1143 Statistical Modeling Jobs - Page 20

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.

Greetings, We are hiring for Senior Data Scientist in Bengaluru. As a Senior Data Scientist, you will focus on developing and implementing advanced data science and machine learning models to support our clients business needs. This role emphasizes hands-on technical work and collaboration with other data scientists and engineers, while working independently toward defined goals . You will play a key role in creating data solutions while contributing to our collective knowledge and innovation efforts. Key Responsibilities Data Science & Model Development: Data Preparation & Feature Engineering: Model Evaluation and Tuning: NLP & Advanced Frameworks: Collaboration & Communication: API Development & Integration: Continuous Learning & Improvement: Required Candidate Profile Qualification : Bachelor's or Master's degree in a relevant field (Computer Science, Data Science, Statistics etc.). Experience : 3+ years of experience in data science and machine learning. Programming & Tools : Proficient in Python, Git, and coding IDEs like VS Code or PyCharm. Machine Learning & Deep Learning : Strong knowledge of traditional machine learning algorithms, deep learning, and advanced hyper-parameter tuning. NLP : Proficiency with NLP techniques and experience with NLP projects on production. LLM Finetuning and Quantization Experience with Edge Deployment MLOps & Deployment : Experience with MLOps basics, containerization tools (Docker, Kubernetes), and cloud platforms (AWS, Azure, Google Cloud). To Discuss further on the role kindly reach out to our expert HR's *Ayushi 8602279217 Warm Regards, Prajit Grover HR TEAM KVC CONSULTANTS LTD.

As a global leader in animal health, we are dedicated to innovation and delivering products and services to prevent and treat disease in farm animals and pets. We re driven by our vision of Food and Companionship Enriching Life and our approach to sustainability - the Elanco Healthy Purpose - to advance the health of animals, people, the planet and our enterprise. Making animals lives better makes life better - join our team today! Responsibilities: This role supports the needs of the Global Analytics & Insights team, part of the Corporate Strategy Team, with a focus on providing Advanced Analytics (to include statistical modeling, regression analyses, market basket, churn modelling methods) to work on program/promotion design and ROI post program. Additional project-based work around price elasticity, mixed market modelling, segmentation, game theory modelling and predictive analytics (e. g. , customer lifetime value) will be in scope. The overarching goal of all work will be to find efficiencies in current promotional spend and optimize future business activities This position is responsible for managing all aspects of project-based analyses including data preparation, analysis design and implementation using appropriate methods. Collaboration with Strategic Analytics and Descriptive Analytics team members to provide data-driven insights and influence promotional effectiveness to drive optimal business outcomes. Participation in readout and review with internal customers. Consistent, constant alignment with all members of team in Greenfield, Indiana. Maintain an environment open to change and innovation, recognizing improvements in existing tools and anticipating new technologies to deliver world class analytics and maximize effectiveness Minimum Qualification (education, experience and/or training, required certifications): Bachelor s Degree in quantitative or management field. (Master s preferred) 4+ years of experience in Data Science, Commercial Effectiveness. Expertise in statistical modelling techniques - A/B testing, regression, clustering, classification, decision trees, forecasting. Knowledge of probability models, market basket, churn modelling, segmentation and customer analytics. Advanced skills in Python, R and advanced excel. Proven analytical/problem solving skills with strong learning agility. Additional Skills Experience with Tableau, SQL. Experience with Azure ML & Model Deployment Experience with GitHub Excellent written and verbal communication Demonstrated excellence in Power Point and storyboarding. Project management experience across multiple business functions Additional Information: Travel Percentage: 0-10% Elanco is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status

