WANTED MATHS FOUNDATION TEACHER ( VI TO X) DNU SMBM NATIONAL PUBLIC SCHOOL Job Description As an IIT FOUNDATION Faculty for Maths, you will be responsible for delivering high-quality mathematics education and preparing students for the IIT examinations. You will design and implement effective curricula, evaluate student performance, and provide guidance and mentorship to help students achieve their academic goals. Design and deliver comprehensive mathematics lesson plans tailored to IIT exam requirements. Create and administer periodic assessments to evaluate student progress. Provide one-on-one tutoring and mentorship to students who need extra help. Stay updated with the latest IIT exam patterns and syllabus changes. Foster a positive and engaging learning environment. Collaborate with other faculty members to enhance the overall educational experience. Participate in faculty meetings and professional development sessions. Qualifications Master's degree in Mathematics or related field. Proven experience teaching mathematics, preferably for IIT FOUNDATION or similar competitive exams. Excellent communication and interpersonal skills. Ability to motivate and inspire students. Patience and dedication to student success. Forward resume to : hr@smbcbseschool.com or whatsapp : 6384446704 Job Types: Full-time, Permanent Pay: ₹20,000.00 - ₹45,000.00 per month Benefits: Health insurance Provident Fund Schedule: Day shift Supplemental Pay: Performance bonus Yearly bonus Work Location: In person

Job Description Responsible to assemble large, complex sets of data that meet non-functional and functional business requirements. Responsible to identify, design and implement internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes. Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using Azure, Databricks and SQL technologies Responsible for the transformation of conceptual algorithms from R&D into efficient, production ready code. The data developer must have a strong mathematical background in order to be able to document and maintain the code Responsible for integrating finished models into larger data processes using UNIX scripting languages such as ksh, Python, Spark, Scala, etc. Produce and maintain documentation for released data sets, new programs, shared utilities, or static data. This must be done within department standards Ensure quality deliverables to clients by following existing quality processes, manually calculating comparison data, developing statistical pass/fail testing, and visually inspecting data for reasonableness: the requirement is on-time with zero defects Qualifications Education/Training B.E./B.Tech. with a major in Computer Science, BIS, CIS, Electrical Engineering, Operations Research or some other technical field. Course work or experience in Numerical Analysis, Mathematics or Statistics is a plus Hard Skills Proven experience working as a data engineer Highly proficient in using the spark framework (python and/or Scala) Extensive knowledge of Data Warehousing concepts, strategies, methodologies. Programming experience in Python, SQL, Scala Direct experience of building data pipelines using Apache Spark (preferably in Databricks), Airflow. Hands on experience designing and delivering solutions using Azure including Azure Storage, Azure SQL Data Warehouse, Azure Data Lake Experience with big data technologies (Hadoop) Databricks & Azure Big Data Architecture Certification would be plus Must be team oriented with strong collaboration, prioritization, and adaptability skills required Ability to write highly efficient code in terms of performance / memory utilization Basic knowledge of SQL; capable of handling common functions Experience Minimum 5 -8 year of experience as Data engineer Experience modeling or manipulating large amounts of data is a plus Experience with Demographic, Retail business is a plus Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion

Hiring "PGT Mathematics Teacher", CBSE International School Qualification_ MSc, Bed [Mathematics] Experience_ 2 to 4 Years CBSE Board MUST Grade_ 11th to 12th Skill_ Good communication and Subject Knowledge Location_ Sathyamangalam, Erode, Tamil Nadu Providing_ Free Bachelor or Family accommodation will be provided Joining_ Immediately Job Types: Full-time, Permanent Pay: ₹35,000.00 - ₹55,000.00 per month Benefits: Health insurance Provident Fund Schedule: Morning shift Supplemental Pay: Performance bonus Yearly bonus Work Location: In person

Faculties required for teaching Class 9, 10, 11 & 12 Roles & Responsibilities: Preparation & Delivery at the institute premises Tutor the students at their home as a personal tutor Keep a track of students' class work and homework on an ongoing basis Organize doubt solving sessions and extra classes, if requested by students Engage with parents along with Sales team to explain institute pedagogy and address queries about program design and objectives Job Types: Full-time, Part-time, Fresher Pay: ₹20,000.00 - ₹80,000.00 per month Expected hours: 54 per week Schedule: Fixed shift Supplemental Pay: Overtime pay Performance bonus Yearly bonus Application Question(s): This job entails home tutoring, Are you willing to travel? Education: Bachelor's (Required) Work Location: In person

