19784 Statistics Jobs - Page 40

Job Responsibilities of Underwriter 1.Examining insurance proposals 2.Collecting background information and assessments of risk. 3.Analysing statistical data using specialist computer programmes 4. Writing quotes and negotiating the terms with brokers and clients 5.Determining premiums 6.Deciding the wording of policies 7.Preparing insurance policy terms and conditions. 8.Liaisin Job Responsibilities of Underwriter 1.Examining insurance proposals 2.Collecting background information and assessments of risk. 3.Analysing statistical data using specialist computer programmes 4. Writing quotes and negotiating the terms with brokers and clients 5.Determining premiums 6.Deciding the wording of policies 7.Preparing insurance policy terms and conditions. 8.Liaising with insurance brokers and customers. Key skills 1.Analytical skills 2.Good Maths and statistics skills 3.Attention to detail 4.IT skills 5.Good Judgement 6.Negotiation and interpersonal skills 7.Verbal and written communicationg with insurance brokers and customers. Key skills 1.Analytical skills 2.Good Maths and statistics skills 3.Attention to detail 4.IT skills 5.Good Judgement 6.Negotiation and interpersonal skills 7.Verbal and written communication Job Type: Full-time Pay: ₹15,000.00 - ₹40,000.00 per month Benefits: Cell phone reimbursement Health insurance Internet reimbursement Paid sick time Paid time off Provident Fund Work Location: In person Speak with the employer +91 9971554263

Before you apply to a job, select your language preference from the options available at the top right of this page. Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level. Job Description Job Summary This position provides input and support for full systems life cycle management activities (e.g., analyses, technical requirements, design, coding, testing, implementation of systems and applications software, etc.). He/She performs tasks within planned durations and established deadlines. This position collaborates with teams to ensure effective communication and support the achievement of objectives. He/She provides knowledge, development, maintenance, and support for applications. Responsibilities Generates application documentation. Contributes to systems analysis and design. Designs and develops moderately complex applications. Contributes to integration builds. Contributes to maintenance and support. Monitors emerging technologies and products. Primary Skills 4-7 years of experience as full stack developer. C#/Dotnet Framework and Dotnet Core Framework - MVC, Entity Framework Web-Development (ASP.NET/Angular) Database (MS SQL) REST API (Micro/Webservices), Web API Secondary Skills Cloud Development - Azure Functions, Graph API Azure DevOps (CI/CD) Qualifications 4-7 years of experience as full stack developer. Bachelor's Degree or International equivalent in Computer Science, Information Systems, Mathematics, Statistics or related field Employee Type Permanent UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.

Role Overview: We are seeking researchers with strong mathematical and analytical backgrounds to assist in fine-tuning and evaluating large language models (LLMs). Your work will help LLMs improve their ability to understand and solve complex math problems, such as multi-step algebra or logic questions. Research Objectives As a contributor to this research-focused initiative, you may be asked to complete the following or similar tasks: Determine the number of real 5×55 \times 55×5 symmetric matrices of rank 2 whose entries are only 0 or 1. How many subsets of a 10-element set exist such that the characteristic vector of each subset has Hamming weight exactly 3? How many distinct 10-digit numbers exist where the sum of the digits is divisible by 3, and each digit is either 0 or 1? These tasks are designed to find model weaknesses and improve training and evaluation workflows. Candidate Profile Academic Background: Enrolled in or completed a PhD/Postdoc in Mathematics, Applied Mathematics, Statistics, or a related field. Analytical Skills: Strong ability to solve advanced math problems with clear and structured reasoning. Communication Skills: Clarity in explaining complex topics and providing feedback with precision. Research Independence: Ability to work independently in a remote research environment and participate actively in team discussions.. Technical Setup : Access to a reliable computer and internet setup to participate in remote assignments. Note: This position is open only to candidates who have completed or are currently pursuing a Ph.D.; applications that do not meet this criterion will not be considered. Time Commitment & Contract Details Commitments Required : at least 4 hours per day and minimum 20 hours per week with 4 hours of overlap with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week, or 40 hrs/week) Engagement type : Contractor assignment/freelancer (no medical/paid leave) Duration of contract: 1 month; [expected start date is next week] Selection Process: Task-based assessment for shortlisted candidates, followed by a contract offer with defined timelines and workload. About Turing Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Why work with Turing? Work on research that directly impacts the future of language model performance in mathematics and STEM. Collaborate with a global network of experts shaping next-generation AI benchmarks. Gain exposure to cutting-edge model evaluation strategies in an academic–industry hybrid setting.

Before you apply to a job, select your language preference from the options available at the top right of this page. Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level. Job Description Job Summary This position provides input and support for full systems life cycle management activities (e.g., analyses, technical requirements, design, coding, testing, implementation of systems and applications software, etc.). He/She performs tasks within planned durations and established deadlines. This position collaborates with teams to ensure effective communication and support the achievement of objectives. He/She provides knowledge, development, maintenance, and support for applications. Responsibilities Generates application documentation. Contributes to systems analysis and design. Designs and develops moderately complex applications. Contributes to integration builds. Contributes to maintenance and support. Monitors emerging technologies and products. Primary Skills 4-7 years of experience as full stack developer. C#/Dotnet Framework and Dotnet Core Framework - MVC, Entity Framework Web-Development (ASP.NET/Angular) Database (MS SQL) REST API (Micro/Webservices), Web API Secondary Skills Cloud Development - Azure Functions, Graph API Azure DevOps (CI/CD) Qualifications 4-7 years of experience as full stack developer. Bachelor's Degree or International equivalent in Computer Science, Information Systems, Mathematics, Statistics or related field Employee Type Permanent UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.

Avant de postuler à un emploi, sélectionnez votre langue de préférence parmi les options disponibles en haut à droite de cette page. Découvrez votre prochaine opportunité au sein d'une organisation qui compte parmi les 500 plus importantes entreprises mondiales. Envisagez des opportunités innovantes, découvrez notre culture enrichissante et travaillez avec des équipes talentueuses qui vous poussent à vous développer chaque jour. Nous savons ce qu’il faut faire pour diriger UPS vers l'avenir : des personnes passionnées dotées d’une combinaison unique de compétences. Si vous avez les qualités, de la motivation, de l'autonomie ou le leadership pour diriger des équipes, il existe des postes adaptés à vos aspirations et à vos compétences d'aujourd'hui et de demain. Job Summary Fiche de poste : This position provides input and support for full systems life cycle management activities (e.g., analyses, technical requirements, design, coding, testing, implementation of systems and applications software, etc.). He/She performs tasks within planned durations and established deadlines. This position collaborates with teams to ensure effective communication and support the achievement of objectives. He/She provides knowledge, development, maintenance, and support for applications. Responsibilities Generates application documentation. Contributes to systems analysis and design. Designs and develops moderately complex applications. Contributes to integration builds. Contributes to maintenance and support. Monitors emerging technologies and products. Primary Skills 4-7 years of experience as full stack developer. C#/Dotnet Framework and Dotnet Core Framework - MVC, Entity Framework Web-Development (ASP.NET/Angular) Database (MS SQL) REST API (Micro/Webservices), Web API Secondary Skills Cloud Development - Azure Functions, Graph API Azure DevOps (CI/CD) Qualifications 4-7 years of experience as full stack developer. Bachelor's Degree or International equivalent in Computer Science, Information Systems, Mathematics, Statistics or related field Type De Contrat en CDI Chez UPS, égalité des chances, traitement équitable et environnement de travail inclusif sont des valeurs clefs auxquelles nous sommes attachés.

