19890 Data Science Jobs - Page 12

NUCOT is hiring a skilled and passionate Machine Learning Engineer to join our growing professional team. The ideal candidate will work on building, deploying, and optimizing machine learning models that solve real-world business problems. This role offers an opportunity to work on cutting-edge AI/ML projects while collaborating with experienced professionals in a fast-paced, innovation-driven environment. Key Responsibilities Design, develop, and deploy machine learning models and algorithms Work with structured and unstructured data for model training Implement ML pipelines using Python and relevant libraries Collaborate with data scientists, software engineers, and product teams Optimize ...

Data Scientist Financial Modelling & AWSHands-on Data Scientist experienced in leveraging the AWS toolset to develop financial models Strong coding skills in Python, PySpark, and SQL enabling efficient data processing, feature engineering, and model development Proven ability to collaborate across teams to translate complex financial data into actionable business insights and scalable, production-ready solutions Short Description of the JobDesign and implement data science tools and methods which harness our data in order to drive market leading purposeful customer solutions Key Responsibilities Understand the needs of business stakeholders, form hypotheses and identify suitable data and ana...

Bachelor degree in Business Administration, Computer Science, Information Systems, Data Science, or related field. 5-10 years of experience as a Business Analyst, including exposure to AI, data analytics, or digital transformation projects. Strong understanding of software development life cycle (Agile and Waterfall methodologies). Experience with data modeling, BI tools, or working closely with data science teams. Strong analytical, problem-solving, and data interpretation skills. Proficiency with tools such as JIRA, Confluence, MS Visio, Lucidchart, Power BI, or similar platforms. Excellent communication and stakeholder management skills.

Role Overview We are hiring high-potential Junior AI Engineers who can learn fast, execute independently, and take ownership early. You will work on production AI systems for exam evaluation, grading automation, and feedback generation, and contribute directly to our AI roadmap. If you are excited about shipping AI into production, working with modern NLP and LLMs, and being accountable for outcomesnot just experimentsthis role is for you. What You Will Do Build & Ship AI Features Implement and improve AI models for exam evaluation and grading. Work on NLP problems such as answer similarity, rubric alignment, and feedback generation. Apply and fine-tune pre-trained models and LLMs for real-w...

Broad expertise in Financial (Credit, Market, Liquidity) risk, Operational risk and enterprise risk management ?Proven risk & regulatory experience in financial services gained through management consulting, banking or other relevant industry practitioner or regulatory roles End-to-end project implementation and cross-functional stakeholder management experience including agile project delivery?Seasoned business analyst with experience in requirements analysis, requirements management and documentation, exposure to tools like JIRA, Confluence etc, hands on with SQL queries?Bachelor??s degree from a reputable Institute Master??s degree preferably in a quantitative field (Business, Data Scienc...

Role & responsibilities Design, develop, and deploy AI and Machine Learning models for real-world, large-scale product applications Build and optimize AI chatbots and AI Agents for conversational, automation, and decision-making use cases Lead end-to-end AIML solution development, including data collection, feature engineering, model training, evaluation, and deployment Collaborate with UX Engineers to integrate AI features into intuitive and seamless user experiences Develop scalable AI services and APIs using Python and modern ML frameworks Work with structured and unstructured data using SQL and data pipelines Optimize and maintain ML models for performance, accuracy, and reliability in p...

Job Purpose and Impact The Data & Analytics Reporting Supervisor is responsible for leading the design, development, and optimization of enterprise dashboards that deliver actionable insights across the organization. This role oversees the end-to-end dashboard lifecycle??from requirements gathering and data integration to visualization and user adoption. The Supervisor ensures dashboards are aligned with business goals, technically sound, and user-friendly. In addition to hands-on development, this role includes managerial responsibilities such as guiding a team of BI developers and analysts, setting performance goals, and fostering a culture of innovation and data-driven decision-making. Ke...

Project description You''ll be working in the Technology Services GCTO EA Team. Technology Services is a group-wide function which provides integrated and secure infrastructure services for company by offering best fit, easy to leverage, reliable, and cost-effective technology services and strategic products which provide functionality, strategic insights, and expertise across all business groups globally.As a Software engineer focused on Microsoft 365 & Azure Collaboration Solutions, you will join an existing team in the EA Team in Group CTO supporting our strategic initiatives across the bank. Responsibilities Help Group Enterprise Architecture team to develop our Azure-based applications ...

