3811 Data Science Jobs - Page 23

Need Immediate joiners/Serving NP 7-10 years of total DS and model development experience A passion for writing high-quality code (Python), and the code should be modular, scalable, and end-end project execution while planning an active hands-on role Experience in Time Series Forecasting Having good problem-solving skills is essential, and it is equally important to have in-depth knowledge to solve complex problems effectively. Comprehensive knowledge of the regression and classification concepts and mathematical backend along with SQL Idea about other machine learning techniques (clustering, regression, ensemble learning, neural nets, time series, optimizations etc.) to their real-world problems Encourage collaboration with various stakeholders and take complete ownership of deliverables. Adept understanding of various data science approaches, machine learning algorithms, and statistical methods. Excellent communication skills with presentability, articulation, storytelling capability, and ability to manage complex client situations Effective mentoring of a team with expertise in industry/domain/functional areas.

Job Title - S&C Global Network - AI - Hi Tech - Data Science Senior Analyst Management Level: 10-Senior Analyst Location: Bengaluru Must-have skills: Prompt Engineering Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. WHATS IN IT FOR YOU We are seeking a skilled and experienced Senior Data Scientist to join our Hi-Tech practice. The ideal candidate should have hands-on experience in data science within industries such as semiconductors, enterprise technology, consumer technology, medical technology. As a Senior Data Scientist, you will be responsible for developing AI models/applying GenAI techniques in areas such as marketing & consumer analytics, predictive asset maintenance, production optimization, supply chain, sales & channel partner program analytics, and connected products. You will be leading design and delivery on client projects. What you would do in this role Develop and implement AI models and GenAI applications to address business challenges in semiconductors, enterprise technology, consumer technology, medical technology and related industries. Collaborate with cross-functional teams to gather requirements, design solutions, and deploy models into production environments. Create industry-leading points-of-view in the client domains you are working on that ensures our positioning as a value-partner Design and implement GenAI based solutions through contextual prompt engineering and prompt tuning and supporting solution architects on the design of GenAI-powered solutions/assets. Utilize your expertise in PLM/ERP/CRM/Contact Center systems to integrate data sources and ensure seamless operation of AI solutions. Design and develop machine learning models using Python, with proficiency in NLP and Computer Vision techniques. Architect functional solutions and provide technical guidance to enhance the performance and scalability of AI systems. Leverage cloud platforms, with preference for Azure/GCP, and experience with AWS is also valued. Stay updated on emerging technologies and industry trends, contributing to continuous improvement initiatives within the organization. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Prior experience in leading teams that develop data science/GenAI solutions will be preferred. Proven track record of developing AI models in areas such as channel analytics, marketing & customer experience, supply chain analytics, predictive maintenance, production optimization, and connected products. Strong proficiency in Python programming, with experience in NLP and Computer Vision. Exposure to PLM/ERP/CRM systems and understanding of their integration with AI solutions. Experience with cloud platforms, preferably Azure/GCP, and familiarity with AWS. Knowledge of LLM exposure and experience with tools such as ChatGPT, Llama 2, Claude 2, Hugging Face, etc. for prompt engineering, prompt tuning, etc will be an advantage. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accentur Qualification Experience: 5 to 8 Years Educational Qualification: Minimum 15 Years of Education

Project Role : Data Modeler Project Role Description : Work with key business representatives, data owners, end users, application designers and data architects to model current and new data. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Modeler, you will engage with key business representatives, data owners, end users, application designers, and data architects to model both current and new data. Your typical day will involve collaborating with various stakeholders to understand their data needs, analyzing existing data structures, and designing effective data models that support business objectives. You will also participate in discussions to ensure that the data models align with the overall data strategy and architecture, facilitating seamless data integration and accessibility across the organization. This role requires a proactive approach to problem-solving and a commitment to delivering high-quality data solutions that meet the evolving needs of the business. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate workshops and meetings to gather requirements and feedback from stakeholders.- Mentor junior team members to enhance their skills and knowledge in data modeling. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of data modeling techniques and best practices.- Experience with data integration and ETL processes.- Familiarity with data governance and data quality frameworks.- Ability to work with various database technologies and data storage solutions. Additional Information:- The candidate should have minimum 12 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Ahmedabad office.- A 15 years full time education is required. Qualification 15 years full time education

