1151 Statistical Modeling Jobs - Page 18

As a Manager or Senior Manager in the Strategic Forecasting role at Genpact, you will be responsible for developing short and long-term forecast models in the pharmaceutical industry. Your main tasks will include maintaining forecast models to reflect current data, seeking key business issues that impact product and market forecasts, and incorporating primary research results into forecast models. You will collaborate with client partners to anticipate risks and opportunities, implement new market trends and innovations, and drive automation of existing systems to enhance forecasting accuracy and efficiency. In this position, you will work closely with the Forecasting Center of Excellence to ensure objectivity of brand/therapeutic area forecasts, develop brand volume forecasts, conduct sensitivity analysis for risk management, and provide strategic insights on portfolio and brand strategy. You will also be responsible for reviewing sales performance, collaborating with internal and external partners to acquire relevant data, and presenting forecast approaches and methodologies at the executive level. Additionally, you will lead initiatives for new forecast approaches and methodologies, focus on analytics to drive improvement opportunities, and stay updated on leading analytic capabilities in the pharmaceutical industry. To qualify for this role, you should have a Master's degree in Pharmacy, Business Administration, Statistics, Data Science, Applied Mathematics, or a related quantitative field. You should also have 4-6 years of experience in pharma forecasting, analytical experience in the healthcare and life sciences industry, and expertise in forecasting techniques and models. Proficiency in tools and techniques such as SQL, Tableau, Alteryx, and machine learning/statistical learning concepts is required. Experience with large datasets, patient modeling approaches, and analytical tools like Python/R is preferred. Strong communication skills, proactive mindset, and the ability to work independently and deliver results in demanding situations are essential for success in this role. If you are a proactive planner with a passion for seeking new challenges and driving continuous innovation in forecasting, we encourage you to apply for the Senior Manager position at Genpact in Pune, India. This is a full-time role that requires a Master's degree or equivalent education level. The job posting date is Oct 7, 2024, and applications are ongoing.,

As a Data Science Trainer at Bright Future IT Solution located in Aurangabad, you will be responsible for designing and delivering training programs, workshops, and courses on data science concepts, tools, and techniques. Your role will involve utilizing your proficiency in Python, R, and SQL to impart knowledge in machine learning, data analysis, and statistical modeling. Strong communication and presentation skills are essential as you engage with diverse groups of learners. You should have experience in curriculum development and training delivery. A Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field is preferred for this full-time on-site position.,

As a Technical Solutions Consultant, you will be the primary point of contact for our largest advertising clients and product partners, overseeing the technical aspect of our relationship. You will collaborate with cross-functional teams in Engineering, Sales, and Product Management to implement cutting-edge technologies for external clients. Your responsibilities will range from conceptual design and testing to data analysis and support, ensuring the technical execution and business operations of Google's online advertising platforms and product partnerships. Your role will involve striking a balance between business requirements and technical constraints, developing innovative solutions, and serving as a trusted consultant to your collaborators. You will lead the development of tools and automation products, manage the technical aspects of Google's partnerships, drive product strategy, and prioritize projects and resources effectively. The Google Pixel team is dedicated to enhancing the mobile experience by designing and delivering world-class products. By leveraging advanced designs, technologies, and experiences in consumer electronics, the team aims to shape the future of Pixel devices and services. This involves integrating Google's artificial intelligence, software, and hardware to create transformative experiences for users globally. Your key responsibilities will include: - Developing Extract, Transform, and Load (ETL) processes to automate data collection and reporting tasks using various large-scale distributed data systems. - Creating and reviewing technical and end-user documentation, such as requirements and design documents, data standards, and policies. - Designing, optimizing, and managing data warehouses and reporting systems. - Leading a team of Data Engineers and Business Intelligence Engineers, collaborating closely with Software Engineering teams to design and acquire log-level data. - Designing dashboards, optimizing statistical models, and presenting accurate findings to stakeholders. Your background should ideally include a Bachelor's degree in Science, Technology, Engineering, Mathematics, or related fields, along with at least 9 years of experience in data engineering or data sciences. A Master's degree and proficiency in programming languages like Python or Java would be advantageous. Experience in source control systems, statistical analysis, and modeling will also be beneficial for this role. Additionally, your ability to drive the development of business solutions and infrastructure, translate analysis results into actionable insights, and prioritize tasks effectively will be critical to your success in this position.,

Looking for statistical analysis or predictive modelling candidates with skills in Power BI, Alteryx, SQL, Python or Java, Data Analysis, Data modelling, ETL, Data processing. This role requires developing statistical learning models.

Research, design, develop, and modify computer vision and machine learning algorithms and models, leveraging experience with technologies such as Caffe, Torch, or TensorFlow - Shape product strategy for highly contextualized applied ML/AI solutions by engaging with customers, solution teams, discovery workshops and prototyping initiatives - Help build a high-impact ML/AI team by supporting recruitment, training and development of team members - Serve as evangelist by engaging in the broader ML/AI community through research, speaking/teaching, formal collaborations and/or other channels Knowledge & Abilities: - Designing integrations of and tuning machine learning & computer vision algorithms - Research and prototype techniques and algorithms for object detection and recognition - Convolutional neural networks (CNN) for performing image classification and object detection - Familiarity with Embedded Vision Processing systems - Open source tools & platforms - Statistical Modeling, Data Extraction, Analysis, - Construct, train, evaluate and tune neural networks Mandatory Skills: : One or more of the following: Java, C++, Python Deep Learning frameworks such as Caffe OR Torch OR TensorFlow, and image/video vision library like OpenCV, Clarafai, Google Cloud Vision etc Supervised & Unsupervised LearningDeveloped feature learning, text mining, and prediction models (e.g., deep learning, collaborative filtering, SVM, and random forest) on big data computation platform (Hadoop, Spark, HIVE, and Tableau) *One or more of the following: Tableau, Hadoop, Spark, HBase, Kafka Experience: - 2-5 years of work or educational experience in Machine Learning or Artificial Intelligence - Creation and application of Machine Learning algorithms to a variety of real-world problems with large datasets - Building scalable machine learning systems and data-driven products working with cross functional teams - Working w/ cloud services like AWS, Microsoft, IBM, and Google Cloud- Working w/ one or more of the following: Natural Language Processing, text understanding, classification, pattern recognition, recommendation systems, targeting systems, ranking systems or similar Nice to Have: - Contribution to research communities and/or efforts, including publishing papers at conferences such as NIPS, ICML, ACL, CVPR, etc Education: BA/BS (advanced degree preferable) in Computer Science, Engineering or related technical field or equivalent practical experience Wipro is an Equal Employment Opportunity employer and makes all employment and employment-related decisions without regard to a person's race, sex, national origin, ancestry, disability, sexual orientation, or any other status protected by applicable law Product and Services Sales Manager Mandatory Skills: : Generative AI Experience: 3-5 Years

