3930 R Jobs - Page 22

Greetings from Cintal Technologies Pvt Ltd! We are currently seeking an experienced Cost & Spend Analytics Specialist (Should Costing) to join our team in Chennai for an office-based role. As a Cost & Spend Analytics Specialist, your primary responsibilities will include performing spend analysis across suppliers, categories, and plants in order to identify potential savings opportunities. You will also be responsible for executing outlier analysis to detect anomalies in pricing, usage, or supplier performance. This includes identifying unit price outliers, quantity-based outliers, and supplier cost outliers. Additionally, you will be conducting should-cost analysis to estimate ideal pricing based on material, labor, and overhead benchmarks. To excel in this role, you must be proficient in various analytical tools including Microsoft Excel or Google Sheets for advanced formulas, pivot tables, Power Query, and VBA. Experience with data visualization and reporting tools such as Power BI or Tableau is also essential. Furthermore, proficiency in SQL for querying ERP and procurement databases, as well as experience with Python or R for advanced analytics and automation, is required. Knowledge of manufacturing and ERP systems such as SAP, Oracle, Infor, or other similar platforms is crucial for this role. Familiarity with BOM (Bill of Materials), routing, cost roll-up, LPP, and TCO components will be advantageous. If you are a dynamic professional with a strong background in cost and spend analytics, we invite you to join our team at Cintal Technologies Pvt Ltd. Regards, Cintal Technologies Pvt Ltd,

The role of Vice President, Financial Crime at HSBC entails overseeing the Transaction Monitoring (TM) framework and related processes in the Risk & Compliance business. You will play a crucial role in preparing submissions for various governance forums, such as TMOB and MENAT FC ManCo, ensuring high-quality and timely delivery of TM-related papers. Additionally, you will be responsible for implementing the Global TM Strategy within the region, reviewing TM issues across different Lines of Business (LoBs) and countries, and collaborating with audit and assurance functions to address them effectively. As the ideal candidate for this position, you should possess a minimum of 8 to 10 years of experience in Anti-Money Laundering (AML) / Transaction Monitoring (TM) and Sanctions, preferably within HSBC or similar financial institutions. Your duties will involve providing subject matter expertise on AML risks associated with TM, supporting data governance initiatives, and ensuring the effectiveness of TM control frameworks to mitigate financial crime risks effectively. Furthermore, you will be expected to drive the TM Risk Assessment process in collaboration with LoBs, offer strategic and operational recommendations to enhance TM monitoring controls, and demonstrate proficiency in managing stakeholders and regional teams involved in AML / TM processes. Experience in FCC projects on a global scale, familiarity with advanced data analytics tools such as Python, R, Qlik, and knowledge of Machine Learning and AI concepts will be advantageous for this role. Your logical thinking, problem-solving abilities, and analytical mindset will be crucial in making informed decisions to strengthen TM capabilities and align them with AML objectives. Strong communication skills, both verbal and written, along with the ability to maintain a collaborative working environment with stakeholders and senior leadership, are essential for success in this position. Join HSBC and leverage your expertise to contribute towards combating financial crime effectively while supporting the organization's mission to enable businesses to thrive and individuals to achieve their aspirations.,

You will be joining Teacurry Teas as a Data Scientist in Ghaziabad on a full-time basis. Your role will involve analyzing and interpreting complex data sets, developing statistical models, and leveraging data analytics to drive strategic business decisions. On a daily basis, you will be responsible for tasks like data collection, processing, visualization, and providing valuable insights to enhance operational efficiency and product quality. To excel in this position, you should possess proficiency in Data Science and Statistics, along with hands-on experience in Data Analytics, Data Visualization, and Data Analysis. Strong analytical and problem-solving skills are essential, along with a good command of programming languages such as Python or R. Effective written and verbal communication skills are crucial for this role, as you will be collaborating with various teams. Prior experience in the tea or food industry would be advantageous. Ideally, you should hold a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field. Working effectively in a team environment and being able to apply your expertise to contribute to the organization's success are key aspects of this role. Join Teacurry Teas to be a part of a team dedicated to providing high-quality teas that offer both comfort and health benefits.,

