9439 Statistics Jobs - Page 5

The healthcare industry is the next great frontier of opportunity for software development, and Health Catalyst is one of the most dynamic and influential companies in this space. We are working on solving national-level healthcare problems, and this is your chance to improve the lives of millions of people, including your family and friends. Health Catalyst is a fast-growing company that values smart, hardworking, and humble individuals. Each product team is a small, mission-critical team focused on developing innovative tools to support Catalyst’s mission to improve healthcare performance, cost, and quality. Health Catalyst is expanding and maintains a large suite of Improvement Apps that contribute to healthcare analytics and process improvement solutions. This includes products that manage the care of health system populations, better serve patients at the point of care, reduce health system costs, and reduce clinician workload. Job Summary: As a Lead Engineer, you will be working with diverse Improvement Apps, software engineering team designing, developing, and maintaining various platforms that serve internal HCAT team members, clinicians, and patients. You will rely on Test-Driven Development to safely enhance and refactor our system, shipping production code multiple times per week. And you will go to bed each night with the comfort that your code is improving outcomes for patients. If you love… Help drive clarity and prototype individual features or problems Knowledge of architecture patterns and the ability to design and complete features / tasks that are 50-60% well defined. Can discern where gaps can be filled in without consulting a Product Manager or another programmer and can judge when a consultation is needed. Work is reviewed with the occasional need for material direction or implementation changes Seeks and provides guidance via PR reviews, pair-programming and other interactions with Engineers and Product Managers It is second nature to develop high code quality standards balanced with the needs of real-world customer timelines. Possesses a passion and drive to deliver exceptional products and follows established patterns and approaches within existing code bases with ease. Takes ownership of learning and growth Capitalizes on internal and external opportunities for learning. Identifies gaps in knowledge/skills and seeks ways to close those gaps (self-guided learning, pairing, seeking guidance for yourself and developing guidance for less experienced members of the team) Periodic On Call Rotation Ability to communicate with Customer Success about customer issues that are escalated to Engineering and help quantify customer impact. Can Respond quickly to operational emergencies, find short term resolutions and plan long term fixes to avoid similar issues in the future. What you own in the role: Lead a small team of developers and DevOps engineers, providing mentorship and technical guidance. Implement monitoring solutions using Prometheus, Grafana, ELK Stack, or similar tools. Work closely with product managers and stakeholders to define project requirements and timelines. Filtering and “cleaning” data by reviewing reports and performance indicators to locate and correct code problems. Manage and automate deployment pipelines using CI/CD tools (Jenkins, GitHub Actions, GitLab CI/CD). Locating and defining new process improvement opportunities. What you bring to this role: Bachelor's degree or equivalent practical experience preferred. Strong working knowledge of Java Strong working knowledge of CI/CD Strong knowledge of and experience with Azure Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy, in a timely manner Adept at constructing efficient queries, writing reports and presenting findings Ability to manage multiple and simultaneous responsibilities and to prioritize scheduling of work Strong verbal and written communication skills 8 to 9 years work experience as an Java app developer BS or MS in Statistics, Mathematics, Economics, Computer Science, Information Management, or a similar field Show more Show less

📊 Job Opening: Data Analyst – Fresher (Remote) 🏢 Company: Appzime Technologies 🧑‍💼 Experience: 0–1 year (Freshers Welcome) 📍 Location: Remote (Work from Anywhere) 💰 Salary: ₹25,000 – ₹30,000/month 🔍 About the Role We’re looking for an enthusiastic and analytical Data Analyst (Fresher) who is eager to dive into data, uncover insights, and support data-driven decisions across marketing, tech, and operations. This is a remote-first opportunity with real responsibilities and steep learning. 📌 Key Responsibilities Collect, clean, and analyze data from internal tools, Excel sheets, Google Analytics, and databases. Prepare reports and dashboards using Excel, Google Sheets, or Power BI. Assist in identifying business trends, performance gaps, and improvement areas. Work with cross-functional teams (Marketing, Product, Tech) to support ongoing reporting needs. Conduct exploratory data analysis and support in creating visualizations. ✅ Requirements Bachelor's degree in Statistics, Mathematics, Computer Science, or any related field. Proficiency in Excel, Google Sheets, and basic formulas. Understanding of data analysis concepts, basic statistics, and visualization. Familiar with SQL and tools like Power BI, Google Data Studio, or Tableau (preferred but not mandatory). Good communication skills and a proactive, self-learning mindset. Bonus: Academic projects, internship experience, or certifications in data analysis. 🌟 Why Join Appzime? Work from anywhere with a flexible schedule. Learn from real datasets and live industry projects. Get mentorship from data professionals and growth-oriented teammates. Exposure to cross-domain data (marketing, product, ops). Clear path for upskilling into data science or BI roles. 📧 Apply Now: careers@appzime.com Contact Person: https://www.linkedin.com/in/harshit2904/ Show more Show less

Job Description: About the Role As a Senior Business Analyst, you will work on improving the reporting tools, methods, and processes of the team you are assigned to. You will also create and deliver weekly, monthly, and quarterly metrics critical for tracking and managing the business. You will manage numerous requests concurrently and strategically, prioritizing them when necessary. You will actively engage with internal partners throughout the organization to meet and exceed customer service levels and transport-related KPIs. You will brainstorm simple, scalable solutions to difficult problems, and seamlessly manage projects under your purview. You will maintain excellent relationships with our users – and in fact, advocate for them – while keeping in mind the business goals of your team. What you will do Create various algorithms for optimizing demand and supply data Conduct analysis and solution-building based on insights captured from data Give insights to management and help in strategic planning Analyze metrics, key indicators and other available data sources to discover root causes of process defects Support business development and help to create efficient designs and solution processes Determine efficient utilization of resources Research and implement cost reduction opportunities Must have skills B.Tech/M.Tech /MBA in any discipline 2+ years of experience as a Business Analyst Proficiency in Advanced Excel and Advanced SQL (must-have) and Python(must have) Understanding of basic statistics and probability concepts Proven problem-solving skills Show more Show less

Nomura Overview: Nomura is a global financial services group with an integrated network spanning approximately 30 countries and regions. By connecting markets East & West, Nomura services the needs of individuals, institutions, corporates and governments through its three business divisions: Wealth Management, Investment Management, and Wholesale (Global Markets and Investment Banking). Founded in 1925, the firm is built on a tradition of disciplined entrepreneurship, serving clients with creative solutions and considered thought leadership. For further information about Nomura, visit www.nomura.com. Nomura Services, India supports the group’s global businesses. With world-class capabilities in trading support, research, information technology, financial control, operations, risk management and legal support, the firm plays a key role in facilitating the group’s global operations. At Nomura, creating an inclusive workplace is a priority. Our approach to inclusion encompasses a variety of initiatives, including sensitization campaigns, implementing conducive policies & programs, providing infrastructure support and engaging in community events. Over time, we have made meaningful progress in these areas, and this commitment has been well-recognized across the industry. We are proud recipients of the prestigious Top 10 Employers award by the India Workplace Equality Index (IWEI), IWEI Gold Employer of Choice awards, India CSR Leadership Award 2024 for Holistic Village Development Program and the YUVA Unstoppable Changemaker Awards. Business Overview: Nomura's Wholesale BRM trading team manages the counterparty, funding and financial resources for the firm, working closely with various other desks like Trading, Treasury etc. The team is also actively involved in multiple regulatory driven projects like implementation of NSFR, Leverage Ratio, Bilateral Initial Margining, to name a few. Powai BRM team works as an integrated part of the global team and participates in its various day to day activities as well as new initiatives. This role will primarily focus on supporting the Bilateral IM tasks and managing associated funding and collateral costs of firm , while also requiring help on other projects of global BRM team from time to time to meet its objectives. Please see “Role and Responsibilities” section for more details Position Specifications: Corporate Title: Associate Experience: 2-8 years Qualification: Graduate/Post Graduate degree in Engineering; or Quantitative subjects (for e.g. Mathematics, Physics, Statistics) Role & Responsibilities: Investigating and analysing IM breaks between Nomura and counterparts which are caused by model differences or risk sensitivities differences or other non-trivial issues. Pro-actively engaging with counterparties to understand and confirm root causes of the differences in order to resolve them. Liaising with various others teams, for e.g. Quants, IT, Other trading desks, BRM management, etc. as and when required. Monitoring the effectiveness of the SIMM for future development of the model, in conjunction with Quants. Participating in various project related working groups and driving the requirements from GM & BRM perspective. Working with global and regional BRM teams and helping them in meeting their objectives related to various projects. Mind Set: Strong analytical skills Basic understanding of numerical techniques and models used in derivative pricing and on how greeks are calculated Strong Excel skills Excellent oral and written communication skills A good team player and having a “self-start” approach to learning and solving problems Experience in role dealing with market risks or credit risks or derivative valuation Programming skills in VBA, Python We are committed to providing equal opportunities throughout employment including in the recruitment, training and development of employees. We prohibit discrimination in the workplace whether on grounds of gender, marital or domestic partnership status, pregnancy, carer’s responsibilities, sexual orientation, gender identity, gender expression, race, color, national or ethnic origins, religious belief, disability or age. *Applying for this role does not amount to a job offer or create an obligation on Nomura to provide a job offer. The expression "Nomura" refers to Nomura Services India Private Limited together with its affiliates. Show more Show less