Job Overview This position supports organizational strategy and operations through design and statistical analysis of business initiatives and experiments. Works with business partners to understand what the business needs and issues are to address. Applies advanced knowledge of statistics and data mining (e.g., predictive modeling, simulation) or other mathematical techniques to recognize patterns and create insights from business data. Designs, develops, and evaluates statistical and predictive models that lead to business solutions. Serves as lead statistician for the unit, providing expertise, oversight and guidance on statistical analysis efforts. Communicates findings and recommendations to management across different departments. Supports implementation efforts Experience & Education: Total experience of 10-15 years (relevant Analytics experience at least : 8 years and minimum of 3-4 Years As manager handling Team directly.) Industry Experience and knowledge especially in Manufacturing/ Operations Functions in a energy sector, automotive, Manufacturing, Process or Pharma preferred. Bachelors degree in data science, Computer science, Electrical Engineering, Applied Statistics, or Physics with 12+ years of relevant work experience in Data Science, Artificial Intelligence or Machine Learning algorithm development Master’s degree in data science, Computer science, Electrical Engineering, Applied Statistics, or Physics with 10+ years of relevant work experience in Data Science, Artificial Intelligence or Machine Learning algorithm development. PhD degree in Data Science, Computer science, Electrical Engineering, Applied Statistics, or Physics with 8+ years of relevant work experience in in Data Science, Artificial Intelligence or Machine Learning algorithm development Essential Responsibilities: Statistical Analyis & Model Development Works with business partners to identify and scope new opportunities for statistical analysis applications to evaluate business performance and to support business decisions. Works internally and with I/S and Enterprise Data Management to define, secure and prepare datasets for statistical modeling. Explores data using a variety of statistical (e.g., data mining, regression, cluster analysis) techniques to answer business questions or guide future model development. Builds programs for running statistical tests on data and for understanding correlation of various attributes. Builds hypotheses, identifies research data attributes and determines best approach to address business issues. Working with business partners, leads development of experimental design for business initiatives. Applies advanced statistical techniques, including analysis of variance, t-tests, factor analysis, regression and multivariate analyses or simulation, to analyze the effects of business initiatives. Builds predictive models (e.g., logistic regression, generalized linear models) as appropriate to support business partner objectives. Builds and deploys computer vision models (e.g., image classification, object detection, segmentation) to meet business needs. Prepares testing scenarios and tests model performance. Incorporates findings and provides insights as part of model development and enhancement. Provides guidance and direction related to statistical analysis to less experienced Data Science & Analytics staff as needed. Provides peer review related to analytics methods and results. Responsible for advanced analytics, including experimental design and analysis, for the most complex business experiments. Model Consultation, Implementation, & Communication Serves as statistical expert within the unit as well as in consultation to various areas of the business, to support design and analysis of business experiments. Leads analytics projects or components related to large, complex business initiatives. Prepare recommendations and findings for business partners. Works with research and analytics staff and other areas of the business on model application and implementation. Effectively communicates and delivers statistical and predictive model results to business partners, supporting socialization and adoption of analysis results into business activities and decisions. Assists with knowledge transfer and training to business areas regarding new analytics applications as part of implementation process. Works closely with business stakeholders to identify and answer critical questions. Assists in development of standard analytical approaches and methodologies for the department. Provides knowledge transfer and training on new modeling and statistical analysis tools and methodologies to less experienced staff. Industry Research Researches and maintains awareness of industry best practices and business strategies. Proactively brings in new and innovative ideas and approaches to develop business solutions. Researches and leverages new statistical techniques and technologies to apply in their statistical research work. Required Skills/Competencies: Minimum of 8+ years of Handson experience in advanced Machine Learning & Deep Learning techniques and algorithms such as Decision Trees, Random Forests, SVMs, Regression, Clustering, Neural Networks, CNNs, RNNs, LSTMs, Transformers, etc. 6+ years of experience in experience in statistical computer languages (Python, PySpark etc.) to manipulate data and draw insights from large data sets 5+ years of experience in Cloud platforms like AWS with specific experience of leveraging AWS services and deploying AI / ML models on these platforms Experience in DL frameworks such as TensorFlow, Keras or PyTorch Familiarity with business intelligence tools (e.g. Qlikview) and data frameworks will be an added advantage. Proficient with programming languages and statistical software tools (Python, SAS, R, JMP or similar), relational databases (SQL server), data analysis and visualization software (preferably PowerBI, SAS). Experienced with standard data science and machine learning packages such as Numpy, Pandas, Matplotlib, seaborn, bokeh, plotly Have solid understanding of the machine learning model stack (regression, classification, neural networks, time series) and packages (Scikit learn, Xgboost, Keras, Pytorch, Tensorflow, statsmodels) Have solid understanding of the machine learning model tradeoffs such as hyper-parameter tuning, regularization, cross-validation, skewness in data, dimensionality reduction, and complexity vs interpretability. Knowledge of and experience with utilizing advanced descriptive statistics and analysis techniques (such as forecasting, analysis of variance, t-tests, categorical data analysis, nonparametric data analysis, cluster analysis, factor analysis and multivariate statistical analysis) design business experiments and measure the impact of business actions. Handson experience in statistical and data science techniques Knowledge and experience in developing and deploying Gen AI Solution. Strong communication skills to work with groups, and experience with communicating business implications of complex data relationships and results of statistical models to multiple business partners. Strong self-direction, initiative, and ability to prioritize multiple tasks from various requestors, demonstrated ability to manage multi-faceted projects Excellent Technical Presentation Skills Leadership & Soft skills: Lead by example on values and culture. Open-minded, collaborative and an effective team player. Ability to work in a multicultural and diverse team. Driven for success and aspiring to a culture of service excellence, always putting the customer, our people and our business at the center of everything he/she does. Ability to deal with ambiguity. Ability to communicate openly and effectively with many diverse stakeholders, with external vendors and auditors, and with staff. Ability to work proactively and under pressure considering the criticality required to ensure the right quality of service for the business.

Skill required: Delivery - Data Wrangling Designation: I&F Decision Sci Practitioner Sr Analyst Qualifications: Any Graduation Years of Experience: 5 to 8 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do Design, develop, and adapt data wrangling tools & techniques to explore, transform, map & discover data patterns, and garner business insights. It is the process of transforming and mapping data from one raw data form into another format. What are we looking for Marketing Data Wrangler 4 + years designing and implementing large scale data loading, manipulation, processing solutions Experience working in CPG/Retail/Beauty industries High proficiency in data integration package High proficiency in Snowflake/GCP Experience in streaming integration development Cloud development experience (e.g., AWS, Azure) Strong proficiency in SQL Able to design and implement relational data models Good understanding of DevOps and Agile way of working Eagerness to contribute to a team-oriented environment Ability to work creatively and analytically in a problem-solving environment Excellent leadership, communication (written and oral) and interpersonal skills Roles and Responsibilities: Work in interdisciplinary teams that combine technical, business, visualization, and data science competencies Design and implement solutions around data warehouse implementation ranging from architecture, ETL processes, multidimensional modelling, and data marts implementation Integrate datasets and dataflows using a variety of best-in-class software as well as profile and analyze large and complex datasets from disparate sources Develop scheduling scripts or configure load schedules Design and run unit tests Perform bug diagnosis and fix Migrate code between development and test environments Participate in support of the development environment Self-started who can adapt to change in technology independently Qualification Any Graduation