The role involves providing academic leadership in the field of Economics through high-quality teaching, research, and service. You will contribute to curriculum development, mentor students and junior faculty, and engage in impactful research to support institutional and societal development. Key Responsibilities: Teaching & Learning: - Deliver undergraduate and postgraduate courses in Economics. - Design and update curriculum in alignment with academic and industry trends. - Use innovative teaching methodologies and tools to ensure effective learning. - Supervise dissertations, projects, and theses at undergraduate, postgraduate, and doctoral levels. - Conduct lectures, tutorials, seminars, and workshops. Research & Publication: - Undertake original research in Economics and publish in peer-reviewed journals. - Present research at national and international conferences. - Lead research projects and secure external funding. - Collaborate with industry and academic institutions for joint research. Academic Leadership: - Mentor and support the professional development of junior faculty. - Participate in faculty recruitment, training, and evaluation. - Contribute to strategic planning and departmental development. - Guide and lead academic committees and task forces. Student Mentorship & Development: - Provide academic guidance and mentorship to students. - Support students in career planning and higher education pursuits. - Facilitate student-led research and economics-based projects or clubs. Institutional Contribution: - Participate in accreditation, curriculum design, and policy formulation. - Engage in outreach, consultancy, and community-based economics programs. - Represent the department/university in academic and professional forums. Educational Qualifications: - Ph.D. in Economics from a recognized university. - M.A./M.Sc. in Economics with high academic standing. - UGC-NET qualification (if applicable under national norms). Experience: - Minimum 10 years of teaching/research experience in a reputed academic institution. - Proven record of published research in reputed national/international journals. - Experience in supervising Ph.D. scholars and guiding research teams. Functional Competencies: - Expertise in microeconomics, macroeconomics, econometrics, or development economics. - Strong research skills and data analysis proficiency. - Familiarity with statistical tools like STATA, R, SPSS, or EViews. - Ability to design interdisciplinary and application-oriented curriculum. Behavioural Competencies: - Academic integrity and professional ethics. - Leadership and team management abilities. - Strong communication and interpersonal skills. - Student-centric approach and mentoring capability. - Adaptability and openness to innovation in pedagogy.,

Position Overview We are seeking a highly skilled People Analytics candidate to join our team. In this role, you will serve as a strategic advisor, leveraging data-driven insights to inform talent strategies, improve organizational effectiveness, and enhance employee experiences. This position requires strong analytical capabilities, consulting expertise, and proficiency in HR data systems to deliver actionable recommendations that align with business goals. The consultant will partner with various stakeholders, including HR leaders and business stakeholders, to deliver data-driven insights that enhance organizational effectiveness and improve the employee experience. Responsibilities Data Analysis and Insights Generation Analyze HR data to uncover trends related to organizational health, hiring, retention, internal mobility, diversity & inclusion, workforce planning, and employee experience. Develop predictive models and dashboards to forecast workforce trends and optimize talent strategies. Analyze recruitment effectiveness, hiring processes, workforce planning, and talent pipelines. Strategic Consulting Partner with HR leaders and business stakeholders to understand challenges and provide tailored analytics solutions. Deliver actionable recommendations through compelling storytelling and visualizations for executive-level decision-making. Develop and present data-driven recommendations to stakeholders. Collaborate with Talent Acquisition and HR teams to provide analytics support. Project Leadership Lead complex cross-functional analytics projects from hypothesis development to insight delivery. Collaborate with IT, HR Operations, and external vendors to improve data collection processes and ensure data quality. Ensure data quality and enhance reporting processes. Product Development Drive adoption of analytics tools by gathering stakeholder feedback and informing future enhancements. Design user-friendly dashboards and reports using platforms like Workday, Power BI, Tableau, or Visier. Utilize tools like Oracle and Power BI for data extraction and visualization. Training and Enablement Provide training and guidance to HR teams on the use of analytics tools and interpretation of insights. Foster a culture of data-driven decision-making across the organization. Qualifications Required Bachelors degree in Business Analytics, Statistics, Human Resources, or a related field. 4+ years of experience in people analytics or consulting roles. Proficiency in data analysis tools (e.g., Python/R), visualization platforms (e.g., Tableau, Power BI) and proficiency in SQL for querying databases Strong interpersonal skills for collaboration with cross-functional teams. Strong understanding of HR data and employee lifecycle processes. Also has familiarity with HRIS systems (e.g., Oracle Fusion) Familiarity with statistical techniques like correlation and regression analysis. Proven track record of delivering executive-level presentations and influencing senior leadership decisions Profile of the Ideal Candidate Data-driven with a consultative approach. Excellent communicator with strong data storytelling skills. Ability to influence executive stakeholders. Proven track record of supplying people related insights and scaling up reporting solutions across the org.