Roles and Responsibilities : Analyze category performance across sales channels (D2C, marketplaces, offline). Track KPIs like revenue, ASP, margin, sell-through, stock cover, and inventory turns. Conduct pricing, discount, and profitability analysis at SKU and category levels. Identify top-performing or underperforming products and uncover performance drivers. Build dashboards and automated reports for category health and inventory planning. Collaborate with marketing, SCM, and category teams to inform business decisions. Perform trend, seasonality, and cohort analysis to improve demand forecasting. Use customer behavior data (views, clicks, conversions) to support assortment planning. Automate reporting workflows and optimize SQL/Python pipelines. Support new product launches with benchmarks and success prediction models. Skills & Qualifications : 0–2 years of experience in a data analytics role, preferably in E- commerce or Retail. Proficiency in MySQL: writing complex queries, joins, window functions. Advanced Excel/Google Sheets: pivot tables, dynamic dashboards, conditional formatting. Experience in Python: Pandas, automation scripts, statsmodels/scikit- learn. Comfort with data visualization: Power BI / Tableau / Looker Studio. Understanding of product lifecycle, inventory metrics, pricing levers, and customer insights. Strong foundation in statistics: descriptive stats, A/B testing, forecasting models. Excellent problem-solving, data storytelling, and cross-functional collaboration skills. Preferred / Bonus Skills : Experience with Shopify, Magento, or other e-commerce platforms. Familiarity with Google Analytics 4 (GA4). Knowledge of merchandising or visual analytics. Exposure to machine learning (e.g., clustering, success prediction). Experience with VBA or Google Apps Script for reporting automation. Show more Show less

Role: Senior Delivery Lead Location: India – Mumbai | Pune Job Summary The Senior Delivery Lead is a pivotal role responsible for driving client satisfaction, revenue growth, and operational excellence. This individual will serve as a trusted advisor to the client, providing strategic guidance while overseeing the successful delivery of complex data and analytics projects. Key Responsibilities Client Relationship Management: Build and maintain strong, strategic partnerships with clients. Proactively identify client needs, develop tailored solutions, and exceed client expectations. Serve as the primary point of contact for client escalations and issues. Consulting: Provide expert guidance and solutions to address complex business challenges through data-driven insights. Develop and execute strategic roadmaps aligned with client objectives. Client Context Alignment: Capture and effectively communicate client context across eClerx teams to ensure alignment between client needs and eClerx objectives. Solution Design: Lead the conceptualization and development of data-driven solutions in areas such as marketing, customer service, and supply chain. Translate business requirements into actionable solution blueprints, considering data availability, technical feasibility, and business impact. Delivery Oversight: Lead delivery teams to ensure successful project execution, quality, and adherence to timelines. Business Development: Partner with sales and account team to drive revenue growth, develop and delvier compelling proposals. Expand the client base and increase account penetration. Cross-Functional Collaboration: Foster strong collaboration with cross-functional teams to deliver comprehensive solutions. Team Leadership: Provide strategic leadership to a hybrid team of data scientists and analysts. Hire, develop, and retain top talent. Ensure team alignment with organizational goals. Qualifications and Experience Advanced degree (MBA, MS in Data Science, Statistics, or related field) with 10+ years of relevant experience Excellent communication and presentation skills with the ability to articulate complex technical concepts to both technical and non-technical audiences. Demonstrated ability to build and maintain strong relationships at the executive level within the client organization. Strong problem-solving and analytical skills to address complex business challenges. Deep expertise in data science, machine learning, and statistical modeling techniques applied to marketing, customer service, and supply chain functions. Strong understanding of cloud platforms (AWS, GCP, Azure) and data engineering tools (e.g., Databricks, Snowflake). Experience managing and collaborating with remote teams. Proven leadership and people management skills with a focus on developing and retaining talent. Proven negotiation skills to build consensus and drive successful outcomes. Demonstrated commercial acumen and ability to estimate project costs and develop pricing models. Proven experience in managing diverse client needs and delivering complex analytics solutions across various industries, with a preference for experience in the technology sector. Demonstrated expertise in data engineering, data science, machine learning, and business intelligence principles, with a preference for hands-on experience in large-scale data engineering projects or data science/ML initiatives. Proven ability to extract meaningful insights from complex data sets and communicate findings effectively to both technical and non-technical audiences. Proven experience in applying agile methodologies (such as Scrum) and proficiency in project management tools (e.g., Jira, Asana, GitHub). Proficiency in SQL, Python, and R programming languages. Experience with data visualization tools such as Power BI and Tableau . Proficiency in applying problem-solving frameworks (such as root cause analysis, Six Sigma, or Design Thinking) to address complex business challenges. Show more Show less

Job Overview We are looking for a dynamic and innovative Full Stack Data Scientist with 2+ years of experience who excels in end-to-end data science solutions. The ideal candidate is a tech-savvy professional passionate about leveraging data to solve complex problems, develop predictive models, and drive business impact in the MarTech domain. Key Responsibilities 1. Data Engineering & Preprocessing Collect, clean, and preprocess structured and unstructured data from various sources. Perform advanced feature engineering, outlier detection, and data transformation. Collaborate with data engineers to ensure seamless data pipeline development. 2. Machine Learning Model Development Design, train, and validate machine learning models (supervised, unsupervised, deep learning). Optimize models for business KPIs such as accuracy, recall, and precision. Innovate with advanced algorithms tailored to marketing technologies. 3. Full Stack Development Build production-grade APIs for model deployment using frameworks like Flask, FastAPI, or Django. Develop scalable and modular code for data processing and ML integration. 4. Deployment & Operationalization Deploy models on cloud platforms (AWS, Azure, or GCP) using tools like Docker and Kubernetes. Implement continuous monitoring, logging, and retraining strategies for deployed models. 5. Insight Visualization & Communication Create visually compelling dashboards and reports using Tableau, Power BI, or similar tools. Present insights and actionable recommendations to stakeholders effectively. 6. Collaboration & Teamwork Work closely with marketing analysts, product managers, and engineering teams to solve business challenges. Foster a collaborative environment that encourages innovation and shared learning. 7. Continuous Learning & Innovation Stay updated on the latest trends in AI/ML, especially in marketing automation and analytics. Identify new opportunities for leveraging data science in MarTech solutions. Qualifications Educational Background Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Technical Skills Programming Languages: Python (must-have), R, or Julia; familiarity with Java or C++ is a plus. ML Frameworks: TensorFlow, PyTorch, Scikit-learn, or XGBoost. Big Data Tools: Spark, Hadoop, or Kafka. Cloud Platforms: AWS, Azure, or GCP for model deployment and data pipelines. Databases: Expertise in SQL and NoSQL (e.g., MongoDB, Cassandra). Visualization: Mastery of Tableau, Power BI, Plotly, or D3.js. Version Control: Proficiency with Git for collaborative coding. Experience 2+ years of hands-on experience in data science, machine learning, and software engineering. Proven expertise in deploying machine learning models in production environments. Experience in handling large datasets and implementing big data technologies. Soft Skills Strong problem-solving and analytical thinking. Excellent communication and storytelling skills for technical and non-technical audiences. Ability to work collaboratively in diverse and cross-functional teams. Preferred Qualifications Experience with Natural Language Processing (NLP) and Computer Vision (CV). Familiarity with CI/CD pipelines and DevOps for ML workflows. Exposure to Agile project management methodologies. Why Join Us? Opportunity to work on innovative projects with cutting-edge technologies. Collaborative and inclusive work environment that values creativity and growth. If you're passionate about turning data into actionable insights and driving impactful business decisions, we’d love to hear from you! Job Types: Full-time, Permanent Pay: ₹1,000,000.00 - ₹1,200,000.00 per year Benefits: Flexible schedule Health insurance Life insurance Paid sick time Paid time off Provident Fund Schedule: Day shift Fixed shift Monday to Friday Experience: Data science: 2 years (Required) Location: Gurugram, Haryana (Preferred) Work Location: In person