Project description We are seeking a highly skilled and motivated Data Scientist with 5+ years of experience to join our team. The ideal candidate will bring strong data science, programming, and data engineering expertise, along with hands-on experience in generative AI, large language models, and modern LLM application frameworks. This role also demands excellent communication and stakeholder management skills to collaborate effectively across business units. Responsibilities We are seeking a highly skilled and motivated Data Scientist with 5+ years of experience to join our team. The ideal candidate will bring strong data science, programming, and data engineering expertise, along with hands-on experience in generative AI, large language models, and modern LLM application frameworks. This role also demands excellent communication and stakeholder management skills to collaborate effectively across business units. Skills Must have Experience5+ years of industry experience as a Data Scientist, with a proven track record of delivering impactful, data-driven solutions. Programming Skills: Advanced proficiency in Python, with extensive experience writing clean, efficient, and maintainable code. Proficiency with version control tools such as Git. Data EngineeringStrong working proficiency with SQL and distributed computing with Apache Spark. Cloud PlatformsExperience building and deploying apps on Azure Cloud. Generative AI & LLMsPractical experience with large language models (e.g., OpenAI, Anthropic, HuggingFace). Knowledge of Retrieval-Augmented Generation (RAG) techniques and prompt engineering is expected. Machine Learning & ModelingStrong grasp of statistical modeling, machine learning algorithms, and tools like scikit-learn, XGBoost, etc. Stakeholder EngagementExcellent communication skills with a demonstrated ability to interact with business stakeholders, understand their needs, present technical insights clearly, and drive alignment across teams. Tools and librariesProficiency with libraries like Pandas, NumPy, and ML lifecycle tools such as MLflow. Team CollaborationProven experience contributing to agile teams and working cross-functionally in fast-paced environments. Nice to have Hands-on experience with Databricks and Snowflake. Hands-on experience building LLM-based applications using agentic frameworks like LangChain, LangGraph, and AutoGen. Familiarity with data visualization platforms such as Power BI, Tableau, or Plotly. Front-end/Full stack development experience. Exposure to MLOps practices and model deployment pipelines in production.

MEET THE TEAM We are a high-performing analytics team on a mission to embed AI into every layer of our decision-making. By demonstrating machine learning, large language models (LLMs), and automation, we're redefining how data powers innovation and efficiency at scale. YOUR IMPACT As the AI Lead, you'll architect AI-powered BI systems integrating Snowflake, Tableau, and natural language interfaces. Youll transform ETL workflows with ML automation and build multi-agent AI systems to supervise KPIs, generate dashboards, and drive insights in real time. MINIMUM QUALIFICATIONS Proven expertise in building AI apps (LLMs, RAG, NLP, Deep Learning). Sophisticated Python, SQL (Snowflake), and Tableau dashboarding. Experience with ML pipelines, GenAI frameworks (LangChain, Hugging Face). Ability to lead workshops, PoCs, and mentor teams. Close collaboration with AI/engineering/product teams. Continuous learning mindset with industry awareness. BASIC QUALIFICATIONS Bachelors/Masters in CS, AI, or related field. 10+ years in BI/Analytics; 3+ in AI/ML roles. Expertise in LLMs (OpenAI, Claude, Llamas), RAG, and agent-based systems. Strong MLOps skills: model deployment, lifecycle management. Leadership in cross-functional teams and innovation delivery. PREFERRED QUALIFICATIONS Experience with multi-agent AI in BI, Snowflake Cortex, and MLOps tools like Kubeflow. Proven track record integrating AI with enterprise BI platforms for business impact.

Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary . In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive datadriven decisionmaking. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Why PWC & Summary We are seeking a skilled Python Plotly Dash Dashboard/ Web Application Developer to join our team. The ideal candidate will have a strong background in building interactive web applications using Plotly Dash and be adept at translating business requirements into functional features. This role involves collaborating with crossfunctional teams to design, develop, and maintain impactful data visualization tools. s Design and develop sophisticated dashboards using Plotly Dash. Collaborate with internal teams and stakeholders to gather and understand requirements. Analyze data using Python libraries such as Pandas and NumPy ,Plotly Express etc. Optimize the performance and scalability of dashboards. Identify and troubleshoot issues in existing dashboards. Stay abreast of industry trends and new technologies. Mandatory skill sets 2 to 6 years of experience in developing dashboards using Plotly Dash. Strong proficiency in Python programming. Experience with web technologies, including HTML, CSS, and JavaScript. Ability to work with databases and extract relevant data. Understanding of data visualization principles. Excellent problemsolving skills and attention to detail. Strong communication skills with the ability to effectively convey technical information to nontechnical stakeholders Preferred skill sets Familiarity with cloud platforms and services (e.g., AWS, Azure, GCP) is a plus. Understanding UI/UX design principles. Familiarity with other data visualization tools. Years of experience required 47 years experience req. Education qualification B.Tech / M.Tech (Computer Science, Mathematics & Scientific Computing etc.) Education Degrees/Field of Study required Bachelor of Technology Degrees/Field of Study preferred Required Skills Plotly, Python (Programming Language) Microsoft Azure No