Bhubaneswar, India Job Category : Data Scientist Posting Date : 01 January 2024 Job Type : Engineering Years of Experience : 5 Does this position require a security clearance? No Applicants are required to read,write and speak the following languages Hindi/English Additional Info : Job Description Are you seeking your next career advancement? At our company, we present thrilling prospects for skilled professionals in a diverse range of job fields and positions. Come on board with us to create remarkable achievements. We take pride in being the fastest-growing enterprise resource planning platform, attracting new customers to our advanced system for expediting their business processes. Our teams diligently contribute towards our triumph, each with a crucial role to fulfill. Responsibilities Develop and create AI/ML based predictive solutions and enhance or upgrade existing ones. Collaborate and communicate effectively with various teams within Nirmalya. Establish strong partnerships with business representatives to fully grasp their requirements. Engage proficiently with other teams and individuals. Proficient in programming languages like Python. Exceptional verbal and written English communication abilities. Outstanding troubleshooting and problem-solving skills. Possess a curious mindset to tackle exciting new subjects. Display a high level of curiosity, motivation, and eagerness to learn new technologies. Valuable team player with fast learning abilities. Encouraged to contribute own ideas and perspectives openly. Qualifications Bachelor's or higher degree in computer science or a related technical/scientific discipline. Strong analytical skills required, including a thorough understanding of how to interpret customer business needs and translate them into solutions and operational requirements. Excellent verbal and written communication skills and the ability to interact professionally with a diverse group, executives, managers, and subject matter experts. Required Skills Proficiency in mathematics, statistics, computer science, or related fields is required. Preferably, expertise in linear algebra, calculus, and statistics. In-depth knowledge of data science and predictive methodologies is essential. Familiarity with agile working methodologies such as SAFe, SCRUM, KANBAN, etc. is advantageous. Capable of managing multiple projects simultaneously. Additional programming skills are highly advantageous (optional). Disclaimer Hiring Range: from 1000000 to 2250000 per annum. May be eligible for bonus and equity. We maintain broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Nirmalya’s differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. About Us Nirmalya's career has the potential to encompass various industries, roles, countries, and cultures, allowing for growth in novel positions and driving innovation, while effectively balancing work and personal life. Nirmalya has achieved success over the years by embracing change, fostering innovation, and consistently upholding ethical principles, thereby delivering exceptional results for leading companies across multiple industries.To foster and support the talents responsible for such accomplishments, our dedication lies in cultivating an inclusive culture that appreciates and embraces diverse insights and perspectives. We strive to create a workforce that inspires thought leadership and sparks innovation, ensuring a thriving environment for all. Nirmalya Employee Benefits are meticulously designed to prioritize equality, reliability, and affordability. Our comprehensive package encompasses essential features such as Medical and Life Insurance, while also granting access to Retirement Planning and more. Additionally, we actively encourage our employees to actively contribute to the well-being of the communities where we operate. We firmly believe that fostering diversity and inclusion lays the foundation for innovation. To shape a brighter tomorrow, we seek talent from diverse backgrounds, embracing a range of perspectives and abilities. We are committed to providing reasonable accommodations to individuals with disabilities throughout the job application, interview, and prospective role stages, thereby enabling them to effectively perform crucial job functions. Our dedication lies in fostering an inclusive workforce that enables every individual to thrive. We believe in the power of diverse perspectives and value every voice, as it is this harmony that propels us to surpass previous achievements. As an Equal Employment Opportunity Employer, Nirmalya ensures that all applicants are treated fairly and without discrimination. We promote equality regardless of race, color, religion, national origin, gender identity, disability, protected veterans’ status, or any other characteristic protected by law. Additionally, Oracle complies with applicable legislation by considering qualified applicants with arrest and conviction records for employment opportunities. Join our team where diversity is celebrated, and everyone's unique contribution is respected. Together, we embrace innovation and strive towards excellence – a testament to our commitment to fostering an inclusive and thriving workplace.

Performance Marketing Analyst About Us: Pro-To-Grow is a fast-growing D2C baby food & nutrition brand dedicated to providing safe, healthy, and science-backed nutrition solutions for children. Role Overview: Looking for a Performance Marketing Analyst to manage and optimize digital campaigns across Google, Meta, and other channels to drive customer acquisition and growth. Job Responsibilities: Plan, execute & optimize paid campaigns (Google Ads, Meta Ads, Affiliate). Track and analyze KPIs – CAC, ROAS, CPL, CVR, LTV. Conduct A/B testing for creatives, audiences & landing pages. Research parent-focused consumer insights & competitor trends. Collaborate with content, design & product teams for high-performing campaigns. Build dashboards & ensure compliance with baby food/nutrition ad guidelines. Job Requirements: Bachelor’s degree in Marketing/Business/Statistics or related field. 3–4 years of experience in D2C performance marketing (FMCG, baby care, nutrition preferred). Strong knowledge of Google Ads, Meta Ads & Analytics tools. Advanced Excel/Sheets skills; data-driven mindset. Passion for working in baby food & nutrition, with focus on trust and compliance. KPIs to Own: Customer Acquisition Cost (CAC) Return on Ad Spend (ROAS) Conversion Rate (CVR) Revenue growth from digital campaigns Salary : upto 6LPA Job Type: Full-time Pay: ₹40,000.00 - ₹50,000.00 per month Benefits: Health insurance Paid sick time Work Location: In person

We are looking for a passionate and dedicated Maths Teacher to join our team, teaching Mathematics to students in grades 7–12. Freshers are welcome to apply. The role involves developing lesson plans, delivering engaging mathematics lessons, and assessing student progress in areas such as algebra, geometry, trigonometry, statistics, and calculus. Responsibilities also include preparing practice material, managing classroom behavior, supporting students with different learning needs, and fostering a positive learning environment. Collaboration with colleagues and participation in professional development activities are essential aspects of the position. Qualifications: Bachelor’s degree in Mathematics, Education, or a related field. Freshers with a strong interest in teaching and mathematics are encouraged to apply. Valid teaching certification (Secondary Education/Mathematics) is a plus but not required. Good communication, organizational, and interpersonal skills. Job Types: Part-time, Permanent, Fresher Pay: From ₹9,000.00 per month Ability to commute/relocate: Khadki, Pune, Maharashtra: Reliably commute or planning to relocate before starting work (Preferred) Experience: total work: 1 year (Preferred) Work Location: In person

The Global Data Insights and Analytics (GDI&A) department at Ford Motor Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization. The goal of GDI&A is to drive evidence-based decision making by providing insights from data. Applications for GDI&A include, but are not limited to, Connected Vehicle, Smart Mobility, Advanced Operations, Manufacturing, Supply chain, Logistics, and Warranty Analytics. Potential candidates should have hands-on experience in applying first principles methods, machine learning, data mining, and text mining techniques to build analytics prototypes that work on massive datasets. Candidate should have proficiency in Python, expertise in Entity extraction, document classification, Natural Language Processing (NLP) & Natural Language Generation (NLG). Experience of developing commonly used predictive models like - Linear Regression, Decision Trees, SVM. KNN, Gradient Boost, Random Forest etc. Proficiency in cloud platforms like GCP, including experience with deploying AI applications. Solid programming skills in Python and experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Proven track record of delivering successful Gen-AI projects and driving business impact. Strong understanding of text pre-processing & normalization techniques such as tokenization Excellent communication, presentation, and documentation skills. Strong problem-solving abilities and a proactive attitude towards learning and adopting new technologies. BE, B.Tech, M.S. or Ph.D. in Engineering, Computer Science, Operations research, Statistics, Applied mathematics, or in a related field 3+ years of experience in at least one of the following languages: Python, R 3+ years of hands-on experience in using machine learning/text mining tools and techniques such as Clustering/classification/decision trees, Random forests, Support vector machines, Deep Learning, Neural networks, Reinforcement learning, and other numerical algorithms 1+ years of experience in developing LLM solutions for Enterprise Experience with Google Cloud Platform (GCP) including Vertex AI, Big Query, DBT, NoSQL database and Hadoop Ecosystem Excellent problem solving, communication, and data presentation skills Build data-driven models to understand the characteristics of engineering systems Apply machine learning, data mining and text mining techniques to create scalable solutions for business problems Train, tune, validate, and monitor predictive models Analyze and extract relevant information from large amounts of historical business data especially related to quality, product development, and connected vehicles, both in structured and unstructured formats Establish scalable, efficient, automated processes for large scale data analyses Package and present the findings and communicate with large cross-functional teams

