Looking for challenging role If you really want to make a difference - make it with us Can we energize society and fight climate change at the same time At Siemens Energy, we can. Our technology is key, but our people make the difference. Brilliant minds innovate. They connect, create, and keep us on track towards changing the world’s energy systems. Their spirit fuels our mission. Our culture is defined by caring, agile, respectful, and accountable individuals. We value excellence of any kind. Sounds like you Job Summary: We are seeking a dynamic and experienced leader in field of AI & Advanced Analytics to lead our AI/ML initiatives and drive transformative projects across our grid technology organization. The ideal candidate will have a strong background in AI, machine learning, and data analytics, with a proven track record of delivering innovative solutions that align with business objectives in the energy sector, particularly in transmission planning and operational studies. Your new role – challenging and future- oriented Lead the AI/ML practice, providing technical leadership and strategic direction for AI initiatives. Oversee the end-to-end deployment of AI/ML projects, ensuring timely delivery and alignment with business goals. Collaborate with cross-functional teams to align AI/ML projects with key business functions in our digital grid business, with major stack holders as engineering, project operations, and senior management. Utilize programming languages and tools such as Python, R, SQL, MATLAB, and cloud platforms (AWS) to deliver data-driven solutions. In addition, support in execution of steady-state and dynamic contingency analyses using power flow models (PSSE, PowerFactory, PSCAD, VSAT, TSAT, or Powerworld). Designs and performs production cost modeling studies to accomplish economic transmission planning under the direction of a senior level engineer or management. Support development of improved models for transmission planning and market forecasting processes. Assists in providing input and analyses from the planning perspective on market/protocol design issues. Assists in providing market simulation/forecasting and transmission planning analyses to support other activities in grid technology business. Communicate complex technical concepts to non-technical stakeholders effectively. Lead and manage international teams, ensuring effective collaboration and knowledge sharing . We don’t need superheroes, just super minds Master's or Ph.D. in Computer Science, Electrical Engineering, Physics, Mathematics, or a related quantitative field, OR equivalent industry experience with a strong demonstrable research background in AI/ML. Minimum of 8-10 years of experience in AI, machine learning, and advanced analytics, with a focus on the energy sector, especially the transmission business. Proficiency in programming languages (Python, R, SQL) and data analytics tools (Pyspark, Databricks). Experience with deep learning frameworks (Keras, TensorFlow, Pytorch) and cloud computing (AWS). Prior experience in transmission planning and operational studies (100 kV ~ 765 kV), power system performance analyses including steady state analysis, dynamic stability, voltage stability, protection coordination and control system. Prior experience in power system simulation programs (e.g. PSS/E, TARA, PSLF, DigSilent PowerFactory, ETAP, PSCAD/EMTDC, MATLAB/Simulink) An analytical and strategic mindset, always eager to explore and implement innovative solutions and applying problem-solving skills within a consulting environment. Experienced in product development and process improvement. Past track record of driving significant business outcomes through data-driven solutions. Strong leadership and mentorship abilities. Excellent communication and interpersonal skills. Analytical and strategic mindset, with a passion for exploring and implementing innovative solutions. We’ve got quite a lot to offer. How about you This role is based at Site (Gurgaon). You’ll also get to visit other locations in India and beyond, so you’ll need to go where this journey takes you. In return, you’ll get the chance to work with teams impacting entire cities, countries – and the shape of things to come. We’re Siemens. A collection of over 379,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and imagination and help us shape tomorrow.

Appnext offers end-to-end discovery solutions covering all the touchpoints users have with their devices. Thanks to Appnext’s direct partnerships with top OEM brands and carriers, user engagement is achieved from the moment they personalize their device for the first time and throughout their daily mobile journey. Appnext ‘Timeline’, a patented behavioral analytics technology, is uniquely capable of predicting the apps users are likely to need next. This innovative solution means app developers and marketers can seamlessly engage with users directly on their smartphones through personalized, contextual recommendations. Established in 2012 and now with 12 offices globally, Appnext is the fastest-growing and largest independent mobile discovery platform in emerging markets. As a Machine Learning Engineer , you will be in charge of building end-to-end machine learning pipelines that operate at a huge scale, from data investigation, ingestions and model training to deployment, monitoring, and continuous optimization. You will ensure that each pipeline delivers measurable impact through experimentation, high-throughput inference, and seamless integration with business-critical systems. This job combines 70% machine learning engineering and 30% algorithm engineering and data science. We're seeking an Adtech pro who thrives in a team environment, possesses exceptional communication and analytical skills, and can navigate high-pressure demands of delivering results, taking ownership, and leveraging sales opportunities. Responsibilities: Build ML pipelines that train on real big data and perform on a massive scale. Handle a massive responsibility, Advertise on lucrative placement (Samsung appstore, Xiaomi phones, TrueCaller). Train models that will make billions of daily predictions and affect hundreds of millions users. Optimize and discover the best solution algorithm to data problems, from implementing exotic losses to efficient grid search. Validate and test everything. Every step should be measured and chosen via AB testing. Use of observability tools. Own your experiments and your pipelines. Be Frugal. Optimize the business solution at minimal cost. Advocate for AI. Be the voice of data science and machine learning, answering business needs. Build future products involving agentic AI and data science. Affect millions of users every instant and handle massive scale Requirements: MSc in CS/EE/STEM with at least 5 years of proven experience (or BSc with equivalent experience) as a Machine Learning Engineer: strong focus on MLOps, data analytics, software engineering, and applied data science- Must Hyper communicator: Ability to work with minimal supervision and maximal transparency. Must understand requirements rigorously, while frequently giving an efficient honest picture of his/hers work progress and results. Flawless verbal English- Must Strong problem-solving skills, drive projects from concept to production, working incrementally and smart. Ability to own features end-to-end, theory, implementation, and measurement. Articulate data-driven communication is also a must. Deep understanding of machine learning, including the internals of all important ML models and ML methodologies. Strong real experience in Python, and at least one other programming language (C#, C++, Java, Go…). Ability to write efficient, clear, and resilient production-grade code. Flawless in SQL. Strong background in probability and statistics. Experience with tools and ML models Experience with conducting A/B test. Experience with using cloud providers and services (AWS) and python frameworks: TensorFlow/PyTorch, Numpy, Pandas, SKLearn (Airflow, MLflow, Transformers, ONNX, Kafka are a plus). AI/LLMs assistance: Candidates have to hold all skills independently without using AI assist. With that candidates are expected to use AI effectively, safely and transparently. Preferred: Deep Knowledge in ML aspects including ML Theory, Optimization, Deep learning tinkering, RL, Uncertainty quantification, NLP, classical machine learning, performance measurement. Prompt engineering and Agentic workflows experience Web development skills Publication in leading machine learning conferences and/or medium blogs. Show more Show less

