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analytical development scientist Jobs in Hyderabad

analytical development scientist

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assistant vice president - ai ml lead

atmospheric scientist/statistician i Jobs in Hyderabad

atmospheric scientist/statistician i

business analyst

data scientist

People Tech Group Inc

<div>
 
 
 Job Description:
 
 
 
 
 Job Title:
 
 Data scientist
 
 
 
 Experience:
 
 5+ Years
 
 
 
 Location:
 
 Hyderabad
 
 
 
 Job Type:
 
 Full-Time(Work from Office)
 
 
 
 Job Summary:
 
 
 
 Data Scientist to play a critical role in building the next generation machine learning applications and services for the global sourcing and procurement operations. The candidate will be part of a team with a goal to innovate and build data driven solutions to support sourcing and procurement operations. We are one of the fastest growing teams across Amazon with strong technology orientation.
 
 
 As an Data Scientist, he will have the opportunity to play a key role in driving the development of key features for our customers. He will take on challenging problems and deliver solutions that either leverage existing academic and industrial research, or utilize his own out-of-the-box pragmatic thinking.
 
 
 
 
 
 Key job responsibilities:
 
 
 &bull; Analyse and extract relevant information from large amounts of data to help automate and optimize key processes.
 
 
 &bull; Research, develop and implement novel machine learning, LLM and statistical approaches for improving the user experience in the procurement domain.
 
 
 &bull; Use machine learning and analytical techniques to create scalable solutions for business problems.
 
 
 
 
 
 Skill Sets :
 
 <ul>
 <li>
 5+ years of building models for business application experience
 </li>
 <li>
 Experience programming in Python
 </li>
 <li>
 Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
 </li>
 </ul>
 
 
</div>

Data Scientist

PepsiCo

<div>
 
 
 Location: Hyderabad and Gurgaon.
 
 
 
 
 
 
 
 Overview
 
 
 
 Data Science Team works in developing Machine Learning (ML) and Artificial Intelligence (AI) projects. Specific scope of this role is to develop ML solution in support of ML/AI projects using big analytics toolsets in a CI/CD environment. Analytics toolsets may include DS tools/Spark/Databricks, and other technologies offered by Microsoft Azure or open-source toolsets. This role will also help automate the end-to-end cycle with Azure Pipelines.
 
 
 