Do Research, design, develop, and modify computer vision and machine learning. algorithms and models, leveraging experience with technologies such as Caffe, Torch, or TensorFlow. - Shape product strategy for highly contextualized applied ML/AI solutions by engaging with customers, solution teams, discovery workshops and prototyping initiatives. - Help build a high-impact ML/AI team by supporting recruitment, training and development of team members. - Serve as evangelist by engaging in the broader ML/AI community through research, speaking/teaching, formal collaborations and/or other channels. Knowledge & Abilities: - Designing integrations of and tuning machine learning & computer vision algorithms - Research and prototype techniques and algorithms for object detection and recognition - Convolutional neural networks (CNN) for performing image classification and object detection. - Familiarity with Embedded Vision Processing systems - Open source tools & platforms - Statistical Modeling, Data Extraction, Analysis, - Construct, train, evaluate and tune neural networks Mandatory Skills: One or more of the following: Java, C++, Python Deep Learning frameworks such as Caffe OR Torch OR TensorFlow, and image/video vision library like OpenCV, Clarafai, Google Cloud Vision etc Supervised & Unsupervised LearningDeveloped feature learning, text mining, and prediction models (e.g., deep learning, collaborative filtering, SVM, and random forest) on big data computation platform (Hadoop, Spark, HIVE, and Tableau) *One or more of the following: Tableau, Hadoop, Spark, HBase, Kafka Experience:- 2-5 years of work or educational experience in Machine Learning or Artificial Intelligence - Creation and application of Machine Learning algorithms to a variety of real-world problems with large datasets. - Building scalable machine learning systems and data-driven products working with cross functional teams - Working w/ cloud services like AWS, Microsoft, IBM, and Google Cloud- Working w/ one or more of the following: Natural Language Processing, text understanding, classification, pattern recognition, recommendation systems, targeting systems, ranking systems or similar Nice to Have: - Contribution to research communities and/or efforts, including publishing papers at conferences such as NIPS, ICML, ACL, CVPR, etc. Education: BA/BS (advanced degree preferable) in Computer Science, Engineering or related technical field or equivalent practical experience Wipro is an Equal Employment Opportunity employer and makes all employment and employment-related decisions without regard to a person's race, sex, national origin, ancestry, disability, sexual orientation, or any other status protected by applicable law Product and Services Sales Manager Mandatory Skills: Generative AI. Experience:3-5 Years.

Simreka (Devtaar GmbH) is looking for Data Scientist to join our dynamic team and embark on a rewarding career journey Undertaking data collection, preprocessing and analysis Building models to address business problems Presenting information using data visualization techniques Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams Work on domain-specific LLMs and predictive modeling using scientific and industrial datasets.

Expert in Python and SQL for data exploration and modeling. - Strong background in statistical modeling, segmentation, and A/B testing. - Experience with scikit-learn, pandas, Jupyter, and optional tools like Tableau, Looker, or dashboards. - Comfortable working with campaign goals (ROAS, CPA, sales lift) and developing actionable audience insights. Develops insights, audience scoring, and experiment frameworks to identify the highest-performing combinations of segments, channels, and strategies. Design audience insights pipelines using device/app/geo/time/segment data to surface high-performing cohorts. Build LTV, propensity, and uplift models to influence media planning and bidding strategies. Account for seasonal and vertical-specific trends to enrich insights. Define key metrics for optimization (e.g., ROAS, CPA, foot traffic lift). Work closely with traders and marketers to translate business goals into data strategies. Skills: sql,looker,python,segmentation,statistical modeling,pandas,tableau,jupyter,scikit-learn,a/b testing,panda,

You will play a crucial role in developing and maintaining descriptive and predictive analytics models and tools that support Lowe's pricing strategy. Working closely with the Pricing team, you will translate pricing goals and objectives into data and analytics requirements. By leveraging a combination of open source and commercial data science tools, you will gather and wrangle data to provide data-driven insights, trends, and identify anomalies. Utilizing suitable statistical and machine learning techniques, you will address relevant questions and offer retail recommendations. Collaboration with product and business teams is essential to drive continuous improvement, incorporating feedback throughout development to maintain a best-in-class position in the pricing space. Your responsibilities will include translating pricing strategy and business objectives into analytics requirements, implementing processes for data collection and preparation, conducting data validation and outlier detection, designing and implementing statistical and machine learning models, ensuring model accuracy, and applying machine learning outcomes to business use cases. Educating the pricing team on interpreting and utilizing machine learning model results, designing and executing experiments to evaluate price changes, performing advanced statistical analyses, and managing analytics projects are key aspects of this role. You will also lead the exploration of new analytical techniques, collaborate with various teams, stay updated on industry developments, and mentor junior analysts to foster skill development and team growth. With 6-12 years of relevant experience, you should hold a Bachelor's or Master's degree in Engineering, Business Analytics, Data Science, Statistics, Economics, or Mathematics. Your skill set should include expertise in advanced quantitative analysis, statistical modeling, and machine learning models, along with experience in regression, hypothesis testing, time series analysis, predictive modeling, and other analytical concepts. Proficiency in SQL, Python, R, SAS, enterprise-level databases, data visualization tools, and cloud platforms is required. Technical expertise in Alteryx and Knime is desired for this role.,

You will be joining a leading Manufacturing company in Bengaluru (Bellandur Area) for a Full-Time role as a Data Scientist. As a member of the team, you will be responsible for various Data Science projects including Demand Forecasting, GenAI, Cross Sell, Churn Analytics, and Visual Analytics. Your main responsibilities will revolve around Data Analysis and Modeling, where you will work on collecting, cleaning, and preprocessing large datasets from manufacturing systems and sensors. You will develop and implement advanced statistical models and machine learning algorithms to analyze the data, identify patterns, trends, and anomalies to drive process improvements and predict failures. Another key aspect of your role will involve Process Optimization, where you will analyze and optimize manufacturing processes to increase efficiency, reduce waste, and enhance product quality. You will also be required to conduct root cause analysis for production issues and collaborate with engineering and production teams to implement data-driven solutions. In addition, you will be responsible for Reporting and Visualization by creating and maintaining dashboards and reports to convey key metrics and insights to stakeholders. Your ability to visualize complex data sets in a clear and concise manner will be crucial for decision-making purposes. Furthermore, you will engage in Cross-functional Collaboration by working closely with teams across engineering, production, quality assurance, and IT. Your role will involve translating business requirements into data-driven solutions and presenting your findings to stakeholders. To excel in this role, you should hold a Bachelor's degree in Data Science, Computer Science, Engineering, Statistics, or a related field, with a preference for a Master's or PhD. You should have at least 3 years of experience in data science, analytics, or a related field, particularly in a manufacturing environment. Strong proficiency in statistical modeling, machine learning, and data mining techniques is essential. Additionally, experience working on Cross Sales projects using Random Forest, Logistic Regression, SVM, Clustering, and other methods is preferred. Proficiency in programming languages such as Python, R, or Java will be advantageous for this position.,