About: Newton School has formed a powerful partnership to drive transformation in the world of technology and education. Newton School, dedicated to bridging the employability gap, has partnered with Rishihood University, Sonipat, India's first impact university, and Ajeenkya DY Patil University, Pune. Together, we will be revolutionizing education, empowering students, and shaping the future of technology. With a team of experienced professionals and renowned investors, we are united in our mission to solve the employability challenge and make a lasting impact on society. Key Responsibilities Teach Applied AI/ML: Design and deliver practical, project-based courses in AI/ML (e.g., Python for ML, Statistics, ML Algorithms, Deep Learning, NLP, CV, ML Ops, GenAI). Develop Industry-Relevant Curriculum: Help design and update the AI/ML curriculum to reflect current industry tools, techniques, and best practices, incorporating your own professional experience and case studies. Mentor Student Projects: Guide students through hands-on AI/ML projects, providing technical direction, code reviews, and feedback based on industry standards. Guide & Mentor Students: Advise students on developing practical skills, understanding career paths in AI/ML, and preparing for internships and job placements. Stay Current: Keep your expertise sharp on the latest AI/ML trends and technologies, bringing that knowledge into the classroom. Collaborate: Work closely with other industry-expert faculty and staff to create a unified and effective learning experience. Assess Practical Skills: Create and evaluate assignments, projects, and assessments focused on measuring practical application and understanding. Required Qualifications & Experience Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI/ML, or a similar field. (A PhD is valued but not required.) Minimum 4-8 years of direct, hands-on professional experience in the tech industry as an AI/ML Engineer, Data Scientist, Research Scientist, or similar role involving significant AI/ML development and deployment. Proven Industry Track Record: Demonstrable experience building, training, and deploying machine learning models (including deep learning) to solve real-world problems. Deep AI/ML Understanding: Strong grasp of core ML algorithms (classical & deep learning - CNNs, RNNs, Transformers), underlying theory, model evaluation, statistics, and current research/industry trends. Passion for Teaching/Mentoring: Clear ability and enthusiasm for explaining complex technical topics and guiding others. Experience in corporate training, mentoring junior team members, leading workshops, creating technical content, or supervising projects is highly relevant. (Formal academic teaching experience is not a prerequisite.) Required Skills Technical : Expert-level Python programming. Proficiency with data science libraries (Pandas, NumPy, Scikit-learn). Hands-on experience with ML/DL frameworks (TensorFlow, PyTorch). Strong SQL and data handling skills. Understanding of ML Ops practices and tools (Git, Docker, Cloud platforms - AWS/GCP/Azure). Knowledge of key AI areas (NLP, Computer Vision, Generative AI/LLMs). Communication: Excellent ability to explain technical concepts clearly to students. Strong mentoring skills. Collaboration: Team-oriented approach. Passion: Genuine interest in education and student success within an innovative, practical learning environment. Good-to-Have Prior teaching experience at the undergraduate or graduate level. Familiarity with modern teaching methodologies and academic tools. Perks & Benefits Competitive salary packages aligned with industry standards. Access to state-of-the-art labs and classroom facilities. Contribution to cutting-edge academic work in collaboration with the Newton School of Technology and Rishihood University. Show more Show less

We are seeking a talented individual to join our Actuarial team at Marsh Mc Lennan. This role will be based in Mumbai/Gurgaon. This is a hybrid role that has a requirement of working at least three days a week in the office. We will count on you to: Reporting key metrics, self-service analytics products and analyse disparate data sets together for patterns and insights. Exploratory data analytics, Predictive models that forecast behaviours and cost and Data story telling by using the best-in-class BI tools Apply functional understanding of product and risk assessment and possible outcomes through scenario testing Analytics orientated approach to solve real business problems. What you need to have: The candidate should preferably have experience in insurance/reinsurance industry in their modelling/data science team up to 4 years. Cleared 4+ actuarial papers Detailed knowledge of actuarial pricing techniques Hands-on experience in BI tools –Qlik Sense & Tableau and Power BI (Good to have) and Analytics tools R/Python/VBA & techniques to build Model, Validate and implement. For sure having a good data science knowledge by working on some real projects. Applied math / stats skills, including GLM, Bayesian probability, and other machine-learning techniques such as decision tree / random forest etc. What makes you stand out? Strong academic rigour, and students passing with statistics and data science skills from IIT/NIT/IISC Strong programming skills and technical individual contributor P&C Actuarial experience with a Pricing background (especially in areas of applying regression techniques such as GLM). Ability to take initiatives to strive for improvement in analytics techniques, process and output. Why join our team: We help you be your best through professional development opportunities, interesting work and supportive leaders We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being Marsh McLennan (NYSE: MMC) is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh , Guy Carpenter , Mercer and Oliver Wyman . With annual revenue of $23 billion and more than 85,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit marshmclennan.com , or follow on LinkedIn and X . Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person. Show more Show less

About The Company Ketto is Asia's largest tech-enabled crowdfunding platform with a vision - Healthcare for all. We are a profit-making organization with a valuation of more than 100 Million USD. With over 1,100 crores raised from more than 60 lakh donors, we have positively impacted the lives of 2 lakh+ campaigners. Ketto has embarked on a high-growth journey, and we would like you to be part of our family, helping us to create a large-scale impact on a daily basis by taking our product to the next level Role Overview Ketto , Asia's largest crowdfunding platform, is looking for an innovative Product Analyst to take charge of our data systems, reporting frameworks, and generative AI initiatives. This role is pivotal in ensuring data integrity and reliability, driving key insights that fuel strategic decisions, and implementing automation through AI. This position encompasses the full data and analytics lifecycle—from requirements gathering to design planning—alongside implementing advanced analytics and generative AI solutions to support Ketto’s mission. Key Responsibilities Data Strategy & Automation: ○ Lead data collection, processing, and quality assurance processes to ensure accuracy, completeness, and relevance. ○ Explore opportunities to incorporate generative AI models to automate and optimize processes, enhancing efficiencies in analytics, reporting, and decision-making. Data Analysis & Insight Generation: ○ Conduct in-depth analyses of user behaviour, campaign performance, and platform metrics to uncover insights that support crowdfunding success. ○ Translate complex data into clear, actionable insights that drive strategic decisions, providing stakeholders with the necessary information to enhance business outcomes. Reporting & Quality Assurance: ○ Design and maintain a robust reporting framework to deliver timely insights, enhancing data reliability and ensuring stakeholders are well-informed. ○ Monitor and improve data accuracy, consistency, and integrity across all data processes, identifying and addressing areas for enhancement. Collaboration & Strategic Planning: ○ Work closely with Business, Product, and IT teams to align data initiatives with Ketto’s objectives and growth strategy. ○ Propose data-driven strategies that leverage AI and automation to tackle business challenges and scale impact across the platform. ○ Mentor junior data scientists and analysts, fostering a culture of data-driven decision-making. Required Skills And Qualifications Technical Expertise: ○ Strong background in SQL, Statistics and Maths Analytical & Strategic Mindset: ○ Proven ability to derive meaningful, actionable insights from large data sets and translate findings into business strategies. ○ Experience with statistical analysis, advanced analytics Communication & Collaboration: ○ Exceptional written and verbal communication skills, capable of explaining complex data insights to non-technical stakeholders. ○ Strong interpersonal skills to work effectively with cross-functional teams, aligning data initiatives with organisational goals. Preferred Experience: ○ Proven experience in advanced analytics roles ○ Experience leading data lifecycle management, model deployment, and quality assurance initiatives. Why Join Ketto? At Ketto, we’re committed to driving social change through innovative data and AI solutions. As our Sr. Product Analyst, you’ll have the unique opportunity to leverage advanced data science and generative AI to shape the future of crowdfunding in Asia. If you’re passionate about using data and AI for social good, we’d love to hear from you! Skills:- Tableau, PowerBI, SQL, Python, Dashboard, Data Visualization, Data Structures, Data Analytics, Product Management and Product Lifecycle Management (PLM) Show more Show less

