163 Hypothesis Testing Jobs - Page 2

Key Skills: Statistics, SQL, Python, A/B Testing, Hypothesis Testing, Regression, Product Analytics, Data Visualization (UDP, Power BI), Stakeholder Management, Business Metrics, Data Automation, Dashboarding, Data Storytelling, Data Governance. Roles & Responsibilities: Manage large datasets, lead quantitative analyses, and deliver strategic insights. Build and deploy statistical models, including hypothesis testing, A/B testing, product experimentation, and regressions. Optimize e-commerce funnels, retention strategies, and key performance metrics. Define, evaluate, and refine business and product metrics to guide optimization and innovation. Design and deliver executive-level dashboards and reporting solutions using tools like UDP and Power BI. Collaborate with cross-functional teams, managing stakeholder expectations and aligning teams with business goals. Apply advanced analytics techniques and adopt innovative problem-solving approaches in dynamic environments. Drive automation of data pipelines and processes to improve scalability and efficiency. Interpret complex data sets and present findings to both technical and non-technical stakeholders in a clear and actionable manner. Mentor junior analysts, promoting best practices in data analysis and storytelling. Contribute to the development of data governance standards and ensure data quality across projects. Experience Required: 5-7 years of hands-on experience in advanced analytics, statistical modeling, and data-driven decision making. Proven experience in building scalable data workflows and automation solutions. Strong track record of influencing product and business strategy through deep analytical insights. Experience working closely with product, marketing, and engineering teams to define KPIs and measure success. Education: B.E., B.Tech.

About iion iion is the leading global game advertising platform, reaching brands ideal customers across all gaming environments. We are ambitious trailblazers, aiming to be an indispensable element in brands media strategy. We are a growing team of 60+ people, working primarily remote, headquartered in Australia and consisting of teams working across APAC and Europe. About the Role We re seeking a talented and enthusiastic AI Engineer to join our growing team at iion.io. You ll play a key role in designing and deploying agentic AI systems that power the full lifecycle of media planning, campaign optimization, and performance monitoring. This includes building task-specific agents for autonomous budget allocation, KPI tracking, real-time reporting, and insight generation using Agentic RAG and LLM-integrated conversational interfaces. If you thrive at the intersection of backend engineering and applied AI - and want to shape how automation drives smarter media outcomes - this role is for you. Role Responsibilities: Design, build, and deploy scalable RESTful/async backend services using FastAPI and Python Architect and implement intelligent agent workflows (ReAct) using frameworks like LangChain, LangGraph, Crew AI, and LlamaIndex Create advanced conversational analytics and reporting interfaces integrated with large language models (LLMs) Deploy efficient retrieval-augmented generation (RAG) systems for actionable insights and automation Develop autonomous agents for media planning, campaign execution, performance monitoring, and continuous optimization Collaborate with product and analytics teams to define metrics, performance dashboards, and real-time analytics insights Implement and monitor ML pipelines to support campaign optimization Design, conduct, and interpret A/B tests with clear methodologies and statistical rigor Develop and implement predictive models to support decision-making processes and forecasting Role Requirements: 2 - 4 years backend Python (FastAPI/Flask) or data engineering experience 1.5 - 2 years building and deploying agentic AI solutions (ReAct agents, RAG applications) Proficiency in async programming (asyncio), AWS, and CI/CD tools Hands-on experience building agentic AI systems using frameworks like LangChain, LangGraph, Crew AI, or LlamaIndex, with practical integration of LLMs (e.g., GPT, Claude) and vector databases such as Chroma or Pinecone Solid understanding of A/B testing, hypothesis testing, and predictive modeling Proactive attitude, strategic mindset, and ability to adapt quickly in a dynamic environment Ambitious with strong values of collaboration, agility, and willingness to challenge the status quo Bachelor s/ Masters degree in Computer Science, Data Science, AI/ML, or related fields, or equivalent practical experience *This is a remote job opportunity and you can be based anywhere in India.

Senior Data Scientist Req number: R5797 Employment type: Full time Worksite flexibility: Hybrid Who we are CAI is a global technology services firm with over 8,500 associates worldwide and a yearly revenue of $1 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right—whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise. Job Summary We’re searching for an experienced Senior Data Scientist who excels at statistical analysis, feature engineering, and end to end machine learning operations. Your primary mission will be to build and productionize demand forecasting models across thousands of SKUs, while owning the full model lifecycle—from data discovery through automated re training and performance monitoring. This is a Full-time and Hybrid position. Job Description What You’ll Do Advanced ML Algorithms: Design, train, and evaluate supervised & unsupervised models (regression, classification, clustering, uplift). Apply automated hyperparameter optimization (Optuna, HyperOpt) and interpretability techniques (SHAP, LIME). Data Analysis & Feature Engineering: • Perform deep exploratory data analysis (EDA) to uncover patterns & anomalies. Engineer predictive features from structured, semistructured, and unstructured data; manage feature stores (Feast). Ensure data quality through rigorous validation and automated checks. TimeSeries Forecasting (Demand): • Build hierarchical, intermittent, and multiseasonal forecasts for thousands of SKUs. Implement traditional (ARIMA, ETS, Prophet) and deeplearning (RNN/LSTM, TemporalFusion Transformer) approaches. Reconcile forecasts across product/category hierarchies; quantify accuracy (MAPE, WAPE) and bias. MLOps & Model Lifecycle: • Establish model tracking & registry (MLflow, SageMaker Model Registry). Develop CI/CD pipelines for automated retraining, validation, and deployment (Airflow, Kubeflow, GitHub Actions). Monitor data & concept drift; trigger retuning or rollback as needed. Statistical Analysis & Experimentation: • Design and analyze A/B tests, causal inference studies, and Bayesian experiments. Provide statisticallygrounded insights and recommendations to stakeholders. Collaboration & Leadership: Translate business objectives into datadriven solutions; present findings to exec & nontech audiences. Mentor junior data scientists, review code/notebooks, and champion best practices. What You'll Need M.S. in Statistics (preferred) or related field such as Applied Mathematics, Computer Science, Data Science. 5+ years building and deploying ML models in production. Expertlevel proficiency in Python (Pandas, NumPy, SciPy, scikitlearn), SQL, and Git. Demonstrated success delivering largescale demandforecasting or timeseries solutions. Handson experience with MLOps tools (MLflow, Kubeflow, SageMaker, Airflow) for model tracking and automated retraining. Solid grounding in statistical inference, hypothesis testing, and experimental design. Experience in supplychain, retail, or manufacturing domains with highgranularity SKU data. Familiarity with distributed data frameworks (Spark, Dask) and cloud data warehouses (Big Query, Snowflake). Knowledge of deeplearning libraries (PyTorch, TensorFlow) and probabilistic programming (PyMC, Stan). Strong datavisualization skills (Plotly, Dash, Tableau) for storytelling and insight communication. Physical Demands This role involves mostly sedentary work, with occasional movement around the office to attend meetings, etc. Ability to perform repetitive tasks on a computer, using a mouse, keyboard, and monitor. Reasonable accommodation statement If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to application.accommodations@cai.io or (888) 824 – 8111.