Summary: In new product design roles: develops and programs integrated software algorithms to structure, analyze and leverage data in product and systems applications in both structured and unstructured environments. Develops and communicates descriptive, diagnostic, predictive and prescriptive insights/algorithms. In product/systems improvement projects Duties & Responsibilities: Job Description Summary Need ML Engineer to develop and enhance telecom product. Selected candidate will be working on 'Telecom Artificial Intelligence Product', on the latest cutting edge technologies! We are seeking a highly skilled and experienced Machine Learning Engineer with a strong background in machine learning, deep learning, and extensive experience in implementing advanced algorithms and models to solve complex problems. This role is focused on developing and deploying cutting-edge solutions for anomaly detection, forecasting, event correlation, and fraud detection. Hiring Requirements Job Description You will be playing a key role in the next-gen SaaS product and platform development. Develop production-ready implementations of proposed solutions across different ML and DL algorithms, including testing on live customer data to improve efficacy, and robustness Research and test novel machine learning approaches for analysing large-scale distributed computing applications. End-to-End ML Ops Lifecycle: Implement and manage the full ML Ops lifecycle using tools such as Kubeflow, MLflow, AutoML, and Kserve for model deployment. Model Implementation: Develop and deploy the machine learning models using PyTorch, TensorFlow ensuring high performance and scalability. Distributed Systems: Run and manage PySpark and Kafka on distributed systems with large-scale, non-linear network elements. Proficient in Python programming and experienced with machine learning libraries such as Scikit-Learn and NumPy. Experience in time series analysis, data mining, text mining, and creating data architectures. Processing Approaches: Utilize both batch processing and incremental approaches to manage and analyse large datasets. Algorithm Experimentation: Experiment with multiple algorithms, optimizing hyperparameters to identify the best-performing models. Cloud Knowledge: Execute machine learning algorithms in cloud environments, leveraging cloud resources effectively. Model Retraining: Continuously gather feedback from users, retrain models, and update them to maintain and improve performance. Network Domain Expertise: Quickly understand network characteristics, especially in RAN and CORE domains, to provide exploratory data analysis (EDA) on network data. Transformer Architecture: Implement and utilize transformer architectures and have a strong understanding of LLM models. GAN AI: Apply GAN AI techniques to address network-related use cases and challenges. Build, train, and test multiple machine learning models. Perform hyperparameter tuning on trained models to achieve the best possible results. Make end to end pipelines for machine learning models. Act as an individual contributor within the team. Interact with a cross-functional team of data scientists, software engineers, and other stakeholders. Proven track record of end-to-end machine learning projects. Understanding and experience with leading supervised and unsupervised machine learning methods such as regression, neural networks, deep learning, RNN, LSTM, KNN, Naive Bayes, SVM, decision trees, random forest, gradient boosting, ensemble methods, and text mining. Experience in MLOps is a plus for the deployment of developed models. Work closely with other functional teams to integrate implemented systems into the SaaS platform Suggest innovative and creative concepts and ideas that would improve the overall platform Create use cases with respect to domain for solving a business problem Familiarity with well-known Python packages like Pandas, Numpy, etc., and DL frameworks Keras, TensorFlow, PyTorch. And knowledge of Big Data tools and environment. Knowledge of MySQL/No SQL is an added advantage Experience on end to end ML models deployment in production Proven track record of end-to-end machine learning projects. Understanding and experience with leading supervised and unsupervised machine learning methods such as regression, neural networks, deep learning, RNN, LSTM, KNN, Naive Bayes, SVM, decision trees, random forest, gradient boosting, ensemble methods, and text mining. Experience in MLOps is a plus for the deployment of developed models. Additional Job Description Bachelor's degree in Science/IT/Computing or equivalent 1-3 years of experience in ML Engineering role Significant proficiency/in-depth knowledge in the domain (technology and/or products) Engineering/Mathematics/ Statistics disciplines are acceptable, but candidate must have strong quantitative and applied mathematical skills. Certification courses in Data Science/ML will be an added advantage. In-depth working, beyond coursework, familiarity with statistical techniques and current ML techniques, both supervised and unsupervised learning techniques and other ML Techniques. Implementation experiences and deep knowledge of Classification, Time Series Analysis, Pattern Recognition, Reinforcement Learning, Deep Learning, Dynamic Programming and Optimization. Experience with Telecom Product development with TMF standards preferred Experience testing scalable SaaS platform clear advantage. Pre-Requisites / Skills / Experience Requirements:

Description Are you interested in diving deep into the data and engineering the metrics model that drives continuous improvement for Amazon’s eCommerce systems? Do you have solid problem-solving abilities, metrics-driven decision making and want to solve problems with solutions that will meet the growing worldwide need for Amazon’s products? Then eCommerce Services is the team for you. We are part of building the world's best, most reliable, and most feature-rich eCommerce platform that provides customers the best experience possible and are looking for a top-notch Senior Business Intelligence Engineer. In eCommerce Services (eCS), we build systems that span the full range of eCommerce functionality, from Privacy, Identity, Purchase Experience and Ordering to Shipping, Tax and Financial integration. eCommerce Services manages several aspects of the customer life cycle, starting from account creation and sign in, to placing items in the shopping cart, proceeding through checkout, order processing, managing order history and post-fulfillment actions such as refunds and tax invoices. eCS services determine sales tax and shipping charges, and we ensure the privacy of our customers. Our mission is to provide a commerce foundation that accelerates business innovation and delivers a secure, available, performant, and reliable shopping experience to Amazon’s customers. We are looking for an experienced and technically skilled individual to join our Data Engineering and Analytics team as a Business Intelligence Engineer (BIE). The ideal candidate will be an analytical, results-oriented, self-motivated, and customer-focused Business Intelligence Engineer who will play a key role in continuous improvement for the critical systems that enable our entire retail business. The role will also include surfacing key product metrics as well as building critical data pipelines and analytics tools to improve efficiency and quality of strategic business decisions. Key job responsibilities Defining, developing and maintaining critical business and operational metrics reviewed on a weekly, monthly, quarterly, and annual basis. Analysis of historical data to identify trends and support decision making, including written and verbal presentation of results and recommendations. Collaborating with software development teams to implement analytics systems and data structures to support large-scale data analysis and delivery of reports. Identifying data needs and driving data quality improvement projects. Thought leadership on data mining and analysis. Understanding the broad range of Amazon’s data resources, which to use, how, and when. Mining and manipulating data from database tables, simulation results, and log files. Basic Qualifications 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Experience in Statistical Analysis packages such as R, SAS and Matlab Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field Preferred Qualifications Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Karnataka Job ID: A3044756

