Role And Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement recommendations including changes in operational processes, technology or data management - Primary area of focus: PSCM/ VMI business; secondary area of focus: ICS KPI s - Business improvements pre & post (either operational program, algorithm, model or resultant software). Improvements measured in time and/or dollar savings - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : - R or python (Data Cleaning, Statistical and Modelling packages) , SQL, VBA and DAX (PowerBI) - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique Compliance Requirements : - GET has a Business Ethics Policy which provides guidance to all employees in their day-to-day roles as well as helping you and the business comply with the law at all times. The incumbent must read, understand and comply with, at all times, the policy along with all other corresponding policies, procedures and directives. QHSE Responsibilities - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company s, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills - Analytical skills - Negotiation - Convincing skills Key Competencies - Never give up attitude - Flexible - Eye to detail

Overview Provide a dvanced a nalytics support for the LATAM Sector in the Insights Services Center ; a part of the broader Global Business Services function in Hyderabad, India. This role will help to enable a ccelerate d growth for PepsiCo by developing custom descriptive analytics approaches for LATAM to drive deeper understanding of business performance drivers both at the N ational / R egional / State /City level. Primary responsibilities include develop ing/ enhanc ing statistical models to address key business questions associated with Growth Driver Modeling , P ricing, A ssortment, M arket S tructure, I nnovation F orecasting, and C ategory G rowth F orecasts, P ortfolio growth model , Ambition related assignments for the key markets of LATAM . Additionally, this role will also support the consumer insight team by collating learnings from a variety of sources, to help inform the development of future insights strategies for various brands with in Bevareages / Snacks . The role will have short-term responsibilities for knowledge transfer from the Vendors and effective ly establishing business process and communication methods with teams they support ; both are crucial requirements to enabling the organization to deliver answers to on-going business questions Responsibilities Functional Responsibilities: Support delivery of descriptive and predictive analytics as defined by the SLA (Service Level Agreement) within the LATAM Business Service Service Center Execute deep descriptive analytics of business performance and drivers to supplement standard reporting and inform data-driven decisions Identify, assess, and visualize key market share drivers for LATAM Categories, as a growth catalyst to prioritize and enable brand planning across portfolio Support LATAMregion s annual SKU optimization process for the portfolio; analyzing impact by channel, customers and region as needed based on HQ delivered recommendations & targets Advise and share Advanced Analytics models and best practices with Regional Category Managers to leverage and build Advanced Analytics capability. Develop, maintain, and apply statistical models to business questions - including forecasting, price sensitivities/corridors, drivers analysis, market structure, etc. Forecast market growthleveraging (PGM an internal tool) on an annual basis to inform PEP s long-term expectations for growth Collate and format consumer learnings from custom insight outputs, sales performace reporting, industry periodicals, and social listening resources, etc to help inform and develop future consumer insights strategies Provide responsestoad-hoc follow-ups when double-click (additional questions) required with tables/charts for relevant data Support relationships with the key end-user stakeholdersin LATAMand region offices Own flawless execution of analytics exercises Responsible for managing multiple priorities; being able to manage deadlines and deliverables Lead communication withBusiness Partners and potentially end-users on matters such as available capacity, changes of scope of existing projects and planning of future projects Deliver outputs in line with the agreed timelines andformats Flag and monitor any business risks related to delivering the requested outputs Partner with stakeholders and service center leadership to develop and finetune internal COE processes (work-flow mapping, pain-points and bottlenecks management) both related to service delivery and internal center operations Improve existing processes based on frequent Business Partner & end-user feedback loop People and Project Management Responsibilities Leading a team of 4-5 data scientists and modelers Develop new skillsets among team members related to advanced analytics by conducting training and period review Promotes cross functional seamless communication, sharing know how and creating same quality of experience across sector markets Qualifications 10-14 years of experience in the field of analytics Critical experience as Data Scientist and Programming in Python & BI skills, basic statistics like regression, types of distribution, expertise in Nielsen, knowledge of media sufficiency/MMM is good to have Experience either in boutique analytics consulting or Captive analytics teams Have been hands-on modeler in the past specifically in market mix /attribution modeling, CPG domain preferred. Experience in translating business problem into analytics framework and vice versa Experience in leading mid-sized teams of data scientists and modelers Well versed in statistical techniques Educational Background- BE/B TECH/ MSC Economics or Statistics, MBA preferred for Analytics translator High degree of familiarity with CPG and Food & Beverage industry data sources, including Nielsen/IRi (POS and HH panel), Global Data, Kantar Worldpanel, etc. Deep understanding of CPG industry business performance outputs and causal measures, their relationships, and how to address business questions in a robust way that translates to simple outputs Experience with Agile development methods, SQL, R, Python desired Strong collaborator: Interested and motivated by working with others. Actively creates and participates in opportunities to co-create solutions across markets; will be willing and able to embrace Responsive Ways of Working Can easily see how insights/research learning can improve businesses impact and frames up reporting efforts and opportunities to inform business decisions Proven analytics, shopper research experience, or consumer insights experience applying statistics to CPG industry business problems Operational experience from business servicing sector and/or consulting experience would be a plus Language: English Fluent.