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Objectives and Purpose The Senior Data Engineer ingests, builds, and supports large-scale data architectures that serve multiple downstream systems and business users. This individual supports the Data Engineer Leads and partners with Visualization on data quality and troubleshooting needs. The Senior Data Engineer will: Clean, aggregate, and organize data from disparate sources and transfer it to data warehouses. Support development testing and maintenance of data pipelines and platforms, to enable data quality to be utilized within business dashboards and tools. Create, maintain, and support the data platform and infrastructure that enables the analytics front-end; this includes the testing, maintenance, construction, and development of architectures such as high-volume, large-scale data processing and databases with proper verification and validation processes. Your Key Responsibilities Data Engineering Develop and maintain scalable data pipelines, in line with ETL principles, and build out new integrations, using AWS native technologies, to support continuing increases in data source, volume, and complexity. Define data requirements, gather, and mine data, while validating the efficiency of data tools in the Big Data Environment. Lead the evaluation, implementation and deployment of emerging tools and processes to improve productivity. Implement processes, systems to provide accurate and available data to key stakeholders, downstream systems, & business processes. Mentor and coach staff data engineers on data standards and practices, promoting the values of learning and growth. Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions. Support standardization, customization and ad hoc data analysis and develop the mechanisms to ingest, analyze, validate, normalize, and clean data. Write unit/integration/performance test scripts and perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues. Implement processes and systems to drive data reconciliation and monitor data quality, ensuring production data is always accurate and available for key stakeholders, downstream systems, and business processes. Lead the evaluation, implementation and deployment of emerging tools and processes for analytic data engineering to improve productivity. Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes. Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics. Solve complex data problems to deliver insights that help achieve business objectives. Implement statistical data quality procedures on new data sources by applying rigorous iterative data analytics. Relationship Building and Collaboration Partner with Business Analytics and Solution Architects to develop technical architectures for strategic enterprise projects and initiatives. Coordinate with Data Scientists to understand data requirements, and design solutions that enable advanced analytics, machine learning, and predictive modelling. Support Data Scientists in data sourcing and preparation to visualize data and synthesize insights of commercial value. Collaborate with AI/ML engineers to create data products for analytics and data scientist team members to improve productivity. Advise, consult, mentor and coach other data and analytic professionals on data standards and practices, promoting the values of learning and growth. Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions. Skills And Attributes For Success Technical/Functional Expertise Advanced experience and understanding of data/Big Data, data integration, data modelling, AWS, and cloud technologies. Strong business acumen with knowledge of the Pharmaceutical, Healthcare, or Life Sciences sector is preferred, but not required. Ability to build processes that support data transformation, workload management, data structures, dependency, and metadata. Ability to build and optimize queries (SQL), data sets, 'Big Data' pipelines, and architectures for structured and unstructured data. Experience with or knowledge of Agile Software Development methodologies. Leadership Strategic mindset of thinking above the minor, tactical details and focusing on the long-term, strategic goals of the organization. Advocate of a culture of collaboration and psychological safety. Decision-making and Autonomy Shift from manual decision-making to data-driven, strategic decision-making. Proven track record of applying critical thinking to resolve issues and overcome obstacles. Interaction Proven track record of collaboration and developing strong working relationships with key stakeholders by building trust and being a true business partner. Demonstrated success in collaborating with different IT functions, contractors, and constituents to deliver data solutions that meet standards and security measures. Innovation Passion for re-imagining new solutions, processes, and end-user experience by leveraging digital and disruptive technologies and developing advanced data and analytics solutions. Advocate of a culture of growth mindset, agility, and continuous improvement. Complexity Demonstrates high multicultural sensitivity to lead teams effectively. Ability to coordinate and problem-solve amongst larger teams. To qualify for the role, you must have the following: Essential Skillsets Bachelor’s degree in Engineering, Computer Science, Data Science, or related field 5+ years of experience in software development, data science, data engineering, ETL, and analytics reporting development Experience designing, building, implementing, and maintaining data and system integrations using dimensional data modelling and development and optimization of ETL pipelines Proven track record of designing and implementing complex data solutions Demonstrated understanding and experience using: Data Engineering Programming Languages (i.e., Python) Distributed Data Technologies (e.g., Pyspark) Cloud platform deployment and tools (e.g., Kubernetes) Relational SQL databases DevOps and continuous integration AWS cloud services and technologies (i.e., Lambda, S3, DMS, Step Functions, Event Bridge, Cloud Watch, RDS) Databricks/ETL IICS/DMS GitHub Event Bridge, Tidal Understanding of database architecture and administration Utilizes the principles of continuous integration and delivery to automate the deployment of code changes to elevate environments, fostering enhanced code quality, test coverage, and automation of resilient test cases Processes high proficiency in code programming languages (e.g., SQL, Python, Pyspark, AWS services) to design, maintain, and optimize data architecture/pipelines that fit business goals Strong organizational skills with the ability to manage multiple projects simultaneously and operate as a leading member across globally distributed teams to deliver high-quality services and solutions Excellent written and verbal communication skills, including storytelling and interacting effectively with multifunctional teams and other strategic partners Strong problem solving and troubleshooting skills Ability to work in a fast-paced environment and adapt to changing business priorities Desired Skillsets Masters Degree in Engineering, Computer Science, Data Science, or related field Experience in a global working environment Travel Requirements Access to transportation to attend meetings Ability to fly to meetings regionally and globally EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Objectives and Purpose The Senior Data Engineer ingests, builds, and supports large-scale data architectures that serve multiple downstream systems and business users. This individual supports the Data Engineer Leads and partners with Visualization on data quality and troubleshooting needs. The Senior Data Engineer will: Clean, aggregate, and organize data from disparate sources and transfer it to data warehouses. Support development testing and maintenance of data pipelines and platforms, to enable data quality to be utilized within business dashboards and tools. Create, maintain, and support the data platform and infrastructure that enables the analytics front-end; this includes the testing, maintenance, construction, and development of architectures such as high-volume, large-scale data processing and databases with proper verification and validation processes. Your Key Responsibilities Data Engineering Develop and maintain scalable data pipelines, in line with ETL principles, and build out new integrations, using AWS native technologies, to support continuing increases in data source, volume, and complexity. Define data requirements, gather, and mine data, while validating the efficiency of data tools in the Big Data Environment. Lead the evaluation, implementation and deployment of emerging tools and processes to improve productivity. Implement processes, systems to provide accurate and available data to key stakeholders, downstream systems, & business processes. Mentor and coach staff data engineers on data standards and practices, promoting the values of learning and growth. Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions. Support standardization, customization and ad hoc data analysis and develop the mechanisms to ingest, analyze, validate, normalize, and clean data. Write unit/integration/performance test scripts and perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues. Implement processes and systems to drive data reconciliation and monitor data quality, ensuring production data is always accurate and available for key stakeholders, downstream systems, and business processes. Lead the evaluation, implementation and deployment of emerging tools and processes for analytic data engineering to improve productivity. Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes. Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics. Solve complex data problems to deliver insights that help achieve business objectives. Implement statistical data quality procedures on new data sources by applying rigorous iterative data analytics. Relationship Building and Collaboration Partner with Business Analytics and Solution Architects to develop technical architectures for strategic enterprise projects and initiatives. Coordinate with Data Scientists to understand data requirements, and design solutions that enable advanced analytics, machine learning, and predictive modelling. Support Data Scientists in data sourcing and preparation to visualize data and synthesize insights of commercial value. Collaborate with AI/ML engineers to create data products for analytics and data scientist team members to improve productivity. Advise, consult, mentor and coach other data and analytic professionals on data standards and practices, promoting the values of learning and growth. Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions. Skills And Attributes For Success Technical/Functional Expertise Advanced experience and understanding of data/Big Data, data integration, data modelling, AWS, and cloud technologies. Strong business acumen with knowledge of the Pharmaceutical, Healthcare, or Life Sciences sector is preferred, but not required. Ability to build processes that support data transformation, workload management, data structures, dependency, and metadata. Ability to build and optimize queries (SQL), data sets, 'Big Data' pipelines, and architectures for structured and unstructured data. Experience with or knowledge of Agile Software Development methodologies. Leadership Strategic mindset of thinking above the minor, tactical details and focusing on the long-term, strategic goals of the organization. Advocate of a culture of collaboration and psychological safety. Decision-making and Autonomy Shift from manual decision-making to data-driven, strategic decision-making. Proven track record of applying critical thinking to resolve issues and overcome obstacles. Interaction Proven track record of collaboration and developing strong working relationships with key stakeholders by building trust and being a true business partner. Demonstrated success in collaborating with different IT functions, contractors, and constituents to deliver data solutions that meet standards and security measures. Innovation Passion for re-imagining new solutions, processes, and end-user experience by leveraging digital and disruptive technologies and developing advanced data and analytics solutions. Advocate of a culture of growth mindset, agility, and continuous improvement. Complexity Demonstrates high multicultural sensitivity to lead teams effectively. Ability to coordinate and problem-solve amongst larger teams. To qualify for the role, you must have the following: Essential Skillsets Bachelor’s degree in Engineering, Computer Science, Data Science, or related field 5+ years of experience in software development, data science, data engineering, ETL, and analytics reporting development Experience designing, building, implementing, and maintaining data and system integrations using dimensional data modelling and development and optimization of ETL pipelines Proven track record of designing and implementing complex data solutions Demonstrated understanding and experience using: Data Engineering Programming Languages (i.e., Python) Distributed Data Technologies (e.g., Pyspark) Cloud platform deployment and tools (e.g., Kubernetes) Relational SQL databases DevOps and continuous integration AWS cloud services and technologies (i.e., Lambda, S3, DMS, Step Functions, Event Bridge, Cloud Watch, RDS) Databricks/ETL IICS/DMS GitHub Event Bridge, Tidal Understanding of database architecture and administration Utilizes the principles of continuous integration and delivery to automate the deployment of code changes to elevate environments, fostering enhanced code quality, test coverage, and automation of resilient test cases Processes high proficiency in code programming languages (e.g., SQL, Python, Pyspark, AWS services) to design, maintain, and optimize data architecture/pipelines that fit business goals Strong organizational skills with the ability to manage multiple projects simultaneously and operate as a leading member across globally distributed teams to deliver high-quality services and solutions Excellent written and verbal communication skills, including storytelling and interacting effectively with multifunctional teams and other strategic partners Strong problem solving and troubleshooting skills Ability to work in a fast-paced environment and adapt to changing business priorities Desired Skillsets Masters Degree in Engineering, Computer Science, Data Science, or related field Experience in a global working environment Travel Requirements Access to transportation to attend meetings Ability to fly to meetings regionally and globally EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

