3808 R Jobs

The Model/Anlys/Valid Analyst II position is ideal for a developing professional who applies specialty area knowledge in monitoring, assessing, analyzing, and evaluating processes and data. You will be responsible for identifying policy gaps, formulating policies, interpreting data, making recommendations, and researching factual information. In this role, you will also be expected to identify inconsistencies in data, define business issues, and formulate recommendations on policies, procedures, or practices. It is important to integrate established disciplinary knowledge within your specialty area with a basic understanding of related industry practices as well as understand how your team interacts with others to accomplish objectives. Your role will have a limited but direct impact on the business through the quality of the tasks/services provided, with the impact restricted to your own team. Responsibilities include developing, enhancing, and validating methods of measuring and analyzing risk across all risk types, leading projects in terms of model development, programming, integration, testing, and validation, providing analytical support on analysis and benchmarking, and preparing regular and ad-hoc reports. You will participate in projects aimed at continuously improving risk analytics, modeling and validation systems, and optimizing reports. Furthermore, you will work on improving the reporting system and optimizing Credit MIS Reports. It is crucial to appropriately assess risk when making business decisions, demonstrating consideration for the firm's reputation, and ensuring compliance with applicable laws, rules, and regulations. Key qualifications for this role include demonstrated programming skills (SAS, SQL, R, etc.), knowledge of tools like VBA, basic knowledge of secured/unsecured banking products and US banking, good communication skills to convey technical information to both technical and non-technical audiences, proven analytical skills to identify root causes and trends, proficiency in Microsoft Office applications, and at least 2 years of experience in model implementation/validation/development. A Bachelors/University degree or equivalent experience is required. This is a full-time position within the Risk Management job family group, specifically in the Risk Analytics, Modeling, and Validation job family. Citi is an equal opportunity and affirmative action employer, welcoming all qualified interested applicants to apply for career opportunities. If you are a person with a disability and require a reasonable accommodation for using search tools or applying for a career opportunity, please review Accessibility at Citi.,

As a Business Analytics Int Analyst at our organization, you will be responsible for leveraging analytics to identify enhancement opportunities and more granular insights that can be acted upon, while ensuring adherence to Fraud Policy. Your role will involve ownership and management of fraud rules, scores, and detection strategies. You will analyze customer data and transactional data to identify emerging fraud trends, develop, and improve fraud strategies. Collaboration with cross-functional teams to provide strategy recommendations based on data and trend analysis, and implement mitigation strategies will also be a key aspect of your responsibilities. In this role, you will be tasked with generating and managing regular and ad-hoc reporting to enable effective monitoring and identification of emerging trends. Continually assessing manual and automated processes to identify potential process gaps and opportunities will be crucial. Your analytical skills will be utilized to develop MIS reports, dashboards, and communicate fraud results internally and to the business using advanced visualization techniques. Furthermore, you will work with various stakeholders during strategy development and conversion efforts to identify and fulfill data/analytical needs, as well as develop a comprehensive transition plan. Additionally, mentoring and coaching junior team members will be part of your responsibilities. To be successful in this role, you should hold a Bachelor's degree in Statistics, Economics, Finance, Mathematics, or a related quantitative field. A background in Engineering or MBA from a premier institute is preferred. You should have a minimum of 6+ years of hands-on analytical experience and at least 4+ years of experience in statistical analysis with working knowledge of SAS/SQL (mandatory) and R/Python (desired). The ability to work in a fast-paced, dynamic environment and hands-on experience in data visualization tools, such as Tableau, are essential. Strong analytical and problem-solving abilities are required to deliver projects in a fast-paced environment. Excellent verbal and written communication skills, experience with stakeholder management, and excellent presentation skills to eloquently explain and drive the agenda are also necessary for this role. While experience in fraud strategy/processes and/or fraud analytics is desired, it is not mandatory. This job description provides a high-level review of the types of work performed, and other job-related duties may be assigned as required. If you are looking for a challenging role where you can utilize your analytical skills and contribute to the development and improvement of fraud strategies, then this position may be the right fit for you. Join our team and be a part of a dynamic environment where your contributions will have a direct impact on the effectiveness of the team and other closely related teams.,

As an HR Analyst (Data Analysis and Data Visualization) at Omnicom Global Solutions, you will be responsible for collecting and consolidating data from multiple platforms. Your role will involve creating visually appealing and informative dashboards, reports, and presentations to effectively communicate key findings to stakeholders. Omnicom Global Solutions is a crucial part of Omnicom Group, a global marketing and corporate communications company with networks and specialty firms providing services to clients in over 70 countries. In India, we offer stellar products and solutions in various areas including Creative Services, Technology, Marketing Science, Advanced Analytics, Market Research, and more. In this role, you will collect and consolidate data from platforms like Culture Amp, One Learning, Open Door, and Greenhouse to analyze trends related to employee engagement and satisfaction. You will use statistical methods and data analysis tools to derive insights, perform predictive analytics, and create visually appealing reports using tools like Tableau and Power BI. To excel in this role, you should have at least 3 years of experience in data analysis, preferably within HR or Employee Experience. Join us in our journey of growth and innovation as we work together to enhance employee engagement and experience.,

You should possess a ME/M Tech or PhD in Computer Science or a related field to qualify for the role of Assistant Professor in Artificial Intelligence/Data Science at ASIET Kalady. As an Assistant Professor, your responsibilities will include conducting lectures, developing curriculum, mentoring students, and conducting research in the field of AI and Data Science. To excel in this role, you must have strong programming skills in languages such as Python, R, or Java. Additionally, experience in machine learning, deep learning, and data analysis will be beneficial. Knowledge of data visualization tools like Tableau or Power BI is also required. Excellent communication and presentation skills are essential for effectively conveying information to students and peers. If you hold a PhD in Computer Science, Data Science, or a related field, and meet the aforementioned qualifications, you are encouraged to apply for this challenging and rewarding position.,