The Purpose of the role We are seeking a full stack data scientist in Advanced Analytics team, who will be at the forefront of developing new innovative data driven solutions with bleeding edge machine learning and AI solution end to end. AIML Data Scientist is a technical job that uses AI & machine learning techniques to automate underwriting processes, improve claims outcomes and/or risk solutions. This person will develop vibrant data science solutions which require data engineering, AlML algorithms and Ops engineering skills to develop and deploy it for the business. Ideal candidate for this role is someone with a strong education in computer science, data science, statistics, applied math or a related field, and who is eager to tackle problems with innovative thinking without compromising detail business insights. You are adept at solving diverse problems by utilizing a variety of different tools, strategies, machine learning techniques, algorithms and programming languages. Responsibilities Work with business partners globally, determine analyses to be performed, manage deliverables against timelines, present of results and implement the model. Use broad spectrum of Machine Learning, text and image AI models to extract impactful features from structured/unstructured data. Develop and implement models that help with automating, getting insights, make smart decisions; Ensure that the model is able to meet the desired KPIs post-production. Develop and deploy scalable and efficient machine learning models. Package and publish codes and solutions in reusable format python package format- (Pypi, Scikit-learn pipeline,..) Keep the code ready for seamless building of CI/CD pipelines and workflows for machine learning applications. Ensure high quality code that meets business objectives, quality standards and secure web development guidelines. Building reusable tools to streamline the modeling pipeline and sharing knowledge Build real-time monitoring and alerting systems for machine learning systems. Develop and maintain automated testing and validation infrastructure. Troubleshoot pipelines across multiple touchpoints like CI Server, Artifact storage and Deployment cluster. Implement best practices for versioning, monitoring and reusability. Requirements Sound understanding of ML concepts, Supervised / Unsupervised Learning, Ensemble Techniques, Hyperparameter Good knowledge of Random Forest, XGBoost, SVM, Clustering, building data pipelines in Azure/Databricks, deep learning models, OpenCV, Bert and new transformer models for NLU, LLM application in ML> Strong experience with Azure cloud computing and containerization technologies (like Docker, Kubernetes). 4-6 years of experience in delivery end to end data science models. Experience with Python/OOPs programming languages and data science frameworks like (Pandas, Numpy, TensorFlow, Keras, PyTorch, sklearn). Knowledge of DevOps tools such as Git, Jenkins, Sonar, Nexus is must. Building python wheels and debugging build process. Data pipeline building and debugging (by creating and following log traces). Basic knowledge of DevOps practices. Concepts of Unit Testing and Test-Driven development. SDE skills like OOP and Functional programming are an added advantage. Experience with Databricks and its ecosystem is an added advantage. analytics/statistics/mathematics or related domain. Show more Show less

Role & responsibilities Job Purpose The purpose of the job for a Manufacturing QA Engineer is to ensure that the lenses (IOLs) are produced to meet the highest quality standards while adhering to all relevant regulatory requirements. The goal is to deliver safe, effective, and high-quality intraocular lenses at an optimal quality cost. Quality Ensure manufacturing process complies with standards in hydrophilic line. Establish quality assurance procedures and specifications. Ensure quality assurance procedures and specifications are followed. Maintain and update quality assurance records. Identify causes for defects and take necessary actions to eliminate or reduce the rejections. Establish and maintain Job Instructions for Quality Assurance. Identify and implement new tests and test methods to ensure the Quality of the product. Establish 4MTE condition for First time right product and ensure its implementation and sustenance in hydrophilic line. Perform data analysis and continual improvement in hydrophilic line. Internal quality audit and External audit Ensure availability of documents at the time of audit. Co-ordinate with QA Manager and Division regulatory team and fulfill the audit requirements. Ensure timely closure of audit findings. New product development Co-ordinate with R&D team in validation of proposed design and highlight deviations observed. Identify tests and test methods in support with R&D team to ensure quality of the product. Maintenance Co-ordinate with maintenance team and ensure preventive and corrective maintenance activities that affect product Quality are carried out as per plan. Training Train QA staffs and maintenance technicians on SOPs, JI and changes made to products or process in hydrophilic line. Internal Interaction Production team, R&D team, Regulatory team, Purchase team, Shipping team, Maintenance team, CNC team, Marketing team etc., External Interactions Suppliers or vendors, Surgeons, Dealers, External service providers etc., Preferred candidate profile Educational Qualifications Bachelors degree in Mechanical engineering Knowledge in statistics is an added advantage. Technical / Functional Skills Ability to solve problems effectively and efficiently. Hands on experience in MS office tools such as word, power point and excel. Hands on experience in using CAD software. Strong verbal and written communication skills.

Job description: Job Description Role: Service desk lead ͏ Do: - To support the service desk agents in prompt delivery & customer service - Advise and collaborate with the agents on current issues and works toward the resolution of tickets - Manage and coordinate escalated work orders from the ServiceDesk team that requires additional troubleshooting and follow-up - Coordinate with other IT teams as appropriate for closure of any escalated ticket - Act as a liaison between Service Desk and other teams to ensure effective communication between teams - To provide liaison and governance at both internal & client levels - Undertake a weekly review of the First Line Service Desk call queues to ensure no unauthorized changes & mitigation of escalations - Measure and report on service delivery performance metrics including customer satisfaction surveys and the incident tickets - Lead in the development of good customer service practices across the service desk - Produce statistics and management reports of the service desk to client & management - Communicate all process related changes and technical updates to the team within specific timelines to ensure adherence to service desk guidelines - Capacity planning and capability development - Conduct capacity planning exercise to provide number of agents, skill levels to meet the Account Service Desk process fulfilment - Conduct shift planning to meet the service requirements of the client as per SLAs agreed - Perform briefings to Service Desk agents on changes or deployments that may affect volumes at the Service Desk - Assist SD agents by providing first line support when workloads are high, or where additional experience is required - Develop team skills and capability in managing processes to reach the desired productivity and efficiency by conducting process training/ refresher courses, providing performance feedback and managing bottom quartile team performers. - Team Management - Resourcing - Forecast talent requirements as per the current and future business needs - Hire adequate and right resources for the team - Train direct reportees to make right recruitment and selection decisions - Talent Management - Ensure 100% compliance to Wipro's standards of adequate onboarding and training for team members to enhance capability &effectiveness - Build an internal talent pool of HiPos and ensure their career progression within the organization - Promote diversity in leadership positions - Performance Management - Set goals for direct reportees, conduct timely performance reviews and appraisals, and give constructive feedback to direct reports. - In case of performance issues, take necessary action with zero tolerance for will based performance issues - Ensure that organizational programs like Performance Nxt are well understood and that the team is taking the opportunities presented by such programs to their and their levels below - Employee Satisfaction and Engagement - Lead and drive engagement initiatives for the team - Track team satisfaction scores and identify initiatives to build engagement within the team - Proactively challenge the team with larger and enriching projects/initiatives for the organization or team - Exercise employee recognition and appreciation ͏ ͏ ͏ Mandatory Skills: TIS Service Desk . Experience: 3-5 Years . Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome. Show more Show less

We are seeking a highly organized and detail-oriented individual to join our team as a Workforce Planner in our call Center. As a Workforce Planner, you will play an important role in ensuring the efficient and effective allocation of resources to meet our call canters service level targets. Candidate will be responsible for forecasting call volumes, creating staffing schedules, monitoring real-time adherence, and analyzing data to optimize workforce productivity. Candidate with the strong analytical mindset, excellent communication skills, and the ability to thrive in a fast-paced environment. Work Shifts: US Work Mode: WFO all 5 days Location: Pune Certification in Workforce Management or related field is a plus. Qualifications Qualification: Bachelor's degree in Business Administration, Statistics, or a related field is preferred-Proven experience as a Workforce Planner or in a similar role within a call center environment. Certification: Workforce Management or related field is a plus Proficient in using workforce management software and tools.-Strong knowledge of call center metrics and performance indicators.-Ability to work flexible hours, including evenings and weekends as needed.-Excellent problem-solving and decision-making skills.-Strong analytical skills with the ability to interpret data and trends.-