Job Title - S&C Global Network - AI - Hi Tech - Data Science Senior Analyst Management Level:10-Senior Analyst Location:Bengaluru Must-have skills: Prompt Engineering Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. WHATS IN IT FOR YOU We are seeking a skilled and experienced Senior Data Scientist to join our Hi-Tech practice. The ideal candidate should have hands-on experience in data science within industries such as semiconductors, enterprise technology, consumer technology, medical technology. As a Senior Data Scientist, you will be responsible for developing AI models/applying GenAI techniques in areas such as marketing & consumer analytics, predictive asset maintenance, production optimization, supply chain, sales & channel partner program analytics, and connected products. You will be leading design and delivery on client projects. What you would do in this role Develop and implement AI models and GenAI applications to address business challenges in semiconductors, enterprise technology, consumer technology, medical technology and related industries. Collaborate with cross-functional teams to gather requirements, design solutions, and deploy models into production environments. Create industry-leading points-of-view in the client domains you are working on that ensures our positioning as a value-partner Design and implement GenAI based solutions through contextual prompt engineering and prompt tuning and supporting solution architects on the design of GenAI-powered solutions/assets. Utilize your expertise in PLM/ERP/CRM/Contact Center systems to integrate data sources and ensure seamless operation of AI solutions. Design and develop machine learning models using Python, with proficiency in NLP and Computer Vision techniques. Architect functional solutions and provide technical guidance to enhance the performance and scalability of AI systems. Leverage cloud platforms, with preference for Azure/GCP, and experience with AWS is also valued. Stay updated on emerging technologies and industry trends, contributing to continuous improvement initiatives within the organization. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Proven track record of developing AI models in areas such as channel analytics, marketing & customer experience, supply chain analytics, predictive maintenance, production optimization, and connected products. Strong proficiency in Python programming, with experience in NLP and Computer Vision. Exposure to PLM/ERP/CRM systems and understanding of their integration with AI solutions. Experience with cloud platforms, preferably Azure/GCP, and familiarity with AWS. Knowledge of LLM exposure and experience with tools such as ChatGPT, Llama 2, Claude 2, Hugging Face, etc. for prompt engineering, prompt tuning, etc will be an advantage. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience:Minimum 4 Years Educational Qualification:Minimum 15 Years of Education

Project Role : Software Development Lead Project Role Description : Develop and configure software systems either end-to-end or for a specific stage of product lifecycle. Apply knowledge of technologies, applications, methodologies, processes and tools to support a client, project or entity. Must have skills : Microsoft Azure Data Services Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time educationJob Overview:**Position Summary :**The Data Scientist will leverage statistical techniques and machine learning to extract insights, predict trends, and solve **Key Responsibilities:**- Develop predictive models and machine learning algorithms to support decision-making.- Analyze large datasets to uncover trends and insights.- Collaborate with stakeholders to understand business challenges and provide data-driven solutions.- Communicate complex analyses in a clear and actionable manner.- Develop and implement machine learning models to solve business problems.- Analyze large datasets to identify patterns and generate insights.- Collaborate with engineering teams to integrate models into production systems.- Conduct A/B testing to evaluate the impact of data-driven strategies.- Stay updated on the latest advancements in data science and AI.** Qualifications:**- Master's degree in Data Science, Computer Science, or a related field.- 3-5 years of experience as a Data Scientist.- Expertise in Python, R, SQL, and machine learning frameworks.- Strong statistical and analytical skills.- Excellent communication and problem-solving abilities. Additional Information:- The candidate should have minimum 7.5 years of experience in Microsoft Azure Data Services.- This position is based in Hyderabad.- A 15 years full time education is required. Qualification 15 years full time education