As the Manager, Acceptance Analytics, you will work closely with data sets and Mastercard's systems, leveraging your expertise in analytics to connect data insights to broader business performance and strategy. You will be an integral part of the Business Insights, Analytics & Experience team for Global Acceptance, where your role involves identifying trends and insights across products and performance. By collaborating with business teams, you will structure data to drive actionable insights that inform strategy development. Your responsibilities will include leading KPI definition reporting for Global Acceptance, identifying trends and emerging patterns in data sets for actionable insights, and providing timely and relevant insights to support strategic objectives. Partnering with cross-functional teams to organize data effectively and drive valuable insights for key business initiatives will be crucial. You will play a key role in providing strategic insights that shape business strategies based on data-driven decisions. Additionally, you will continuously assess and enhance analytics practices and reporting processes to drive efficiency and effectiveness across the organization. To excel in this role, you should possess strong analytical skills to work with large datasets, proficiency in Mastercard's data systems and tools, and a strategic mindset to align data insights with the broader business strategy. Your ability to quickly learn, identify new patterns, and drive innovation will be essential for spotting growth opportunities and supporting business growth. Effective communication skills are key to translating complex data into clear insights that drive business decisions, while collaboration skills will enable you to work with cross-functional teams towards shared goals. Your interest in actively contributing to strategy development through data-driven insights, self-driven and adaptable nature, and motivation to thrive in a fast-paced environment will be valued. Knowledge of programming languages such as Python, R, or SQL for querying databases, manipulating data, and automating tasks is desired. Advanced Excel skills, including pivot tables, advanced formulas, and macros, are crucial for analyzing and organizing data effectively. Your ability to communicate complex data findings in a clear and compelling manner, making data accessible to non-technical stakeholders, will be essential in this role.,

We are seeking an experienced Analytics Solutions Lead to manage the Analytics Portfolio, driving brand performance and operational execution across international, regional, and affiliate levels. You will be responsible for proactively identifying and designing analytical solutions, leading the development of new dashboards, and co-creating solutions with various stakeholders. This role requires strong analytical skills, expertise in reporting and visualization tools, and experience in the pharmaceutical, customer healthcare, or cosmetics industry. Roles and Responsibilities: Responsible for the Analytics Portfolio that drives brand performance and operational execution across international, regions, and affiliates, as well as sub-national execution (all franchises). Drives strong alignment of the Analytics Portfolio with the evolving KPIs framework , strategic initiatives, and brand portfolio. Proactively identifies and designs analytical solutions to support international strategy, in strong collaboration with brand teams and functional leads. Leads the development of new dashboards by designing, prototyping, deploying, and testing of analytical solutions. When applicable, partners with the Business Technology Solutions team (BTS) and Data Operations lead to implement data products at scale. Leads the co-creation process by including relevant partners from Marketing, Sales Force Effectiveness, Medical Education, Finance, Market Research, as well as Regions and Top 7 Affiliates. Oversees the active analytics portfolio, performs ongoing quality control, and manages escalated problems to resolution. Partners with the Advanced Analytics Lead and BTS to develop solutions infused with ML (Machine Learning) learning algorithms . Essential Skills, Experience, and Competencies: Reporting and visualization expert : Proficient in Power BI . Data wrangling : Expertise in Excel + VBA, Python / R, SQL . Experience in building machine learning models and linear programming models. Experience with Natural Language Processing (NLP) methods. Knowledge of primary and secondary market research methodologies as well as open data sources. Knowledge of CRM, digital communication, and Omnichannel datasets. Experience of leading multi-functional project teams in a matrix structure to effective results. Proven ability to manage and influence people both with and without formal authority. Ability to run algorithms to deliver rapid business insight. Experience in designing and developing technology solutions. Experience in handling large complex datasets and leveraging enterprise data lake and data warehouse solutions. Ability to lead multiple business projects across a variety of stakeholders. Strong influencing skills at International / Global level. Excellent presentation and communication skills. Flexibility & ability to travel (c. 10%). QUALIFICATIONS: Undergraduate degree required. Postgraduate level degree preferred (e.g., MSc, PhD). Qualification in Business Analytics, Computer Science, Data Science, or a related field.

As a Level 9 Industry and Functional AI Decision Science Consultant at Accenture Strategy & Consulting within the Global Network - Data & AI team, your primary responsibility will be to assist clients in the Comms & Media - Telecom practice by designing and implementing AI solutions for their business needs. You will leverage your expertise in the Telco domain, AI fundamentals, and hands-on experience with large datasets to deliver valuable insights and recommendations to key stakeholders. Your role will involve proposing solutions based on comprehensive gap analysis of existing Telco platforms, identifying long-term value propositions, and translating business requirements into functional specifications. By collaborating closely with client stakeholders through interviews and workshops, you will gather essential insights to address their unique challenges and opportunities. In addition to understanding the current processes and potential issues within the Telco environment, you will be responsible for designing future state solutions that leverage Data & AI capabilities effectively. Your ability to analyze complex problems systematically, anticipate obstacles, and establish a clear project roadmap will be crucial to driving successful outcomes for clients. Furthermore, you will act as a strategic partner to clients, aligning their business goals with innovative AI-driven strategies to enhance revenue growth and operational efficiency. Your expertise in storytelling through data analysis will enable you to craft compelling narratives that resonate with senior stakeholders and drive informed decision-making. To excel in this role, you should possess a minimum of 5 years of experience in Data Science, with at least 3 years dedicated to Telecom Analytics. A postgraduate degree from a reputable institution and proficiency in data mining, statistical analysis, and advanced predictive modeling techniques are essential qualifications for this position. Your hands-on experience with various analytical tools and programming languages, such as Python, R, and SQL, will be instrumental in delivering impactful solutions to clients. As a proactive and collaborative team player, you will actively engage with cross-functional teams, mentor junior members, and uphold a high standard of excellence in client interactions. Your strong analytical skills, problem-solving capabilities, and ability to work independently across multiple projects will be key to your success in this dynamic and fast-paced environment. While cloud platform certifications and experience in Computer Vision are considered advantageous, your commitment to continuous learning and staying abreast of industry trends will be highly valued in this role. Overall, your dedication to delivering value-driven AI solutions and fostering long-lasting client relationships will be instrumental in driving success for both Accenture and its clients.,