At PwC, the focus in data and analytics is on leveraging data to drive insights and make informed business decisions. Advanced analytics techniques are utilized to help clients optimize their operations and achieve strategic goals. In data analysis at PwC, the emphasis is on utilizing advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. Skills in data manipulation, visualization, and statistical modeling are leveraged to support clients in solving complex business problems. PwC US - Acceleration Center is currently looking for a highly skilled and experienced GenAI Data Scientist to join the team at the Senior Associate level. As a GenAI Data Scientist, the critical role involves developing and implementing machine learning models and algorithms for GenAI projects. The ideal candidate should have a strong background in data science, with a focus on GenAI technologies, and possess a solid understanding of statistical analysis, machine learning, data visualization, and application programming. Candidates with 4+ years of hands-on experience are preferred for this position. Responsibilities: - Collaborate with cross-functional teams to understand business requirements and identify opportunities for applying GenAI technologies. - Develop and implement machine learning models and algorithms for GenAI projects. - Perform data cleaning, preprocessing, and feature engineering to prepare data for analysis. - Collaborate with data engineers to ensure efficient data processing and integration into machine learning pipelines. - Validate and evaluate model performance using appropriate metrics and techniques. - Develop and deploy production-ready machine learning applications and solutions. - Utilize object-oriented programming skills to build robust and scalable software components. - Utilize Kubernetes for container orchestration and deployment. - Design and build chatbots using GenAI technologies. - Communicate findings and insights to stakeholders through data visualizations, reports, and presentations. - Stay up-to-date with the latest advancements in GenAI technologies and recommend innovative solutions to enhance data science processes. Requirements: - 3-5 years of relevant technical/technology experience, with a focus on GenAI projects. - Strong programming skills in languages such as Python, R, or Scala. - Proficiency in machine learning libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn. - Experience with data preprocessing, feature engineering, and data wrangling techniques. - Solid understanding of statistical analysis, hypothesis testing, and experimental design. - Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud. - Knowledge of data visualization tools and techniques. - Strong problem-solving and analytical skills. - Excellent communication and collaboration abilities. - Ability to work in a fast-paced and dynamic environment. Preferred Qualifications: - Experience with object-oriented programming languages such as Java, C++, or C#. - Experience with developing and deploying machine learning applications in production environments. - Understanding of data privacy and compliance regulations. - Relevant certifications in data science or GenAI technologies. Nice To Have Skills: - Experience with Azure AI Search, Azure Doc Intelligence, Azure OpenAI, AWS Textract, AWS Open Search, AWS Bedrock. - Familiarity with LLM backed agent frameworks such as Autogen, Langchain, Semantic Kernel, etc. - Experience in chatbot design and development. Professional And Educational Background: Any graduate /BE / B.Tech / MCA / M.Sc / M.E / M.Tech /Masters Degree /MBA,

Data scientists at Thoughtworks are responsible for leading and executing data science projects. They employ their profound expertise in statistics, modeling, machine learning algorithms and data mining methodologies. They integrate this expertise with a comprehensive understanding of related domains to render business value and illuminate data-driven insights, facilitating clear and effective decision-making processes. Their responsibilities encompass devising strategies, executing plans, operationalizing solutions and articulating the tangible business outcomes achieved. Collaborating with cross-functional teams is pivotal, as they adeptly convey their discoveries to both technical and non-technical stakeholders. They stay up-to-date with industry advancements, ensure data quality and security, and provide guidance to junior team members. As a data scientist at Thoughtworks, you'll work on a range of projects and leverage deep technical knowledge to solve complex business problems. Job responsibilities You will lead and manage data science projects from inception to completion, including goal-setting, scope definition and ensuring on-time delivery with cross team collaboration You will collaborate with stakeholders to understand their strategic objectives and identify opportunities to leverage data and data quality for enabling AI and machine learning You will be responsible for the overall AI system design, problem framing and governance, identifying and managing risks and issues You will design, develop and implement data science strategies that drive measurable business results You will design experiments for the team to rapidly test ideas and assumptions, and identify future courses of action You will use quality metrics to select machine learning models that will be deployed in the production environment You will communicate technical findings and insights to stakeholders in a clear, easy and concise way, keeping the stakeholders in mind You will contribute to the growth of the data science community along with promoting a culture of data literacy within the organization You will address ethical concerns and adhere to ethical guidelines using FATTER AI (fairness, accountability, transparency, trustworthiness, explainability, responsibility) You will work with CD4ML practices and data versioning tools Job qualifications Technical Skills You have experience in leading the analysis and modeling of different datasets and overseeing an inception to deploying and productionizing the models You have experience with statistical modeling, hypothesis testing, machine learning, deep learning, optimization and other data science techniques to implement end-to-end data science projects You understand the specialized areas of AI and possess a speciality with at least one of them (i.e.: NLP/computer vision/Generative AI, etc)tc) You have experience with R, Python or equivalent statistical/data analysis tools and can write production-ready code that is easy to evolve and test You gather and preprocess large volumes of structured and unstructured data from various sources, ensuring data quality and integrity You analyze datasets using statistical and visualization techniques to identify patterns, trends and relationships You develop and implement machine learning models, algorithms and predictive analytics to solve specific business problems or improve existing processes You evaluate model performance using appropriate metrics and validate models to ensure robustness and reliability You interpret and effectively communicate findings and insights to non-technical stakeholders through reports, presentations and visualizations You ensure compliance with data privacy regulations and ethical standards when handling sensitive information Professional Skills You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives You dont shy away from risks or conflicts, instead you take them on and skillfully manage them You are eager to coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work You enjoy influencing others and always advocate for technical excellence while being open to change when needed You are a proven leader with a track record of encouraging teammates in their professional development and relationships Cultivating strong partnerships comes naturally to you; You understand the importance of relationship building and how it can bring new opportunities to our business

We are seeking a talented and motivated Data Science/AI Engineer with 1-2 years of experience to join our innovative team. As a Data Science/AI Engineer with us, you will be responsible for developing, implementing, and optimizing machine learning models and algorithms to drive our data-driven decision-making processes and enhance our product offerings., Responsibilities: Develop and deploy machine learning models and algorithms to solve business problems. Analyze large, complex datasets to extract insights and identify patterns. Collaborate with cross-functional teams to define data requirements and deliver solutions. Build and maintain data pipelines and infrastructure for efficient data processing. Conduct exploratory data analysis and data visualization to communicate findings. Stay up-to-date with the latest advancements in data science, machine learning, and AI technologies. Ensure the performance, scalability, and reliability of machine learning solutions., Requirements: 1-2 years of experience in data science, machine learning, or AI engineering. Strong programming skills in Python or R. Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. Proficiency in data manipulation and analysis using libraries such as Pandas and NumPy. Familiarity with data visualization tools like Matplotlib, Seaborn, or Plotly. Understanding of statistical analysis and hypothesis testing. Experience with SQL and NoSQL databases. Ability to write clean, well-documented, and maintainable code., Preferred Qualifications: Experience with cloud platforms such as AWS, Google Cloud, or Azure. Knowledge of natural language processing (NLP) techniques and tools. Familiarity with big data technologies like Hadoop or Spark. Understanding of deep learning architectures and techniques. Experience with version control systems (e.g., Git). Familiarity with Agile development methodologies., Soft Skills: Strong problem-solving skills and attention to detail. Excellent communication and teamwork skills. Ability to work in a fast-paced, deadline-driven environment. . Please include Data Science/AI Engineer Application in the subject line.

