16 Forecasting Models Jobs

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. At Target, we have a timeless purpose and a proven strategy, and that hasn't happened by accident. Some of the best minds from diverse backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target's global team and has more than 4,000 team members supporting the company's global strategy and operations. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values diverse backgrounds. We believe your unique perspective is important, and you'll build relationships by being authentic and respectful. At Target, inclusion is part of the core value. We aim to create equitable experiences for all, regardless of their dimensions of difference. As an equal opportunity employer, Target provides diverse opportunities for everyone to grow and win. The People Analytics team's mission is to empower a data-driven approach to HR and people decisions regarding our global workforce. We are uniquely positioned to provide unbiased insights to unlock value and drive outcomes and to enable and influence HR and business strategy. The People Analytics team integrates into the business as strategic HR analytics partners and anticipates and uncovers stated or unstated needs. They use analytics expertise to test, measure, analyze, understand, and answer various business questions. The team provides reporting to help inform on the current state of the business and help facilitate processes at scale. They connect understanding across business and HR to deliver data-driven products and solutions, providing meaningful insights and recommendations. About the role: Our Data Analysts are expected to explore data, technologies, and the application of mathematical techniques to enable business insights. Data analysts accomplish this through a wide variety of skills including data wrangling, reporting, dashboarding, visualization, statistical analysis, modeling, and the presentation of recommendations and insight. Analysts work within an agile environment, which requires active participation in ceremonies to accomplish the team's goals. They also develop domain knowledge as they learn about their business area and support applying key data management principles like metadata management, data profiling, and documenting data lineage. Key Responsibilities: - Actively explore data for specific use cases. - Develop expertise in business domain and processes. - Create measurable insights from the data to be shared. - Develop metrics, measurement strategy, reports, and statistics. - Document calculations, code, and adhere to data management principles. - Validate and test data assets of others in the form of peer review. - Explore statistical analysis that could be applied to the data. - Perform descriptive statistics including mean, variance, median, correlation. - Apply insights and testing in partnership with business users. - Be an active participant in team meetings. - Lead agile ceremonies. - Ability to work independently to turn business problems into data solutions. - Serve as a thought leader and mentor on business domain and analytical techniques to elevate team performance. Qualifications: - BA/BS or equivalent experience. - 9+ years" work experience in data analysis or master's level education in business analytics, data science, etc. - Demonstrated leader in knowledge and application of data, reporting, and analytics. - Proficient with various programming languages - SQL, R, Python. - Proficient with relational and non-relational databases. - Strong domain-specific knowledge in Human Resources data and processes. - Prior experience in human resources or talent/people analytics industry. - Strong mathematical and statistical skills. - Excellent communication skills with the ability to speak to both business and technical teams. - Knowledge of AB Testing methods, time series, S&OP planning, Forecasting models, and analytics tools such as SQL, Excel, Hadoop, Hive, Spark, Python, R, Domo, Adobe Analytics, and/or equivalent technologies.,

As a Demand Planning automation specialist, your primary responsibility will be to design, develop, and evaluate various forecasting models for Hospitals" Main Stores and Sub-stores. You will own the demand forecast model and continuously enhance it by analyzing inputs from Historical, Seasonal, Market intelligence, and Category Management functions to support the broader Supply Chain function and achieve business goals. Your role will involve strict compliance with Hospital formulary while assessing forecasting models and reviewing and refining forecast models 6-12 months in advance. You will consider Sales & Marketing assumptions and understand demand forecast drivers to develop and validate the demand plan from various sources. Additionally, you will prepare multiple levels of aggregation for different time horizons as part of the demand planning function. Monitoring trends in historical sales, forecast accuracy, and forecast bias will be crucial for progressive continuous improvement. You will lead and manage the Demand Review process and related activities of the SCM&P process, preparing key KPI reports and analyzing forecast accuracy and demand trends to support the monthly SCM&P cycle. Collaborating with cross-functional teams to reconcile significant variances and refine the forecast model, as well as facilitating key actions from meetings with stakeholders, will be part of your responsibilities. You will also manage Demand Planning tools and systems, ensuring their maintenance and continuous improvement in coordination with the IT team. In the realm of Inventory Optimization & Control automation, you will be tasked with deriving and maintaining an optimal list of SKUs and storage locations across hospitals. Ensuring availability assessments, initiating alternate options for low safety stock levels, monitoring indent service levels, and managing ROL execution by generating purchase requisitions timely will be essential. You will focus on improving inventory hygiene to minimize write-off costs through continuous monitoring of Surplus, Non-Moving, Nearing expiry, and Ageing inventory, taking timely liquidation actions. Implementing adequate cycle count processes and reviewing, modifying, and deploying SOP & Process guidelines for effective material management across locations will also be part of your role. Lastly, in Governance, MIS & Reporting automation, you will monitor compliance for UNIT SCM functions, implement best practices, liaise with internal and external statutory audits, and maintain compliance levels. Generating MIS reports on SCM functions, including Inventory holding, Inventory hygiene, and Service level tracking will also be crucial aspects of your responsibilities.,