Greetings from Access Healthcare Services, We have an excellent opportunity for an Data Scientist. Shifts : General Job Location : Ambattur Estate, Chennai Eligibility Criteria : Bachelors / masters degree in computer science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field 5 to 10 years of experience, with a proven track record of solving complex business problems using data. Certifications in Data Science, Machine Learning, or AI platforms ( preferred) Competency Requirement (Technical & Behavioral): Proficiency in Python or R for data analysis and model building. Strong knowledge of SQL for data extraction and manipulation. Experience with machine learning algorithms (regression, classification, clustering, etc.) Familiarity with data visualization tools like Tableau, Power BI Strong analytical and problem-solving skills Excellent communication and storytelling abilities to present complex data in a clear and concise manner Ability to work both independently and collaboratively in cross-functional teams Capacity to handle change, stay open to different ideas, support positive changes. Very high in Integrity and should be attentive to detail. Should be self- motivated and agile Should be able to influence and inspire Teams at all levels of the organization Roles & Responsibilities: Work closely with business, product, BEX & SQ teams to understand requirements Gather structured and unstructured data from multiple sources Clean and transform data to ensure quality and consistency Perform statistical analysis to identify trends, correlations, and anomalies. Use visualization tools to communicate data patterns and insights Design, build, and validate predictive models wherever required Select appropriate techniques based on problem type for ex regression Translate complex data findings into actionable business insights Develop reports, and visualizations to communicate results effectively to non- technical stakeholders Design and run experiments to test hypotheses and measure the impact of business decisions. Analyze test results and suggest next steps or optimizations. Stay updated with the latest trends, tools, and technologies in data science and machine learning. Interested candidates, Please share your resume to nandhinik.outsource@accesshealthcare.com Note: - Please share the above requirement with your friends.

Project Role : Application Support Engineer Project Role Description : Act as software detectives, provide a dynamic service identifying and solving issues within multiple components of critical business systems. Must have skills : OpenShift Virtualization Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Support Engineer, you will act as software detectives, providing a dynamic service that identifies and resolves issues within various components of critical business systems. Your typical day will involve collaborating with team members to troubleshoot problems, analyzing system performance, and ensuring the smooth operation of applications that are vital to business functions. You will engage with stakeholders to understand their needs and provide timely solutions, contributing to the overall efficiency and effectiveness of the organization. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the development and implementation of best practices for application support.- Provide training and guidance to junior team members on troubleshooting techniques. Professional & Technical Skills: - Must To Have Skills: Proficiency in OpenShift Virtualization.- Good To Have Skills: Experience with Kubernetes and container orchestration.- Strong understanding of cloud infrastructure and deployment models.- Familiarity with monitoring tools and performance tuning.- Experience in scripting languages for automation tasks. Additional Information:- The candidate should have minimum 3 years of experience in OpenShift Virtualization.- This position is based at our Gurugram office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : IBM z/OS Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and ensuring successful project delivery. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems for your immediate team and across multiple teams. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead the effort to design, build, and configure applications- Act as the primary point of contact- Manage the team and ensure successful project delivery Professional & Technical Skills: - Must To Have Skills: Proficiency in IBM z/OS- Strong understanding of statistical analysis and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information:- The candidate should have a minimum of 7.5 years of experience in IBM z/OS- This position is based at our Bengaluru office- A 15 years full-time education is required Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Data Engineering Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production-ready quality. You will apply GenAI models as part of the solution, including deep learning, neural networks, chatbots, and image processing. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Lead the implementation of AI/ML models.- Conduct research on emerging AI technologies.