Responsibilities Date posted 07/21/2025 End Date 08/04/2025 City Bengaluru State/Region Karnataka Country India Location Type Onsite Calling all innovators find your future at Fiserv. Job Title Advisor, Statistical Analysis Job Posting Title: Tech Lead, Statistical Analysis What does a successful Tech Lead, Statistical Analysis do at Fiserv Fiserv is looking for a talented analytical advisor who plays a crucial role in helping clients make informed decisions based on data-driven insights. Fiserv offers a range of solutions for financial institutions, businesses, and merchants, analytics advisors contribute to the success of these solutions by providing expert guidance on utilizing data effectively. Using product knowledge, subject matter expertise and technical skills, he will provide the highest level of service to resolve the client/customers issues. What you will do: Create comprehensive strategies to proactively identify and mitigate potential challenges and opportunities. Collaborate with cross-functional teams to ensure alignment with company objectives. Oversee and analyze large datasets to identify patterns, trends, and anomalies. Utilize statistical modeling, machine learning algorithms, and data visualization tools to gain actionable insights and drive data-driven decision-making. Evaluate and optimize systems and technologies. Implement improvements to enhance the accuracy and efficiency of data analysis. Develop and maintain regular reports on key metrics, trends, and insights. Present findings to stakeholders, recommending appropriate actions based on analysis. Stay abreast of the latest trends, tools, and technologies in your field. Identify opportunities to enhance existing processes and methodologies, driving continuous improvement within the team. Ensure Compliance and Best Practices: Ensure that all activities align with industry regulations and company policies. Collaborate with relevant teams to address any potential issues. What you will need to have: Bachelor s or master s degree in a relevant field such as Data Science, Statistics, Computer Science, or a related discipline. Proven experience (typically 8-10 years) in analytics. Strong analytical skills with expertise in data manipulation, statistical analysis, and machine learning techniques. Proficiency in programming languages such as Python, R, or SQL. Experience with data visualization tools (e.g., Tableau, Power BI) for presenting insights to stakeholders. Excellent leadership and communication skills, with the ability to inspire and motivate a team. What would be great to have: Proficiency in programming languages such as Python, R, or SAS, and experience with relevant libraries and frameworks (e.g., TensorFlow, Py-Torch, scikit-learn). Solid understanding of hypothesis testing, and validation methodologies. Experience with data manipulation, feature engineering, and data preprocessing techniques. Excellent communication skills, with the ability to convey technical concepts to non-technical stakeholders effectively. Experience with data visualization tools and techniques to present validation results in a clear and meaningful way. Thank you for considering employment with Fiserv. Please: Apply using your legal name Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable). Our commitment to Diversity and Inclusion: Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law. Note to agencies: Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions. Warning about fake job posts: Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address. Share this Job Email LinkedIn X Facebook

At American Express, the culture is built on a 175-year history of innovation, shared values, and Leadership Behaviors, with an unwavering commitment to support customers, communities, and colleagues. As a part of Team Amex, you will experience comprehensive support for your holistic well-being and numerous opportunities to learn new skills, develop as a leader, and advance your career. Your voice and ideas will be valued, your work will have an impact, and together, we will shape the future of American Express. The AIM (Analytics, Investment & Marketing Enablement) team, a part of GCS Marketing, serves as the analytical engine that drives the Global Commercial business portfolio of American Express. The team's primary objectives include accelerating growth momentum, increasing profitability, and enhancing the value proposition. By providing actionable insights to drive business strategy and growth, the team enables GCS Marketing to achieve its goals. As an Analyst (Band 30) in Gurgaon, India, your role will focus on driving sentinel measurement Analytics across channels and product offerings at Amex. Your key responsibilities will include supporting business partners with campaign measurements, ROI analysis, and actionable data-driven insights for acquisition & engagement treatments in GCS. You will develop analytical solutions by gathering requirements, performing data analysis, and delivering timely reporting for marketing & sales leadership. Additionally, you will collaborate with stakeholders, assess business needs, ensure data integrity, and provide actionable recommendations in times of change. Minimum Qualifications: - Degree in a quantitative field preferred (e.g., B.Tech, BSc/MSc Statistics, Economics) - Knowledge of Hive, Python, PySpark, SQL for data manipulation and statistical modeling - Strong analytical aptitude, technical skills, and project management abilities - Excellent communication skills to present results & methodologies clearly - Ability to work in high-pressure situations with minimal errors and a growth mindset - Strong problem-solving skills, ability to work independently, and challenge the status quo - Comfortable with flexible shift timings to support Global Partners Preferred Qualifications: - 1-2 years of relevant experience with skills in Python, SQL, and Advanced Excel - Knowledge of statistical techniques like hypothesis testing, regression, KNN, t-test, chi-square test - Experience in campaign measurement/marketing analytics is a plus American Express provides benefits to support your holistic well-being, including competitive base salaries, bonus incentives, financial well-being support, comprehensive medical benefits, flexible working arrangements, parental leave policies, access to wellness centers, counseling support, and career development opportunities. Employment with American Express is subject to the successful completion of a background verification check.,

Role Description : As a Technical Lead - Data Analysis at Incedo, you will be responsible for analyzing and interpreting large and complex datasets to extract insights and identify patterns. You will work with data analysts and data scientists to understand business requirements and provide data-driven solutions. You will be skilled in data analysis tools such as Excel or Tableau and have experience in programming languages such as Python or R. You will be responsible for ensuring that data analysis is accurate, efficient, and scalable. Roles & Responsibilities: Analyzing and interpreting complex data sets using statistical and data analysis tools Developing and implementing data-driven insights and solutions Creating and presenting reports and dashboards to stakeholders Collaborating with other teams to ensure the consistency and integrity of data Providing guidance and mentorship to junior data analysts. Technical Skills Skills Requirements: Proficiency in data wrangling and data cleaning techniques using tools such as Python, R, or SQL. Knowledge of statistical analysis techniques such as hypothesis testing, regression analysis, or time-series analysis. Familiarity with data visualization and reporting tools such as Tableau, Power BI, or Looker. Understanding of data exploration and discovery techniques such as clustering, anomaly detection, or text analytics. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Should be open to new ideas and be willing to learn and develop new skills. Should also be able to work well under pressure and manage multiple tasks and priorities. Qualifications 7-9 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