As a Supply Chain Plan&Analyt Analyst at Accenture, you will be responsible for managing planning, procurement, distribution, and aftermarket service supply chain operations. Your role will involve working with the Supply Chain Planning Team to ensure end-to-end supply planning and execution. This includes assessing, designing, building, and implementing best practices in supply planning capabilities such as Inventory Planning/Optimization, Materials Requirements Planning, Distribution Requirements Planning, and Supplier Collaboration within Integrated Planning. In this position, you will be working on projects across various business processes, business applications, and information technology. Your tasks may include providing technology services like application management and infrastructure management, as well as delivering business process services such as finance and accounting, procurement, and human resources. Accenture is looking for a Supply Chain Operations Analyst with the following qualifications and skills: - 3 to 5 years of Supply Chain Experience - Advanced user skills in o9 and SAP BI - Strong quantitative and analytical skills, including Power BI - Exposure to forecasting models is a plus - Exceptional multi-tasking skills with attention to detail and high levels of accuracy - Solid understanding and experience with quantitative and qualitative analysis - Proficiency in Excel - Excellent communication, organization/time management, and problem-solving skills - Project management skills Your roles and responsibilities as a Supply Chain Plan&Analyt Analyst will include: - Developing and maintaining statistical forecast models using historical sales data, market trends, promotional plans, and other demand drivers - Analyzing historical sales patterns, seasonality, and other factors to understand demand behaviors - Managing SKU-Channel forecasts in the O9 system for a Brand cluster as part of a monthly Integrated Business Planning cycle - Incorporating market intelligence, sales insights, and new product introduction plans into the forecasting process - Monitoring forecast accuracy, identifying variances, and conducting root cause analysis to refine future forecasts - Leading or participating in demand review meetings as part of the Sales & Operations Planning process - Collaborating with Sales, Marketing, Finance, and Operations teams to gather input, communicate forecast assumptions, and achieve a consensus demand plan - Collecting, cleaning, and analyzing large datasets related to sales, inventory, market conditions, and external factors - Preparing and presenting key demand planning reports and KPIs such as forecast accuracy, bias, and service levels If you have a background in Supply Chain and possess the required skills and qualifications, Accenture invites you to be a part of our dynamic team dedicated to delivering value and success to our clients.,