As a Data Mining Intern, you will have the opportunity to collaborate with our data science and analytics teams to extract valuable insights from large datasets. This position is ideal for individuals who are eager to enhance their skills in data mining, machine learning, and data analysis while making meaningful contributions to projects. Your main responsibilities will include assisting in data collection, cleaning, and preparation for analysis from various sources such as databases, spreadsheets, and APIs. You will utilize exploratory data analysis techniques to identify patterns, trends, and relationships within extensive datasets. Additionally, you will apply statistical methods, data mining algorithms, and machine learning models to derive insights from the data. In this role, you will also be involved in visualizing complex datasets using tools like Tableau, Power BI, or Python libraries (Matplotlib, Seaborn) to effectively communicate your findings. Furthermore, you will be tasked with preparing reports and presentations summarizing insights, trends, and recommendations based on data analysis. Collaboration with senior team members to support data-driven projects and contribute to the development of predictive models and solutions will also be a key aspect of your role. To qualify for this position, you should be currently pursuing or have recently completed a degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Proficiency in programming languages such as Python, R, or SQL for data manipulation and analysis is required. Basic knowledge of data mining techniques, statistical analysis, and machine learning concepts is also essential. Strong problem-solving skills, an affinity for data work, and the ability to present complex data findings clearly are important attributes for this role. Experience with data analysis tools like Python, R, SQL, Excel, and data visualization tools such as Tableau and Power BI will be beneficial. Familiarity with big data platforms like Hadoop and Spark, as well as machine learning algorithms and libraries like scikit-learn or TensorFlow, are desirable skills. Knowledge of statistical tools and methods is also advantageous. This is a full-time, permanent position with benefits including paid sick time. The work schedule is during the day shift, and the work location is in person.,

As a Business Analyst at YouTube, you will play a crucial role in the Trust & Safety team, working towards making YouTube a secure platform for users, viewers, and content creators worldwide. Your responsibilities will involve utilizing data and problem-solving techniques to define success metrics for Trust and Safety operations, measure business performance, and effectively communicate insights to executives and external stakeholders. You will collaborate with key business partners to understand data requirements, write Extract, Transform and Load (ETL) scripts, and work closely with internal teams to drive operational excellence. Your expertise will be instrumental in toggling between high-level strategic perspectives and day-to-day tactical improvements to enhance business performance and efficiency, such as implementing automation using classifiers and tools to expedite the removal of violative content. Furthermore, you will be tasked with developing, building, and evaluating performance metrics for abuse prevention and operational efficiency across YouTube, generating insights to reduce the prevalence of harmful content on the platform. Your role will also involve learning complex technical concepts and systems, effectively communicating technical results and methods, and collaborating with Data Science and Strategy teams to conduct advanced quantitative analyses that lead to actionable insights. Additionally, you will analyze existing processes to identify opportunities for enhancement, define requirements for improvement, and work collaboratively across functions and regions to optimize processes and tools. Your analytical skills will be crucial in analyzing and addressing escalations, identifying trends that may indicate potential product risks, and contributing to the continuous improvement of YouTube's Trust & Safety operations. Overall, as a Business Analyst at YouTube, you will be at the forefront of safeguarding the platform, supporting its mission to represent diversity, foster community, and empower individuals to share their stories and connect with others worldwide.,

You have a fantastic opportunity to join as a Technical Architect with a minimum of 15 years of IT experience, out of which at least 6 years have been dedicated to developing and architecting web applications with a strong emphasis on JavaScript. Your role will involve working on web applications based on Service-Oriented Architecture (SOA) principles, utilizing various UI frameworks and languages such as Angular, NodeJS, ExpressJS, ReactJS, JQuery, CSS, and HTML5. You must have expertise in responsive UI design and development, as well as a deep understanding of JavaScript/ES6 for building high-performing and heavy-traffic web applications using JS frameworks like Angular, React, Ember, etc. Additionally, experience with unit-test driven development, build tools like Webpack, Gulp, Grunt, and Continuous Integration and Continuous Deployment with Jenkins will be crucial. As a Technical Architect, you will be expected to excel in Frontend and Middleware design, development, and implementation, focusing on technologies such as Angular, Node ExpressJS, and related tools. Experience in AWS Cloud Infrastructure, AWS application services, AWS Database services, Containers, and Microservices will be highly beneficial. Your responsibilities will also include designing Microservices reference Architecture, BRMS, BPMN, and Integrations, along with expertise in Cloud native solutions, DevOps, Containers, CI/CD, Code Quality, Micro-Services, API architectures, Cloud, Mobile, and Analytics. Nice-to-have skills include experience in NoSQL, Elasticsearch, Python, R, Linux, Data Modeling, and Master Data Management. In your day-to-day role, you will be tasked with identifying business problems, developing Proof-of-concepts, architecting, designing, developing, and implementing frameworks and application Software Components using Enterprise/Open Source technologies. You will play a key role in designing & implementing Application Architecture concepts, best practices, and state-of-the-art Integration Patterns while troubleshooting pre and post-production functional and non-functional issues. Furthermore, you should have the capability to learn new technologies quickly, stay updated on the latest industry trends, and techniques. If you are passionate about technology, enjoy problem-solving, and have a knack for staying ahead in the ever-evolving tech landscape, this role offers an exciting opportunity for you to showcase your skills and make a significant impact.,

You are an experienced Senior Data Analyst with a minimum of 7-8 years of experience in data analysis roles, specifically with significant exposure to Snowflake. Your primary responsibilities will include querying and analyzing data stored in Snowflake databases to derive meaningful insights for supporting business decision-making. You will also be responsible for developing and maintaining data models and schema designs within Snowflake to facilitate efficient data analysis. In addition, you will create and maintain data visualizations and dashboards using tools like Tableau or Power BI, leveraging Snowflake as the underlying data source. Collaboration with business stakeholders to understand data requirements and translate them into analytical solutions is a key aspect of this role. You will also perform data validation, quality assurance, and data cleansing activities within Snowflake databases. Furthermore, you will support the implementation and enhancement of ETL processes and data pipelines to ensure data accuracy and completeness. A Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Information Systems, or a related field is required. Certifications in data analytics, data visualization, or cloud platforms are desirable but not mandatory. Your primary skills should encompass a strong proficiency in querying and analyzing data using Snowflake SQL and DBT. You must have a solid understanding of data modeling and schema design within Snowflake environments. Experience in data visualization and reporting tools such as Power BI, Tableau, or Looker is essential for analyzing and presenting insights derived from Snowflake. Familiarity with ETL processes and data pipeline development is also crucial, along with a proven track record of using Snowflake for complex data analysis and reporting tasks. Strong problem-solving and analytical skills, including the ability to derive actionable insights from data, are key requirements. Experience with programming languages like Python or R for data manipulation and analysis is a plus. Secondary skills that would be beneficial for this role include knowledge of cloud platforms and services such as AWS, Azure, or GCP. Excellent communication and presentation skills, strong attention to detail, and a proactive approach to problem-solving are also important. The ability to work collaboratively in a team environment is essential for success in this position. This role is for a Senior Data Analyst specializing in Snowflake, based in either Trivandrum or Bangalore. The working hours are 8 hours per day from 12:00 PM to 9:00 PM, with a few hours of overlap during the EST time zone for mandatory meetings. The close date for applications is 18-04-2025.,

