32 Forecasting Models Jobs - Page 2

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