19428 Statistics Jobs - Page 22

Job Summary Refer to myHR for guidance on how to define roles and responsibilities. This role is for Chennai, India. Looking for test engineer who has below skills. Bachelor’s or master’s degree in computer science, Computer Engineering, or related field Should possess strong knowledge in Java, Automated testing, Gherkin/ Cucumber, Selenium, Appium, API testing, RDBMS and JMeter performance scripting. Strong understanding of RESTful and SOAP APIs. Proficiency in Postman, Rest Assured, SoapUI, or similar API testing tools. Experience with API automation using Java. Familiarity with SQL for database validation. Hands-on experience with Azure DevOps. Knowledge of API documentation tools like Swagger. Develop, execute, and maintain test cases for RESTful and SOAP APIs. Identify, log, and track defects, collaborating with developers to resolve issues. Create test plans, test cases, test scripts, and test reports. Analyse API performance using tools like JMeter. Expert in APIs security standards by testing authentication, authorization, and data protection. Work closely with developers, business analysts, and QA teams to enhance product quality. Strong understanding of BDD cucumber frameworks Strategy Awareness and understanding of business strategy and model appropriate to the role. Business Awareness and understanding of retail business, wider audience, economic and market environment in which the group operates. Processes Awareness and understanding of Agile s/w development process, change and release management. Key Responsibilities People & Talent Strong development and testing life cycle knowledge Strong sense of responsibility in managing the workload and deliverables. Skill to coordinate with clients and with respect to all the testing. Good project management and communication skills Risk Management Should be able to highlight and escalate risks/impediments to the SM Governance Constant communication and follow-ups with various stake holders to track deliverables during test planning, preparation and execution phases as applicable. Send out daily status report with accurate execution and defect metrics to SM for the agreed cut off time set for the application release/project. Participate in project meetings to provide feedback and statistics of the project in relation to the test quality. Skills And Experience Rest Assured API Automation, Postman Selenium Cucumber, BDD Java Azure DevOps SQL, Postgres JMeter Qualifications B.TECH/ ENGINEERING GRADUATE 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.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Senior Data Scientist Lead, Data Scientist Our Purpose We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation and delivers better business results. Job Title: Data Scientist (Data, Analytics & AI), Advanced Analytics Job Description Summary Overview Advanced Analytics drives AI-based solutions and products at a globally scalable level across the different customer lifecycle stages, across both financial institutions and retail & commerce. This role is for a Lead Data Scientist that will work across Product, Client Services & Delivery, Data & Engineering and the broader teams, to deliver truly differentiated products driven by analytics & AI, leveraging rich data resources, AI platform capabilities and near real-time execution. The Global Data Analytics & AI Product team is developing multiple new products and capabilities using analytics & AI, and this role is central in that vision, from concept, technical design to market release and optimization. This role is positioned to drive new ideas forward by combining creative thought leadership with innovation and industry best practices. By entering in the early phase of a truly transformative and impactful strategic initiative, the experience is certain to be rewarding. This role will report into the Vice President of Data Science & AI within Advanced Analytics. The Successful Candidate’s Primary Responsibilities Will Be To Drive the evolution of Advanced Analytics products with an impact focused on data science and engineering Participate in the exploration, application and development of data science for product development Participate in identification and evaluation of AI/ML techniques and tools to deliver models and analytics for product development Continuously innovate and determine new data science approaches & technologies to solve business problems and generate business insights & recommendations Partner with roles across the organization including product, engineering, and sales to determine the highest priority data science problems to solve in a customer-centric framework Evaluate trade-offs between many possible analytics solutions to a problem, taking into account performance, usability, technical feasibility, timelines, and differing stakeholder opinions to make a decision Break large solutions into smaller, releasable milestones to collect data and feedback from product managers, clients and other stakeholders Evangelize releases to users, incorporating feedback, and tracking usage to inform future development Work with small, cross-functional teams to define vision, establish team culture and processes Consistently focus on key drivers of organization value and prioritize operational activities accordingly Identify and act upon product improvement opportunities Provide technical leadership of junior colleagues as a senior member of the data science team, through technical and non-technical mentoring This role requires the successful candidate to have the following: Prior experience in working in a data science product development role Strong hands-on experience in Advanced Analytics, Machine Learning, Deep Learning, Advanced Statistics etc. High proficiency in Python, Spark, SQL, R and be able to navigate across multiple languages Preferably with hands-on experience with Hadoop big data tools (Hive, Impala, Spark) or Databricks Demonstrated quantitative and problem-solving abilities including application to real business problems Strong project management skills and ability to meet business deadlines and execution Motivated, flexible, self-directed, and desire to lead small project teams as applicable Curiosity, creativity, and excitement for technology and innovation and outside-in perspectives Ability to multi-task and strong attention to detail including data utilized, methodology, results and validation Outstanding communication and organizational skills Masters preferred in Quantitative discipline like Physical Sciences, Mathematics, Statistics, Economics, Engineering etc. 7-10 years of experience in Data Science function supporting Products Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

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 In the Finance, Risk and/or Regulatory reporting space for at least 8-10 years Deep knowledge of the strategic business drivers and operational process requirements 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.

TransUnion's Job Applicant Privacy Notice What We'll Bring About the Role: We are seeking a detail-oriented Data Analyst with 1–3 years of experience to join our growing team. You will play a key role in transforming data into actionable insights that drive strategic business decisions. You will play a pivotal role in shaping data-driven decision-making processes by delivering insights, supporting studies, and performing market research. This role offers the opportunity to work on high-impact projects, including benchmarking, research studies, performance tracking, and forecasting, while continuously improving our data infrastructure and analytics capabilities. The ideal candidate is passionate about data, skilled in analytics tools, and thrives in a collaborative environment. Location: Chennai Job Type: Full-Time Experience Level: 1–3 Years Department: Data Analysis and Consulting Key Responsibilities Analyze large volumes of financial and transactional data to identify trends, anomalies, and opportunities to provide actionable insights/recommendations to influence product and operations managers and other senior stakeholders (to director level) in making optimal decisions. Assist in developing analyses at both market and Entity level to support the strategic initiatives. Conduct cohort analysis and segmentation to improve user experience and product performance. Ensure data accuracy and integrity across internal systems and third-party integrations. Build and maintain dashboards and reports for KPIs related to credit risk, customer lifetime value, churn, and fraud. Stay updated with the latest industry trends, tools, and technologies in data analytics What You'll Bring Required Qualifications: Bachelor’s degree in engineering, Data Science, Finance, Statistics, Computer Science, or a related field. 2–3 years of experience in a data analyst or business intelligence role, preferably in a financial services environment. Strong coding skills in SQL and/or other languages e.g. Python, R Proficiency in Excel and statistical analysis. Understanding of financial metrics, credit risk, and regulatory reporting. Excellent communication skills with the ability to translate complex data into actionable insights. Impact You'll Make End This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week. TransUnion Job Title Analyst, Data Analysis