The data architect is responsible for designing, creating, and managing an organizations data architecture. This role is critical in establishing a solid foundation for data management within an organization, ensuring that data is organized, accessible, secure, and aligned with business objectives. The data architect designs data models, warehouses, file systems and databases, and defines how data will be collected and organized. Responsibilities Interprets and delivers impactful strategic plans improving data integration, data quality, and data delivery in support of business initiatives and roadmaps Designs the structure and layout of data systems, including databases, warehouses, and lakes Selects and designs database management systems that meet the organizations needs by defining data schemas, optimizing data storage, and establishing data access controls and security measures Defines and implements the long-term technology strategy and innovations roadmaps across analytics, data engineering, and data platforms Designs processes for the ETL process from various sources into the organizations data systems Translates high-level business requirements into data models and appropriate metadata, test data, and data quality standards Manages senior business stakeholders to secure strong engagement and ensures that the delivery of the project aligns with longer-term strategic roadmaps Simplifies the existing data architecture, delivering reusable services and cost-saving opportunities in line with the policies and standards of the company Leads and participates in the peer review and quality assurance of project architectural artifacts across the EA group through governance forums Defines and manages standards, guidelines, and processes to ensure data quality Works with IT teams, business analysts, and data analytics teams to understand data consumers needs and develop solutions Evaluates and recommends emerging technologies for data management, storage, and analytics Design, create, and implement logical and physical data models for both IT and business solutions to capture the structure, relationships, and constraints of relevant datasets Build and operationalize complex data solutions, correct problems, apply transformations, and recommend data cleansing/quality solutions Effectively collaborate and communicate with various stakeholders to understand data and business requirements and translate them into data models Create entity-relationship diagrams (ERDs), data flow diagrams, and other visualization tools to represent data models Collaborate with database administrators and software engineers to implement and maintain data models in databases, data warehouses, and data lakes Develop data modeling best practices, and use these standards to identify and resolve data modeling issues and conflicts Conduct performance tuning and optimization of data models for efficient data access and retrieval Incorporate core data management competencies, including data governance, data security and data quality Job Requirements Education: A bachelors degree in computer science, data science, engineering, or related field Experience: At least five years of relevant experience in design and implementation of data models for enterprise data warehouse initiatives Experience leading projects involving data warehousing, data modeling, and data analysis Design experience in Azure Databricks, PySpark, and Power BI/Tableau Skills: Ability in programming languages such as Java, Python, and C/C++ Ability in data science languages/tools such as SQL, R, SAS, or Excel Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP), real-time data distribution (Kafka, Dataflow), and modern data warehouse tools (Snowflake, Databricks) Experience with database technologies such as SQL, NoSQL, Oracle, Hadoop, or Teradata Understanding of entity-relationship modeling, metadata systems, and data quality tools and techniques Ability to think strategically and relate architectural decisions and recommendations to business needs and client culture Ability to assess traditional and modern data architecture components based on business needs Experience with business intelligence tools and technologies such as ETL, Power BI, and Tableau Ability to regularly learn and adopt new technology, especially in the ML/AI realm Strong analytical and problem-solving skills Ability to synthesize and clearly communicate large volumes of complex information to senior management of various technical understandings Ability to collaborate and excel in complex, cross-functional teams involving data scientists, business analysts, and stakeholders Ability to guide solution design and architecture to meet business needs Expert knowledge of data modeling concepts, methodologies, and best practices Proficiency in data modeling tools such as Erwin or ER/Studio Knowledge of relational databases and database design principles Familiarity with dimensional modeling and data warehousing concepts Strong SQL skills for data querying, manipulation, and optimization, and knowledge of other data science languages, including JavaScript, Python, and R Ability to collaborate with cross-functional teams and stakeholders to gather requirements and align on data models Excellent analytical and problem-solving skills to identify and resolve data modeling issues Strong communication and documentation skills to effectively convey complex data modeling concepts to technical and business stakeholders

