Remote Job. Australia Client Excellent Commercials Key Responsibilities: * Design, develop, and maintain data pipelines and *ETL/ELT workflows using AWS and SQL. * Optimize and manage large datasets using SQL,Delta Lake,and Apache Sparkon Databricks. * Implement data solutions using AWS services such as S3, Glue, Redshift, Lambda, and Athena. * Collaborate with analysts, data scientists, and stakeholders to understand data requirements and deliver reliable data solutions. * Build and maintain data models (star/snowflake schema) and data marts to support reporting and analytics. * Monitor data pipelines for performance, quality, and reliability using logging and alerting tools. * Automate data workflows and orchestrate jobs using Airflow,Data bricks Workflows, or AWS Step Functions * Ensure compliance with data governance, security, and privacy standards. Required Skills & Qualifications: 5 + years of hands-on experience in a Data Engineering role. * Strong command of SQLfor data transformation, analysis, and optimization. * Proven experience with Databricks including PySpark, Delta Lake, and notebooks). * Proficient in Python or Pyspark for data pipeline development. * Strong experience with AWS data ecosystem: S3, Glue, Redshift, Lambda, Athena, EMRetc. * Experience with data Modelling and schema design for analytics and reporting. * Familiarity with version control (Git)and CI/CD practices for data engineering. * Knowledge of data pipeline orchestration tools e.g., Airflow, Step Functions, Databricks Workflows).icial
Remote Job. Excellent Commercials. Key Responsibilities: * Design, develop, and maintain data pipelines and *ETL/ELT workflows using AWS and SQL. * Optimize and manage large datasets using SQL,Delta Lake,and Apache Sparkon Databricks. * Implement data solutions using AWS services such as S3, Glue, Redshift, Lambda, and Athena. * Collaborate with analysts, data scientists, and stakeholders to understand data requirements and deliver reliable data solutions. * Build and maintain data models (star/snowflake schema) and data marts to support reporting and analytics. * Monitor data pipelines for performance, quality, and reliability using logging and alerting tools. * Automate data workflows and orchestrate jobs using Airflow,Data bricks Workflows, or AWS Step Functions * Ensure compliance with data governance, security, and privacy standards. Required Skills & Qualifications: 5 + years of hands-on experience in a Data Engineering role. * Strong command of SQLfor data transformation, analysis, and optimization. * Proven experience with Databricks including PySpark, Delta Lake, and notebooks). * Proficient in Python or Pyspark for data pipeline development. * Strong experience with AWS data ecosystem: S3, Glue, Redshift, Lambda, Athena, EMRetc. * Experience with data Modelling and schema design for analytics and reporting. * Familiarity with version control (Git)and CI/CD practices for data engineering. * Knowledge of data pipeline orchestration tools e.g., Airflow, Step Functions, Databricks Workflows).
Company Description Innosential is an AI-focused organization committed to providing enterprises with cutting-edge expertise in AI and data science. We empower clients with the tools and knowledge to innovate and solve real-world problems, delivering exceptional value. Our offerings include AI Solutions, Innosential Learning, and Recognition Labs. Our team includes world-renowned AI experts with roots in Carnegie Mellon University, dedicated to next-generation AI techniques. We specialize in advanced AI and ML, Conversational AI, and Language Technologies, and our research has significant contributions to top language systems globally. Innosential Learning offers tailored training in emerging AI technologies, while Recognition Labs provides work-ready resources for enterprises. Role Description This is a full-time remote role for a Business Analyst. The Business Analyst will be responsible for gathering and analyzing business requirements, developing business processes, and performing analytical tasks. The role involves communicating effectively with stakeholders to understand their needs and translating these into actionable insights. The Business Analyst will also ensure that projects align with business goals and objectives. Qualifications Analytical Skills and Business Analysis abilities Experience in developing and optimizing Business Processes Strong Communication Skills Proficiency in identifying and documenting Business Requirements Excellent problem-solving and critical-thinking capabilities Ability to work independently and remotely Bachelor's degree in Business Administration, Information Technology, or related field
Data Scientist to join the Forecasting & Planning Research team at a top e-commerce Company in the world Job description: We seek Data Scientist to join the Forecasting & Planning Research team. The data scientists will be responsible for modeling complex problems, discovering insights and identifying opportunities through the use of statistical, machine learning, algorithmic, data mining and visualization techniques. They are also responsible for moving the models to productionenvironment and automate with appropriate drift monitoring and model improvement process. They will need to collaborate effectively with internal stakeholders and cross-functional teams to understand requirements, solve problems, create operational efficiencies, and deliver successfully against high organizational standards. The candidates should be able to apply a breadth of tools, data sources and analytical techniques to answer a wide range of high-impact business questions and present the insights in concise and effective manner. Additionally, the candidates should be an effective communicator capable of independently driving issues to resolution, communicating insights to non-technical audiences and documenting the artifacts. This is a high impact role with goals that directly impacts the bottom line of the business. Key Deliverables: · Development of accurate and reliable workforce forecasting models. · Automate training and forecasting by deploying data and model pipelines on AWS cloud infrastructure with drift monitoring with emphasis on accuracy and speed · Building Project launch impact estimates model using tools such as of analytics, time series, probability and deep learning. · Reduce MAPE (forecasting accuracy) across different risk functions. · Automate data ingestion for Project inputs from Excel to forecasting models · Improved data quality through rigorous cleaning and transformation processes and automating them. · Clear documentation of the code and artifacts. · Actionable insights derived from data analysis to support strategic decisions. · Experiment with latest forecasting algorithms & processes to optimize existing modeling infrastructure. Qualification Needed: · 5+ years of data scientist experience, preferably with Forecasting systems & Operational Research · 3+ years of data querying languages (e.g. SQL) and scripting languages (e.g. Python) experience · 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience · 3+ years of AWS cloud experience building end-to-end products deploy, monitor and update them using tools such as Amazon SageMaker pipelines and docker containers. · Experience applying theoretical models in an applied environment · Understanding of demand forecasting & impact on operational capacity planning · Knowledge of time series models and deep learning for time series are an asset.