Job ID: 32525 Location: Chennai, IN Area of interest: Operations Job type: Regular Employee Work style: Hybrid Working Opening date: 22 Jul 2025 Job Summary Strategy The Business Analyst supports SC’s strategic data management, which interprets regulatory directives, group policies and standards and applies compliant practices that protect the Bank’s assets/reputation. Business Provide business analysis support in delivering the solution for Data Quality Management Treatment Plan and other treatment plans across Records Management and Privacy as the need arises Review business requirement documents and identify data requirements - define the source data sets, mapping & transformation rules, aggregation & reporting requirements etc Analyse and ensure end-to-end data lineage, handshake, dictionary and transformation logic are established and up to date. Identify and document data sources and data consumers. Identify golden sources and recommend data sourcing approach Work closely with Downstream process owner and business risk owner to develop data quality validation rules and data quality maintenance / control where appropriate. Plan and coordinate profiling of data to ascertain data quality and consistency, if required Work with various technology teams to deliver data responsibilities Actively participate in any audit related to data within CPBB Manage end-to-end communications with the user community & stakeholders. Processes Ensure processes are streamlined and any control related issues are flagged timely to process owners and Operation Risk Support in implementation of controls to ensure accuracy of NTB on boarding and ongoing static data updates on ETB Help to design control monitoring to help DQM process owner manage their risk. People and Talent Manage stakeholders efficiently and engage them appropriately from a project support standpoint Risk Management Manage Data Management (DM) related risks (including (but not limited to) Data Quality, Privacy & Secrecy and Records Management) within CPBB Business Participate and perform Risk and Control Self-Assessment (RCSA) on Data Management (DM) related risks within CPBB Business Perform quarterly Residual Risk Assessment (RRA) on CPBB Data Quality Management process Governance Ensure robust project governance of the project at a country, regional and global level Key Responsibilities Regulatory & Business Conduct Display exemplary conduct and live by the Group’s Values and Code of Conduct. Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct. Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters. Key Stakeholders Group/Regional/Country Onboarding/Service Transacting/BRM Operation team, CPBB FCC, CPBB OR, CDO, respective RFO and CPBB Data Other Responsibilities Embed Here for good and Group’s brand and values in WRB COO team; Perform other responsibilities assigned under Group, Country, Business or Functional policies and procedures; Multiple functions (double hats); Skills and Experience Data Management Project Management Financial Reporting (BCBS239 / IFRS9) Stakeholder Management Business Analyst Qualifications EDUCATION Bachelor’s degree or higher - preferably in Accounting, Statistics, and Computer Science or highly relevant equivalent experience is required. TRAINING • Demonstrated experience o In the Finance, Risk and/or Regulatory reporting space for at least 8-10 years o Deep knowledge of the strategic business drivers and operational process requirements o Part of large development or implementation project / consulting organizations supporting complex data management programs in the finance & regulatory reporting space Project management/Business Analysis experience in the data management area. Must be able to enforce deadlines in a fast-paced, deadline driven environment Broad experience with data requirements, data modelling concepts, data integration, master data management, metadata management, enterprise data warehousing (EDW) and business intelligence/analytics, tools, protocols and practices Able to understand and interpret logical and physical data models Attention to detail, good analytical and problem-solving skills and critical thinking are essential Possess leadership capabilities and is able to lead a focused task force Cultural sensitivity and awareness to work with a range of people from diverse background and geographies Good command of English and possess good interpersonal and communication skills Work experience with major transaction processing systems or data warehouses used in SCB is desirable About Standard Chartered We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion. Together we: Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term What we offer In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing. Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. Flexible working options based around home and office locations, with flexible working patterns. Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential. www.sc.com/careers

Freshworks makes it fast and easy for businesses to delight their customers and employees. We do this by taking a fresh approach to building and delivering software that is affordable, quick to implement, and designed for the end user. Headquartered in San Mateo, California, Freshworks has a global team operating from 13 global locations to serve more than 65,000 companies -- from startups to public companies–– that rely on Freshworks software-as-a-service to enable a better customer experience (CRM, CX) and employee experience (ITSM). Freshworks’ cloud-based software suite includes Freshdesk (omnichannel customer support), Freshsales (sales automation), Freshmarketer (marketing automation), Freshservice (IT service desk), Freshchat (AI-powered bots), supported by Neo, our underlying platform of shared services. Freshworks is featured in global national press, including CNBC, Forbes, Fortune, Bloomberg and has been a BuiltIn Best Place to work in San Francisco and Denver for the last 3 years. Our customer ratings have earned Freshworks products TrustRadius Top Rated Software ratings and G2 Best of Awards for Best Feature Set, Best Value for the Price and Best Relationship. Job Description About the role: As a Senior Staff Engineer Data Scientist with a focus on GenAI (Generative Artificial Intelligence), you will be at the forefront of pioneering innovative applications of data science and machine learning in employee engagement and customer support. In this role, you will lead efforts to leverage GenAI techniques to address unique challenges within our company, including intelligently combing through time series data to look for anomalous behaviour through classical ML techniques. Imagine the next generation of IT services being offered not via dashboards or clicks or filters but in an interactive, conversational manner, backed by real-time analysis of the entire streaming data into an operating center. This vision is what you would make into a reality. You will build algorithms that analyze these millions of streaming data points, build a distributed, scalable, and high-performance system to serve the insights to the customer through a next-gen conversational UI/UX. Responsibilities: Strategic Collaboration: Collaborate closely with product and business teams to gain a comprehensive understanding of the challenges and opportunities within the GenAI landscape, aligning data science initiatives with the organisation’s objectives. Metric Definition: Define key performance metrics that accurately reflect the value delivered to end-users through GenAI solutions. Intelligent System Design: Apply deep expertise in machine learning, statistics, and advanced mathematics to conceptualize, experiment, and design intelligent systems powered by GenAI. Big Data Processing: Develop efficient systems capable of processing vast volumes of data, demonstrating proficiency in distributed programming frameworks like Hadoop and Spark. ML/AI Architecture: Collaborate closely with ML Engineers to design scalable systems and model architectures that enable real-time ML/AI services. End-to-End ML Pipelines: Take ownership of ML pipelines from start to finish, encompassing data pre-processing, model generation, cross-validation, and feedback sharing. Qualifications Qualifications: A Bachelor’s degree or higher in Computer Science, Statistics, Mathematics, or a related field, with a minimum of 10 years of relevant work experience. Strong problem-solving and programming skills, coupled with a profound understanding of the mathematical foundations underpinning machine learning algorithms, including probability, statistics, linear algebra, calculus, and optimization. Proven track record of successfully deploying ML projects in production systems with substantial individual contributions. Experience with natural language processing tasks utilizing prompt engineering, LLMs, transformers, and knowledge graphs is highly advantageous. Proficiency in time series analysis, NLP, Distributed Systems, large-scale computing, and Big Data technologies such as Spark is a plus. A solid background in at least 3 of the following areas: Natural language processing, statistical ML techniques, graph algorithms, constraint optimization, signal processing (speech or vision), deep learning, and distributed systems. Proficiency with database systems and schema design, encompassing both SQL and NoSQL databases. Additional Information At Freshworks, we are creating a global workplace that enables everyone to find their true potential, purpose, and passion irrespective of their background, gender, race, sexual orientation, religion and ethnicity. We are committed to providing equal opportunity for all and believe that diversity in the workplace creates a more vibrant, richer work environment that advances the goals of our employees, communities and the business.