Project description Our client, one of the leading Agriculture Companies, is modernising their landscape and adopting AI and innovations in their process. We are seeking a highly skilled and innovative Python/AI Engineer to join our team. The ideal candidate will be responsible for developing cutting-edge AI solutions, creating Proof of Concepts (PoCs), and integrating Large Language Models (LLMs) into our application landscape. This role involves close collaboration with business stakeholders and R&D teams to drive AI adoption and deliver impactful results. Responsibilities Design and develop PoCs and present them to business stakeholders. Build and deploy innovative AI solutions using stat...

The Data Engineer will be responsible for designing, building, and maintaining scalable data pipelines and data platforms to support analytics, reporting, forecasting, and advanced data science use cases. The role requires strong technical expertise in modern data engineering tools, cloud platforms, and data processing frameworks. The engineer will work closely with data scientists, analysts, and business teams to ensure reliable, high-quality data availability

Python - Modules like pydb and unittest/pytest; ML OPS, AML; Azure Databricks, Azure SQL GIT; Demand Forecasting Algorithms (includes all the forecasting algorithms, linear, log, arima, sarima, prophet etc.,)

"Python - Modules like pydb and unittest/pytest; ML OPS, AML; Azure Databricks, Azure SQL GIT; Demand Forecasting Algorithms (includes all the forecasting algorithms, linear, log, arima, sarima, prophet etc.,)"

Key Responsibilities: Assist in building and maintaining data pipelines and ETL processes. Support data ingestion, transformation, and loading into data warehouses. Work with senior engineers to ensure data quality and integrity. Perform basic data analysis and troubleshooting. Document processes and contribute to improving workflows. Required Skills: Programming: Basic proficiency in Python for scripting and data manipulation. Database: Good understanding of SQL for querying and simple optimization. Cloud Platforms: Familiarity with AWS or Azure services (e.g., S3, Data Factory). Big Data Tools: Exposure to Databricks or willingness to learn. Strong understanding of data structures and basi...

Key Responsibilities : Own project scope, timelines, and resource planning across multiple engagements, ensuring high-quality deliverables that exceed client expectations. Serve as the primary point of contact for client teams, building trusted advisor relationships with principals, partners, and senior stakeholders. Lead commercial, financial, and operational due diligence and valuation engagements for private equity clients, supporting buy-side, sell-side, IPO, and post-transaction value realization efforts. Collaborate with senior leadership to identify investment risks, growth opportunities, and value creation levers to maximize client impact. Lead, mentor, and develop junior analysts an...

Responsibilities Design and Develop Scalable Data Pipelines: Build and maintain robust data pipelines using Python to process, transform, and integrate large-scale data from diverse sources Orchestration and Automation: Implement and manage workflows using orchestration tools such as Apache Airflow to ensure reliable and efficient data operations Data Warehouse Management: Work extensively with Snowflake to design and optimize data models, schemas, and queries for analytics and reporting Queueing Systems: Leverage message queues like Kafka, SQS, or similar tools to enable real-time or batch data processing in distributed environments Collaboration: Partner with Data Science, Product, and Eng...

Role Overview We are looking for AI Evaluation Data Engineering Specialists to design, curate, and operationalize datasets and evaluation frameworks for AI product performance assessment. This role involves working with large language models (LLMs), human raters, and automation tools to measure model accuracy, correctness, and usability. Key Responsibilities Build and maintain evaluation datasets for AI models across programming languages (Python, Golang, JavaScript, Java). Develop and apply data labeling and scoring guidelines based on Googles evaluation framework. Implement LLM-judge calibration workflows to align automated and human evaluations. Perform error analysis, drift detection, an...

This role is an exciting opportunity to apply AI/data technology to translate manufacturing data into meaningful insights to help solve factory yield/process engineering problems. In this position, you are expected to deliver data analytics tools/algorithms/methodologies for engineers in different areas in Manufacturing. The successful candidate will work closely with yield/process/Quality engineers to understand their business needs, analysis methodologies and come up with solutions to assist data-driven decisions in their daily work. Help users to do quick and efficient signal detection for yield or process issues, improve yield and quality and reduce cost to meet Quality/Output/Cost goals...