Company Description Innosential is an AI-focused organization committed to providing enterprises with cutting-edge expertise in AI and data science. Our goal is to empower clients with innovative solutions that solve real-world problems and deliver exceptional value. Our offerings include AI Solutions, Innosential Learning, and Recognition Labs to help businesses achieve their AI goals. Our team, with roots in Carnegie Mellon University, specializes in advanced AI and ML techniques, and our researchers have made significant contributions to top global language systems. We offer unique learning experiences and democratize the adoption of emerging technologies in AI. Role Description This is a full-time remote role for a Senior Data Scientist. The Senior Data Scientist will be responsible for designing and implementing data models, analyzing large datasets, developing data visualizations, and applying statistical tools to extract meaningful insights. The role also involves working with advanced data science techniques to help drive strategic decisions and improve business outcomes. Qualifications Strong expertise in Data Science and Statistics Advanced skills in Data Analytics and Data Analysis Proficiency in Data Visualization techniques Expertise in Forescasting methods. Experience with AI and ML techniques Excellent problem-solving and analytical skills Ability to work independently and remotely Master's degree in Data Science, Statistics, or related field Experience in the AI industry is a plus
Job Description: KYC/AML Business Analyst Location: Hybrid Gurgaon[2 days a week office] Department: Compliance / Risk Management Reports To: VP – Compliance & Risk Position Overview We are looking for a highly skilled KYC/AML Business Analyst to support our compliance and risk management functions. The role will focus on ensuring adherence to Know Your Customer (KYC) , Customer Due Diligence (CDD/EDD) , and Anti-Money Laundering (AML) regulations in line with global and local banking standards. The candidate will play a critical role in bridging regulatory requirements, business operations, and technology solutions. Key ResponsibilitiesRegulatory & Compliance Analysis Interpret and translate global and domestic AML/KYC regulations (FATF, OFAC, FinCEN, RBI, SEBI, EU AML Directives) into actionable business requirements. Ensure compliance with internal AML/KYC policies, procedures, and regulatory expectations. Support periodic audits, regulatory inspections, and compliance reviews. Business Analysis & Process Management Gather, document, and validate requirements from compliance, operations, and technology teams. Map current-state vs. future-state KYC/AML processes to identify gaps and propose improvements. Assist in the implementation of CDD, EDD, transaction monitoring, and sanctions screening enhancements. System & Data Management Collaborate with IT to design and test system changes for AML/KYC platforms. Perform User Acceptance Testing (UAT) and validate regulatory reporting outputs. Analyze client and transaction data to generate compliance reports, identify anomalies, and support investigations. Stakeholder Collaboration Act as liaison between compliance, operations, and technology teams. Facilitate workshops and training sessions for frontline and operations staff. Provide timely reporting and updates to senior management on AML/KYC compliance metrics. Qualifications & Experience Bachelor’s degree in Finance, Economics, Business, or related field (Master’s preferred). 3–4 years of experience in a Corporate Bank or Financial Institution in compliance, risk, or KYC/AML analysis roles. Strong knowledge of KYC, CDD/EDD, AML monitoring, sanctions screening, and PEP reviews . Familiarity with AML/KYC tools Proficiency in Excel, SQL, and data analysis ; experience with BI tools (Tableau, Power BI) is an advantage. Preferred Skills & Certifications Strong analytical, documentation, and presentation skills. Ability to work under pressure and manage multiple priorities. Knowledge of banking products and services (Retail, Corporate, Trade Finance, Treasury, etc.) .
