Salary
≈ $14k – $31k per year (Estimated)
Location
In office (Bengaluru)
Experience
2+ years exp
Employment
Full-Time
First seen by Alion on Oct 29, 2026.
Overview
Company
Impact
Profile match
D Square Consulting delivers IT services, HR staffing, digital marketing & business consulting under one roof. Trusted by enterprises. Talk to us today.
JD – Data Scientist (Forecasting Focus)
This is a full-time opportunity with D Square Consulting Services Pvt. Ltd.
Experience: 2+ years
Location: Bangalore (On-site)
The candidate who can join within 30 days may apply
Job Summary
We are looking for a Data Scientist specialising in forecasting and predictive analysis. The role involves building robust forecasting models to drive supply chain, sales, or demand planning decisions. Candidates should be comfortable working independently while delivering business-aligned solutions.
Must-Have Skills & Tools
- Advanced proficiency in Python and SQL
- Prior experience in forecasting models and ML models, exposure to pipeline automation.
- Hands-on experience with time-series analysis and forecasting techniques
- Strong knowledge of feature engineering and model deployment
- Ability to interpret results, explain model outcomes, and present insights clearly
- Knowledge of Streamlit and frontend applications.
- Good understanding of data visualisation tools (Power BI/Tableau) and automation techniques
Good to Have
- Prior experience developing sales, demand, or inventory forecasting models
- Familiarity with ML model lifecycle and pipeline automation (Airflow, MLflow, etc.)
- Understanding of business operations and financial metrics related to forecasting
Roles & Responsibilities
- Design and implement accurate forecasting models using statistical and machine learning methods
- Analyse time-series data to identify patterns and seasonality
- Work closely with business stakeholders to provide actionable forecasting insights
- Support automation and optimisation of data pipelines for continuous model improvement
- Communicate key findings and recommendations effectively across teams
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