 
 You will be part of a collaborative interdisciplinary team around data, where you will be responsible of our continuous delivery of statistical/ML models. You will work closely with process owners, product owners and final business users. This will provide you the correct visibility and understanding of criticality of your developments.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Delivery of key Advanced Analytics/Data Science projects within time and budget, particularly around DevOps/MLOps and Machine Learning models in scope
 </li>
 <li>
 Active contributor to code &amp; development in projects and services
 </li>
 <li>
 Partner with data engineers to ensure data access for discovery and proper data is prepared for model consumption.
 </li>
 <li>
 Partner with ML engineers working on industrialization.
 </li>
 <li>
 Communicate with business stakeholders in the process of service design, training and knowledge transfer.
 </li>
 <li>
 Support large-scale experimentation and build data-driven models.
 </li>
 <li>
 Refine requirements into modelling problems.
 </li>
 <li>
 Influence product teams through data-based recommendations.
 </li>
 <li>
 Research in state-of-the-art methodologies.
 </li>
 <li>
 Create documentation for learnings and knowledge transfer.
 </li>
 <li>
 Create reusable packages or libraries.
 </li>
 <li>
 Ensure on time and on budget delivery which satisfies project requirements, while adhering to enterprise architecture standards
 </li>
 <li>
 Leverage big data technologies to help process data and build scaled data pipelines (batch to real time)
 </li>
 <li>
 Implement end-to-end ML lifecycle with Azure Databricks and Azure Pipelines
 </li>
 <li>
 Automate ML models deployments
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 BE/B.Tech in Computer Science, Maths, technical fields.
 </li>
 <li>
 Overall 2-4 years of experience working as a Data Scientist.
 </li>
 <li>
 2+ years&rsquo; experience building solutions in the commercial or in the supply chain space.
 </li>
 <li>
 2+ years working in a team to deliver production level analytic solutions. Fluent in git (version control). Understanding of Jenkins, Docker are a plus.
 </li>
 <li>
 Fluent in SQL syntaxis.
 </li>
 <li>
 2+ years&rsquo; experience in Statistical/ML techniques to solve supervised (regression, classification) and unsupervised problems.
 </li>
 <li>
 2+ years&rsquo; experience in developing business problem related statistical/ML modeling with industry tools with primary focus on Python or Pyspark development.
 </li>
 <li>
 Data Science &ndash; Hands on experience and strong knowledge of building machine learning models &ndash; supervised and unsupervised models. Knowledge of Time series/Demand Forecast models is a plus
 </li>
 <li>
 Programming Skills &ndash; Hands-on experience in statistical programming languages like Python, Pyspark and database query languages like SQL
 </li>
 <li>
 Statistics &ndash; Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators
 </li>
 <li>
 Cloud (Azure) &ndash; Experience in Databricks and ADF is desirable
 </li>
 <li>
 Familiarity with Spark, Hive, Pig is an added advantage
 </li>
 <li>
 Business storytelling and communicating data insights in business consumable format. Fluent in one Visualization tool.
 </li>
 <li>
 Strong communications and organizational skills with the ability to deal with ambiguity while juggling multiple priorities
 </li>
 <li>
 Experience with Agile methodology for team work and analytics &lsquo;product&rsquo; creation.
 </li>
 <li>
 Experience in Reinforcement Learning is a plus.
 </li>
 <li>
 Experience in Simulation and Optimization problems in any space is a plus.
 </li>
 <li>
 Experience with Bayesian methods is a plus.
 </li>
 <li>
 Experience with Causal inference is a plus.
 </li>
 <li>
 Experience with NLP is a plus.
 </li>
 <li>
 Experience with Responsible AI is a plus.
 </li>
 <li>
 Experience with distributed machine learning is a plus
 </li>
 <li>
 Experience in DevOps, hands-on experience with one or more cloud service providers AWS, GCP, Azure(preferred)
 </li>
 <li>
 Model deployment experience is a plus
 </li>
 <li>
 Experience with version control systems like GitHub and CI/CD tools
 </li>
 <li>
 Experience in Exploratory data Analysis
 </li>
 <li>
 Knowledge of ML Ops / DevOps and deploying ML models is preferred
 </li>
 <li>
 Experience using MLFlow, Kubeflow etc. will be preferred
 </li>
 <li>
 Experience executing and contributing to ML OPS automation infrastructure is good to have
 </li>
 <li>
 Exceptional analytical and problem-solving skills
 </li>
 <li>
 Stakeholder engagement-BU, Vendors.
 </li>
 <li>
 Experience building statistical models in the Retail or Supply chain space is a plus
 </li>
 </ul>
 
 
</div>

Turing

<div>
 A prominent US client is seeking Data Scientists to join their team. As a Data Scientist, you will play a critical role in conducting thorough peer code reviews, providing insightful feedback, and collaborating closely with researchers and stakeholders to align with project goals.
 
 
 
 Job Responsibilities
 
 
 
 <ul>
 <li>
 Write Python code to analyze public datasets and extract valuable insights.
 </li>
 <li>
 Communicate effectively with researchers to stay aligned with company objectives.
 </li>
 <li>
 Develop clear, well-documented code using Jupyter notebooks.
 </li>
 <li>
 Utilize public data sources (e.g., Kaggle, UN, US Government) to address business-related queries.
 
 
 </li>
 </ul>
 
 Job Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s/Master&rsquo;s degree in Engineering, Computer Science, or equivalent experience.
 </li>
 <li>
 Strong proficiency in Python for data science and data analysis.
 </li>
 <li>
 Comprehensive understanding of data science methodologies.
 </li>
 <li>
 Fluent in spoken and written English.
 </li>
 <li>
 Strong problem-solving and analytical skills.
 
 
 </li>
 </ul>
 
 Job Benefits
 
 
 
 <ul>
 <li>
 Collaborate with top experts worldwide and expand your professional network.
 </li>
 <li>
 Enjoy remote work flexibility.
 </li>
 <li>
 Competitive global-standard salary in USD.
 </li>
 <li>
 Contribute to projects pushing the boundaries of technology, keeping you at the forefront of AI advancements.
 