Minimum 5 years of experience in machine learning engineering and AI development. Deep expertise in machine learning algorithms and techniques like supervised/unsupervised learning, deep learning, reinforcement learning, etc. Solid experience in natural language processing (NLP) - language models, text generation, sentiment analysis, etc. Proven understanding of generative AI concepts like text/image/audio synthesis, diffusion models, transformers, etc. Expertise in Agentic AI and building real world applications using the same. Experience working with Agentic AI frameworks like Langgraph, ADK , Autogen etc. Hands-on experience in developing and deploying generative AI applications (text generation, conversational AI, image synthesis, etc.) Experience in MLOps and ML model deployment pipelines. Proficiency in programming languages like Python, and ML frameworks like TensorFlow, PyTorch, etc. Knowledge of cloud platforms (AWS, GCP, Azure) and tools for scalable ML solution deployment. Experience with data processing, feature engineering, and model training on large datasets. Familiarity with responsible AI practices, AI ethics, model governance and risk mitigation. Understanding of software engineering best practices and applying them to ML systems. Experience with an agile development environment. Exposure in tools/framework to monitor and analyse ML model performance and data accuracy. Strong problem-solving, analytical, and communication abilities. Bachelors or masters degree in computer science, AI, Statistics, Math or related fields. Responsibilities: Design, develop and optimize machine learning models for applications across different domains. Build natural language processing pipelines for tasks like text generation, summarization, translation, etc. Develop and deploy cutting-edge generative AI & Agentic AI applications. Implement MLOps practices - model training, evaluation, deployment, monitoring, and maintenance. Integrate machine learning capabilities into existing products or build new AI-powered applications. Perform data mining, cleaning, preparation, and augmentation for training robust ML models. Collaborate with cross-functional teams to translate AI requirements into technical implementations. Ensure model performance, scalability, reliability. Continuously research and implement state-of-the-art AI/ML algorithms and techniques. Manage the end-to-end ML lifecycle from data processing to production deployment.

As a Research Analyst in our Investment Team, you will workin a highly collaborative team structure, you will deepen your research expertise and build relationships and knowledge that cement your career as a research analyst. This is a unique opportunity to make your mark on your sectors of expertise within our highly entrepreneurial, fixed-income investment business. In this role you will work closely with portfolio managers, traders, and other research analysts to support investment decisions and portfolio management strategies. What you will do? Conduct comprehensive credit analysis of high yield issuers, including financial statement analysis, industry evaluation, and competitive positioning. Make actionable investment recommendations in the High Yield and Leveraged Loan segments of the market Monitor and analyse market trends, economic indicators, and industry developments that impact high yield securities. Provide intensive, bottom-up fundamental research and analysisto support and inform your views. Collaborate with portfolio managers to support the construction and management of high yield portfolios. Perform primary and secondary research on the entire capital structure of loans and bonds Conduct market research and relative value analysis utilizing your considerable credit skills Build and maintain proprietary financial models for the entire peer group in your assigned sectors, accompanied by internal due diligence meetings with management teams and company visits Attend industry conferences and bridge sell-side and rating agency relationships to help promote fully actionable investment ideas Communicate with and present to clients as the expert in your select sectors What will you bring? A minimum of 5 years of industry experience, demonstrating knowledge and understanding in high yield research, credit analysis or related field. The ability to effectivelycommunicate with portfolio managers, traders and external clients Effective writing and presentation skills An undergraduate degree in Business, Finance, Mathematics, or Economics Chartered Financial Analyst (CFA), MBA or other advanced degree valued Strong attention to detail, analytical and problem-solving ability coupled with excellent financial, mathematical and statistical skills.

Job Characteristics: Demonstrates ability to extensively use and apply data science principles, methods, theories, and concepts to assignments where precedents may not exist. Demonstrates working knowledge and interconnectivity of other related disciplines. Provides solutions to a wide range of difficult problems through design and execution of data science research. Demonstrates ability and initiative to identify, experiment and collaborate on novel approaches to data science solutions. Makes significant contributions to the exploration, refinement and deployment of data science solutions. Education/Work Experience:Degree or advanced degree in data science, mathematics, statistics, computer science or related field. BS and 8-10 years related experience or MS and 5 years related experience or PhD and less than 2 years experience. Independence level/Reports to: Provides basic leadership and individually contributes to key data science projects/experiments of moderate scope and complexity with high impact on the business. Acts with considerable latitude in determining technical approach required to meet desired objectives. Normally reports to Director, Data Science Manager, or senior technical leader.

This position is for self-employed contract work only. All work is coordinated remotely from India. Experience in market research and in-depth interviews are key. MUST BE LOCATED IN Hyderabad. India Euromonitor International seeks a self-employed researcher to interview, analyze and report on multiple industries in Hyderabad. This role will suit a self-starting individual, who is looking for the flexibility of working from home . You will enjoy the challenge of reporting on consumer markets for a leading player in strategy research, globally. Industry researchers are employed on an annual contract basis and work with commissioners based in our London office. Our research addresses the following type of questions to deliver insightful business intelligence: How much chocolate was sold in the Hyderabad in 2018? Why did sales increase/decline over the previous year? What companies are the leading players in the pet care market? What share of sales is held by the leading brands? Why is company X doing better than company Y? What strategy is being employed and how is this supported operationally? 70% of your time will be dedicated to conducting secondary research and updating the database for several industries including packaged foods and pet foods. The remaining will focus on primary research (interviews with industry opinion leaders). You will be working with very granular databases and while advanced data skills are not required, you must enjoy estimating data from quantitative and qualitative insights . On primary research, s uccess relies on researchers' proactivity to recruit and secure interviews with the right contacts, and their ability to uncover key data and insights via open discussions . Researchers are also responsible for building and maintaining a digital library of secondary research by accessing and analysing local/professional trade press, company annual reports, national statistics, broker reports, etc. Key Responsibilities Creating and analyzing large volumes of market data (MS-Excel) and qualitative information. Reviewing and collecting information from secondary sources Availability to work throughout the year based on project requirements - likely to require 35 hr per week depending on team needs Conducting interviews with key players along the value chain: manufacturers, suppliers, distributors, associations, government, etc. Perform retail audits of major retailers and stores around Hyderabad Researching and recruiting contacts for interviews. Networking to create long-term links with the industry is key. Generating MS-Word and PowerPoint reports in English. Requirements High level of numeracy. Ability to work with, analyze, and interpret data. Strong interest in market research and tenacity in the pursuit of information An innate curiosity to stay up to date with the evolution of the food and nutrition industry, more specifically on packaged and fresh food retail sales, food packaging and pet food. Food and nutrition experience is an advantage. Familiar with consumer trends in Hyderabad. Local direct knowledge is key. Strong communication skills and a willingness to find strong industry contacts. Fluency in English (reporting) and the local language (research). Previous experience working on a short-term contract basis or in a freelance capacity. Excellent time-management, organization and self-motivation skills. Proven proficiency with Microsoft Office (Word, PowerPoint, Excel) Flexibility to adapt to unexpected changes in project scope, starting dates, etc. Disposition to visit local stores to capture relevant product information and to discuss the industry with key staff. Benefits Continuous training in our market research methodologies via online courses and selected live training sessions. Collaboration with an international team across EMEA and beyond. The ability to contribute to research projects for top multinationals. The opportunity to develop and position yourself as a local market research expert. Flexible hours from the comfort of your home Please attach a copy of your current CV and a covering letter outlining your interest in the role and why you feel you are suited to the position. Please give an indication of your salary expectations. By applying to this post you are agreeing to our privacy policy and opting in to recruitment communication for 24 months. You may opt out at any time.