- Optimize AI algorithms for performance and scalability. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Engineering.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 5 years of experience in Data Engineering.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into effective solutions that address real-world challenges. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Continuously evaluate and improve existing processes and systems to optimize performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Good To Have Skills: Experience with cloud-based AI services.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Experience in developing and deploying chatbots and conversational agents. Additional Information:- The candidate should have minimum 7.5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Template Job Title - Decision Science Practitioner Analyst S&C GN Management Level :Senior Analyst Location:Bangalore/ Kolkata Must have skills: Collibra Data Quality - data profiling, anomaly detection, reconciliation, data validation, Python, SQL Good to have skills: PySpark, Kubernetes, Docker, Git Job Summary : We are seeking a highly skilled and motivated Data Science cum Data Engineer Senior Analyst to lead innovative projects and drive impactful solutions in domains such as Consumer Tech , Enterprise Tech , and Semiconductors . This role combines hands-on technical expertise , and client delivery management to execute cutting-edge projects in data science & data engineering Key Responsibilities Data Science and Engineering Implement and manage end to end Data Quality frameworks using Collibra Data Quality (CDQ). This includes requirement gathering from the client, code development on SQL, Unit testing, Client demos, User acceptance testing, documentation etc. Work extensively with business users, data analysts, and other stakeholders to understand data quality requirements and business use cases. Developdata validation, profiling, anomaly detection, and reconciliation processes. WriteSQL queries for simple to complex data quality checks . Python, and PySpark scripts to support data transformation and data ingestion. Deploy and manage solutions on Kubernetes workloads for scalable execution. Maintain comprehensivetechnical documentation of Data Quality processes and implemented solutions. Work in an Agile environment , leveraging Jira for sprint planning and task management. Troubleshoot data quality issues and collaborate with engineering teams for resolution. Provide insights forcontinuous improvement in data governance and quality processes. Build and manage robust data pipelines using Pyspark and Python to read and write from databases such as Vertica and PostgreSQL. Optimize and maintain existing pipelines for performance and reliability. Build custom solutions using Python, including FastAPI applications and plugins for Collibra Data Quality. Oversee the infrastructure of the Collibra application in Kubernetes environment, perform upgrades when required, and troubleshoot and resolve any Kubernetes issues that may affect the application's operation. Deploy and manage solutions, optimize resources for deployments in Kubernetes, including writing YAML files and managing configurations Build and deploy Docker images for various use cases, ensuring efficient and reusable solutions. Collaboration and Training Communicate effectively with stakeholders to align technical implementations with business objectives. Provide training and guidance to stakeholders on Collibra Data Quality usage and help them build and implement data quality rules. Version Control and Documentation Use Git for version control to manage code and collaborate effectively. Document all implementations, including data quality workflows, data pipelines, and deployment processes, ensuring easy reference and knowledge sharing. Database and Data Model Optimization Design and optimize data models for efficient storage and retrieval. Required Qualifications Experience:4+ years in data science Education:B tech, M tech in Computer Science, Statistics, Applied Mathematics, or related field Industry Knowledge:Preferred experience in Consumer Tech, Enterprise Tech, or Semiconductors but not mandatory Technical Skills Programming: Proficiency in Python , SQL for data analysis and transformation. Tools :Hands-on experience with Collibra Data Quality (CDQ) or similar Data Quality tools (e.g., Informatica DQ, Talend, Great Expectations, Ataccama, etc.). Experience working with Kubernetes workloads. Experience with Agile methodologies and task tracking using Jira. Preferred Skills Strong analytical and problem-solving skills with a results-oriented mindset. Good communication, stakeholder management & requirement gathering capabilities. Additional Information: - The ideal candidate will possess a strong educational background in quantitative discipline and experience in working with Hi-Tech clients - This position is based at our Bengaluru (preferred) and Kolkata office. About Our Company | AccentureQualification Experience: 4+ years in data science Educational Qualification:B tech, M tech in Computer Science, Statistics, Applied Mathematics, or related field