Proven Market Research Analysis experience Ability to interpret large amounts of data and to multi-task Strong communication and presentation skills Excellent knowledge of statistical packages (SPSS, SAS or similar), databases and MS Office Search engines, web analytics and business research tools acumen Familiarity with CRM programs Adequate knowledge of data collection methods (polls, focus groups, surveys etc) Working knowledge of data warehousing, modelling and mining Strong analytical and critical thinking BS degree in Statistics, Marketing or related field Job Types: Full-time, Permanent, Fresher Pay: ₹18,086.00 - ₹37,774.42 per month Benefits: Health insurance Provident Fund Work Location: In person

Freshworks makes it fast and easy for businesses to delight their customers and employees. We do this by taking a fresh approach to building and delivering software that is affordable, quick to implement, and designed for the end user. Headquartered in San Mateo, California, Freshworks has a global team operating from 13 global locations to serve more than 65,000 companies -- from startups to public companies–– that rely on Freshworks software-as-a-service to enable a better customer experience (CRM, CX) and employee experience (ITSM). Freshworks’ cloud-based software suite includes Freshdesk (omnichannel customer support), Freshsales (sales automation), Freshmarketer (marketing automation), Freshservice (IT service desk), Freshchat (AI-powered bots), supported by Neo, our underlying platform of shared services. Freshworks is featured in global national press, including CNBC, Forbes, Fortune, Bloomberg and has been a BuiltIn Best Place to work in San Francisco and Denver for the last 3 years. Our customer ratings have earned Freshworks products TrustRadius Top Rated Software ratings and G2 Best of Awards for Best Feature Set, Best Value for the Price and Best Relationship. Job Description About the role: As a Senior Staff Engineer Data Scientist with a focus on GenAI (Generative Artificial Intelligence), you will be at the forefront of pioneering innovative applications of data science and machine learning in employee engagement and customer support. In this role, you will lead efforts to leverage GenAI techniques to address unique challenges within our company, including intelligently combing through time series data to look for anomalous behaviour through classical ML techniques. Imagine the next generation of IT services being offered not via dashboards or clicks or filters but in an interactive, conversational manner, backed by real-time analysis of the entire streaming data into an operating center. This vision is what you would make into a reality. You will build algorithms that analyze these millions of streaming data points, build a distributed, scalable, and high-performance system to serve the insights to the customer through a next-gen conversational UI/UX. Responsibilities: Strategic Collaboration: Collaborate closely with product and business teams to gain a comprehensive understanding of the challenges and opportunities within the GenAI landscape, aligning data science initiatives with the organisation’s objectives. Metric Definition: Define key performance metrics that accurately reflect the value delivered to end-users through GenAI solutions. Intelligent System Design: Apply deep expertise in machine learning, statistics, and advanced mathematics to conceptualize, experiment, and design intelligent systems powered by GenAI. Big Data Processing: Develop efficient systems capable of processing vast volumes of data, demonstrating proficiency in distributed programming frameworks like Hadoop and Spark. ML/AI Architecture: Collaborate closely with ML Engineers to design scalable systems and model architectures that enable real-time ML/AI services. End-to-End ML Pipelines: Take ownership of ML pipelines from start to finish, encompassing data pre-processing, model generation, cross-validation, and feedback sharing. Qualifications Qualifications: A Bachelor’s degree or higher in Computer Science, Statistics, Mathematics, or a related field, with a minimum of 10 years of relevant work experience. Strong problem-solving and programming skills, coupled with a profound understanding of the mathematical foundations underpinning machine learning algorithms, including probability, statistics, linear algebra, calculus, and optimization. Proven track record of successfully deploying ML projects in production systems with substantial individual contributions. Experience with natural language processing tasks utilizing prompt engineering, LLMs, transformers, and knowledge graphs is highly advantageous. Proficiency in time series analysis, NLP, Distributed Systems, large-scale computing, and Big Data technologies such as Spark is a plus. A solid background in at least 3 of the following areas: Natural language processing, statistical ML techniques, graph algorithms, constraint optimization, signal processing (speech or vision), deep learning, and distributed systems. Proficiency with database systems and schema design, encompassing both SQL and NoSQL databases. Additional Information At Freshworks, we are creating a global workplace that enables everyone to find their true potential, purpose, and passion irrespective of their background, gender, race, sexual orientation, religion and ethnicity. We are committed to providing equal opportunity for all and believe that diversity in the workplace creates a more vibrant, richer work environment that advances the goals of our employees, communities and the business.

DESCRIPTION Want to join the Earth’s most customer centric company? Do you like to dive deep to understand problems? Are you someone who likes to challenge Status Quo? Do you strive to excel at goals assigned to you? If yes, we have opportunities for you. Global Operations – Artificial Intelligence (GO-AI) at Amazon is looking to hire candidates who can excel in a fast-paced dynamic environment. Are you somebody that likes to use and analyze big data to drive business decisions? Do you enjoy converting data into insights that will be used to enhance customer decisions worldwide for business leaders? Do you want to be part of the data team which measures the pulse of innovative machine vision-based projects? If your answer is yes, join our team. GO-AI is looking for a motivated individual with strong skills and experience in resource utilization planning, process optimization and execution of scalable and robust operational mechanisms, to join the GO-AI Demand Planning team. In this position you will be responsible for supporting our sites to build complex resource management processes for the rapidly expanding GO-AI business. The role requires the ability to work with a variety of key stakeholders across job functions with multiple sites. The GO-AI Demand planning team is looking for a curious, resourceful, and experienced Demand Planners to join our team of Program Managers and analysts. Our mission is to ensure our customers have the right support at the right time to confidently and effectively grow their business through Amazon. Key job responsibilities Key responsibilities include: 1. Work closely with various stakeholders, including customer, operations and analytics teams to understand the demand patterns for short-term and long-term horizons across GO-AI programs. 2. Develop capacity planning models at multiple levels of aggregation for varied time horizons (short/med/long term) basis various programs demand forecast. Coordinate cross-functional research initiatives to reconcile significant variances, refine the forecast model to reflect updated assumptions and reduce forecast model variance. 3. Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. using automation tools to drive key business decisions. Ensure data accuracy by validating data for new and existing tools. Learn and understand a broad range of Amazon’s data resources and know how, when, and which to use and which not to use. 4. Promote process improvement and standardization across all sites in the network. Identify, develop, manage, and execute analyses to uncover areas of opportunity, present written business recommendations and drive solutions that will help shape the direction of the business. 5. Proficiency in one or more industry analytics visualization tools (e.g. Excel, Tableau/Quicksight/MicroStrategy/PowerBI) and statistical modeling to deliver actionable insights to stakeholder About the team The Global Operations – Artificial Intelligence (GO-AI) team is an initiative, which remotely handles exceptions in the Amazon Robotic Fulfillment Centers Globally. GO-AI seeks to complement automated vision based decision-making technologies by providing remote human support for the subset of tasks which require higher cognitive ability and cannot be processed through automated decision making with high confidence. This team provides end-to-end solutions through inbuilt competencies of Operations and strong central specialized teams to deliver programs at Amazon scale. BASIC QUALIFICATIONS 3+ years of program or project management experience Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent Knowledge of Excel at an intermediate level (e.g., pivot tables & charts, multiple criteria lookups, nested logical/IF formulas, data cleansing, array formulas, etc.) Knowledge of SQL PREFERRED QUALIFICATIONS Master's degree or above in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field Professional experience of 3 years and above in Data analytics Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