Key Responsibilities: Responsibilities Anchor ML development track in a client project Data collection profiling EDA data preparation AI Model development experimentation tuning validation Present findings to business users project management teams Propose ML based solution approaches estimates for new use cases Contribute to AI based modules in Infosys solutions development Explore new advances in AI continuously and execute PoCs Mentoring Guide junior team members evangelize AI in organization Technical skills Programming Python R SQL ML algorithms o Statistical ML algorithms o Deep Neural Network architectures o Model ensembling o Generative AI models o ML for Responsible AI AI domains NLP speech computer vision structured data Learning patterns supervised unsupervised reinforcement learning Tools for data analysis auto ML model deployment scaling model fine tuning Knowledge of different Model fine tuning approaches for Large models Knowledge of datasets pre built models available in open community and 3rd party providers Knowledge of software development architectures Knowledge of hyperscalers their AI capabilities Azure AWS GCP Knowledge of Model Quantization and Pruning Preferred Skills: Technology->Machine learning->data science,Technology->Data Science->Machine Learning,Technology->Machine Learning->Accord,Technology->Machine Learning->Generative AI

This job might be for you if You enjoy solving problems. You love taking on difficult challenges and finding creative solutions. You dont know the answer but will dig until you find it. You communicate clearly. You write well. You are motivated and driven. You volunteer for new challenges without waiting to be asked. You will take ownership of the time you spend with us and make a difference. You can impress our customers with your enthusiasm to solve their issues (and solve them!) Job Description As an AI/ML Engineer at Eximietas, you will be responsible for designing, implementing and managing strategic consulting projects that leverage Machine Learning, Deep Learning including Generative AI algorithms. You will work closely with clients to understand their business processes and requirements, conduct proof of concepts (POCs) and convert POCs to long term strategic engagements to deliver cutting-edge AI/ML solutions that drives business value. Responsibilities Collaborate with clients to understand their business processes, goals, and requirements. Design and implement AI/ML solutions using state-of-the-art techniques and methodologies. Conduct proof of concepts (POCs) and pilots to validate the feasibility and effectiveness of AI/ML solutions. Work with cross-functional teams to map AI/ML solutions to client business processes. Perform data analysis, data preprocessing, and feature engineering as needed. Conduct hypothesis testing, feature extraction, feature selection, cross-validation. Develop and deploy machine learning models in a production environment. Apply Natural Language Processing (NLP) techniques such as topic modelling, entity extraction, summarization and sentiment analysis to relevant projects OR Design and implement projects that are tailored to Computer Vision tasks, such as Image Classification, Object detection, Image segmentation. Communicate findings and insights effectively to both technical and non-technical stakeholders. Ensure project deliverables meet high-quality standards and are completed on time and within budget. Qualifications Bachelors or masters degree in computer science, Machine Learning, Data Science or a related field. At least 5 to 8 years of hands-on experience in designing and delivering AI/ML solutions. Good understanding of concepts involving Probability, Statistics, Linear Algebra, Programming and basics of Machine Learning Strong expertise in NLP tasks, including and not limited to Topic modelling, Entity Extraction, Summarization and Sentiment analysis OR Proficiency in Computer Vision tasks including and not limited to Object detection, Image segmentation, Image classification. Experience working within a cloud solutions environment such as AWS, Azure or Google Cloud. Familiarity with Cloud AI services and tools is a plus. Proficiency in programming languages such as Python or R. Familiarity with popular AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Familiarity with MLOps is a plus Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment. Strong communication and presentation skills.