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into effective solutions that address real-world challenges. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Continuously evaluate and improve existing processes and systems to optimize performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Good To Have Skills: Experience with cloud-based AI services.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Experience in developing and deploying chatbots and conversational agents. Additional Information:- The candidate should have minimum 5 years of experience in Large Language Models.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

We are looking for a highly skilled and experienced Credit Officer to join our team at Equitas Small Finance Bank. The ideal candidate will have 2 to 7 years of experience in the BFSI industry, with expertise in credit analysis and risk management. Roles and Responsibility Conduct thorough credit analysis to assess customer creditworthiness. Develop and implement effective credit policies and procedures to minimize risk. Collaborate with cross-functional teams to ensure seamless credit processing. Monitor and analyze credit portfolio performance to identify areas for improvement. Provide expert guidance on credit-related matters to internal stakeholders. Stay updated with regulatory changes and industry trends to enhance credit operations. Job Requirements Strong understanding of credit principles, including credit scoring and risk assessment. Excellent analytical and problem-solving skills, with attention to detail. Ability to work effectively in a fast-paced environment and meet deadlines. Effective communication and interpersonal skills, with the ability to build relationships. Proficiency in credit software and systems, with strong technical skills. Experience working in the BFSI industry, preferably in a similar role.

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Data Analytics Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various stakeholders to gather requirements, overseeing the development process, and ensuring that the applications meet the specified needs. You will also engage in problem-solving discussions with your team, providing guidance and support to ensure successful project outcomes. Your role will require you to stay updated with industry trends and best practices to enhance application performance and user experience. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Facilitate communication between technical teams and stakeholders to ensure alignment on project goals.- Mentor junior team members, providing them with guidance and support in their professional development. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Analytics.- Good To Have Skills: Experience with data visualization tools such as Tableau or Power BI.- Strong understanding of statistical analysis and machine learning algorithms.- Hands-on experience with data cleaning, transformation, and normalization techniques.- Ability to interpret complex data sets and provide actionable insights. Additional Information:- The candidate should have minimum 3 years of experience in Data Analytics.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Data Analytics Good to have skills : SAP technical upgrade to HANA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. You will be responsible for ensuring the smooth functioning of applications and their integration with other systems. Your typical day will involve collaborating with cross-functional teams, analyzing user requirements, designing application solutions, and implementing them to enhance business processes and improve efficiency. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work-related problems.- Collaborate with cross-functional teams to analyze user requirements.- Design and develop applications to meet business process and application requirements.- Integrate applications with other systems to ensure smooth functioning.- Troubleshoot and debug applications to identify and resolve issues.- Perform code reviews and ensure adherence to coding standards.- Stay updated with emerging technologies and industry trends.- Provide technical guidance and support to junior team members. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Analytics.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 3 years of experience in Data Analytics.- This position is based at our Gurugram office.- A 15 years full-time education is required. Qualification 15 years full time education

Embark on a transformative journey as a Data Scientist at Barclays, where youll spearhead the evolution of our digital landscape, driving innovation and excellence. Youll harness cutting-edge technology to revolutionize our digital offerings, ensuring unparalleled customer experiences . Generates actionable insights for BUK from enormous amounts of data through the application of a broad range of advanced quantitative techniques to improve customer experience and senior leader decision-making Designs and delivers statistical and machine learning models into production, engaging with stakeholders to create transformative commercial value. Keeps abreast of the latest developments in data science and shares that knowledge with colleagues across the bank, to reinforce DNA s status as a center of excellence in data science within Barclays and outside of it. To be a successful Data Scientist you should have experience with: Coding proficiency in Python, with an ability to design, test, correct and document complex programmers and scripts Prior work in a comparable organization as a data scientist or in a technical analyst role. Scope and shape data science projects where you can help colleagues drive commercial value creatively. Use Python to extract, transform and analyze various types of data. Translate analysis into productions assets that generate recurring value for business areas, using well-documented, reproducible code. Some other highly valued skills may include: Using statistics or machine learning. Skill at pitching analysis to people that has impact and influence. Dynamism- A self-starter who is also an affable colleague and brings their own ideas to enrich and widen our thinking. Clear passion for making financial services more customer-centric using by data science ethically. You may be assessed on essential skills relevant to succeed in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills. The job location is Noida. Purpose of the role To use innovative data analytics and machine learning techniques to extract valuable insights from the banks data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organisation. Accountabilities Identification, collection, extraction of data from various sources, including internal and external sources. Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis. Development and maintenance of efficient data pipelines for automated data acquisition and processing. Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data. Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities. Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science. Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others. OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc). to solve problems creatively and effectively. Communicate complex information. Complex information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes.