As a Senior Data Analyst on the Patient Experience Platform team at Commure, you will play a crucial role in transforming data into actionable insights that will shape the future of patient engagement. Your primary responsibility will be to analyze both structured and unstructured data to identify trends in patient behavior, satisfaction, and engagement across the platform. By working closely with product, clinical, and engineering teams, you will drive data-informed decisions that aim to enhance the overall healthcare journey for patients. Key Responsibilities: - Analyze data to uncover trends in patient behavior, satisfaction, and engagement on the platform. - Define, track, and report on key performance indicators (KPIs) related to patient experience, platform adoption, Net Promoter Score (NPS), Customer Satisfaction (CSAT), and clinical outcomes. - Collaborate with stakeholders to support experimentation, feature evaluation, and user behavior analysis through A/B testing. - Design and maintain dashboards and self-service analytics tools to effectively communicate insights to business and clinical teams. - Ensure accurate and consistent data capture across the platform, working closely with product managers and engineers. - Support efforts to improve data quality, integrity, and accessibility from various sources such as Electronic Health Records (EHRs), surveys, and engagement tools. - Translate complex data into compelling stories that inform decision-making and help prioritize product enhancements. - Maintain compliance with HIPAA and other healthcare data privacy and security standards. - Mentor junior analysts and promote a data-driven culture within the organization. - Drive initiatives to enhance data governance practices, ensuring data accuracy and consistency. - Lead the analysis of A/B test results to guide product and User Experience (UX) optimizations. - Contribute to creating reports and presentations for senior leadership summarizing insights and recommending actions. Requirements: - Bachelors or Masters degree in Data Science, Statistics, Public Health, Computer Science, or a related field. - 3+ years of experience in data analysis, preferably within healthcare or digital health technology. - Proficiency in SQL and at least one analytical programming language (Python or R). - Experience with Business Intelligence (BI) tools such as Looker, Tableau, Power BI, or similar. - Strong understanding of behavioral and product analytics including funnel analysis, cohort analysis, retention, and segmentation. - Familiarity with healthcare data formats such as HL7, FHIR, EMR/EHR data, HCAHPS, and CAHPS. - Experience working with cloud data warehouses like BigQuery, Snowflake, Redshift, or Clickhouse. - Knowledge of A/B testing methodologies and statistical significance. - Excellent data storytelling, communication, and collaboration skills. - Passion for improving healthcare experiences through data and technology. - Experience with predictive analytics or machine learning models is a plus. - Familiarity with data visualization best practices to present complex findings in an easily digestible format. - Knowledge of data privacy regulations including GDPR, in addition to HIPAA. - Ability to work with large-scale datasets and experience in data wrangling.,

Be part of the future HR transformation at the dynamic intersection of people strategy, technology, and data-driven insights! We're seeking a leader to modernize and optimize our HR digital landscape across our global operations. This is your opportunity to architect extraordinary employee experiences, drive enterprise-wide innovation, and deliver measurable business value through strategic HR digital solutions and advanced analytics. As the Head of HR Digital Enablement & Analytics, you'll develop comprehensive strategies that support our HR solution vision while leading our talented People Analytics team. You'll serve as a key strategic partner to the HR Executive Team, deeply understanding our global HR organization's needs and collaborating with Group Digital & Technology to transform these insights into innovative digital solutions that enhance efficiency, effectiveness, and employee experience across the organization. Collaborate with HR teams, Group Digital & Technology, and key stakeholders to define and champion long-term HR process, employee experience, and solution strategies that enable Swiss Re's business objectives. Lead the People Analytics team in developing comprehensive analytics strategies, building predictive models, and creating advanced reporting capabilities that drive organizational insights and strategic decision-making. Drive partnerships between HR COEs and Group Digital and Technology to optimize HR processes through service design and strategic technology implementation, identifying emerging HR technologies that enhance employee experience. Understand HR needs and spearhead digital transformation initiatives across the HR function with significant business impact, working with users to evaluate service efficacy and recommend improvements. Partner with Group Digital & Technology to facilitate a portfolio of transformation initiatives, ensuring value-driven investment decisions and developing metrics to gauge HR process effectiveness. Collaborate with technical teams to create frameworks ensuring data integrity, accessibility, and compliance across HR systems while mitigating risks associated with HR processes. Cultivate relationships with key external partners to influence roadmaps and integrate innovative solutions into HR processes. You and your team will be part of the HR Operational Excellence function, a global, cross-functional group dedicated to enhancing the performance, efficiency, and impact of HR services across the organization. The HR Digital and Analytics team that you will lead plays a central role in enabling strategic HR transformation. The team drives continuous improvement across HR services, processes, and systems, and promotes data-driven decision-making by fostering learning through innovative programs like #iLearn and facilitating global collaboration through community dashboards. You're an experienced leader who thrives at the intersection of people strategy, HR service design, digital innovation, and workforce analytics. Your consultative approach allows you to translate complex business challenges into transformative digital solutions. You possess exceptional influencing skills that enable you to navigate organizational complexity and build consensus among diverse stakeholders. Your forward-thinking strategic mindset is balanced by pragmatic execution capabilities and a genuine passion for creating technology and data solutions that enhance workplace experiences. University degree and/or equivalent professional qualification in a related field. Minimum 10 years of significant track record in similar role(s) acquiring relevant skills in HR transformation, service design, technology-enabled transformation, and data analytics. Deep knowledge and experience in global HR business processes, including strategy development, service delivery, human capital management technologies, with the ability to translate business needs into technology requirements. Advanced expertise in people analytics, data visualization, statistical analysis, and predictive modeling for workforce insights, with experience leading HR data analytics teams and building capabilities within HR functions. Experience working with enterprise HRIS platforms (Workday, SAP SuccessFactors, Oracle HCM). Proficiency with data analytics tools and languages (Power BI, Tableau, R, Python, SQL). Demonstrated ability to influence, collaborate, and manage change with key stakeholders across global, matrix organizations. Knowledge of emerging technologies including GenAI and their application to HR. Executive education in digital transformation or advanced HR technology certifications (HRIP, SHRM-SCP). Strategic vendor management experience. Our company has a hybrid work model where the expectation is that you will be in the office three days per week. This role is not eligible for either relocation assistance or visa sponsorship. Swiss Re is one of the world's leading providers of reinsurance, insurance, and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. We cover both Property & Casualty and Life & Health. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world.,