Trelleborg is a world leader in engineered polymer solutions for almost every industry on the planet. And we are where we are because our talents brought us here. By specializing in the polymer engineering that makes innovation and application possible, Trelleborg works closely with leading industry brands to accelerate their performance, drive their business forward—and along the way, shape the industry and progress that will benefit humankind in the exciting years ahead. Our people are Shaping Industry from the Inside. Why don´t you join us? Are you a talent looking to build business skills, gain experience, and take on exciting challenges? Grow your career with Trelleborg and start shaping the industry from the inside. About the Job We are looking for a proactive and detail-oriented Export and Legal Assistant (E & L Assistant) to join the Trelleborg Group Legal team. In this role, you will play a key part in ensuring our businesses export activities comply with international trade laws and regulations. You’ll work closely with legal counsel, logistics, and operations teams to manage export approvals for our manufactured goods and technologies. As an Export and Legal Assistant , you will be responsible for providing administrative assistance in various administrative tasks such as maintenance of documentation and filings in the internal digital filing system for the Asia Pacific region. Your organizational skills and attention to detail will be essential in ensuring the smooth operation of the Group Legal department. About the Job Ensure compliance with international trade regulations (e.g., EAR, ITAR) and export control laws. Assist in timely review of export trade approval requests through in house digital system. Review and advise export documentation including licenses, end-use certificates. Monitor changes in trade laws and assist in updating internal compliance procedures. Support internal audits related to export compliance. Preparing of reports related to export trade approval statistics, such as quarterly reports. Updating the director changes/ capital change /entity name changes into in-house software system and documents conducted in annual general meetings. Assist in circulation of documents for signatures across different countries in Asia Pacific, Europe and US. Assist in arranging expenses documentation for Legal team in the in-house software system. Manage and organize legal files and records in the in-house software system. Advise internal stakeholders on trade compliance matters, including import/export classifications, licensing, and sanctions screening. Monitor changes in trade laws and regulations that may impact the company’s operations. About the Ideal Candidate Education & Experience: Graduation/Post Graduation in any discipline preferably Bachelor or Master of Commerce, preferably with experience in international trade, International Business, or a related field. 3-5 Years of experience in export compliance or legal support within a manufacturing or industrial setting. Experience in export compliance or legal support within a manufacturing or industrial setting. Prior experience in working within international environment / teams is welcome. Preferred Qualification: Any Certification in Export Compliance Experience with dual-use goods or defense-related exports Competencies: Proficient in Presentation Skills and MS Office applications Strong organizational, communication, and documentation skills Ability to work cross-functionally and manage multiple priorities. Strong in dealing with sensitive information with discretion and to maintain confidentiality. Any experience in handling international trade in supply chain or purchasing. Ability to work cross-functionally and manage multiple priorities. Our Benefits for You: Work in the multicultural work environment Detailed induction training for your new tasks: You will get to know our company, your contacts, and our structures An exciting, multifaceted, and interdisciplinary field of activity. Start shaping the industry from the inside! #ShapingIndustryfromtheInside# Trelleborg is an Equal Opportunity Employer, and we take pride in the diversity of our employees, valuing the special experience and expertise that people from different backgrounds bring to our business. The ability to develop ground-breaking technologies is one of our key assets and our people make it happen. Feel free to contact our HR Team for any questions: Ashwini @ ashwini.venkatesh@trelleborg.com Show more Show less

About Rapido We are India’s largest bike-taxi platform, steadily venturing into Auto, Delivery, Rental, and more. Currently, present in ~100 cities, we are growing close to ~50% year-on-year with steady funding. We have changed the concept of intra-city travel and made last-mile connectivity affordable to all. Along with being the #1 choice of 40 million people, we have also built a solid captain base of over 5 million registered captains, who have bettered their lives with Rapido. As an employer, we provide a lot of ownership to our team members providing multiple avenues for them to grow within the company. You will only grow with us with the right balance of ambition, fun, and transparent work culture! Job Summary: As a Senior Data Scientist your will be responsible for understanding product/business priorities, conducting opportunity analysis, defining product level metrics, setting metric targets, building data-driven hypothesis, and running high-quality experiments to hit those targets.A Senior Data Scientist should have an experienced of solving complex data analysis and machine learning problems in a real-world product setting. The role requires someone who is very comfortable working across teams, good at communicating and able to drive analysis and manage multiple streams. Your role would also require you to mentor junior Data Scientists in their learning and development. You will be part of a dynamic team and regularly work with colleagues from other verticals to co-ordinate and collaborate within an increasingly interconnected Data Science team here @ Rapido. Job Responsibilities: ● Translating business requirements into analytical solutions ● Do hands-on data analysis, using statistical techniques ● Pre-processing of structured and unstructured data ● Should be able to steer direction related to improving data collection for analytical systems ● Should be proficient in model development, validation and then roll-out ● Understand business challenges and goals to formulate the approach for data analysis and model creation ● Tune the model(s) to improve results provided over time ● Create an analytics roadmap for the project ● Collaborate with a technology/data engineering team to transfer the business understanding, get the model productionized and validate the output ● Work in highly collaborative teams that strive to build quality systems and provide business value ● Articulate insights and story telling for the senior management ● Mentor Junior Data team members in their learning and development Job Requirements: ● Work experience - 4 years as a Data Scientist or equivalent position and overall 6 years ● Masters or Ph.D. in Statistics, Math, CS, Econ, Physics, Engineering or related scientific disciplines; ● Passion for understanding business problems and trying to address them by leveraging data - characterized by high-volume, high dimensionality from multiple sources ● Experience with building predictive statistical, behavioral or other models via supervised and unsupervised machine learning, statistical analysis, and other predictive modeling techniques. ● Worked in a big data environment before alongside a data engineering team (and data visualization team, data and business analysts) ● Statistical knowledge - Proven experience in statistical methods like and not limited to Markov Models, Stochastic models, Bayesian Models, Classification Models, Cluster Analysis, Multivariate Stats, Regression Models, Ensemble Techniques ● Machine Learning - Prior work experience in one or more of these knowledge areas (domain agnostic): Price Modeling, Demand Forecasting, Recommender Systems, User Profiling, Fraud Detectors ● Experience in SQL is must ● Technologies - Proficiency in Python (must have) and any other prog. language; Specific libraries may include - Scikit-learn, pandas, TensorFlow, Keras, Torch, Caffe, Theano, etc; ● Experience of Pyspark is a plus ● Experience with A/B Testing framework ● Experience in managing a small team of data scientists is a plus What’s there for you? ● If you are excited to solve Complex Business problems at scale where you will cater to 10 million rides in a day across 100 cities, no better place to be. ● You can go swimming in our 100s of TBs of data on self-managed databases ● Opportunity to contribute in solving challenging problems like supply-demand matching, demand forecasting, ROI optimization, Segmentation, Causal Inference and many more. ● We have a very flat hierarchy and collaboration is our success mantra ● Chance to work with a lean team of highly talented and motivated people across all levels ● You will be working with cross functional teams and have a great learning curve and business exposure. Show more Show less

Coupa makes margins multiply through its community-generated AI and industry-leading total spend management platform for businesses large and small. Coupa AI is informed by trillions of dollars of direct and indirect spend data across a global network of 10M+ buyers and suppliers. We empower you with the ability to predict, prescribe, and automate smarter, more profitable business decisions to improve operating margins. Why join Coupa? 🔹 Pioneering Technology: At Coupa, we're at the forefront of innovation, leveraging the latest technology to empower our customers with greater efficiency and visibility in their spend. 🔹 Collaborative Culture: We value collaboration and teamwork, and our culture is driven by transparency, openness, and a shared commitment to excellence. 🔹 Global Impact: Join a company where your work has a global, measurable impact on our clients, the business, and each other. Learn more on Life at Coupa blog and hear from our employees about their experiences working at Coupa. The Impact of Lead AI Engineer to Coupa: XXXX What you will do: Collaborate closely with product managers, engineers, and cross-functional stakeholders to define metrics and outcomes for AI-driven product features and capabilities Design, develop, and deploy sophisticated AI models, agents, and intelligent assistants leveraging Large Language Models (LLMs), including both language processing and advanced reasoning tasks Engineer robust, scalable, and reliable prompt-based solutions to effectively integrate LLMs into production-grade SaaS applications Implement experimentation frameworks, conduct rigorous evaluations, and iterate rapidly based on user feedback and data-driven insights Establish automated monitoring and quality assurance mechanisms for continuous evaluation and enhancement of model performance Provide strategic vision and technical leadership to navigate evolving trends and emerging methodologies within AI, particularly focusing on leveraging generative AI capabilities What you will bring to Coupa: Strong analytical and problem-solving skills focused on creating impactful AI-driven product experiences Proven expertise in Python for developing, deploying, and optimizing complex AI models and pipelines Extensive experience with Large Language Models (e.g., GPT-4o, Claude, LLaMA), including prompt engineering, fine-tuning, and evaluating performance Solid understanding of various machine learning paradigms (supervised, unsupervised, reinforcement learning) and practical experience deploying these methods at scale Deep knowledge of reasoning frameworks, agent architectures, retrieval-augmented generation (RAG), and related AI techniques Excellent proficiency in modern data architectures and experience with distributed data frameworks (e.g., Spark, Hadoop) Familiarity with cloud infrastructure (AWS, Azure, GCP) for deploying scalable AI/ML services Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders A strong drive to stay abreast of cutting-edge AI research and proactively integrate relevant innovations into production systems 5+ years of experience building, deploying, and managing AI/ML models in production environments Educational background in Computer Science, Data Science, Statistics, Mathematics, or related fields, or equivalent professional experience Experience with modern ML and AI development tools (e.g., Hugging Face, LangChain, PyTorch, TensorFlow) and visualization platforms (e.g., Streamlit, D3, Plotly, Matplotlib) Coupa complies with relevant laws and regulations regarding equal opportunity and offers a welcoming and inclusive work environment. Decisions related to hiring, compensation, training, or evaluating performance are made fairly, and we provide equal employment opportunities to all qualified candidates and employees. Please be advised that inquiries or resumes from recruiters will not be accepted. By submitting your application, you acknowledge that you have read Coupa’s Privacy Policy and understand that Coupa receives/collects your application, including your personal data, for the purposes of managing Coupa's ongoing recruitment and placement activities, including for employment purposes in the event of a successful application and for notification of future job opportunities if you did not succeed the first time. You will find more details about how your application is processed, the purposes of processing, and how long we retain your application in our Privacy Policy. Show more Show less