 
 </li>
 </ul>
 
 Selection Process
 
 
 
 <ul>
 <li>
 Shortlisted developers may be asked to complete an assessment.
 </li>
 <li>
 If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates.
 </li>
 <li>
 Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment.
 </li>
 </ul>
</div>

Remote Data Scientist

Verisk

<div>
 
 Job Description
 
 
 
 Join a multidisciplinary team of scientists, engineers, and mathematicians developing catastrophe models for the insurance and reinsurance industries. At Verisk, we are leading the way in generating new solutions based on machine learning and high-resolution numerical weather models to simulate the full distribution of possible extreme weather events&mdash;cyclones, storm surge, convective storms, and flooding&mdash; consistent with a changing climate.
 
 
 We are seeking a statistician or atmospheric scientist to advance the development, support, and delivery of the hazard component of atmospheric peril models. Your work will inform risk and capital management decisions globally.
 
 
 
 Responsibilities
 
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Improve the accuracy of representing atmospheric perils
 </li>
 <li>
 Contribute to model development, validation, and productization for global clients
 </li>
 <li>
 Support model development using observational and reanalysis products, GCMs, and high-resolution simulations
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 QUALIFICATIONS
 
 
 
 <ul>
 <li>
 Expertise in spatial statistics and extreme value analysis
 </li>
 <li>
 Strong understanding of atmospheric dynamics and extremes
 </li>
 <li>
 Experience with dynamic downscaling methods
 </li>
 <li>
 Proficiency in Python
 </li>
 <li>
 Clear written and verbal communication
 </li>
 <li>
 Practical, solution-focused mindset
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Ph.D. in statistics, atmospheric science, or a related field; or Master&rsquo;s with 3+ years of relevant experience
 
 
 </li>
 </ul>
 
 About Us
 
 
 
 For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster.
 
 
 At Verisk, you'll have the chance to use your voice and build a rewarding career that's as unique as you are, with work flexibility and the support, coaching, and training you need to succeed.
 
 
 For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work&reg; for outstanding workplace culture in the US, fourth consecutive year in the UK, Spain, and India, and second consecutive year in Poland. We value learning, caring and results and make inclusivity and diversity a top priority. In addition to our Great Place to Work&reg; Certification, we&rsquo;ve been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World&rsquo;s Best Employer and Best Employer for Women, testaments to the value we place on workplace culture.
 
 
 We&rsquo;re 7,000 people strong. We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations.
 
 
 
 Verisk Businesses
 
 
 
 Underwriting Solutions &mdash; provides underwriting and rating solutions for auto and property, general liability, and excess and surplus to assess and price risk with speed and precision
 
 
 Claims Solutions &mdash; supports end-to-end claims handling with analytic and automation tools that streamline workflow, improve claims management, and support better customer experiences
 
 
 Property Estimating Solutions &mdash; offers property estimation software and tools for professionals in estimating all phases of building and repair to make day-to-day workflows the most efficient
 
 
 Extreme Event Solutions &mdash; provides risk modeling solutions to help individuals, businesses, and society become more resilient to extreme events.
 
 
 Specialty Business Solutions &mdash; provides an integrated suite of software for full end-to-end management of insurance and reinsurance business, helping companies manage their businesses through efficiency, flexibility, and data governance
 
 
 Marketing Solutions &mdash; delivers data and insights to improve the reach, timing, relevance, and compliance of every consumer engagement
 
 
 Life Insurance Solutions &ndash; offers end-to-end, data insight-driven core capabilities for carriers, distribution, and direct customers across the entire policy lifecycle of life and annuities for both individual and group.
 
 
 Verisk Maplecroft &mdash; provides intelligence on sustainability, resilience, and ESG, helping people, business, and societies become stronger
 
 
 Verisk Analytics is an equal opportunity employer.
 
 
 All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability. Verisk&rsquo;s minimum hiring age is 18 except in countries with a higher age limit subject to applicable law.
 
 
 https://www.verisk.com/company/careers/
 
 
 Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.
 