About the role: Myntra seeks a highly motivated and customer-centric Planning Analyst to contribute to strategic initiatives focused on enhancing delivery speed, end-to-end planning efficiency, and customer experience optimization. This position is suitable for individuals possessing three to four years of professional experience in supply chain planning or analytics, coupled with a strong commitment to process improvement. The ideal candidate will demonstrate proactive problem-solving abilities, robust analytical skills, and a keen interest in cross-functional collaboration with diverse teams and stakeholders to achieve significant outcomes. Desired Skills and Attributes To excel in this role, you should possess: Analytical Capabilities: Ability to analyze and interpret vast, ambiguous datasets from diverse systems, tools, and spreadsheets. Proficiency in using spreadsheets and R for daily analysis. Strong business and financial acumen to translate data analysis into actionable business narratives. Capability to build and strengthen business/data models through in-depth understanding to identify and pursue opportunities with innovative solutions. Technical Proficiency: Competence in configuring Myntra systems to achieve desired SCM fulfillment outcomes. Soft Skills: Rational decision-making, negotiation, and influencing abilities. Effective teamwork and independent work ethic. Accountability, initiative, integrity, and maturity. Excellent communication and stakeholder management skills. A collaborative and approachable team player. Customer Focus: A customer-first approach to problem-solving. Ability to quantify the risk to customer metrics for any decision or approach. Personal Qualities: Strong self-conviction and passion. Essential Skills and Experience: Around 3 years of experience in project management or a related field. Experience working with both technical and non-technical teams. Proficiency in Excel and SQL. Strong analytical skills and ability to work with data to drive improvements. Excellent communication and organizational skills. Experience with data analysis tools and basic programming languages like R or Python is a plus. Preferred Qualifications: Bachelors degree in Supply Chain, Business, Engineering, Finance, or a related field.

Roles & Responsibilities Building templates, dashboards in Excel / Google Sheet / PowerBI for operational and management reporting Statistical and Analytical Models and methods for data analysis related to customer initiatives & growth hacks including issue diagnosis, problem dissection and tracking of results Running and maintaining the reporting system Data extraction as per business request for Ad hoc analysis Assisting the team in data analysis and mining Business analysis and understanding to highlight key lead indicators Qualifications Strong database concepts and experience in SQL - can convert any business requirement into a SQL statement Expertise in Excel, Power BI Working experience in R, Python, Tableau, Qlikview, Datastudio is a good to have Experience of working in a customer growth/customer analytics role is a plus Quick learner and ability to work in dynamic work environment Team player and comfortable interacting with people from multiple disciplines Experience Bachelors in Engineering, Computer Science, Math, Statistics, or related discipline from a reputed institute or an MBA from a reputed institute 2+ years of experience in working on reporting / business intelligence systems.

Required Skills Data Science Machine Learning Deep Learning Python NLP statistical exp. Experience in Data Modelling R Python SQL Data Science Machine Learning Deep Learning NLP Statistics Have ability to solve Business problems using Data Should possess extensive knowledge of and experience in applying data mining and machine learning techniques on large amount of datasets High level of proficiency in statistical tools like R Python Candidate will be expected to communicate analytical results in a way that is meaningful for business stakeholders and provides actionable insights. Have the ability to discover new opportunities where advanced analytical techniques can be leveraged for solving business problems

Data Science Machine Learning Deep Learning Python NLP statistical exp Roles and responsibilities Experience in Data Modelling RPython SQL Data Science Machine Learning Deep Learning NLP Statistics Have ability to solve Business problems using Data Should possess extensiveknowledge of and experience in applying data mining and machine learning techniques on large amount of datasets High level of proficiency in statisticaltools like R Python Candidate will be expected to communicate analyticalresults in a way that is meaningful for business stakeholders and provides actionable insights Have the ability to discover new opportunities whereadvanced analytical techniques can be leveraged for solving business problems