Job ID: 28453 Location: Chennai, IN Area of interest: Operations Job type: Regular Employee Work style: Office Working Opening date: 14 May 2025 Job Summary Strategy Awareness and understanding of the Group’s business strategy Business Manage and/or resolve alerts/cases Follow the Correspondent Banking DOI to process risk events in line with the Assess, Analyse, Act (AAA) process. Processes Manage and/or resolve alerts/cases: Follow the Correspondent Banking DOI to process risk events in line with the Assess, Analyse, Act (AAA) process. People & Talent Promote and embed a culture of openness, trust and risk awareness, where ethical, legal, regulatory and policy compliant conduct is the norm. Risk Management Analyse significant financial crime risk events (e.g. non-compliant transactions, production orders) to ensure that all connected parties, particularly cross-border are identified and reported at the appropriate levels internally across all relevant jurisdictions. Apply Group and FCC policies and processes (AML surveillance, client screening, risk assessment) to manage risks. Key Responsibilities Governance In the event of serious regulatory breaches, or where risk tolerances have been breached, ensure senior management are informed and that actions are taken quickly to remediate and/or activities are ceased. 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 FCC Controls representatives in group and country. Other Responsibilities Embed Here for good and Group’s brand and values in India / FCSO / TMCB Perform other responsibilities assigned under Group, Country, Business or Functional policies and procedures; Multiple functions (double hats); Skills and Experience Compliance Policies and Standards Compliance Advisory Surveillance (including Screening and Monitoring) Investigations Compliance Risk Assessment Qualifications 1 to 2 years of relevant work experience in the following areas: AML and terrorist financing surveillance skills in relation the respective country jurisdictions, and client types. Analysis skills: able to analyze data trends and out of pattern activities, working knowledge of Internet and MS Office Suite & independently assimilate, analyse and evaluate information from disperse data sources to determine a course of action (e.g. case closure or escalation), and record and communicate this decision clearly and concisely. Banking: knowledge in terms of customers, products and transactions with expertise in at least one customer segment (retail, corporate, private banking, correspondent banking) Banking operations experience (Client Due Diligence, payments, trade, markets or other) and service oriented attitude. EDUCATION Relevant degree such as Bachelor's and Master's Degree in Business, Education, Statistics, Mathematics, Economics, Finance, Computer Science, Writing, Financial Services, Accounting TRAINING Mandatory & developmental – role-specific, and regulatory / compliance bank wide & role-specific LICENSES internal / externally required MEMBERSHIP Required for roles for continuous development / improvement/ awareness of current practices, etc. CERTIFICATIONS AML/KYC LANGUAGES Excellent communication in English (articulation and writing). 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