Responsibilities : Build a portfolio of data opportunities for specific business partners based on your knowledge of the data and the business Support business partners in translating their needs into specific research questions that can be addressed in a data science project Apply techniques of data preparation, quality control, completeness, distribution, consistency, outliers, data or variable transformation Apply mathematical, statistical and modeling techniques in a suitable environment Use statistical analysis to support strategic decision-making Support partners in the correct interpretation and application of analysis results Training Business partners interpret analysis results independently or translating analysis results into the right actions Collaborate closely with Data Science Engineers to support the entire data pipeline process Evaluate the long-term validity of the analytical solution Follow up on developments in the field of statistical analysis, mathematical modeling, optimization, and integrate these into practice Profile : Should have 12+ years of working experience in Data-related projects At least 7+ years of relevant experience as a Data Scientist In-depth knowledge of statistical methods for data analysis, interpretation and application of these techniques to solve a Business problem Experience in applying a variety of analytical algorithms, including but not limited to linear and logistic regression, Bayesian analysis, decision trees, random forest, boosting techniques, forecasting, time series, clustering, neural networks and others Proficiency in Python is expected to perform Data Science activities Strong analytical and problem-solving skills Ability to work in a team-oriented, collaborative environment Excellent communication and interpersonal skills Experience in text mining, NLP, understanding of image processing Bachelors or masters degree in a relevant field such as Statistics, AI / ML / NLP is an added value

About The Role Skill required: Tech for Operations - Artificial Intelligence (AI) Designation: AI/ML Computational Science Sr Analyst Qualifications: Any Graduation/Post Graduate Diploma in Management Years of Experience: 5 to 8 years Language - Ability: English(Domestic) - Advanced About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do You will be part of the Technology for Operations team that acts as a trusted advisor and partner to Accenture Operations. The team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. We work closely with the sales, offering and delivery teams to identify and build innovative solutions.The Tech For Operations (TFO) team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. Works closely with the sales, offering and delivery teams to identify and build innovative solutions. Major sub deals include AHO(Application Hosting Operations), ISMT (Infrastructure Management), Intelligent AutomationUnderstanding of foundational principles and knowledge of Artificial Intelligence AI including concepts, techniques, and tools in order to use AI effectively. What are we looking for Machine LearningMachine Learning AlgorithmsMicrosoft Azure Machine LearningPython (Programming Language)Python Software DevelopmentAbility to work well in a teamWritten and verbal communicationNumerical abilityResults orientation2 CL8 ML Research Engineers:1. Mathematical & Statistical Foundations2. Programming & Software Engineering3. Model Development & Experimentation4. MLOps & Deployment5. Data Engineering & Feature EngineeringML Research Engineers must be adept at:Data wrangling, feature extraction, and data validationWorking with structured, unstructured, and streaming dataCollaborating with data engineers to ensure data quality and availability Roles and Responsibilities: In this role you are required to do analysis and solving of increasingly complex problems Your day to day interactions are with peers within Accenture You are likely to have some interaction with clients and/or Accenture management You will be given minimal instruction on daily work/tasks and a moderate level of instruction on new assignments Decisions that are made by you impact your own work and may impact the work of others In this role you would be an individual contributor and/or oversee a small work effort and/or team Please note that this role may require you to work in rotational shifts Qualification Any Graduation,Post Graduate Diploma in Management

About The Role Project Role : Data Science Practitioner Project Role Description : Formulating, design and deliver AI/ML-based decision-making frameworks and models for business outcomes. Measure and justify AI/ML based solution values. Must have skills : Natural Language Processing (NLP) Good to have skills : NAMinimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Science Practitioner, you will be engaged in formulating, designing, and delivering AI and machine learning-based decision-making frameworks and models that drive business outcomes. Your typical day will involve collaborating with various teams to measure and justify the value of AI and machine learning solutions, ensuring that they align with organizational goals and deliver tangible results. You will also be responsible for analyzing complex data sets, deriving insights, and presenting findings to stakeholders to support informed decision-making. Roles & Responsibilities:- Expected to be a Subject Matter Expert with deep knowledge and experience.- Should have influencing and advisory skills.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate workshops and training sessions to enhance team capabilities in AI and machine learning.- Continuously evaluate and improve existing AI and machine learning models to ensure optimal performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Natural Language Processing (NLP).- Strong understanding of machine learning algorithms and their applications.- Experience with data analysis and visualization tools.- Ability to communicate complex technical concepts to non-technical stakeholders.- Familiarity with programming languages such as Python or R. Additional Information:- The candidate should have minimum 15 years of experience in Natural Language Processing (NLP).- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Management Level: - Ind & Func AI Decision Science Consultant Level 9 Location: Gurgaon / Bangalore / Mumbai / Hyderabad Must-have skills: Marketing Analytics, Data Driven Merchandizing (Pricing/Promotions/Assortment Optimization), Statistical Timeseries Models, Store Clustering Algorithms, Descriptive Analytics, State Space Modeling, Mixed Effect Regression, NLP Techniques, Large Language Models, Azure ML Tech Stack, SQL, R, Python, AI/ML Model Development, Cloud Platform Experience (Azure/AWS/GCP), Data Pipelines, Client Management, Insights Communication Good to have skills: Non-linear Optimization, Resource Optimization, Cloud Capability Migration, Scalable Machine Learning Architecture Design Patterns, Econometric Modeling, AI Capability Building, Industry Knowledge:CPG, Retail Job Summary As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading 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. Roles & Responsibilities: Working through the phases of project Define data requirements for Data Driven Growth Analytics capability. Clean, aggregate, analyze, interpret data, and carry out data quality analysis. Knowledge of market sizing, lift ratios estimation. Experience in working with non-linear optimization techniques. Proficiency in Statistical Timeseries models, store clustering algorithms, descriptive analytics to support merch AI capability. Hands on experience in state space modeling and mixed effect regression. Development of AI/ML models in Azure ML tech stack. Develop and Manage data pipelines. Aware of common design patterns for scalable machine learning architectures, as well as tools for deploying and maintaining machine learning models in production. Knowledge of cloud platforms and usage for pipelining and deploying and scaling elasticity models. Working knowledge of resource optimization Working knowledge of NLP techniques, Large language models. Manage client relationships and expectations and communicate insights and recommendations effectively. Capability building and thought leadership. Logical Thinking Able to think analytically, use a systematic and logical approach to analyze data, problems, and situations. Notices discrepancies and inconsistencies in information and materials. Task Management Advanced level of task management knowledge and experience. Should be able to plan own tasks, discuss and work on priorities, track, and report progress . Client Relationship Development Manage client expectations and develop trusted relationships Maintain strong communication with key stakeholders Act as a strategic advisor to clients on their data-driven marketing decisions Professional & Technical Skills: Must have at least 4+ years of work experience in Marketing analytics with a reputed organization. 3+ years of experience in Data Driven Merchandizing which involves work experience in Pricing/Promotions/Assortment Optimization capabilities across retail clients. Strong understanding of econometric/statistical modeling:regression analysis, hypothesis testing, multivariate analysis, time series, optimization Expertise in Azure ML, SQL, R, Python, PySpark Proficiency in non-linear optimization and resource optimization Familiarity with design patterns for deploying and maintaining ML models in production Strong command over marketing data and business processes in Retail and CPG Hands-on with tools like Excel, Word, PowerPoint for communication and documentation Additional Information: Bachelor/Masters degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record Knowledge of CPG, Retail industry. Proficient in Excel, MS word, PowerPoint, etc. Strong client communication. About Our Company | Accenture Qualification Experience: Must have at least 4+ years of work experience in Marketing analytics with a reputed organization. 3+ years of experience in Data Driven Merchandizing which involves work experience in Pricing/Promotions/Assortment Optimization capabilities across retail clients. Educational Qualification: Bachelor/Masters degree in Statistics/Economics/Mathematics/Computer Science or related disciplines. Preferred advanced degrees include M.Tech, M.Phil/Ph.D in Statistics/Econometrics or related field from reputed institutions.