The Business Excellence Manager is responsible for driving continuous improvement initiatives, optimizing processes, and fostering a culture of operational excellence across the organization. The ideal candidate will have strong analytical and project management skills, and the ability to influence cross-functional teams to achieve strategic goals. Primary Job Responsibilities: Facilitate process improvement and assist business owners in improving existing process performance through analysis, experience and employee input in a project environment. Build and deliver Operational/Delivery Excellence training and coach on Enterprise Operations principles. Assist organization in the creation, monitoring, measurement and analysis of standardized processes. Support the development and implementation of a formal management review of Key Performance/Operating results, and train and coach all functional areas on measurement principles. Provide support/input to weekly and/or monthly Key Performance Indicator (KPI) reports and review meetings. Facilitate and/or participate in cross functional Process Improvement Initiatives and root cause analysis. Implement strategic quality direction into operational guidelines and practices and support ongoing expansion of the quality culture across the organization. Provide support to develop support assets, e.g., tracking tool for operational excellence success stories, tracking of root cause/lessons learned from actual delivery experiences, etc. Communicate to key management stakeholders on salient quality issues and business opportunities. Lean Methodologies: Value Stream Mapping, Continuous Improvement. Agile Expertise: Scrum, Kanban, Agile transformation leadership. Responsible for driving Operational Excellence which includes Process Improvement, Process Design, Reengineering, Change Management, Project Management, Organizational Structuring and project management, Operational Audits. Analyze and bridge the gaps between existing and new processes; created process models, flow charts, data flow diagrams, business interaction flows and Use Cases. Working with operational teams to establish standards procedures and systems. Data Analysis: Perform advanced statistical analysis to identify root causes of process issues and measure improvements. Should have good understanding of tools such as regression analysis, hypothesis testing, control charts etc. Continuous Improvement: Promote a culture of continuous improvement by encouraging and facilitating the identification of process improvement opportunities across the organization. Compliance and Quality: Ensure that all process improvements comply with industry standards, regulations, and internal quality requirements. Stakeholder Management: Collaborate with onshore and offshore teams to ensure alignment with client goals. Work with stakeholders across functions to review, track progress of solutions/initiatives by setting up meetings as needed, following up through emails. Additionally, engage with end customers to ensure their requirements are addressed and they are appraised of the status of the solutions/initiatives thereby ensuring zero escalation. Education, Work Experience, & Knowledge: 12+ years of experience in similar industry. Advanced proficiency in Excel and PowerPoint, including the ability to build and automate macros. Experience with PowerBI or Tableau for data visualization and reporting. Specific experience with JIRA is a plus. Experience effectively visualizing operationally-focused data to tell a story. Strong verbal and written communication skills.

The Citi Analytics & Information Management (AIM) team, a global community, objectively connects and analyzes information to create actionable intelligence for business leaders. In partnership with the businesses, the team identifies fact-based opportunities for revenue growth and expense reduction. As a C12 (Individual Contributor) AVP within the Retail Bank Fraud Analytics team in Citi AIM, your primary focus will be to analyze transaction data, understand fraud patterns, and develop fraud loss mitigation strategies to minimize fraud losses and customer impact. You will be responsible for monitoring strategy performance, collaborating with the strategy implementation team, and proactively leveraging new data sources and advanced analytics techniques for fraud loss mitigation. Your role entails hands-on analysis on a regular and ad hoc basis, extracting various data sources, generating fraud risk insights, recommending business solutions, and monitoring strategy performance. It is essential to have a holistic view of different retail banking products, integrate analytical thinking with business knowledge, and utilize data analysis tools and methodologies to develop client-centric solutions. Proficiency in basic statistics, hypothesis testing, segmentation, and predictive modeling is required, along with expertise in decision tree (CHAID/CART), Logistic Regression, exploratory data analysis, SAS, SQL, Hive, Impala, and Excel. Knowledge of Python is desirable, and prior experience in Fraud Analytics is preferable. Familiarity with Tableau or any other data visualization tool is also advantageous. Experience in stakeholder management across functions and regions is necessary to translate data into consumer or customer behavioral insights, drive targeting and segmentation strategies, and effectively communicate with business partners and senior leaders. Strong presentation skills are essential for delivering clear presentations to share thoughts, solutions, or problems with stakeholders and senior management. Project management skills are required to create project plans, assign responsibilities, complete projects in a timely manner, and manage and report control issues transparently. You will be expected to support regulatory/audit activities and other risk and control activities as needed. Qualifications: - 8+ years of analytics experience, preferably in Fraud analytics - Advanced analytical and business strategy skills - Effective communication skills - Ability to present to business partners and leaders - Project and process management skills - Excellent written and verbal communication skills - Experience in financial services analytics - Strong organizational skills and ability to manage multiple projects simultaneously - Self-starter with the ability to work successfully in a team environment Education: - Bachelors/University degree or equivalent experience (Masters degree preferred),

As a Data Scientist at WAC, you will play a crucial role in transforming intricate data into actionable insights that drive business strategies and foster innovation. Your primary responsibility will involve collaborating with diverse teams to create and implement data science solutions that align with our business objectives. Your tasks will include data exploration, where you will gather, cleanse, and preprocess data from a variety of sources to ensure its quality and reliability. Leveraging advanced statistical and machine learning techniques, you will conduct in-depth analyses to derive meaningful insights. Additionally, you will be responsible for developing, refining, and optimizing predictive models that tackle specific business challenges and opportunities. Creating visually engaging reports and dashboards to present findings to technical and non-technical stakeholders will be a key aspect of your role. You will also be involved in formulating and testing hypotheses, as well as designing and executing A/B tests to evaluate the impact of changes and enhancements. Your ability to communicate complex technical findings in a clear and understandable manner will be vital in supporting decision-makers. Collaboration will be integral to your work, as you will liaise with teams across the organization to grasp business goals and provide data-driven insights and recommendations. Continuous learning is encouraged, and staying abreast of the latest trends in data science, machine learning, and analytics will enable you to apply cutting-edge techniques and tools effectively. To qualify for this role, you should hold a Master's or Ph.D. degree in a relevant field such as Data Science, Statistics, Computer Science, or related disciplines. With a minimum of 4 years of experience in a Data Scientist or similar position, you must demonstrate proficiency in data analysis tools and languages like Python or R. A strong grasp of machine learning techniques and libraries, coupled with familiarity with data visualization tools such as Tableau or Power BI, is essential. Your problem-solving abilities, critical thinking skills, and aptitude for effective communication, especially in simplifying complex technical concepts for non-technical stakeholders, will be crucial. An understanding of data ethics and the responsible use of data is also expected from potential candidates. Thank you for your interest in joining Webandcrafts. We eagerly anticipate delving deeper into your application to assess your suitability for this role.,

Job Description: Dreaming big is in our DNA. It's who we are as a company, our culture, our heritage, and more than ever, our future. A future where we're always looking forward, serving up new ways to meet life's moments, and where we keep dreaming bigger. We look for individuals with passion, talent, and curiosity and provide them with teammates, resources, and opportunities to unleash their full potential. The power we create together, when we combine your strengths with ours, is unstoppable. Are you ready to join a team that dreams as big as you do AB InBev GCC, incorporated in 2014 as a strategic partner for Anheuser-Busch InBev, leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do you dream big We need you. Job Title: Senior Data Scientist Location: Bangalore Reporting to: Senior Manager Purpose of Role: - Understand and solve complex business problems with sound analytical prowess to provide impactful insights in decision-making. - Ensure any implementation roadblocks are communicated to the Analytics Manager to prevent project timeline delays. - Document every aspect of the project in a standard way for future reference. - Articulate technical complexities to senior leadership in a simple and easy-to-understand manner. Key Tasks and Accountabilities: - Understand business problems and collaborate with stakeholders to translate them into data-driven analytical/statistical problems during the solution-building process. - Create appropriate datasets and develop statistical data models. - Translate complex statistical analyses over large datasets into insights and actionable steps. - Analyze results and present findings to stakeholders. - Communicate insights using business-friendly presentations. - Mentor other Data Scientists/Associate Data Scientists. - Build a project pipeline in Databricks that is production-ready. - Develop dashboards (preferably in Power BI) for easy consumption of solutions. Qualifications, Experience, Skills: - Level of Educational Attainment Required: Bachelor's/Master's Degree in Statistics, Applied Statistics, Economics, Econometrics, Operations Research, or any other quantitative discipline. - Previous Work Experience: Minimum 4-6 years in a data science role, building, implementing, and operationalizing end-to-end solutions. - Expertise strongly desired in building statistical and machine learning models for classification, regression, forecasting, anomaly detection, dimensionality reduction, clustering, etc. - Exposure to optimization and simulation techniques (good to have). - Expertise in building NLP-based language models, sentiment analysis, text summarization, and Named Entity Recognition. - Proven skills in translating statistics into insights, with sound knowledge in statistical inference and hypothesis testing. - Mandatory: Microsoft Office, Expert in Python, Advanced Excel. - An undying love for beer!,

