Job Title: Data Scientist / Machine Learning Specialist Location: Hyderabad (Hybrid Model) Experience: 3 to 5 Years Compensation: Up to ₹30 LPA Joining: Immediate or Short Notice Preferred About the Role: We are looking for a highly skilled and motivated Machine Learning Specialist / Data Scientist with a strong foundation in data science and a deep understanding of clinical supply chain or supply chain operations. This individual will play a critical role in developing predictive models, optimizing logistics, and enabling data-driven decision-making within our clinical trial supply chain ecosystem. Key Responsibilities: Design, develop, and deploy machine learning models for demand forecasting, inventory optimization, and supply chain efficiency Analyze clinical trial and logistics data to uncover insights and enable proactive planning Collaborate with cross-functional teams including clinical operations, IT, and supply chain to integrate ML solutions into workflows Build interactive dashboards and tools for real-time analytics and scenario modeling Ensure models are scalable, maintainable, and compliant with regulatory frameworks (e.g., GxP, 21 CFR Part 11) Stay up to date with the latest advancements in ML/AI and bring innovative solutions to complex clinical supply challenges Required Qualifications: Master’s or Ph.D. in Computer Science, Data Science, Engineering, or a related field 3–5 years of hands-on experience in machine learning, data science, or AI (preferably in healthcare or life sciences) Proven experience with clinical or supply chain operations such as demand forecasting, IRT systems, and logistics planning Proficiency in Python, R, SQL, and ML frameworks like scikit-learn, TensorFlow, or PyTorch Solid knowledge of statistical modeling, time series forecasting, and optimization techniques Strong analytical mindset and excellent communication skills Ability to thrive in a fast-paced, cross-functional environment Preferred Qualifications: Experience working with clinical trial systems and data (e.g., EDC, CTMS, IRT) Understanding of regulatory requirements in clinical research Familiarity with cloud platforms such as AWS, Azure, or GCP Exposure to MLOps practices for model deployment and monitoring
Role Description This is a full-time hybrid role for an Information Technology Recruiter at Workforce Next. The IT Recruiter will be responsible for full-life cycle recruiting, IT recruitment, hiring, technical recruiting, and general recruiting tasks. The role is located in Bengaluru with the option for some remote work. Qualifications Full-life Cycle Recruiting, Technical Recruiting, and Hiring skills IT Recruitment skills Experience in recruiting for technical roles Excellent communication and interpersonal skills Ability to work in a fast-paced environment Bachelor's degree in Human Resources, Business Administration, or related field
This is a full-time role for an iOS Developer at Workforce Next located in Noida. As an iOS Developer, you will be responsible for mobile application development, iOS development, and software development. You should have at least 1+ year of experience in developing apps using Swift or hybrid app. Your qualifications should include Mobile Application Development and Software Development skills, iOS Development and Mobile Applications skills, experience in iOS app development, proficiency in Swift programming language, knowledge of mobile app design principles, and the ability to work both independently and in a team environment. A Bachelor's degree in Computer Science or related field is required.,
Job Title: Sr. Power BI Developer Location: Hybrid Hyderabad Engagement: Contract Domain: Enterprise Data & Analytics Platform Modernization Budget: 1.5 LPM 2 LPM (including TDS) About the Role We are seeking a Senior Power BI Developer to design, build, and scale a unified enterprise analytics ecosystem leveraging Power BI as a strategic platform. The ideal candidate will architect and operationalize a governed, high-performance BI environment spanning semantic modeling, CI/CD pipelines, security, automation, and AI-powered insights. This role is central to our Enterprise Data & Analytics Modernization Initiative, driving the establishment of Power BI as the single source of truth across business domains through enterprise dataflows, reusable semantic models, and automated deployment pipelines. Key Responsibilities: 1. Platform Architecture & Governance: Architect and implement Power BI workspace and app structures ensuring secure, scalable, and organized content management across Dev, Test, and Production environments. Define governance frameworks for dataset certification, role-based access, and lifecycle management. Develop shared semantic models and datasets to promote reusability and consistency. Integrate Power BI with enterprise data gateways (on-prem, VNet, and cloud) ensuring encrypted, audit-ready connectivity. 2. Deployment Pipelines & CI/CD: Design and manage Power BI Deployment Pipelines for automated content promotion (Dev Test Prod). Configure parameterized data connections for seamless environment transitions. Implement validation workflows and approval gates for governed releases and data accuracy assurance. 3. Data Modeling & Performance Engineering: Lead data model design for Import, DirectQuery, Composite, and Live Connection modes. Optimize performance using query folding, partitioning, and computation pushdown techniques. Establish DAX modeling standards, calculation groups, and reusable measures for enterprise-grade analytics. 4. Security & Compliance: Implement and manage Row-Level Security (RLS) and Object-Level Security (OLS). Collaborate with IT Security to enforce encryption, tenant-level governance, and activity monitoring. Maintain data lineage, metadata tagging, and ensure compliance with regulatory standards (GDPR, SOX, etc.). 5. Automation & Integration: Integrate Power BI with Power Apps, Power Automate, and Azure Data Factory to enable analytics-to-action workflows. Implement and manage dataflows for reusable, self-service data preparation. Automate report scheduling, delivery, and monitoring for production reliability. 6. AI & Copilot Enablement: Leverage Power BI Copilot and natural-language Q&A features for self-service analytics. Enable AI-assisted visualizations, auto-report generation, and semantic search capabilities. 7. Stakeholder Leadership: Partner with business units, data engineering, and governance teams to align data and reporting strategies. Mentor Power BI developers and analysts on advanced DAX, modeling, and performance tuning. Define KPIs to measure adoption, data trust, and platform performance. Required Skills & Experience: 8+ years of experience in BI/Analytics with 4+ years focused on Power BI and enterprise deployment. Proven expertise in: Power BI Service, Desktop, and Premium capacities Dataflows, Gateways (Enterprise/VNet/Personal), and workspace governance Semantic modeling (Import, DirectQuery, Composite, Live) DAX, performance tuning, query folding, and storage mode optimization CI/CD via Deployment Pipelines and parameterized environments RLS, OLS, and tenant-level governance and security configuration Integration with Azure ecosystem and Power Platform (Power Apps, Automate) Strong data visualization design, accessibility, and storytelling skills. Working knowledge of Power BI AI features (Copilot, Q&A, auto-insights). Familiarity with Snowflake, Synapse, Databricks, or other modern data warehouses is a plus. Preferred Qualifications: Microsoft Certified: Power BI Data Analyst Associate. Experience leading BI modernization or Single Source of Truth (SSOT) initiatives. Background in data governance, MDM, or metadata management (Atlan, Collibra, CDGC, etc.)
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