Description GlobalLogic is looking for a skilled Data Analyst with 3–8 years of experience to support AI/ML data operations. The ideal candidate will have strong proficiency in SQL and Python, a solid understanding of data labeling metrics, and the ability to translate complex data into actionable insights. Excellent communication skills and a detail-oriented, self-starter mindset are essential. Requirements Bachelor’s degree in Statistics, Mathematics, Computer Science, Data Science, or a related field. 3–8 years of hands-on experience in data analysis, ideally within AI/ML or data labeling environments. Proficient in SQL and Python for data manipulation, analysis, and process automation. Solid understanding of data labeling workflows and evaluation metrics (e.g., accuracy, precision, recall, inter-rater agreement). Strong analytical and problem-solving skills with the ability to interpret large datasets and generate actionable insights. Excellent communication skills, capable of presenting findings to both technical and non-technical stakeholders. Job responsibilities Analyze large datasets (labeled & unlabeled) to identify trends, anomalies, and labeling patterns to improve model performance and operational efficiency. Design and maintain automated dashboards and reporting tools to track labeling quality, throughput, and trends. Work closely with Client leadership to understand data needs and deliver actionable insights for model optimization. Build and maintain scalable data pipelines for validation, aggregation, and visualization. Apply data mining techniques to assess annotation consistency and inter-rater reliability. Support AI data evaluation strategies through experimentation and iterative feedback. Collaborate with cross-functional teams to improve annotation workflows and ensure metrics alignment. What we offer Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally. Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today. Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way! High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do. About GlobalLogic GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services. Show more Show less

Job Title: Good Clinical Practice (GCP) QA Reports To: Associate Director/Director- GCP QA Employment Type: Full-time Workplace Type: Remote Timings: Flexible (Upto 2 am IST, few times a week) Travel : International Travel Required (15-45 days duration) THE CELITO TEAM The Celito Team architects the buildout of simplified, integrated, and compliant technology stacks. With both consulting and products, our expertise can help our customers save time and money as they move from strategic Clinical & Quality management all the way to widespread and profitable commercialization. JOB OVERVIEW We are seeking a highly skilled and experienced Senior Manager or Manager of Good Clinical Practice (GCP) Quality Assurance to join our team. This role is responsible for conducting GCP audits, providing consultations, and supporting clinical trial activities for our Research and Development (R&D) division. This role will involve strategic planning and implementation of GCP principles, supporting inspection readiness activities, and leading the Quality Management System (QMS) initiatives. The ideal candidate will possess significant decision-making authority on clinical quality matters and ensure the efficient operation of the QA department. KEY RESPONSIBLIITIES Conduct GCP Audits and Provide Consultations: • Perform on-site and virtual audits of clinical investigator sites, processes, documents, and vendors including CROs, central labs, IVRS, and data management. • Offer expert consultations and clinical trial support to R&D teams. Serve in an Advisory Role for R&D: • Advise Clinical Operations, Clinical Development, Statistics, Programming, Regulatory Affairs, Pharmacovigilance, and other R&D functions. • Review and provide feedback on clinical documents including protocols, consent forms, monitoring plans, and data management plans. Quality Assurance Activities: • Oversee quality assurance activities related to clinical, bioanalytical, diagnostic, safety, and pharmacokinetics analyses of clinical studies. • Ensure all activities comply with GCP guidelines and regulatory requirements. Lead GCP Inspection Readiness Activities: • Prepare for and lead GCP inspection readiness activities, including preparation, hosting, and responding to findings from regulatory inspections. • Develop and implement strategies to maintain continuous inspection readiness. Decision Making on Clinical Quality Matters: • Exercise significant decision-making authority on clinical quality matters, including addressing serious GCP breaches. • Provide guidance and recommendations for resolving quality issues. Support Quality Management System (QMS): • Author and review Clinical Quality Assurance (CQA) Standard Operating Procedures (SOPs). • Review and ensure alignment of functional area SOPs with GCP and regulatory standards. Collaboration and Communication: • Work closely with cross-functional teams to ensure alignment and compliance with GCP. • Provide training and mentorship to team members on GCP and quality assurance practices. Continuous Improvement: • Identify areas for improvement in clinical processes and practices. • Develop and implement corrective and preventive actions (CAPAs) to enhance quality and compliance. Leverage International Experience: • Utilize extensive experience working with US and European companies to navigate and comply with varying regulatory requirements. • Facilitate global clinical trials and ensure adherence to multinational GCP standards. QUALIFICATIONS • Master’s or bachelor’s degree in a relevant field (e.g., Life Sciences, Pharmacy, Medicine). An advanced degree is preferred. • 12- 15 years of experience in clinical research quality assurance or a related field. • Extensive knowledge of GCP guidelines and regulatory requirements. • Proven experience in conducting GCP audits and inspections. • Strong analytical and problem-solving skills. • Excellent communication and interpersonal skills. • Ability to work independently and as part of a multidisciplinary team. • Certification in GCP or related areas is a plus. • Extensive experience working with US and European companies. Show more Show less

Project Role : Engineering Services Practitioner Project Role Description : Assist with end-to-end engineering services to develop technical engineering solutions to solve problems and achieve business objectives. Solve engineering problems and achieve business objectives using scientific, socio-economic, technical knowledge and practical experience. Work across structural and stress design, qualification, configuration and technical management. Must have skills : Aircraft Systems Good to have skills : Aircraft Design, Airbus Configuration ToolsMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :We are seeking a skilled and detail-oriented Design Engineer to support the structural repair design of aircraft wing components. The role involves evaluating in-service damage, developing repair schemes, supporting fleet issues, and ensuring compliance with airworthiness requirements. The ideal candidate will have a strong background in aircraft structural design, repair practices, and regulatory standards. Roles & Responsibilities:Evaluate structural damage on aircraft wings and provide suitable repair solutions in compliance with OEM standards and airworthiness requirements.Design and validate structural repairs using Airbus Methodology and approved engineering tools.Develop repair drawings, technical schemes, and engineering reports.Coordinate with team members and OEM for repair approvals and clarifications.Support fleet engineering by investigating damage trends and recommending design or operational improvements.Contribute to continuous improvement initiatives in repair development and engineering processes.Ensure timely delivery of engineering documentation with accuracy and compliance to internal and regulatory requirements.Participate in technical reviews, risk assessments, and design validation activities. Professional & Technical Skills: - Must To Have Skills: Proficiency in Aircraft Systems.- Strong understanding of statistical analysis and machine learning algorithms.- Solid grasp of data munging techniques. Additional Information:- The candidate should have a minimum of 28 years of experience in aircraft structures design or repair, preferably with a focus on wings.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

Job Title Ind & Func AI Value Strategy Consultant- S&C GN Management Level :9 - Consultant Location:Bangalore / Hyderabad / Pune / Gurugram Must have skills: Generative AI, Data and AI Strategy, Business Value Case development Good to have skills: PowerBI, Machine Learning, Large Language Models (LLMs), Python, SQL Job Summary :As an AI Value Strategy Consultant, you will play a key role in designing, building, and implementing Data and AI Strategy and thought leadership to address business challenges across various industries. You will leverage Data, Generative AI, Machine Learning, and Large Language Models (LLMs) to drive innovation and deliver impactful insights for clients. Your work will involve collaborating with cross-functional teams, and contributing to the development of Data and AI solutioning. Key Responsibilities For large transformation deals, design robust data and AI strategy by discovering right business use cases, reinventing process design and optimizing the architecture. Define strategies to assess clients' current data and apply AI capabilities, developing roadmaps for the future using tools such as data diagnostics, data and AI maturity assessment, and business case development. Bring expertise to define and execute data and AI platform strategies for stakeholders, covering areas such as cloud computing, emerging data and AI platforms/ technologies/ trends, and ecosystem strategies. Design architecture and operating model blueprints including organizational design, delivery engagement models, and talent & learning roadmaps that enable seamless integration and scalability of AI solutions across the organization, ensuring alignment with business goals and technical requirements. Develop strategic roadmaps for the implementation of AI initiatives, outlining key milestones, dependencies, and timelines to ensure successful execution and alignment with business priorities. Provide thought leadership on emerging data and AI trends, patterns, and technologies, shaping proofs of capability and enabling clients to harness and adopt innovation in the data and AI domain. Collaborate with cross-functional teams to build compelling business cases for AI initiatives, conducting thorough cost-benefit analyses, ROI assessments, and risk evaluations to support decision-making and investment prioritization. Infuse Responsible AI in the core AI foundation and solution design, develop plan for leveraging ecosystem partners, and define operating model to foster a culture of innovation and experimentation. Additional Information Deep understanding of Generative AI, cloud computing, emerging data and AI platforms/technologies Strong understanding of data and AI platforms & technologies, architecture principles, operating models, and best practices, with hands-on experience in designing and implementing scalable AI solutions. Worked on data engineering, data analytics, data visualization and/or solutioning. Demonstrated ability to build compelling business cases for AI initiatives, with experience conducting cost-benefit analyses, ROI assessments, and risk evaluations. Excellent strategic thinking and problem-solving skills, with the ability to identify opportunities for AI-driven innovation and value creation in complex business environments. Exceptional communication and stakeholder management skills, with the ability to effectively collaborate with cross-functional teams and influence decision-making at all levels of the organization. About Our Company | Accenture Qualification Experience: Minimum 5+ years of experience in Data and AI space, preferably within a consulting environment Educational Qualification: Bachelors or Masters degree (BE/BTech/MBA) in Statistics, Computer Science, Mathematics, or related disciplines with an excellent academic record