The Information Management Specialist position at Global Fincorp in C-Scheme, Jaipur, Rajasthan, offers an exciting opportunity for a Data Analyst with a focus on finance to join the dynamic finance team. As a Data Analyst, you will be responsible for analyzing and interpreting financial data to provide valuable insights that drive key business decisions. Your role will involve working with large volumes of financial data from various sources, ensuring data integrity, and utilizing analytical tools for financial forecasting, budgeting, and strategic planning. Key Responsibilities: Data Collection & Management: - Collect, organize, and maintain financial data from multiple sources such as Cibil, leading banks, and loans. - Ensure data accuracy through regular audits and validation checks. Data Analysis & Reporting: - Analyze historical financial data to identify trends and patterns. - Develop forecasting models for predicting revenue, expenses, and financial growth. Business Intelligence & Data Visualization: - Utilize tools like Power BI, Tableau, and Excel to create interactive dashboards and visual reports. - Present findings clearly to non-technical stakeholders. Performance Metrics & KPIs: - Develop and track key performance indicators to evaluate financial performance. - Analyze financial performance against benchmarks and industry standards. Collaboration & Communication: - Collaborate with departments to align financial data with business objectives. - Work closely with finance managers to provide financial insights for strategic planning. Continuous Improvement: - Identify opportunities for process improvements and automation in data analysis and reporting. - Stay updated on the latest financial trends and analytics technologies. Qualifications: Education: - Bachelor's degree in Finance, Accounting, Economics, Statistics, or related field. - Master's degree or professional certification is a plus. Experience: - 4+ years of experience in data analysis, with a focus on finance, accounting, or economics. - Experience in financial modeling, budgeting, and forecasting. Skills: - Strong analytical, problem-solving, and critical thinking skills. - Proficiency in Excel and data visualization tools. - Experience with statistical analysis and financial modeling software is beneficial. Soft Skills: - Excellent communication skills for presenting data to technical and non-technical stakeholders. - Attention to detail, ability to work under pressure, and strong teamwork skills. Preferred Attributes: - Ability to translate financial data into actionable insights. - Experience in the financial services industry or with financial institutions is advantageous. Compensation: - Competitive salary and benefits package based on experience. This is a full-time position with benefits including cell phone reimbursement, and the work location is in-person with a day shift schedule. Both male and female candidates are encouraged to apply.,

You are a dynamic and results-driven Operations Head responsible for leading and overseeing e-commerce operations with a focus on inventory management, automation, client handling, order management, stock forecasting, and operational excellence. Your role involves building strong relationships with external brands and clients, managing inventory effectively, optimizing order fulfillment processes, leveraging technology for automation, and leading a high-performing operations team. In terms of External Stakeholder Engagement, you will be required to build and maintain strong relationships with external brands and clients to drive collaboration, address concerns, and foster long-term partnerships. You will also serve as the primary liaison for external partners, resolving issues and ensuring alignment with business objectives. Regarding Inventory and Stock Management, your responsibilities include overseeing inventory levels to meet business demands, implementing forecasting models based on historical data and market trends, and creating strategies to avoid stock-outs and overstock scenarios. Your goal is to improve efficiency and profitability through effective inventory management. For Order Management, you will streamline and optimize order processes to ensure accurate and timely fulfillment. Collaboration with cross-functional teams will be essential to address and resolve order-related issues promptly and efficiently. Automation and Process Improvement play a crucial role in your position, as you will leverage technology to automate operational processes, reduce manual errors, and continuously analyze workflows to implement improvements for optimized performance. As a Team Leader, you will lead, mentor, and develop a high-performing operations team. Your focus will be on fostering a culture of accountability, innovation, and excellence. Providing clear direction, setting performance goals, and motivating the team to achieve organizational objectives are key aspects of your leadership role. Operational Efficiency and Reporting are essential components of your responsibilities. You will analyze operational data and metrics to identify trends, gaps, and improvement opportunities. Detailed reports outlining operational performance, challenges, and solutions will be prepared and presented to stakeholders. In terms of Qualifications, you are expected to have a Bachelor's degree in Business Administration, Operations Management, Supply Chain, or a related field (an MBA is preferred). A minimum of 10 years of experience in e-commerce operations, expertise in inventory management, stock forecasting, order management, and client handling are required. Proficiency in inventory management systems, automation tools, and data analysis software is essential. Strong interpersonal, communication, analytical, and problem-solving skills, along with proven leadership experience, are also necessary for this role. Hands-on experience with marketplaces and e-commerce platforms is highly desirable.,