Job Description The Lead Data Scientist will deliver on activities related to the strategy, design, development, implementation of Data Science, Artificial Intelligence (AI) and Machine Learning (ML) for enterprise application functions. Frequently interacting with key stakeholders, the Data Scientist will lead and create advanced analytics models from conceptualization to completion. This position will support different products or lines of businesses to build innovations around AI. Responsibilities Collaborate with business functions/stakeholders on discovery for data science idea generation, provide ideas and influence as well as drive changes End-to-end ownership of work from ideation to production. Develop, manage and maintain Machine Learning and Deep Learning infrastructure from pipelines and modelling to machine learning products and decision support. Work with the business to understand the problem space, identify the opportunities, and translate our problems into analytical solutions Work with other Data Teams and Data Engineers to build upon our data collection, storage, and processing infrastructure Develop, distribute, support - standards, best practices, innovative and automation modeling techniques, and procedures Manage activities that take place during solution ideation, solution design, solution implementation, optimization, and operation Coordinate enhancements and maintenance of information systems to ensure highly reliable and cost-effective operation Qualifications 5+ years of Digital/Data/Analytics/Statistics experience, including 3+ years in Applied AI/ML and Data Science Design and conduct experiments, collect the data necessary to perform statistical hypothesis testing, and create inferences and recommendations Hands on experience in building Machine Learning-enabled products or working with large complex data sets Hands on working knowledge in ML techniques including classification, clustering, dimension reduction, regression, NLP, time series forecasting, and boosting to build explanatory, predictive, and prescriptive models appropriate for solving different problems Hands on experience with distributed data/computing and orchestration tools: Azure Databricks, Spark, MySQL etc. Hands on expertise with statistical techniques and their applications in business. Hands on coding experience with several languages: Python, JavaScript, Java, R etc. Experience with design and development of Generative AI models using state-of-the-art techniques Strategic planning experience that adapts to communication between technical and business stakeholders Strong verbal and written communication skills, interpersonal skills, and organizational skills Strong presentation skills with both technical and non-technical audiences Strong team leadership and/or project management experience with multiple simultaneous initiatives Skilled in the management of complex systems and decision-making under uncertainty Excellent time management skills and strong attention to detail, with experience in adhering to best practices of managing the life cycle of data-intensive ML projects About The Team At Wesco, we build, connect, power and protect the world. As a leading provider of business-to-business distribution, logistics services and supply chain solutions, we create a world that you can depend on. Our Company’s greatest asset is our people. Wesco is committed to fostering a workplace where every individual is respected, valued, and empowered to succeed. We promote a culture that is grounded in teamwork and respect. With a workforce of over 20,000 people worldwide, we embrace the unique perspectives each person brings. Through comprehensive benefits and active community engagement, we create an environment where every team member has the opportunity to thrive. Learn more about Working at Wesco here and apply online today! Founded in 1922 and headquartered in Pittsburgh, Wesco is a publicly traded (NYSE: WCC) FORTUNE 500® company. Wesco International, Inc., including its subsidiaries and affiliates (“Wesco”) provides equal employment opportunities to all employees and applicants for employment. Employment decisions are made without regard to race, religion, color, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, or other characteristics protected by law. US applicants only, we are an Equal Opportunity Employer. Los Angeles Unincorporated County Candidates Only: Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act.

Job Summary Detailed JD: We are currently seeking an experienced AI/ML engineer who will collaborate closely with cross functional teams to develop and deploy AI/ML powered features and tools that help generate new business, reduce significant costs to increase margin, and optimize employee experiences that ultimately drive business outcomes. As part of our team, you'll work with cutting edge AI/ML technologies and be at the forefront of the latest advancements in the field. Location-Hyderabad, Chennai, Bangalore, Pune Experiecne-5+ Yrs. Qualifications: Bachelor's degree (or equivalent) in computer science, mathematics, or a related field 5+ years of dedicated AI/ML and NLP experience Demonstrated expertise in designing and creating AI/ML models for ranking and recommendation systems, encompassing traditional machine learning, collaborative/content-based recommendation methods, as well as cutting-edge deep learning algorithms, reinforcement learning, and bandit techniques Experience with Graph-based algorithms and infrastructure Demonstrated history as a machine learning engineer or a similar role Exceptional communication and collaboration aptitudes An innovative mindset with a fervor for continuous skill development Outstanding problem-solving and analytical capabilities Profound mathematical and computational proficiency, including a deep grasp of probability, statistics, and algorithms Comprehensive expertise in machine learning frameworks, such as Tensorflow, Keras or PyTorch Familiarity with data structures, data modeling, and software architecture Proficient coding skills (Python, Java, C#, etc.), MLOps tools, Elastic Search Substantial experience in leveraging cloud-native solutions (AWS/Azure) for ML model implementation Hands-on experience with Natural Language Processing techniques (tokenization, entity extraction, BERT and GPT language models, etc.)