Overview: TekWissen is a global workforce management provider throughout India and many other countries in the world. The below job opportunity is one of Our clients which is a leading Digital solution company for Business IT solutions. Position: Sr. Software Engineer - AWS Data Location: Bangalore Duration: Full Time Work Type: Onsite Job Description: Primary Responsibilities Responsible for designing, developing, testing and supporting data pipelines and applications Industrialize data feeds Experience in working with cloud environments AWS Creates data pipelines into existing systems Experience with enforcing security controls and best practices to protect sensitive data within AWS data pipelines, including encryption, access controls, and auditing mechanisms. Improves data cleansing and facilitates connectivity of data and applied technologies between both external and internal data sources. Establishes a continuous quality improvement process and to systematically optimizes data quality Translates data requirements from data users to ingestion activities B.Tech/ B.Sc./M.Sc. in Computer Science or related field and 3+ years of relevant industry experience Interest in solving challenging technical problems Nice to have test driven development and CI/CD workflows Knowledge of version control software such as Git and experience in working with major hosting services (e. g. Azure DevOps, Github, Bitbucket, Gitlab) Nice to have in working with cloud environments such as AWSe especially creating serverless architectures and using infrastructure as code facilities such as CloudFormation/CDK, Terraform, ARM. Hands-on experience in working with various frontend and backend languages (e.g., Python, R, Java, Scala, C/C++, Rust, Typescript, ...) Technical Skills Required 8+ years of experience in C# and .NET Core / .NET 6+ ,Graph QL Deep expertise in Entity Framework / EF Core (Code First / Database First approaches, Migrations, LINQ, and Query Optimization) Strong knowledge of SQL Server (stored procedures, indexing, query tuning) Experience in building and consuming RESTful APIs Familiarity with Azure PaaS services (App Services, Azure SQL, Key Vault, Azure Functions) is a plus Knowledge of design patterns, SOLID principles, and clean code practices Experience with unit testing frameworks like MSTest, xUnit, or NUnit Proficient in Git / Azure DevOps for source control and release management TekWissen Group is an equal opportunity employer supporting workforce diversity.

This role will lead the design, development, and deployment of data-driven HR strategies and dashboards to support business objectives. The role focuses on leveraging workforce data and predictive insights to influence HR and business decision-making in areas like talent acquisition, retention, productivity, and organizational health. This role is critical for enabling data-backed people strategies in a fast-growing environment at Clix Capital. Key Responsibilities: 1. Workforce Analytics & Reporting Develop and maintain dashboards and reports on key HR metrics (attrition, time-to-hire, diversity, headcount, etc.) Track and analyze HR KPIs across business units and geographies. Create executive-level presentations with actionable insights. 2. Predictive & Advanced Analytics Use statistical modeling and machine learning (where applicable) to predict attrition, hiring success, employee engagement, etc. Build models to optimize workforce planning and succession strategies. 3. Strategic Decision Support Partner with Talent Acquisition, L&D, Compensation, and Business HR teams to drive analytics for better decision-making. Contribute to workforce cost analysis, compensation benchmarking, and ROI on learning interventions. 4. Data Management & Governance Ensure data accuracy, compliance, and integrity across HR systems. Collaborate with HR tech/IT teams to improve data capture and system integration. 5. Stakeholder Management Work with senior leadership and business heads to understand data needs and translate them into insights. Qualifications: Postgraduate degree in HR, Business Analytics, Statistics, or related fields. 8 to 12 years of experience in HR analytics, preferably within BFSI or NBFC. Proven experience with HR systems (SAP SuccessFactors, Workday, etc.) and data visualization tools (Power BI, Tableau). Strong proficiency in Excel, SQL, and at least one analytics language (Python/R preferred). Exceptional communication and stakeholder management skills. Success Indicators: Accuracy and timeliness of HR dashboards and analytics Business impact of data-driven HR interventions Improved employee retention and productivity metrics Enhanced data literacy across HR functions

InSync Analytics (India) Private Limited is looking for Data Scientists to join our dynamic team and embark on a rewarding career journey Undertaking data collection, preprocessing and analysis Building models to address business problems Presenting information using data visualization techniques 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