The Pharmacovigilance Operations Manager supports the global safety system and associated data mart to ensure accurate, compliant, and timely safety data analytics and reporting, while advancing the use of automation, artificial intelligence (AI), and innovative technologies where appropriate. This role supports system changes and configurations, maintains data integrity, enables regulatory and business reporting, and delivers training for technical and business users. Operating with limited direction from the Senior Manager, this position plays a critical role in inspection readiness, regulatory compliance, and the responsible adoption of innovative solutions within the pharmacovigilance en...

Role & responsibilities Job Summary We are seeking a talented Gen AI & Data Science Engineer to join our dynamic team in Bangalore. The ideal candidate will have 5 to 8 years of hands-on experience in developing AI and data science models, with expertise in Generative AI, machine learning, and data engineering. You will be responsible for designing and implementing AI solutions to address complex business challenges and drive data-driven decision-making. Mandatory Skills Proficiency in Generative AI frameworks (like GPT, BERT, DALL-E). Strong programming skills in Python and Pyspark. Experience with ML libraries (TensorFlow, PyTorch, Scikit-learn). Proficiency in data analysis and visualizat...

Bachelor degree in Business Administration, Computer Science, Information Systems, Data Science, or related field 6 to 10 years of experience as a Business Analyst, including exposure to AI, data analytics, or digital transformation projects Strong understanding of software development life cycle (Agile and Waterfall methodologies) Experience with data modeling, BI tools, or working closely with data science teams Strong analytical, problem-solving, and data interpretation skills Proficiency with tools such as JIRA, Confluence, MS Visio, Lucidchart, Power BI, or similar platforms Excellent communication and stakeholder management skills

Job Summary This job develops and executes strategic recruiting plans to attract top talent. They partner with hiring managers to understand specific hiring needs and create job descriptions. Senior Recruiters source and screen candidates, conduct interviews, and assist in the selection and offer process. They also manage relationships with candidates and hiring managers, develop recruiting metrics, and may supervise junior recruiters. With extensive experience in recruiting, they utilize advanced sourcing tools and techniques to ensure the company hires the best talent Job Description Essential Responsibilities Partner with hiring managers and business unit leader to understand hiring requi...

This job will design and implement advanced data science and agentic AI models to support business needs in the risk and compliance domain. You will work with stakeholders to understand requirements and deliver solutions. Your role involves driving best practices in data science/agentic AI ensuring data quality, and mentoring junior data scientists. Job Description Essential Responsibilities Lead and manage data science projects, ensuring timely delivery and alignment with business goals. Develop and maintain data models, algorithms, and reporting systems to support data analysis and decision-making. Analyze complex datasets to identify trends, patterns, and insights that drive strategic ini...

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Job Reference: #LI-JC1 Role Summary: The Machine Learning R&D Engineer role is responsible for the design, development and implementation of machine learning solutions to serve our organization. This includes ownership or oversight of projects from conception to deployment with appropriate cloud services. The role also includes responsibility for following best practices with ...

The Analyst will support private capital and private equity engagements by conducting rigorous data analysis, market research, and financial modeling. The role involves working closely with senior team members on due diligence, valuation, and value creation projects. The Analyst will apply structured analytical thinking, leverage advanced analytics tools, and contribute to high-quality reports and presentations that support clients investment decisions across the deal lifecycle Key Responsibilities Deploy structured analytics, statistical techniques, and research methodologies to support complex business and investment-related problem solving. Support due diligence and valuation engagements ...

Senior Data Scientist (6-8 years experience) with strong hands-on expertise in Python programming , Machine Learning , and introductory data engineering . The ideal candidate will design, develop, and deploy scalable AI/ML solutions leveraging the Palantir platform (training on Palantir will be provided), while ensuring robust data pipelines and infrastructure to support advanced analytics and predictive modeling. Key Skills & Responsibilities 1.Designing, build, and optimize machine learning models for classification, regression & NLP 2.Experience in model training, validation, and deployment pipelines using frameworks like TensorFlow, PyTorch, or Scikit-learn. 3.Excellent proficiency in Py...