Job Description: As the Digital Transformation Lead at Godrej Agrovet Limited (GAVL) in Mumbai, you will play a crucial role in driving innovation and productivity in the agri-business sector. GAVL is dedicated to enhancing the livelihood of Indian farmers by developing sustainable solutions that enhance crop and livestock yields. With leading market positions in Animal Feed, Crop Protection, Oil Palm, Dairy, Poultry, and Processed Foods, GAVL is committed to making a positive impact on the agricultural industry. With an impressive annual sales figure of 6000 Crore INR in FY 18-19, GAVL has a widespread presence across India, offering high-quality feed and nutrition products for cattle, poultry, aqua feed, and specialty feed. The company operates 50 manufacturing facilities, has a network of 10,000 rural distributors/dealers, and employs over 2500 individuals. At GAVL, our people philosophy revolves around the concept of tough love. We set high expectations for our team members, recognizing and rewarding performance and potential through career growth opportunities. We prioritize the development, mentoring, and training of our employees, understanding that diverse interests and passions contribute to a strong team dynamic. We encourage individuals to explore their full potential and provide a supportive environment for personal and professional growth. In this role, you will utilize your expertise as a Data Scientist to extract insights from complex datasets, develop predictive models, and drive data-driven decisions across the organization. You will collaborate with various teams, including business, engineering, and product, to apply advanced statistical methods, machine learning techniques, and domain knowledge to address real-world challenges. Key Responsibilities: - Data Cleaning, Preprocessing & Exploration: Prepare and analyze data, ensuring quality and completeness by addressing missing values, outliers, and data transformations to identify patterns and anomalies. - Machine Learning Model Development: Build, train, and deploy machine learning models using tools like MLflow on the Databricks platform, exploring regression, classification, clustering, and time series analysis techniques. - Model Evaluation & Deployment: Enhance model performance through feature selection, leveraging distributed computing capabilities for efficient processing, and utilizing CI/CD tools for deployment automation. - Collaboration: Work closely with data engineers, analysts, and stakeholders to understand business requirements and translate them into data-driven solutions. - Data Visualization and Reporting: Create visualizations and dashboards to communicate insights to technical and non-technical audiences using tools like Databricks and Power BI. - Continuous Learning: Stay updated on the latest advancements in data science, machine learning, and industry best practices to enhance skills and processes. Required Technical Skills: - Proficiency in statistical analysis, hypothesis testing, and machine learning techniques. - Familiarity with NLP, time series analysis, computer vision, and A/B testing. - Strong knowledge of Databricks, Spark DataFrames, MLlib, and programming languages (Python, TensorFlow, Pandas, scikit-learn, PySpark, NumPy). - Proficient in SQL for data extraction, manipulation, and analysis, along with experience in MLflow and cloud data storage tools. Qualifications: - Education: Bachelors degree in Statistics, Mathematics, Computer Science, or a related field. - Experience: Minimum of 3 years in a data science or analytical role. Join us at Vikhroli, Mumbai, and be a part of our mission to drive digital transformation and innovation in the agricultural sector at Godrej Agrovet Limited.,

Citi Analytics & Information Management (AIM) team is a global community that objectively connects and analyzes information to create actionable intelligence for business leaders. As a C12 (Individual Contributor) AVP within the Fraud Analytics team in Citi AIM, your primary focus will be on analyzing transaction data, understanding fraud patterns, and developing fraud loss mitigation strategies to minimize fraud losses and customer impact. You will be responsible for monitoring strategy performance, collaborating with the implementation team, and proactively leveraging new data sources and advanced analytics techniques for fraud loss mitigation. You will be expected to conduct hands-on analysis on a regular and ad hoc basis, extract various data sources beyond transactions, generate fraud risk insights, recommend business solutions, and monitor strategy performance. Proficiency in Logistic Regression/ ML Model development, regardless of the programming language, is essential. Your role will require thought leadership in designing, developing, and implementing Machine Learning solutions. Having a holistic view of retail banking products, best practices, and integrating analytical thinking with business knowledge is crucial. Experience in analytics within the BFSI domain, proficiency in basic statistics, hypothesis testing, segmentation, and predictive modeling are necessary. Strong skills in SAS, SQL, Hive, Impala, and Excel are expected, with knowledge in Python being desirable. Previous experience in Fraud Analytics and familiarity with Tableau or other data visualization tools are advantageous. Stakeholder management across various functions and regions, translating data into consumer insights, effective communication with business partners and senior leaders, and delivering clear presentations are key aspects of the role. You will also be responsible for project management, including creating project plans, assigning responsibilities, completing projects in a timely manner, and supporting regulatory/audit activities and risk control efforts when required. Qualifications: - 8+ years of analytics experience, including model development, with prior Fraud analytics experience preferred - Good knowledge of Python, SQL, and Big Data, with familiarity in ML/DL applications like Keras, TensorFlow, Python Scikit - Advanced analytical and business strategy skills - Effective communication and presentation skills - Project and process management abilities - Experience in financial services analytics - Strong organizational and multitasking skills - Self-starter with a collaborative team spirit Education: - Bachelors/University degree or equivalent experience, Masters degree preferred In this role, you will be part of the Decision Management job family, focusing on Specialized Analytics (Data Science/Computational Statistics) on a full-time basis. If you require accommodation due to a disability, review the Accessibility at Citi guidelines. For information on Citi's EEO Policy Statement and Know Your Rights, refer to the provided resources.,

