14879 Data Science Jobs - Page 27

6-9 years of professional experience in Data Science, Machine Learning, or AI Research . Strong programming skills in Python and experience with libraries such as TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy . Proven experience in GANs, deep learning architectures (CNNs, RNNs, Transformers) , and model optimization. Hands-on experience with AWS Cloud Services (S3, EC2, Lambda, SageMaker, EKS). Strong understanding of statistics, probability, and mathematical modeling . Experience in feature engineering, data wrangling , and data visualization (Matplotlib, Seaborn, or Plotly). Familiarity with MLOps tools , version control (Git) , and CI/CD pipelines . Excellent communication skills with ...

Take accountability for the performance and results of the Bangalore BI&A data science and ML engineering/operations teams. Evaluate and resolve complex business, operational, and technical challenges related to data science and ML engineering/operations. Identify opportunities for for data science and ML engineering/operations leaders (both administrative as well as technical leaders). Conduct performance reviews, manage talent development, and build a pipeline of future leaders. Ensure effective resource allocation and capacity planning to meet operational and strategic goals. Partner across BI&A Bangalore functions to balance headcount requirements across all BI&A strategic priorities. En...

Identify and prospect potential corporate clients for enterprise upskilling and training partnerships. Build and maintain strong relationships with HRs, L&D Heads, and Business Unit Leaders. Understand client needs and propose tailored training solutions from our course portfolio (Data Science, AI/ML, Project Management, Cloud, Digital Marketing, etc.). Drive end-to-end B2B sales cycle lead generation, client meetings, proposal creation, negotiation, and closing. Coordinate with internal teams (delivery, operations, faculty) to ensure smooth execution of corporate training engagements. Maintain a healthy sales pipeline and achieve monthly/quarterly sales targets. Prepare reports and forecast...

1.Curriculum Delivery: Conduct engaging training sessions covering topics such as Python programming, machine learning, deep learning, NLP, LLMs, LangChain, prompt engineering, data analysis, data visualization, SQL, Excel, Power BI, and Tableau. 2. Content Development: Collaborate with the curriculum development team to create and update course materials, including lectures, hands-on projects, and assessments. 3. Student Mentorship: Provide guidance and support to students, helping them navigate complex concepts and complete practical assignments. 4. Performance Evaluation: Assess student progress through evaluations, provide constructive feedback, and identify areas for improvement. 5. Con...

Define and implement AI governance frameworks, building on existing enterprise data governance policies. Establish guidelines and controls for responsible AI development, deployment, and monitoring (e.g., fairness, transparency, accountability). Drive adoption of compliance and privacy standards in AI initiatives (GDPR, CCPA, HIPAA, and industry-specific regulations). Develop policies for data usage, model training, knowledge orchestration, and LLM customization to ensure compliance and ethical use. Implement frameworks for AI audits, monitoring, and explainability to meet regulatory and enterprise needs. Partner with security and compliance teams to integrate privacy and security into AI wo...

Your Responsibilities includes but not limited. Develop and maintain scalable, efficient, and high-performance web applications using Python, Flask/Django on the backend. Design and implement front-end components using React/Node.js/Angular for a seamless user experience. Collaborate with cross-functional teams, including designers and other developers, to bring projects from concept to completion. Participate in code reviews and provide constructive feedback to maintain code quality and best practices. Troubleshoot, debug, and optimize application performance to ensure a smooth user experience. Stay up to date with industry trends and incorporate the latest technologies to enhance our appli...

Job Responsibilities- Develop and operationalize scalable processes to deliver on large & complex client engagements. Ensure profitable delivery and great customer experience- design, deploy, operate, and maintain scalable and efficient automated machine learning systems. Monitor and improve performance while accounting for information security, access, model governance, data & model drift, etc. Job Requirements- Ability to design and implement cloud solutions and ability to build MLOps pipelines on cloud solutions (AWS, MS Azure or GCP) Experience with MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow etc., experience with Docker and Kubernetes, OpenShift. Programming languages lik...

Your Responsibilities includes but not limited. Be an Individual Contributor in the Analytics and Development team and solve real-world problems using cutting-edge capabilities and emerging technologies based on LLM/GenAI/GPT Software development experience in python is needed as backend for UI based applications Be a part of large delivery teams working on advanced projects when expert assistance is required. Deliver advanced Data Science capabilities to businesses in a meaningful manner through successful proof-of-concept solutions, and later smoothly transition the proof-of-concept into production. Create Technical documents, develop, test, and deploy data analytics processes using Python...

