Senior Data Scientist

Anblicks; Hyderabad; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

Anblicks in Hyderabad is seeking a Senior Data Scientist to design, develop, and deploy ML models addressing complex business problems. You will work with Data Engineering, AI, and business teams to translate requirements into scalable data science solutions.

You will perform data exploration, feature engineering, model training, validation, and tuning, and you will productionize pipelines while monitoring model performance and applying MLOps practices.

Qualifications

• 6-10 years of experience in Data Science or Advanced Analytics.
• Strong hands-on Python and ML modeling experience.
• Experience deploying ML models in production environments.
• Experience with ETL/ELT and large datasets.
• Knowledge of cloud/data platforms such as AWS, Snowflake, Databricks.
• Experience with Spark/PySpark preferred.

Responsibilities

• Design, develop, and deploy ML and statistical models for business problems.
• Perform data exploration, feature engineering, model training, validation, and tuning.
• Apply techniques like Regression, GLM, Trees, Boosting, SVM, clustering.
• Collaborate with business, product, engineering, and data teams to translate requirements.
• Productionize ML models and build scalable data pipelines with Data Engineering.
• Monitor model performance and drive ML lifecycle improvements (MLOps).
• Communicate findings clearly to technical and business stakeholders.

Skills

Python

ML algorithms

ETL/ELT

AWS

Snowflake

Databricks

Spark/PySpark

Model deployment

MLOps

Education

CS/Statistics/Math/Engineering/Data Science degree

Tools

MLflow

Kubeflow

Airflow

Docker

Kubernetes

CI/CD

Job description

Anblicks is a Data & AI company helping global enterprises modernize their data landscape through Cloud, Data Engineering, AI, and Analytics solutions.

We are looking for a Senior Data Scientist to join our Data Science & AI practice. The role involves developing and deploying machine learning solutions, solving complex business problems, and working closely with Data Engineering, AI, and business teams.

Key Responsibilities

• Design, develop, and deploy Machine Learning and Statistical models for complex business problems.
• Perform data exploration, feature engineering, model training, validation, and hyperparameter tuning.
• Apply techniques such as Regression, GLM, Decision Trees, Random Forest, Boosting, Bagging, SVM, Clustering, and other ML algorithms.
• Analyze large datasets to identify patterns, trends, and actionable insights.
• Collaborate with business, product, engineering, and data teams to translate requirements into data science solutions.
• Work with Data Engineering teams to productionize ML models and build scalable data pipelines.
• Monitor and optimize model performance, accuracy, and reliability.
• Contribute to ML lifecycle, MLOps, automation, and continuous improvement initiatives.
• Communicate complex analytical concepts and findings effectively to technical and business stakeholders.

Required Skills

• 6-10 years of experience in Data Science, Machine Learning, or Advanced Analytics.
• Strong hands-on experience with Python and machine learning/statistical modeling.
• Strong knowledge of ML algorithms, feature engineering, model evaluation, and optimization.
• Experience deploying and maintaining ML models in production.
• Experience working with ETL/ELT, data transformation, and large datasets.
• Experience with AWS, Snowflake, Databricks, or other cloud/data platforms.
• Experience with Spark/PySpark is preferred.
• Strong analytical, problem-solving, and communication skills.
• Bachelor’s/Master’s degree in Computer Science, Statistics, Mathematics, Engineering, Data Science, or related field.

Good to Have

• Experience with Deep Learning, NLP, Generative AI, or LLMs.
• Knowledge of MLflow, Kubeflow, Airflow, Docker, Kubernetes, or MLOps.
• Experience with H2O or similar ML platforms.
• Knowledge of cloud-based AI/ML platforms and CI/CD.

Why Join Anblicks?

• Work on AI/ML and advanced analytics solutions for global enterprises.
• Exposure to modern Cloud, Data, and AI technologies.
• Collaborate with experienced Data Engineering and AI professionals.
• Opportunity to build scalable, production-grade ML solutions with real business impact.