Manager, Data Scientist, Pricing Strategy - Gurugram, Haryana, India Manager, Data Scientist, Pricing Strategy Manager, Data Scientist, Pricing Strategy About Klook We are Asia s leading platform for experiences and travel services, and we believe that we can help bring the world closer together through experiences . Founded in 2014 by 3 avid travelers, Ethan Lin, Eric Gnock Fah and Bernie Xiong, Klook inspires and enables more moments of joy for travelers with over half a million curated quality experiences ranging from the biggest attractions to paragliding adventures, iconic museums to rich cultural tours, and other convenient local travel services across 2,700 destinations around the world. Do you share our belief in the wonders of travel? Our international community of over 1,800 employees, based in 30+ locations, certainly do! Global citizens ourselves, Klookers are not only curating memorable experiences for others but also co-creating our world of joy within Klook. We work hard and play hard, upkeeping our high-performing culture as we are guided daily by our 6 core values: Customer First Push Boundaries Critical Thinking Build for Scale Less is More Win as One We never settle, and together, we believe in achieving greater heights and realizing endless possibilities ahead of us in the dynamic new era of travel. Care to be a part of this revolution? Join us! As a Data Scientist within the Pricing Strategy team, you will play a pivotal role in driving data-driven decision-making and optimizing pricing strategies. You will leverage your expertise in data science and analytics to develop and implement dynamic pricing models, predictive and prescriptive analysis, ultimately contributing to revenue growth and market competitiveness. What youll do: Dynamic Pricing Model Development: Develop and implement advanced dynamic pricing models to optimize product pricing across various channels and markets. Predictive Analytics: Utilize predictive modeling techniques to forecast demand, market trends, and customer behavior, enabling proactive pricing adjustments. Prescriptive Analysis: Employ prescriptive analytics to identify optimal pricing strategies based on specific business objectives and constraints. Data Exploration and Analysis: Conduct in-depth data exploration and analysis to uncover valuable insights and inform pricing decisions. Model Evaluation and Refinement: Continuously evaluate and refine pricing models to ensure their accuracy and effectiveness. Collaboration: Collaborate with cross-functional teams (e.g., marketing, sales, finance) to align pricing strategies with overall business goals. Stay Updated : Stay abreast of the latest advancements in data science and pricing optimization techniques. What youll need: Masters degree or PhD in Data Science, Statistics, Computer Science, Economics, or a related field. A minimum of 3-4 years of relevant experience in the field of Data Science. Strong programming skills in Python or R, including proficiency in data manipulation, analysis, and visualization libraries (e.g., Pandas, NumPy, Matplotlib, Seaborn). Experience with machine learning algorithms and techniques (e.g., regression, classification, clustering, time series analysis). Knowledge of statistical modeling and hypothesis testing. Experience with data warehousing and cloud computing platforms (e.g., AWS, GCP, Azure) is a plus. Excellent problem-solving and analytical skills. Ability to communicate complex technical concepts to both technical and non-technical audiences. Passion for data-driven decision-making and a continuous learner mindset. Klook is proud to be an equal opportunity employer. We hire talented and passionate people of all backgrounds. We believe that a joyful workplace is an inclusive workplace, one where employees from all walks of life have an equal opportunity to thrive. We re dedicated to creating a welcoming and supportive culture where everyone belongs. Klook does not accept unsolicited resumes from any temporary staffing agency, placement service or professional recruiter ( Agency ). Klook will not be responsible for, and will not pay, any fees, commissions or other payments related to such unsolicited resumes. An Agency must obtain advance written approval from Klook s Talent Acquisition Team to submit resumes, and then only in conjunction with a valid fully-executed agreement for service and in response to a specific job opening for which the Agency has been requested to submit resumes for. Klook will not be responsible for, and will not pay, any fees, commissions or other payments to any Agency that does not have such agreement in place or does not comply with the foregoing. Alert me about jobs like this Upon clicking Apply, you will be redirected to the Klook Workday application form. Please do not close your browser. We have emailed you a code to verify your identity. Please check your spam/junk folder if you dont receive the email in your inbox. Please enter your validation code: Hold on, youre being redirected to the application form. About Klook We are Asia s leading platform for experiences and travel services, and we believe that we can help bring the world closer together through experiences. Founded in 2014 by 3 avid travelers, Ethan Lin, Eric Gnock Fah and Bernie Xiong... Sales & Business Development About Klook We are Asia s leading platform for experiences and travel services, and we believe that we can help bring the world closer together through experiences. Founded in 2014 by 3 avid travelers, Ethan Lin, Eric Gnock Fah and Bernie Xiong... About Klook We are Asia s leading platform for experiences and travel services, and we believe that we can help bring the world closer together through experiences. Founded in 2014 by 3 avid travelers, Ethan Lin, Eric Gnock Fah and Bernie Xiong... Hong Kong SAR Hong Kong SAR About Klook We are Asia s leading platform for experiences and travel services, and we believe that we can help bring the world closer together through experiences. Founded in 2014 by 3 avid travelers, Ethan Lin, Eric Gnock Fah and Bernie Xiong... About Klook We are Asia s leading platform for experiences and travel services, and we believe that we can help bring the world closer together through experiences. Founded in 2014 by 3 avid travelers, Ethan Lin, Eric Gnock Fah and Bernie Xiong... Sales & Business Development About Klook We are Asia s leading platform for experiences and travel services, and we believe that we can help bring the world closer together through experiences. 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As a member of the Expedia Group team, you will be part of a global travel powerhouse that aims to make travel smoother and more memorable for everyone, everywhere. Our innovative technology solutions cater to travelers" needs and create groundbreaking opportunities for our partners. We thrive on the diversity, vibrancy, and inclusivity of our community, which is fundamental to our continued success. Why Join Us At Expedia Group, we prioritize people in shaping the future of travel. Our Values and Leadership Agreements guide us in maintaining an open culture where every individual is valued, differences are celebrated, and collective success is paramount. By joining our team, you will enjoy a comprehensive benefits package that includes exciting travel perks, generous time-off, parental leave, a flexible work model, and access to career development resources. We are committed to fueling our employees" passion for travel and ensuring a fulfilling career journey as we work towards building a more open world. About The Role Are you enthusiastic about data, analytics, and collaborating with top talent to solve complex problems If you are eager to make a direct impact on reshaping the travel industry through insightful recommendations that drive enhancements, we are looking for you! We are in search of an experienced analytics professional to join our AI Agent Product Analytics Team, supporting a diverse portfolio of the world's leading online travel brands. In this mid-level role, you will work closely with product managers to focus on user experience optimization through GenAI-driven personalization. As a Data Scientist, your responsibilities will involve collaborating with a multidisciplinary team to address various challenges. You will bring scientific rigor and statistical methods to support business growth and product development efforts. Your role will play a crucial part in informing key business decisions across the product development lifecycle to enhance the user experience for millions of Expedia customers. You will be tasked with identifying customer friction points, generating and prioritizing hypotheses, designing experiments, conducting unbiased test analyses, providing actionable recommendations, and optimizing products. If you are a self-motivated individual who has a track record of leveraging analytics to drive innovation and enhance user engagement, this role is tailored for you. Your Responsibilities Will Include: - Applying expertise in quantitative analysis, machine learning, data mining, and data visualization to enhance customer experience and drive business outcomes with a focus on impactful analytics - Guiding product teams towards actionable insights - Leading end-to-end testing excellence, including the evaluation of A/B and multivariate (MVT) tests, identifying opportunities, and suggesting new features for test-and-learn initiatives - Assessing and implementing alternative methods to complement randomized testing - Developing metrics frameworks for your product, creating accurate and user-friendly dashboards/reports, and collaborating on goal setting, performance reviews, and strategic planning - Taking the initiative to identify current and potential problems and recommending optimal solutions based on trade-offs Experience And Qualifications: - 4+ years of experience in quantitative analysis for solving business problems - Bachelor's degree in a science, technology, engineering, or mathematics (STEM) field - Strong analytical skills with the ability to break down complex business scenarios - Experience with large datasets and proficiency in SQL or programming languages such as R or Python - Excellent communication skills with the ability to craft compelling stories using data - Solid understanding of statistics and hypothesis testing (e.g., confidence intervals, regression, time series, clustering, factor analysis) - Familiarity with visualization tools such as Tableau - Knowledge of Adobe Analytics or Google Analytics is a plus - Detail-oriented with a strong curiosity and passion for making an impact Accommodation Requests: If you require assistance during any part of the application or recruiting process due to a disability or other physical or mental health conditions, please contact our Recruiting Accommodations Team through the Accommodation Request. We are honored to have been recognized as a Best Place to Work on Glassdoor in 2024 and to have received accolades for our award-winning culture from organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's esteemed family of brands includes Brand Expedia, Hotels.com, Expedia Partner Solutions, Vrbo, trivago, Orbitz, Travelocity, Hotwire, Wotif, ebookers, CheapTickets, Expedia Group Media Solutions, Expedia Local Expert, CarRentals.com, and Expedia Cruises. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50 Please note that all employment opportunities and job offers at Expedia Group will be communicated by Expedia Group's Talent Acquisition and hiring teams. Never disclose sensitive personal information to anyone unless you are certain of the recipient's identity. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom prior contact has not been made. Our official email domain is @expediagroup.com. To find and apply for job openings at Expedia Group, visit careers.expediagroup.com/jobs.,