Job Description – Industrial Data Scientist (BOPP Film Manufacturing) Location: Pan-India / Flexible | Department: Data Science & Operations Excellence | Reports To: Head of Operations / Chief Technology Officer Role Overview We are seeking a highly skilled Industrial Data Scientist with deep expertise in BOPP film manufacturing processes and a strong background in polymer physics. This individual will work at the intersection of manufacturing, process engineering, and advanced data science, developing solutions that improve line efficiency, maximize conversion ratio, reduce waste, enhance demand forecasting, and maintain golden-run performance across plants. This is a high-impact role requiring strong domain expertise, applied machine learning skills, and the ability to translate research into deployable solutions on real production lines. Key Responsibilities Process Data Analysis: Collect, clean, and analyze data from BOPP film lines (extruders, chill rolls, MDO, TDO, corona treaters, winders, slitting lines) to identify efficiency losses, process drifts, and variability affecting throughput and quality. Predictive Modeling: Build and deploy ML models for: - Demand forecasting (client-wise, grade-wise) - Process parameter optimization (temperature, line speed, tension, draw ratio, gauge control) - Predictive maintenance of bearings, tenter chains, winder motors Physics-Based & Hybrid Modeling: Use polymer physics, film stretching dynamics, and heat transfer to create hybrid (physics+ML) models for improved accuracy and explainability. Apply DoE and Response Surface Methodology to identify golden-run operating conditions. Quality Optimization: Correlate process parameters with film properties (gauge profile, haze, COF, WVTR, OTR) and recommend recipe adjustments to reduce scrap and second-sales. Early Warning & Anomaly Detection: Design real-time systems to flag process drift, high scrap rates, or quality non-conformance before they cause major losses. Collaboration & Implementation: Work closely with plant engineers, R&D, and operations teams to translate insights into production-ready SOPs. Integrate ML outputs with SAP PPDS/MES for closed-loop scheduling and optimization. Visualization & Reporting: Build intuitive dashboards (Power BI, Tableau, Streamlit) to communicate KPIs such as OEE, conversion ratio, waste %, energy consumption, and forecast accuracy. Key RequirementsEducation Master’s or PhD in Data Science, Applied Physics, Chemical Engineering, Materials Science, or a related field. Strong background in polymer physics or film processing mechanics preferred. Technical Skills - Advanced proficiency in Python/R, scikit-learn, TensorFlow/PyTorch - Time-series forecasting (ARIMA, Prophet, LSTM) - Familiarity with SCADA/MES/IoT historian data systems and SAP PP/PPDS integration - Understanding of orientation, crystallization, heat transfer, tensile properties - DOE, multivariate regression, SPC, Six Sigma and response surface methodology - MLOps practices for model deployment Soft Skills - Problem-solving and analytical mindset - Excellent communication skills for technical and leadership presentations - Collaborative and cross-functional team leadership Preferred Experience - 4–8 years in manufacturing/industrial data science roles - Prior experience in BOPP, BOPE, PET films, or packaging industry - Track record in yield improvement, waste reduction, predictive maintenance projects - Publications, patents, or conference participation in polymer processing or AI Impact & KPIs +5–10% OEE improvement 20–40% reduction in start-up/changeover waste 15–25% reduction in energy per ton of film >95% precision in inline defect detection Improved forecast accuracy → better production planning & lower FG inventory What We Offer Opportunity to lead digital transformation in a global manufacturing setup. Work with cutting-edge machine learning and IIoT tools. Competitive salary with performance-linked incentives. Exposure to plant leadership and direct P&L impact. Platform to publish/present at industry conferences (TAPPI, AIMPLAS).
Business Analyst – Agile Delivery, AI & Process Improvement A proactive Business Analyst with a learn-and-apply mindset, experienced in driving process optimisation through short, sharp delivery cycles. Skilled in translating complex requirements into actionable solutions, especially in AI-enabled environments. Brings hands-on experience with LLM-based applications, chatbot systems, and data preparation workflows. Key Skills: 3 years of experience as Business Analyst Process improvement (Lean, Agile) AI applications (chatbots, LLMs, automation) Requirement gathering for LLM-integrated solutions Data labelling, organisation, and cleanup Agile delivery in short, iterative increments Learn-and-apply approach to new tools and domains Stakeholder engagement and MVP-focused delivery
Role Description This is a full-time role for a Director of Graduate Admissions, based in Delhi NCR, Bangalore, Mumbai, Kolkata with some work-from-home flexibility. The Director of Graduate Admissions will be responsible for managing enrollment processes, developing and implementing graduate recruitment strategies, overseeing communication with prospective students, and managing student financial aid processes. The role involves coordinating with various departments to ensure a seamless admission process and achieving enrollment targets. Qualifications Proficiency in Enrollment Management and Graduate Recruitment Strong Communication skills, both written and verbal Experience in Student Financial Aid processes Proficiency in Recruiting and building relationships with potential students Excellent organizational and management skills Ability to work independently and in a hybrid work environment Master’s degree in Education Administration, Business Administration, or a related field/ Experience in the field of higher education admissions or educational administration is a plus