An MRD (Medical Records Department) Executive's primary responsibility is to manage and maintain accurate patient medical records, ensuring they are organized, complete, and readily accessible. This role involves tasks like initiating medical records, gathering patient information, ensuring data integrity, and adhering to hospital procedures for record management and confidentiality. They also collaborate with healthcare professionals and departments, address record retrieval requests, and contribute to the overall efficiency of the medical records system. Here's a more detailed breakdown of the key responsibilities:Core Responsibilities: Record Creation and Maintenance: Initiating medical records, collecting patient information, and ensuring the completeness and accuracy of all records. Data Management: Maintaining both paper-based and electronic medical records systems, ensuring data integrity and security. Record Retrieval and Tracking: Handling requests for medical records, tracking chart locations, and managing the retrieval process while adhering to hospital policies. Quality Assurance: Following established procedures to ensure the quality and accuracy of medical records and addressing any discrepancies or incompleteness. Confidentiality and Privacy: Safeguarding patient confidentiality and adhering to all relevant privacy regulations. Collaboration: Working with healthcare providers, administration, and other departments to ensure smooth information flow and address any medical record-related issues. Reporting: Generating reports on medical records activities and statistics as needed by hospital administration. Additional Responsibilities: Staying Updated: Keeping abreast of advancements in health information technology and participating in the implementation of electronic health records (EHR) systems. Training: Providing training to new staff on medical record procedures and relevant software applications. Documentation: Documenting all actions, irregularities, and ongoing needs to maintain continuity of operations. Problem Solving: Addressing any issues or grievances related to medical records, ensuring patient satisfaction. Resource Provision: Acting as a resource for all facility departments regarding medical records. Compliance: Ensuring that medical records are inactivated and disposed of according to hospital policy. Space Management: Ensuring adequate space and resources are available for storing medical records. Job Types: Full-time, Permanent Pay: ₹10,000.00 - ₹15,000.00 per month Education: Diploma (Preferred) Work Location: In person

Introduction: EkVayu Tech is a research focused company having products in the area of Cybersecurity/ AI/ML/DL, Signal Processing, System Engineering and Health-Tech. We are a products company and develop innovative solutions for the Defence sector. Currently, we are developing two products for the Indian Air Force under the iDEX DISC scheme of the Ministry of Defence through iDEX-DIO, having won the open challenge. Job Title: GIS Architect Location: Noida, Sector 62 Employment Type: Full time Department: IT Role Overview: We are seeking a skilled and proactive GIS Engineer to oversee the development and optimization of our GIS based visualisation and 3D/4D data display. The candidate has to collaborate with different team but own the data ingestion/ collating/readiness for visualisation in GIS engine. The ideal candidate will collaborate closely with development teams to enhance productivity, improve software delivery, and ensure robust, scalable infrastructure. Core Skills: Enterprise GIS Design : Ability to design and implement large-scale, multi-country, and cross-environment GIS solutions. GIS Platforms : Expertise in ESRI ArcGIS/ QGIS/Google Earth Engine/ OpenLayers. 3D & 4D Mapping : Skills in creating, managing, and visualizing 3D/4D models of air, sea, and ground environments. Spatial Data Analysis : Proficiency in geospatial analysis and spatial statistics. Vector Data Handling : Managing vector data formats like GeoJSON, Shapefiles, KML, and PostGIS-enabled databases. Temporal Data Visualization : Display of moving images with time-series data for air, sea, underwater, and ground tracking. Languages : Proficiency in Python, R (for spatial statistics), and SQL (for spatial databases). GIS Libraries : Experience with geospatial libraries like GDAL, Geopandas, Leaflet.js, D3.js (for data visualization), and CesiumJS (for 3D globe rendering). API Integration : Familiarity with integrating APIs (like Google Maps, Esri REST, or Mapbox) for data import, export, and visualization. Spatial Databases : Proficiency with PostGIS, Oracle Spatial, and SQL Server with spatial extensions. Data Flow Design : Designing workflows to ingest, clean, process, and visualize geospatial data in real-time. User-Centered Design : Designing intuitive interfaces for displaying vector, raster, and moving images. Job Types: Full-time, Permanent Pay: From ₹600,000.00 per year Benefits: Flexible schedule Experience: total work: 5 years (Required) Work Location: In person

Job Description The Global Data Insights and Analytics (GDI&A) department at Ford Motor Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization. The goal of GDI&A is to drive evidence-based decision making by providing insights from data. Applications for GDI&A include, but are not limited to, Connected Vehicle, Smart Mobility, Advanced Operations, Manufacturing, Supply chain, Logistics, and Warranty Analytics. Potential candidates should have hands-on experience in applying first principles methods, machine learning, data mining, and text mining techniques to build analytics prototypes that work on massive datasets. Candidate should have proficiency in Python, expertise in Entity extraction, document classification, Natural Language Processing (NLP) & Natural Language Generation (NLG). Experience of developing commonly used predictive models like - Linear Regression, Decision Trees, SVM. KNN, Gradient Boost, Random Forest etc. Proficiency in cloud platforms like GCP, including experience with deploying AI applications. Solid programming skills in Python and experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Proven track record of delivering successful Gen-AI projects and driving business impact. Strong understanding of text pre-processing & normalization techniques such as tokenization Excellent communication, presentation, and documentation skills. Strong problem-solving abilities and a proactive attitude towards learning and adopting new technologies. Responsibilities Build data-driven models to understand the characteristics of engineering systems Apply machine learning, data mining and text mining techniques to create scalable solutions for business problems Train, tune, validate, and monitor predictive models Analyze and extract relevant information from large amounts of historical business data especially related to quality, product development, and connected vehicles, both in structured and unstructured formats Establish scalable, efficient, automated processes for large scale data analyses Package and present the findings and communicate with large cross-functional teams Qualifications BE, B.Tech, M.S. or Ph.D. in Engineering, Computer Science, Operations research, Statistics, Applied mathematics, or in a related field 3+ years of experience in at least one of the following languages: Python, R 3+ years of hands-on experience in using machine learning/text mining tools and techniques such as Clustering/classification/decision trees, Random forests, Support vector machines, Deep Learning, Neural networks, Reinforcement learning, and other numerical algorithms 1+ years of experience in developing LLM solutions for Enterprise Experience with Google Cloud Platform (GCP) including Vertex AI, Big Query, DBT, NoSQL database and Hadoop Ecosystem Excellent problem solving, communication, and data presentation skills

Experience: 2.5 + years Considering Ahmedabad based candidate only Position: AI/ML Engineer Experience: 3+ Years Location: Ahmedabad (WFO) Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Minimum of two years of professional experience in developing AI/ML solutions, with a strong track record of successful project delivery. Proficiency in programming languages such as Python / C++ / R / Scala, with experience in building machine learning and deep learning models libraries and frameworks, such as TensorFlow, PyTorch, scikit-learn, Spark MLlib, OpenCV, scipy, nltk, transformers, langchain, etc. Strong foundation of deep learning, computer vision, natural language processing, and generative AI concepts. Solid understanding of machine learning concepts and techniques, including supervised, unsupervised, and reinforcement learning algorithms. Experience with LLMs, training them on custom data, as well as third-party LLM API (like OpenAI API) integrations. Requirements Experience with data preprocessing techniques, feature engineering, EDA, model selection, hyper parameter tuning, and model evaluation. Experience in data analysis and data visualization, the ability to employ statistical techniques, and create dashboards, charts, and visual aids is a plus. Experience in SQL and No SQL databases, such as MySQL, PostgreSQL, MongoDB, etc. Eager to learn new technologies and implement them into products and services. Staying up to date with the latest technologies and tools. Strong analytical and problem-solving skills, with the ability to think critically and creatively to solve complex technical challenges. Excellent communication and collaboration skills, with the ability to interact with stakeholders across different functional areas effectively. Experience working in an Agile development environment and familiarity with DevOps practices for continuous integration and deployment is a plus. Demonstrated ability to work independently and as part of a team, with a proactive and self-motivated attitude toward learning and professional development. Knowledge of Python web frameworks and API frameworks like Django, flask API, fast API, etc is a plus. Experience in ML Ops and cloud platforms is a plus. Benefits 5 Days working Flexible Timing 12 Paid Leaves 12 Official Holidays Festival Celebrations Birthday Celebrations Friendly work Culture Job Type: Full-time Pay: Up to ₹1,300,000.00 per year Work Location: In person