Entity:- Accenture Strategy & Consulting Team:- Global Network Data & AI Practice:- S&C GN AI - Insurance Title:- Decision Science Specialist Job location:- Anywhere in India About S&C - Global Network:- Accenture Global Network Insurance Data & AI Practice helps our clients grow their business in entirely new ways. From strategy to execution, Accenture works with Property & Casualty insurers, Life & Retirement insurers, reinsurers and brokers across the value chain from Underwriting to Claims to Servicing and Enterprise Functions to develop analytic capabilities from accessing and reporting on data to predictive modelling to Generative AI that outperform the competition. We offer deep technical expertise in AI/ML tools, techniques & methods, along with strong strategy & consulting acumen and insurance domain knowledge. Our unique assets & accelerators coupled with diverse insurance insights and capabilities help us bring exceptional value to our clients. WHATS IN IT FOR YOU Accenture Global Network is a unified powerhouse that combines the capabilities of Strategy & Consulting with the force multipliers of Data and Artificial Intelligence. It is central to Accenture's future growth and Accenture is deeply invested in providing individuals with continuous opportunities for learning and growth. Youll be part of a diverse, vibrant, global community, continually pushing the boundaries of business capabilities. Accenture is also ranked 10th* on the 2023 Worlds Best Workplaces list, making it a great place to work. What you would do in this role Help the team architect, design, build, deploy, deliver, and monitor advanced analytics models including GenAI, for different client problems Develop functional aspects of Generative AI pipelines, such as information retrieval, storage techniques, and system optimizations across services for a chosen cloud platform such as Azure or AWS Interface with clients/account team to understand engineering/business problems and translate into analytics problems that shall deliver insights for action and operational improvements consume data from multiple sources and present relevant information in a crisp and digestible manner that delivers valuable insights to both technical and non-technical audiencesQualification Who we are looking for 5+ years experience in data-driven techniques including exploratory data analysis, data pre-processing, machine learning, and visualization to solve business problems Bachelor's/Masters degree in Mathematics, Statistics, Economics , Computer Science, or related field Solid foundation in Statistical Modeling, Machine Learning algorithms Advanced proficiency in programming languages such as Python, PySpark, SQL, Scala Experience implementing AI solutions for Insurance industry Experience in production-grade integration of AI/ML pipelines either upstream (data modeling, engineering, management) or downstream (ML Ops in cloud or on-prem, UI integration with APIs, Visualization in Tableau/PowerBI) required; experience in full-stack implementations preferred Strong communication, collaboration and presentation skills to effectively convey complex data insights and recommendations to clients and stakeholders Hands-on experience with Azure, AWS or Databricks tools is a plus Familiarity with GenAI, LLMs, RAG architecture and Lang chain frameworks is a plus

Entity:- Accenture Strategy & Consulting Team:- Global Network Data & AI Practice:- S&C GN AI - Insurance Title:- Decision Science Specialist Job location:- Anywhere in India About S&C - Global Network:- Accenture Global Network Insurance Data & AI Practice helps our clients grow their business in entirely new ways. From strategy to execution, Accenture works with Property & Casualty insurers, Life & Retirement insurers, reinsurers and brokers across the value chain from Underwriting to Claims to Servicing and Enterprise Functions to develop analytic capabilities from accessing and reporting on data to predictive modelling to Generative AI that outperform the competition. We offer deep technical expertise in AI/ML tools, techniques & methods, along with strong strategy & consulting acumen and insurance domain knowledge. Our unique assets & accelerators coupled with diverse insurance insights and capabilities help us bring exceptional value to our clients. WHATS IN IT FOR YOU Accenture Global Network is a unified powerhouse that combines the capabilities of Strategy & Consulting with the force multipliers of Data and Artificial Intelligence. It is central to Accenture's future growth and Accenture is deeply invested in providing individuals with continuous opportunities for learning and growth. Youll be part of a diverse, vibrant, global community, continually pushing the boundaries of business capabilities. Accenture is also ranked 10th* on the 2023 Worlds Best Workplaces list, making it a great place to work. What you would do in this role Help the team architect, design, build, deploy, deliver, and monitor advanced analytics models including GenAI, for different client problems Develop functional aspects of Generative AI pipelines, such as information retrieval, storage techniques, and system optimizations across services for a chosen cloud platform such as Azure or AWS Interface with clients/account team to understand engineering/business problems and translate into analytics problems that shall deliver insights for action and operational improvements consume data from multiple sources and present relevant information in a crisp and digestible manner that delivers valuable insights to both technical and non-technical audiencesQualification Who we are looking for 5+ years experience in data-driven techniques including exploratory data analysis, data pre-processing, machine learning, and visualization to solve business problems Bachelor's/Masters degree in Mathematics, Statistics, Economics , Computer Science, or related field Solid foundation in Statistical Modeling, Machine Learning algorithms Advanced proficiency in programming languages such as Python, PySpark, SQL, Scala Experience implementing AI solutions for Insurance industry Experience in production-grade integration of AI/ML pipelines either upstream (data modeling, engineering, management) or downstream (ML Ops in cloud or on-prem, UI integration with APIs, Visualization in Tableau/PowerBI) required; experience in full-stack implementations preferred Strong communication, collaboration and presentation skills to effectively convey complex data insights and recommendations to clients and stakeholders Hands-on experience with Azure, AWS or Databricks tools is a plus Familiarity with GenAI, LLMs, RAG architecture and Lang chain frameworks is a plus

