Data Scientist – AI/ML Solutions

June 18, 2026
Application ends: September 17, 2026
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Job Description

Overview :
We are hire a talented Data Scientist with 5 to 8 years of experience to join our team and develop high-impact, scalable predictive analytics solutions. You will leverage advanced Gen AI, AI/ML to build solutions, build data pipelines, and be part of the productization team responsible for delivering robust solutions for our clients.

Responsibilities :

– Collaborate with business stakeholders, product managers, and engineering teams to translate business requirements into analytical solutions.

– Extract and integrate data from multiple sources through APIs, databases, and file-based interfaces.

– Analyze structured and unstructured data to identify trends, patterns, and actionable business insights.

– Perform data preprocessing, feature engineering, model development, deployment and model evaluation

– Evaluate, fine-tune, and optimize AI/ML models to improve accuracy, performance, scalability, and reliability.

– Develop APIs and services for model deployment and integration with enterprise systems.

– Ensure data quality, governance, security, and compliance throughout the analytics lifecycle.

– Stay current with emerging AI, GenAI, machine learning, and data science technologies and recommend their adoption where appropriate.

Experience & Qualifications :

– Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.

– 5 to 8 years of hands-on experience in Data Science, Machine Learning, Predictive Analytics

– Strong proficiency in Python, including experience with data manipulation, statistical analysis, machine learning, and model development using libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch and related frameworks.

– Solid understanding of statistics, probability theory, hypothesis testing, regression analysis, sampling techniques, and experimental design to support data-driven decision making.

– Apply statistical and machine learning techniques to analyze large datasets, identify patterns, build predictive models, and generate actionable business insights.

– Experience with Generative AI technologies, Large Language Models (LLMs)

– Experience working with SQL and NoSQL databases, data warehouses, and big data technologies.

– Familiarity with cloud platforms such as AWS, and containerization technologies such as Docker and Kubernetes.

– Experience in building REST APIs and integrating AI models into production environments.

– Strong understanding of statistics, machine learning algorithms, forecasting techniques, and optimization methods.

– Excellent analytical, problem-solving, and communication skills with the ability to work in cross-functional teams.

Preferred Qualifications :

– Experience using graph technologies such as Neo4j and graph data modeling for fraud detection, relationship analysis, or customer intelligence.

– Familiarity with data governance, and data quality frameworks.

– Exposure to statistical methods and techniques for entity matching and identity resolution.

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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