At ABB, we help industries outrun - leaner and cleaner. Here, progress is an expectation - for you, your team, and the world. As a global market leader, we’ll give you what you need to make it happen. It won’t always be easy, growing takes grit. But at ABB, you’ll never run alone. Run what runs the world. This Position reports to: Sales Specialist Your role and responsibilities (Mandatory) In this role, you will have the opportunity to be responsible for the sales of products/systems/services within a designated market/division, in line with the division strategy. Each day, you will achieve both qualitative and quantitative sales targets to ensure sustainable order growth, revenues, profitability, market share, and customer satisfaction. You will also showcase your expertise by identifying and developing new sales opportunities. Work Model- #LI_Onsite This role is contributing to the Motion Business for Services Division in Kolkata , India You will be mainly accountable for: Penetrating IB, promotes various upgrade, retrofit and value add solutions to the benefit of the customer and ABB. Understanding the channel strategy and the establishment of related prices and prepares sales plans, reviews them and proposes recovery plan(s) when needed. Regularly updating in-stalled base with the changes made at site. Utilizing service database to understand the existing installed base (IB), identifying and developing sales opportunities for service products and solutions to penetrate the existing IB/new IBs in the market Generating service sales leads and developing new market opportunities by utilizing market trend information, identifying and exploring potential new service portfolios Establishing long term customer relationships by understanding customer requirements and applicable regulations and Demonstrating in-depth technical service product/solutions knowledge to promote Life Cycle Management (LCM) • Selling entire service product portfolio to expand ABB footprint in the designated area(s). Charting out and monitoring sales proposals, tenders and follows up proposal statistics. Pre-paring ABB’s service offerings based on customer need and in coordination with the local Ser-vice Sales Manager Preparing sales plans using company tools. Performing regular status reviews and proposes recovery plan(s) in cases of potential order shortfall Qualifications for the role Diploma/Engineering in electricals/electronics Require more than 5 years of experience in service sales Good knowledge on variable frequency drives (low or medium Voltage VFDs) Motors and Generators/Alternators (LT and HT) Industries and various applications & Proficiency in Microsoft Office, Salesforce.com/ MS PowerPoint More about us ABB Motion Services serve customers around the globe with innovative services to maximize performance, uptime and energy efficiency throughout the lifetime of electrical motion solutions. Electrical motion is applied everywhere in industries, cities, infrastructure and transportation and is a cornerstone of the energy revolution. Our people and culture are the foundation of our success. We drive innovations through digitalization and make the difference for our customers and partners every day. ABB Motion keeps the world turning, while saving energy every day. We value people from different backgrounds. Could this be your story? Apply today or visit www.abb.com to read more about us and learn about the impact of our solutions across the globe. Fraud Warning: Any genuine offer from ABB will always be preceded by a formal application and interview process. We never ask for money from job applicants. For current open positions you can visit our career website https://global.abb/group/en/careers and apply. Please refer to detailed recruitment fraud caution notice using the link https://global.abb/group/en/careers/how-to-apply/fraud-warning.

Overview Hyland Software is widely known as a great company to work for and a great company to do business with. Being a leader in providing software solution for managing content, processes, and cases for organizations across the globe we enabled more than 20,000 organizations to digitalize their workplaces and transform their operations. Currently we are looking Front End Developer 2. What you will be doing The Design System Developer is responsible for the overall performance of the Design System through applying principles of software engineering to the design, development, maintenance, testing, and evaluation of the Design System. The Design System Developer ensures timely delivery of high-quality components within the release timelines and guidelines. Develop complex code based on functional specifications across teams and programs, complete logic, and algorithm design in alignment with established standards Maintain and improve codebase data design and best practices including (but not limited to) performance security reliability and deliverability and quality attributes Understand and contribute to the architecture of the Design System; create initial implementation standards and guidelines for components that allow teams or programs to begin implementing them based on the technical specifications Perform complex peer code review and analysis; provide insight on broader impact of software changes Operate as an innovative thought leader and trusted advisor across teams and programs; contribute significantly to the overall growth and quality of the department through knowledge sharing influence of architectural design and coaching on current best practices and market trends Identify and articulate the business value and broader impact of software changes to internal and external stakeholders; contribute to the prioritization Design, contribute to, and lead the implementation of delivery pipeline including test automation security and performance Create development standards to ensure compliance with product and industry practices and regulations Ability to interview for requirements, plan and deliver independently Ability to mentor entry level and mid-level teammates, review PRs and advise accordingly Comfortable discussing and documenting design options and decisions within their team and with software architects. Comply with all corporate and departmental privacy and data security policies and practices, including but not limited to, Hyland’s Information Systems Security Policy. What will make you successful Min 5 + yrs of experience . A passion for systems thinking, reuse, and extensibility. Experience working on an enterprise grade Design System. Proficient in Angular and RxJS + (the new modern Angular features), and their best practices Skilled in Javascript fundamentals S killed in Typescript Working knowledge of HTML and CSS Familiarity with SCSS Deep knowledge of Design Patterns Deep knowledge of Clean Coding principles Familiarity with GIT Experienced in writing unit tests Familiarity with SOLID principles Experienced in writing integration or acceptance tests Documentation skills Preferred Competencies Basic familiarity with Node.js Basic familiarity with Nx ecosystem Basic familiarity with Github Actions and Workflows Familiarity with Web Accessibility Minimum Qualifications Master's degree or equivalent experience Significant experience overseeing complex systems analysis design and development programs Significant experience with data structures algorithms and software design Experience with continuous software delivery Significant demonstrated experience with build environments and delivery pipelines Experience with test automation and continuous integration tools Expertise providing guidance and support to developing technical skills of team members Significant experience in software application testing tools methodologies and process framework Excellent oral and written communications skills that demonstrate a professional demeanor and the ability to interact with executive presence Excellent collaboration skills applied successfully within team as well as with all levels of employees in other areas Excellent critical thinking and problem-solving skills Self-motivated with the ability to manage projects to completion independently Ability to work independently and in a team environment Excellent attention to detail Driven to learn and stay current professionally Passionate competitive and intellectually curious Sharp fast learner with technology curiosity and aptitude Demonstrated ability to influence motivate and mobilize team members business partners and program leadership Strong ability to establish rapport and gain the trust of others; effective at gaining consensus Excellent at developing and using original thinking to translate goals into the implementation of new ideas and design solutions Demonstrated ability to provide technical and constructive feedback to team members Demonstrated leadership in mentoring small teams in the process of conceptualizing designing implementing and shipping quality deliverables Ability to provide guidance and support to developing team members Up to 10% travel time required Hyland’s Offering We’re proud of our culture and take employee engagement seriously. By listening to employees’ feedback, we’re able to provide meaningful benefits and programs to our workforce. Learning & Development - development budget (used for certifications, conferences etc..), tuition assistance program, 4,000+ self-paced online courses, instructor-led webinars, mentorship programs, structured on-boarding experience full of trainings, dedicated Learning & Development department supporting our employees. R&D focus – cutting edge technologies, constant modernization efforts, dynamic and innovative environment, dedicated R&D Education Services department to help you grow. Work-life balance culture – flexible work environment and working hours (we are working in task-based system!), possibility to work from home, we value trust, and we believe efficiency does not depend on your actual location, however we would like to spend time together in the office! Well-being - private medical healthcare, life insurance, gym reimbursement. Community Engagement – Volunteer time off (12h/year). Niceties & Events – snacks and beverages, employee referral program, birthday, baby gifts. If you would like to join the company where honesty, integrity and fairness lie in the bottom of values, where people are truly passionate about technology and dedicated to their work – connect with us! We are committed to a policy of Equal Employment Opportunity and will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin or ancestry, sex, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, marital status, gender identity or any other legally recognized protected basis under federal, state or local laws, regulations or ordinances. The information collected by this application is solely to determine suitability for employment, verify identity and maintain employment statistics on applicants.