Entity :- Accenture Strategy & Consulting Team :- Global Network - Data & AI Practice :- Marketing Analytics Title :- Level 09 Ind & Func AI Decision Science Consultant Job location :- Gurgaon / Bangalore / Mumbai About Strategy & Consulting Global Network :- Accenture S&C Global Network - Data & AI practice help our clients grow their business in entirely new ways.Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. WHATS IN IT FOR YOU As part of our Analytics 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. Accenture will continually invest in your learning and growth. You'll work with MMM experts, and Accenture will support you in growing your own tech stack and certificationsQualification What you would do in this role Working through the phases of project Define data requirements for creating a model and understand the business problem Clean, aggregate, analyze, interpret data and carry out quality analysis of it 3+ years of experience of Market Mix Modeling and related concepts of optimizing promotional channels and budget allocation Experience in working with nonlinear optimization techniques. Proficiency in Statistical and Probabilistic methods such as SVM, Decision-Trees, Bagging and Boosting Techniques, Clustering Hands on experience in python data-science and math packages such as NumPy, Pandas, Sklearn, Seaborne, Pycaret, Matplotlib Development of AI/ML models Develop and Manage data pipelines Develop and Manage Data within different layers of Snowflake 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 marketing mix models. Working along with the team and consultant/manager Looking for insight and creating a presentation to demonstrate these insights Supporting development and maintenance of proprietary marketing techniques and other knowledge development projects Basic level of task management knowledge and experience. Should be able to plan own tasks, discuss and work on priorities, track and report progress Who we are looking for 3+ years for consultant of work experience in consulting/analytics with reputed organization is desirable Master degree in Statistics/Econometrics/ Economics or B Tech/M Tech or Masters/M Tech in Computer Science or M.Phil/Ph.D in statistics/econometrics or related field from reputed college Must have knowledge of SQL language and at-least one cloud-based technologies (Azure, AWS, GCP) Must have good knowledge of Market mix modeling techniques and optimization algorithms and applicability to industry data Must have data migration experience from cloud to snowflake (Azure, GCP, AWS) Managing sets of XML, JSON, and CSV from disparate sources. 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, Java, SQL, Spark etc. Working knowledge in Machine Learning algorithms like Random Forest, Gradient Boosting, Neural Network etc. Proficient in Excel, MS word, PowerPoint, etc. Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

Greetings from Access Healthcare Services, We have an excellent opportunity for an Data Scientist. Shifts : General Job Location : Ambattur Estate, Chennai Eligibility Criteria : Bachelors / masters degree in computer science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field 5 to 10 years of experience, with a proven track record of solving complex business problems using data. Certifications in Data Science, Machine Learning, or AI platforms ( preferred) Competency Requirement (Technical & Behavioral): Proficiency in Python or R for data analysis and model building. Strong knowledge of SQL for data extraction and manipulation. Experience with machine learning algorithms (regression, classification, clustering, etc.) Familiarity with data visualization tools like Tableau, Power BI Strong analytical and problem-solving skills Excellent communication and storytelling abilities to present complex data in a clear and concise manner Ability to work both independently and collaboratively in cross-functional teams Capacity to handle change, stay open to different ideas, support positive changes. Very high in Integrity and should be attentive to detail. Should be self- motivated and agile Should be able to influence and inspire Teams at all levels of the organization Roles & Responsibilities: Work closely with business, product, BEX & SQ teams to understand requirements Gather structured and unstructured data from multiple sources Clean and transform data to ensure quality and consistency Perform statistical analysis to identify trends, correlations, and anomalies. Use visualization tools to communicate data patterns and insights Design, build, and validate predictive models wherever required Select appropriate techniques based on problem type for ex regression Translate complex data findings into actionable business insights Develop reports, and visualizations to communicate results effectively to non- technical stakeholders Design and run experiments to test hypotheses and measure the impact of business decisions. Analyze test results and suggest next steps or optimizations. Stay updated with the latest trends, tools, and technologies in data science and machine learning. Interested candidates, Please share your resume to nandhinik.outsource@accesshealthcare.com Note: - Please share the above requirement with your friends.

Project Role : Application Support Engineer Project Role Description : Act as software detectives, provide a dynamic service identifying and solving issues within multiple components of critical business systems. Must have skills : OpenShift Virtualization Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Support Engineer, you will act as software detectives, providing a dynamic service that identifies and resolves issues within various components of critical business systems. Your typical day will involve collaborating with team members to troubleshoot problems, analyzing system performance, and ensuring the smooth operation of applications that are vital to business functions. You will engage with stakeholders to understand their needs and provide timely solutions, contributing to the overall efficiency and effectiveness of the organization. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the development and implementation of best practices for application support.- Provide training and guidance to junior team members on troubleshooting techniques. Professional & Technical Skills: - Must To Have Skills: Proficiency in OpenShift Virtualization.- Good To Have Skills: Experience with Kubernetes and container orchestration.- Strong understanding of cloud infrastructure and deployment models.- Familiarity with monitoring tools and performance tuning.- Experience in scripting languages for automation tasks. Additional Information:- The candidate should have minimum 3 years of experience in OpenShift Virtualization.- This position is based at our Gurugram office.- A 15 years full time education is required. Qualification 15 years full time education

