Data Scientist

D Square Consulting Services Pvt Ltd; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

D Square Consulting Services Pvt Ltd in Bengaluru is seeking a Data Scientist with 2-3 years of hands-on experience to bridge data workflows with business operations. You will translate business problems into analytical solutions using SQL and Python, building baseline ML models from relational datasets.

Candidates should have strong stats, EDA, and the ability to present findings to non-technical stakeholders. Nice to have Power BI, Tableau, and Streamlit exposure.

Qualifications

• 2-4 years of hands-on Python (Pandas, NumPy, Scikit-learn) and SQL.
• Solid ability to grasp business contexts, identify operational pain points, and tie analytical outputs to KPIs.
• Foundational knowledge of statistics, hypothesis testing, and baseline ML algorithms.
• Basic understanding of data governance, quality, cataloguing, lineage, and compliance.

Responsibilities

• Partner with stakeholders to break down complex business problems into analytical tasks.
• Write optimized SQL queries and Python scripts to extract and preprocess data.
• Build, evaluate, and interpret baseline ML and statistical models to support decisions.
• Maintain data governance, data hygiene, and privacy across analytics workflows.
• Deliver clear findings and visual summaries to non-technical teams.

Skills

Python

SQL

Pandas

NumPy

Scikit-learn

Data storytelling

Business understanding

Tools

Power BI

Tableau

Streamlit

Job description

Notice Period: Candidates who can join immediately or within 30 days are preferred

(Note: Focus is strictly on classical ML, relational data, and business analytics—not suitable for candidates primarily focused on GenAI or LLMs.)

Job Summary

We are looking for a Data Scientist with 2-3 years of experience to join our team in Bangalore. In this role, you will bridge technical data workflows with core business operations, translating business problem statements into actionable analytical solutions. You will leverage strong hands-on SQL and Python skills to build baseline machine learning models and extract high-impact insights from relational datasets.

Must-have skills

• Technical Skills: 2-4 years of strong, hands-on experience in Python (Pandas, NumPy, Scikit-learn) and SQL for complex querying and data transformation.
• Business Understanding: Solid ability to grasp business contexts, identify operational pain points, and tie analytical outputs back to business KPIs.
• Core DS & ML: Strong foundational knowledge of applied statistics, hypothesis testing, exploratory data analysis, and baseline machine learning algorithms (regression, classification, clustering).
• Data Governance: Basic understanding of data governance, data quality standards, cataloguing, lineage, and compliance principles.
• Communication: Clear communication and data storytelling skills to present technical outcomes to non-technical audiences.

Good to Have

• Hands-on experience with visualisation tools such as Power BI or Tableau.
• Basic exposure to building quick interactive prototypes using Streamlit.
• Familiarity with data pipelines, workflow automation, or basic model lifecycle management.

Key Responsibilities

• Partner with stakeholders to break down complex business problems into structured analytical tasks.
• Write optimised SQL queries and Python scripts to extract, clean, preprocess, and validate datasets from relational databases.
• Build, evaluate, and interpret baseline machine learning and statistical models to support operational and strategic decision-making.
• Maintain data governance, data hygiene, and privacy standards across all analytics workflows.
• Deliver clear findings, reports, and visual summaries to non-technical business teams.