Roles & Responsibilities Core Skills Strong knowledge of statistics and probability theory Proficiency in at least one programming language such as Python and SQL Experience with data visualization tools such as PowerBI Understanding of machine learning algorithms and models Knowledge of data cleaning and preprocessing techniques Experience with data analysis and interpretation Experience 3-4.5 Years Skills Primary Skill: Data Science Sub Skill(s): Data Science Additional Skill(s): Python, Data Science About The Company Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail & CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP). Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Kraków, Noida, Gurgaon, Mumbai, Pune, and Bengaluru. Show more Show less

Roles & Responsibilities About the Role The Data Science department plays a pivotal role in our company, generating value to client by developing algorithms and analytical production-grade solutions. We leverage advanced techniques and algorithms to provide maximum value from data in all shapes and sizes (such as classification models, NLP, anomaly detection, graph theory, deep learning, and more). As a Data Scientist, you will assume the classic data-science role of an end-to-end project development and implementation practitioner. Being part of the team requires a mix of hard quantitative and analytical skills, solid background in statistical modeling and machine learning, a technical data-savvy nature, along with a passion for problem-solving and a desire to drive data-driven decision-making. What You'll Be Doing Data Exploration and Preprocessing: Collect, clean, and transform large, complex data sets from various sources to ensure data quality and integrity for analysis Statistical Analysis and Modeling: Apply statistical methods and mathematical models to identify patterns, trends, and relationships in data sets, and develop predictive models Machine Learning: Develop and implement machine learning algorithms, such as classification, regression, clustering, and deep learning, to solve business problems and improve processes Feature Engineering: Extract relevant features from structured and unstructured data sources, and design and engineer new features to enhance model performance Model Development and Evaluation: Build, train, and optimize machine learning models using state-of-the-art techniques, and evaluate model performance using appropriate metrics Data Visualization: Present complex analysis results in a clear and concise manner using data visualization techniques, and communicate insights to stakeholders effectively Collaborative Problem-Solving: Collaborate with cross-functional teams, including product managers, data engineers, software developers, and business stakeholders to identify data-driven solutions and implement them in production environments Research and Innovation: Stay up to date with the latest advancements in data science, machine learning, and related fields, and proactively explore new approaches to enhance the company's analytical capabilities Qualifications B.Sc (M.Sc is a plus) in Computer Science, Mathematics, Statistics, or a related field 3+ years of proven experience designing and implementing machine learning algorithms and successfully deploying them to production. Strong understanding and practical experience with various machine learning algorithms. Proficiency in Python, Experience with SQL and data manipulation tools (e.g., Pandas, NumPy) to extract, clean, and transform data for analysis Solid foundation in statistical concepts and techniques, including hypothesis testing, regression analysis, time series analysis, and experimental design Strong analytical and critical thinking skills to approach business problems, formulate hypotheses, and translate them into actionable solutions Proficiency in data visualization libraries, to create meaningful visual representations of complex data Excellent written and verbal communication skills to present complex findings and technical concepts to both technical and non-technical stakeholders Demonstrated ability to work effectively in cross-functional teams, collaborate with colleagues, and contribute to a positive work environment Advantages: Experience in the fraud domain Experience with Airflow, CircleCI, PySpark, Docker and K8S Senior Data Scientist Qualifications B.Sc (M.Sc is a plus) in Computer Science, Mathematics, Statistics, or a related field 5+ years of proven experience designing and implementing machine learning algorithms and successfully deploying them to production. Strong understanding and practical experience with various machine learning algorithms. Proficiency in Python, Experience with SQL and data manipulation tools (e.g., Pandas, NumPy) to extract, clean, and transform data for analysis Solid foundation in statistical concepts and techniques, including hypothesis testing, regression analysis, time series analysis, and experimental design Strong analytical and critical thinking skills to approach business problems, formulate hypotheses, and translate them into actionable solutions Proficiency in data visualization libraries, to create meaningful visual representations of complex data Excellent written and verbal communication skills to present complex findings and technical concepts to both technical and non-technical stakeholders Demonstrated ability to work effectively in cross-functional teams, collaborate with colleagues, and contribute to a positive work environment Advantages: Experience in the fraud domain Experience with Airflow, CircleCI, PySpark, Docker and K8S Data Scientist- Autonomous About Us Empowers businesses to unleash ecommerce growth by taking risk off the table. Many of the world’s biggest brands and publicly traded companies selling online rely on us for guaranteed protection against chargebacks, to fight fraud and policy abuse at scale, and to improve customer retention. Developed and managed by the largest team of ecommerce risk analysts, data scientists and researchers, AI-powered fraud and risk intelligence platform analyzes the individual behind each interaction to provide real-time decisions and robust identity-based insights. We are proud to work with incredible companies in virtually all industries including Wayfair, Acer, Gucci, Lorna Jane, GoPro, and many more We thrive in a collaborative work setting, alongside great people, to build and enhance products that matter. Abundant opportunities to create and contribute provide us with a sense of purpose that extends beyond ourselves, leaving a lasting impact. These sentiments capture why we choose every day. About The Role The Research and Data Science department plays a pivotal role in our company, generating value to client by developing algorithms and analytical production-grade solutions. We leverage advanced techniques and algorithms to provide maximum value from data in all shapes and sizes (such as classification models, NLP, anomaly detection, graph theory, deep learning, and more). As a Data Scientist, you will assume the classic data-science role of an end-to-end project development and implementation practitioner. Being part of the team requires a mix of hard quantitative and analytical skills, solid background in statistical modeling and machine learning, a technical data-savvy nature, along with a passion for problem-solving and a desire to drive data-driven decision-making. What You'll Be Doing Data Exploration and Preprocessing: Collect, clean, and transform large, complex data sets from various sources to ensure data quality and integrity for analysis Statistical Analysis and Modeling: Apply statistical methods and mathematical models to identify patterns, trends, and relationships in data sets, and develop predictive models Machine Learning: Develop and implement machine learning algorithms, such as classification, regression, clustering, and deep learning, to solve business problems and improve processes Feature Engineering: Extract relevant features from structured and unstructured data sources, and design and engineer new features to enhance model performance Model Development and Evaluation: Build, train, and optimize machine learning models using state-of-the-art techniques, and evaluate model performance using appropriate metrics Data Visualization: Present complex analysis results in a clear and concise manner using data visualization techniques, and communicate insights to stakeholders effectively Collaborative Problem-Solving: Collaborate with cross-functional teams, including product managers, data engineers, software developers, and business stakeholders to identify data-driven solutions and implement them in production environments Research and Innovation: Stay up to date with the latest advancements in data science, machine learning, and related fields, and proactively explore new approaches to enhance the company's analytical capabilities Qualifications B.Sc (M.Sc is a plus) in Statistics, Computer Science, Mathematics, or a related field 3+ years of proven experience designing and implementing machine learning algorithms and techniques in production grade Strong understanding and practical experience with various machine learning algorithms, such as linear regression, logistic regression, decision trees, similarity search, neural networks, and deep learning Proficiency in programming languages such as Python or R for data manipulation, statistical analysis, and machine learning model development Experience with SQL and data manipulation tools (e.g., Pandas, NumPy) to extract, clean, and transform data for analysis Solid foundation in statistical concepts and techniques, including hypothesis testing, regression analysis, time series analysis, and experimental design Strong analytical and critical thinking skills to approach business problems, formulate hypotheses, and translate them into actionable solutions Proficient in data visualization libraries (e.g., Matplotlib, Seaborn, ggplot) to create meaningful visual representations of complex data Excellent written and verbal communication skills to present complex findings and technical concepts to both technical and non-technical stakeholders Demonstrated ability to work effectively in cross-functional teams, collaborate with colleagues, and contribute to a positive work environmentAdvantages: Experience in the fraud domain Experience with Airflow, CircleCI, PySpark, Docker and K8S Experience 6-8 Years Skills Primary Skill: Data Science Sub Skill(s): Data Science Additional Skill(s): AI/ML Development, Data Science About The Company Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail & CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP). Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Kraków, Noida, Gurgaon, Mumbai, Pune, and Bengaluru. Show more Show less