Entity :- Accenture Strategy & Consulting Team :- Strategy & Consulting Global Network Practice :- Marketing analytics Title :- Analyst/Consultant Job location :- Gurgaon About S&C - Global Network :- Accenture Applied Intelligence practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. 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. 3+ years of experience in Data Driven Merchandizing which involves work experience in 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 Working along with the team and consultant/manager Well versed with creating insights presentations and client ready decks. Should be able to mentor and guide junior resources. Should have strong communication skills. 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. Basic level of task management knowledge and experience. Should be able to plan own tasks, discuss and work on priorities, track, and report progress. Qualification Who we are looking for Analyst with 2+ years & Consultant with 4+ years of work experience in consulting/analytics with a reputed organization. Master degree in Statistics/Econometrics/ Economics or B Tech/M Tech or Masters/M Tech in Computer Science or M.Phil/Ph.D in statistics/econometrics or related field from reputed college Must have knowledge of SQL, R & 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 communication. Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Data Analytics Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various stakeholders to gather requirements, overseeing the development process, and ensuring that the applications meet the specified needs. You will also engage in problem-solving discussions with your team, providing guidance and support to ensure successful project outcomes. Your role will require you to stay updated with industry trends and best practices to enhance application performance and user experience. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Facilitate communication between technical teams and stakeholders to ensure alignment on project goals.- Mentor junior team members, providing them with guidance and support in their professional development. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Analytics.- Good To Have Skills: Experience with data visualization tools such as Tableau or Power BI.- Strong understanding of statistical analysis and machine learning algorithms.- Hands-on experience with data cleaning, transformation, and normalization techniques.- Ability to interpret complex data sets and provide actionable insights. Additional Information:- The candidate should have minimum 3 years of experience in Data Analytics.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Salary : 30 to 45 LPA Exp: 6 to 10 years Location :Hyderabad (Hybrid) Notice: Immediate to 30 days..!! Roles & responsibilities: 5+ years exp on Python , ML and Banking model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 5+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Create experiments and prototype implementations of new learning algorithms and prediction techniques Collaborate with product managers, and stockholders to design and implement software solutions for science problems Use machine learning best practices to ensure a high standard of quality for all of the team deliverables Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization Hands-on experience with IFRS 9 models and regulations. Data Analysis: Analyze large datasets to identify trends and risk factors, ensuring data quality and integrity. Statistical Analysis: Utilize advanced statistical methods to build robust models, leveraging expertise in R programming. Collaboration: Work closely with data scientists, business analysts, and other stakeholders to align models with business needs. Continuous Improvement: Stay updated with the latest methodologies and tools in credit risk modeling and R programming.

Data Scientist Purpose This position will help us discover the information hidden in vast amounts of data and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. In Cotiviti, you will solve some of the most pressing Healthcare issues with access to an expansive library of data including claims, membership and demographics. You will work on building value-oriented, production level machine learning solutions in Healthcare Technology. This position will require applying your knowledge and experience to real world problems and seek to utilize Artificial Intelligence and Machine Learning to reduce healthcare costs and improve health quality and outcomes. Job Responsibilities 1. Engage with customers to identify opportunities to integrate data/insights into decision-making 2. Understand and translate business requirements from internal and external stakeholders into data product and features 3. Processing, cleansing, and verifying the integrity of data used for analysis 4. Conduct exploratory data analysis to verify the initial hypothesis associated with potential AI/ML use cases 5. Prepare your final trained model and develop a validation test set for QA 6. Work with production operations to deploy your model and monitoring model performance 7. Apply statistical methodology to solve business problems; appropriately interprets meaning from results 8. Contribute to data product discovery by developing business case analytics, user stories, conducting exploratory analyses, and prototyping ideas / analytics 9. Prepare project documentation, and conduct end user training 10. Conduct on-demand analyses to support key internal and client-facing deliverables 11. Cultivate and share best practices in structured problem solving and quantitative/qualitative analysis 12. Complete all responsibilities as outlined on annual Performance Plan Attributes And Behaviors 1. Develops and maintains positive working relationships with others 2. Shares ideas and information 3. Assists colleagues unprompted 4. Takes pride in the achievement of team objectives 5. Has credibility with team and senior managers 6. Self-motivated driven to achieve results 7. Works with a sense of urgency 8. High customer service ethic is passionate about meeting customer expectations 9. Keeps pace with change acquires knowledge/skills as the business evolves 10. Handles confidential information with sensitivity 11. Thinks for the benefit of the organization and team 12. Demonstrates independent thinking and comes up with approaches on different aspect of work 13. Is a role model for the team 14. Is a subject matter expert of the associated domain 15. Exhibits behaviors consistent with Cotiviti Values: a. Open b. Customer Driven c. Accountable d. Collaborative Relevant Experience & Educational Requirements 1. Bachelors or Masters degree in data/analytics, computer science, engineering, economics, mathematics or statistics 2. 4+ years’ experience building and deploying Machine learning models 3. 4+ years’ experience in working in Big Data environments 4. Experience in using machine learning tools to develop production strength models including, but not limited to, Python, TensorFlow, Keras, pandas, numpy, scikit-learn 5. Experience in healthcare analytics, consulting, technology/services, product development, or other relevant role will be an advantage 6. Deep understanding of supervised and unsupervised algorithms 7. Experience extracting and transforming source data using SQL, spark, scala, hive, impala 8. Ability to package insights in highly consumable and flexible formats for a variety of audiences 9. Ability to work well independently and with cross-functional, matrixed teams in an agile environment 10. Ability to handle multiple tasks, prioritize and meet deadlines