Organization: At CommBank, we never lose sight of the role we play in other people’s financial wellbeing. Our focus is to help people and businesses move forward to progress. To make the right financial decisions and achieve their dreams, targets, and aspirations. Regardless of where you work within our organisation, your initiative, talent, ideas, and energy all contribute to the impact that we can make with our work. Together we can achieve great things. Job Title: Data Scientist Location : Bangalore Business & Team: RBS Decision Science Impact & contribution: The Data Scientist will use technical knowledge and understanding of business domain to own and deliver moderate or highly complex data science projects independently or with minimal guidance. You also will engage and collaborate with business stakeholders to clearly articulate findings to solve business problems. Roles & Responsibilities: Lead data-driven initiatives, from problem formulation to model deployment, leveraging advanced statistical techniques and machine learning algorithms. Drive the development and implementation of scalable data solutions, ensuring accuracy and reliability of predictive models. Collaborate with business stakeholders to define project goals, prioritize tasks, and deliver actionable insights. Design and execute experiments to evaluate model performance and optimize algorithms for maximum efficiency. Develop and deploy production-grade machine learning models in cloud-based and on-prem platforms. Lead cross-functional teams in the design and execution of data science projects, ensuring alignment with business objectives. Stay abreast of emerging technologies and industry trends, continuously enhancing expertise in data science methodologies and tools. Drive innovation by exploring new approaches and techniques for solving complex business problems through data analysis and modelling. Mentor junior team members, providing guidance on best practices and technical skills development. Strongly support the adoption of data science across the organization. Identify problems in the products, services and operations of the bank and solve those with innovative research driven solutions. Essential Skills: Strong hands-on programming experience in Python (mandatory), R, SQL, Hive and Spark. 5+ years of experience in above skills Ability to write well designed, modular and optimized code. Knowledge of H2O.ai, GitHub, Big Data and ML Engineering. Knowledge of Snowflake, AWS, Azure etc. Knowledge of commonly used data structures and algorithms. Solid foundation of Statistics and core ML algorithms at a mathematical (under the hood) level. Must have been part of projects building and deploying predictive models in production (financial services domain preferred) involving large and complex data sets. Experience in Data Science in Pricing, Credit Risk, Marketing, Campaign Analytics, Ecommerce Retail or banking products for retail or business banking is preferred. Good to have: Knowledge of Time Series, NLP and Deep Learning and Generative AI is preferred. Good to have: Knowledge and hands-on experience in developing solutions with Large Language Models. Good to have: familiarity with agentic coding such as Roo code and Cline Built and deployed large scale software applications. Understanding of principles of software engineering and cloud computing. Strong problem solving and critical thinking skills. Curious, fast learning capability and team player attitude is a must. Ability to communicate clearly and effectively. Demonstrated expertise through blogposts, research, participation in competitions, speaking opportunities, patents and paper publications. Most importantly - ability to identify and translate theories into real applications to solve practical problems. Education Qualifications: Bachelor’s degree in Engineering Or Master’s degree Or Ph.D. in Data Science/ Machine Learning/ Computer Science/ Computational Linguistics/ Statistics/ Mathematics/Engineering. If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through Sidekick to submit a valid application. We’re keen to support you with the next step in your career. We're aware of some accessibility issues on this site, particularly for screen reader users. We want to make finding your dream job as easy as possible, so if you require additional support please contact HR Direct on 1800 989 696. Advertising End Date: 02/07/2025 Show more Show less

About Shreeji Education Zone: Shreeji Education Zone is a leading educational institute in Rajkot, dedicated to providing exceptional academic support and fostering holistic development for IGCSE students. Our goal is to cultivate a nurturing and intellectually stimulating environment that encourages academic excellence. Position Overview: We are seeking a meticulous and creative IGCSE Tutor to join our team. This role is critical to ensuring the academic success of our students through thorough paper checking and innovative lesson planning. The ideal candidate will have a strong background in education, a keen eye for detail, and a passion for fostering student growth. Key Responsibilities: Paper Checking: Accurately grade student assignments, tests, and exams, providing detailed and constructive feedback to help students understand their mistakes and improve their performance. Lesson Planning: Develop engaging and effective lesson plans tailored to the IGCSE curriculum, ensuring each lesson addresses the diverse learning needs of our students. Performance Analysis: Regularly review student performance data to identify trends, strengths, and areas needing improvement, adjusting lesson plans accordingly. Individualized Support: Offer personalized academic support to students, addressing their unique challenges and helping them achieve their full potential. Collaboration: Work closely with fellow tutors and staff to maintain high standards of educational delivery and consistency across the institute. Professional Development: Stay informed about the latest educational trends, IGCSE curriculum updates, and best practices in teaching and assessment. Qualifications: Bachelor’s degree in Education, a specific subject area (e.g., Mathematics, Science, English), or a related field. A Master’s degree is preferred. Proven experience in tutoring, teaching, or educational support, with a focus on IGCSE or GCSE students. Deep understanding of the IGCSE curriculum and examination standards. Excellent analytical skills for assessing student work and developing targeted lesson plans. Strong communication skills for providing clear, constructive feedback and guidance. A proactive and innovative approach to teaching and student support. What We Offer: A collaborative and supportive work environment. Opportunities for professional growth and training. Potential for a permanent position with a competitive salary based on performance. The opportunity to make a meaningful impact on students' academic journeys. Job Type: Part-time Pay: ₹8,032.00 - ₹15,603.82 per month Benefits: Cell phone reimbursement Internet reimbursement Leave encashment Paid sick time Paid time off Schedule: Fixed shift Supplemental Pay: Performance bonus Application Question(s): Our working hours are from 2:00 PM to 8:00 PM, Monday to Friday. Are you comfortable with this schedule? What motivates you more in a job: growth or compensation? Some argue that AI integration in students’ lives enhances learning efficiency and prepares them for future technological advancements. Others believe it risks depersonalizing education and undermining critical thinking skills. Which perspective do you align with more, and why? (Please choose one and explain briefly.) Education: Master's (Preferred) Experience: Work: 3 years (Preferred) Location: Rajkot, Rajkot, Gujarat (Preferred) Work Location: In person

Gaining an understanding of the client's needs and requirements and communicating them and the quality standards to the production teams. Devising ways to improve the manufacturing process to ensure higher-quality goods. Devising, improving, and reviewing new specifications and procedures for products or processes, and training staff to use them. Setting the requirements for raw materials from suppliers and monitoring their compliance. Supervising inspectors, technicians, and other staff members and providing guidance. Ensuring legal obligations are followed and ensuring compliance with regulatory bodies and with health and safety guidelines. Overseeing product development procedures to identify any deviations from quality standards. Inspecting the final output, comparing it to the requirements, and approving or rejecting the final products. Keeping accurate documentation and performing statistical analysis. Gaining feedback from the clients, attending meetings, submitting reports, and assisting external auditors and inspectors. Requirements: A bachelor's degree in science or business-based programs. Previous experience in production or manufacturing. Experience in business administration may be advantageous. Strong attention to detail, observation, organizational, and leadership skills. In-depth knowledge of quality control procedures and legal standards. Strong knowledge of mathematics, data analysis, and statistical methods. Excellent communication and listening skills. Good technical and IT skills. Experience:2.5-4 years Only candidate from Ahmedabad can apply. Job Type: Full-time Pay: ₹20,000.00 - ₹38,000.00 per month Schedule: Day shift Monday to Friday Morning shift Application Question(s): Notice period Education: Bachelor's (Preferred) Experience: total work: 3 years (Preferred)