Description You will work as part of project teams that focus on performing actuarial valuations of our clients’ employee benefits provisions. Supported by experienced consultants, you will build your actuarial and client-facing skills, as well as your knowledge of retirement valuation processing in areas like: Accounting for employee benefits, including pensions, long-term awards and gratuity leave Designing and modelling employee retirement plans for clients Advising companies on governance and best practice relating to the administration of their retirement plans You will also take on challenges in the following key areas: Clients Support all stages of actuarial, trust, and insurer consulting engagements — from data validation to final client deliverables. Develop a strong understanding of the Indian and international accounting standards, as well as the broader retirement benefits landscape. Contribute to special projects involving advanced data analytics and client interactions. Assist senior team members in project planning, coordination, and timely delivery. Ensure all work meets high standards of quality and consistently exceeds client expectations. Identify opportunities to enhance our processes and deliver more efficiently Excellence Collaborate with colleagues to prepare accurate, comprehensive deliverables for key clients. Build in-depth knowledge of retirement benefit plans, funding strategies, and regulatory frameworks. Develop familiarity with the data, systems, and methodologies used in actuarial valuations and broader consulting assignments. Prepare well-structured, high-quality draft reports for review by senior analysts and consultants People Building strong colleague relationships and collaborating in cross-functional teams Communicating effectively with colleagues and clients at all levels Share knowledge and mentor interns, contributing to a culture of continuous learning and support. Qualifications To start building your future career with us, you will need to be: Currently in your final year of graduation and pursuing a bachelor’s degree in Commerce, Economics, Mathematics, Statistics, Business, any Engineering or an analytical subject An excellent communicator both verbally and in writing Able to manage multiple projects and time effectively An analytical thinker with strong research skills A self-driven achiever who values teamwork, collaboration, decisiveness and integrity Proactive in meeting clients’ needs Able to go beyond the details and see the big picture Eager to gain and share new information and knowledge Able to build and manage relationships Comfortable working with Microsoft Office, particularly Excel The application process Stage 1: Online application and recruiter review Stage 2: Pre-recorded video interview Stage 3: Technical interview with hiring manager and team Stage 4: Final Interview Stage 5: Offer and onboarding We’re committed to equal employment opportunity and provide application, interview and workplace adjustments and accommodations to all applicants. If you foresee any barriers, from the application process through to joining WTW, please email candidate.helpdesk@willistowerswatson.com .

Job Description: Campus Hires for Data Scientist / Machine Learning Engineer Role Overview: We are seeking a highly talented with strong academic credentials in Data Science specialization areas. Good exposure to Data science life cycle with academic project experience on how to examine, statistically interpret, and derive meaningful insights from large sets of data. In this role, your responsibilities include extracting and processing information to find patterns and trends, using technology to analyse data, and creating a solution using machine-learning algorithm or predictive model for data analysis. You will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and latest trends and cutting-edge AI models capabilities. Responsibilities: Your technical responsibilities: Contribute to the design and build of state-of-the-art AI solutions. Effective Communication with stakeholders to define and implement AI project goals. Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. Conduct research and evaluation of advanced AI techniques. Ensure compliance with data privacy, security, and ethical considerations in AI applications. Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs. Requirements: Bachelor or Master Degree in Engineering (or equivalent) with specialization to Data Science or AI/ML, Statistics, Economics, or related fields. Minimum one academic project in Data Science and Machine Learning. Excellent track record in each semester In-depth knowledge of machine learning, deep learning, and generative AI techniques. Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch. Good to Have Skills: Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. Exposure to any of the AI cloud platforms Excellent track record on participation to various AI forums (internal or external) Strong credentials with good coding standard followed in Git repository. Job Description: Intern for Data Scientist / Machine Learning Engineer Role Overview: We are seeking a highly talented with strong academic credentials in Data Science specialization areas. Good exposure to Data science life cycle with academic project experience on how to examine, statistically interpret, and derive meaningful insights from large sets of data. In this role, your responsibilities include extracting and processing information to find patterns and trends, using technology to analyse data, and creating a solution using machine-learning algorithm or predictive model for data analysis. You will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and latest trends and cutting-edge AI models capabilities. Responsibilities: Your technical responsibilities: Contribute to the design and build of state-of-the-art AI solutions. Effective Communication with stakeholders to define and implement AI project goals. Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. Conduct research and evaluation of advanced AI techniques. Ensure compliance with data privacy, security, and ethical considerations in AI applications. Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs. Requirements: Bachelor or Master Degree in Engineering (or equivalent) with specialization to Data Science or AI/ML, Statistics, Economics, or related fields. On Last Semester or 2nd last Semester. Excellent track record in each semester In-depth knowledge of machine learning, deep learning, and generative AI techniques. Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch. Good to Have Skills: Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. Exposure to any of the AI cloud platforms Excellent track record on participation to various AI forums (internal or external) Strong credentials with good coding standard followed in Git repository.

AI Engineer (2–3 Years, On-site in Udaipur) Location: Udaipur (On-site) Experience Required: 2–3 Years Salary: As per industry standards (No bar for the right candidate, based on interview) Contact: 8905626784 About the Role: We are looking for a mid-level AI Engineer with expertise in Python, SQL, and Mathematics to join our on-site team in Udaipur. If you are passionate about language processing and eager to design impactful AI solutions, we’d love to connect. Key Responsibilities: Design, develop, and optimize AI models focused on natural language processing (NLP). Write clean, efficient, and scalable Python code. Use SQL for data extraction, manipulation, and analysis. Apply mathematical and statistical techniques to improve model accuracy and efficiency. Collaborate with cross-functional teams to deploy AI solutions. Stay updated with the latest trends in AI, NLP, and data science. Required Skills: Strong proficiency in Python for machine learning and scripting. Excellent command over SQL for data handling and analysis. Solid foundation in mathematics, statistics, and data structures . Familiarity with ML libraries like scikit-learn, TensorFlow, PyTorch (preferred). Experience with language models, text analysis, or NLP projects is a plus. Qualifications: Bachelor’s/Master’s in Computer Science, Mathematics, Engineering , or related field. 2–3 years of relevant industry experience in AI/ML engineering. This is a full-time on-site role in Udaipur. No bar for the right candidate. For more details, contact: 8905626784 Job Types: Full-time, Permanent Work Location: In person