KPMG India is looking for Assistant Manager - Data Science Assistant Manager - Data Science to join our dynamic team and embark on a rewarding career journey Ensuring company policies are followed. Optimizing profits by controlling costs. Hiring, training and developing new employees. Resolving customer issues to their overall satisfaction. Maintaining an overall management style that follows company best practices. Providing leadership and direction to all employees. Ensuring product quality and availability. Preparing and presenting employee reviews. Working closely with the store manager to lead staff. Overseeing retail inventory. Assisting customers whenever necessary. Organizing employee schedule. Ensuring that health, safety, and security rules are followed. Ensuring a consistent standard of customer service. Motivating employees and ensuring a focus on the mission. Maintaining merchandise and a visual plan. Maintaining stores to standards, including stocking and cleaning. Completing tasks assigned by the general manager accurately and efficiently. Supporting store manager as needed.

newmark is looking for Analyst 2 - Capital Market to join our dynamic team and embark on a rewarding career journeyCollect, analyze, and interpret data from various sources to support business decisions and strategy development.Prepare detailed reports, dashboards, and visualizations that highlight trends, patterns, and actionable insights.Collaborate with cross-functional teams to understand data requirements and deliver accurate analytical solutions.Use statistical methods and data modeling techniques to solve business problems and improve processes.Validate data integrity and ensure accuracy in all analyses and reports.Monitor key performance indicators (KPIs) and provide regular updates to management with recommendations.

Envirocoats is looking for R&D Chemist (Powder Coatings) to join our dynamic team and embark on a rewarding career journeyDispense prescription medications and other health-related products to customers.Maintain accurate and complete records of customer transactions and medications dispensed.Ensure that medications are stored and dispensed in compliance with all applicable laws and regulations.Excellent customer service skills.Good organizational and communication skills.

We are looking for a skilled Senior Analyst to join our team at eClerx Services Ltd., with 7-10 years of experience in the IT Services & Consulting industry. Roles and Responsibility Collaborate with cross-functional teams to analyze complex data sets and provide actionable insights. Develop and implement process improvements to increase efficiency and productivity. Conduct thorough analysis of market trends and competitor activity to identify opportunities for growth. Provide expert guidance on analytical tools and methodologies to junior team members. Develop and maintain databases and data systems to support business intelligence initiatives. Communicate findings and recommendations to senior management through clear and concise reports. Job Requirements Strong understanding of analytical principles and practices, including statistical modeling and machine learning. Experience with large datasets and advanced analytics tools such as SAS or R. Excellent communication and problem-solving skills, with the ability to work effectively in a team environment. Ability to prioritize multiple projects and meet deadlines in a fast-paced environment. Strong attention to detail and ability to interpret complex data sets. Experience working with IT Services & Consulting firms is preferred.

We are looking for a skilled Senior Analyst to join our team at eClerx Services Ltd., with 7-10 years of experience in the IT Services & Consulting industry. Roles and Responsibility Collaborate with cross-functional teams to analyze complex data sets and provide actionable insights. Develop and implement process improvements to increase efficiency and productivity. Conduct thorough analysis of market trends and competitor activity to identify opportunities for growth. Provide expert guidance on analytical tools and methodologies to junior team members. Develop and maintain databases and data systems to support business intelligence initiatives. Communicate findings and recommendations to senior management through clear and concise reports. Job Requirements Strong understanding of analytical principles and practices, including statistical modeling and machine learning. Experience with large datasets and advanced analytics tools such as SAS or R. Excellent communication and problem-solving skills, with the ability to work effectively in a team environment. Ability to prioritize multiple tasks and deadlines in a fast-paced environment. Strong attention to detail and organizational skills, with the ability to maintain accurate records and reports. Bachelor's degree in any discipline; advanced degree preferred.