Morgan Stanley Fund Services (MSFS), a wholly owned subsidiary of Morgan Stanley, provides fund administration services to the world's leading hedge funds. With over $500+ billion in Assets under Administration, the division employs over 1,400 professionals globally, with offices in New York, Dublin, London, Hong Kong, Mumbai, Glasgow, and Bangalore. The Portfolio Analytics group within Morgan Stanley Fund Services focuses on helping clients analyze, understand, and report Investment risk and performance of clients" portfolios, provide portfolio transparency reporting, derivatives valuation, and other portfolio analytics needs of Morgan Stanley's global hedge fund clientele. We leverage the group's proprietary web-based applications and work closely with hedge fund clients and other teams within the division. The Portfolio Analytics team is currently seeking a candidate based in Mumbai who is interested in applying skills in the business area concerning performance and risk attribution for hedge fund portfolios using in-house analytical tools. The candidate is expected to apply business knowledge, process, and people management skills to effectively manage client deliverables. The role will include significant collaboration with teams across the globe, particularly in New York, Hong Kong, and London. Key responsibilities include: - Taking responsibility for various day-to-day functions within the team to ensure timely client deliverables - Preparing custom client reports that involve risk and performance calculation - Helping in building automation to scale bespoke solutions for the clients using VBA coding or with IT solutions - Streamlining existing processes by proactively engaging with relevant stakeholders to bring operational efficiency - Actively participating and contributing to building new analytical tools - Ensuring proper process training for new hires and creating adequate backups for business continuity Desired Skillset/qualifications: - BE/BTech + MBA(Finance) with 6+ years of experience in financial services. Hedge funds experience along with CFA/FRM certification will be an added advantage - Hands-on Experience in coding language like Excel-VBA or R is required - Strong understanding of equities, fixed income, and derivatives products - Exceptional analytical and problem-solving ability - Self-motivator with strong verbal and written communications skills - Ability to take ownership of assigned tasks and drive them independently The role requires working in shifts from 12 pm - 9 pm or 1 pm - 10 pm and following the US Holiday calendar. Morgan Stanley is an equal opportunities employer that provides a supportive and inclusive environment where all individuals can maximize their full potential. The company values diversity, inclusion, and commitment to excellence, ensuring that employees are supported, empowered, and given the opportunity to work alongside the best and the brightest. Employees at Morgan Stanley benefit from attractive and comprehensive employee benefits and perks, with opportunities for career advancement and personal growth. For more information about Morgan Stanley offices across the globe, please visit https://www.morganstanley.com/about-us/global-offices.,

As a Quantitative Data Analyst at NuQuants, a division of Zivanta Analytics, you will be an integral part of our team in Kolkata, India. Your role will involve conducting detailed quantitative analysis and supporting valuation processes for US banking products. By utilizing advanced quantitative techniques and industry-standard methodologies, you will contribute to strategic decision-making in the financial sector. Your responsibilities will include collecting, cleaning, and preprocessing large datasets from various sources to ensure data quality. You will develop and implement statistical models, machine learning algorithms, and data mining techniques to analyze the data effectively. Furthermore, you will generate insights from the data analysis, create detailed reports, and deliver presentations to stakeholders. It is essential for you to have a background in Computer Sciences or a quantitative field such as Finance, Business, Mathematics, Data Science, Statistics, Economics, or Engineering. Proficiency in Python, R, and SQL programming is required, with a focus on financial data management. Strong quantitative analysis skills and a keen interest in financial markets are also crucial for this role. Preferred qualifications include excellent communication skills to convey technical concepts clearly, attention to detail, and the ability to thrive in a fast-paced, collaborative environment. You should be self-motivated, proactive in problem-solving, and willing to quickly gain expertise in new subject matters. At Zivanta, we operate on a hybrid work schedule, with 3 days on-site in Kolkata and 2.5 days working from home. Candidates based in Kolkata are preferred for this position due to the office-based nature of the work. If you are excited about this opportunity, please share your updated CV with us at hr@zivanta-analytics.com. We are looking forward to meeting you and wish you the best in your application process!,

You are a strategic thinker passionate about driving solutions in BI and Analytics (Alteryx, SQL, Tableau), and you have found the right team. As a Business Intelligence Developer Associate within our Asset and Wealth Management Finance Transformation and Analytics team, you will be tasked with defining, refining, and achieving set objectives for our firm on a daily basis. You will be responsible for designing the technical and information architecture for the MIS (DataMarts) and Reporting Environments. Additionally, you will support the MIS team in query optimization and deployment of BI technologies, including but not limited to Alteryx, Tableau, MS SQL Server (T-SQL programming), SSIS, and SSRS. You will scope, prioritize, and coordinate activities with the product owners, design and develop complex queries for data inputs, and work on agile improvements by sharing experiences and knowledge with the team. Furthermore, you will advocate and steer the team to implement CI/CD (DevOps) workflow and design and develop complex dashboards from large and/or different data sets. The ideal candidate for this position will be highly skilled in reporting methodologies, data manipulation & analytics tools, and have expertise in the visualization and presentation of enterprise data. Required qualifications, capabilities, and skills include a Bachelor's Degree in MIS, Computer Science, or Engineering. A different field of study with significant professional experience in BI Development is also acceptable. Strong DW-BI skills are required with a minimum of 7 years of experience in Data warehouse and visualization. You should have strong work experience in data wrangling tools like Alteryx and working proficiency in Data Visualizations Tools, including but not limited to Alteryx, Tableau, MS SQL Server (SSIS, SSRS). Working knowledge in querying data from databases such as MS SQL Server, Snowflake, Databricks, etc., is essential. You must have a strong knowledge of designing database architecture, building scalable visualization solutions, and the ability to write complicated yet efficient SQL queries and stored procedures. Experience in building end-to-end ETL processes, working with multiple data sources, handling large volumes of data, and converting data into information is required. Experience in the end-to-end implementation of Business Intelligence (BI) reports & dashboards, as well as good communication and analytical skills, are also necessary. Preferred qualifications, capabilities, and skills include exposure to Data Science and allied technologies like Python, R, etc. Exposure to automation tools like UIPath, Blue Prism, Power Automate, etc., working knowledge of CI/CD workflows and automated deployment, and experience with scheduling tools like Control M are considered advantageous.,