About The Role Project Role : Data Science Practitioner Project Role Description : Formulating, design and deliver AI/ML-based decision-making frameworks and models for business outcomes. Measure and justify AI/ML based solution values. Must have skills : Natural Language Processing (NLP) Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Science Practitioner, you will be engaged in formulating, designing, and delivering AI and machine learning-based decision-making frameworks and models that drive business outcomes. Your typical day will involve collaborating with various teams to measure and justify the value of AI and machine learning solutions, ensuring that they align with organizational goals and deliver tangible results. You will also be responsible for analyzing complex data sets, deriving insights, and presenting findings to stakeholders, all while fostering an environment of innovation and continuous improvement. Roles & Responsibilities:- Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing and mentorship within the team to enhance overall performance.- Develop and implement best practices for data analysis and model development to ensure high-quality outputs. Professional & Technical Skills: - Must To Have Skills: Proficiency in Natural Language Processing (NLP).- Strong understanding of machine learning algorithms and their applications.- Experience with data preprocessing techniques and text analytics.- Familiarity with programming languages such as Python or R for data analysis.- Ability to communicate complex technical concepts to non-technical stakeholders. Additional Information:- The candidate should have minimum 12 years of experience in Natural Language Processing (NLP).- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : Cloud Platform Engineer Project Role Description : Designs, builds, tests, and deploys cloud application solutions that integrate cloud and non-cloud infrastructure. Can deploy infrastructure and platform environments, creates a proof of architecture to test architecture viability, security and performance. Must have skills : NEXThink Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Cloud Platform Engineer, you will be responsible for designing, building, testing, and deploying cloud application solutions that seamlessly integrate both cloud and non-cloud infrastructure. Your typical day will involve collaborating with various teams to ensure the architecture's viability, security, and performance while creating proof of concepts to validate your designs. You will engage in hands-on deployment of infrastructure and platform environments, ensuring that all components work harmoniously together to meet organizational goals. Your role will also require you to stay updated with the latest cloud technologies and best practices to enhance the efficiency and effectiveness of the solutions you develop. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior professionals to enhance their skills and knowledge in cloud technologies.- Continuously evaluate and improve cloud application solutions to ensure optimal performance and security. Professional & Technical Skills: - Must To Have Skills: Proficiency in NEXThink.- Good To Have Skills: Experience with cloud service providers such as AWS, Azure, or Google Cloud Platform.- Strong understanding of cloud architecture and deployment models.- Experience with automation tools and scripting languages to streamline deployment processes.- Familiarity with monitoring and performance tuning of cloud applications. Additional Information:- The candidate should have minimum 5 years of experience in NEXThink.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

About this role: Wells Fargo is seeking a Risk Analytics Consultant. Department Overview: Enterprise Finance drives financial management for the company, maintains, and enhances risk and financial controls. Key functions within Enterprise Finance include finance and accounting; Treasury; corporate development, mergers, and acquisitions; Data Management and Insights, the Customer Remediation Center of Excellence, Enterprise Shared Services, Business Process Management, and Corporate Strategy. Enterprise Finance informs shareholders, regulators, taxing authorities, team members, and leaders of the companys financial performance through earnings releases, investor meetings and conferences, and meetings with regulators and credit rating agencies, following appropriate reporting guidelines. The Enterprise Finance function contains the Corporate Controllers division, which includes the Enterprise Controls & Oversight (ECO) group. The Controllers Division is responsible for the accuracy of the Companys financial statements, establishing corporate accounting policies, preparing SEC and regulatory reports and ensuring the adequacy of internal controls. Team Overview This role is in Independent Price Verification (IPV) group that is responsible for ensuring accurate valuations of and performing validation processes across all capital markets securities and loan products, including but not limited to Credit, Rate, Equity, Agency Structured Products, Non-Agency Structured Products and loan products in addition to derivatives. The candidate will be responsible for the consistent application of consistent price validation policies throughout the corporate wide population. The position requires an understanding of various security and derivative products, in addition to COSO principles, inclusive of control monitoring and reconciliation procedures. Additionally the position will be responsible for various month end and mid-month IPV and management reporting. Individual will be expected to provide leadership, assist with problem identification and solutions, and share best practices. This role will be required to frequently interact with senior management, business unit leaders, internal and external auditors, regulators and other business partners. The successful candidate will be a highly motivated team player and a self-starter who is accustomed to working in complex organizations, partnering with a diverse group of stakeholders, and achieving results. The candidate should be flexible, be able to withstand challenges and adapt accordingly. This is an exciting opportunity to help ensure high quality standards and compliance with the firms valuation and validation policies. This role requires a highly organized individual that is able to multi-task effectively and can quickly grasp complex instruments. Excellent project management, planning and communication skills are required as this position needs to be highly skilled in anticipating and articulating issues and communicating those issues to various audiences within the organization. Modeling knowledge related to a variety of models will be helpful to be effective in this role. In this role, you will: Participate in less complex analysis and modeling initiatives, and identify opportunity for process production, data reconciliation, and model documentation improvements within Risk Management Review and analyze programing models to extract data, and manipulate databases to provide statistical and financial modeling, and exercise independent judgment to guide new and existing projects with medium risk deliverables Coordinate and consolidate the production of monthly, quarterly, and annual performance reports for more experienced management Present recommendations for resolving data reconciliation, production, and database issues Exercise independent judgment while developing expertise in policy governance, risk projects, and regulatory requests Collaborate and consult with peers, managers, experienced managers, compliance, including various lines of business Required Qualifications: 2+ years of Risk Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Strong years of experience in one or a combination of the following: Analytics, Reporting or Internal Audit. BS / BA or higher in Finance, Accounting, Statistics, Economics or Business. Working knowledge of capital markets products, including securities and derivatives Excellent verbal, written, and interpersonal communication skills. Strong analytical skills with high attention to detail and accuracy Ability to articulate complex concepts in a clear manner. Strong understanding of Internal Controls including implementation Ability to organize and manage multiple priorities. Experience working across processes and posses a strong aptitude in identification of risk and controls. Ability to work independently with minimal supervision or in a highly interactive team environment. Experience in preparation and presentation of decks to the senior management. Experience in handling Audit walkthroughs. Experience in Product Control role or Account Reconciliations. Experience with Tableau reporting capabilities. Experience with Microsoft SQL.

