Data Scientist (2-3 Years ) Gurugram

Boston Consulting Group (BCG); Gurugram District; In loco; INR 1.200.000 - 2.400.000; Tempo pieno

Descrizione del lavoro

Boston Consulting Group (BCG) in Gurugram seeks a Data Scientist with 2–3 years of experience in advanced analytics, statistical modelling, machine learning, and predictive analytics.

You will work with consulting, product, and client teams to develop data-driven solutions, deliver actionable business insights, and deploy AI/ML solutions for business challenges across industries.

Competenze

• 2–3 years of experience in Data Science / Advanced Analytics.
• Strong proficiency in Python and SQL.
• Knowledge of statistics, hypothesis testing, sampling, and interpretation.
• Hands-on experience in data mining and predictive modelling.
• Experience with ML algorithms: Linear & Logistic Regression, Random Forest, XGBoost / Boosted Trees, clustering, time series.

Mansioni

• Develop and deliver analytical solutions using statistical methods and machine learning techniques.
• Perform data mining, predictive modelling, forecasting, and advanced analytics.
• Work with consulting and product teams to understand business requirements and develop analytical solutions.
• Translate complex business challenges into data-driven insights and actionable recommendations.
• Build models for segmentation, optimization, personalization, churn prevention, and revenue enhancement.
• Deploy AI/ML solutions on client sites and support implementation activities.
• Prepare analytical reports, dashboards, presentations, and business insights.
• Lead analytical workstreams independently and support junior team members.
• Contribute to reusable analytical assets, methodologies, documentation, and team knowledge.
• Collaborate with clients and stakeholders through interviews, workshops, and project discussions.

Conoscenze

Data Science

Python

SQL

Statistics

Machine Learning

Time Series

GenAI

Formazione

Bachelor's / Master's degree

Strumenti

Airflow

MLflow

Docker

Git

PySpark

Descrizione del lavoro

Location: Gurugram

Experience: 2–3 Years
Employment Type: Full-Time, Permanent
Department: Data Science & Analytics
Role Category: Data Science & Machine Learning

Job Summary

We are looking for a skilled Data Scientist with 2–3 years of experience in advanced analytics, statistical modelling, machine learning, and predictive analytics.

The candidate will work closely with consulting, product, and client teams to develop data-driven solutions, deliver actionable business insights, and deploy AI/ML solutions for business challenges across multiple industries.

Key Responsibilities

• Develop and deliver analytical solutions using statistical methods and machine learning techniques.
• Perform data mining, predictive modelling, forecasting, and advanced analytics.
• Work with consulting and product teams to understand business requirements and develop analytical solutions.
• Translate complex business challenges into data-driven insights and actionable recommendations.
• Build models for segmentation, optimization, personalization, churn prevention, and revenue enhancement.
• Deploy AI/ML solutions on client sites and support implementation activities.
• Prepare analytical reports, dashboards, presentations, and business insights.
• Lead analytical workstreams independently and support junior team members.
• Contribute to reusable analytical assets, methodologies, documentation, and team knowledge.
• Collaborate with clients and stakeholders through interviews, workshops, and project discussions.

Mandatory Technical Skills

• 2–3 years of relevant experience in Data Science / Advanced Analytics.
• Strong proficiency in Python and SQL.
• Good knowledge of statistics, hypothesis testing, sampling, and statistical interpretation.
• Hands‑on experience in data mining and predictive modelling.
• Experience with machine learning algorithms:
  • Linear & Logistic Regression
  • Decision Trees, Random Forest, XGBoost / Boosted Trees
  • Clustering – K-means, DBSCAN
  • Time Series – SARIMAX, Prophet
• Experience with at least one cloud platform: AWS, Azure, or GCP.
• Working knowledge of AutoML solutions such as SageMaker or Azure ML.
• Experience with data management tools such as Alteryx, MS Access, or RDBMS.
• Knowledge of ML deployment tools such as Airflow, MLflow, Luigi, or Docker.
• Exposure to data warehouse platforms such as Teradata, Azure SQL DW/Synapse, Redshift, or BigQuery.
• Experience with Git, GitHub, or GitLab.
• Hands‑on exposure to GenAI tools and technologies.

Technical Tools & Platforms

• Programming: Python, SQL; R / SAS / PySpark
• Data Management: Alteryx, MS Access, RDBMS
• ML Deployment: Airflow, MLflow, Luigi, Docker
• Cloud: AWS, Azure, GCP
• Data Warehouse: Teradata, Synapse, Redshift, BigQuery
• Version Control: Git, GitHub, GitLab
• GenAI: OpenAI, Google PaLM/BERT, Hugging Face
• IDE: VS Code, PyCharm
• Reporting: MS Excel, PowerPoint, Word

Functional Skills

• Advanced Analytics and Predictive Modelling
• Forecasting and API Automation
• Product Assortment Optimization
• Sales Force Effectiveness
• Personalization and Loyalty Programs
• Labour Optimization
• Customer Segmentation and Revenue Enhancement
• Cross-selling, Upselling, and Offer Recommendations
• Customer Lifetime Value (LTV) Maximization
• Churn Prediction and Prevention

Good to Have

• Experience working with global organizations or professional services/consulting firms.
• Exposure to GenAI, LLMs, and advanced AI solutions.
• Experience mentoring junior team members and conducting technical training.
• Strong business understanding and client-facing experience.

Education

Bachelor’s / Master’s degree in Business Analytics, Statistics, Economics, Operations Research, Applied Mathematics, Computer Science, Engineering, or a related field.

Advanced degree preferred.

Key Skills

Data Science | Python | SQL | Machine Learning | Predictive Modelling | Statistical Modelling | Artificial Intelligence | XGBoost | Random Forest | Logistic Regression | Decision Trees | Time Series Analysis | AWS | Azure | GCP | GenAI | LLM | PySpark | MLflow | Airflow