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Location: Bangalore, India
Overview: Join one of the world’s leading AI-driven supply chain solutions companies, recognized by Glassdoor as one of the “Best Places to Work.” We are looking for a skilled individual with a strong foundation in statistical and analytical methods, who can also collaborate effectively with teams during deployment and operational phases. Expertise in implementing industry best practices is a plus. Scope: As a Data Science Consultant, you will be a key player in onboarding clients onto Blue Yonder’s Luminate Planning suite of solutions and providing ongoing support through our Data Science as a Service (DSaaS) offering. Our team currently consists of approximately 50 associates in India, part of a larger global team spanning the US and Germany, and is poised for rapid growth. Strong communication and leadership abilities are essential, as you will mentor junior team members. What you’ll do: Select, build, and optimize classifiers using advanced machine learning techniques. Conduct data mining using cutting-edge methods and tools. Integrate third-party data sources to enhance the company’s datasets when necessary. Refine data collection procedures to ensure relevant data is available for analytic systems. Process, cleanse, and verify the integrity of data used for analysis. Perform ad-hoc analysis and present results clearly to stakeholders. Address customer concerns regarding forecasting issues and data quality, and build utilities to perform forecasting checks.
What we are looking for: Solid understanding of machine learning algorithms (e.g., Linear Regression, K-Means Clustering, Naive Bayes). Proficiency in data science toolkits such as Python, NumPy, Pandas, Matplotlib, Seaborn (expertise in at least two is required). Experience in supply chain concepts and statistical analysis. Knowledge of operations research concepts, including integer, linear, and stochastic programming. Strong critical and operational thinking skills. Familiarity with data visualization tools such as Streamlit and Power BI. Proficiency in query languages such as SQL and Snowflake, or Python-based SQL wrappers. Solid grounding in applied statistics, including distributions, hypothesis testing, and regression analysis. Bonus
skills: familiarity with Dask/parallel processing, Airflow orchestration tools, Postman/API integration. Strong scripting and programming capabilities. Data-driven mindset with an eye for detail. Educational Background: Bachelor’s or master’s degree in computer science with a focus on Data Science.
Experience: 5 to 8 years of relevant experience. Our Values If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success – and the success of our customers. Does your heart beat like ours? Find out here: Core Values All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
Job data: Headcount Labs (headcountlabs.com), ODbL 1.0. The job description belongs to the employer. Location data © OpenStreetMap contributors and Overture Maps.
Most Consultancy Jobs posts in Bangalore ask for 3–6 years of experience (39% of 41 that say).
From live job posts on CoreHRx, updated 5 Nov 2026. Skill figures count posts that list their skills; salary figures only posts that show a salary.
The post asks for 5–8 Yrs experience.
In Bangalore.
It is a full time job.
Interview preparation · 60 questions
This page helps Indian job seekers prepare for Python interviews for backend, data engineering and data analyst roles, whether you are a fresher facing your first technical round or an experienced developer aiming for a senior position. It has 60 questions in three levels, easy, medium and hard, each with a concise sample answer and, where it helps, runnable Python 3.12 code. Topics include data structures, OOP, generators, decorators, the GIL and concurrency, type hints, testing and performance. Answer each question aloud in your own words first, then compare with the sample answer and run the code to check your understanding.
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