The ideal candidate must possess strong communication skills, with an ability to listen, comprehend information, and share it with all the key stakeholders, highlighting opportunities for improvement and concerns, if any. He/she must be able to work collaboratively with teams to execute tasks within defined timeframes while maintaining high-quality standards and superior service levels. The ability to take proactive actions and willingness to take up responsibility beyond the assigned work area is a plus. Business Intelligence Specialist with 8 years of progressive experience in driving marketing & campaign performance analytics. Adept at developing and managing BI dashboards, automating reporting frameworks and delivering actionable insights to optimize campaign ROI, engagement and conversions. Senior Analyst Roles and responsibilities: Dashboarding & ReportingBuilt and maintained real-time dashboards and automated performance reports using Tableau / Power BI & SQL to ensure timely insights delivery. Performance Analytics & Insights Generation:Conducted funnel analysis, customer behavior modeling and trend identification to generate insights that enhanced marketing strategies. Cross-functional CollaborationWorked with marketing, product and data teams to align on KPIs and translate business needs into analytical solutions and presentations. Technical and Functional Skills: BI ToolsTableau / Power BI, LookerLanguagesSQL (Postgre SQL, MySQL), Python (Pandas, Matplotlib) / RData PlatformsGoogle BigQuery/ Snowflake / AWS RedshiftMarketing ToolsGoogle Analytics / Adobe Analytics / Salesforce Marketing Cloud / Adobe Analytics

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates and supervisors. Process Manager Role and responsibilities: We are looking for a highly analytical and strategic Analytics Consultant/Insights Consultant who thrives in a hands-on role, working directly with data to extract insights that drive meaningful business decisions. This role requires someone who can go beyond standard reporting to deeply analyze data, identify trends, and provide clear, actionable recommendations that improve key performance indicators (KPIs). 1. Hands-On Data Analysis & Insights Generation Perform in-depth, hands-on analysis of business data to uncover trends, opportunities, and risks affecting KPIs such as conversion rates, sales, customer retention, and operational efficiency. Independently query, extract, and manipulate large datasets using SQL to answer complex business questions. Use statistical techniques and advanced analytics methods (e.g., predictive modeling, segmentation) to support strategic decision-making. 2. Business-Driven Recommendations & Impactful Storytelling Translate raw data into actionable insights and develop clear, compelling recommendations for business teams. Drive measurable improvements in business performance by identifying optimization opportunities across marketing, operations, sales, and product functions. Excellent communication is non-negotiableyou must be able to simplify complex data, build strong narratives, and effectively present insights to non-technical stakeholders and senior executives. 3. Data Visualization & Reporting Design, develop, and automate scalable reports and dashboards using Power BI to track and communicate business performance. Ensure data accuracy, consistency, and clarity in reports to empower teams to make informed decisions. Provide real-time insights and deep dives to address business challenges proactively. 4. KPI Management & Performance Optimization Collaborate with business teams to define, refine, and monitor key business KPIs. Actively track performance metrics, diagnose variances, and suggest corrective actions. Continuously optimize analytics processes to enhance efficiency and accuracy. 5. Cross-Functional Business Partnership Serve as a trusted analytics partner across marketing, operations, sales, and product teams. Work closely with stakeholders to understand business needs, translate data into actionable strategies, and influence decision-making. Effectively communicate technical findings in a clear and compelling way to both technical and non-technical audiences. 6. Process Improvement & Best Practices Identify opportunities to improve data workflows, analytics processes, and reporting efficiencies. Advocate for a data-driven culture by proactively sharing insights and best practices across teams. Technical and Functional Skills: EducationBachelors degree in Analytics, Data Science, Business, Statistics, or a related field. Advanced degrees are a plus. Experience12+ years in analytics, business intelligence, or insights roles, preferably in retail or eCommerce. Advanced proficiency in SQL for querying and analyzing large datasets. Strong experience in Python & Excel. Preferable to work onCRM data. Hands-on experience in creating dashboards and reports using Power BI or similar visualization tools. Excellent verbal and written communication skills with the ability to translate data insights into clear, actionable recommendations. Proven ability to present insights and recommendations to diverse audiences, including senior executives. Familiarity with analytics tools such as R, or Tableau, Adobe Analytics, Google Analytics is good to have Experience in eCommerce metrics, such as website traffic, customer journey analysis, or digital marketing performance. Knowledge of advanced analytics techniques like predictive modeling or segmentation. Demonstrated ability to independently lead analytics projects from ideation to execution. Strong business acumen and a deep understanding of how analytics can drive organizational value. Exceptional problem-solving and critical-thinking abilities. A proactive and collaborative mindset, with a focus on continuous improvement.