As a Senior Data Analyst at Incedo, you will be responsible for analyzing and interpreting large and complex datasets to extract insights and identify patterns. You will work with data analysts and data scientists to understand business requirements and provide data-driven solutions. You will be skilled in data analysis tools such as Excel or Tableau and have experience in programming languages such as Python or R. You will be responsible for ensuring that data analysis is accurate, efficient, and scalable. Roles & Responsibilities: Analyzing and interpreting complex data sets using statistical and data analysis tools Developing and implementing data-driven insights and solutions Creating and presenting reports and dashboards to stakeholders Collaborating with other teams to ensure the consistency and integrity of data Providing guidance and mentorship to junior data analysts. Technical Skills Skills Requirements: Proficiency in data wrangling and data cleaning techniques using tools such as Python, R, or SQL. Knowledge of statistical analysis techniques such as hypothesis testing, regression analysis, or time-series analysis. Familiarity with data visualization and reporting tools such as Tableau, Power BI, or Looker. Understanding of data exploration and discovery techniques such as clustering, anomaly detection, or text analytics. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team. Nice-to-have skills Qualifications Qualifications 4-6 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

As a Principle Engineer - Data Science and Modeling at Incedo, you will be responsible for developing and deploying predictive models and machine learning algorithms to support business decision-making. You will work with data scientists, data engineers, and business analysts to understand business requirements and develop data-driven solutions. You will be skilled in programming languages such as Python or R and have experience in data science tools such as TensorFlow or Keras. You will be responsible for ensuring that models are accurate, efficient, and scalable. Roles & Responsibilities: Developing and implementing machine learning models and algorithms to solve complex business problems Conducting data analysis and modeling using statistical and data analysis tools Collaborating with other teams to ensure the consistency and integrity of data Providing guidance and mentorship to junior data science and modeling specialists Presenting findings and recommendations to stakeholders Foster a collaborative and supportive work environment, promoting open communication and teamwork. Demonstrate strong leadership skills, with the ability to inspire and motivate team members to perform at their best. Technical Skills Skills Requirements: Proficiency in statistical analysis techniques such as regression analysis, hypothesis testing, or time-series analysis. Knowledge of machine learning algorithms and techniques such as supervised learning, unsupervised learning, or reinforcement learning. Experience with data wrangling and data cleaning techniques using tools such as Python, R, or SQL. Understanding of big data technologies such as Hadoop, Spark, or Hive. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Should be able to identify problems, generate effective solutions, and troubleshoot issues that may arise while working on complex projects. Must Display Adaptability to changing circumstances, new technology, and shifting priorities. Nice-to-have skills Qualifications Qualifications 11-12 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Business Overview The team works on data collected from different business domains, such as, Rewards, Health, Assessments, HR, McLagan, Radford, and continue to explore avenues for the creation of new analytical products that can become future revenue streams. The team uses advanced applications along with statistical/data-science know-how to do hypothesis testing, prescriptive analysis and predictive analytics on key business/client questions using tools like Python, SQL, Databricks. Insights are reported using visualization tools like Tableau, Power BI, Power Point, or VBA-powered Excel dashboards. The team also uses its skills to support consulting studies/products serviced under the HCS People and Performance Analytics banner. Work Description/Role Summary: A colleague as part of the Rewards Innovation Team may get unique opportunities to work for Aon Clients worldwide leaders, and contribute towards Aon Strategy. At the same time, utilizing own skills set, one can touch multiple lives across the globe, bring impactful solutions in multiple domains and transform business. It is a unique opportunity to be part of a small team and get visibility amongst Aon Leadership of both onshore and offshore. Nevertheless, the opportunity will open doors with work on the advanced analytics (such as, NLP (text analytics), Machine Learning, etc.) Role overview: A colleague must be adaptive of acquiring new skills within a short time period based on the business needs. One must have analytical mindset to perform data analysis and data visualization on large data sets. Skills of Problem solving and automation using coding will help a colleague to explore new opportunities, bring efficiency and innovative solutions. The ability to present to senior leaders and create client ready reports are needed. Colleague should have the knowledge of creating SQL queries and perform other database operations (such as, creating views and procedures). Skills Knowledge Requirements: Basic knowledge of VBA, Tableau/Power BI or Python are must. Intermediate knowledge of Statistics, SQL, and MS applications are required. Knowledge of any programming language is preferred. Good communication skills, Logical reasoning, Analytical Abilities, Data Interpretation Mandatory Skills Needs to be comfortable working in an un-structured environment since this role requires working with exploratory projects which do not have clear-cut mode-of-operation or defined start end objectives. Need a never-give-up attitude since the research with require experimenting with multiple failed approaches until the right successful approach is discovered. High Data Acumen with good eye for detail and keen sense to seek out patterns. Logical reasoning ability is required with a drive for problem solving. Ability to understand complex requirements and relay complex thoughts across teams is a must. 2563945

Function/Craft: Analytics Position Title: Senior Associate Marketing Sciences Position Overview We are seeking a skilled and driven professional to join our Analytics Team. The ideal candidate will be analytically minded, hands-on, and possess a strong academic background, an entrepreneurial spirit, and a genuine interest in data analytics. This role requires the ability to leverage analytics to present information in a clear and impactful manner that supports fact-based decision-making. This role is based in Pune but will be supporting teams around the world. Responsibilities Accurately assess the effectiveness and performance of paid advertising campaigns by collecting, aggregating, processing, and analyzing large datasets from multiple sources, including proprietary agency analytics platforms. Pull data from multiple sources using automated methods; clean and validate data using standard processes and perform regular data quality checks. Support data processes such as ETL (extract, transform, load); write scripts to automate or process data with guidance, leveraging databases to store and harmonize large datasets for analysis. Build analytical models (e.g., marketing mix, brand awareness, marketing attribution ) and perform analysis with minimal guidance, using standard tools and applications with the ability to investigate non standard results. Load models into optimization platforms and run simulations and optimizations as directed. Create and update presentations, analytical dashboards, and simulation tools to support clients and internal teams. Coordinate with internal and external clients for projects and workflows to ensure high-quality deliverables and timely execution with good degree of independence. Participate in client meetings and present analytical insights to internal teams and stakeholders, communicating complex findings clearly and confidently. Foster a mindset of continuous improvement by identifying opportunities to enhance processes and increase efficiency. Handle ad hoc assignments within the scope of the role; apply technical knowledge and judgment to solve problems in straightforward situations. Document processes and establish best practices. Support multiple projects with complex scope and tight deadlines. Establish relationships with clients and stakeholders and train associates or new joiners in the organizations. Qualification - Required Skills Bachelors degree in Statistics, Mathematics, Econometrics, Quantitative Finance, Actuarial Science, Engineering, or a related field from a reputable university 3 to 5 years of experience in analytics, with a focus building statistical models or predictive modelling Strong proficiency with Microsoft Office, particularly Powerpoint and Excel, including its advanced features Fluency in data management, statistical and optimization languages, ideally one of these: R/SQL/PYTHON Strong knowledge of Statistics and Econometrics (e.g., R-square, MAPE, Hypothesis Testing) Excellent verbal and written English communication skills, with the ability to present data-driven insights effectively and simplify complex ideas to peers and senior leaders within agencies and with clients Proven track record of collaborating across teams to deliver actionable insights and enhance client deliverables. Excellent problem-solving skills, attention to detail and strong time management and organizational skills and open-minded with desire to self-develop and face new challenges Qualifications - Desired Skills Ability to thrive and enthusiasm to work in a fast-paced, ambiguous, and dynamic environment, with the capability to manage multiple priorities under pressure. Experience in the marketing domain and media measurement, marketing mix and ROI measurement, simulation or optimization Experience with industry tools such as Syndicated Consumer (Simmons, MRI), Syndicated Sales (Nielsen Polk, JD Powers), Media Consumption (Nielsen, Arbitron, Comscore), Paid Media Monitoring (Kantar, AdViews) and Social Media Monitoring (NetBase, Sysomos) Prior project management experience is a plus