Managing allocations of non billable and support staff for internal projects for accounting Creating and maintaining Projects in liaison with crossfunctional teams Liasing with Sales and Inside Sales teams for sales and customer analysis Reviewing and cleansing of data to maintain data integrity Managing allocations of non billable and support staff for internal projects for accounting Creating and maintaining Projects in liaison with crossfunctional teams Liasing with Sales and Inside Sales teams for sales and customer analysis Reviewing and cleansing of data to maintain data integrity Around 6 months to 1 year of experience in s Operations Engineering or Bachelor Degree in Commerce or Statistics Good Proficiency in MS Excel and MS office Good written and verbal communication skills Contributes to team effort by accomplishing related results as needed with willingness to learn Analytical thinking andProblem solving

Data Science Machine Learning Deep Learning Python NLP statistical exp Roles and responsibilities Experience in Data Modelling R Python SQL Data Science Machine Learning Deep Learning NLP Statistics Have ability to solve Business problems using Data Should possess extensive knowledge of and experience in applying data mining and machine learning techniques on large amount of datasets High level of proficiency in statistical tools like R Python Candidate will be expected to communicate analytical results in a way that is meaningful for business stakeholders and provides actionable insights Have the ability to discover new opportunities where advanced analytical techniques can be leveraged for solving business problems

Design, develop, and implement machine learning models and statistical algorithms Analyze large datasets to extract meaningful insights and trends Collaborate with stakeholders to define business problems and deliver data-driven solutions Optimize and scale machine learning models for production environments Present analytical findings and recommendations in a clear, actionable manner Key Skills: Proficiency in Python, R, and SQL Experience with ML libraries like TensorFlow, PyTorch, or Scikit-learn Strong knowledge of statistical methods and data visualization tools Excellent problem-solving and storytelling skills

Azure Databricks Experience; 3 to 5 years Proficiency in Databricks, Apache Spark, and Delta Lake Strong understanding of cloud platforms such as AWS, Azure, or GCP Experience with SQL, Python, Scala, and/or R Familiarity with data warehousing concepts and ETL processes Problem-Solving: Excellent analytical and problem-solving skills with a keen attention to detail Data bricks Associate certification

You have an entrepreneurial spirit. You enjoy working as a part of well-knit teams. You value the team over the individual. You welcome diversity at work and within the greater community. You aren't afraid to take risks. You appreciate a growth path with your leadership team that journeys how you can grow inside and outside of the organization. You thrive upon continuing education programs that your company sponsors to strengthen your skills and for you to become a thought leader ahead of the industry curve. You are excited about creating change because your skills can help the greater good of every customer, industry and community. We are hiring a talented Power BI Tableau Description Advanced knowledge in Excel using Power Query, pivots slicers, graphs, functions formulae, data validation, conditional formatting, advanced and custom filters, etc. Knowledge in Excel macros would be an additional asset Working knowledge in creating reports and dashboards in Power BI/Tableau Knowledge in Python

You have an entrepreneurial spirit. You enjoy working as a part of well-knit teams. You value the team over the individual. You welcome diversity at work and within the greater community. You aren't afraid to take risks. You appreciate a growth path with your leadership team that journeys how you can grow inside and outside of the organization. You thrive upon continuing education programs that your company sponsors to strengthen your skills and for you to become a thought leader ahead of the industry curve. You are excited about creating change because your skills can help the greater good of every customer, industry and community. We are hiring a talented RPA Developer Mandatory Skills: Robotic Process Automation, Rpa Automation, Blue Prism Skill to Evaluate: Robotic Process Automation, Rpa Automation, Blue Prism Job Description: Technical Blue Prism Mandatory: Strong knowledge of RPA tools: BluePrism experience is highly preferred with an exp of 0-2 years Experience in AWS . Experience in any of the programming AI/ML languages like Python, R Automation knowledge of SAP, Web Based, Java Based applications. Strong use of Microsoft Office productivity tools including, Excel, Word, Access, PowerPoint Able to design technical specification documents for RPA Projects. Experience developing and consuming APIs. Experience with Agile development methodology. Experience with Databases (SQL or NoSQL) is often preferred. Knowledge of artificial intelligence and machine learning. Understanding of workflow-based logic. Ability to present technical details to non-technical audiences. Excellent problem-solving/analytical skills and complex troubleshooting methods. Strong communication and teamwork skills. Ability to multitask in a fast-paced environment and prioritize the most critical tasks and projects Fluent in English verbally written

1. Performing in-depth secondary research analysis and primary research through telephonic interviews surveys, and questionnaires 2. Analyze data using statistical software and tools 3. Updating the structure and content of the report as per industry expectations/standards and feedback. 4. Should have the sound aptitude and a good logical approach. 5. Experience required from the Market Research industry only. 6. Immediate joiners are preferred for the positions. 7. Must have sound knowledge of Microsoft Excel.