The Market Research Intern at USEReady will play a crucial role in supporting strategic initiatives by providing deep, data-driven insights into the evolving Data and AI landscape. You will collaborate with the Strategy and Innovation teams to explore emerging trends in Agentic AI, data platforms, and enterprise AI adoption. By conducting in-depth market research and applying advanced research methodologies, you will analyze market dynamics, competitive positioning, and client needs within the rapidly evolving tech consulting space. Key responsibilities of this role include conducting detailed market research on Agentic AI, data engineering, cloud platforms, and digital transformation trends. You will also analyze competitive intelligence, benchmark leading players in the AI consulting and enterprise services space, and apply advanced techniques to uncover insights. Supporting go-to-market strategies with data-backed recommendations, designing and analyzing surveys, expert interviews, and secondary research will be part of your daily tasks. Additionally, you will create compelling dashboards and visual reports for internal stakeholders and leadership. To qualify for this position, you should have an MBA (or currently pursuing) from a top-tier institution, preferably with a focus on Strategy, Technology Management, or Analytics. A strong understanding of the Data & AI ecosystem, including Agentic AI, cloud platforms (Azure, AWS, GCP), and enterprise data solutions is required. Proficiency in data analysis tools such as Python, R, SQL, and Excel, as well as experience with data visualization tools like Tableau, Power BI, or Looker, is essential. Familiarity with market research techniques and excellent communication skills are also necessary. Being a self-starter with strong organizational skills and the ability to manage multiple priorities in a fast-paced environment is vital. Prior experience in consulting, tech strategy, or analytics is considered a strong advantage. Working as a Market Research Intern at USEReady, you will gain exposure to cutting-edge Agentic AI and data consulting projects, hands-on experience with strategic market research in a high-growth tech environment, and mentorship from industry leaders in AI, data science, and digital strategy. You will have the opportunity to contribute to real-world business decisions and client engagements. To apply for this position, please submit your resume, a brief cover letter, and any relevant work samples or project portfolios to [careers@useready.com].,

As an AVP, Portfolio Analytics & Product Optimization at Synchrony, you will play a crucial role in providing end-to-end analytical support and solutions to PCMs. Your responsibilities will include offering analytics across key SYF new products, understanding consumer insights and behaviors to optimize product offering strategy. Your role will involve analyzing off-us behavioral characteristics, consumer behavior, credit performance, and partner & consumer pricing to ensure the correct set of products are offered to individual consumers. It is essential to develop data-driven product optimization and offering decisioning processes to maximize conversion, penetration, and share of wallet through the introduction of new products. Collaboration with internal functional stakeholders across Product, Analytics, Credit, Finance, Client teams, and others will be necessary. Mining datasets to drive product optimization strategies and recommendations using statistical modeling, a variety of analytical techniques, and advanced visualization will be a key aspect of your role. Reporting to the VP, Portfolio Credit Analytics within India Credit Organization, you will be instrumental in driving the product strategy targeting to increase penetration, customer engagement, and overall profitability. Key Responsibilities: - Partner with PCMs to understand analytic needs and provide insight and recommendations for portfolio growth and loss mitigation. - Lead credit tasks in cross-functional projects and identify key trends associated with portfolios using advanced analytics to deploy necessary strategies for credit loss mitigation. - Develop & maintain a decision management and analytical optimization framework to drive product strategy targeting. - Create product P&L performance tools in collaboration with Finance and Client teams. - Establish enterprise product optimization analytics dashboards and a product testing strategy. - Provide critical insights, make recommendations, and execute roadmap to demonstrate thought leadership. - Collaborate with Product organization and implementation teams to understand product distribution platforms and new product roadmap. - Analyze datasets and explore opportunities for product optimization innovation through data analytics. - Apply diverse analytical methods and statistical modeling techniques to enable state-of-the-art analytical decisioning framework. - Develop dashboards utilization visualization tools as needed and manage multiple projects simultaneously. Required Skills/Knowledge: - Bachelor's degree with quantitative underpinning and 5+ years of experience in consumer and/or commercial Credit/Risk, or Analytics role. Alternatively, 7+ years of experience in Programming/Analytics ideally in support of relevant professional experience. - Proficiency in statistical analysis tools such as SAS, R, Python. - Experience leading large-scale analytics projects and working with large or complex datasets. - Strong PC proficiency (Microsoft Suite) and ability to provide guidance to analysts. - Strong self-starter with a balance of individual and team goals achievement. - Ability to handle sensitive issues with integrity and confidentiality. Desired Skills/Knowledge: - Knowledge of card industry P&L, drivers, and assumptions. - Demonstrated success in developing and delivering analytics solutions. - Understanding of credit risk performance, targeting, and segmentation, retail analytic tools, and advanced Excel and PowerPoint skills. - Excellent communication and presentation skills. - Experience in developing, testing, documenting, and maintaining standardized outcome metrics. - Project management, multi-tasking, relationship management skills, and strategic thinking. Eligibility Criteria: - Bachelor's degree with quantitative underpinning and 5+ years of experience in relevant roles. Alternatively, 7+ years of experience in relevant professional experience. Work Timings: This role offers Enhanced Flexibility and Choice and requires availability between 06:00 AM Eastern Time 11:30 AM Eastern Time for meetings with India and US teams. The remaining hours are flexible for employees to choose, with exceptions based on business needs. For Internal Applicants: - Understand the criteria or mandatory skills required for the role before applying. - Inform your manager and HRM before applying for any role on Workday. - Ensure your professional profile is updated and upload your updated resume. - No corrective action plan (Formal/Final) should be in place. - L9+ Employees who have completed 18 months in the organization and 12 months in their current role and level are eligible. - Employees at L9+ can apply for this opportunity. Grade/Level: 11 Job Family Group: Credit,