You will be an Applied Economist - Full-Stack Data Science (R + Shiny) Intern at a fast-growing health-tech & wellness startup located in Noida. As part of the role, you will manage the complete data cycle, including extraction, cleaning, analysis, and visualization, to transform complex financial data into actionable insights. Your primary responsibilities will involve working with raw financial and operational data to extract, clean, analyze, and visualize information. You will be expected to create and maintain interactive dashboards using tools like Shiny, automate financial reporting, develop forecasting models, and collaborate with various teams to deliver data-driven insights. To excel in this role, you must have proficiency in R (preferred) or Python for handling real-world data, building Shiny dashboards for real-time insights, and possess strong analytical and problem-solving skills. A good understanding of financial metrics, forecasting, and the ability to communicate insights clearly are essential for success. The ideal candidate will have a background in Economics, Applied Statistics, or Data Science, with fluency in R, especially for dashboarding using Shiny. Additionally, you should have a strong grasp of causal inference, forecasting, and behavioral trends, along with experience in backend deployment for server-side operations. If you are looking for an opportunity to own and lead data-driven projects in a collaborative and learning-focused environment, where your work directly impacts company decisions, then this internship could be the perfect fit for you. Upon demonstrating exceptional performance during the 23-month internship, there is a high likelihood of a full-time job offer.,

You are seeking a Senior AI/ML Architect with a cumulative experience of 10-12 years in software development and/or data analysis/machine learning to join the team in Ahmedabad. This is a full-time, onsite position suitable for individuals enthusiastic about designing and expanding production and enterprise AI/ML systems. Your responsibilities will include designing scalable AI/ML pipelines for training, inference, and deployment, leading MLOps architecture encompassing model versioning, monitoring, and CI/CD, translating business challenges into robust ML solutions, collaborating with cross-functional teams such as Product, Data, and Engineering, implementing responsible AI frameworks focusing on explainability and fairness, selecting and overseeing the AI/ML tech stack spanning cloud services, models, and tools, engaging in brainstorming sessions, and engaging in technical solutioning alongside the business and enterprise architect team, as well as managing client stakeholders effectively. Your expertise should cover Python, TensorFlow/PyTorch/Scikit-learn, MLflow, Airflow, Kubernetes, Docker, working with AWS/GCP/Azure for ML workflows, designing Data lake/Databricks Feature store, tackling model monitoring and drift, and possessing experience in NLP, CV, or forecasting models. Furthermore, it would be advantageous if you have exposure to LLMs, GPT, RAG, LangChain, expertise in GenAI or enterprise AI/ML implementation, and knowledge of vector databases and hybrid architectures. This is a full-time position with the flexibility of working day, morning, night, or US shifts, requiring your physical presence at the work location.,

You will be responsible for managing all accounting operations, including Billing, Debtors, Creditors, GL and Counselling, Cost Accounting, Inventory Accounting, and Revenue recognition. Your tasks will include forecasting monthly, quarterly, and annual results, analyzing financial books, and predicting future trends such as Cash Flow, Fund Flow, and Working Capital. You will coordinate and direct the preparation of the budget and finance forecast, reporting variances. Additionally, you will prepare and publish monthly financial statements for review by the Directors. Developing and documenting business processes and accounting policies to maintain and strengthen internal controls will be a crucial aspect of your role. You will also prepare cost sheets for new operations, conduct risk management, evaluate and decide on investments, and supervise a team of Accountants and Operational Auditors. Managing cash flows, conducting profit and cost analyses, and maintaining relationships with vendors and customers will also be part of your responsibilities. Furthermore, you will be required to set up and oversee the company's Finance IT system, ensure compliance with the law and company policies, develop secure procedures to maintain confidential information, and ensure that all accounting activities and internal audits comply with financial regulations. Consulting board members about funding options, recommending cost-reducing solutions with innovation, and prioritizing tasks will also be essential tasks. Moreover, you will conduct training programs, adhere to audit calendars and their compliance, and deliver monthly financial statements for profitability account-wise, as well as monthly compliance reports as per the Operation Auditor's requirements. You will also provide Fund Flow and Cash Flow status for investment planning purposes. The ideal candidate for this role should have proven work experience as an accountant or in a similar role. You should possess an analytical approach, be self-motivated, demonstrate integrity in all decisions, and be customer-centric both internally and externally. Passionately driving with discipline to achieve stretch commitments, being a good negotiator, understanding supply chain business, and having an in-depth understanding of Cash Flow Management, Balance Sheet, and P&L are crucial skills required for this position. Additionally, you should have hands-on experience with budgeting and risk management, excellent knowledge of data analysis and forecasting models, proficiency in accounting software and MS Office, solid analytical and decision-making skills, leadership abilities, good verbal and written communication skills, meticulous attention to detail, and show respect in all forms of communication. This is a full-time position with benefits including Provident Fund. The preferred education requirement is a Bachelor's degree, and the preferred experience includes 3 years in accounting, total work experience of 3 years, and 1 year of A/R analysis. Work Location: In person,