Data Scientist KLA is seeking a Data Scientist/ML Engineer with expertise in NLP, statistics, and Conversational AI. This role is ideal for a professional adept at statistical modeling, machine learning algorithms, and conversational AI , with a passion for discovering solutions hidden in large datasets and collaborating with business partners to improve outcomes. Responsibilities Build end-to-end ML systems (including traditional ML models and Conversational AI) and deploy them to operate at scale. Research and devise innovative statistical models/ML models for data analysis. Develop and maintain Retrieval-Augmented Generation (RAG) applications . Implement changes to algorithms to improve AI performance and retrieval techniques. Use predictive modeling to increase and optimize customer service experience and supply chain optimization. Identify patterns in data using statistical modeling , develop custom data models and algorithms to apply to datasets. Work with business partners throughout the organization to find opportunities for using company data to drive solutions. Work with project managers to establish objectives for AI systems. Skills Strong experience using a variety of data mining/machine learning methods , using/coding algorithms, and running simulations. 2+ years of experience in Python and ML packages (NumPy, Keras, Seaborn, Scikit-learn). Excellent understanding of machine learning techniques and algorithms such as Regression models, kNN, SVM, Naive Bayes, and Decision Trees. Expertise/Familiarity with one or more deep learning frameworks such as TensorFlow, PyTorch. Experience solving problems with Conversational AI in a production environment for a High-tech Manufacturing Industry. Qualifications Bachelor's degree (or equivalent) in Computer Science, Statistics, Applied Mathematics, or a related discipline.

Staff Engineer/Tech Lead AI/ML [ Natural Language Processing, Transformers, Gen AI, LLM, Neural Networks] The Opportunity As a Staff Engineer (MTS-6) , you will own the architecture and AI/ML systems that power both log and metrics analysis , enabling automated diagnostics and reducing triage time for QA failures, regression runs, and customer issues. Youll also help define and drive the central AI charter at Nutanix, building reusable components, model infrastructure, and scalable ML services. About the Team The Panacea team has a passionate set of engineers across India and US office. We move fast, collaborate closely, and care deeply about quality and ownership. Our mission is to deliver AI/ML-powered developer productivity tools that solve real engineering and support pain points at scale. Why Join Us Build AI-first observability tools that redefine how engineers triage and troubleshoot. Own systems that reduce hours of manual work in engineering and SRE workflows . Collaborate with a tight-knit team of high-ownership engineers who are passionate about impact and innovation. Hybrid work model that supports flexibility and deep focus. Help shape the central AI charter at Nutanix and influence future AI products across the company. Your Role AI-Powered Observability Platform : Own the vision, architecture, and delivery of Panaceas ML-based log and metrics analyzer that reduces triage time and improves engineering efficiency. AI/ML-powered Log Analyzer Tool : Use deep learning (e.g., ModernBERT ) to represent log messages, detect anomalies, group patterns, and surface actionable insights to users. Metrics Anomaly Detection Engine : Build robust ML models to detect anomalies in time-series metrics like CPU, memory, disk I/O, network traffic, service health , and moreautomatically identifying performance degradation or system regressions across distributed environments. Auto-RCA Engine : Combine log and metrics signals with graph-based correlation and LLM-powered summarization to automatically diagnose the root cause of system failures. Feedback Loop & Continuous Learning : Build infrastructure for incorporating user feedback to continuously retrain and improve anomaly detection systems. LLM Integration : Integrate LLMs for user queries, problem summarization, anomaly explanation, and contextual recommendations. Central AI Charter : Contribute to Nutanixs foundational AI platform by defining shared tooling, datasets, governance, and reusable ML components across products. Responsibilities Architect and scale ML pipelines for real-time and batch-based anomaly detection in both logs and time-series metrics. Build and fine-tune ModernBERT and other transformer-based models for log understanding, anomaly classification, and summarization. Develop unsupervised and semi-supervised ML models for detecting anomalies in system metrics (CPU, memory, network throughput, latency, etc.). Implement correlation models to connect anomalies across logs and metrics to form a cohesive RCA narrative. Own the entire ML lifecycle: data ingestion, feature extraction, model training, evaluation, deployment, and monitoring. Build explainable AI systems that increase adoption and trust within engineering, QA, and support teams. Collaborate with cross-functional stakeholders (SRE, QA, Dev) to deeply understand pain points and translate them into intelligent tooling. Drive technical excellence through code and design reviews, mentoring, and setting engineering best practices. What You Will Bring Educational Background : B.Tech/M.Tech in Computer Science, Machine Learning, AI, or related fields. Experience : 12+ years of engineering experience , including designing , developing and deploying AI/ML systems at scale. ML Expertise : Strong in time-series anomaly detection, statistical modeling, supervised/unsupervised learning. Experience building ML models for metrics data (CPU, memory, IOPS, network, etc.) using models like Isolation Forest, Prophet, LSTM, or deep autoencoders. Expertise in NLP using ModernBERT, BERT, or log classification, clustering, and summarization. Experience with LLMs for downstream tasks like summarization, root cause reasoning, or intelligent Q&A. Engineering Skills : Strong Python background, hands-on with ML libraries (PyTorch, TensorFlow, Scikit-learn), time-series frameworks, and MLOps tools. Familiar with data pipelines and serving models. Observability Knowledge : Hands-on with logs, metrics, traces, and popular monitoring tools (e.g., Prometheus, Grafana, ELK). Leadership : Ability to independently drive projects from requirements to delivery, mentor junior engineers, and deliver business impact. Work Arrangement Hybrid: This role operates in a hybrid capacity, blending the benefits of remote work with the advantages of in-person collaboration. For most roles, that will mean coming into an office a minimum of 2 - 3 days per week, however certain roles and/or teams may require more frequent in-office presence. Additional team-specific guidance and norms will be provided by your manager.