 
 Verisk Employee Privacy Notice
</div>

Atmospheric Scientist/Statistician I

<div>
 
 Overview
 
 
 
 The purpose of this role is to lead and coordinate the forecasting analyst team for a specific BU to generate a sound driver-based forecast as starting point for the Demand Planning process within IBP by ensuring the right data is available for the IBP forecasting engine (PFE), executing the models that generate the forecast. The forecasting analyst roles will collaborate day to day with the Demand Planners to ensure the forecast is as per business needs and with the Data Scientists to continuously improve the forecasting engine and the data to improve the forecast accuracy. The forecasting analyst will work both on Mid-Term (monthly / 24 months) and Short-Term (weekly / 16-20 weeks) depending on the scope assigned within a BU
 
 
 
 Responsibilities
 
 
 
 Critical role in ownership, execution and improvement of the Driver Based Forecast
 
 
 <ul>
 <li>
 Lead and coordinate the the team of forecasting analysts working for a specific BU while being directly responsible for part of the scope
 </li>
 <li>
 Be the main point of contact for BU Demand Planning Leads and Data Scientist working for that specific BU
 </li>
 <li>
 For Short-Term, Mid-Term and Demand Sensing Forecasting Models and all the required demand streams in the BU:
 </li>
 <li>
 Ensure all demand drivers are being captured in the driver-based forecast
 </li>
 <li>
 Reconcile data inputs to confirm that all volume driver data is complete and there are no gaps
 </li>
 <li>
 Ensure all the Master Data needed to activate, deactivate, substitute DFUs in the Demand Planning systems and all associated lifecycles management activities at the different levels of the hierarchy are consistently executed. Manage the overall/ massive master data management.
 </li>
 <li>
 Ensure history corrections, outliers corrections and realignments needed to run the models are executed properly and manage events that apply to all BU and history realignments
 </li>
 <li>
 Ensure models run correctly and the output is complete and consistent
 </li>
 <li>
 Perform small adjustments in the forecasting engine parameters / data inputs to capture demand trends or patterns that are not well reflected based on own findings or feedback from the Demand Planners
 </li>
 <li>
 Measure and Report Forecasting KPIs
 </li>
 <li>
 Drive overall Forecast Continuous Improvements and Root Cause Analysis with the Demand Planners and perform the analysis on the modelling. Identify improvement areas and recommended actions Collaborate with Demand Planners and Data Scientists to define an implement an improvement backlog on the models
 </li>
 <li>
 Support Data Science in the Experimentation, test and evaluation of the improvements and its validation with the Demand Planners before its implementation
 </li>
 <li>
 Drive segmentation calculations and review and validate with the demand planners for its implementation
 </li>
 <li>
 Leverage and share best practice which will impact on the wider PepsiCo ecosystem ensuring the best for PepsiCo and therefore enabling its Better, Stronger and Faster ambitions
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Holder of both a Bachelor's and Master' degree (preferably with studies in Business Administration, Engineering, Supply Chain, Finance). Having an MBA is a plus.
 </li>
 <li>
 Experience in generating accurate demand statistical forecast and in advanced forecasting models including Machine Learning algorithms at fast moving consumer goods including a collaborative planning, demand sensing, promotions planning, new product introduction planning, demand shaping and demand scenarios management
 </li>
 <li>
 Proficiency in Data Analysis and Insights. Ability to navigate across large amounts of data, understand the gaps, identify exception and extract insights to form conclusions and inform decisions, with strong analytical skills.
 </li>
 <li>
 High level of understanding on commercial activities and how they driver demand in FMCG and strong understanding of the demand planning and forecasting processes
 </li>
 <li>
 Ability to process and resolve complex issues, establish priorities and action plans
 </li>
 <li>
 8-10 over all years experience with 6+ years in Demand planning or forecasting
 </li>
 <li>
 Experience at a middle level in the FMCG industry is a plus
 </li>
 <li>
 Experience in managing and organizing teams
 </li>
 <li>
 Collaborative and team player
 </li>
 <li>
 Strong in both strategic and analytical thinking
 </li>
 <li>
 Strong in organizational skills and attention to detail
 </li>
 <li>
 Good business acumen with results orientation
 </li>
 <li>
 Ability to generate consensus via strong network &amp; collaborations skills
 </li>
 <li>
 Fluent in English with Local Language (for Mus assigned - is a plus)
 </li>
 <li>
 Strong understanding of the IBP processes, demand planning and forecasting.
 </li>
 <li>
 Comfortable with process discipline and process adherence, but also able to identify and take opportunities to further develop and strengthen the process without compromising the end state
 </li>
 </ul>
</div>

