecule Technology Global Technology & Engineering Global Supply Chain Regulatory Sciences Global EHS Pharmaceutical Sciences Small Molecule Contract Research, Development and Manufacturing Organizations Academic Institutes 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 : MSc/M Pharm/ Ph.D

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

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

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

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 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: 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...

State of the art knowledge of modern synthetic methodology, including aspects of asymmetric synthesis, green chemistry, catalysis, and physical organic chemistry as it relates to reaction mechanism is expected. Contemporary knowledge of drug development, the pharmaceutical industry, and fundamental principles of process development from a laboratory and manufacturing perspective. Strong track record of successful delivery of projects, using sound scientific analysis and judgment to advance programs Good interpersonal skills Experience of leading small teams of 5-8 chemists, mentoring and directing other colleagues. Excellent oral and written communication skills, including the ability to maintain an accurate scientific notebook, and draft concise emails, written reports, publications, synthesis information packages and related documents Rational, innovative and creative approach to problem solving. Job location: Onsite, Chennai Lead a group of 5-8 process chemists at an external partner located in India to deliver phase-appropriates processes and vendor synthetic information packages (VSIPs) for Pfizer s Drug-Linker portfolio. Use extensive technical knowledge and experience in state-of-the-art organic and process chemistry to develop safe, sustainable, robust, cost-efficient, and phase-appropriate process that are aligned with internal business needs. Develop strategic plan to develop and implement purification and separation capabilities at the external partner that is driven by drug linkers portfolio needs with internal stakeholders. Work collaboratively and effectively, building and leading high performing teams Ensure accurate and timely documentation of experimental work, and clear and concise presentation of work to stakeholders both internally and externally. Co-ordinate work with other functions (Process safety, engineering, analytical)/ departments to achieve project objectives. Build a strong interface and network with Pfizer s Chemical Process and Analytical Development group (Global Chemical Research and Development) and keep up to date with synthetic and technology advancements. Support in designing and refining workflows and metrics. Look for opportunities to align, share and implement best practices. Contribute to the development of a strong scientific, process chemistry, safety and quality culture within the chemistry labs. Master s degree in Chemistry, Chemical Engineering or a related field and 10+ years of experience in process chemistry research and development towards New Chemical Entities (APIs) or fine chemicals or PhD in Organic Chemistry or a related field with 6+ years of experience in process chemistry research and development towards New Chemical Entities (APIs) or fine chemicals Develop state of the art purification strategies and capabilities for complex synthetic molecules such as Drug-Linkers. Plan the scientific direction of projects by providing high quality experimental planning, evaluation and characterization of chromatography purification and synthetic processes. Work Location: Onsite, Pfizer Chennai 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 Qualification : Masters degree in Chemistry, Chemical Engineering or a related field and 10+ years of experience in process chemistry research and development towards New Chemical Entities (APIs) or fine chemicalsorPhD in Organic Chemistry or a related field with 6+ years of experience in process chemistry research and development towards New Chemical Entities (APIs) or fine chemicals

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)

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: 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.

Operations IT Data Technologist About Dow At Dow, we put people first and are committed to integrity, respect, and safety for our employees, customers, and the planet. We are a diverse community of relentless problem-solvers who thrive on collaboration, innovation, and the pursuit of a sustainable future. By leveraging science and technology, we help transform industries and shape the world we live in. If you're looking for a meaningful and challenging role, you're in the right place. About the Role As an Operations IT Data Technologist, you will play a key role in data management and system optimization within manufacturing facilities. You will lead and support projects, manage SAP Master Data Configuration, and ensure alignment across global operations. This role requires a strong understanding of maintenance and operations, along with expertise in SAP, data analytics, and IT systems. Responsibilities Manage and optimize master data, including the global Maintenance, Repair, and Operating (MRO) supplies catalog and SAP configurations. Ensure data alignment across global manufacturing sites. Lead projects involving data transfer (e.g., moving data to a tenant in case of divestiture). Analyze and improve data processes, utilizing methodologies such as data mining, statistics, visualization, optimization, and simulation. Facilitate collaboration between site maintenance, production leaders, and business end users to drive continuous improvement. Provide expertise in Operations ITOT, ensuring system effectiveness, training, troubleshooting, and targeted improvements. Align global priorities within a defined business process area to maximize value. Qualifications Bachelor s degree in Engineering, Manufacturing, or a related field. 10+ years of experience in maintenance, operations, or IT-related roles in a manufacturing environment. Strong leadership and facilitation skills to drive improvement initiatives. Skills & Technical Expertise SAP BO Data Services (BODS) SAP HANA / LSMW SAP Information Steward Mass data loads in SAP Tableau for data visualization Fluency in English and experience working in a global environment Additional Information Relocation assistance is not available for this position. Flexibility to work across international time zones may be required. Total Rewards & Benefits Competitive Salary & Bonus Equitable and market-competitive pay with performance-based incentives. Career Growth Extensive learning, mentoring, and development opportunities. Retirement & Financial Planning Savings plans, employee stock purchase programs, and financial education resources. Health & Wellbeing Robust medical, life insurance, and mental health support. Flexible Work Culture Role-based flexibility for work-life balance. Parental Leave & Family Support Paid leave for new parents and caregivers. Time Off & Volunteer Programs Paid vacation, volunteering opportunities, and Employee Resource Groups (ERGs). On-Site Fitness & Discounts Gym memberships, shopping discounts, and travel insurance (location-dependent). About Dow India Dow Chemical International Pvt. Ltd. (Dow India) is a leader in sustainable materials science. With 1,000+ employees, our manufacturing sites, innovation centers, and commercial offices drive advancements in packaging, infrastructure, automotive, and consumer care. We are Great Place to Work Certified and actively support Corporate Social Responsibility (CSR) initiatives that empower women, children, and differently-abled individuals through technology and employee volunteerism. Join Our Team & Make an Impact! At Dow, diversity is our strength, and we are committed to equal opportunities for all. If you need any accommodations during the application or interview process, please let us know. Apply now and be part of a global team shaping the future through science and innovation!