Role Overview: As a Data Scientist within IBM's Chief Analytics Office, you will support AI-driven projects across the enterprise. You will apply your technical skills in AI, machine learning, and data analytics to assist in implementing data-driven solutions that align with business goals. This role involves working with team members to translate data insights into actionable recommendations. Key Responsibilities: Technical Execution and Leadership: Develop and deploy AI models and data analytics solutions. Support the implementation and optimization of AI-driven strategies per business stakeholder requirements. Help refine data-driven methodologies for transformation projects. Data Science and AI: Design and implement machine learning solutions and statistical models, from problem formulation through deployment, to analyze complex datasets and generate actionable insights. Learn and utilize cloud platforms to ensure the scalability of AI solutions. Leverage reusable assets and apply IBM standards for data science and development. Project Support: Lead and contribute to various stages of AI and data science projects, from data exploration to model development. Monitor project timelines and help resolve technical challenges. Design and implement measurement frameworks to benchmark AI solutions, quantifying business impact through KPIs. Collaboration: Ensure alignment to stakeholders’ strategic direction and tactical needs. Work with data engineers, software developers, and other team members to integrate AI solutions into existing systems. Contribute technical expertise to cross-functional teams. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Education: Bachelor’s or Master’s in Computer Science, Data Science, Statistics, or a related field is required; an advanced degree strongly preferred Experience: 5+ yearsof experience in data science, AI, or analytics with a focus on implementing data-driven solutions Experience with data cleaning, data analysis, A/B testing, and data visualization Experience with AI technologies through coursework or projects Technical Skills: Proficiency in SQL and Python for performing data analysis and developing machine learning models Knowledge of common machine learning algorithms and frameworkslinear regression, decision trees, random forests, gradient boosting (e.g., XGBoost, LightGBM), neural networks, and deep learning frameworks such as TensorFlow and PyTorch Experience with cloud-based platforms and data processing frameworks Understanding of large language models (LLMs) Familiarity with IBM’s watsonx product suite Familiarity with object-oriented programming Analytical Skills: Strong problem-solving abilities and eagerness to learn Ability to work with datasets and derive insights Other : Good communication skills, with the ability to explain technical concepts clearly Enthusiasm for learning and applying new technologies Strong project management skills, with the ability to balance multiple initiatives, prioritize tasks effectively, and meet deadlines in a fast-paced environment Successful completion of Coding Assessment Preferred technical and professional experience Advanced degree strongly preferred

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP for Oil & Gas Secondary Distribution Good to have skills : Energy FundamentalsMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and ensuring successful project delivery. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems for your immediate team and across multiple teams. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead the effort to design, build, and configure applications- Act as the primary point of contact- Manage the team and ensure successful project delivery Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP for Oil & Gas Secondary Distribution- Good To Have Skills: Experience with Energy Fundamentals- Strong understanding of statistical analysis and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information:- The candidate should have a minimum of 7.5 years of experience in SAP for Oil & Gas Secondary Distribution- This position is based at our Hyderabad office- A 15 years full-time education is require Qualification 15 years full time education

Skill required: Order to Cash - Billing Processing Designation: Order to Cash Operations Associate Qualifications: Any Graduation Years of Experience: 1 to 3 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do You will be aligned with our Finance Operations vertical and will be helping us in determining financial outcomes by collecting operational data/reports, whilst conducting analysis and reconciling transactions.The Order to Cash Processing team provides services to clients and organizations by helping them in the areas of optimizing working capital, providing real-time visibility and end-to-end management of revenue and cash flow, and streamlining billing processes. This team over looks the entire processes that starts from customers inquiry, sales order to delivery and invoicing.The Collections Operations team focuses on managing collections and disputes such as debt collection, reporting on aged debt, bad debt provisioning, trade promotions, and outperform cash reconciliations. The team is responsible for follow up for missing remittances, prepare refund package with accuracy and supply to clients, record all collections activities in a consistent manner as per client process (tool), delivery of process requirements to achieve key performance targets, and ensure compliance to internal controls, standards, and regulations. What are we looking for We are looking for individuals who have the following skillset:Finance ProcessesAbility to work well in a teamAbility to handle disputesRoutine problem solving Roles and Responsibilities: In this role, you are required to solve routine problems, largely through precedent and referral to general guidelinesYour expected interactions are within your team and direct supervisorYou will be provided detailed to a moderate level of instruction on daily work tasks and detailed instruction on new assignments and the decisions that you make that would impact your workYou will need to be well versed with basic statistics and terms involved in the day to day business and use it while discussing with stakeholdersYou will be required to help in the overall team s workload by managing your deliverables and help the team when requiredYou will be an individual contributor as a part of a team, with a predetermined focused scope of work.Please note this role may require you to work in rotational shifts. Qualification Any Graduation

Come work at a place where innovation and teamwork come together to support the most exciting missions in the world! Job Description We are seeking a Data Scientist to develop next-generation Security Analytics products . You will work closely with engineers and product managers to prototype, design, develop, and optimize data-driven security solutions. As a Data Scientist, you will focus on consolidating and analysing diverse data sources to extract meaningful insights that drive product innovation and process optimization. The ideal candidate has a strong background in machine learning, especially in the Natural Language Processing. Responsibilities: Design, develop, and deploy Machine Learning models. Collaborate with Product Management and cross-functional stakeholders to define problem statements, develop solution strategies, and design scalable ML systems. Leverage Large Language Models (LLMs) to build GenAI capabilities to drive business impact. Create insightful data visualisations, technical reports, and presentations to communicate findings to technical and non-technical audiences. Deploy ML models in production and implement monitoring frameworks to ensure model performance, stability, and continuous improvement. Requirements: BS, MS, or Ph.D. in Computer Science, Statistics, or a related field. 2-5 years of experience in Machine Learning projects, including model development, deployment, and optimization. Deep understanding of ML algorithms, their mathematical foundations, and real-world trade-offs. Expertise in NLP techniques like Named Entity Recognition, Information Retrieval, Text classification, Text-to-Text Generation etc. Familiarity and working experience of GenAI applications, Experience with prompting, fine-tuning and optimizing LLMs. Knowledge of recent advancements and trends in GenAI, demonstrating a commitment to continuous learning in this rapidly evolving field. Hands-on experience with ML frameworks such as Scikit-Learn, TensorFlow, PyTorch, LangChain, vLLM etc. Strong programming skills in Python and/or Java. Experience in SQL, Pandas, and PySpark for efficient data manipulation. Familiarity with microservice architectures, CI/CD, MLOps best practices. Strong communication, problem-solving, and analytical skills; a collaborative team player. Nice to Have: Familiarity with distributed computing frameworks such as Hadoop, Spark, and OpenSearch. Published research in AI/ML in peer-reviewed journals or top conferences (e.g., NeurIPS, ICML, CVPR). Prior experience applying AI/ML to cybersecurity use cases. Basic proficiency in Unix/Linux environments for scripting and automation. Show more Show less