About The Role Job Title - S&C Global Network - AI - Merchandising Analytics - Manager Management Level: 7-Manager Location: Bengaluru, BDC7C Must-have skills: Merchandising 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. 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. Must have knowledge of SQL, R and Python language and at-least one cloud-based technology (Azure, AWS, GCP) Must have knowledge of building price/discount elasticity models and conduct non-linear optimization. Must have good knowledge of state space & mixed-effect modeling techniques and optimization algorithms and applicability to industry data Must have AI capability migration experience from one cloud platform to another. Manage documentation of data models, architecture, and maintenance processes Have an understanding of econometric/statistical modeling and analysis techniques such as regression analysis, hypothesis testing, multivariate statistical analysis, time series techniques, optimization techniques, and statistical packages such as R, Python, SQL, PySpark. Proficient in Excel, MS word, PowerPoint, etc. Strong client and team management and planning of large-scale projects with risk assessment. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. WHATS IN IT FOR YOU As part of our Analytics practice, you will join a worldwide network of over 20,000 smart and driven colleagues experienced in leading 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. Accenture will continually invest in your learning and growth. You'll work with Data Driven Merchandizing experts, and Accenture will support you in growing your own tech stack and certifications. In Applied intelligence you will understand the importance of sound analytical decision-making, relationship of tasks to the overall project, and executes projects in the context of a business performance improvement initiative. What you would do in this role Working through the phases of project Define data requirements for Data Driven Merchandizing capability. Clean, aggregate, analyze, interpret data, and carry out data quality analysis. 5+ years of advanced experience in Data Driven Merchandizing which involves setting up Pricing/Promotions/Assortment Optimization capabilities across retail clients. Knowledge of price/discount elasticity estimation. Experience in working with non-linear optimization techniques. Proficiency in Statistical Timeseries models, store clustering algorithms, descriptive analytics to support merch AI capability. Hands on experience in state space modeling and mixed effect regression. Development of AI/ML models in Azure ML tech stack. Develop and Manage data pipelines. Develop and Manage Data within different layers of Snowflake environment. Aware of common design patterns for scalable machine learning architectures, as well as tools for deploying and maintaining machine learning models in production. Knowledge of cloud platforms and usage for pipelining and deploying and scaling elasticity models. Working knowledge of Price/Promo optimization. Well versed with creating insights presentations and client ready decks. Should be able to mentor and guide a team of 10-15 people under him/her. Manage client relationships and expectations and communicate insights and recommendations effectively. Capability building and thought leadership. Logical Thinking Able to think analytically, use a systematic and logical approach to analyze data, problems, and situations. Notices discrepancies and inconsistencies in information and materials. Task Management Advanced level of task management knowledge and experience. Should be able to plan own tasks, discuss and work on priorities, track, and report progress. About Our Company | Accenture Qualification Experience: 12-14Years Educational Qualification: Any Degree

About The Role Job Title - S&C Global Network - AI - T&O - Human Capital Analytics Analyst Management Level: 11-Analyst Location: Kolkata, KDC1A Must-have skills: Human Capital Analytics 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. WHATS IN IT FOR YOU As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading 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. In S&C GN - Data & AI you will understands the importance of sound analytical decision-making, relationship of tasks to the overall project, and executes projects in the context of a business performance improvement initiative. What you would do in this role Overview:- We're on the lookout for a dynamic and experienced Data Science Consultant for an Advanced People Analytics practice who is great at turning numbers into stories. In this pivotal role, you will harness the power of data to uncover insights that will help us understand our workforce better, making our employees happier and our organization more successful. Develop advanced statistical models to support HR Analytics offerings and solutions using good experience in data analysis and interpretation which helps clients to solve some of the core problems for diverse use cases across different industries. Should be expert in Python Programming Language to create efficient and deployable models and should have knowledge of ML API integrations with different solutions. Should have good knowledge on SQL and familiarity with at Relational and Non-Relational Databases. Use the cutting-edge ML and Data science Skills like Deep learning, LLM, TensorFlow, Time Series Forecasting, Boosting & Bagging, Cohort and Cluster Analysis etc. Deep Expertise on AWS/AZURE Cloud Services (certification Preferred). Anyone Cloud is preferred. Architect effective, scalable, and easy-to-understand dashboards and reporting solutions to identify useful and practical insights for the HR team and business leaders Be a data storyteller - Produce concise, story-driven reports and/or presentations to communicate analytic insights. Utilize Deep expertise in building product ready dashboards utilizing Power Bi and Tableau as the key BI tools. Should have 2-3 years building dashboards as key skill. Be capable of developing new KPIs, metrices and derive strategical insights. Excellent communication skills and ability to translate the business problem into an analytical problem. Cultivate and maintain strong relationships with clients , Understanding their unique challenges and objectives. Should be able to discuss key requirements from clients and navigate towards solutioning it. Should be able to manage Project Teams in terms of guiding the Analysts, Associates to design the desired solution and should be able to work on time bound deliverables. Proficient in engaging and collaborating with diverse onshore/offshore teams, demonstrating self-motivation and the ability to navigate and adapt within an agile environment. Capable of taking initiative and adjusting project course as necessary Use mathematical concepts, statistical analysis, experience, and industry knowledge to resolve complex issues creatively and effectively. Design and execute regular and ad-hoc reporting on key HR metrics, offering actionable insights to guide strategic HR decisions. Assist in creating communication materials and PPT presentations to support analysis, implementation of programs, or strategic initiatives updates. Should have good exposure on building ready to be used decks for different client engagements. Who we are looking for Education : Masters degree in Economics / Statistics / Mathematics/ Engineering or related Analytics discipline from premier institute Overall 5+ years experience in Analytics domain with 2-3 years in people/Human analytics or relevant domain Strong understanding of People function, people metrics, talent management processes, and organizational dynamics. Excellent problem-solving skills and the ability to convert complex data into actionable insights. Strong communication skills to convey insights and recommendations to both technical and non-technical audiences. Leadership experience, with a track record of effectively managing high visibility analytics projects. Experience with predictive analytics, machine learning, or statistical modeling is a plus. Good to Have:- PySpark/PyTorch framework exposure would be a bonus . Knowledge towards Data Governance, Cloud Integrations, Change Management, Big Data Technologies etc. is appreciated. Html 5/js skills are a bonus. Optimization Theory and People Analytics Consulting Experience Preferred. 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. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 3-5Years Educational Qualification: Any Degree