Job Title: Data Analyst Location: Surat (On-site) Experience Required: Minimum 2 Years Job Type: Full-Time Department: Analytics/Data Science Reporting To: Data Lead / Business Head About the Role: We are looking for a results-driven and detail-oriented Data Analyst to join our team in Surat. The ideal candidate will have hands-on experience in analyzing complex datasets, creating insightful dashboards, and driving business decisions through data. Key Responsibilities: Gather, clean, and analyze structured and unstructured data from various sources. Build and maintain interactive dashboards and reports using Power BI and Looker Studio . Write and optimize SQL queries to extract meaningful insights from databases. Use Python for data manipulation, statistical analysis, and automation tasks. Collaborate with cross-functional teams to understand data needs and deliver solutions. Identify trends, patterns, and key insights that impact business performance. Ensure data accuracy, integrity, and security across all reports and dashboards. Present findings to stakeholders with clear storytelling and visualizations. Key Skills & Tools: Strong proficiency in Power BI and Looker Studio (Google Data Studio) Advanced knowledge of SQL (Joins, subqueries, window functions, etc.) Working knowledge of Python for data analysis (Pandas, NumPy, etc.) Understanding of data warehousing concepts and relational databases Experience with data cleaning, transformation, and visualization Strong analytical thinking and attention to detail Qualifications: Bachelor’s degree in Computer Science, Statistics, Mathematics, Economics, or a related field Minimum 2 years of relevant experience in a data analyst or business analyst role Good communication and presentation skills Job Type: Full-time Pay: Up to ₹30,000.00 per month Benefits: Paid sick time Paid time off Schedule: Day shift Education: Bachelor's (Required) Experience: Power BI: 1 year (Required) Python: 1 year (Required) Language: English (Preferred) Willingness to travel: 75% (Required) Work Location: In person

Need a qualified and disciplined teacher Job Type: Full-time Pay: ₹15,000.00 - ₹25,000.00 per month Benefits: Food provided Schedule: Day shift Supplemental Pay: Performance bonus Experience: total work: 1 year (Preferred) Work Location: Remote

About the Role We are looking for a highly skilled Mathematics Subject Matter Expert (SME) to develop high-quality content for JEE Main & Advanced preparation. The ideal candidate should have in-depth knowledge of JEE Mathematics , a strong understanding of conceptual clarity and want exposure in developing high-quality JEE-level content and error-free content for students. Key Responsibilities Develop error-free and conceptually strong content for JEE Main & Advanced . Create questions, solutions, and explanations aligned with the latest JEE syllabus and exam pattern . Design full-syllabus tests, practice sheets, and concept notes to enhance students’ problem-solving skills. Review and improve existing content to maintain high accuracy and clarity . Work closely with the DTP and faculty team to ensure high-quality content presentation. Develop video solutions/hardcopy solutions for digital content, if required. Qualifications & Skills Bachelor's or Master’s degree in a Science-related domain . Freshers & experienced candidates who have a strong understanding of the JEE Main & Advanced syllabus, difficulty level, and exam trends are welcome to apply. Note: This is a content expert position , not a teaching role. If you are looking to grow as an educator , please do not apply. Job Types: Full-time, Permanent Pay: ₹20,000.00 - ₹30,000.00 per month Benefits: Food provided Health insurance Provident Fund Schedule: Day shift Work Location: In person

We are hiring a qualified Mathematics teacher to create and review curriculum-based academic content for school-level maths (Grades 6–12). The role involves developing textbooks, worksheets, assessments, and teacher resources aligned with CBSE/ICSE/State Board syllabi. Key Responsibilities: Create and review maths content for print and digital platforms Design step-by-step solutions and explanations Align content with academic standards and curriculum Collaborate with editors/designers for high-quality output Requirements: Degree in Mathematics or related field Teaching or content creation experience (2+ years preferred) Strong written English and subject knowledge Familiarity with school-level curricula (CBSE/ICSE/State) Job Type: Full-time Pay: ₹9,614.44 - ₹15,000.00 per month Schedule: Day shift Work Location: In person

Embark on a transformative journey as a Risk Model Validation at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences. As a part of Risk Model Validation, you would be reviewing the stress testing models in the Trading Risk Independent Validation team of the bank. To be a successful Risk Model Validation you should have experience with: Academics / Education - postgraduate in a quantitative discipline, for example mathematics, physics, quantitative finance, or quantitative field. Experience in mathematical skills, including in probability, statistics, differential and integral calculus, linear algebra, stochastic calculus, and numerical methods; Strong Experience on programming skills in languages / packages such as Python, C++, or Matlab. Some other highly valued skills may include: The ideal candidate will have proven ability to understand several traded risk modelling approaches, including models for VaR, PFE and initial margin, and their strengths and weaknesses. Exposure to the knowledge around the financial products pricing and fundamentals is a plus. Exposure to the stress testing frameworks like IST or CCAR would be an added advantage. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills. The role is based out of Noida location. Purpose of the role To validate and approve models for specific usages both at inception and on a periodic basis, and of model changes, as well as conducting annual reviews. Accountabilities Validation of models for their intended use and scope, commensurate with the complexity and materiality of the models. Approval or rejection of a model or usage based on assessment of the model’s conceptual soundness, performance under intended use and the clarity of the documentation of the model’s inherent risks, limitations and weaknesses. Assessment of any compensating controls used to mitigate Model risk. Documentation of validation findings and recommendations in clear and concise reports, providing actionable insights for model improvement. Evaluation of the coherence of model interactions and quality of Large Model Framework aggregate results that generate output for regulatory submissions or management decision making and planning. Design of the framework and methodology to measure and, where possible, quantify model risk, including the assessment of framework level uncertainty. Analyst Expectations To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement. Requires in-depth technical knowledge and experience in their assigned area of expertise Thorough understanding of the underlying principles and concepts within the area of expertise They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate. Will have an impact on the work of related teams within the area. Partner with other functions and business areas. Takes responsibility for end results of a team’s operational processing and activities. Escalate breaches of policies / procedure appropriately. Take responsibility for embedding new policies/ procedures adopted due to risk mitigation. Advise and influence decision making within own area of expertise. Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct. Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function. Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Make evaluative judgements based on the analysis of factual information, paying attention to detail. Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents. Guide and persuade team members and communicate complex / sensitive information. Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Job Responsibilities Specialize in teaching Mathematics for classes 11 & 12. Conduct engaging and effective classroom sessions. Create lesson plans, assignments, and assessments. Provide individualized support and guidance to students. Maintain a positive and inclusive learning environment. Participate in staff meetings and professional development activities. Has experience teaching the CBSE curriculum. Job Types: Full-time, Permanent Pay: ₹12,000.00 - ₹15,000.00 per month Benefits: Health insurance Provident Fund Schedule: Day shift Application Question(s): Are you B.ED? How many years of experience do you have? Education: Master's (Preferred) Work Location: In person