Your Responsibilities includes but not limited. Develop and maintain scalable, efficient, and high-performance web applications using Python, Flask/Django on the backend. Design and implement front-end components using React/Node.js/Angular for a seamless user experience. Collaborate with cross-functional teams, including designers and other developers, to bring projects from concept to completion. Participate in code reviews and provide constructive feedback to maintain code quality and best practices. Troubleshoot, debug, and optimize application performance to ensure a smooth user experience. Stay up to date with industry trends and incorporate the latest technologies to enhance our appli...

Position Summary To be a team lead and senior analyst who can work on multiple project streams for a client and applies Analytics for better business decision making especially in the area of Pharma (domain). Job Responsibilities Leadership- Lead guide the team independently or with little support to implement deliver complex project assignments. Project Management- Get accurate briefs from the Client and translate into tasks for team members with priorities and timeline plans. Must maintain high standards of quality and thoroughness. Should be able to monitor accuracy and quality of others' work. Ability to think in advance about potential risks and mitigation plans. Logical Thinking- Able ...

Your Responsibilities includes but not limited. Be an Individual Contributor in the Analytics and Development team and solve real-world problems using cutting-edge capabilities and emerging technologies based on LLM/GenAI/GPT Software development experience in python is needed as backend for UI based applications Be a part of large delivery teams working on advanced projects when expert assistance is required. Deliver advanced Data Science capabilities to businesses in a meaningful manner through successful proof-of-concept solutions, and later smoothly transition the proof-of-concept into production. Create Technical documents, develop, test, and deploy data analytics processes using Python...

Ability to design and implement cloud solutions and ability to build MLOps pipelines on cloud solutions (AWS, MS Azure or GCP) Experience with MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow etc., experience with Docker and Kubernetes, OpenShift. Programming languages like Python, Go, Ruby or Bash, good understanding of Linux, knowledge of frameworks such as scikit-learn, Keras, PyTorch, Tensorflow, etc. Ability to understand tools used by data scientist and experience with software development and test automation. Good understanding of advanced AI/ML algorithms & their applications Applications and Digital Automation Solutions, Low Code /No Code and Automation Platforms, designin...

Position Summary A domain expertise of Employee Engagement, Employee relations, Exit Management, Retention Management, Performance Management, HR Operations, etc preferably with an IT/ITES firm. A self-driven self-motivated personality who should have an ability to coordinate with delivery Heads, peer groups and vendors on need basis. Candidates should have a strong inclination to take on additional responsibilities and ensure delivery with high level of commitment. To ensure the people-perspective is represented in business decisions so implications are understood and the workforce is proactively managed. Performs day-to-day activities to meet departmental/project objectives. Interact with ...

o Minimum of 4-6 years develop, test, and deploy Python based applications on Azure/AWS platforms o Must have basic knowledge on concepts of Generative AI / LLMs / GPT o Deep understanding of architecture and work experience on Web Technologies o Python, SQL hands-on experience o Expertise in any popular python web frameworks e.g. flask, Django etc. o Familiarity with frontend technologies like HTML, JavaScript, REACT

Be an Individual Contributor in the Analytics and Development team and solve real-world problems using cutting-edge capabilities and emerging technologies based on UI Software development experience in REACT, JavaScript/TypeScript, python is needed as frontend and backend for UI based applications Be a part of large delivery teams working on advanced projects when expert assistance is required. Deliver advanced Data Science capabilities to businesses in a meaningful manner through successful proof-of-concept solutions, and later smoothly transition the proof-of-concept into production. Create Technical documents, develop, test, and deploy data analytics processes using REACT, Python, SQL on ...

o Minimum of 4-6 years develop, test, and deploy Python based applications on Azure/AWS platforms o Must have basic knowledge on concepts of Generative AI / LLMs / GPT o Deep understanding of architecture and work experience on Web Technologies o Python, SQL hands-on experience o Expertise in any popular python web frameworks e.g. flask, Django etc. o Familiarity with frontend technologies like HTML, JavaScript, REACT

Position Summary To be a team lead and senior analyst who can work on multiple project streams for a client and applies Analytics for better business decision making especially in the area of Pharma (domain). Job Responsibilities Leadership- Lead guide the team independently or with little support to implement deliver complex project assignments. Project Management- Get accurate briefs from the Client and translate into tasks for team members with priorities and timeline plans. Must maintain high standards of quality and thoroughness. Should be able to monitor accuracy and quality of others' work. Ability to think in advance about potential risks and mitigation plans. Logical Thinking- Able ...

