Data Scientist

Sagility India; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Sagility India is seeking an experienced Data Scientist to build data-driven solutions and derive insights through advanced analytics, ML, and AI. You will work with stakeholders to translate requirements into technical solutions, deploy ML models, and create dashboards in a hybrid work setup in Bangalore.

The ideal candidate has 3+ years in Data Science/ML/AI, strong Python and SQL skills, and hands-on ML experience.

Qualifications

• 3+ years of experience in Data Science / ML / AI.
• Strong Python programming skills for data analysis.
• Strong SQL hands-on and data preprocessing knowledge.
• Experience with ML algorithms and statistical modeling.

Responsibilities

• Analyze large datasets to identify trends and opportunities.
• Build, train, and deploy ML models for analytics.
• Develop data pipelines and analytical solutions using Python/SQL.
• Work on AI/ML use cases to drive business decisions.
• Collaborate with business teams to capture requirements.
• Perform data cleaning, feature engineering, and model evaluation.
• Create dashboards and presentations to communicate insights.
• Ensure data quality and consistency across sources.
• Coordinate with engineering, product, and business for end-to-end delivery.
• Stay updated on Data Science, AI, and ML advancements.

Skills

3+ years of experience in Data Science

Python

SQL

Machine Learning

AI

Strong problem-solving

Tools

Databricks

Cloud platforms

Big data technologies

Job description

We are looking for an experienced Data Scientist with 3+ years of experience in building data-driven solutions and deriving business insights through advanced analytics, machine learning, and AI techniques. The ideal candidate should have strong hands-on experience in Python, SQL, Machine Learning, and AI, along with the ability to work closely with business stakeholders to understand requirements and deliver impactful solutions.

Key Responsibilities:

• Analyze large and complex datasets to identify trends, patterns, and business opportunities
• Build, train, and deploy Machine Learning models for predictive and prescriptive analytics
• Develop and maintain data pipelines, models, and analytical solutions using Python and SQL
• Work on AI/ML use cases to solve business problems and improve decision-making
• Collaborate with business teams to gather requirements, understand pain points, and translate them into data solutions
• Perform data cleaning, preprocessing, feature engineering, and model evaluation
• Create dashboards, reports, and presentations to communicate insights to stakeholders
• Ensure data quality, accuracy, and consistency across different sources
• Work with cross-functional teams including engineering, product, and business teams for end-to-end solution delivery
• Stay updated with the latest advancements in Data Science, AI, and Machine Learning

Required Skills:

• 3+ years of experience in Data Science / Machine Learning / AI
• Strong programming experience in Python
• Strong hands-on experience in SQL
• Knowledge of machine learning algorithms (regression, clustering, forecasting, classification, neural network etc.), statistical modeling, and data mining techniques.
• Strong proficiency in Python for data analysis.
• Strong problem-solving and critical-thinking skills.
• Ability to understand business requirements and convert them into technical solutions

Good to Have:

• Experience working with Databricks
• Knowledge of cloud platforms and big data technologies
• Experience with data visualization/reporting tools

Preferred Candidate Profile:

• Strong business understanding with the ability to bridge the gap between technical and functional teams
• Self-driven and capable of working in a fast-paced environment
• Good communication and stakeholder management skills

Location: Bangalore
Work Mode: Hybrid (23 Days Work From Office)
Shift Timing: 2 PM-11 PM
Experience: 3+ Years
Notice Period: Immediate to 15 Days
Interview Process: 3 Technical Rounds (Final round is F2F interview at Bangalore Office)

Regards,

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