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The position is with the Communication BU and you would be responsible for supporting our business operations and sales analysis. The role demands sales business intelligence, reporting and analytics skill. Through sales reporting and analytics, the team provides visibility into the BUs sales pipeline, integrating information from sales, customer and financial sources for a complete and detailed overview of the sales performance. Roles & Responsibilities Supporting Sales and Delivery operations, Manage numbers such as revenue, OB, Invoicing, Billing, COD etc. Strong understanding and knowledge of statistics and should be able to apply statistical tools in carrying out predictive analytics. Design , Execute and Manage Sales Analytics and Reporting for large enterprise for sales insights Provide actionable insights from huge volume of data (Both Structured and Unstructured) using Data Mining, Data Cleansing techniques. Analyze results and set up reports, design dashboards containing relevant KPI, measures that would enable senior management and sales force towards decision making. Business analysis, decision support and working within various reporting systems for enhanced sales execution. Communicate and provide relevant recommendations to key leadership stakeholders - Sales/Presales/Leadership through analytics while addressing real business problems/issues/challenges. Summary: The Communications Lead will be responsible for developing and executing communication plans to promote our offerings Product & Services. This role requires a creative and strategic thinker with excellent communication skills and a proven track record in digital communication. Key Responsibilities: Develop and implement comprehensive communication strategies to enhance brand awareness and drive customer engagement.Create and manage content for various marketing channels, including social media, websites and email campaigns.Monitor and analyze market trends, competitor activities, and customer feedback to identify opportunities for website communication improvement.Collaborate with stakeholders to ensure consistent messaging and branding across all channels.Manage website campaigns and track the effectiveness of such initiatives.Equip go-to-market teams with the essential knowledge and language required to effectively position and sell our products, ensuring consistent and impactful customer interactions.Responsible for creating and executing focused enablement programs and collaterals designed to greatly boost success rates.Improve product knowledge and communication skills, helping cross-functional teams close more deals effectively and achieve higher success rates.Strategic alignment with leadership on a regular basis to coordinate initiatives with broader KPIs.Creation of content from training decks, case studies, playbooks, and other collaterals.Communicate consistently with stakeholders on program updates.Creating content for thought leadership, case studies and sales collaterals. About you: In order to succeed in this role, your background may look something like this:Masters degree in marketing, Communications, Business, or a related field.Minimum of 5 years of experience in marketing and communications, preferably in IT sector.Strong understanding of digital marketing, social media, and content creation.Excellent written and verbal communication skills.Ability to think creatively and strategically.

Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Your New Role… As a Senior Payroll Analyst, you will take ownership of the end-to-end payroll process for the UK and Ireland, ensuring accurate, timely, and compliant payroll delivery. You’ll play a key role by supporting process improvements and acting as a subject matter expert for all payroll-related matters. This position requires a high level of accuracy, strong analytical skills, and a proactive, solutions-oriented approach. Your Rol e Accountabilities… Lead the preparation, processing and reconciliation of UK and Ireland monthly payrolls and one bi-weekly payroll in collaboration with the WBD Payroll team in London. Act as escalation point for payroll-related queries from employees, managers and internal departments. Ensure all payroll processes comply with UK and Ireland legislation, company policy and audit requirements. Drive continuous improvement by identifying inefficiencies, recommending enhancements, and participating in payroll system updates and any processing improvement projects. Collaborate cross-functionally with Legal, Finance, and People & Culture (P&C) teams to ensure ongoing payroll compliance and ensure alignment across teams. Manage year and processes including P60s and statutory reporting. Oversee preparation and submission of monthly statistics reports to Office of National Statistics and other external bodies. Essential Qualifications & Experience… 3-5+ years of experience working in payroll, including to managing multiple high-volume payrolls. Strong working knowledge of UK and Ireland Payroll legislation, statutory reporting, pensions and Auto-Enrolment. Proficiency in English (written and spoken), with strong interpersonal and communication skills. Excellent analytical and problem-solving abilities. Strong time management skills with the ability to work effectively under pressure. Confident in handling complex queries and calculations. Advanced proficiency in Excel (e.g. pivot tables, formulas and lookups). Desirable Experience using ServiceNow or similar ticketing systems. Familiarity with Workday payroll systems. Previous involvement in payroll related projects or systems implementations. Shift Timings:- 3PM to 11 PM IST How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law. If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.

Note: Looking for Immediate Joiner. Job Title: Machine Learning Engineer (AI ML) Job Summary: Primary Skills • Master degree from Computer science, Mathematics, Statistics and other relative disciplines • Experience using statistical computer languages (Python, R, etc.) to manipulate data and draw insights from large data sets. • Knowledge of a variety of machine learning techniques (clustering, decision trees, boosting, artificial neural networks, etc.) and their real-world advantages/drawbacks. • Knowledge of popular ML and non-ML libraries: Tensorflow, Torch, Sklearn, Scipy, Xgboost,… • Knowledge of popular cloud infrastructure: Google Cloud, AWS, Microsoft Azure, … • Excellent written and verbal communication skills for coordinating across teams. • Experience in code management using Git Secondary Skills • Experience in Ecommerce or Advertising verticals is a plus • Experience on NLP, Time Series Forecasting, Computer vision, and other relative domains is a plus • Experience on popular NLP and Computer vision libraries is a plus: Spacy, NLTK, OpenCV, … • Experience on parallel computing and GPU acceleration is a plus • Experience on LLM’s utilization and fine tuning, GEN AI solutioning along with RAG is a must Mine and analyze data from company databases to drive optimization and improvement for product development, marketing techniques and business strategies.  Assess the effectiveness and accuracy of new data sources and data gathering techniques.  Transforming data science prototypes and applying appropriate algorithms and tools.  Develop custom ML and non-ML models and algorithms to apply to data sets.  Define the evaluation approach of models  Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.  Coordinate with different functional teams to implement models and monitor outcomes.  Keeping abreast of developments in corresponding domains Note: Looking for Immediate Joiner only.

Role Overview We're seeking a talented Lead Data Scientist to join our Finance Analytics team. In this role, you'll analyze financial data to drive insights, identify patterns, and recommend automation opportunities within our finance and accounting functions. You'll apply your technical expertise in data engineering and advanced analytics to transform raw financial data into meaningful insights, working collaboratively with finance teams to understand business needs Key Accountabilities/Decision Making & Influence Apply advanced analytics techniques to extract insights from financial data sets Build and optimize data pipelines using Python, Spark, and SQL to prepare data for analysis Develop and implement machine learning models to identify patterns, anomalies, and opportunities for automation Create interactive dashboards and visualizations using BI tools that communicate key insights effectively Collaborate with finance teams to understand their data needs and translate them into analytical solutions Identify and track relevant metrics that provide meaningful business intelligence Support data-driven decision making by presenting clear, actionable findings Conduct exploratory data analysis to uncover trends and relationships in financial data Mentor junior data scientists on analytical techniques and best practices Implement statistical analysis methods to validate findings and ensure data quality Document methodologies, processes, and results to ensure reproducibility and knowledge sharing Knowledge, Skills & Attributes 5-7 years of experience in data science or analytics, with exposure to financial or business data Strong technical background in data engineering and pipeline development Advanced proficiency in Python and experience with Spark for large-scale data processing Experience working with data from Snowflake Data Lake or similar cloud-based data platforms Demonstrated skill in building dashboards and visualizations using BI tools (Power BI, Tableau, Looker, etc.) Proficiency in SQL for data extraction and manipulation Experience applying machine learning algorithms to solve business problems Ability to communicate technical concepts to non-technical stakeholders Understanding of basic financial concepts and metrics (no deep finance expertise required) Strong problem-solving skills and attention to detail Bachelor’s degree in computer science, Data Science, Statistics, or related technical field We would be thrilled if you bring in the below: Experience working in cross-functional teams in fast-paced environments Familiarity with agile methodologies and collaborative development practices Experience with version control systems (Git) and collaborative coding Knowledge of cloud computing platforms (AWS, Azure, GCP) Understanding of data governance and data quality best practices Demonstrates curiosity and a willingness to learn about finance and accounting concepts Shows creativity in presenting data insights through effective visualizations Maintains a continuous learning mindset, staying updated with emerging technologies and techniques in data science We know that everyone has different wants and needs, which is why along with a highly competitive base salary we support our people and their loved ones with a variety of perks and benefits. As part of our team some of the benefits you can expect to receive are: Medical Insurance, Group Accidental Coverage/Insurance, Group Term Life Insurance Company Paid Subscription to Calm – The #1 app for mental fitness. Employee Referral Program – Bring the Best to Signant Health and earn a reward. Wellness Program – Participate in challenges and earn points for rewards. Proof! – Signant’s Employee Recognition Program where you can accumulate points to redeem exciting merchandise, gift cards, tickets, and more. Burn Along – Digital fitness and wellness platform Does this sound like something you’d like to explore? Then we’d love to hear from you! To apply, please submit your CV and a cover letter letting us know why you think you’d be perfect for this role. We will begin reviewing submissions during the application period and will fill the vacancy as soon as a suitable candidate is identified. Please note that Signant does not accept unsolicited resumes from Third Party vendors. At Signant Health, accepting difference isn’t enough—we celebrate it, we support it, and we nurture it for the benefit of our team members, our clients and our community. Signant Health is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status.