Develop and optimize machine learning models for forecasting, optimization, and anomaly detection Apply advanced AI/ML techniques (regression, ensemble models, neural networks, time series, optimization, etc) Work on real-world supply chain challenges and deliver impactful AI-driven solutions Collaborate with global teams including clients, project managers, and solution architects What you ll need: 3+ years of experience in time series forecasting using algorithms like ARIMA, Prophet, or Exponential Smoothing Strong expertise in Python/R, data science frameworks, and ML model development Bachelor s degree in Computer Science, Mathematics, Statistics, or related field Exposure to supply chai...

Design and scale ML solutions using advanced techniques in NLP, computer vision, and deep learning to solve complex retail problems at Walmart scale. Collaborate cross-functionally with engineering, product, and science teams to build impactful, production-ready models and integrate them into business processes. Drive innovation through rapid experimentation, PoC development, and continuous improvement using the latest research and technologies. Measure and optimize performance by defining model metrics, tracking business impact, and applying statistical methodologies for large-scale data analysis. Contribute to the AI community by publishing research, presenting at top-tier conferences, and...

Design and scale ML solutions using advanced techniques in NLP, computer vision, and deep learning to solve complex retail problems at Walmart scale. Collaborate cross-functionally with engineering, product, and science teams to build impactful, production-ready models and integrate them into business processes. Drive innovation through rapid experimentation, PoC development, and continuous improvement using the latest research and technologies. Measure and optimize performance by defining model metrics, tracking business impact, and applying statistical methodologies for large-scale data analysis. Contribute to the AI community by publishing research, presenting at top-tier conferences, and...

Design , develop and deploy AI-enabled tools to build solutions in Fintech domain Collaborate with cross-functional partners (Finance, Tech, Product) to align on priorities and execute initiatives Play a key role to solve complex problems, pivotal to Walmarts business and drive actionable insights Closely collaborate with team to drive data science adoption in the domain Drive efficiency across the domain in terms of DS and ML best practices, ML Ops practices, resource utilization, reusability and multi-tenancy Articulate and present recommendations to business partners and influence plans based on insights Work with the customer-centric mindset to deliver high-quality business driven AI sol...

Design, develop and deploy AI-enabled tools to build solutions in Fintech domain Collaborate with cross-functional partners (Finance, Tech, Product) to align on priorities and execute initiatives Play a key role to solve complex problems, pivotal to Walmarts business and drive actionable insights Closely collaborate with team to drive data science adoption in the domain Drive efficiency across the domain in terms of DS and ML best practices, ML Ops practices, resource utilization, reusability and multi-tenancy Articulate and present recommendations to business partners and influence plans based on insights Work with the customer-centric mindset to deliver high-quality business driven AI solu...

Develop and communicate the product vision and strategy for your area of responsibility Deeply understand the needs of data scientists, machine learning engineers and model risk officers across Capital One Partner with business and technology leadership to align on prioritization of key problems to be solved to maximize business and customer outcomes Collaborate with teams in India and USA to drive alignment with different teams working on the platform Incorporate design thinking and analytics to inform product design Responsible for a team of directly reporting product managers Maintain a healthy backlog of work and play a critical role in many agile ceremonies. Support the team with escala...

Masters degree or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or related field Professional certifications in relevant technologies or methodologies are a plus Experience: 10+ years of experience in data science, with at least 4 years in the banking/financial services sector Proven track record of successfully implemented machine learning models in production Minimum 3 years of experience managing and leading data science teams Demonstrated experience in building and developing high-performing teams Technical Skills: Advanced knowledge of machine learning algorithms and statistical modeling Strong expertise in Python, R, or similar programming languages Proficiency in S...

We are seeking a seasonedTechnical Leadwith a strong data science background to lead a team of Data Scientists supporting a strategic client in the banking and financial services domain. This role combines hands-on technical leadership with solution architecture responsibilities, and is ideal for someone who can guide the team in applying advanced AI technologies includingagentic AI,RAG to solve complex business problems. Key Responsibilities Technical Leadership & Architecture Lead the design and delivery of AI/ML solutions usingRAG, and other transformer-based models. Work with the Architect to build scalable, secure, and compliant data science workflows usingLangFuse , Databricks , Dataik...