Senior Manager-Forecast Analyst Bu Lead-Supply Chain

ValueMomentum

<div>
 
 Job Title:
 
 AI/ML Lead
 
 
 
 Job ID:
 
 POS-16044
 
 
 
 Primary Skill:
 
 AWS Services
 
 
 
 Location:
 
 Hyderabad
 
 
 
 Experience:
 
 9.00
 
 
 
 Secondary Skills:
 
 GenAI, Langchain,LLMs, and RAG
 
 
 
 Job Location:
 
 Hyderabad
 
 
 
 Mode of Work:
 
 Work From Office
 
 
 
 Experience
 
 
 :
 
 7-12 Years
 
 
 
 About The Job
 
 
 
 We are seeking an AI Architect to join their team in Erie, PA. We are looking for a senior data scientist/agentic AI architect with heavy ML/MLops experience (strong Python) who can evaluate and implement models that are provided by the enterprise and act as Lead Engineer. We are really searching for someone who can analyze the models and select which model can be used for which situation. The Senior/Lead ML Engineer will need deep ML knowledge but will not be building models from scratch, but potentially making them more efficient, implementing them, analyzing them and assisting with metrics and future plans with a focus on agentic AI (workflows).
 
 
 
 Know Your Team
 
 
 
 At ValueMomentum&rsquo;s Technology Solution Centers, we are a team of passionate engineers who thrive on tackling complex business challenges with innovative solutions while transforming the P&amp;C insurance value chain. We achieve this through a strong engineering foundation and by continuously refining our processes, methodologies, tools, agile delivery teams, and core engineering archetypes. Our core expertise lies in six key areas:
 
 Platforms, Infra/Cloud, Application, Data, Core, and Quality Assurance
 
 .
 
 
 Join a team that invests in your growth. Our Infinity Program empowers you to build your career with role-specific skill development, leveraging immersive learning platforms. You'll have the opportunity to showcase your talents by contributing to impactful projects.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Lead the design and development of an Agentic AI platform
 </li>
 <li>
 Architect and implement core systems for agent-based AI workflows
 </li>
 <li>
 Design and deploy LLM-based pipelines, agent orchestration, and vector-based memory systems,
 </li>
 <li>
 Develop and optimise ML models, pipelines, and orchestration logic
 </li>
 <li>
 Ensure the integration and compatibility of network, IDAM (Identity and Access Management), Active Directory, key vaults, and other security-related components within the self-service platform.
 </li>
 <li>
 Provide technical leadership and guidance to development teams on leveraging the self-service platform for their AI-based initiatives.
 </li>
 <li>
 Collaborate with stakeholders to define key performance indicators (KPIs) and establish metrics for measuring the effectiveness and adoption of the self-service platform with improved developer experience.
 </li>
 <li>
 Stay abreast of industry trends, best practices, and regulatory requirements related to cloud computing, DevOps, network, security, and platform modernisation.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s / master&rsquo;s degree in computer science, Engineering, or a related field (or equivalent work experience).
 </li>
 <li>
 Programming Languages: Proficiency in Python is essential.
 </li>
 <li>
 Agentic AI : Expertise in LangChain/LangGraph, CrewAI, Semantic Kernel/Autogen and Open AI Agentic SDK
 </li>
 <li>
 Machine Learning Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, and AutoML; Deep expertise in machine learning, system architecture, and AI agent frameworks to build scalable, autonomous systems
 </li>
 <li>
 Generative AI: Hands-on experience with generative AI models, RAG architecture, and Natural Language Processing (NLP)
 </li>
 <li>
 Cloud Platforms: Familiarity with AWS
 </li>
 <li>
 Data Engineering: Proficiency in data preprocessing and feature engineering
 </li>
 <li>
 Version Control: Experience with GitHub for version control
 </li>
 <li>
 Data Science Practices: Skills in building models, testing/validation, and deployment
 </li>
 <li>
 Collaboration: Experience working in an Agile framework
 </li>
 <li>
 RAG Architecture: Experience with data ingestion, data retrieval, and data generation using optimal methods such as hybrid search
 </li>
 <li>
 Understanding of AWS services such as EC2, S3, VPC, IAM, Lambda, API Gateway, and others.
 </li>
 <li>
 Knowledge in infrastructure as code (IaC) tools such as Terraform,.
 </li>
 <li>
 Understanding of cloud security best practices, compliance standards, and governance frameworks.
 </li>
 <li>
 Experience with containerization technologies (e.g., Docker, Kubernetes) and serverless computing.
 </li>
 <li>
 Experience with DevOps practices, including CI/CD pipelines, configuration management, and automated testing.
 </li>
 <li>
 Experience in network architecture, IDAM (Identity and Access Management), Active Directory, key vaults, and other network and security-related components.
 </li>
 <li>
 Excellent problem-solving skills and the ability to troubleshoot complex issues in distributed systems.
 </li>
 <li>
 Effective communication and collaboration skills, with the ability to effectively interact with stakeholders at all levels.
 
