Develop forecasting, predictive analytics, dashboards, and machine learning solutions to improve planning performance and business outcomes. Analyze complex datasets, demand patterns, seasonality, and business drivers; identify forecast bias; and recommend process improvements. Partner with planning, commercial, IT, and external stakeholders to deliver analytical projects from discovery through deployment. Communicate insights, evaluate emerging technologies, and support automation and continuous improvement initiatives.
Job Summary
Be part of a collaborative, innovative, and solution-oriented team where together we can achieve greatness and make a real impact. Your potential is our inspiration.
Where You'll Make a Difference
- Develop and enhance forecasting, predictive analytics, and decision-support solutions that improve planning performance and business outcomes.
- Analyze demand patterns, seasonality, market trends, and key business drivers to generate actionable insights.
- Drive forecast accuracy improvements by identifying sources of bias and recommending process enhancements.
- Design, develop, and maintain dashboards, key performance indicators, and analytical tools that support data-driven decision making.
- Partner with Demand Planning, Commercial, Supply Planning, Information Technology, and external stakeholders to translate business challenges into analytical solutions.
- Prepare, validate, and analyze large, complex datasets to support forecasting, scenario planning, and performance management activities.
- Develop, test, deploy, and maintain statistical and machine learning models that address business needs and improve planning capabilities.
- Support end-to-end project delivery, including discovery, design, development, testing, deployment, adoption, and knowledge transfer.
- Evaluate emerging technologies, analytical methodologies, and automation opportunities that can drive continuous improvement and long-term business value.
What Makes You the Right Fit
- Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Operations Research, Supply Chain, Industrial Engineering, Computer Science, or a related field.
- Experience in Data Science, Advanced Analytics, Forecasting, Demand Planning, Supply Chain Analytics, or a related discipline.
- Proven experience delivering analytical solutions that generate measurable business value.
- Strong understanding of statistical analysis, forecasting methodologies, and predictive modeling techniques.
- Experience developing and implementing machine learning models in a business environment.
- Proficiency in Python and/or R for data analysis, modeling, and automation.
- Strong knowledge of Structured Query Language (SQL), data management, and data preparation practices.
- Experience using data visualization and reporting tools to communicate insights effectively.
- Excellent communication and stakeholder management skills with the ability to explain complex concepts to technical and non-technical audiences.
How Would You Stand Out?
- Experience supporting Sales and Operations Planning (S&OP) or Integrated Business Planning processes.
- Knowledge of demand forecasting platforms, supply chain planning systems, or advanced analytics technologies.
- Demonstrated continuous improvement mindset with a passion for innovation, automation, and capability building.
Why Choose Us?
- Opportunity to work on high-impact global initiatives that shape planning and decision-making capabilities.
- Exposure to cross-functional teams and senior business stakeholders across multiple regions.
- Collaborative and inclusive work environment that values innovation and diverse perspectives.
- Continuous learning and professional development opportunities.
- Access to advanced technologies, analytical tools, and digital transformation initiatives.
- Competitive rewards package and flexible work arrangements based on local policies.
We are a global leader in taste, scent, and nutrition, offering our customers a broader range of natural solutions and accelerating our growth strategy. At IFF, we believe that your uniqueness unleashes our potential. We value the diverse mosaic of the ethnicity, national origin, race, age, sex, or veteran status. We strive for an inclusive workplace that allows each of our colleagues to bring their authentic self to work regardless of their religion, gender identity & expression, sexual orientation, or disability.
Visit IFF.com/careers/workplace-diversity-and-inclusion to learn more
Similar Jobs
Aerospace • Artificial Intelligence • Robotics • Defense
Develop and deploy machine learning and data science solutions for mission planning, situational awareness, workflow automation, predictive modeling, and operational decision support. Process multimodal datasets including drone sensor, geospatial, time-series, text, and unstructured data. Build, evaluate, optimize, document, and productionize models while collaborating with engineering, product, and domain teams. Apply classical machine learning, deep learning, language models, and AI ethics practices across the full data science lifecycle.
Top Skills:
Ci/CdCnnsDockerGeopandasGisGitGoogle Cloud PlatformHugging Face TransformersJupyter NotebooksKerasLstmsMlflowNumpyPandasPythonPyTorchQgisRasterioRest ApisRnnsScikit-LearnScipyTensorFlowTensorrtTransformersWeights & BiasesXgboost
Aerospace • Artificial Intelligence • Robotics • Defense
Develop and optimize large language models and NLP capabilities for decision support, mission planning, workflow automation, and situational awareness. Responsibilities include data preprocessing, model training and fine-tuning, RAG and agentic system development, evaluation, deployment, monitoring, documentation, and collaboration with engineering and product teams. The role requires strong Python, deep learning, LLMOps, cloud, and MLOps expertise, plus knowledge of responsible AI and bias mitigation.
Top Skills:
AwqAWSAzureCi/CdClaudeDockerGeminiGemmaGgufGitGCPGptGptqHugging Face DatasetsHugging Face TransformersJupyterKerasKubernetesLangchainLangfuseLanggraphLangsmithLlamaLlama.CppLlamaindexMistralMlflowOllamaPeftPgvectorPythonPyTorchQdrantQwenRagasSpacyTensorFlowTensorrt-LlmTgiTrlVertex AiVllmWeaviateWeights & Biases
Insurance • Consulting
Develop machine learning and analytics solutions using large-scale datasets. Responsibilities include feature engineering, predictive modeling, workflow optimization, customer implementations, production deployments, stakeholder collaboration, technical training, and resolving data-related challenges. The role requires Python, PySpark, machine learning pipelines, MLflow or Airflow, statistical modeling, and strong communication skills, with preferred experience in fraud detection, risk analytics, compliance, cloud environments, and model monitoring.
Top Skills:
AirflowSparkBig Data AnalyticsCloud-Based Data And Machine Learning EnvironmentsFeature EngineeringMachine LearningMachine Learning PipelinesMlflowPysparkPythonSQLStatistical Analysis
What you need to know about the Hyderabad Tech Scene
Because of its proximity to leading research institutions and a government committed to the city's growth, Hyderabad's tech scene is booming. With plans to establish India's first "AI city," the city is on track to become one of the world's most anticipated tech hubs, with companies like TransUnion, Schrödinger and Freshworks, among others, already calling the city home.