Responsibilities Should be able to manage project (Build and Validate)models independently with minimal technical support . Should be able to implement new ideas for improving profitability. Identify relevant data sources to mine for client business needs. Analyze data for trends and patterns, and interpret data with a clear objective in mind. Research and devise innovative statistical/machine learning models for data analysis. Communicate findings to senior stakeholders. Candidate Profile 6– 10 years of experience in data science position (preferably in Banking and Financial Services). Master's degree in economics, Mathematics, Engineering, Computer Science, Operations Research or Related areas is preferred; candidates with BT.ech/BS degrees from the top tier academic institutions are also welcome to apply. Experience in programming in Python, SQL and/or SAS. Excellent understanding of Model Development and Validation in Credit Risk domain. Understanding of statistical concepts like (t-tests, chi-square tests, hypothesis testing, regression analysis, etc). Excellent understanding of machine learning techniques and algorithms, such as Classification, Clustering, Random Forest, XGBoost, GBM, Neural Networks. Or hands-on with Strategy building and optimization in credit Risk. Industry experience related to data science will be preferred over academic/online projects or courses. Good communication and presentation skills. Excellent problem-solving skills. Show more Show less

We are seeking a Senior Quantitative Credit Risk Strategist as part of the team. You will work with other analysts, risk managers and leaders to analyze customer characteristics, identify risk differentiators, and recommend underwriting and collections strategies to achieve the risk and return goals. If you have an analytic and data driven mindset, eye for detail and can-do attitude then you are right for this position. About This Role (Responsibilities) Analyze data to identify risk drivers and propose mitigation strategies Work with Data Science team to build and test credit, account management and Collection models Set credit strategy and policy to mitigate risk and drive business growth Improve Collection performance by operational, policy and modeling improvements Set underwriting and account management strategy Collaborate with R+D, Product, and Operations on the test and launch of new features and/or products Skills And Requirements 7+ years of experience in retail/consumer/SMB finance in a credit risk or strategy role preferably in Fintech/banks Ability and experience in writing credit memos and credit decision and strategy documentation Hands on experience in using data and analytics to drive credit risk strategy is required Experience in A/B testing Masters Degree or higher in a quantitative field (Mathematics/Statistics/Economics/OR/Business) Advanced data analytics skills, including use of SQL, Python/R, Excel and data visualization tools such as Tableau/Hex Familiarity with statistical modeling Ability to influence a cross-functional non-hierarchical environment to lead collaborations and drive progress Show more Show less

ABOUT HAKKODA Hakkoda, an IBM Company, is a modern data consultancy that empowers data driven organizations to realize the full value of the Snowflake Data Cloud. We provide consulting and managed services in data architecture, data engineering, analytics and data science. We are renowned for bringing our clients deep expertise, being easy to work with, and being an amazing place to work! We are looking for curious and creative individuals who want to be part of a fast-paced, dynamic environment, where everyone’s input and efforts are valued. We hire outstanding individuals and give them the opportunity to thrive in a collaborative atmosphere that values learning, growth, and hard work. Our team is distributed across North America, Latin America, India and Europe. If you have the desire to be a part of an exciting, challenging, and rapidly-growing Snowflake consulting services company, and if you are passionate about making a difference in this world, we would love to talk to you!. We are looking for people experienced with data architecture, design and development of database mapping and migration processes. This person will have direct experience optimizing new and current databases, data pipelines and implementing advanced capabilities while ensuring data integrity and security. Ideal candidates will have strong communication skills and the ability to guide clients and project team members. Acting as a key point of contact for direction and expertise. Key Responsibilities Design, develop, and optimize database architectures and data pipelines. Ensure data integrity and security across all databases and data pipelines. Lead and guide clients and project team members, acting as a key point of contact for direction and expertise. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Manage and support large-scale technology programs, ensuring they meet business objectives and compliance requirements. Develop and implement migration, dev/ops, and ETL/ELT ingestion pipelines using tools such as DataStage, Informatica, and Matillion. Utilize project management skills to work effectively within Scrum and Agile Development methods. Create and leverage metrics to develop actionable and measurable insights, influencing business decisions. Qualifications 7+ years of proven work experience in data warehousing, business intelligence (BI), and analytics. 3+ years of experience as a Data Architect. 3+ years of experience working on Cloud platforms (AWS, Azure, GCP). Bachelor's Degree (BA/BS) in Computer Science, Information Systems, Mathematics, MIS, or a related field. Strong understanding of migration processes, dev/ops, and ETL/ELT ingestion pipelines. Proficient in tools such as DataStage, Informatica, and Matillion. Excellent project management skills and experience with Scrum and Agile Development methods. Ability to develop actionable and measurable insights and create metrics to influence business decisions. Previous consulting experience managing and supporting large-scale technology programs. Nice to Have 6-12 months of experience working with Snowflake. Understanding of Snowflake design patterns and migration architectures. Knowledge of Snowflake roles, user security, and capabilities like Snowpipe. Proficiency in SQL scripting. Cloud experience on AWS (Azure and GCP are also beneficial) Python scripting skills. Benefits: Health Insurance Paid leave Technical training and certifications Robust learning and development opportunities Incentive Toastmasters Food Program Fitness Program Referral Bonus Program Hakkoda is committed to fostering diversity, equity, and inclusion within our teams. A diverse workforce enhances our ability to serve clients and enriches our culture. We encourage candidates of all races, genders, sexual orientations, abilities, and experiences to apply, creating a workplace where everyone can succeed and thrive. Ready to take your career to the next level? \uD83D\uDE80 \uD83D\uDCBB Apply today\uD83D\uDC47 and join a team that’s shaping the future!! Hakkoda is an IBM subsidiary which has been acquired by IBM and will be integrated in the IBM organization. Hakkoda will be the hiring entity. By Proceeding with this application, you understand that Hakkoda will share your personal information with other IBM subsidiaries involved in your recruitment process, wherever these are located. More information on how IBM protects your personal information, including the safeguards in case of cross-border data transfer, are available here.