About The Role Job Title - S&C Global Network - AI - T&O - Human Capital Analytics Analyst Management Level: 11-Analyst Location: Bengaluru, BDC7C Must-have skills: Human Capital Analytics 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. WHATS IN IT FOR YOU As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading 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. In S&C GN - Data & AI you will understands the importance of sound analytical decision-making, relationship of tasks to the overall project, and executes projects in the context of a business performance improvement initiative. What you would do in this role Overview:- We're on the lookout for a dynamic and experienced Data Science Consultant for an Advanced People Analytics practice who is great at turning numbers into stories. In this pivotal role, you will harness the power of data to uncover insights that will help us understand our workforce better, making our employees happier and our organization more successful. Develop advanced statistical models to support HR Analytics offerings and solutions using good experience in data analysis and interpretation which helps clients to solve some of the core problems for diverse use cases across different industries. Should be expert in Python Programming Language to create efficient and deployable models and should have knowledge of ML API integrations with different solutions. Should have good knowledge on SQL and familiarity with at Relational and Non-Relational Databases. Use the cutting-edge ML and Data science Skills like Deep learning, LLM, TensorFlow, Time Series Forecasting, Boosting & Bagging, Cohort and Cluster Analysis etc. Deep Expertise on AWS/AZURE Cloud Services (certification Preferred). Anyone Cloud is preferred. Architect effective, scalable, and easy-to-understand dashboards and reporting solutions to identify useful and practical insights for the HR team and business leaders Be a data storyteller - Produce concise, story-driven reports and/or presentations to communicate analytic insights. Utilize Deep expertise in building product ready dashboards utilizing Power Bi and Tableau as the key BI tools. Should have 2-3 years building dashboards as key skill. Be capable of developing new KPIs, metrices and derive strategical insights. Excellent communication skills and ability to translate the business problem into an analytical problem. Cultivate and maintain strong relationships with clients , Understanding their unique challenges and objectives. Should be able to discuss key requirements from clients and navigate towards solutioning it. Should be able to manage Project Teams in terms of guiding the Analysts, Associates to design the desired solution and should be able to work on time bound deliverables. Proficient in engaging and collaborating with diverse onshore/offshore teams, demonstrating self-motivation and the ability to navigate and adapt within an agile environment. Capable of taking initiative and adjusting project course as necessary Use mathematical concepts, statistical analysis, experience, and industry knowledge to resolve complex issues creatively and effectively. Design and execute regular and ad-hoc reporting on key HR metrics, offering actionable insights to guide strategic HR decisions. Assist in creating communication materials and PPT presentations to support analysis, implementation of programs, or strategic initiatives updates. Should have good exposure on building ready to be used decks for different client engagements. Who we are looking for Education : Masters degree in Economics / Statistics / Mathematics/ Engineering or related Analytics discipline from premier institute Overall 5+ years experience in Analytics domain with 2-3 years in people/Human analytics or relevant domain Strong understanding of People function, people metrics, talent management processes, and organizational dynamics. Excellent problem-solving skills and the ability to convert complex data into actionable insights. Strong communication skills to convey insights and recommendations to both technical and non-technical audiences. Leadership experience, with a track record of effectively managing high visibility analytics projects. Experience with predictive analytics, machine learning, or statistical modeling is a plus. Good to Have:- PySpark/PyTorch framework exposure would be a bonus . Knowledge towards Data Governance, Cloud Integrations, Change Management, Big Data Technologies etc. is appreciated. Html 5/js skills are a bonus. Optimization Theory and People Analytics Consulting Experience Preferred. 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. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 3-5Years Educational Qualification: Any Degree

