Data Scientist – Forecasting & Planning (RetailAI)

SymphonyAI; Bengaluru; On-site; INR 1,200,000 - 2,000,000; Full time

Benefits offered by this job

Competitive salary

Global exposure

Growth opportunities

Collaborative environment

Job summary

SymphonyAI, a leading enterprise AI solutions provider, seeks a Consultant - Forecaster / Data Scientist to support demand forecasting and replenishment for UK retail clients. You will apply forecasting models, ML techniques, and data analysis to improve forecast accuracy and planning performance.

The role is customer-facing, involving production support, troubleshooting, and continuous improvement of forecasting processes, with collaboration across engineering and product teams.

Qualifications

• Bachelor’s degree in data science, statistics, maths, engineering, or related field.
• 3–6 years of experience in demand forecasting or analytics.
• Strong Python, Pandas, and data analysis skills.
• Experience with Docker, GitHub, and model deployment or support.
• Excellent analytical and communication skills.

Responsibilities

• Provide daily demand forecasts to customers and ensure forecasts are delivered accurately and on time.
• Run and monitor the DFAI module to support forecasting and replenishment activities.
• Analyze forecast performance and recommend corrective actions.
• Review forecast accuracy metrics and identify opportunities to improve model performance.
• Engage with customer stakeholders and prepare reports and dashboards.

Skills

Python

Pandas

Forecasting

Data analysis

Docker

GitHub

Communication

Education

Bachelor’s degree in Data Science, Statistics, Mathematics, Engineering, Supply Chain, Computer Science, or a related field

Tools

Docker

GitHub

Polars

Job description

Introduction

Consultant - Forecaster / Data Scientist

Location:

Bengaluru, India

About Us

SymphonyAI is a leading enterprise AI solutions provider helping retailers and manufacturers optimize business operations through advanced analytics, planning, and automation solutions. Our products support global organizations in improving supply chain efficiency, inventory performance, forecasting accuracy, and customer satisfaction.

We are committed to delivering measurable outcomes for our clients through innovative technology, deep domain expertise, and strong customer partnerships.

Job Description

Job Summary

We are looking for a Consultant - Forecaster / Data Scientist to support demand forecasting and replenishment activities for retail customers.

This is a customer-facing role focused on ongoing production support for a UK-based retailer. The ideal candidate will have experience in demand planning, forecasting models, machine learning, and data analysis, along with the ability to work closely with customers to improve forecast accuracy and optimize planning performance.

The role requires strong analytical thinking, hands‑on technical capability, and the ability to identify trends, troubleshoot issues, and recommend continuous improvements to forecasting processes.

Key Responsibilities

Forecasting & Planning Support

• Provide daily demand forecasts to customers and ensure forecast outputs are delivered accurately and on time.
• Run and monitor the DFAI module to support forecasting and replenishment activities.
• Maintain forecasting configurations, parameters, and business rules to ensure optimal system performance.
• Analyze forecast performance, identify root causes for variances, and recommend corrective actions.

Data Analysis & Model Performance

• Review forecast accuracy metrics and identify opportunities to improve model performance.
• Analyze large volumes of retail and supply chain data to identify patterns, trends, and business insights.
• Work with internal teams and customer stakeholders to improve forecast quality and replenishment effectiveness.
• Support continuous improvement initiatives by recommending enhancements to forecasting approaches, parameters, and processes.

Technical Support & Automation

• Use Python and related tools to automate processes, perform data analysis, and support model monitoring activities.
• Work with Docker, GitHub, and related development tools to manage code, deployments, and workflows.
• Support issue resolution, troubleshooting, and validation of forecast outputs.
• Collaborate with engineering and product teams to address system issues and implement improvements.

Customer Engagement & Reporting

• Engage directly with customer stakeholders to review forecast results, discuss performance, and address concerns.
• Prepare reports, dashboards, and summaries related to forecast accuracy and business performance.
• Support regular customer meetings and provide recommendations for process optimization.
• Maintain clear documentation of forecasting logic, model assumptions, and process updates.

Qualifications

• Bachelor’s degree in Data Science, Statistics, Mathematics, Engineering, Supply Chain, Computer Science, or a related field.
• 3-6 years of experience in demand forecasting, data science, supply chain analytics, or retail planning.
• Strong understanding of demand planning, replenishment, and forecast accuracy measurement.
• Hands‑on experience with Python, Pandas, and data analysis techniques.
• Experience with Docker, GitHub, and model deployment or support processes.
• Strong analytical, problem‑solving, and troubleshooting skills.
• Ability to work in a customer‑facing environment and collaborate effectively with multiple stakeholders.
• Strong communication and presentation skills.

Preferred Qualifications

• Experience working with machine learning models and forecasting algorithms.
• Familiarity with Polars and other modern data processing frameworks.
• Exposure to retail demand forecasting and replenishment systems.
• Experience supporting UK-based retail customers or working in managed services environments.
• Knowledge of supply chain planning concepts and inventory optimization.

What We Offer

• Competitive salary and benefits package.
• Opportunity to work on high-impact retail forecasting and supply chain programs.
• Exposure to leading global retailers and advanced AI-driven planning solutions.
• A collaborative and fast-paced work environment.
• Learning and growth opportunities across retail, supply chain, and data science domains.