Job Title: Data Scientist Lead (Technical Lead) Experience: 7+ years Work Location: work from office from Vadodara, Ahmedabad, Bangalore, OR Hyderabad Job Description With excellent analytical and problem-solving skills, you should understand business problems of the customers, translate them into scope of work and technical specifications for developing into Data Science projects. Efficiently utilize cutting edge technologies in AI, Generative AI areas and implement solutions for business problems. Good exposure technology platforms for Data Science, AI, Gen AI, cloud with implementation experience. Ability to provide end to end technical solutions leveraging latest AI, Gen AI tools, frameworks for the business problems. This Job requires the following: Designing, developing, and implementing end-to-end machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation) Deep experience in predictive analytics and statistical modeling Deep experience in successfully making use of the following: Logistic Regression Multivariate Regression, Support Vector Machines, Stochastic Processes, Decision Trees, Lifetime analysis, common clustering algorithms, Optimization, CNN Essential Qualifications B-Tech or BE - computer / IT or MCA or MSC- Computer Science along with necessary certifications is preferred Technical Qualifications (Essential) At least 2 to 3 ML apps deployed in production At least 1 to 2 Gen AI apps in production. Experience in Computer vision is a must. Core ML experience is a must Hands-on programming experience Hands-on technical design experience Hands-on prompt engineering experience At least 3 Data Science, AI Projects designed, developed and delivered to production At least 1 Generative AI Project designed, developed and delivered to production Primary Skills Hands-on coding experience in Python, PyTorch, Spark/PySpark, SQL, TensorFlow, NLP Frameworks and similar tools/frameworks Good understanding of business and domain of the applications Hands-on experience in design and development of Gen AI applications using Open Source LLMs and cloud platforms Hands-on experience in design and development of API based applications for AI and Data Science Projects Expertise in GenAI concepts, RAG and Models fine-tuning techniques Understand the concepts of major AI models such as OpenAI, Llama, Hugging Face, Mistral AI etc., and implementation experience Understanding of DevOps pipelines for deployment Good understanding of Data Engineering lifecycle data pipelines, data warehouse, data lake Secondary Skills End to end data engineering project experience using Databricks and Azure Data platform Knowledge of any configuration management tools is desirable Familiarity with containerization and container orchestration services like Docker and Kubernetes Description of Responsibility Sills / Competencies requirement Functional & Technical Responsibilities Understand customer’s requirements (Business, Functional, Non-Functional etc.,), conduct feasibility study and develop technical specifications for Data Science, AI and Gen AI Projects Design and implement scalable solutions for Data Science, AI and Gen AI Projects using major technology and computing platforms (open source and cloud) Possess excellent analytical and problem-solving skills and be able to understand various forms of data, patterns and derive insights. Should be able to develop efficient Prompts to automate project activities using LLM tools and provide end to end solutions Provide Generative AI solutions for the business/automation requirements using open source LLMs (Open AI, Llama, Mistral etc.,) Collaborate internal and external stakeholders for deriving solution that requires cross functional teams and smoother execution of the projects Provide technical solutions to sales, pre-sales teams for the proposals Develop and guide team members in implementation of solutions related to Data Science, AI and Gen AI Projects Expert knowledge of data modeling and understanding of different data structures Experience with design of AI/ML solutions either as standalone or integrated with other applications Research Orientation Proactive & Clear Communication Collaboration Solution Orientation Solution Articulation Accountability Adaptability / Flexibility Analytical Skills Listening Skills Customer Service Orientation

Req ID: 312478 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Digital Engineering Sr. Staff Engineer to join our team in Bangalore, Karn taka (IN-KA), India (IN). Job Duties: Job Title: Data Science AIML, GenAI Lead/Engineer Key Responsibilities: Develop and implement traditional machine learning algorithms. Deploy at least one model in a production environment. Write and maintain Python code for data science and machine learning projects. Minimum Skills Required: Preferred Qualifications: Knowledge of Deep Learning (DL) techniques. Experience working with Generative AI (GenAI) and Large Language Models (LLM). Exposure to Langchain. #GenAINTT

Salary : 30 to 45 LPA Exp: 6 to 10 years Location :Hyderabad (Hybrid) Notice: Immediate to 30 days..!! Roles & responsibilities: 5+ years exp on Python , ML and Banking model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 5+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Create experiments and prototype implementations of new learning algorithms and prediction techniques Collaborate with product managers, and stockholders to design and implement software solutions for science problems Use machine learning best practices to ensure a high standard of quality for all of the team deliverables Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization Hands-on experience with IFRS 9 models and regulations. Data Analysis: Analyze large datasets to identify trends and risk factors, ensuring data quality and integrity. Statistical Analysis: Utilize advanced statistical methods to build robust models, leveraging expertise in R programming. Collaboration: Work closely with data scientists, business analysts, and other stakeholders to align models with business needs. Continuous Improvement: Stay updated with the latest methodologies and tools in credit risk modeling and R programming.

Responsibilities: * Design and deliver data science training programs * Maintain up-to-date knowledge of industry trends and best practices * Collaborate with clients on project requirements