Role & responsibilities The role of Auditor involves: Review and assess the model governance, development, validation, documentation, and implementation to evaluate the effectiveness of the scoring, economic capital, rating and other models using statistical, machine learning techniques. Automate audit testing by utilizing a variety of modeling, data analysis, and programming tools. Identifies anomalies, trends, and risks by analyzing large, complex data sets. Ability to evaluate models across multiple functional domains, such as wholesale, retail, fraud, etc. Proficiency with Python/R, SQL Server, SAS, Excel, JIRA, Bitbucket. Opportunity to contribute to one or more areas of audit covering risk function like audit of Credit Risk, Market Risk, Operational Risk, Pillar II, ICAAP, ERM, Fraud Risk as per RBI guidelines. Key Responsibilities Review and assess the model governance, development, validation, documentation, and implementation to evaluate the effectiveness of the scoring, economic capital, and rating models using statistical, machine learning techniques. Drafting of detailed audit reports with assessment details, preparation of supporting workpapers, clearly documenting the observations noted with implications and recommending corrective actions to auditee. Preferred candidate profile A master's degree in Statistics, Mathematics, or related fields. 7 - 12 years of experience in the financial services industry, preferably with model development, validation, model risk audit, data analytics. Understanding of Risk Management processes like Market, Credit , Operational, ALM, Capital adequacy, Fraud is good to have but not essential. Demonstrate good understanding of model risk function. Knowledge of various modelling techniques used in the banking industry. Experienced with various programming languages used in risk modelling. Drafting of detailed audit reports with assessment details, preparation of supporting workpapers, clearly documenting the observations noted with implications and recommending corrective actions to auditee. Coordinating and supporting the Banks compliance team during RBI Audits and other external audits. Good communication (both verbal & written) and inter-personal skills. Ability to work as a part of team and contribute towards team goals.

Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytms mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. Job Summary: We are seeking an experienced and highly analytical professional to join our Internal Audit team. This role is critical in providing independent assurance, enhancing the control environment, and leveraging data analytics to identify anomalies, control gaps, and potential fraud risks. The ideal candidate will have a strong background in internal audit, forensic investigations, and data analytics with extensive exposure to fintech or large service-based organizations. Key Responsibilities: ‚ Lead and execute risk-based internal audits, including operational, financial, and compliance reviews. ‚ Design and implement data analytics frameworks and continuous auditing techniques to enhance audit efficiency and coverage. ‚ Conduct forensic reviews and investigations into suspected fraud, misconduct, or control failures. ‚ Collaborate with cross-functional teams to understand key business processes and identify risks and controls. ‚ Develop automated dashboards and data-driven tools to monitor key risk indicators and red flags. ‚ Report audit findings to senior management and stakeholders with actionable recommendations. ‚ Oversee documentation of working papers, audit procedures, and evidence in line with professional standards. ‚ Mentor junior audit staff and build analytics capability within the team. ‚ Liaise with external auditors, regulators (as needed) on investigations or audits. ‚ Monitor regulatory and industry developments to ensure audit approaches are up to date. Required Qualifications ; Skills: ‚ Chartered Accountant (CA), Certified Internal Auditor (CIA), or Certified Fraud Examiner (CFE) preferred. ‚ 2"“10 years of relevant experience in internal audit, forensic investigations, or risk advisory in a fintech, BFSI, or large service industry setup. ‚ Strong command of data analytics tools (e.g., SQL, ACL, IDEA, Power BI, Python, R). ‚ Proficient in audit management systems and GRC platforms. ‚ Exceptional analytical, investigative, and report-writing skills. ‚ High ethical standards, sound judgment, and the ability to handle confidential information with discretion. ‚ Excellent communication and stakeholder management abilities. Preferred Attributes: ‚ Exposure to digital lending, payments, or financial services platforms. ‚ Experience in automating audit processes and developing audit analytics strategy. ‚ Managing multiple project and execution at a very faster speed. ‚ Go to person for any audit / review SME skills ‚ Hustler and managing end to end projects with minimal handholding.