As a Workday Prism Analytics and Reporting Consultant in HR IT at Deutsche Bank, located in Pune, India, you will be focusing on HR Data and the Workday Domain (Prism and Reporting). Your role will involve understanding HR data transformation using Workday Prism, Reporting, and Core Workday HCM modules. You will be responsible for managing technical resources, solution financials, staff development, and ensuring quality deliverables across HR IT projects. In this role, you will be developing a strong understanding of user reporting needs and recommending implementation strategies using Workday tools. You will design, develop, and tune data visualization tools and reports aligned with business requirements. Additionally, you will create and configure metadata objects, collaborate with ETL developers on report design strategies, and recommend innovative reporting solutions based on cost, effectiveness, and data availability. Your responsibilities will also include building prototypes for demonstrations to stakeholders and senior leaders, providing Subject Matter Expert (SME) support for troubleshooting and BI-driven problem-solving, managing security setup/maintenance for data visualization tools, developing project timelines, documentation, and training materials, and offering post-implementation support and process fine-tuning. You will maintain communication with management and users during development cycles and coordinate user activities to ensure data and system integrity. To excel in this role, you should have experience in designing, building, and maintaining data pipelines/transformations in Workday Prism Analytics, translating business requirements into scalable Prism solutions, optimizing Prism workloads for performance and efficiency, and integrating data from diverse sources into Workday Prism with accuracy. You should also have experience in developing ETL processes for reporting and analytics, building reports, dashboards, and analytics using Workday tools, and collaborating with cross-functional teams to address data needs. At Deutsche Bank, you will receive training and development opportunities to help you excel in your career, coaching and support from experts in your team, and a culture of continuous learning to aid progression. Additionally, you will have access to a range of flexible benefits that you can tailor to suit your needs. If you are looking to join a team that values empowerment, responsibility, commercial thinking, initiative, and collaboration, and celebrates the successes of its people, Deutsche Bank welcomes your application. We promote a positive, fair, and inclusive work environment where all individuals are encouraged to thrive and contribute to the success of the Deutsche Bank Group.,