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAP ABAP Development for HANA Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with various teams to understand their needs, developing solutions that align with business objectives, and ensuring that applications are optimized for performance and usability. You will also engage in problem-solving activities, providing support and enhancements to existing applications while maintaining a focus on quality and efficiency in your work. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure timely delivery of application features. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP ABAP Development for HANA.- Good To Have Skills: Experience with SAP Fiori and SAP UI5.- Strong understanding of database management and optimization techniques.- Experience in developing and implementing custom reports and interfaces.- Familiarity with Agile methodologies and project management tools. Additional Information:- The candidate should have minimum 5 years of experience in SAP ABAP Development for HANA.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Skill required: Record To Report - Account Reconciliations Designation: Record to Report Ops Analyst Qualifications: Any Graduation Years of Experience: 3 to 5 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do You will be aligned with our Finance Operations vertical and will be helping us in determining financial outcomes by collecting operational data/reports, whilst conducting analysis and reconciling transactions. The Record to Report team helps clients and organizations in their operational efficiency and balance sheet integrity, cuts time to close and safeguards compliance with regulatory requirements. The areas where this team s expertise lies is in posting journal entries, preparing balance sheet reconciliations, reviewing entries and reconciliations, preparing cash forecasting statement, supporting month end closing, preparing reports and supports in audits.The Financial Consolidation & Close Operations team is responsible for general ledger processes including year-end closing, journalizing, etc. They help create & maintain ledgers, currencies, budgets, & journal entries, deliver solutions including a flexible accounting structure, comprehensive journal processing, hierarchical summaries, intuitive inquiry & reporting, dynamic allocations & the management of commitments & expenditures, run interface reports & perform close books of accounts. The team reviews P&L accounts errors, omissions, or inconsistencies and managing the preparation of all reports. They also work on posting journal entries, preparing balance sheet reconciliations, investigating and reporting open items, reviewing entries and reconciliations, preparing Bank reconciliations Understanding the end-to-end Cash and Bank Process to identify the gap and connect with the concerned team to resolve the exception on time. Connect with multiple teams to understand and resolve the Bank Clearing Open Item, understand the End-to-End Bank Recon and able to analyze the variance, report or escalate issues or delays), supporting month-end closing, preparing various reports as required, and supporting audits. The role may also need expertise around intercompany reconciliations, cut-off policies, transfer pricing policies, formal confirmation policy & procedure What are we looking for We are looking for individuals who have the following skillset:Record to Report ProcessingFinancial Consolidation & Close OperationsJournal Entry ProcessingAbility to handle disputesAbility to meet deadlinesAccounting Process Roles and Responsibilities: In this role, you are required to analyze and solve lower-complexity problems.Your day-to-day interaction is with peers within Accenture before updating supervisors.You may have limited exposure to clients and/or Accenture management.You will be given moderate level instructions on daily work tasks and detailed instructions on new assignments.You will need to be well versed with basic statistics and terms involved in the day-to-day business and use it while discussing with stakeholders.You will be expected to constantly be on the lookout for ways to enhance value for your respective stakeholders/clients.The decisions you make impact your work and may impact on the work of others.You will be an individual contributor as a part of a team, with a focused scope of work.Please note this role may require you to work in rotational shifts Qualification Any Graduation

Who You'll Work With Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward. In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else. When you join us, you will have Continuous learning Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey. A voice that matters From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes. Global community With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences. World-class benefits On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package, which includes medical, dental, mental health, and vision coverage for you, your spouse/partner, and children. Your Impact You’ll be based in our Gurugram office within the S&CF Insights team. S&CF Insights is McKinsey’s center of excellence in advanced analytics for Strategy and Corporate Finance. Its purpose is to empower teams with advanced, yet easy-to-use, analytical capabilities that can generate superior insights and transform client conversations. To this end, the Strategy & Corporate Finance practice, in conjunction with the McKinsey Global Institute, has assembled one of the world’s most sophisticated groups of experts, sets of databases, and analytical techniques. S&CF Insights is a global team of finance experts and strategists that addresses clients’ questions about valuation and value creation. The center combines the best of McKinsey’s financial analysis capabilities, proprietary tools and insights, broad industry knowledge, and practical application perspectives. Over time, as the research analyst, you will develop a solid grounding in core principles of corporate finance. As your career evolves, you will also start working with specialists, experts and senior leaders of the practice to help McKinsey teams identify and evaluate critical financial and strategic issues for discussions with senior client executives. You will be leveraging excel-based models, financial databases and research platforms to generate end products in the form of presentations, written summaries and spreadsheets. Examples of specific activities for the role may include, but are not limited to Analyzing the performance of companies in capital markets Assessing the financial performance of companies using growth, margins, returns and leverage ratios Conducting outside-in valuation diagnostics using discounted cash flows (DCF) and valuation multiples Conducting qualitative and quantitative research on Strategy & Corporate Finance topics and synthetize the results Serving as point of contact for the S&CF practice, answering the requests from multiple intake channels Your Qualifications and Skills University degree with an outstanding academic record; postgraduate degree in business administration, accounting, finance, or related fields preferred 2+ years of relevant working experience in corporate finance or related areas such as financial analysis and modeling Proficiency in Excel and Power Point is instrumental for this role; understanding of statistics/analytics is a plus, but not required Excellent problem-solving, analytical, and quantitative skills, as well as curiosity and a passion for research Interest in the corporate finance domain with intermediate/advanced content knowledge Superb people skills, strong team-orientation, and a professional attitude Ability to work under pressure and deliver on tight deadlines Excellent written and verbal communication skills in English, including the ability to interact effectively at all levels of a large international organization Show more Show less

Develop and deliver insightful, data-driven reports and dashboards that evaluate the effectiveness of space planning strategies across categories and store formats. Analyze planogram performance and shelf space allocation to support category growth, maximize ROI, and improve in-store execution. Leverage tools like JDA/Blue Yonder, NIQ, Spins, and Circana to extract and interpret data, delivering actionable insights for merchandising and sales leadership. Collaborate with cross-functional teams to refine space planning initiatives based on data trends, market intelligence, and performance metrics. Monitor key KPIs, SLAs, and customer metrics to ensure alignment with business goals and continuous process improvement. Visualize complex data in a clear, engaging manner using Microsoft Power BI, Excel, and PowerPoint for both strategic and operational presentations. Ensure accuracy and consistency in planogram data and reporting outputs, supporting both internal stakeholders and external retail partners. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Bachelor’s or Master’s degree in Computer Science, Statistics, Business Analytics, or a related field. 4–6 years of experience in space planning analysis, data analytics, or retail reporting roles. Hhands-on experience with space planning tools (e.g., JDA/Blue Yonder, Apollo Retail), CPG reporting platforms (NIQ, Spins, Circana), and BI tools (Power BI, Excel). In-depth understanding of CPG & retail merchandising strategies, planogram design, and space-to-sales analysis. Preferred technical and professional experience Strong analytical mindset with a high level of accuracy and attention to detail. Excellent communication, storytelling, and stakeholder engagement skills. Proven ability to handle multiple projects simultaneously in a fast-paced retail or CPG environment.