Acentra delivers a broad range of healthinformation technology enterprise solutions and customizable products to adiverse base of state and federal agencies. We align, build, and manageinnovative, high-quality, cost-effective solutions that help customers achievetheir mission, enhance business performance, reduce costs, and improve thehealth of over 50 million Americans. With locations throughout the U.S. and inIndia, Acentra employs a world-class team of technologists, healthcaresubject-matter experts, and program managers, all of whom have experience withlarge-scale mission-critical information technology implementations. Innovation and commitment to our missionare core to our DNA. And through our shared values, we foster an environment ofinclusion, empowerment, accountability, and fun! About the Job This position is for a Machine Learningexpert who is responsible for successful delivery of Acentra Health'stechnology initiatives. Candidates for this role will be working at theintersection of data science and software engineering, building, deploying, andoptimizing machine learning (ML) models and pipelines, with a strong emphasison large language models (LLMs), generative AI (GenAI), and natural languageprocessing (NLP). Will help improve patient outcomes and drive innovation andefficiency in healthcare. What you will do Design, develop, and implement ML models and algorithms to solvehealthcare-related problems, such as disease prediction, patient riskstratification, clinical decision support, and personalized medicine Exploreand implement state-of-the-art ML techniques, including supervised andunsupervised learning, deep learning, and NLP Develop and implement data cleaning, feature engineering, and dataaugmentation techniques to improve model performance and generalizability Evaluate and validate ML models using appropriate metrics andmethodologies, ensuring robustness, accuracy, and reliability Interpretand communicate model results to domain experts and stakeholders, providingactionable insights and recommendations Optimize models for performance, scalability, and real-timepredictions, considering computational constraints and regulatory requirements Design and develop innovative solutions using LLMs and foundationmodels to solve business problems and create operational efficiencies Lead the AI and ML development process and oversee CICD pipelines Document code, methodologies, and experimental results to ensurereproducibility and knowledge sharing Train junior level engineers and serve as a mentor for learningnew technologies, best practices, and company culture Collaborate with cross-functional teams, including datascientists, clinicians, researchers, and product managers, to translatebusiness requirements into technical solutions Stayabreast of the latest advancements in ML, AI, LLMs, healthcare informatics, andregulatory landscape to inform decision-making and drive innovation Who you are: Education : Bachelors degree in computer science, data science, or a relatedfield. 2+ Provenexperience and success as an ML Engineer. Technicalskills 2+ years of experience as a ML Engineer 2+ years of experience with object-oriented scripting languages, such as Python or R 2+ years of experience with developing ML models and NLP techniques 2+ years of experience with data preprocessing and feature engineering 2+ years of experience with LLMs and GenAI 1+ years of cloud computing experience using Azure and/or Amazon Web Services (AWS) for testing, deploying, and managing ML and AI systems Proven experience with successfully deploying solutions using LLMs and foundation models Proven experience with GenAI techniques such as variational autoencoders (VAEs), generative adversarial networks (GANs) and transformer-based models Provenexperience successfully developing and deploying ML algorithms, statisticalanalysis, and data mining techniques Proven experience mentoring ML Engineers and colleagues Demonstrable experience developing innovative ideas and solutions Goodto have familiarity with healthcare data standards (e.g., HL7, FHIR),electronic health records (EHR), medical imaging formats (DICOM), and relevanthealthcare regulations (e.g., HIPAA) is highly desirable

Experience in handling genomic data (microarray/NGS) Writing custom scripts for analysis of genomic data derived from high-throughput techniques. Designs and implements bioinformatics tools and processes in order to analyse large scale datasets. Develop projects and work independently on a variety of bioinformatics analysis projects. Works in collaboration with wet-bench biologists as well as work independently to analyse data derived from several types of projects including genetic disorders and infectious diseases having data from microarrays. Sanger sequencing and high throughput Next-Generation Sequencing. Good organization and communication skills, with demonstrated ability to productively working as a member of a team. 2-3 years relevant experience required, preferably in NGS Working experience with genetics or statistics analysis software and online resources. Department: Molecular Genomic Research & Diagnostics Essential Qualification: Ph. D/ M.Sc in Bioinformatics Essential Experience: Minimum of 2/3 years work experience in handling genomic data (microarray/NGS)