As the Head of Finance & Accounts at our organization, you will play a crucial role in leading all financial aspects, including planning, accounting, tax compliance, and reporting for our global operations. Collaborating closely with the Founders, CEO, and Leadership Team, you will align finance strategies with our business goals to drive growth and success. Your responsibilities will include partnering with the Leadership Team to develop and execute financial strategies in line with the company's growth objectives. Providing valuable financial insights for business planning, forecasting, and key decision-making will be a key part of your role. In overseeing the India finance operations, you will be responsible for managing end-to-end accounting, tax compliance, and financial reporting for the India entity. Ensuring compliance with Indian GAAP, Companies Act, GST, TDS, and other statutory requirements will be essential. For the U.S. finance operations, you will assist in setting up controls, budgets, and forecasting models to support the smooth financial management of the operations. Maintaining and enhancing internal controls, ensuring audit readiness, and adhering to global financial policies will be part of your governance and compliance responsibilities. You will also coordinate with external auditors, tax consultants, and legal advisors in both geographies. Leading a lean India-based Finance & Accounts team, collaborating with cross-functional teams, and supporting the implementation of finance automation tools and ERP systems are among the team management aspects of the role. The qualifications and experience required for this position include being a Chartered Accountant (CA) or CPA equivalent with 10-15 years of experience in finance leadership roles. Prior experience in managing finance for SaaS, IT/ITES, or global tech companies is advantageous. A strong working knowledge of U.S. GAAP, federal/state tax systems, and cross-border financial management is essential, as well as proven abilities to work across geographies, manage stakeholders, and lead teams. Proficiency in Excel, accounting software such as QuickBooks, Zoho, or NetSuite, and financial modeling is necessary. Desired attributes for the role include high business acumen, attention to detail, ethical integrity in handling financial data, adaptability to a fast-paced, entrepreneurial environment, and excellent communication and leadership skills.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. We are counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself and contribute to creating a better working world for all. We are currently looking for a highly skilled Pharma Forecasting Specialist to join our team. As a key stakeholder in a cross-functional team responsible for forecasting at global, country, and region levels, your role will involve developing brand volume forecasts, conducting strategic long-term brand and franchise forecasting, and solving analytical challenges using quantitative approaches. The ideal candidate will have around 6-8 years of forecasting experience, strong therapeutic area and pharma knowledge, and the ability to recommend assumptions, create concept notes, and deliver presentations. Basic Python coding skills are also required for this role. Key Responsibilities: - Develop brand volume forecasts for short-term and long-term planning. - Provide guidance based on franchise insights for strategic long-term brand and franchise forecasting. - Analyze regional and brand-level challenges quantitatively and perform sensitivity analyses. - Collaborate with cross-functional teams for global, country, and regional forecasting needs. - Maintain accurate forecasts using advanced analytical techniques and forecasting methodologies. - Recommend assumptions and methodologies for forecasting models and prepare concept notes and presentations to communicate findings effectively. - Utilize Python coding skills to automate and enhance forecasting processes. - Collaborate with global teams to gather requirements and deliver insights. - Analyze historical data and market trends to inform forecasting models. - Develop detailed reports and dashboards for forecasting purposes. - Present findings and recommendations to internal stakeholders and executive leadership. - Continuously optimize forecasting processes and methodologies and stay updated with the latest tools and technologies in forecasting and analytics. Key Competencies: - Strong business analysis skills with experience in requirement elicitation, data management, change management, and presentation. - Knowledge of Long Range Forecasting process. - Excellent communication, facilitation, and stakeholder management skills. - Therapeutic area-specific knowledge and pharma experience. - Basic Python coding skills. Desired Skills and Experience: - Extensive experience in business analysis and forecasting within the pharmaceutical industry. - Strong knowledge of one or more pharma therapeutic areas such as Oncology, Vaccines, etc. - Proven track record in developing and maintaining accurate forecasts. - Advanced proficiency in business analysis and forecasting tools. - Basic proficiency in Python coding. - Strong verbal and written communication skills. - Ability to manage tasks independently and proactively. - Strong analytical and problem-solving skills. - Ability to work collaboratively with cross-functional teams and stakeholders. - Personal drive and positive work ethic to deliver results within tight deadlines and demanding situations. Minimum Qualifications: - Bachelor's degree in Business Administration, Data Science, Applied Mathematics, Pharmaceutical Sciences, Business Analytics, Computer Science, Information Systems, or other Quantitative fields. - Experience with tools and techniques like SQL, Tableau, Alteryx, and data processing. - Familiarity with Machine Learning/Statistical Learning and AI and their application cases is a plus. Preferred Qualifications: - Relevant analytical experience in the Pharmaceutical Industry. - Experience in developing and maintaining forecasting models in the pharmaceutical industry. - Expertise in business analysis and forecasting tools. - Basic proficiency in Python coding. - Strong verbal and written communication skills. - Proactiveness and passion to tackle new challenges. - Personal drive and positive work ethic to deliver results in demanding situations. Join EY and be a part of building a better working world. EY's diverse teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate across various domains. Working at EY means asking better questions to find new answers for the complex issues facing our world today.,