Educational Requirements Bachelor of Engineering Service Line Enterprise Package Application Services Responsibilities A day in the life of an Infoscion As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs You will create requirement specifications from the business needs, define the to-be-processes and detailed functional designs based on requirements. You will support configuring solution requirements on the products; understand if any issues, diagnose the root-cause of such issues, seek clarifications, and then identify and shortlist solution alternatives You will also contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! Preferred Skills: Technology-BPMI - IBM-IBM Integration Bus (IIB)

Educational Requirements Bachelor of Engineering Service Line Enterprise Package Application Services Responsibilities A day in the life of an Infoscion As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs You will create requirement specifications from the business needs, define the to-be-processes and detailed functional designs based on requirements. You will support configuring solution requirements on the products; understand if any issues, diagnose the root-cause of such issues, seek clarifications, and then identify and shortlist solution alternatives You will also contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! Preferred Skills: Technology-SAP Technical-SAP Process Integration/ SAP PI

Educational Requirements MCA,Bachelor of Engineering,BCA Service Line Data & Analytics Unit Responsibilities Understand the requirements from the business and translate it into an appropriate technical requirements. Creating a detailed business analysis, outlining problems, opportunities and solutions for a business. Perform activities related to data wrangling, model building and model deployment. Stay current with the latest research and technology and communicate your knowledge throughout the enterprise. Lead initiatives to improve the team morale, camaraderie, and collaboration Technical and Professional Requirements: Generative AI, AI/ML, Python, Databricks Preferred Skills: Technology-Machine Learning-Generative AI

Educational Requirements Bachelor of Engineering Service Line Enterprise Package Application Services Responsibilities A day in the life of an Infoscion As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs You will create requirement specifications from the business needs, define the to-be-processes and detailed functional designs based on requirements. You will support configuring solution requirements on the products; understand if any issues, diagnose the root-cause of such issues, seek clarifications, and then identify and shortlist solution alternatives You will also contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! Additional Responsibilities: Ability to work with clients to identify business challenges and contribute to client deliverables by refining, analyzing, and structuring relevant data Awareness of latest technologies and trends Logical thinking and problem solving skills along with an ability to collaborate Ability to assess the current processes, identify improvement areas and suggest the technology solutions One or two industry domain knowledge Technical and Professional Requirements: Primary skills:Technology-XML-SOAP UI Preferred Skills: Technology-XML-SOAP UI

Educational Requirements MCA,MSc,Bachelor of Engineering,BBA,BSc Service Line Data & Analytics Unit Responsibilities Understand the requirements from the business and translate it into an appropriate technical requirement. Responsible for successful delivery of MLOps solutions and services in client consulting environments; Define key business problems to be solved; formulate high level solution approaches and identify data to solve those problems, develop, analyze/draw conclusions and present to client. Assist clients with operationalization metrics to track performance of ML Models Help team with ML Pipelines from creation to execution Guide team to debug on issues with pipeline failures Understand and take requirements on Operationalization of ML Models from Data Scientist Engage with Business / Stakeholders with status update on progress of development and issue fix Setup Standards related to Coding, Pipelines and Documentation Research on new topics, services and enhancements in Cloud Technologies Technical and Professional Requirements: Educational Requirements (any of the following): Bachelor of Engineering/Bachelor of Technology in any stream with consistent academic track record. Bachelor's degree in a quantitative discipline (e.g., Operation Research, Statistics, Mathematics) or significant relevant coursework with consistent academic track record.Additional Academic Qualification (good to have): Masters in any area related to Science, Operation Research, Mathematics and Statistics with consistent academic track record. PhD in any stream. Preferred Skills: Technology-Analytics - Functional-Business Analyst

Educational Requirements Master Of Comp. Applications,Master Of Science,Master Of Technology,Bachelor Of Computer Science,Bachelor of Engineering,Bachelor Of Technology Service Line Engineering Services Responsibilities A day in the life of an Infoscion As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs You will create requirement specifications from the business needs, define the to-be-processes and detailed functional designs based on requirements. You will support configuring solution requirements on the products; understand if any issues, diagnose the root-cause of such issues, seek clarifications, and then identify and shortlist solution alternatives You will also contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! Technical and Professional Requirements: Technology-4GL-4G - All,Technology-Networking-Routing technologies Preferred Skills: Technology-4GL-4G - All Technology-Networking-Routing technologies