Job Description About Goldman Sachs At Goldman Sachs, we connect people, capital and ideas to help solve problems for our clients. We are a leading global financial services firm providing investment banking, securities and investment management services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals. For us, it’s all about bringing together people who are curious, collaborative and have the drive to make things possible for our clients and communities. Asset Management About Bringing together traditional and alternative investments, we provide clients around the world with a dedicated partnership and focus on long-term performance. As the firm’s primary investment area, we provide investment and advisory services for some of the world’s leading pension plans, sovereign wealth funds, insurance companies, endowments, foundations, financial advisors and individuals, for which we oversee more than $2 trillion in assets under supervision. Working in a culture that values integrity and transparency, you will be part of a diverse team that is passionate about our craft, our clients, and building sustainable success. We are: Investors, spanning traditional and alternative markets offering products and services Advisors, understanding our clients’ priorities and poised to help provide investment advice and strategies that make sense for their portfolios Thought Leaders, providing timely insights across macro and secular themes to help inform our clients’ investment decisions Innovators, using our suite of digital solutions to help our clients address complex challenges and meet their financial goals Role Description AWM Private Credit is currently seeking Analysts to specialize in asset management across our large, diverse and dynamic portfolio. Team members will play an integral role in ongoing portfolio company monitoring, which is a critical element of the investing process, as well as portfolio management. Team members will be aligned by Private Credit strategy. Responsibilities This position description is intended to describe the duties most frequently performed by an individual in this position. It is not intended to be a complete list of assigned duties but to describe a position level. The role shall be performed within a professional office environment. Goldman Sachs has health and safety polices that are available for all workers upon request. There are no specific health risks associate with the role. Produce and present periodic portfolio company monitoring, including but not limited to company performance, comparison of actual results to company projections and the GS Private Credit underwriting case, ESG metrics and key company developments, particularly those with implications for investment performance Maintain portfolio company models as part of the asset management process Track company compliance with financial covenants Participate in portfolio company meetings with management teams and reflect key insights in updates to investment outlook Prepare and maintain portfolio analytics for portfolio management purposes Participate in strategic projects regarding portfolio management, portfolio monitoring and performance tracking. Prepare and maintain investment and fund level statistics used for internal tracking, investor reporting as well as marketing materials Liaise across internal business teams and external counterparties to service investment level requests Qualifications Strong academic background with an MBA or Chartered Accountant or equivalent Minimum of 1-3 years of relevant experience Accounting knowledge, valuation and financial modeling aptitude (required) Solid analytical / logical mindset and attention to detail Strong written and verbal communication skills Strong project planning, organization, and time management skills Ability to work under pressure and meet deadlines. About Goldman Sachs At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: © The Goldman Sachs Group, Inc., 2025 All rights reserved. Goldman Sachs is an equal employment/affirmative action employer

Overview We are an integral part of Annalect Global and Omnicom Group, one of the largest media and advertising agency holding companies in the world. Omnicom’s branded networks and numerous specialty firms provide advertising, strategic media planning and buying, digital and interactive marketing, direct and promotional marketing, public relations, and other specialty communications services. Our agency brands are consistently recognized as being among the world’s creative best. Annalect India plays a key role for our group companies and global agencies by providing stellar products and services in areas of Creative Services, Technology, Marketing Science (data & analytics), Market Research, Business Support Services, Media Services, Consulting & Advisory Services. We are growing rapidly and looking for talented professionals like you to be part of this journey. Let us build this, together . Responsibilities Translating data into clear, compelling, and actionable insights by leveraging advanced analytics tactics conducted by central resource. Developing and executing attribution and measurement projects. Ensuring timely follow through on all scheduled and ad hoc deliverables. With the leaders of the functional specialty teams, keeping track of projects being run by the Functional Specialists to ensure they are done on time and to right level of quality. Development of presentations to clients, including the results of attribution and modelling projects in a clear and insightful narrative, digestible by a lay person. Understanding of consumer and marketplace behaviors, particularly those that most impact business and marketing goals. Qualifications 3-5 years of hands-on experience in data science and analysis, demonstrating strong problem-solving capabilities and story telling capabilities Strong python skills and Data science experience are mandatory to have Market Mix Modelling is good to have Ability to create data-driven stories from large and complex datasets. Excellent written and verbal communication skills, with the ability to present data insights effectively. Proven ability to maintain positive client relationships, ensuring satisfaction and collaboration. Strong presentation skills, utilizing MS PowerPoint or other relevant platforms. Ability to work in a dynamic team environment and effectively handle multiple projects while meeting deadlines.

Job Title: Data Analyst Location: Delhi About Innefu Labs Pvt Ltd: Innefu Labs is a leading cybersecurity and data analytics company, providing innovative solutions to government and corporate clients. Our mission is to leverage advanced technology to solve complex challenges and deliver value-driven results. Join our dynamic team and be a part of the future of cybersecurity and analytics. Job Summary: We are looking for a passionate and detail-oriented Data Analyst to join our data analytics team. The ideal candidate will have strong analytical skills and the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. Key Responsibilities: Collect and analyze large datasets to derive actionable insights. Develop and implement data collection systems and other strategies that optimize statistical efficiency and data quality. Identify, analyze, and interpret trends or patterns in complex data sets. Filter and clean data by reviewing reports and performance indicators to locate and correct code problems. Work with management to prioritize business and information needs. Locate and define new process improvement opportunities. Create detailed reports and presentations to communicate findings to stakeholders. Collaborate with other teams to integrate and apply data analysis to ongoing projects. Qualifications: Bachelor’s degree in mathematics, Economics, Computer Science, Information Management, or Statistics. Proven working experience as a Data Analyst or Business Data Analyst. Technical expertise regarding data models, database design development, data mining, and segmentation techniques. Strong knowledge of and experience with reporting packages (Business Objects, etc.), databases (SQL, etc.), programming (XML, Javascript, or ETL frameworks). Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS, etc.). Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. Adept at queries, report writing, and presenting findings. Excellent communication and collaboration skills. Preferred Skills: Experience in the cybersecurity industry. Familiarity with machine learning techniques and algorithms. Proficiency in Python/R for data analysis.