About The Role Management Level: 09 - Senior Consultant Location: Gurgaon/Bangalore/Mumbai Must have skills: Python Programming, Machine Learning, Statistical Analysis, Data Science, HR Analytics, SQL, Cloud (AWS/Azure), Power BI, Tableau Good to have skills: PySpark, PyTorch, HTML5, JS, Big Data Technologies, Data Governance, Cloud Integrations Job Summary : We're on the lookout for a dynamic and experienced Data Science Consultant for an Advanced People Analytics practice who is great at turning numbers into stories. In this pivotal role, you will harness the power of data to uncover insights that will help us understand our workforce better, making our employees happier and our organization more successful. Roles & Responsibilities: Develop advanced statistical models to support HR Analytics offerings and solutions using good experience in data analysis and interpretation which helps clients to solve some of the core problems for diverse use cases across different industries. Should be expert in Python Programming Language to create efficient and deployable models and should have knowledge of ML API integrations with different solutions. Should have good knowledge on SQL and familiarity with at Relational and Non-Relational Databases. Use the cutting-edge ML and Data science Skills like Deep learning, LLM, TensorFlow, Time Series Forecasting, Boosting & Bagging, Cohort and Cluster Analysis etc. Deep Expertise on AWS/AZURE Cloud Services (certification Preferred). Anyone Cloud is preferred. Architect effective, scalable, and easy-to-understand dashboards and reporting solutions to identify useful and practical insights for the HR team and business leaders Be a data storyteller - Produce concise, story-driven reports and/or presentations to communicate analytic insights. Utilize Deep expertise in building product ready dashboards utilizing Power Bi and Tableau as the key BI tools. Should have 2-3 years building dashboards as key skill. Be capable of developing new KPIs, metrices and derive strategical insights. Excellent communication skills and ability to translate the business problem into an analytical problem. Cultivate and maintain strong relationships with clients , Understanding their unique challenges and objectives. Should be able to discuss key requirements from clients and navigate towards solutioning it. Should be able to manage Project Teams in terms of guiding the Analysts, Associates to design the desired solution and should be able to work on time bound deliverables. Proficient in engaging and collaborating with diverse onshore/offshore teams, demonstrating self-motivation and the ability to navigate and adapt within an agile environment. Capable of taking initiative and adjusting project course as necessary Use mathematical concepts, statistical analysis, experience, and industry knowledge to resolve complex issues creatively and effectively. Design and execute regular and ad-hoc reporting on key HR metrics, offering actionable insights to guide strategic HR decisions. Assist in creating communication materials and PPT presentations to support analysis, implementation of programs, or strategic initiatives updates. Should have good exposure on building ready to be used decks for different client engagements. Professional & Technical Skills: Overall 5+ years experience in Analytics domain with 2-3 years in people/Human analytics or relevant domain Strong understanding of People function, people metrics, talent management processes, and organizational dynamics. Excellent problem-solving skills and the ability to convert complex data into actionable insights. Strong communication skills to convey insights and recommendations to both technical and non-technical audiences. Leadership experience, with a track record of effectively managing high visibility analytics projects. Experience with predictive analytics, machine learning, or statistical modeling is a plus. Additional Information: PySpark/PyTorch framework exposure would be a bonus . Knowledge towards Data Governance, Cloud Integrations, Change Management, Big Data Technologies etc. is appreciated. Html 5/js skills are a bonus. Optimization Theory and People Analytics Consulting Experience Preferred. About Our Company | Accenture (do not remove the hyperlink)Qualification Experience: Minimum 5 years of experience is required (with 2-3 years in People/Human Analytics) Educational Qualification: Masters degree in Economics / Statistics / Mathematics/ Engineering or related Analytics discipline from a premier institute

About The Role Management Level: 09 - Senior Consultant Location: Gurgaon/Bangalore/Mumbai Must have skills: Python Programming, Machine Learning, Statistical Analysis, Data Science, HR Analytics, SQL, Cloud (AWS/Azure), Power BI, Tableau Good to have skills: PySpark, PyTorch, HTML5, JS, Big Data Technologies, Data Governance, Cloud Integrations Job Summary : We're on the lookout for a dynamic and experienced Data Science Consultant for an Advanced People Analytics practice who is great at turning numbers into stories. In this pivotal role, you will harness the power of data to uncover insights that will help us understand our workforce better, making our employees happier and our organization more successful. Roles & Responsibilities: Develop advanced statistical models to support HR Analytics offerings and solutions using good experience in data analysis and interpretation which helps clients to solve some of the core problems for diverse use cases across different industries. Should be expert in Python Programming Language to create efficient and deployable models and should have knowledge of ML API integrations with different solutions. Should have good knowledge on SQL and familiarity with at Relational and Non-Relational Databases. Use the cutting-edge ML and Data science Skills like Deep learning, LLM, TensorFlow, Time Series Forecasting, Boosting & Bagging, Cohort and Cluster Analysis etc. Deep Expertise on AWS/AZURE Cloud Services (certification Preferred). Anyone Cloud is preferred. Architect effective, scalable, and easy-to-understand dashboards and reporting solutions to identify useful and practical insights for the HR team and business leaders Be a data storyteller - Produce concise, story-driven reports and/or presentations to communicate analytic insights. Utilize Deep expertise in building product ready dashboards utilizing Power Bi and Tableau as the key BI tools. Should have 2-3 years building dashboards as key skill. Be capable of developing new KPIs, metrices and derive strategical insights. Excellent communication skills and ability to translate the business problem into an analytical problem. Cultivate and maintain strong relationships with clients , Understanding their unique challenges and objectives. Should be able to discuss key requirements from clients and navigate towards solutioning it. Should be able to manage Project Teams in terms of guiding the Analysts, Associates to design the desired solution and should be able to work on time bound deliverables. Proficient in engaging and collaborating with diverse onshore/offshore teams, demonstrating self-motivation and the ability to navigate and adapt within an agile environment. Capable of taking initiative and adjusting project course as necessary Use mathematical concepts, statistical analysis, experience, and industry knowledge to resolve complex issues creatively and effectively. Design and execute regular and ad-hoc reporting on key HR metrics, offering actionable insights to guide strategic HR decisions. Assist in creating communication materials and PPT presentations to support analysis, implementation of programs, or strategic initiatives updates. Should have good exposure on building ready to be used decks for different client engagements. Professional & Technical Skills: Overall 5+ years experience in Analytics domain with 2-3 years in people/Human analytics or relevant domain Strong understanding of People function, people metrics, talent management processes, and organizational dynamics. Excellent problem-solving skills and the ability to convert complex data into actionable insights. Strong communication skills to convey insights and recommendations to both technical and non-technical audiences. Leadership experience, with a track record of effectively managing high visibility analytics projects. Experience with predictive analytics, machine learning, or statistical modeling is a plus. Additional Information: PySpark/PyTorch framework exposure would be a bonus . Knowledge towards Data Governance, Cloud Integrations, Change Management, Big Data Technologies etc. is appreciated. Html 5/js skills are a bonus. Optimization Theory and People Analytics Consulting Experience Preferred. About Our Company | Accenture (do not remove the hyperlink)Qualification Experience: Minimum 5 years of experience is required (with 2-3 years in People/Human Analytics) Educational Qualification: Masters degree in Economics / Statistics / Mathematics/ Engineering or related Analytics discipline from a premier institute