Job Title Ind & Func AI Value Strategy Manager- S&C GN Management Level : 7 Manager Location: Bangalore / Hyderabad / Pune / Gurugram Must have skills :Generative AI, Data and AI Strategy, Business Value Case development Good to have skills: PowerBI, Machine Learning, Large Language Models (LLMs), Python, SQL Job Summary : As an AI Value Strategy Manager, you will play a key role in designing, building, and implementing Data and AI Strategy and thought leadership to address business challenges across various industries. You will leverage Data, Generative AI, Machine Learning, and Large Language Models (LLMs) to drive innovation and deliver impactful insights for clients. Your work will involve collaborating with cross-functional teams, and contributing to the development of Data and AI solutioning. Key Responsibilities For large transformation deals, design robust data and AI strategy by discovering right business use cases, reinventing process design and optimizing the architecture. Define strategies to assess clients' current data and apply AI capabilities, developing roadmaps for the future using tools such as data diagnostics, data and AI maturity assessment, and business case development. Bring expertise to define and execute data and AI platform strategies for stakeholders, covering areas such as cloud computing, emerging data and AI platforms/ technologies/ trends, and ecosystem strategies. Design architecture and operating model blueprints including organizational design, delivery engagement models, and talent & learning roadmaps that enable seamless integration and scalability of AI solutions across the organization, ensuring alignment with business goals and technical requirements. Develop strategic roadmaps for the implementation of AI initiatives, outlining key milestones, dependencies, and timelines to ensure successful execution and alignment with business priorities. Provide thought leadership on emerging data and AI trends, patterns, and technologies, shaping proofs of capability and enabling clients to harness and adopt innovation in the data and AI domain. Collaborate with cross-functional teams to build compelling business cases for AI initiatives, conducting thorough cost-benefit analyses, ROI assessments, and risk evaluations to support decision-making and investment prioritization. Infuse Responsible AI in the core AI foundation and solution design, develop plan for leveraging ecosystem partners, and define operating model to foster a culture of innovation and experimentation. Other skills Deep understanding of Generative AI, cloud computing, emerging data and AI platforms/technologies/trends Strong understanding of data and AI platforms & technologies, architecture principles, operating models, and best practices, with hands-on experience in designing and implementing scalable AI solutions. Demonstrated ability to build compelling business cases for AI initiatives, with experience conducting cost-benefit analyses, ROI assessments, and risk evaluations. Excellent strategic thinking and problem-solving skills, with the ability to identify opportunities for AI-driven innovation and value creation in complex business environments. Exceptional communication and stakeholder management skills, with the ability to effectively collaborate with cross-functional teams and influence decision-making at all levels of the organization. About Our Company | Accenture (do not remove the hyperlink) Qualification Experience: Minimum 10+ years of experience in Data and AI space, preferably within a consulting environment Educational Qualification: Bachelors or Masters degree (BE/BTech/MBA) in Statistics, Computer Science, Mathematics, or related disciplines with an excellent academic record

Your role The Talent Acquisition Analyst / Reporting Specialist is responsible for collecting, analysing, and reporting Talent Acquisition-related data to support strategic planning and decision-making. This role works closely with Talent Acquisition leadership, HRIS, and cross-functional teams to design, develop, and deliver insightful analytics, dashboards, and reports that enable data-driven talent and workforce management. Key Responsibilities What you'll be doing Collect, clean, and analyse data from multiple sources including HRIS, ATS, surveys and HR. Design and maintain recurring and ad-hoc reports, dashboards, and metrics related to turnover, diversity, headcount, and talent acquisition. Partner with Talent Acquisition leaders to understand reporting needs and deliver actionable insights. Monitor data integrity and ensure consistent data quality and accuracy across Talent Acquisition systems and reports. Develop and automate reporting processes to increase efficiency and reduce manual effort. Support compliance and audit requirements by providing accurate and timely data. KPI tracking across the function. Assist in the implementation and optimization of HR technologies and tools. Present findings and trends in a clear, visual, and compelling manner using tools such as Excel, Power BI, Tableau, or other analytics platforms. Required Qualifications Bachelor’s degree in Business Analytics, Statistics, Information Systems, or a related field. 4+ years of experience in HR analytics, HR reporting, or a related data analysis role. Strong knowledge of HR systems and data reporting tools. Proficiency in Excel (including pivot tables, advanced formulas), and experience with reporting/visualization tools such as Power BI, Tableau, or similar. Familiarity with SQL and/or data querying tools is a plus. High attention to detail and commitment to data accuracy. Ability to communicate complex data insights to non-technical audiences. Excellent problem-solving, analytical, and organizational skills. Experience handling confidential and sensitive information with discretion. Preferred Qualifications Experience with predictive analytics or statistical modelling techniques. Certification in analytics or HR systems (e.g., SHRM, PHR, People Analytics certificates). About Corpay Corpay is a global technology organisation that is leading the future of commercial payments with a culture of innovation that drives us to constantly create new and better ways to pay. Our specialized payment solutions help businesses control, simplify, and secure payment for fuel, general payables, toll and lodging expenses. Millions of people in over 80 countries around the world use our solutions for their payments. All offers of employment made by Corpay (and its subsidiary companies) are subject to the successful completion of satisfactory pre-employment vetting by an independent supplier (Experian). This is in accordance with Corpay's Resourcing Policy and include employment referencing, identity, adverse financial, criminal and sanctions list checks. We do this to meet our legal and regulatory requirements. Corpay is dedicated to encouraging a supportive and inclusive culture among our employees. It is within our best interest to promote diversity and eliminate discrimination in the workplace. We seek to ensure that all employees and job applicants are given equal opportunities. Notice to Agency and Search Firm Representatives: Corpay will not accept unsolicited CV's from agencies and/or search firms for this job posting. Resumes submitted to any Corpay employee by a third party agency and/or search firm without a valid written & signed search agreement, will become the sole property of Corpay. No fee will be paid if a candidate is hired for this position as a result of an unsolicited agency or search firm referral. Thank you. Show more Show less

Job Description Who We Are 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. Role Responsibilities Automate pricing of ETFs, providing fast and accurate prices in response to quote requests from our clients. Implement automated hedging algorithms, and build frameworks to manage risk centrally across asset classes. Perform systematic and quantitative analysis of franchise flows and market data, driving business decisions and the design of our automation platform. Work closely with sales and trading, support our automated pricing and trading systems. Be involved with all stages of the software development life cycle with a range of technologies, and collaborate closely with engineering teams who support the underlying infrastructure and frameworks. Basic Qualifications Excellent academic record in a relevant quantitative field such as physics, mathematics, statistics, engineering or computer science. Strong analytics stills with experience in quantitative modelling and data analytics. At least 3 years’ experience. Strong programming skills in an object oriented or functional paradigm, with particular strength in Java, Python and its core concepts. Self-starter who can work with minimum guidance, ability to manage multiple priorities and work in a high-pressure environment. Excellent written and verbal communication skills. Preferred Qualifications Experience implementing data-driven, streaming market making models, working with large scale timeseries and dimensional data. Previous quantitative or technical role working on or with a derivatives market making desk (irrespective of asset class), Knowledge of building automated trading systems and researching signals for use in a live trading environment. Experience with machine learning is a plus. Experience with real-time systems/messaging infrastructures Familiarity with build/deployment/runtime tools e.g. Gradle, Maven, Git, Spring, Kubernetes Goldman Sachs Engineering Culture At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Engineering is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here! © The Goldman Sachs Group, Inc., 2025. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity. Show more Show less