"Are you passionate about solving logical problems and working through challenging math? Turing is looking for PhD-level researchers in mathematics to test the reasoning capabilities of large language models (LLMs). You’ll create math problems, analyze model responses, and identify gaps in logic or understanding. The goal is to measure how well these models handle abstract thinking and structured problem-solving. What does day-to-day look like? You’ll create math problems, review how the AI solves them, and share insights on how well it understands complex reasoning and logical steps. You’ll take on tasks such as: Find the number of permutations of 10 elements that consist only of exactly 3 disjoint cycles. How many distinct convex polyhedra can be formed using exactly 10 vertices such that all faces are triangles and the polyhedron has genus zero? Eligibility Currently enrolled in or have completed a Ph.D. or Postdoctoral in Mathematics, Applied Mathematics, Statistics, or a related field Strong research and analytical skills Able to provide clear, constructive feedback with examples Strong written communication, especially in remote settings Comfortable working independently Stable computer and internet access 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? Remote work flexibility Work on high-impact AI research projects Possibility of contract extension based on performance Collaborate with experts worldwide to test and refine AI models."

Job Overview TE Connectivity's Quality Assurance Teams are responsible for all or part of an organization's Quality Management System, including conformance and continuous improvement initiatives. They work on systemic evaluation of products, services, facilities, manufacturing, or business processes, to ensure that standards of quality are being met. Develop and implement quality plans, programs and procedures using quality control statistics, lean manufacturing concepts, and six-sigma tools. They review, analyze and report on quality discrepancies, investigate problems and execute quality audits, and develop disposition and corrective actions for recurring discrepancies. The team works closely with manufacturing, engineering, customers, or suppliers and subcontractors to ensure requirements are met Under limited supervision, monitor, evaluate, select, and apply standard quality engineering principles and techniques to assigned business problems. Ensures results meet established needs and goals of TE Connectivitys AD&M Division. Job Responsibilities Key Responsibilities Act as organization and suppliers' single-point-of-contact for topics and issues related to supplier quality. Lead supplier related APQP activities to ensure incoming quality is proactively planned, prepared, and ensured in advance before PPAP and production release. Continually improve supplier performance through coaching, teaching, training, consequence enforcement, supplier awards and motivation, supplier restriction and disqualification, etc. Measure and communicate supplier performance to those suppliers and the organization. Evaluate, qualify, approve appropriate new, competitive suppliers (including search for new suppliers), in collaboration with the commodity teams. Review and approve/reject/amend supplier Production Part Approval Process (PPAP) submissions for new product releases and qualifying changes to existing components. Monitor quality data within the operating systems to ensure data accuracy and develop reporting systems to accurately document and record supplier trends and performance. Periodically monitor quality specifications to ensure supplier compliance. Work with engineering to clarify and change specs regarding incoming goods when necessary. Clearly communicate (and enforce) TE's requirements and expectations to suppliers. Solicit, drive, monitor, review, approve and validate containment/corrective/preventive actions by suppliers. Facilitate supplier quality roadmaps leading to improved supplier performance. Conduct process and system audits of suppliers and maintain working knowledge of AS9100. Participate to support QBRs (Quarterly Business Review) with key suppliers. Coordinate TE Supplier Days with key suppliers. Perform source inspection and product assessments at suppliers. Lean Supplier Development activitiestraining, Kaizens, technical reviews, etc Required Skills EducationBachelors Degree (Electrical Engineering, preferred, Process Engineering, Manufacturing Engineering, Chemical Engineering or other engineering discipline) or other equivalent work experience. 8+ years experience in a manufacturing environment. AS9100 Lean Auditor certified. 5+ years in a supplier development role Lean Six Sigma Blackbelt certification. 5+ years conducting quality audits. Practical application of 8D, 5-why and Ishikawa Excellent people skills. Must be able to travel is 50% - 75% of the time. Competencies ValuesIntegrity, Accountability, Inclusion, Innovation, Teamwork

Job Overview TE Connectivitys R&D/Product Development Engineering Teams conceive original ideas for new products, introduce them into practice. They are responsible for product development, and qualification from market definition through production and release; assist in the qualification of suppliers for new products to ensure suppliers deliver quality parts, materials, and services for new or improved manufacturing processes; conduct feasibility studies, testing on new and modified designs; direct and support detailed design, testing, prototype fabrication and manufacturing ramp. The R&D/Product Development Engineering Teams provide all required product documentation including, but not limited to, Solid Model, 2D/3D production drawings, product specifications, and testing requirements. They create and modify detailed drawings and drafting or conceptual models from layouts, rough sketches or notes and contribute to design modifications to facilitate manufacturing operation or quality of product. Typical fields of expertise includematerials, mechanics and systems, electrical, optics, chemistry, software, automation systems, packaging, testing and measurement, and manufacturing of electrical, mechanical and electronic components, products, and their integration into systems. KEY RESPONSBILITIES: Minimum of 5+ years of work experience in a signal integrity engineering role or related experience Minimum of 3+ years of work experience in connector development - Experience with interconnect design or experience with connector &/or cable/cable assembly design (high speed twinax cables, direct attach copper (DAC) cables) Demonstrated experience using Signal integrity analysis tools (Agilent ADS, Ansys HFSS or equivalent, 3D modeling tools) and testing equipment (including VNA, TDR and BERT). A solid understanding of statistical analysis and AI training. A solid understanding of SI knowledge, including electromagnetic theory and electrical circuit behavior Strong analytical capabilities to interpret simulation and lab data to identify issues and provide solutions to fix identified problem. Familiarity with printed circuit board design, fabrication and assembly. Familiar with material, manufacturing process, and manufacture inspection. Familiar with at least one programming language, such as Matlab, python, C++, VB, etc. Excellent verbal and written communication skills Ability to work in a global environment able to accommodate varying time zones, fluent in English (verbal/written), able to collaborate with individuals across geographies Solid presentation skills with an ability to clearly communicate technical concepts to diverse audiences in English Individual must be highly motivated, a quick learner, and able to work independently Competencies ValuesIntegrity, Accountability, Inclusion, Innovation, Teamwork

