117 Job openings found

Primary Responsibilities: Data Analysis & Reporting • Collect, clean, validate, and analyze data from multiple sources including government systems, APIs, and open datasets. • Perform exploratory data analysis (EDA) to uncover trends, patterns, and anomalies. • Support performance monitoring of digital service delivery (e.g., user adoption, grievance redressal, efficiency metrics). Visualization & Dashboarding • Design and develop dynamic, ...

About the Role We are looking for a Certified Data Scientist with strong analytical, statistical, and machine learning expertise to join our Automation Engineering team. The ideal candidate will be responsible for analyzing complex datasets, developing predictive models, deploying AI solutions, and supporting customers in understanding process control requirements. This role requires ...

We are looking for an ambitious, proactive, and motivated individual with solid exploratory research, digital analytics experience, able to lead day-to-day management of accounts. The Senior Account Manager candidate should be capable of driving analytics design, ideate innovative approaches to derive meaning from unstructured / structured digital data, omnichannel campaign ...

Requirements: Overall 6+ years of work experience in relevant hands on experience handling data driven decisions Experience in various statistical and machine learning models, data mining, unstructured data analytics in corporate or academic research environments Must have strong of programming experience in R/Python Experience in machine learning techniques and algorithms, such as like-Classification, ...

Job Description: We are seeking an experienced Azure Data Engineer to join our team. The ideal candidate will have a strong background in designing, developing, and managing ETL processes and data pipelines on the Microsoft Azure platform. Proficiency in Azure Data Factory (ADF), PySpark, and CI/CD pipelines is essential. The role ...

Role Overview We are seeking a high-calibre AI Engineer – Lead to spearhead end-to-end design, deployment, and lifecycle management of AI/ML solutions. The role is critical to driving automation, predictive analytics, and data-driven intelligence across business use cases, ensuring scalable and compliant AI deployments. Key Responsibilities Design, develop, and deploy AI/ML models aligned to defined business use ...

We are hiring for the profile- Data Scientist  Skills Required Skills:Data Science, Machine Learning, Deep Learning, Python, NLP Desired Skills: Computer Vision Roles and responsibilities Experience in Data Modelling, R, Python, SQL, Data Science, Machine Learning, Deep Learning,NLP, Statistics Have ability to solve Business problems using Data Should possess extensive knowledge of and experience in applying data ...

Experience 2 years to 5 years of experience as Analytics / Business Intelligence / Data Science mandatory Experience in Recommendation Engine for optimizing time spent on the platform. Experience with Big Data querying tools, such as Hive, Pig, and Impala Experience in Spark ML ( Spark Machine Learning) Age 25 - 36 yrs Others Looking for the candidates notice ...

Required SkillsThe ideal candidate willHave the ability to handle structured /unstructured data like Text, Image and have prior experience in loading, validating and cleaning various types of data.Have very good understanding of data structures and algorithms. Have excellent coding skills in one or more of the following languages: Python, Java, ...

Data Scientist – Banking and Risk ManagementRole Summary:The Data Scientists will design AI/ML models for banking and risk management, driving innovation andenhancing operational efficiencies for financial institutions.Key Responsibilities: Develop AI/ML models for credit scoring, fraud detection, and risk assessment in banking. Analyze large datasets from banking systems to identify risk ...