Key Responsibilities: Develop and implement Media Mix Models to optimize marketing spend across different channels (e.g., TV, digital, radio, print, etc.). Analyze historical data to understand the impact of marketing efforts and determine the effectiveness of different media channels. Collaborate with marketing and business teams to translate business objectives into quantitative analyses and actionable insights. Build predictive models to forecast the impact of future marketing activities and recommend budget allocation. Present and communicate complex findings in a clear, concise, and actionable manner to both technical and non-technical stakeholders. Perform deep-dive analyses of marketing campaigns and customer data to identify trends, opportunities, and areas for improvement. Ensure data integrity, accuracy, and consistency in all analyses and models. Stay up-to-date with the latest trends and advancements in media mix modeling, marketing analytics, and data science. Collaborate with cross-functional teams including Data Engineering, Marketing, and Business Intelligence to ensure seamless data flow and integration. Create and maintain documentation for all models, methodologies, and analysis processes. Qualifications Bachelors or Masters degree in Data Science, Statistics, Economics, Mathematics, or a related field. Proven experience (6+ years) working in Media Mix Modeling (MMM) and/or marketing analytics. Strong proficiency in statistical modeling techniques (e.g., regression analysis, time-series modeling) and data analysis. Hands-on experience with tools and technologies such as Python, R, SQL, and data visualization platforms (e.g., Tableau, Power BI). Familiarity with marketing data sources (e.g., Nielsen, IRI, social media data, CRM, etc.). Excellent problem-solving skills and a strong analytical mindset. Ability to translate complex data into actionable insights and recommendations for business stakeholders. Strong communication skills with the ability to present findings to both technical and non-technical audiences. Experience working in a fast-paced, data-driven environment. Familiarity with machine learning techniques and frameworks is a plus. Preferred Qualifications: Experience working with large datasets and cloud-based data platforms (e.g., AWS, Azure, Google Cloud). Knowledge of marketing attribution models, customer segmentation, and lifetime value (LTV) analysis. Experience in running A/B tests and controlled experiments. Prior experience in a consulting or marketing agency environment is a plus.

Role & responsibilities Mandatory Skill: Python, AI/ML, NLP Programming Languages: Python is particularly popular due to its extensive libraries for AI and machine learning .Proficiency in any languages such as Python, Java, R, C++, and JavaScript is essential. Machine Learning and Deep Learning: A strong foundation in machine learning algorithms (e.g., linear regression, decision trees) and deep learning techniques (e.g., neural networks) is crucial Natural Language Processing (NLP): Skills in NLP techniques like text classification, sentiment analysis, and language modeling are vital for developing chatbots and virtual assistants Data Analysis and Visualization: Ability to analyze and visualize data using tools like Pandas etc AI Frameworks and Libraries: Familiarity with frameworks such as TensorFlow, Keras, PyTorch, and Scikit-learn . Work Location: Chennai/Hyderabad/Pune/Trivandrum/Bangalore Interested candidate share me your updated resume in recruiter.wtr26@walkingtree.in

IT & Technology Senior Manager Data Analytics Role And Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement recommendations including changes in operational processes, technology or data management - Primary area of focus: PSCM/ VMI business; secondary area of focus: ICS KPI s - Business improvements pre & post (either operational program, algorithm, model or resultant software). Improvements measured in time and/or dollar savings - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : - R or python (Data Cleaning, Statistical and Modelling packages) , SQL, VBA and DAX (PowerBI) - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique Compliance Requirements : - GET has a Business Ethics Policy which provides guidance to all employees in their day-to-day roles as well as helping you and the business comply with the law at all times. The incumbent must read, understand and comply with, at all times, the policy along with all other corresponding policies, procedures and directives. QHSE Responsibilities - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company s, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills - Analytical skills - Negotiation - Convincing skills Key Competencies - Never give up attitude - Flexible - Eye to detail Experience: Minimum 8 Years Of Experience

Role and Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes. - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement. recommendations including changes in operational processes, technology or data management. - Primary area of focus : PSCM/ VMI business; secondary area of focus : ICS KPI's. - Business improvements pre & post (either operational program, algorithm, model or resultant software). - Improvements measured in time and/or dollar savings. - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements : - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills : - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : 1. R or python (Data Cleaning, Statistical and Modelling packages). 2. SQL.VBA and DAX (PowerBI). - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique. Responsibilities : - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company's, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills : - Analytical skills. - Negotiation. - Convincing skills. Key Competencies : - Never give up attitude. - Flexible. - Eye to detail. Experience : Minimum 8 years of experience.