As a Data Visualization and Web Development Specialist at Inclusive Minds, you will be a crucial part of the team responsible for transforming intricate electoral data into engaging visual representations that facilitate strategic decision-making for political campaigns. Your role will involve utilizing your expertise in web visualization frameworks like D3.js, Chart.js, Highcharts, or equivalent tools to present data in a user-friendly and impactful manner. Candidates aspiring to join our dynamic data and analytics team should possess a solid technical background encompassing the following key areas: - Proficiency in utilizing web visualization frameworks such as D3.js, Chart.js, Highcharts, or their equivalents to create visually appealing representations of data. - Strong command over SQL with practical experience in managing relational databases (optional). - Competence in programming languages like Python, R, or PHP for data processing, analytics, and visualization purposes. - Familiarity with libraries such as Pandas, NumPy, and Matplotlib for efficient data handling within the Python environment. - Ability to automate data processing workflows and derive actionable insights from complex datasets. - Proficient in HTML, CSS, and JavaScript for constructing and enhancing interactive web-based dashboards. - Knowledge of front-end frameworks like React.js or Vue.js would be advantageous. - Experience in integrating APIs and external data sources into web applications. - Understanding of database optimization techniques for efficient management of extensive electoral datasets. In this role, you will have the opportunity to contribute to the strategic decision-making process of political campaigns by translating data into visually compelling formats. Your expertise in data visualization and web development will be instrumental in shaping impactful electoral campaigns that drive social change and influence public policies positively.,

Rockwell Automation is a global technology leader dedicated to assisting the world's manufacturers in enhancing productivity, sustainability, and agility. With over 28,000 employees striving to make a positive impact daily, we take pride in our exceptional team. Our customers, remarkable companies contributing to essential sectors such as healthcare, agriculture, and environmental conservation, inspire our team of energetic problem solvers to drive meaningful change worldwide. If you are a maker, forward thinker, or problem solver seeking a platform to showcase your skills, we invite you to consider joining us! As an AI Architect at Rockwell Automation based in Pune, Noida, or Bangalore, India, you will play a crucial role in designing, developing, and implementing enterprise-grade artificial intelligence solutions. Reporting to the Director of Enterprise Architecture, you will operate from our Pune office in a hybrid capacity. Collaborating with diverse teams including data scientists, engineers, and business leaders, you will ensure that AI systems are scalable, secure, and aligned with organizational objectives. **Your Responsibilities:** - **Architect and implement AI solutions**: Design and supervise end-to-end AI architectures that seamlessly integrate with existing IT and data infrastructure, focusing on scalability, performance, and maintainability. - **Lead cross-functional delivery teams**: Provide guidance to data scientists, engineers, and business stakeholders across the AI solution lifecycle, from ideation and prototyping to production deployment and monitoring. - **Evaluate and recommend technologies**: Assess AI/ML platforms, frameworks, and tools to ensure alignment with business requirements and technical feasibility. - **Establish best practices**: Define standards for model development, testing, deployment, and lifecycle management, ensuring compliance with ethical AI principles and data privacy regulations. - **Mentor and evangelize**: Offer technical leadership and mentorship to junior architects and data professionals, while advocating for AI adoption and architectural vision within the organization. **The Essentials You Will Have:** - A Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field. - 5+ years of experience in designing and implementing AI architectures in production environments. - Proficiency in AI/ML frameworks and tools such as TensorFlow, PyTorch, Keras, and cloud-based AI services. - Strong programming skills in Python, R, Java, or similar languages. - Deep understanding of data structures, algorithms, and software engineering best practices. - Experience leading complex AI projects with cross-functional teams and delivering solutions that drive business outcomes. - Familiarity with ethical AI practices and data protection regulations. **The Preferred You Might Also Have:** - Experience deploying AI solutions on cloud platforms in hybrid or multi-cloud environments. - Knowledge of MLOps tools and practices for continuous integration, deployment, and monitoring of AI models. - Strong problem-solving abilities and the capacity to translate business requirements into scalable technical solutions. - Experience in mentoring and developing talent within AI or data science teams. **What We Offer:** Our benefits package includes comprehensive mindfulness programs, volunteer paid time off, employee assistance programs, personalized wellbeing programs, on-demand professional development courses, and other local benefits. At Rockwell Automation, we are committed to fostering a diverse, inclusive, and authentic workplace. If you are enthusiastic about this role but do not meet every qualification in the job description, we encourage you to apply as you might be the right fit for this position or other roles. Rockwell Automation's hybrid policy mandates employees to work at a Rockwell location at least on Mondays, Tuesdays, and Thursdays unless they have a business obligation elsewhere.,

As a technical data analyst intern, you will utilize data analysis and statistical skills on various supply chain projects and activities. You will work in a dynamic environment and be responsible for a wide range of predictive analytics, statistical applications, and modeling. Your main tasks will involve automating and streamlining data gathering and reporting methodologies. Your contributions will play a vital role in enhancing the productivity and effectiveness of Vyrian's sales teams, ultimately leading to increased revenue and margin. To be eligible for this internship, you should be pursuing a Bachelor's of Science or Master's degree in any math, science, or engineering field. Strong math and statistical modeling skills are required, with a preference for those majoring in Statistics or Data Science. Proficiency in SQL, BI tools, and Excel is necessary to produce ad-hoc data analyses and presentations. Additionally, knowledge in advanced analytics tools such as Python, R, Einstein Plus, and Dataiku would be advantageous. If you love working with large volumes of data and are proactive in your approach to work with minimal supervision and high motivation, you are a good fit for this role. Strong reasoning abilities, sound judgment, organizational skills, and the ability to prioritize tasks are also key qualities that we are looking for in potential candidates. We appreciate all applicants for submitting their qualifications. However, only those individuals who are being considered for an interview or are currently employed by Vyrian will be contacted.,

You are an experienced Real-World Evidence (RWE) Analyst looking to join a small, fast-growing team at Mango Sciences, an AI-driven data aggregation and analytical engine focused on improving healthcare access and quality. In this role, you will be part of a project team that utilizes healthcare data to deliver clinical insights to clients in the pharmaceutical industry. Your responsibilities will include designing retrospective and prospective research studies, problem-solving, managing workstreams, conducting research and analysis, reviewing outputs, and presenting findings. To excel in this position, you should have an undergraduate or post-graduate degree in a quantitative discipline such as epidemiology, statistics, data science, or engineering, along with 4-6 years of relevant work experience. You should possess strong analytic and problem-solving skills, experience in the pharmaceutical industry, technical proficiency in SQL and R/Python/Other, and excellent communication abilities. Attention to detail, proficiency in Microsoft products, dedication to teamwork, and a track record of innovation are also essential. Working at Mango Sciences offers you the opportunity to be part of a team that is passionate about reimagining healthcare and making a meaningful impact on patient health outcomes. If you are someone who thrives in a dynamic, entrepreneurial environment and is committed to excellence, teamwork, honesty, and integrity, then this role is ideal for you. Join us in shaping and growing the RWE analytics function and contributing to the company's vision of using data to unlock insights into human populations never studied before.,