Job Overview TE Connectivity's Manufacturing Engineering Teams are process leaders for stamping, molding or assembly related topics, ensuring the processes are running at optimum levels for quality and output. They are experts in mold tooling, die tooling, machining, and assembly techniques, possessing extensive knowledge of the associated manufacturing processes which may include the optimization and standardization of stamping / molding / assembly or other processes within the manufacturing environment. Manufacturing Engineering Teams enable the TE business unit plants to reach TE Operating Advantage (TEOA) requirements, roll out Centers of Excellence (COE), Best Demonstrated Practices (BDPs) and advise plants on tool and machine duplications / corrections / improvements. They design and develop manufacturing process and automation platforms and apply them for the realization of new product developments as well as optimization of existing products already in production. The Teams also support Product Development in the selection and optimization of tools for piece part production and the selection of the most suitable manufacturing concepts relative to planned manufacturing quantities, quality requirements and manufacturing location. They act as interface between engineering and production to ensure manufacturability of new designs and smooth production ramp up as well as support the research & development teams to produce sample manufacturing equipment, product samples and prototypes. Responsibility: Analyze new technology and manufacturing processes. Plan and assess the feasibility of new and running projects. Hands on experience in new product development, costing , establish components with optimized CT. Responsible for programming turn, mill, mill-turn, multi-axis machine and process. Product estimation & product costing for machined components, subcon activities, standard parts & assembly process, make vs buy analysis as per scope of supply. Implementing digital factory, cloud-based systems, AI Vision, AR/VR, IOT, Industry 4.0, Machine connectivity, Traceability Systems through wi-fi as well as wired network. Vendor management, Installation, and commissioning of new Equipments and co-ordinate with Vendor/CFT for complete process validation. Establish tooling, gauge & review fixture designs, CPC calculation and proving out FAI parts and coordinating with shopfloor for mass production. Develop new process , toolings and create all process documents like PFC, PFMEA, Control plan and SOP by understanding the depth of product requirements Prepare CT & Investment for new product and always work on to reduce cost by optimization/automating process to reduce cost. Responsible for ordering spares and vendor management, down time reduction Capacity & Layout planning/execution for new product line. Support manufacturing for Continuous Improvement, quality issues on the floor, new launches, engineering changes and Lessons Learnt. Develop and implement systems that optimize all phases of production process. Conduct Root-Cause Analysis. Review designs for manufacturing feasibility, suggest changes to the design to ensure product cost effectiveness Establish Tool management System (TMS), Calibration management, Document management Systems like Vicidocs, IQ-RM, Etc. Implement Process monitoring and Control (SPC & SQC), quality traceability Systems using IOT technology. Hands on experience on mechanical 3D design softwares like CAD/CAM , NX CAM, NX CAD, Solid CAM, Vericut, SAP MM, TCL & C Language (Basic Desired Candidate Profile: EDUCATIONAL/CRITICAL EXPERIENCE B.E./B. Tech in Electrical, Electronics, Mechanical, Mechatronics, or similar technical field. MBA in Marketing would be an added advantageKEY COMPETENCIES Strong analytical thinking and eagerness to learn about product development and market dynamics. Effective communication and collaboration skills across technical and non-technical teams. Basic knowledge or exposure to CAD tools, technical drawings, or electrical/mechanical components are a plus. Familiarity with Excel, PowerPoint, and willingness to learn tools like Power BI or Salesforce. Passionate about making a real-world impact through innovative product design and business alignment. Knowledge of basic electrical and electronics circuits, statistical analysis tools and data analysis Competencies ValuesIntegrity, Accountability, Inclusion, Innovation, TeamworkEOE, Including Disability/Vets

Job Title Procurement Supplier Engineer IGTS MoS Job Description Philips is a global leader in health technology, committed to improving billions of lives worldwide and striving to make the world healthier and more sustainable through innovation. Driven by the vision of a better tomorrow. But it’s not just what we do, it’s who we are. We are 80,000, wonderfully unique individuals, with two things in common. An unwavering sense of purpose and a relentless determination to deliver on our customers’ needs. It’s what inspires us to create meaningful solutions – the kind that make a real difference – when it matters most. The world and our customers’ needs are changing faster than ever before and while we are proud of what we do already, we know we can do more. That’s why we need you, to help us tackle increasingly complex challenges posed by ever evolving health and well-being needs. You are responsible for Procurement Supplier Quality Engineer (NPI) Responsible for achieving a state of high quality performance at our Supplier partners through the application and practice of Advanced Product Quality Planning ‘APQP’ during the industrialization of Philips products/parts within the New Product Introduction ‘NPI’ process. Procurement Supplier Quality Engineer (Sustaining) Responsible for achieving a state of high quality performance at our Supplier partners and pursuing continuous quality improvement through the application of Quality Engineering practices on Philips products/parts/services procured from suppliers throughout the product lifecycle including sustaining change management Producing and completing Supplier Quality Engineering Activities and related documentation under direct supervision. Assist in Qualification of Parts, identification of supplier processes for CTQ’s, Supplier Process Control plans to ensure product quality; by authorizing, supplied parts meets specifications, and the control limits/tolerances for CTQ parameters are met. Assist in qualifying and sustaining sub-processes of supplier including supplier audit. Support R&D during product development by providing insights on manufacturability and integration and work as quality gatekeeper for all documentation delivered as part of supplier transfer activity. Provide Quality oversight of product/process change requests from suppliers, ensuring appropriate regulatory review and adequate validation to support requested changes. Drive supplier improvement via SQIP (Supplier Quality Improvement Plans) Lead Supplier Change Notice process with support from Engineering, Quality Engineering / Assurance, Regulatory, ME, R & D, Clinical, etc. Performing data analysis and reporting for Supplier Quality Performance Monitoring, assisting in the development of Quality processes relating to Supplier Quality Control’s. Conduct supplier audits and supplier qualification. Experience with CPK, APQP, MSA, FMEA, Process Capability Statistics in relation to Six Sigma, which is essentially process optimization, understands QSIT (Quality System Inspection Technique), serve as a Quality interface to suppliers supporting quality and productivity goals, proactively monitoring, measuring product/process quality, performance trends, and troubleshooting of production/release issues. Monitor DPPM, FPY, FDR, LAR, SCAR ageing and effectiveness and take appropriate actions to maintain them within acceptable limits. Supports Design for Excellence (DfX) collaboration between R&D and Suppliers Critical to Quality characteristics flow down to Suppliers, Supports Quality Engineering capability assessments of potential new suppliers. Support Supplier improvement and development on APQP. Supports with Additions/Changes/Deletion to Approved Supplier List, Analysis of defects for determining if supplier caused and then notified. Part Submission Warrant plans, deliverables, line release and completion. Technical deep dive analysis to troubleshoot issues, carry out full root cause analysis and ensure preventive actions to avert the issues. To succeed in this role, you should have the following skills and experience Bachelor’s degree, preferably in Electrical/Electronic Engineering Certified in ISO 13485: 2016 and /or 21CFR Part 820 Certified IPC Specialist; has thorough knowledge of SMT process, electronic components, and electrical assemblies. 7 to 10 years’ experience in establishing and maintaining regulated Supplier Management Systems. Proven program management skills and must have handled supplier development projects. Exceptional communication skills. Experience with delivering tools/methods for establishing QMS Quality Manuals and Intra-company Quality Agreements In return, we offer you A meaningful career, with new challenges in our dynamic organization, working in an encouraging multinational and multicultural environment. We are happy to provide you with this opportunity to work with new technologies. You will be surrounded by passionate and committed, colleagues who share your ambition to create outstanding customer experiences. Your work will be ambitious and full of opportunities for growth. Variety and challenge will be part of your daily routines. Our commitment to inclusion and diversity At Philips, we provide equal opportunities to all our employees and to all eligible applicants for employment in our company , irrespective of age, color, disability, nationality, race, religion, gender, sexual orientation (LGBTQ +), and all aspects that make individuals unique. Encouraging diversity and fostering inclusion are key to our mission of improving the lives of 2.5 billion people a year by 2030 through meaningful innovation. We have fair, transparent, and clear employee policies which promote diversity and equality, in accordance with currently applicable law. For, we believe that life is better when Why should you join Philips? Working at Philips is more than a job. It’s a calling to create a healthier society through meaningful work, focused on innovative, customer-first health technology solutions. Help us improve the health and well-being of billions of people, every year. Ultimately creating a career that no one could have planned for. Even you. #youareyou