Job Title : Technical Architect - Data Governance & MDM Experience: 15+ years Location: Mumbai/Pune/Bangalore Role Overview: The Technical Architect specializing in Data Governance and Master Data Management (MDM) designs, implements, and optimizes enterprise data solutions. The jobholder has expertise in tools like Collibra, Informatica, InfoSphere, Reltio, and other MDM platforms, ensuring data quality, compliance, and governance across the organization. Responsibilities: Architect and optimize strategies for data quality, metadata management, and data stewardship. Design and implement data governance frameworks and MDM solutions using tools like Collibra, Informatica, InfoSphere, and Reltio. Develop strategies for data quality, metadata management, and data stewardship. Collaborate with cross-functional teams to integrate MDM solutions with existing systems. Establish best practices for data governance, security, and compliance. Monitor and troubleshoot MDM environments for performance and reliability. Provide technical leadership and guidance to data teams. Stay updated on advancements in data governance and MDM technologies. Key Technical Skills. 10+ years of experience working on DG/MDM projects Strong on Data Governance concepts Hands-on different DG tools/services Hands-on Reference Data, Taxonomy Strong understanding of Data Governance, Data Quality, Data Profiling, Data Standards, Regulations, Security Match and Merge strategy Design and implement the MDM Architecture and Data Models Usage of Spark capabilities Statistics to deduce meanings from vast enterprise level data Different data visualization means of analyzing huge data sets Good to have knowledge of Python/R/Scala languages Experience on DG on-premise and on-cloud Understanding of MDM, Customer, Product, Vendor Domains and related artifacts Experience of working on proposals, customer workshops, assessments etc is preferred Must have good communication and presentation skills Technology Stack - Collibra, IBM MDM, Reltio, Infosphere Eligibility Criteria 15+ years of total experience. Bachelor’s degree in Computer Science, Data Management, or a related field. Proven experience as a Technical Architect in Data Governance and MDM. Certifications in relevant MDM tools (e.g., Collibra Data Governance, Informatica / InfoSphere / Reltio MDM, ). Experience with cloud platforms like AWS, Azure, or GCP. Proficiency in tools like Collibra, Informatica, InfoSphere, Reltio, and similar platforms. Strong understanding of data modeling, ETL/ELT processes, and cloud integration. Interested candidates can apply directly. Alternatively, you can also send your resume to ansari.m@atos.net Show more Show less

Data Science Subject Matter Expert Experience - 8 - 10 Years US EST hours - 8 AM-5 PM Budget - 45LPA Location Lower Parel, Mumbai (Onsite) Job Requirements: 6 to 7 years of experience manipulating data sets and building statistical and machine learning models. Masters or Ph D in Statistics, Mathematics, Computer Science, or another quantitative field - Fluent English (written/spoken) Experience Developing Machine Learning / Data Science models, from coding to deployment 2+ years of experience in teaching or training. 3+ Years of Hands-on Hybrid Development experience preferred. Skills Able to train/mentor/coach in coding (mandatory python and SQL, java or C++) Project Management background preferred. Knowledge of the Consulting/Sales structure. Empathy and service attitude Fast-paced Project Management experience Desirable previous international experience (US, Canada, or Europe) Leading consultants to grow and create tangible benefits and assets. Competencies Mentor / Develop / Train consultants Orientation to results Leadership Main responsibilities of the position Collecting data through means such as analyzing business results or by setting up and managing new studies Transferring data into a new format to make it more appropriate for analysis Build tools to automate data collection Compare and analyze provided statistical information to identify patterns, relationships, and problems Define and utilize statistical methods to solve industry-specific problems in varying fields, such as economics and engineering Prepare detailed reports for management and other departments by analyzing and interpreting data Train assistants and other members of the team how to properly organize findings and read data collected Design computer code using various languages to improve and update software and applications Refer to previous instances and findings to determine the ideal method for gathering data Define and utilize statistical methods to solve industry-specific problems in varying fields, such as economics and engineering Prepare detailed reports for management and other departments by analyzing and interpreting data Train assistants and other members of the team how to properly organize findings and read data collected Design computer code using various languages to improve and update software and applications Refer to previous instances and findings to determine the ideal method for gathering data Desired Skills (Including but Not Limited to): Knowledge in Deep Learning/Neural Networks techniques, specifically NLP (Natural Language Processing, Generative AI and Computer Vision Python and SQL coding skills are indispensable Cloud experience in one of AWS - Amazon Web Service, Azure, Google Cloud Platform Proficiency oinn Machine Learning libraries and frameworks like Tensorflow, Keras, Pytorch, OpenCV, Bertl, Elmo SpaCy, NLTK, etc. Preferred- Experience creating Chatbots, and similar applications that use NLP. Object Character Recognition and Computer Vision projects like Face Recognition is a plus Experience using statistical computer languages, including Python & SQL, R is a plus to manipulate data and draw insights from large data sets Knowledge and experience in statistical and data mining techniques: GLM / Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc. Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. Ability to compile and organize statistical information retrieved and present findings to management Faculty to work toward multiple deadlines simultaneously Strong problem-solving skills with an emphasis on product development. Certification in a Cloud-Based/Machine Learning service desirable Show more Show less

Company Overview Team Geek Solutions is a forward-thinking organization dedicated to delivering innovative data-driven solutions. Our mission is to empower businesses with actionable insights through advanced analytics and visualization tools. We value collaboration, integrity, and continuous improvement, fostering a culture where knowledge and skills are shared, promoting professional growth and camaraderie among our team members. Role Responsibilities Develop and maintain analytical dashboards using Tableau. Utilize Alteryx to automate data workflows and improve efficiency. Conduct data quality assessments to ensure accuracy and reliability. Transform raw data into actionable insights for different stakeholders. Collaborate with cross-functional teams to gather data requirements. Perform statistical analysis and predictive modeling to support decision-making. Present data findings in a clear and compelling manner to stakeholders. Create and manage datasets for analytics projects including data preparation, cleaning, and manipulation. Monitor dashboard performance and optimize visualization for user experience. Provide training and support on data tools and best practices. Stay updated on the latest industry trends and tools in data analytics. Document analytical processes and methodologies for future reference. Assist in developing and implementing data governance frameworks. Collaborate with IT to ensure data security and integrity. Support ad-hoc data analysis requests from management. Qualifications Bachelor’s degree in Data Science, Statistics, Mathematics, or a related field. Proven experience in data analytics with Alteryx and Tableau. Strong proficiency in SQL for data retrieval and manipulation. Excellent understanding of data visualization principles. Experience in statistical analysis and reporting. Ability to work both independently and as part of a team. Proficient in Excel for advanced data functions. Strong analytical and problem-solving skills. Excellent verbal and written communication skills. Detail-oriented with a commitment to quality work. Ability to manage multiple projects and deadlines. Experience with data governance and management practices. Comfortable with tools like R or Python is a plus. Skills in project management methodologies are an advantage. Willingness to learn and adapt to new technologies. Minimum 2 years of relevant professional experience. Skills: tableau,statistical analysis,visualization,data visualization,data manipulation,sql,project management,python,excel,communication skills,alteryx,data analysis,r Show more Show less