A HOPE CLASSES is looking for a passionate and qualified Mathematics Faculty member to deliver engaging and effective math instruction. The ideal candidate should have strong subject knowledge, a student-centric approach, and the ability to teach mathematical concepts across various levels. Key Responsibilities Plan and teach mathematics lessons aligned with academic standards for different grade levels[2]. Develop lesson plans, assignments, tests, and other learning materials[1]. Monitor and assess student performance through quizzes, exams, and class participation[4]. Provide one-on-one guidance and academic support to students as needed. Create a positive and interactive classroom environment that encourages student learning. Stay current with curriculum developments and pedagogical trends[5]. Qualifications and Skills Master’s degree in Mathematics or related field (M.Sc./Ph.D. preferred). Prior teaching experience is desirable. Excellent communication and classroom management skills. Familiarity with digital teaching tools is an added advantage. Job Types: Full-time, Permanent, Fresher Pay: ₹7,500.00 - ₹20,000.00 per month Schedule: Evening shift Fixed shift Monday to Friday Weekend availability Language: English (Preferred) Work Location: In person Expected Start Date: 15/06/2025

Role Overview 2-6 years’ of actuarial experience in life insurance. Should be progressing with actuarial exams preferably from SoA, IFoA or IAI Experience of working in US life insurance industry is preferable. Experience in either actuarial modeling, valuation or experience studies. Exposure to some actuarial software such as Polysystems/GGYAxis/MGALFA / Prophet . Advanced life insurance and actuarial knowledge, strong technical, analytical, problem solving and interpersonal skills, effective communicator to superiors, peers and subordinate. Assist in learning and development of team members, able to work independently. Good VBA skills Excellent business skills leading to understanding of clients requirements Key Responsibilities Complete understanding of the current state of affairs and problem statement Interacting with clients on regular basis, understanding their requirements and transforming that into business framework and providing actuarial solutions Initiate and lead process transformation/automation initiative. Provide coaching to team on build actuarial models for annuities, retirement, term product etc. Provide coaching to team on build actual L&A models, testware, challenger model and perform UAT testing, Unit testing, regression testing etc. for Actuarial model testing & validation. Excellent written and verbal communication skills Candidate Profile Bachelor’s/Master's degree in economics, mathematics, actuarial sciences. Affiliation to SoA, IAI or IFOA. Preferably an associate actuary. At least 2 years’ experience in modeling, valuation or experience studies, with good understanding of US Life products. Must also have exposure in either - pricing, modeling, experience studies, reserving and valuation Exposure to US life insurance market is preferable. Experience of working in international markets such as US or India. Good working knowledge of PBR, US-GAAP LDTI. Experience working with Polysystems/GGYAxis/MGALFA / Prophet can be considered. Experience in SQL/Python/R is desirable but not mandatory. Strong ability to learn technical and business knowledge Superior analytical and problem solving skills Outstanding written and verbal communication skills Able to work in fast pace continuously evolving environment and ready to take up uphill challenges Is able to understand cross cultural differences and can work with clients across the globe Show more Show less

Rate indications EXL (NASDAQ:EXLS) is a leading operations management and analytics company that helps businesses enhance growth and profitability in the face of relentless competition and continuous disruption. Using our proprietary, award-winning Business EXLerator Framework™, which integrates analytics, automation, benchmarking, BPO, consulting, industry best practices and technology platforms, we look deeper to help companies improve global operations, enhance data-driven insights, increase customer satisfaction, and manage risk and compliance. EXL serves the insurance, healthcare, banking and financial services, utilities, travel, transportation and logistics industries. Headquartered in New York, New York, EXL has more than 24,000 professionals in locations throughout the United States, Europe, Asia (primarily India and Philippines), Latin America, Australia and South Africa. EXL Analytics provides data-driven, action-oriented solutions to business problems through statistical data mining, cutting edge analytics techniques and a consultative approach. Leveraging proprietary methodology and best-of-breed technology, EXL Analytics takes an industry-specific approach to transform our clients’ decision making and embed analytics more deeply into their business processes. Our global footprint of nearly 2,000 data scientists and analysts assist client organizations with complex risk minimization methods, advanced marketing, pricing and CRM strategies, internal cost analysis, and cost and resource optimization within the organization. EXL Analytics serves the insurance, healthcare, banking, capital markets, utilities, retail and e-commerce, travel, transportation and logistics industries. Please visit www.exlservice.com for more information about EXL Analytics. Role & Responsibilities Overview Collaborate with the Rate-filing Team to analyze and estimate reserves for our P&C insurance products by state, including performing triangle-based loss reserve reviews and analyses. Analyze data and perform actuarial calculations, generate state-specific filing indications for DOI submissions (Auto & Home) Support monthly/quarterly rate updates and processes (rate files, RPC, forecasts) Assist in the development and enhancement of rate-filing tools, models, and processes to improve accuracy and efficiency. Provide support in the preparation of financial reports, including reserve-related disclosures. Stay updated with best practices in actuarial methodologies and techniques. Mentor and provide guidance to junior team members as needed. Candidate Profile Bachelor’s/Master's degree in engineering, economics, mathematics, actuarial sciences or statistics. Affiliation to IAI or IFOA, with 2-6 CT actuarial exams will be an added advantage 2-6 years Actuarial experience in the P&C insurance industry Good knowledge of insurance terms Advanced skills in Excel, Python, SQL, and other relevant tools for data analysis and modeling. Experience in Databricks is good to have Excellent analytical and problem-solving skills, with the ability to analyze complex data and make data-driven decisions. Strong communication skills, including the ability to effectively communicate actuarial concepts to both technical and non-technical stakeholders Ability to work independently and collaboratively in a team-oriented environment Detail-oriented with strong organizational and time management skills Ability to adapt to changing priorities and deadlines in a fast-paced environment What We Offer EXL Analytics offers an exciting, fast paced and innovative environment, which brings together a group of sharp and entrepreneurial professionals who are eager to influence business decisions. From your very first day, you get an opportunity to work closely with highly experienced, world class analytics consultants. You can expect to learn many aspects of businesses that our clients engage in. You will also learn effective teamwork and time-management skills - key aspects for personal and professional growth Analytics requires different skill sets at different levels within the organization. At EXL Analytics, we invest heavily in training you in all aspects of analytics as well as in leading analytical tools and techniques. We provide guidance/ coaching to every employee through our mentoring program wherein every junior level employee is assigned a senior level professional as advisors. Sky is the limit for our team members. The unique experiences gathered at EXL Analytics sets the stage for further growth and development in our company and beyond. Show more Show less