Job Area: Information Technology Group, Information Technology Group > IT Data Engineer General Summary: Skills Required: 1. Good hands-on experience on SQL Focus on Writing efficient queries. Solving real-world case studies. Practicing advanced topics like window functions and CTEs. 2.Writing Python Basics Handle data cleaning with Pandas and NumPY Experience in handling automation. 3. BI Tool Proficiency- Tableau/Power BI/Splunk Present actionable insights. Experience in building dashboard, creating data models. visually engaging reports and alerts. Data refresh schedules. 4. Understanding on Mean, median, mode, and standard deviation. Hypothesis testing and confidence intervals. Basics of probability will give you an edge. NoteAny Certification would be added advantage. Minimum Qualifications: 4+ years of IT-related work experience with a Bachelor's degree in Computer Engineering, Computer Science, Information Systems or a related field. OR 6+ years of IT-related work experience without a Bachelors degree. 2+ years of work experience with programming (e.g., Java, Python). 1+ year of work experience with SQL or NoSQL Databases. 1+ year of work experience with Data Structures and algorithms. Bachelors / Masters or equivalent degree in computer engineering or in equivalent stream Applicants Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

JR: R00229254 Experience: 11-15 Years Educational Qualification: Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field. ---- Job Title - S&C Global Network - AI - Healthcare Analytics - Senior Manager Management Level: 6-Senior Manager Location: Bangalore/Gurgaon Must-have skills: R,Phython,SQL,Spark,Tableau ,Power BI Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading AI/ML/Statistical tools, methods and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically-informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. WHATS IN IT FOR YOU An opportunity to work on high-visibility projects with top Pharma clients around the globe. Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners, and business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everythingfrom how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. Opportunity to thrive in a culture that is committed to accelerating equality for all. Engage in boundaryless collaboration across the entire organization. What you would do in this role Lead proposals, and business development efforts and coordinate with other colleagues to cross-sell/ up-sell Life Sciences offerings to existing as well as potential clients. Lead client discussions, developing new industry Point of View (PoV), re-usable assets (tools) Collaborate closely with cross-functional teams including Data engineering, technology, and business stakeholders to identify opportunities for leveraging data to drive business solutions. Lead and manage teams to deliver transformative and innovative client projects. Guide teams on analytical and AI methods and approaches Manage client relationships to foster trust, deliver value, and build the Accenture brand Drive consulting practice innovation and thought leadership in your area of specialization Support strategies and operating models focused on some business units and assess likely competitive responses. Also, assess implementation readiness and points of greatest impact. Execute a transformational change plan aligned with the clients business strategy and context for change. Engage stakeholders in the change journey and build commitment to change. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Proven experience in cross-sell/ up-sell Leverage ones hands-on experience of working across one or more of these areas such as real-world evidence data, R&D clinical data, and digital marketing data. Experience with handling Datasets like Komodo, RAVE, IQVIA, Truven, Optum, SHS, Specialty Pharmacy, PSP, etc. Experience in building and deployment of Statistical Models/Machine Learning including Segmentation & predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization. Excellent analytical and problem-solving skills, with a data-driven mindset. Ability to solve complex business problems and deliver client delight. Strong writing skills to build points of view on current industry trends. Good Client handling skills; able to demonstrate thought leadership & problem-solving skills. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 11-15 Years Educational Qualification: Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field.

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At PwC, the focus is on leveraging data to drive insights and make informed business decisions in the field of data and analytics. Utilizing advanced analytics techniques is key to helping clients optimize their operations and achieve strategic goals. As a member of the data analysis team at PwC, you will be tasked with utilizing advanced analytical techniques to extract insights from large datasets and facilitate data-driven decision-making. Your role will involve leveraging skills in data manipulation, visualization, and statistical modeling to assist clients in solving complex business problems. PwC US - Acceleration Center is currently looking for a highly skilled and experienced GenAI Data Scientist to join the team at the Senior Associate level. In this role, you will be instrumental in developing and implementing machine learning models and algorithms for GenAI projects. The ideal candidate should possess a strong background in data science, particularly focusing on GenAI technologies, and have a solid understanding of statistical analysis, machine learning, data visualization, and application programming. As a candidate with 4+ years of hands-on experience, your responsibilities will include collaborating with cross-functional teams to understand business requirements and identify opportunities for applying GenAI technologies, developing and implementing machine learning models and algorithms for GenAI projects, performing data cleaning, preprocessing, and feature engineering, collaborating with data engineers for efficient data processing and integration into machine learning pipelines, validating and evaluating model performance, developing and deploying production-ready machine learning applications and solutions, utilizing object-oriented programming skills, employing Kubernetes for container orchestration and deployment, designing and building chatbots using GenAI technologies, communicating findings and insights to stakeholders through data visualizations, reports, and presentations, and staying up-to-date with the latest advancements in GenAI technologies. Requirements for this role include 3-5 years of relevant technical/technology experience with a focus on GenAI projects, strong programming skills in languages like Python, R, or Scala, proficiency in machine learning libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn, experience with data preprocessing, feature engineering, and data wrangling techniques, a solid understanding of statistical analysis, hypothesis testing, and experimental design, familiarity with cloud computing platforms like AWS, Azure, or Google Cloud, knowledge of data visualization tools and techniques, strong problem-solving and analytical skills, excellent communication and collaboration abilities, and the ability to work in a fast-paced and dynamic environment. Preferred qualifications include experience with object-oriented programming languages like Java, C++, or C#, developing and deploying machine learning applications in production environments, understanding of data privacy and compliance regulations, and relevant certifications in data science or GenAI technologies. Nice-to-have skills encompass experience with Azure AI Search, Azure Doc Intelligence, Azure OpenAI, AWS Textract, AWS Open Search, AWS Bedrock, familiarity with LLM backed agent frameworks such as Autogen, Langchain, Semantic Kernel, etc., and experience in chatbot design and development. Candidates with a professional and educational background in any graduate / BE / B.Tech / MCA / M.Sc / M.E / M.Tech / Masters Degree / MBA are encouraged to apply for this position.,