POSITION TITLE: Monitoring, Evaluation and Learning (MEL) Manager, EpiC India REPORTS TO: Team Leaders/Sr. Technical Advisor-HIV, EpiC India LOCATION: New Delhi, India DURATION: Till December 2025 (extendable subject to funding availability) About FHI 360 FHI 360 is a nonprofit human development organization dedicated to improving lives in lasting ways by advancing integrated, locally driven solutions. FHI 360’s technical areas encompass a range of public health priorities, including HIV and AIDS; family planning and reproductive health; maternal and child health; health systems strengthening; integrated health and development; and infectious diseases, including tuberculosis and malaria, and more recently COVID-19 and Mpox. For more information, visit: https://www.fhi360.org. Background (EpiC Project) Meeting Targets and Achieving Epidemic Control (EpiC) is a global project funded by the U.S. President’s Emergency Plan for AIDS Relief (PEPFAR) that provides strategic technical assistance and direct service delivery to achieve HIV epidemic control among at-risk populations and strengthen global health security. EpiC has been operational in India since 2021 and had been focusing on organizational capacity strengthening of community-based organizations (CBOs) working with vulnerable and at-risk populations in the states of Maharashtra and Telangana, and national level networks. Additionally, EpiC has been supporting lifesaving activities for people living with HIV (PLHIV) by addressing non-communicable disease (NCD) screening and management among adult/aging PLHIV clients; and enhancing engagement of young people living with HIV (YLHIV) for index testing and promotion of early initiation and retention on treatment, and responsible living through U=U messaging. In the light of the Executive Order issued by the Trump administration in January 2025, the EpiC India workplan for fiscal year 2025 is being revised to support implementation of lifesaving activities that align to the guidance issued by The Bureau of Global Health Security and Diplomacy (GHSD). In the PEPFAR supported geography of Maharashtra, EpiC is to: Accelerate early HIV case finding among hidden and unreached at-risk populations in community and facility settings to meet the 1st 95 goals. Support lifesaving care and treatment linkages through early linkage and retention on treatment, viral suppression to meet the 2nd and 3rd 95 goals. Address co-morbidities including mitigation of advanced HIV disease (AHD), tuberculosis (TB), opportunistic infections (OIs) and NCDs among adult PLHIV. Job Summary FHI 360 is seeking applications from qualified and experienced candidates to fill a new position of Monitoring, Evaluation and Learning (MEL) Manager for EpiC India. The incumbent is to be based at the FHI 360 Country Office in New Delhi and will be responsible for all strategic information (SI) responsibilities related to the project, including all monitoring, evaluation, analytics, reporting and documentation of performance and results. The MEL Manager will work closely with the project leadership, state and district level program and SI team members of EpiC and sub-grantee partners, to enhance or develop systems across sites and technical/thematic areas to support monitoring of service delivery and performance in real-time to improve service quality and impact and to meet reporting requirements. S/he will work across technical teams to provide consistent guidance and training on appropriate results frameworks and knowledge management practices for the project and its strategies. The MEL Manager will systematically strengthen the alignment of program strategies and activities to lessons learned from program data and client experiences. Job Responsibilities: Set-up / enhance the MEL and performance reporting system for the EpiC project, which will include working with the program team and sub-grantees to collect, analyze, monitor and report on performance of HIV services and activities. Develop tools and formats for data collection, analysis, interpretation and reporting in line with USAID’s latest MER indicators. Support the program team in defining the M&E roles of sub-grantees, reporting frequency, review mechanisms and set-up standardized monitoring mechanisms. Routinely support capacity building of EpiC and sub-grantee staff on M&E and ensure that the teams are oriented on the latest MER indicators and NACO/SACS M&E guidance and confidentiality norms. Review M&E data and reports from the field and ensure their accuracy and appropriateness by analyzing and interpreting the data, and support in data triangulation, visualization to track and monitor progress against targets. Facilitate routine quality checks and validation of sub-grantee/s data and provide feedback to the field staff based on the quality checks and validation exercise. Ensure adherence to quarterly data quality audits as required by donor/EpiC HQ. Ensure that supporting documentation is maintained for all data that is reported to FHI 360 HQ, USAID/PEPFAR, NACO, SACS and DAPCU and entered timely in DATIM. Support the EpiC program team in compilation of the monthly, quarterly and semi-annual progress reports and Plan of Action for Results Tracking (POART) slides and other ad hoc reporting requests. Liaise with relevant technical advisers and counterparts responsible for strategic information (SI) and M&E at EpiC HQ, and support coordination for country-level assistance as needed. Strengthen knowledge management deliverables for the project including documentation of case studies, success stories and other reports. Minimum Qualifications: Master’s degree or higher in epidemiology, M&E, demography, biostatistics, statistics, analytics, public health or other relevant discipline. Minimum 8 year experience on designing, establishing, and managing M&E systems, ensuring data quality, and analyzing data to support performance improvement of programs. Experience of working on M&E system for HIV programs is essential. Previous experience working with USAID or PEPFAR supported program is preferable. Demonstrated expertise in data analysis, managing online databases to ensure easy access to data and data reports, experience in Tableau or Power BI preferred. Demonstrated ability to perform complex data analytics utilizing Microsoft Excel, STATA, Epi Info; and/or software. Demonstrated ability to perform complex data analyses and make recommendations based on findings. Demonstrated working knowledge of the Indian health and social service information systems and M&E processes as it relates to data collection for performance-based reporting. Fluency in interpersonal, writing and oral presentation skills in English. The position will be based in New Delhi, India and work out of the FHI 360 Country office and is open for Indian national candidates only. This job description summarizes the main duties of the job. It neither prescribes nor restricts the exact tasks that may be assigned to carry out these duties. This document should not be construed in any way to represent a contract of employment. Management reserves the right to review and revise this document at any time. Suitably qualified candidates openly living with HIV are also actively encouraged to apply. Compensation: Compensation levels at FHI 360 are equivalent to market rates within the development sector. However, offers shall be based on salary history, relevant experience, and qualifications. Please send your resumes to hrindia@fhi360.org. It is necessary to mention the post title in the subject line while applying. Only short-listed candidates will be notified. No calls/ emails will be entertained. This job posting summarizes the main duties of the job. It neither prescribes nor restricts the exact tasks that may be assigned to carry out these duties. This document should not be construed in any way to represent a contract of employment. Management reserves the right to review and revise this document at any time. FHI 360 is an equal opportunity and affirmative action employer whereby we do not engage in practices that discriminate against any person employed or seeking employment based on race, color, religion, sex, sexual orientation, gender identity, national or ethnic origin, age, marital status, physical or mental disability, protected Veteran status, or any other characteristic protected under applicable law. Our values and commitments to safeguarding: FHI 360 is committed to preventing any type of abuse, exploitation and harassment in our work environments and programs, including sexual abuse, exploitation and harassment. FHI 360 takes steps to safeguard the welfare of everyone who engages with our organization and programs and requires that all personnel, including staff members and volunteers, share this commitment and sign our code of conduct. All offers of employment will be subject to appropriate screening checks, including reference, criminal record and terrorism finance checks. FHI 360 also participates in the Inter-Agency Misconduct Disclosure Scheme (MDS), facilitated by the Steering Committee for Humanitarian Response. In line with the MDS, we will request information from job applicants’ previous employers about any substantiated findings of sexual abuse, exploitation and/or harassment during the applicant’s tenure with previous employers. By applying, job applicants confirm their understanding of these recruitment procedures and consent to these screening checks. FHI 360 will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws. FHI 360 will never ask you for your career site username or password, and we will never request money, goods or services during the application, recruitment or employment process. If you have questions or concerns about correspondence from us, please email CareerCenterSupport@fhi360.org. FHI 360 fosters the strength and health of its workforce through a competitive benefits package, professional development and policies and programs that support a healthy work/life balance. Join our global workforce to make a positive difference for others — and yourself. Please click here to continue searching FHI 360's Career Portal. Show more Show less

Requisition Id : 1617984 The opportunity Due to continuing expansion we have new opportunities for ambitious individuals to join our Tax Team. You will receive extensive training and support from a variety of leading tax professionals to assist you in building a successful career within EY. Your key responsibilities Maintain continuous interaction with clients, manage expectations and ensure outstanding client service. Team with tax professionals to provide comprehensive tax solutions. Representing the firm for assessments and tribunal appeals at the CIT/ITAT level. Experience in domestic and/or international tax and transfer pricing. Experience in litigation, tax compliance and advisory. Experience in corporate laws, SEBI/FEMA regulation etc. Research complex tax theory and positions, and apply them to specific client needs. Provide comprehensive knowledge and reviews of tax case laws and develop opinion papers. Determine all information required to ensure/complete accurate tax compliance products within the budget. Formulate a plan to gather/communicate information. Determine areas of exposure and adapt to challenges in the compliance process. Provide timely and high-quality services and work products that exceed client expectations Skills and attributes for success Excellent managerial, organizational, analytical and verbal/written communication skills Ability to thrive in a fast-paced, professional services environment To qualify for the role you must have An undergraduate degree, preferably with an emphasis in economics, finance or statistics; Minimum 1-3 years of experience A certified CA/CS/LLB with at 0 - 1 years of post-qualification experience in direct corporate tax Ideally you’ll also have Comfortable interacting with senior executives (within the firm and at the client) Be highly flexible, adaptable, and creative. What we look for People with the ability to work in a collaborative way to provide services across multiple client departments while adhering to commercial and legal requirements. You will need a practical approach to solving issues and complex problems with the ability to deliver insightful and practical solutions. What working at EY offers EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career without sacrificing your personal priorities. While our client-facing professionals can be required to travel regularly, and at times be based at client sites, our flexible working arrangements can help you to achieve a lifestyle balance. About EY As a global leader in assurance, tax, transaction and advisory services, we’re using the finance products, expertise and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we’ll make our ambition to be the best employer by 2020 a reality. Show more Show less