 
 </li>
 </ul>
 
 About The Company
 
 
 
 ValueMomentum is a leading solutions provider for the global property and casualty insurance industry. The company helps insurers stay ahead with sustained growth and high performance, enhancing stakeholder value and fostering resilient societies. Having served over 100 insurers, ValueMomentum is one of the largest services providers exclusively focused on the insurance industry.
 
 
 
 Benefits
 
 
 
 We at ValueMomentum offer you a congenial environment to work and grow in the company of experienced professionals. Some benefits that are available to you are:
 
 
 <ul>
 <li>
 Competitive compensation package.
 </li>
 <li>
 Career Advancement: Individual Career Development, coaching and mentoring programs for professional and leadership skill development.
 </li>
 <li>
 Comprehensive training and certification programs.
 </li>
 <li>
 Performance Management: Goal Setting, continuous feedback and year-end appraisal. Reward &amp; recognition for the extraordinary performers.
 </li>
 </ul>
</div>

AI/ML Lead

<div>
 
 Overview
 
 
 
 The purpose of this role is to lead and coordinate the forecasting analyst team for Sector IBP-Forecasting Markets to generate a sound driver-based forecast as starting point for the Demand Planning process within IBP by ensuring the right data is available for the IBP forecasting engine (PFE), executing the models that generate the forecast. The forecasting analyst roles will collaborate day to day with the Demand Planners to ensure the forecast is as per business needs and with the Data Scientists to continuously improve the forecasting engine and the data to improve the forecast accuracy. The forecasting analyst will work both on Mid-Term (monthly / 24 months) and Short-Term (weekly / 16-20 weeks) depending on the scope assigned within a BU
 
 
 The scope of this role oversees all the Bus in Sector Forecasting Analyst and will have a dotted line reporting relationship with the Global IBP Forecasting Excellence Lead and a solid line with the Global GCC Forecasting Lead
 