Bumppy Media Pvt Ltd 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

Greetings From EY. We are Hiring Demand Planner for one of our clients. Interested candidates can share resume on Megha.Mukundan@in.ey.com Role - Demand Planner Location - Pune Work Mode - Hybrid Shift - UK Contract Period - 1 Year (will convert or extend based on the performance) (Candidates getting hired for this position on EY Payroll) Job Description Develop and maintain accurate demand forecasts using historical sales data, market trends, and statistical models within our global Planning tool Kinaxis Maestro. This includes appropriately cleansing historical events, running robust statistical modelling, and deciding what is appropriate Intelligence to add looking forward. Provide insights on demand trends, seasonality, and risks to improve planning accuracy. Support the Sales & Operations Planning (S&OP) process by presenting the updated demand insights along with key changes to assumptions, working with the PU S&OP Manager Participate and provide relevant inputs in the weekly S&OE & monthly S&OP meetings Experience 8-10 years of experience in demand planning or related role in consumer goods, food & beverage, or manufacturing industries. Proven experience as a Demand Planner using an advanced digital Planning tool, desirably Kinaxis Maestro Strong analytical skills and proficiency in supply chain software ( Kinaxis Maestro highly desirable) and ERP systems (SAP ECC, S4 Hana, JDE) Strong communication skills both written and verbal with the ability to work effectively with Commercial and Sales teams based in other countries Requirements Bachelors degree in supply chain management, Logistics, Business, or a related field (masters preferred). Willingness to work in the morning shift (7 am to 4 pm IST) Regards, Megha Mukundan

Description: We are looking for a highly skilled Data Scientist to join our AI Center of Excellence (CoE) in Pune. This role involves working on complex financial datasets, building machine learning models, and delivering data-driven insights that support business decisions and product innovation. The ideal candidate should be hands-on, analytical, and passionate about solving real-world problems through data. Requirements: Required Skills & Experience: 4–6 years of proven experience in Data Science, preferably in the finance or FinTech industry. Strong coding skills in Python, R, and SQL. Experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch. Solid foundation in statistical modeling, data analysis, and deep learning. Familiarity with cloud platforms like AWS, Azure, or GCP. Proficiency in data visualization tools such as Power BI, Tableau, or Matplotlib. Excellent communication skills to effectively present data-driven insights. Preferred Qualifications: Master’s or Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field. Exposure to NLP, generative AI, or large language models. Experience with MLOps practices for deploying and monitoring models. This position is based in Pune and requires immediate joining. Hybrid or in-office availability is expected based on project needs. Job Responsibilities: Key Responsibilities: Analyze large-scale financial datasets to extract meaningful insights and trends. Develop and deploy machine learning models for predictive analytics and decision support. Translate business challenges into data science problems and propose appropriate solutions. Collaborate with product and business teams to build and implement data-driven features and tools. Communicate analytical findings clearly through visualizations and presentations for non-technical stakeholders. Continuously explore and adopt emerging tools, techniques, and best practices in AI/ML. What We Offer: Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them. Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities! Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays. Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training(GL Vantage, Toast Master),Stress Management program, professional certifications, and technical and soft skill trainings. Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Group Term Life Insurance, Group Personal Accident Insurance , NPS(National Pension Scheme ), Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses. Fun Perks: We want you to love where you work, which is why we host sports events, cultural activities, offer food on subsidies rates, Corporate parties. Our vibrant offices also include dedicated GL Zones, rooftop decks and GL Club where you can drink coffee or tea with your colleagues over a game of table and offer discounts for popular stores and restaurants!

Responsibilities: Deliver training on data analyst and data science. Train freshers and working Professionals on data science, data analyst, business analyst, financial analyst. Train teams on data science principles through interactive sessions Annual bonus

Duties and Responsibilities: Large scale data analysis and data mining to come up with portfolio insights for both Retail and WBG portfolio Statistical modeling (ML / regression models) and segmentation thru decision tree to help solving key business problems Help plan and design business processes and make recommendations for improvement Assist in resolving business issues using systems and data Estimate costs and benefits of multiple actions and/or solutions and provide recommendations Help launch new initiatives, campaigns, analytical solutions, along with robust tracking Help in running standard and analytical dashboard/ MIS Requirement: Experience : 6+ years in analytics industry ( Finance / Banking industry preferred ) B Tech/ MBA from premier institute Knowledge of SQL is must with high proficiency Knowledge on statistical model building is must (Logistics regression, Linear regression etc) Knowledge of Python/ R is preferred Knowledge of Statistics Linear Regression, Exploratory Data Analysis, etc. Excellent critical thinking and problem-solving skills Good written and verbal communication skills Detail-oriented with strong organizational skills Location: Mumbai

Key Responsibilities: Work closely with Data Engineers and ML Engineers to ensure data readiness and model deployment. Present findings and insights to stakeholders using visualizations and dashboards. Productionization & Monitoring: Assist in transitioning models from development to production. Monitor model drift and performance over time. Data Exploration & Querying: Use Databricks SQL for querying and analysing data. Document data lineage and ensure reproducibility Exploratory Data Analysis (EDA): Use Databricks Notebooks (Python, R) to explore structured and unstructured data. Perform hypothesis testing and statistical profiling. Feature Engineering : Create and manage features using Databricks Feature Store. Transform raw data into meaningful inputs for models. Model Development & Training: for fraud claims identification, loss prediction modelling . Build and train models using MLlib, scikit-learn, TensorFlow, or PyTorch. Utilize Databricks Runtime for ML for optimized performance. Experiment Tracking & Model Evaluation: Track experiments and model metrics using MLflow . Evaluate model performance using cross-validation and business KPIs. Collaboration & Communication: Required Skills : Strong programming in Python or R Proficiency in machine learning algorithms and statistical methods Experience with big data processing using Spark Familiarity with cloud platforms (AWS, Azure, GCP) Excellent communication and storytelling skills Tools & Technologies Used: Databricks Notebooks Apache Spark (via PySpark or SparkR) MLflow (Tracking, Registry, Deployment) Feature Store Delta Lake Databricks SQL Visualization Tools (e.g., matplotlib, seaborn, Power BI)