Company Overview Team Geek Solutions is a forward-thinking organization dedicated to delivering innovative data-driven solutions. Our mission is to empower businesses with actionable insights through advanced analytics and visualization tools. We value collaboration, integrity, and continuous improvement, fostering a culture where knowledge and skills are shared, promoting professional growth and camaraderie among our team members. Role Responsibilities Develop and maintain analytical dashboards using Tableau. Utilize Alteryx to automate data workflows and improve efficiency. Conduct data quality assessments to ensure accuracy and reliability. Transform raw data into actionable insights for different stakeholders. Collaborate with cross-functional teams to gather data requirements. Perform statistical analysis and predictive modeling to support decision-making. Present data findings in a clear and compelling manner to stakeholders. Create and manage datasets for analytics projects including data preparation, cleaning, and manipulation. Monitor dashboard performance and optimize visualization for user experience. Provide training and support on data tools and best practices. Stay updated on the latest industry trends and tools in data analytics. Document analytical processes and methodologies for future reference. Assist in developing and implementing data governance frameworks. Collaborate with IT to ensure data security and integrity. Support ad-hoc data analysis requests from management. Qualifications Bachelor’s degree in Data Science, Statistics, Mathematics, or a related field. Proven experience in data analytics with Alteryx and Tableau. Strong proficiency in SQL for data retrieval and manipulation. Excellent understanding of data visualization principles. Experience in statistical analysis and reporting. Ability to work both independently and as part of a team. Proficient in Excel for advanced data functions. Strong analytical and problem-solving skills. Excellent verbal and written communication skills. Detail-oriented with a commitment to quality work. Ability to manage multiple projects and deadlines. Experience with data governance and management practices. Comfortable with tools like R or Python is a plus. Skills in project management methodologies are an advantage. Willingness to learn and adapt to new technologies. Minimum 2 years of relevant professional experience. Skills: tableau,statistical analysis,visualization,data visualization,data manipulation,sql,project management,python,excel,communication skills,alteryx,data analysis,r Show more Show less

Company Overview Team Geek Solutions is a forward-thinking organization dedicated to delivering innovative data-driven solutions. Our mission is to empower businesses with actionable insights through advanced analytics and visualization tools. We value collaboration, integrity, and continuous improvement, fostering a culture where knowledge and skills are shared, promoting professional growth and camaraderie among our team members. Role Responsibilities Develop and maintain analytical dashboards using Tableau. Utilize Alteryx to automate data workflows and improve efficiency. Conduct data quality assessments to ensure accuracy and reliability. Transform raw data into actionable insights for different stakeholders. Collaborate with cross-functional teams to gather data requirements. Perform statistical analysis and predictive modeling to support decision-making. Present data findings in a clear and compelling manner to stakeholders. Create and manage datasets for analytics projects including data preparation, cleaning, and manipulation. Monitor dashboard performance and optimize visualization for user experience. Provide training and support on data tools and best practices. Stay updated on the latest industry trends and tools in data analytics. Document analytical processes and methodologies for future reference. Assist in developing and implementing data governance frameworks. Collaborate with IT to ensure data security and integrity. Support ad-hoc data analysis requests from management. Qualifications Bachelor’s degree in Data Science, Statistics, Mathematics, or a related field. Proven experience in data analytics with Alteryx and Tableau. Strong proficiency in SQL for data retrieval and manipulation. Excellent understanding of data visualization principles. Experience in statistical analysis and reporting. Ability to work both independently and as part of a team. Proficient in Excel for advanced data functions. Strong analytical and problem-solving skills. Excellent verbal and written communication skills. Detail-oriented with a commitment to quality work. Ability to manage multiple projects and deadlines. Experience with data governance and management practices. Comfortable with tools like R or Python is a plus. Skills in project management methodologies are an advantage. Willingness to learn and adapt to new technologies. Minimum 2 years of relevant professional experience. Skills: tableau,statistical analysis,visualization,data visualization,data manipulation,sql,project management,python,excel,communication skills,alteryx,data analysis,r Show more Show less

Greeting from Oxford Healthcare! Direct walk-in interview on at 11 Am to 5 PM. Interview Location: Oxford Corporate Office No: 23, 1st Floor, Bypass, Service Rd, SRR Nagar, Nolambur Phase II, Nolambur, Mogappair, Chennai, Tamil Nadu 600037. Job location: Mogappair & Anna Nagar Note* Kindly bring latest update Resume without fail Contact HR 7092606075 *Role and Responsibility* To provide physiotherapy treatments and rehabilitation protocols Maintaining Inpatient and out patient visits details Write patient inpatient case notes and reports and collect statistics liaising with Doctors and Nurses Continually keep the Physiotherapy Department tidy, cleaning up accidental spills and leakages e.g. vomit, urine, blood To arrange patient transport to and from the Physiotherapy Department Maintaining physiotherapy equipments in functional condition Organizing physiotherapy programs in medical camps and meetings v Diagnose and manage movement dysfunction and enhance physical and functional abilities. Helping patients recover from accident, illness or injury Restore, maintain, and promote optimal physical function , wellness, fitness and optimal quality of life as it relates to movement and health. Prevent the onset, symptoms, and progression of impairments, functional limitations, and disabilities that may result from diseases, disorders, conditions, or injuries. providing education and advice about exercise and movement Educate patients and their carers about how to prevent and/or improve conditions Job Types: Full-time, Permanent, Fresher Pay: ₹15,000.00 - ₹30,000.00 per month Schedule: Evening shift Morning shift Education: Bachelor's (Required) Experience: Physiotherapy: 1 year (Required) Work Location: In person

Job Description 🔹Position: Senior Data Analyst 📍Location: Trivandrum/Kochi / Remote 🕓 Experience: 5+ Years ⌛ Notice Period: Immediate Joiners Only 🛠 Mandatory Skills: SQL, Power BI, Python, Amazon Athena 🔎 Job Purpose We are seeking an experienced and analytical Senior Data Analyst to join our Data & Analytics team. The ideal candidate will have a strong background in data analysis, visualization, and stakeholder communication. You will be responsible for turning data into actionable insights that help shape strategic and operational decisions across the organization. 📍Job Description / Duties & Responsibilities Collaborate with business stakeholders to understand data needs and translate them into analytical requirements. Analyze large datasets to uncover trends, patterns, and actionable insights. Design and build dashboards and reports using Power BI. Perform ad-hoc analysis and develop data-driven narratives to support decision-making. Ensure data accuracy, consistency, and integrity through data validation and quality checks. Build and maintain SQL queries, views, and data models for reporting purposes. Communicate findings clearly through presentations, visualizations, and written summaries. Partner with data engineers and architects to improve data pipelines and architecture. Contribute to the definition of KPIs, metrics, and data governance standards. 📍Job Specification / Skills and Competencies Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related field. 5+ years of experience in a data analyst or business intelligence role. Advanced proficiency in SQL and experience working with relational databases (e.g. SQL Server, Redshift, Snowflake). Hands-on experience in Power BI. Proficiency in Python, Excel and data storytelling. Understanding of data modelling, ETL concepts, and basic data architecture. Strong analytical thinking and problem-solving skills. Excellent communication and stakeholder management skills To adhere to the Information Security Management policies and procedures. 📍Soft Skills Required Must be a good team player with good communication skills Must have good presentation skills Must be a pro-active problem solver and a leader by self Manage & nurture a team of data engineers Show more Show less