 
 This is a key role in IBP as Driver Based Forecast and the PFE are key components to enable the One Plan in the IBP/DP process
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Critical role in ownership, execution and improvement of the Driver Based Forecast in IBP or PFE Forecasting markets
 </li>
 <li>
 Lead and coordinate the team of forecasting analysts working for Sector BUs
 </li>
 <li>
 Be the main point of contact for Sector and Global IBP / S&amp;T teams and support Forecasting Analyst by BU on their BU stakeholder management.
 </li>
 <li>
 Main point of contact to coordinate and prioritize improvements to the PFE with Data Science Global teams working on the Sustain and continuous Improvement of the BU Demand Planning Leads and Data Scientist working for that specific BU
 </li>
 <li>
 Lead and ensure that the Forecasting Analyst perform their process and tasks in the for Short-Term, Mid-Term Forecasting Models and all the required demand streams in the BU:
 </li>
 <li>
 Ensure all demand drivers are being captured in the driver-based forecast
 </li>
 <li>
 Reconcile data inputs to confirm that all volume driver data is complete and there are no gaps
 </li>
 <li>
 Ensure all the Master Data needed to activate, deactivate, substitute DFUs in the Demand Planning systems and all associated lifecycles management activities at the different levels of the hierarchy are consistently executed. Manage the overall/massive master data management.
 </li>
 <li>
 Ensure history corrections, outliers corrections and realignments needed to run the models are executed properly and manage events that apply to all BU and history realignments
 </li>
 <li>
 Ensure models run correctly and the output is complete and consistent
 </li>
 <li>
 Perform small adjustments in the forecasting engine parameters / data inputs to capture demand trends or patterns that are not well reflected based on own findings or feedback from the Demand Planners
 </li>
 <li>
 Measure and Report Forecasting KPIs
 </li>
 <li>
 Drive overall Forecast Continuous Improvements and Root Cause Analysis with the Demand Planners and perform the analysis on the modelling. Identify improvement areas and recommended actions. Collaborate with Demand Planners and Data Scientists to define an implement an improvement backlog on the models
 </li>
 <li>
 Support Data Science in the Experimentation, test and evaluation of the improvements and its validation with the Demand Planners before its implementation
 </li>
 <li>
 Coordinate Sector Forecast Accuracy reporting, Demand and Forecast Performance Analysis and Continuous Improvement Plan across Sector, defining the priorities across markets based on overall impact to the business
 </li>
 <li>
 Drive segmentation calculations and review and validate with the demand planners for its implementation
 </li>
 <li>
 Leverage and share best practice which will impact on the wider PepsiCo ecosystem ensuring the best for PepsiCo and therefore enabling its Better, Stronger and Faster ambitions
 </li>
 <li>
 Support Forecasting process and tool improvement initiatives
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Holder of both a Bachelor&rsquo;s and Master&rsquo; degree (preferably with studies in Business Administration, Engineering, Supply Chain, Finance). Having an MBA is a plus.
 </li>
 <li>
 Experience in generating accurate demand statistical forecast and in advanced forecasting models including Machine Learning algorithms at fast moving consumer goods including a collaborative planning, demand sensing, promotions planning, new product introduction planning, demand shaping and demand scenarios management
 </li>
 <li>
 Proficiency in Data Analysis and Insights. Ability to navigate across large amounts of data, understand the gaps, identify exception and extract insights to form conclusions and inform decisions, with strong analytical skills.
 </li>
 <li>
 High level of understanding on commercial activities and how they driver demand in FMCG and strong understanding of the demand planning and forecasting processes
 </li>
 <li>
 Ability to process and resolve complex issues, establish priorities and action plans
 </li>
 <li>
 10-12 years of over all experience with 8+ years in Demand planning or forecasting
 </li>
 <li>
 Experience at a middle level in the FMCG industry is a plus
 </li>
 <li>
 Experience in managing and organizing teams
 </li>
 <li>
 Collaborative and team player
 </li>
 <li>
 Strong in both strategic and analytical thinking
 </li>
 <li>
 Strong in organizational skills and attention to detail
 </li>
 <li>
 Good business acumen with results orientation
 </li>
 <li>
 Ability to generate consensus via strong network &amp; collaborations skills
 </li>
 <li>
 Fluent in English with Local Language (for Mus assigned - is a plus)
 </li>
 <li>
 Strong understanding of the IBP processes, demand planning and forecasting.
 </li>
 <li>
 Comfortable with process discipline and process adherence, but also able to identify and take opportunities to further develop and strengthen the process without compromising the end state
 </li>
 </ul>
</div>

Executive Manager-Forecast Analyst-Sector lead-Supply Chain

Explore 96+ Data scientist in Hyderabad this September. Find roles across top companies and apply now to boost your career.

96 data scientist jobs IN Hyderabad

Data Scientist

Data Scientist

Remote Data Scientist

Atmospheric Scientist/Statistician I

Senior Manager-Forecast Analyst Bu Lead-Supply Chain

AI/ML Lead

Executive Manager-Forecast Analyst-Sector lead-Supply Chain