Job Title: PhD Researcher – AI Model Evaluation (STEM) Employment Type: Part-time (15–40 hours/week) Location: Remote, work from anywhere Compensation: $20 to $60 per hour, paid weekly via Stripe About the Role A leading AI lab is looking for PhDs and PhD candidates in STEM fields to contribute to a cutting-edge research initiative focused on improving large language models (LLMs) . This is a flexible, fully remote opportunity to bring your academic expertise into high-impact AI research. Responsibilities Assess the accuracy, depth, and relevance of LLM outputs in your specific domain Design and review domain-specific evaluation tasks to benchmark model performance Deliver clear, structured feedback on model outputs, identifying strengths and failure points Collaborate with AI researchers to analyze limitations and suggest improvements Contribute to the development of datasets and evaluation protocols that push the frontier of model benchmarking You’re a Strong Fit If You Have A PhD or are currently a PhD candidate in a STEM discipline (e.g. chemistry, physics, mathematics) Deep familiarity with research trends and open questions in your field Strong analytical and critical thinking skills The ability to evaluate scientific reasoning and technical writing Excellent written communication skills Comfort working independently , asynchronously, and remotely What You Get Flexible hours and a fully remote setup Work on your own schedule while contributing to real-world AI advancements Competitive hourly compensation depending on domain and experience Weekly payouts through Stripe Show more Show less

Responsibilities As a Data Engineer, you will design, develop, and support data pipelines and related data products and platforms. Your primary responsibilities include designing and building data extraction, loading, and transformation pipelines across on-prem and cloud platforms. You will perform application impact assessments, requirements reviews, and develop work estimates. Additionally, you will develop test strategies and site reliability engineering measures for data products and solutions, participate in agile development & solution reviews, mentor junior Data Engineering Specialists, lead the resolution of critical operations issues, and perform technical data stewardship tasks, including metadata management, security, and privacy by design. Required Skills: ● Design, develop, and support data pipelines and related data products and platforms. ● Design and build data extraction, loading, and transformation pipelines and data products across on- prem and cloud platforms. ● Perform application impact assessments, requirements reviews, and develop work estimates. ● Develop test strategies and site reliability engineering measures for data products and solutions. ● Participate in agile development and solution reviews. ● Mentor junior Data Engineers. ● Lead the resolution of critical operations issues, including post-implementation reviews. ● Perform technical data stewardship tasks, including metadata management, security, and privacy by design. ● Design and build data extraction, loading, and transformation pipelines using Python and other GCP Data Technologies ● Demonstrate SQL and database proficiency in various data engineering tasks. ● Automate data workflows by setting up DAGs in tools like Control-M, Apache Airflow, and Prefect. ● Develop Unix scripts to support various data operations. ● Model data to support business intelligence and analytics initiatives. ● Utilize infrastructure-as-code tools such as Terraform, Puppet, and Ansible for deployment automation. ● Expertise in GCP data warehousing technologies, including BigQuery, Cloud SQL, Dataflow, Data Catalog, Cloud Composer, Google Cloud Storage, IAM, Compute Engine, Cloud Data Fusion and Dataproc (good to have). Qualifications: ● Bachelor's degree in Software Engineering, Computer Science, Business, Mathematics, or related field. ● 4+ years of data engineering experience. ● 2 years of data solution architecture and design experience. ● GCP Certified Data Engineer (preferred). Interested candidates can send their resumes to riyanshi@etelligens.in Show more Show less

Job Description Job Title: Data Scientist Location: Mumbai & Bangalore Job Type: Full Time About The Role We are seeking an experienced Data Scientist to lead and deliver complex data-driven solutions. With over 8 years in the field, the ideal candidate has a strong background in statistical modelling, machine learning, and business problem-solving. You will collaborate with cross-functional teams to drive decision-making and improve performance across the organization. Key Responsibilities Lead end-to-end data science projects from problem definition through model deployment and monitoring. Develop and implement advanced machine learning models, including supervised, unsupervised, and deep learning approaches. Translate complex business challenges into data science problems and communicate insights to stakeholders clearly and effectively. Collaborate with data engineers, analysts, product managers, and domain experts to build robust data pipelines and models. Mentor junior data scientists and provide technical leadership within the team. Conduct exploratory data analysis and feature engineering using large, complex datasets. Optimize models for performance, scalability, and interpretability. Stay current with the latest research, tools, and best practices in data science and machine learning. Required Qualifications 8+ years of experience in data science, machine learning. Degree in Computer Science, Statistics, Applied Mathematics, Engineering, or a related field. Strong proficiency in Python, SQL & Market Analytics. Experience with AWS cloud platform. Skills Required RoleData Engineer-Data Scientist Industry TypeITES/BPO/KPO Functional AreaIT-Software Required Education Graduation Employment TypeFull Time, Permanent Key Skills DATA SCIENTIST MACHINE LEARNING PYHTON SQL Other Information Job CodeGO/JC/201/2025 Recruiter NamePriya Srinivasan Show more Show less