Summary -Provide analytics support to Novartis internal customers (CPOs & Regional marketing and sales teams) on various low-medium complexity analytical reports. -Support and facilitate data enabled decision making for Novartis internal customers by providing and communicating qualitative and quantitative analytics. -Support GBS -GCO business in building practice by involving in various initiatives like knowledge sharing, on-boarding and training support, support team lead in all business related tasks / activities, building process documentation and knowledge repositories -To be an integral part of a comprehensive design team responsible for designing promotional marketing materials. About the Role Job Description Key Responsibility: Solid understanding of multiple datasets (e. g. LAAD, Xponent, DDD) and managing and coordinating data sets from databases to find patterns and trends. Redefining these complex and granular data into actionable insights. Responsible for standard and ad-hoc extracts/reports across multiple primary and secondary data sources. Responsible for tracking ongoing outcomes reports and manage priorities for upcoming reports. Sharing findings with partners with reports and presentations on a timely basis. Putting together specifications to extract/transform data into required formats for different analytical elements using programming languages like SQL or other data processing tools. Build the foundation for more sophisticated approaches to APLD analysis and advanced analytics wherever it is required and beneficial. Establish and maintain positive relationships with key functional partners. Essential Requirements : - Ability to work independently and as an integral member of the team and Attention to detail and quality focused, good interpersonal and communication skills, influence, negotiation and tact skills, innovative, and collaborative behaviors and can-do orientation. - Curiosity and strong analytical thinking, verbal and written communication skills and exposure to working in multifunctional/cultural environment. - Good communication and interpersonal skills. Conceptual, analytical & tactical thinking, strategic thought process. - Ability to multi-task, work in a demanding distributed team environment, work under tight deadlines. Develop and maintain strong individual performance. Desirable Requirements : - Masters or Bachelor s in STEM - At least 1+ years of experience in data modeling and reporting solutions development and hands-on experience of APLD and US national and subnational datasets and ability to lead teams functionally. - Technical abilities: Excel, SQL or Dataiku, and PowerPoint is vital. Knowledge of statistical modeling or ML is a plus. Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients lives. Ready to create a brighter future together? https://www. novartis. com / about / strategy / people-and-culture Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork. novartis. com/network Benefits and Rewards: Read our handbook to learn about all the ways we ll help you thrive personally and professionally:

"> Your Role The Data Scientist is responsible for uncovering insights from structured/unstructured data, conducting statistical analyses, and designing ML prototypes to validate feasibility. What You ll Be Doing Clean, transform, and prepare large datasets for analysis Conduct exploratory data analysis and hypothesis testing Build predictive and classification models Support ML engineers by designing feature engineering workflows Present insights to stakeholders through reports and dashboards What We d Love To See 2-5 years in applied analytics or machine learning research Statistical modeling and data experimentation Tools: Python (Pandas, NumPy, Scikit-learn), Power BI/Tableau, SQL Familiarity with Notebooks (Jupyter, Colab) It d Be Great If You Had A/B testing and metric definition What You Can Expect Opportunity to work with a diverse and well-experienced team. To be part of the team who creates phenomenal growth stories for worlds renowned brands. Professional Growth Roadmap. Real-time mentorship and guidance from the leaders. A workplace that invests in your career, cares for you and is fun & engaging. You can be yourself and do amazing work. Benefits Interested in joining our team of artists, geeks, strategizers, and writers? If you re a passionate, talented individual, we want to hear from you. Competitive salary Flexible work-life balance with a 5-day working Policy Paid time off Learning & Development bonus Health coverage Rewards & Recognitions Event & Festivals celebrations Ongoing training programs Onsite opportunities Recognition opportunities for open-source contributions Apply Now Trusted by leading brands

Data ScientistWhat you will be doingUnderstand business problems and translate business requirements into technical requirements.Conduct complex data analysis to ensure data quality & reliability i.e., make the data talk by extracting, preparing, and transforming it.Identify, develop and implement statistical techniques and algorithms to address business challenges and add value to the organization.Gather requirements and communicate finding in the form of a meaningful story with the stakeholders.Build & implement data models using predictive modelling techniquesInteract with clients and provide support for queries and delivery adoption.Lead and mentor data analysts.What we are looking forApart from your love for data and ability to code even while sleeping you would needthe following.Minimum of 3 years of experience in designing and delivery of data science solutions.You should have successful projects of retail / BFSI / FMCG / Manufacturing / QSR in your kitty to show-off.Deep understanding of various statistical techniques, mathematical models, and algorithms to start the conversation with the data in hand.Ability to choose the right model for the data and translate that into a code using R, Python, VBA, SQL, etcDecision Tree, Linear regression, Statistical Modelling, Predictive modellingBachelors/Masters degree in Engineering/Technology or MBA from Tier-1 B School or MSc. in Statistics or Mathematics