Role and Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes. - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement. recommendations including changes in operational processes, technology or data management. - Primary area of focus : PSCM/ VMI business; secondary area of focus : ICS KPI's. - Business improvements pre & post (either operational program, algorithm, model or resultant software). - Improvements measured in time and/or dollar savings. - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements : - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills : - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : 1. R or python (Data Cleaning, Statistical and Modelling packages). 2. SQL.VBA and DAX (PowerBI). - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique. Responsibilities : - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company's, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills : - Analytical skills. - Negotiation. - Convincing skills. Key Competencies : - Never give up attitude. - Flexible. - Eye to detail. Experience : Minimum 8 years of experience.

IT & Technology Senior Manager Data Analytics Role And Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement recommendations including changes in operational processes, technology or data management - Primary area of focus: PSCM/ VMI business; secondary area of focus: ICS KPI s - Business improvements pre & post (either operational program, algorithm, model or resultant software). Improvements measured in time and/or dollar savings - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : - R or python (Data Cleaning, Statistical and Modelling packages) , SQL, VBA and DAX (PowerBI) - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique Compliance Requirements : - GET has a Business Ethics Policy which provides guidance to all employees in their day-to-day roles as well as helping you and the business comply with the law at all times. The incumbent must read, understand and comply with, at all times, the policy along with all other corresponding policies, procedures and directives. QHSE Responsibilities - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company s, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills - Analytical skills - Negotiation - Convincing skills Key Competencies - Never give up attitude - Flexible - Eye to detail Experience: Minimum 8 Years Of Experience

Role And Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement recommendations including changes in operational processes, technology or data management - Primary area of focus: PSCM/ VMI business; secondary area of focus: ICS KPI s - Business improvements pre & post (either operational program, algorithm, model or resultant software). Improvements measured in time and/or dollar savings - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : - R or python (Data Cleaning, Statistical and Modelling packages) , SQL, VBA and DAX (PowerBI) - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique Compliance Requirements : - GET has a Business Ethics Policy which provides guidance to all employees in their day-to-day roles as well as helping you and the business comply with the law at all times. The incumbent must read, understand and comply with, at all times, the policy along with all other corresponding policies, procedures and directives. QHSE Responsibilities - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company s, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills - Analytical skills - Negotiation - Convincing skills Key Competencies - Never give up attitude - Flexible - Eye to detail Experience: Minimum 8 Years Of Experience.

Role and Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes. - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement. recommendations including changes in operational processes, technology or data management. - Primary area of focus : PSCM/ VMI business; secondary area of focus : ICS KPI's. - Business improvements pre & post (either operational program, algorithm, model or resultant software). - Improvements measured in time and/or dollar savings. - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements : - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills : - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : 1. R or python (Data Cleaning, Statistical and Modelling packages). 2. SQL.VBA and DAX (PowerBI). - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique. Responsibilities : - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company's, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills : - Analytical skills. - Negotiation. - Convincing skills. Key Competencies : - Never give up attitude. - Flexible. - Eye to detail. Experience : Minimum 8 years of experience.

Responsibilities : - Data Gathering/ Data Analysis/Data Modelling/ Data Cleansing/Data formatting - AS IS and TO-BE business process analysis and process modelling including end-to-end data flows - Authoring data migration plan/cutover plan - Support change management activities - Supporting solution development team with data insights as required Mandatory Skills/Experience : - HCM project experience including upgrade/improvement projects - People/HR data & process knowledge and experience - Oracle HCM Cloud skills and experience - BI Dashboard skills and experience - ability to create/update - Demonstrated experience developing cutover plans/data migration plans - Ability to present complex data in easily consumable format to executive level Desirable/Preferred Skills : - R-Studio skills and experience to code level - Knowledge of coding languages - SQL, Python, R Ideal Candidate : - Strong customer facing skills - high standard of verbal/written communication skills - Self-starter with ability to work independently to lead data related work within large HCM project. - Ability to work across multiple initiatives simultaneously - Flexibility in work hours with global project team and business - Ability to work efficiently and effectively via remote work preferably working on US/Canada time zone).