Primary responsibilities include, but are not limited to: Responsible for one/multiple therapy areas - demonstrating good pharmaceutical knowledge and project management capability. Responsible for conceptualizing and delivering forecasts and analytical solutions, using both strategic as we'll as statistical techniques within area of responsibility. Drive continuous enhancements to evolve the existing forecasting capabilities in terms of value-add, risk/opportunity/uncertainty- identify and elevate key forecastinglevers/insights/findingsto inform decision making. Collaborate across stakeholders -our Manufacturing Division, Human Health, Finance, Research, Country, and senior leadership - to build and robust assumptions, ensuring forecast accuracy improves over time to support decision making. Drive innovation and automation to bring in robustness and efficiency gains in forecasting/process; incorporate best-in-class statistical forecasting methods to improve the accuracy. Communicate effectively across stakeholders and proactively identify and resolve conflicts by engaging with relevant stakeholders. Responsible for delivery of forecasts in a timely manner with allocated resources Determine the optimal method for forecasting, considering the context of the forecast, availability of data, the degree of accuracy desired, and the timeline available. Contribute in evolving our offerings through innovation, standardization/ automation of various offerings, models and processes. Qualification and skills: Engineering / Management / Pharma post-graduates with 3+ years of experience in the relevant roles; with 1-2 years of experience in pharmaceutical strategic forecasting or analytics Proven ability to work collaboratively across large and diverse functions and stakeholders. Ability to manage ambiguous environments, and to adapt to changing needs of business. Strong analytical skills; an aptitude for problem solving and strategic thinking. Working knowledge of Monte Carlo simulations and range forecasting Ability to synthesize complex information into clear and actionable insights. Proven ability to communicate effectively with stakeholders. Solid understanding of pharmaceutical development, manufacturing, supply chain and marketing functions

Primary responsibilities include, but are not limited to: Responsible for one/multiple therapy areas - demonstrating good pharmaceutical knowledge and project management capability. Responsible for conceptualizing and delivering forecasts and analytical solutions, using both strategic as we'll as statistical techniques within area of responsibility. Drive continuous enhancements to evolve the existing forecasting capabilities in terms of value-add, risk/opportunity/uncertainty- identify and elevate key forecastinglevers/insights/findingsto inform decision making. Collaborate across stakeholders -our Manufacturing Division, Human Health, Finance, Research, Country, and senior leadership - to build and robust assumptions, ensuring forecast accuracy improves over time to support decision making. Drive innovation and automation to bring in robustness and efficiency gains in forecasting/process; incorporate best-in-class statistical forecasting methods to improve the accuracy. Communicate effectively across stakeholders and proactively identify and resolve conflicts by engaging with relevant stakeholders. Responsible for delivery of forecasts in a timely manner with allocated resources Determine the optimal method for forecasting, considering the context of the forecast, availability of data, the degree of accuracy desired, and the timeline available. Contribute in evolving our offerings through innovation, standardization/ automation of various offerings, models and processes Qualification and skills: Engineering / Management / Pharma post-graduates with 3+ years of experience in the relevant roles; with 1-2 years of experience in pharmaceutical strategic forecasting or analytics Proven ability to work collaboratively across large and diverse functions and stakeholders. Ability to manage ambiguous environments, and to adapt to changing needs of business. Strong analytical skills; an aptitude for problem solving and strategic thinking. Working knowledge of Monte Carlo simulations and range forecasting Ability to synthesize complex information into clear and actionable insights. Proven ability to communicate effectively with stakeholders. Solid understanding of pharmaceutical development, manufacturing, supply chain and marketing functions

We are looking for a team member withinstrategicforecasting team based out of Pune. Robust forecasting is a priority for businesses, as the product potential has major implicationstoa wide range of disciplines. Whileforecasting ofrealistic potential can bearrivedthrough both qualitative and quantitative methods, the challenge lies in selecting and deploying the rightmethodology. Thus, it is essential to have someone who understands and aspires to implement advanced analytics techniques such as Monte Carlo simulations, agent-based modeling, conjoint frameworks, NLP, clustering etc within forecasting vertical. Primary responsibilities include, but are not limited to: Responsible forone/multiple therapy areas -demonstratinggood pharmaceutical knowledge and project management capability Responsible forconceptualizing anddeliveringforecasts and analytical solutions, using both strategic as we'll as statistical techniqueswithin area of responsibility Drive continuous enhancements to evolve the existing forecasting capabilities in terms of value-add, risk/ opportunity/uncertainty -identifyand elevate key forecasting levers/insights/findings to inform decision making Collaborate across stakeholders -our Manufacturing Division, Human Health, Finance,Research,Country, and senior leadership - tobuildandrobust assumptions,ensuring forecast accuracy improves over time to support decision making Drive innovation and automation to bring inrobustness andefficiency gainsinforecasting/process; incorporate best-in-class statistical forecasting methods to improve theaccuracy Communicate effectively across stakeholders and proactivelyidentifyand resolve conflicts by engaging with relevant stakeholders Responsiblefordelivery of forecastsin a timely mannerwithallocatedresources Determinetheoptimalmethod for forecasting, considering the context of the forecast, availability of data, the degree of accuracy desired, and the timeline available Contributeinevolving our offerings throughinnovation,standardization/ automation of various offerings,modelsand processes Qualification and skills: Engineering / Management / Pharmapost-graduates with3+years of experience in the relevantroles; with1-2years of experience inpharmaceuticalstrategicforecastingor analytics Proven ability to work collaboratively across large and diverse functions and stakeholders Ability to manage ambiguous environments, and to adapt to changing needs of business Strong analytical skills; an aptitude for problem solving and strategic thinking Working knowledge ofMonte Carlo simulations and range forecasting Ability to synthesize complex information into clear and actionable insights Proven ability to communicate effectivelywithstakeholders Solid understanding of pharmaceutical development, manufacturing, supply chain and marketing functions

