About the Role & Team

We are hiring a Senior Forecasting & Machine Learning Engineer to join IDC’s Central Forecast Models team. This role is critical to ensuring continuity of our core forecasting capabilities while accelerating the adoption of advanced AI‑driven approaches across our forecasting ecosystem. As a senior individual contributor, you will design, maintain, and scale production‑grade forecasting systems that support forecasting for IDC’s data product line. Operating at the intersection of data science, machine learning, and engineering, you will be responsible for sustaining model accuracy, improving performance and scalability, and driving automation across the full model lifecycle from development and validation to deployment and monitoring.

This role offers a significant opportunity to modernize forecasting capabilities using advanced AI techniques, including machine learning and deep learning models, neural networks, pretrained and foundation time series models, and generative AI. You will explore and integrate emerging AI approaches, Python‑based ML/AI frameworks, and intelligent automation to improve forecast quality, adaptability, and efficiency. A strong emphasis is placed on building resilient, explainable, and production ready solutions aligned with enterprise standards.

You will collaborate closely with data, platform, and analytics teams to ensure seamless model integration, robust pipelines, and scalable execution. Through this work, you will help deliver more accurate, efficient, and AI‑enabled forecasts, directly supporting strategic planning, improved business outcomes, and long‑term organizational growth.

What You’ll Do

• Develop, enhance, and maintain central forecasting models supporting IDC’s data product deliverables
• Drive automation of forecasting workflows and pipelines to improve efficiency and scalability
• Integrate and operationalize models within the existing platform (Forecasting Engineering, Reporting, and Data Automation)
• Apply and experiment with advanced techniques including Machine Learning (ML), Deep Learning (DL), Neural Networks (NN), pretrained time series models, and Generative Artificial Intelligence (GenAI)
• Deploy models in production environments and ensure stability and performance
• Perform model testing, validation, and performance monitoring to ensure accuracy and reliability
• Manage code, versioning, collaboration, and follow best development practices

What You Bring 

Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Operations Research (OR), Economics/Econometrics, or a related quantitative field

Experience:

• 5 years of relevant experience in data science, forecasting, or machine learning roles
• 5+ years of relevant experience in data science, forecasting, machine learning, or related roles
• Proven experience working with time series forecasting models in large scale, data intensive environments

Technical Skills:

• Strong proficiency in Python and common data science and ML libraries (e.g., pandas, NumPy, scikit learn, TensorFlow or similar frameworks)
• Solid understanding of and hands on experience with time series forecasting methods and models
• Practical experience with Machine Learning (ML), Deep Learning (DL), Neural Networks (NN), including pretrained and foundation models, and Generative AI (GenAI) approaches
• Experience working with cloud based data platforms or warehouses (e.g., Snowflake or comparable technologies)
• Experience with model deployment, server or cloud execution environments, and automated pipelines (e.g., CI/CD, scheduled retraining, monitoring)
• Familiarity with LLM based solutions and AI frameworks (e.g., transformer architectures, model orchestration, or AI service APIs) for enhancing forecasting, automation, or insight generation

Personal Attributes:

• Strong problem-solving and analytical thinking skills
• Ability to work independently as an individual contributor
• Attention to detail with a focus on model accuracy and reliability
• Adaptability to work across both data science and engineering tasks
• Good English communication skills to collaborate with cross-functional teams

Travel Requirement: Minimal to no travel required (<10%)

Work Model: Hybrid (flexible based on team and project needs)

Why This Role Stands Out
At IDC, your work helps shape how the world understands technology and where it goes next. You collaborate with curious, high-caliber colleagues who value rigor, integrity, and shared success. As the premier global provider of trusted technology intelligence, IDC equips business and technology leaders with the evidence they need to make confident decisions. Our insights inform strategy, investment, and innovation across industries and regions.

Recognized by IIAR as Analyst Firm of the Year for five consecutive years, IDC sets the standard for credibility and impact. With more than 1,000 analysts worldwide and a truly global perspective, we combine deep expertise with practical relevance. Here, your ideas matter, your voice is heard, and your contributions provide the insights leaders rely on every day. It is meaningful work, backed by a culture that supports growth, collaboration, and long-term career development with a globally respected brand.

What We Offer

• A permanent, full-time position with a hybrid working module
• A competitive benefit package with additional companywide days off (1 day in the summer and global shutdown from 24th Dec to 1st Jan 26) 
• Individualized Culture: An environment where you can explore new areas outside your specialty and stay engaged with work you enjoy
• A position in a highly professional and globally respected market research and advisory firm, where initiative leading to results is rewarded

Equal Opportunity Employer

IDC is committed to providing equal employment opportunities for all qualified persons. Employment eligibility verification required. We participate in E-Verify. #LI-PC