Job Description Summary The right candidate will be placed in the Product engineering or product development team. Role and responsibilities will include leadership and technical support to a cross-functional team (across geography and domain). This involves leading the independent project, technical discussions, decision making, driving projects in coordination with different sites, rigor in planning & execution steps, monitoring, and control. The Lead Engineer will have to inclusively lead TCI team members and ramp up capabilities within the team. This will need hands-on execution of the project, supporting other team members, and establishing good practices for cross-platform project execution. The Lead position requires a good balance of technical expertise and interpersonal skill to ensure all stakeholders remain positively involved and the project is delivered at the right quality on time. The ideal candidate will gain product domain knowledge and establish a good teamwork mechanism to ensure effective execution of product engineering projects. The associate will also be responsible for leading the verification strategy creation and execution to deliver high-volume single use disposable medical products. He will be responsible for end-to-end Lab Management activities for the platform. The Lead Engineer will be involved with all aspects of design engineering including new product design and optimizing existing products. In doing so the Lead Engineer will follow BDs Global Product Development System and relevant engineering tools to deliver a high quality, cost-effective design using BD’s Stage Gate framework, DFM/DFSS to deliver cost-effective design-transfer and see it through into manufacturing. The successful candidate will lead test method development activities encompassing measurement system development & analyses, test fixture design and equipment hardware/software validation for measurement system equipment. He/she will ensure that translated product requirements are testable and measurable. The ideal candidate will also participate in executing technical and multi-functional design verification and design validation activities. Job Description General Function Lead R&D efforts through all phases of product development Collaborate with Design & Development, Systems Engineering and cross-functional teams to ensure product requirements are verifiable and measurable. Synthesize, develop, update, and optimize designs based on understanding design space. Understand design options and trade-offs; managing critical parameters; leverage strong engineering fundamentals and tools. Incorporate manufacturing principles early in the development process. Ensure deliverables are reliable across the design space, is adequately pressure-tested to satisfy user, regulatory and business requirements. Understand system and subsystem design sensitivity and identify and address early any potential design integration and transfer risks. Implement DFSS rigor throughout the design selection and development process, leveraging and deploying empirical, statistical, and analytical tools to drive informed design decisions and reduce design iteration cycle times. Ensure the design considerations are embedding all applicable DFX (Design for Excellence) aspects including manufacturability, usability, reliability, and safety. Coordinate with the cross-functional teams (i.e., D&D, Systems Engineering, Marketing, Quality, Regulatory, Manufacturing Technology, Operations etc.) to deliver the design solutions. Lead and ensure implementation and rigor of design control best practices with compliance to BD quality policies and procedures through appropriate communication, training, and education of sound quality assurance principals. Ensure compliance with all local, state, federal, and BD safety regulations, policies, and procedures. Define, plan and lead activities for test method & measurement system development and validation, fixture design and testing optimization in support of Design Verification. Lead end to end responsibility of all the platform level testing and Lab management. Lead creation and execution of verification protocols, summarize results, enable formal design reviews, and own the verification portion of the Design History File. Demonstrate proficiency in spotting Design Variance through relevant statistical measures. Interpret and analyze design verification data with respect to product performance and operational stability in the manufacturing plants. Identify the best tools and approaches to effectively solve engineering problems to develop/optimize designs by leveraging an appropriate mix of first principles / analytical, computational, and experimental methods. Experience solving problems, provides detailed insight and constructive criticism in complex situations, and foresees problems along with potential solutions. Executes Continuous Improvement projects in the following (but not limited to) areas: Equipment or method troubleshooting/repairs. Coordinates with Test Method Development and Verification & Validation team for equipment and method validations Method or Equipment Upgrades Fixture maintenance Drawing or Specification modifications Create and document novel test methodologies and provide feedback and recommendations for product/design changes. Actively build on personal skills, expertise, and competencies. Ensure that technical lessons are reviewed, learned, and disseminated. Ensure compliance with BD quality policies, procedures, and practices. The incumbent will also be responsible for ensuring QMS conformance and ensure that the quality policy and objectives are met per organizational guidelines. Organizational Leadership Quality systems processes: Ensure implementation of quality systems processes including design controls and change control. Project planning: Ensure quality and accuracy of integrated project plans encompassing all cross-functional activities and associated resource requirements. Project management: Ensure comprehensive and effective project plans are developed and actively monitor progress against plans. Be accountable for the timely delivery of all project deliverables as specified in the plans. Budgeting: Develop detailed budgets by project plans. Manage budget diligently and be accountable to perform to the project budget. Stakeholder Management: Identify project stakeholders, establish, and monitor stakeholder engagement. Technology transfer: Ensure efficient and effective transition from research to development to manufacturing in locations throughout the world. Process effectiveness: Ensure appropriate processes are followed for effective and timely engagement of other parts of the company in project activities. Innovation: Develop and apply innovative approaches to ensure the best outcomes in all aspects of the role. Support an environment in which innovation can flourish through empowerment, encouragement, and support. Organizational Development Proactively develop, maintain & share technical knowledge in a specialized area(s), remaining up to date on current trends and best practices. Actively lead, mentor, and motivate team members and junior associates, while also ensuring effective cross-functional communication and engagement. Provide frequent feedback. Continue to raise the bar on the group and help associates rise to expectations. Develop and apply innovative approaches to ensure the effective capture, retention, and communication of technical and project knowledge generated (tacit & implicit). Leadership Responsible for leading, developing, and implementing critical component changes for high volume, disposable medical devices. Influence others: Intuitively and quickly assess people and situations and act accordingly. Demonstrate strong persuasion and timing skills. Remain open to be persuaded when appropriate. Inclusive work environment: Promote and leverage diversity to achieve the best outcomes. Leadership courage: Demonstrate and promote leadership courage by doing what is right. Engage those who disagree to persuade or be persuaded. Instill confidence in associates and customers. Dealing with ambiguity: Demonstrate agility and action orientation when facing change and uncertainty. Effectively manage change and instill confidence. Education and Experience: Education Full time Degree in a relevant engineering field is required (i.e., Mechanical, Industrial & Production, Chemical, Materials Engineering) or master’s degree in a relevant engineering field is an added advantage. Experience 7 - 12 years of experience in the engineering/technical field, with 3 years demonstrated project and team leadership, preferably in the medical device industry with a successful track record of project completion. Strong exposure to six sigma and lean methodologies would be an advantage. Candidates with prior experience in Medical Devices will be preferred. Knowledge Six Sigma knowledge/Black /Greenbelt certification, DFSS, MSA PMP Certifications/Project Management knowledge ISO 20417, ISO 15223-1, ISO 13485, ISO 14971, ISO 62304 Sustenance Engineering project delivery knowledge Statistics and Verification methods Tool knowledge SAP, Master control, JDE added advantage Exposure to CAD/CAE tools (Solid Works, AUTOCAD, PRO-E, etc.) specializing in mold flow, structural designs, CFD and plastics domain is desired. Good understanding of medical device product development risk management methodologies (EURA, FMEA, etc.) will be an added advantage. Expertise with test method development, validation strategy, and execution is required. Expertise with design verification & validation strategy development and execution is required. Expertise in fixture design & development. Strong track record of technical problem solving and effective product development through expert application of engineering principles is required. Design controls expertise and experience with traditional and modern fabrication techniques is required. Proven experience in leading CAPAs, design-defect analyses, remediation is required. Proficiency in solid mechanics/mechanics of materials and proficiency statistical methods/tools is required. Experience with design standard methodologies, including advanced tolerance design, and design for reliability. Working with regulatory standards Exposure to Chemistry/ Chemical Engineering and/or structural analysis and simulation/mathematical modelling desirable. Skills Ability to lead and teach others to assess project/program needs, formulate strategy, build support, and execute initiatives. Strong interpersonal and influence skills. Ability to engage and mentor team members and to maximize diverse perspectives to achieve the best outcomes. Ability to analyze, organize and present large amounts of data in a clear and concise manner. Disciplined, detailed, and well organized with managing documentation in a regulated environment. Ability to execute concurrently multiple projects and manage priorities. Ability to work independently with global exposure is desired. Strong written and verbal communication skills. Advanced Problem-solving skills. Strong Cross-functional Project Leadership skills. Strong technical and managerial judgment. Team orientation. Strong skills in project planning and management. Broad and deep understanding of disciplined change control processes, regulatory, and quality requirements. Strong motivational fit. Strong fit with BD values. Desired / Additional Skills & Knowledge (Not essential to the job but will be an advantage to possess) Experience in solid modelling (SolidWorks) or electromechanical systems is a plus. Experience in high-volume manufacturing processes is a plus. Experience developing and commercializing medical devices is a plus. DFSS training or certifications are a plus. Required Skills Optional Skills Primary Work Location IND Bengaluru - Technology Campus Additional Locations Work Shift Show more Show less