As a Workforce Analyst at Infosys BPM Ltd., Mangalore, you will be a crucial part of shaping operational strategy through advanced forecasting, real-time analytics, and performance insights. Your primary responsibility will be to analyze large datasets, forecast volumes, and optimize workforce allocation to enhance efficiency, resource planning, and service delivery. Key Responsibilities: - Analyze large data sets to identify trends, forecast volumes, and optimize workforce allocation. - Develop and manage real-time dashboards to monitor performance KPIs. - Conduct root cause analysis on variances and operational challenges. - Provide regular reports and strategic recommendations to internal teams and stakeholders. - Ensure data consistency across all WFM and analytics processes. To be successful in this role, you should have a minimum of 2+ years of experience in Workforce Management or a similar analytics-driven role. Proficiency in SQL, R, Python, or related programming languages is required, along with experience in Tableau, Power BI, or similar visualization tools. Strong communication skills are essential to effectively communicate data insights to technical and non-technical audiences. A degree in Statistics, Mathematics, Finance, Computer Science, or any quantitative field is preferred. A proactive mindset characterized by curiosity, confidence, and persistence in problem-solving is highly valued. Why Join Us - Work in a high-impact, analytics-first environment. - Collaborate with teams that prioritize innovation and efficiency. - Competitive compensation and ample growth opportunities. - Contribute to transforming business operations through data-driven strategies. If you are ready to make a significant impact through smart workforce strategy, apply now and be a part of building a smarter workforce together. Join us in Mangalore for the Night Shift role with 23+ years of experience. Warm Regards, Talent Acquisition Team Infosys BPM Ltd. Human Resources | INFY HR Website: www.infosysbpm.com Bangalore | Global Locations Transforming Talent | Empowering Careers,

As a Pricing Revenue Growth Consultant, your primary role will be to advise on building a pricing and promotion tool for a Consumer Packaged Goods (CPG) client. This tool will encompass pricing strategies, trade promotions, and revenue growth initiatives. You will be responsible for developing analytics and machine learning models to analyze price elasticity, promotion effectiveness, and trade promotion optimization. Collaboration with CPG business, marketing, data scientists, and other teams will be essential for the successful delivery of the project and tool. Your Business Domain Skills will be crucial in this role, including expertise in Trade Promotion Management (TPM), Trade Promotion Optimization (TPO), Promotion Depth Frequency Forecasting, Price Pack Architecture, Competitive Price Tracking, Revenue Growth Management, and Financial Modeling. Additionally, you will need proficiency in AI, Machine Learning for Pricing, and Dynamic pricing implementation. Key Responsibilities: - Utilize Consulting Skills for hypothesis-driven problem solving, Go-to-Market pricing, and revenue growth execution. - Conduct Advisory Presentations and Data Storytelling. - Provide Project Leadership and Execution. In terms of Technical Requirements, you should possess: - Proficiency in programming languages such as Python and R for data manipulation and analysis. - Expertise in machine learning algorithms and statistical modeling techniques. - Familiarity with data warehousing, data pipelines, and data visualization tools like Tableau or Power BI. - Experience in Cloud platforms like ADF, Databricks, Azure, and their AI services. Your Additional Responsibilities will include: - Working collaboratively with cross-functional teams across sales, marketing, and product development. - Managing stakeholders and leading teams. - Thriving in a fast-paced environment focused on delivering timely insights to support business decisions. - Demonstrating excellent problem-solving skills and the ability to address complex technical challenges. - Communicating effectively with cross-functional teams and stakeholders. - Managing multiple projects simultaneously and prioritizing tasks based on business impact. Qualifications: - A degree in Data Science or Computer Science with a specialization in data science. - A Master's in Business Administration and Analytics is preferred. Preferred Skills: - Experience in Technology, Big Data, and Text Analytics.,

At ZeroNorth, you are at the forefront of transforming the shipping industry through digital innovation. The solutions provided by ZeroNorth are designed to lead the industry in sustainability by significantly reducing CO2 emissions. The core mission of making global trade greener is what drives everything at ZeroNorth. Your contributions will play a crucial role in reducing emissions, aligning commercial success with sustainability, and delivering benefits for both profitability and the environment. ZeroNorth is powered by a diverse team of 550+ professionals with more than 38 nationalities, operating out of global hubs including Copenhagen (our headquarters), Athens, Chennai, Mumbai, New York, Oslo, San Diego, Singapore, Sofia, and Tokyo. The focus is on leading the industry's green transition and enabling partners to leverage data for actionable decarbonization efforts. As a Vessel Optimization Analyst at ZeroNorth in this 12-month fixed-term contract, you will contribute to delivering world-class technical expertise as an individual contributor to Vessel Optimization projects and tasks. You will play a leading role in advising customers and colleagues on vessel hydrodynamics, fuel models, vessel performance, and optimization, thereby contributing significantly to the team's success. Key Responsibilities: - Assist on performance monitoring and optimization tasks by providing analytical, fact-based decision support. - Create and maintain theoretical performance models/hydrodynamic models to analyze the impact of weather conditions, hull fouling, and other external factors on propulsion efficiency and total energy management. - Provide monthly reporting and follow-up on performance results, KPIs, fuel tables, etc. - Efficiently monitor and execute projects. - Build collaborative relationships with internal and external stakeholders. - Contribute to the daily tasks forming the department's services. Your Profile: You are expected to have a degree in Marine Engineering or Naval Architecture, along with relevant experience in Vessel Optimization. In-depth knowledge of data capture and modeling, creation of reports, and supporting customers is crucial. Proficiency in Python, R, BI or Tableau, Matlab, Java, and similar tools is required, with experience in AI/ML being a huge advantage. Additional Benefits: ZeroNorth values its employees and offers a comprehensive benefits package, including medical insurance for you and your family, daily meal allowances, and additional benefits such as five days of working, paid leave, gratuity benefit, health check-ups, marriage allowance, maternity benefit, and professional development opportunities. About ZeroNorth: ZeroNorth aims to make global trade sustainable by steering the maritime industry toward zero emissions. The platform provides real-time insights to optimize operations and align commercial success with environmental impact. Collaboration and inclusion are key to ZeroNorth's culture, with a focus on honesty, trust, and the unique contributions of every team member to drive meaningful change together. Let's make global trade green.,