Requisition Id : 1617982 The opportunity Due to continuing expansion we have new opportunities for ambitious individuals to join our Tax Team. You will receive extensive training and support from a variety of leading tax professionals to assist you in building a successful career within EY. Your key responsibilities Maintain continuous interaction with clients, manage expectations and ensure outstanding client service. Team with tax professionals to provide comprehensive tax solutions. Representing the firm for assessments and tribunal appeals at the CIT/ITAT level. Experience in domestic and/or international tax and transfer pricing. Experience in litigation, tax compliance and advisory. Experience in corporate laws, SEBI/FEMA regulation etc. Research complex tax theory and positions, and apply them to specific client needs. Provide comprehensive knowledge and reviews of tax case laws and develop opinion papers. Determine all information required to ensure/complete accurate tax compliance products within the budget. Formulate a plan to gather/communicate information. Determine areas of exposure and adapt to challenges in the compliance process. Provide timely and high-quality services and work products that exceed client expectations Skills and attributes for success Excellent managerial, organizational, analytical and verbal/written communication skills Ability to thrive in a fast-paced, professional services environment To qualify for the role you must have An undergraduate degree, preferably with an emphasis in economics, finance or statistics; Minimum 1-3 years of experience A certified CA/CS/LLB with at 0 - 1 years of post-qualification experience in direct corporate tax Ideally you’ll also have Comfortable interacting with senior executives (within the firm and at the client) Be highly flexible, adaptable, and creative. What we look for People with the ability to work in a collaborative way to provide services across multiple client departments while adhering to commercial and legal requirements. You will need a practical approach to solving issues and complex problems with the ability to deliver insightful and practical solutions. What working at EY offers EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career without sacrificing your personal priorities. While our client-facing professionals can be required to travel regularly, and at times be based at client sites, our flexible working arrangements can help you to achieve a lifestyle balance. About EY As a global leader in assurance, tax, transaction and advisory services, we’re using the finance products, expertise and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we’ll make our ambition to be the best employer by 2020 a reality. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Discipline-Strategic Pricing and Insights, Pursuits & Commercial Excellence Role Type-Pricing Support Specialist - Supervising Associate The opportunity The Strategic Pricing & Insights (SPI) group leads our firm's commercial transformation, optimizing our price-to-value ratio for opportunities, architecting differentiated commercial structures, and integrating market and competitor intelligence into our messaging to enhance win odds and expand margins. We are part of the Pursuits & Commercial Excellence team. As a Pricing Support Specialist - Supervising Associate within the Pricing & Contract Management team aligned to the Strategic Pricing and Insights Group based out of GDS, you’ll support all aspects of firm’s commercial transformation through tailored pursuit support, activation of self-enabled tools and development of thought leadership to accelerate a value-focused pricing and commercial culture. Leveraging a robust set of sales, price, solution, and commercial benchmarks and analytics, you’ll work towards actual creation and refinement of pricing models under guidance and consultation of Manager/ Sr. Manager on pursuits that are cross service line rate and project-based pursuits spanning transformational consulting, managed service, co-source, joint venture and alliance business models following consistent pricing and commercial strategies. You will be expected to be involved with creation of multiple iterations and versions of hypothesis to support execution of solution testing and refinement. Beyond tailored pursuit support, you will be expected to embrace a growth mindset, actively seeking to improve your pricing and commercial acumen through learning and development. Your Key Responsibilities As a Pricing Support Specialist, you’ll be responsible for providing support to the Manager/ Sr. Manager from qualification to close across all pricing, financial and commercial aspects of the pursuits. You will support in refining pricing models in line with the differentiated value of solution provided and assist in shaping pursuits by integrating market benchmarks and other available competitive intelligence. Provide the required support in terms of data and intelligence to the Commercial Architect (Sr. Manager/ Associate Director) in the collaboration meetings/ sessions with solution architects and domain experts. You will assist the pursuit leaders in bringing forward researched perspectives about competitor solution, pricing, and commercial positioning to be utilized as part of the win strategy to support a pricing strategy based on perceived differentiation, working across pursuit leaders, senior commercial architects, and stakeholders to achieve target. As part of data quality improvement process, you will be expected to support activities to curate market and competitive intelligence across primary, secondary, and third-party research channels into an integrated ecosystem of sales, price, solution, and commercial benchmarks positioning supported and self-enabled pursuits to price with conviction, confident in our differentiated value, resulting in increased win odds and profitable growth. Help model the forecasted economics based on accounting standards and internal policies /guidelines, ensuring a compelling ROI for EY and our clients. Will assist in the development of commercial constructs and terms that are in the best interest of EY and the client, that incentivize mutually aligned behaviours, and differentiate EY Skills And Attributes For Success Ability to execute performance standards with a high degree of independence and autonomy. Thriving in a matrixed organization is essential, balancing the needs of the client against business initiatives and goals. Ability to design, model, shape and structure business models utilizing input, output and outcome based commercial models Knowledge of a broad spectrum of pricing strategies applicable to professional services including cost, client value, client willingness to pay and competition driven Ability to simplify the complex, establish credibility quickly and build trust-based influence with peers while navigating the availability of limited/ambiguous information. Very strong financial modelling skills To qualify for the role, you must have 3-6+ years of experience in professional services environment preferrable in pricing and commercials function. Master’s degree in relevant field(s) like finance, accounting, statistics, or equivalent practical experience. Exposure to financial modelling, accounting, budgeting, and associated metrics Ideally, you’ll also have Ability to execute performance standards with high degree of quality and independence. Strong communication, facilitation, and presentation skills. High proficiency at collaborating and dealing with ambiguity. Ability to be highly flexible, adaptable, and creative. Expert level proficiency with MS Office applications like Excel, PowerPoint, Word etc. Ability to travel. Technologies and Tools Advance knowledge and hands on experience in Excel PowerPoint Word What We Look For One who can be a self-starter and who actively invests in oneself to develop and learn methods, tools, and capabilities to deliver better results, create exceptional experiences. One who executes with discipline and rigor, improving the consistency and use of leading practices in our approach to winning. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

Company Overview DevBytes is your ultimate go-to app for the latest content from the tech, startup, and dev worlds. With just a tap, you may dive into the freshest trends in AI, ML, cloud, AR/VR, cybersecurity, NLP, data science, DevOps, and everything coding. It is your one-stop platform for tech news on the fly, delivering trending updates daily from industry giants like Google, OpenAI, Apple, Meta, Amazon, X, Netflix, Tesla, Microsoft, SpaceX, and beyond. Stay in the loop on the stories that matter to you. Role and Responsibilities Design, develop, and optimize machine learning algorithms and models. Collaborate with cross-functional teams to integrate AI solutions into existing systems. Analyze large datasets to extract actionable insights and identify patterns. Research and implement state-of-the-art AI techniques and frameworks. Develop APIs or services to deploy models for real-world applications. Monitor and maintain the performance and accuracy of AI models in production. Ensure AI systems adhere to ethical guidelines, fairness, and privacy standards. Qualifications- Completed a Bachelor's/Master's in Computer Science or IT, with 2+ years of development experience. Experience with data preprocessing, feature engineering, and model evaluation. Solid understanding of probability, statistics, and data analysis Hands-on experience with Python. Proven ability to write clean, efficient, and modular code. Deep understanding of machine learning fundamentals. Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes). Show more Show less

Requisition Id : 1617985 The opportunity Due to continuing expansion we have new opportunities for ambitious individuals to join our Tax Team. You will receive extensive training and support from a variety of leading tax professionals to assist you in building a successful career within EY. Your key responsibilities Maintain continuous interaction with clients, manage expectations and ensure outstanding client service. Team with tax professionals to provide comprehensive tax solutions. Representing the firm for assessments and tribunal appeals at the CIT/ITAT level. Experience in domestic and/or international tax and transfer pricing. Experience in litigation, tax compliance and advisory. Experience in corporate laws, SEBI/FEMA regulation etc. Research complex tax theory and positions, and apply them to specific client needs. Provide comprehensive knowledge and reviews of tax case laws and develop opinion papers. Determine all information required to ensure/complete accurate tax compliance products within the budget. Formulate a plan to gather/communicate information. Determine areas of exposure and adapt to challenges in the compliance process. Provide timely and high-quality services and work products that exceed client expectations Skills and attributes for success Excellent managerial, organizational, analytical and verbal/written communication skills Ability to thrive in a fast-paced, professional services environment To qualify for the role you must have An undergraduate degree, preferably with an emphasis in economics, finance or statistics; Minimum 1-3 years of experience A certified CA/CS/LLB with at 0 - 1 years of post-qualification experience in direct corporate tax Ideally you’ll also have Comfortable interacting with senior executives (within the firm and at the client) Be highly flexible, adaptable, and creative. What we look for People with the ability to work in a collaborative way to provide services across multiple client departments while adhering to commercial and legal requirements. You will need a practical approach to solving issues and complex problems with the ability to deliver insightful and practical solutions. What working at EY offers EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career without sacrificing your personal priorities. While our client-facing professionals can be required to travel regularly, and at times be based at client sites, our flexible working arrangements can help you to achieve a lifestyle balance. About EY As a global leader in assurance, tax, transaction and advisory services, we’re using the finance products, expertise and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we’ll make our ambition to be the best employer by 2020 a reality. Show more Show less