Description We are seeking a Scheduling and Forecasting Lead to join our team in India. The ideal candidate will be responsible for overseeing scheduling and forecasting activities, ensuring that projects are delivered on time and resources are effectively utilized. Responsibilities Develop and implement scheduling and forecasting processes to optimize resource allocation and workload management. Analyze historical data to create accurate forecasts for project timelines and resource needs. Collaborate with cross-functional teams to understand project requirements and adjust schedules accordingly. Monitor and report on scheduling performance metrics, identifying areas for improvement. Provide training and support to team members on scheduling tools and best practices. Skills and Qualifications Bachelor's degree in Business Administration, Operations Management, or a related field. 5-7 years of experience in scheduling, forecasting, or project management. Proficiency in scheduling software (e.g., Microsoft Project, Primavera) and data analysis tools (e.g., Excel, SQL). Strong analytical skills with the ability to interpret complex data and make informed decisions. Excellent communication and interpersonal skills to work effectively with team members and stakeholders.

Exp - 6- 10 Years Level - Senior Consultant Skill - ML OPS with Gen AI Location - Bengaluru Event on 9th May in Bangalore location Hybrid Mode (2 days WFO in a week) Education - B.Tech/B.E/MS/MBA ML OPs Engineer Required: 6-10 years of Consulting, Data, and Analytics experience Experience in descriptive & predictive analytics, both theoretical and practical knowledge in basic ML algorithms like linear and non-linear regression, linear and non-linear classification, dimensional reduction, anomaly detection, statistical concepts and techniques like theoretical distributions, parametric and non-parametric inference 6+ years of experience implementing & executing data science projects throughout the entire lifecycle: Developing/designing and implementing solutions E2E in production. Strong knowledge of Python or R Programming experience with Node.js, SQL, Java, JavaScript OR PERL Experience in cloud-based data platforms on AWS, GCP and Azure Understanding of multi-tier application architectures Ability to develop, test and maintain programming environments and architectural standards Foundational understanding of application development lifecycle and using tools like ANT, Maven, Gradle and Version control (SVN OR GIT OR BitBucket) Experience with working in an agile development lifecycle and continuous integration processes using tools such as Jenkins Experience in doing deployments for Java, .NET , Angular , Node.js , PHP, Python applications using Jenkins/Bamboo Experience on code quality assessment tools and integration with CI tool Strong logical structuring and problem-solving skills Strong verbal, written and presentation skills Preferred Additional Experience in using Spark either with Scala or Python Experience with different database types like RDS and NoSQL Experience in cloud deployments Knowledge of working in a Linux environment Strong understanding and experience configuring, managing and supporting applications using tools such as OpsWorks, Datadog and CloudWatch on AWS Experience in Docker /Swarm / Kubernetes Experience or exposure to Test Driven Development Experience (Junit / TestNG) Experience on Behavior Driven Development Experience (Cucumber / Selenium) Expertise in any commercial data visualization tool such as Tableau, Qlik, Power BI Experience with real time data movement solutions that use security and encryption protocols while data is in transit