We are seeking an experienced Data Science Engineer with 3+ years of experience to design and implement advanced AI/ML solutions. The role focuses on developing AI applications and developing cloud-native solutions. You will work on: We are looking for a self-driven Data Science Professional to be a key member of our Data & AI Practice. We help many of our clients in building advanced analytics solutions (from traditional ML to deep learning, Computer Vision, Gen AI & Automation). You will work on some of the cutting-edge AI technologies to build meaningful products & solutions. Job Location: Pune What you will do (Responsibilities): Perform high-level work both independently and collaboratively as a project member. Collaborate with the Product Management team, elicit AI/ML use case-specific requirements, explore and evaluate approaches Develop Computer Vision, NLP, Deep Learning, multi-modal Gen AI-based applications & demos according to the requirements and needs. Select appropriate datasets and data representation methods. Explore new tools, technologies, frameworks in ML, DL, CV, Gen AI technologies, and experiments. Mentor, guide junior team members What you bring (Skills): 3+ years of end-to-end project lifecycle experience (Analysis, Design, Development, Testing, Deployment & Monitoring) in building enterprise grade AI applications Sound knowledge in Linear Algebra, Statistics, Probability Strong Knowledge & Experience in Python and Python data science ecosystem : Pandas, NumPy, SciPy, scikit-learn, NLTK etc. Experience with machine learning, deep learning, and/or NLP/NLG frameworks (like Keras, TensorFlow or PyTorch etc.), HuggingFace Transformers and libraries (like scikit-learn, spacy, CoreNLP etc.) Knowledge of training and deploying deep learning models for computer vision tasks. Knowledge of image processing, filtering, object detection frameworks (e.g., YOLO, Faster R-CNN, Mask R-CNN), image segmentation techniques (semantic, instance, panoptic), and image classification . Sound Knowledge in Generative AI /LLM’s models, frameworks, tools & technologies. Experience in Prompt Engineering & Langchain / LlamaIndex, Vector search, RAG frameworks, Function Calling, Agentic Frameworks, Document Processing Experience in Cloud-based services such as AWS (Preferred), Azure or GCP Experience with async programming and RESTful APIs (FastAPI) Sound understanding of CI-CD, Containerization & Orchestration Excellent analytical, problem solving and communication skills Great if you know (Skills): Experience with Scrum and/or other Agile development processes Exposure to MlOps, LLMOps – model and experiment versioning, hyper parameter tuning, model deployment and monitoring aspects Sound understanding of data visualization aspects Advantage Cognologix: A higher degree of autonomy, startup culture & small teams Opportunities to become an expert in emerging technologies Remote working options for the right maturity level Competitive salary & family benefits Performance based career advancement About Cognologix: Cognologix helps companies disrupt by reimagining their business models and innovate like a Startup. We are at the forefront of digital disruption and take a business-first approach to help meet our client’s strategic goals. We are a Data focused organization helping our clients to deliver their next generation of products in the most efficient, modern, and cloud-native way.

Nice to meet you! We’re a leader in data and AI. Through our software and services, we inspire customers around the world to transform data into intelligence – and questions into answers.We’re also a debt-free multi-billion-dollar organization on our path to IPO-readiness. If you’re looking for a dynamic, fulfilling career coupled with flexibility and world-class employee experience, you’ll find it here. About The Job We're seeking a skilled Software Developer to join the analytics platform team at SAS. In this role, you will work on our core codebase, primarily in C, focusing on Compute Core and Compute Server functionalities. You will participate in developing the next generation of our analytic engine, helping to shape the future of SAS analytics. You will collaborate with an international team of experienced developers, bringing diverse perspectives to our projects. You will also, develop and maintain enterprise-class software used by organizations around the world. If you're passionate about software development and interested in advancing the state of analytics technology, this role might be for you! As a Software Developer, You Will Program in C and Golang in a Linux and/or Windows environment. Design and develop high quality, testable and scalable software solutions within established timelines while adhering to R&D best practices and processes. Participate in scoping, planning, and tracking work on complex software development projects in a continuous delivery environment. Actively participate in design, code, and documentation reviews. Maintain accountability for the entire life cycle of the product code including providing technical support for both internal and external consumers. Required Qualifications Bachelor’s degree in computer science, Engineering, Statistics, Math, or a related discipline. 5+ years software development experience in C/Golang. Strong computer programming skills with excellent analytical and problem-solving skills Experience with CI/CD pipeline and associated tools like Git, Gerrit, Jenkins, GitHub, etc. Portable coding/testing for multiple hosts like Windows and Unix Ability to understand complex logic / design between clients / servers. Can assimilate technical material and handle deadlines in a multiple task environment. Experience with SAS programming. Experience with cloud technologies and providers - Kubernetes, Azure, AWS, GCP, OpenShift. Preferred Qualifications Software development experience in any of the following: Golang, Java, Python, Rust, Shell Scripts, etc. Experience programming in a threaded kernel environment (TK/MVA – Multi Vendor Architecture) Experience with SAS programming. Familiarity with cyber security in cloud computing/Kubernetes. Some knowledge about programming for sockets, ciphers, authentication methods. Familiarity with Linux. Diverse and Inclusive At SAS, it’s not about fitting into our culture – it’s about adding to it. We believe our people make the difference. Our diverse workforce brings together unique talents and inspires teams to create amazing software that reflects the diversity of our users and customers. Our commitment to diversity is a priority to our leadership, all the way up to the top; and it’s essential to who we are. To put it plainly: you are welcome here.