The Mis Executive is responsible for various key functions within the organization: Project Planning and Execution: The Mis Executive is involved in planning, scheduling, and executing data-related projects to ensure timely delivery and alignment with organizational objectives. Problem-Solving and Decision-Making: This role involves identifying data-related challenges, analyzing issues, and making informed decisions to address data discrepancies and improve data management processes. Collaboration with Cross-Functional Teams: The Mis Executive collaborates with different departments to gather data requirements, share insights, and align data management strategies with business goals. Leadership and Mentorship: The Mis Executive may provide leadership to a team of data analysts, guiding them on best practices, data handling techniques, and ensuring data quality standards are met. Process Improvement and Innovation: Continuous improvement of data management processes, implementing innovative solutions, and leveraging new technologies to enhance data analytics capabilities. Technical or Customer-Facing Responsibilities: Engaging in technical tasks such as data extraction, transformation, and loading (ETL), as well as interacting with clients or stakeholders to understand their data needs and provide relevant insights. Required Skills and Qualifications The ideal candidate for the Mis Executive position should possess the following skills, knowledge, and experience: Technical Skills: Proficiency in SQL, data visualization tools (e.g., Tableau, Power BI), advanced Excel, database management systems, and experience with ERP software. Educational Requirements: Bachelors degree in Computer Science, Information Management, Statistics, or a related field. Certifications in data analytics or business intelligence are a plus. Experience Level - Male candidate can only apply. Minimum of 5-7 years of experience in data analysis, MIS reporting, or business intelligence roles within the IT/Data Management sector. Soft Skills: Strong analytical skills, problem-solving abilities, excellent communication skills, adaptability to changing business needs, and leadership qualities. Industry Knowledge: Understanding of data privacy regulations, data governance principles, knowledge of industry-specific data management practices, and familiarity with emerging technologies in data analytics. Preferred Qualifications Additionally, the following qualifications would be advantageous for candidates applying for the Mis Executive role: Experience in implementing data management solutions in Telecom industries or organizations. Holding certifications in data science, project management, or leadership training. Familiarity with AI tools, automation platforms, cloud technologies, or industry-specific data management systems. Demonstrated experience in scaling data operations, expanding into global markets, or leading process improvement initiatives. Active participation in industry conferences, speaker panels, or contributing to published works related to data management. Proficiency in additional foreign languages to support global collaboration efforts.

What You'll Do Avalara is seeking a business-experienced and business analyst to join Global Analytics and Insights team. In this role, you will be responsible for providing analytical insights and recommendations to enable application of best practices in customer lifecycle management. You will be responsible to provide analytical insights that form the basis of GTM strategy, develop scalable models, drive new acquisitions, product and channel decisions. By combining a deep understanding of business concepts with knowledge of statistics and exploratory data analysis, you will uncover actionable insights & catalyze change for Avalara's customers. This rare opportunity involves creative freedom in generating insights, stakeholder management across multiple global teams and direct influence on our roadmap. What Your Responsibilities Will Be Collect, analyze, and interpret data from various sources to identify trends, patterns, and insights relevant to business objectives Perform ad-hoc analysis, reporting to support decision-making, solve business problems, and drive operational efficiencies Collaborate with business stakeholders to understand their data needs and translate requirements into analytical solutions Conduct data validation and quality assurance to ensure accuracy, completeness, and reliability of reports and analysis Work cross-functionally with Marketing, Strategy, Customer Success teams for various Sales and Marketing programs and initiatives; make clear, coherent and holistic recommendations based on test results Provide analytical deep-dives, monitor and optimize performance trends across multiple business units and try to decode the underlying reasons Integrate data from all 3rd party sources and develop Machine Learning algorithms to build propensity and value models for different products and geographies You will be reporting to Senior Manager, Business Analytics & Finance What You'll Need to be Successful 3+ years of relevant work experience in analyzing large, multi-dimensional data sets and synthesizing data insights into actionable recommendations A degree in a quantitative discipline such as Computer Science, Statistics, Engineering, or Mathematics Fluent in Python, SQL and MS-Excel (can maintain complex spreadsheets); experience with visualization tools such as PowerBI and building statistical models

Software Development (Web / Mobile / Backend) DevOps & Cloud Engineering AI/ML & Data Science Electronics / Embedded Systems Quality Assurance / Testing Product Engineering & R&D Who Should Apply: Final year B.E. / B.Tech students from CSE, IT, ECE, EE, ME, or related streams Strong problem-solving mindset and willingness to learn Basic understanding of any programming language or technical tools in your domain Good communication and collaboration skills What You ll Do: Work on real-time engineering and software projects Collaborate with senior engineers, designers, and product teams Solve challenging business or technical problems with modern tools Participate in agile development, testing, and deployment Learn continuously through structured training, mentorship, and hands-on experience What We Offer: 3 6 months pre-joining internship (optional for top candidates) Full-time employment post-graduation (2025) Performance-based bonuses and early promotion pathways Learning sessions, project showcases, and innovation labs Career roadmap with domain rotation options

Data Scientist Purpose This position will help us discover the information hidden in vast amounts of data and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. In Cotiviti, you will solve some of the most pressing Healthcare issues with access to an expansive library of data including claims, membership and demographics. You will work on building value-oriented, production level machine learning solutions in Healthcare Technology. This position will require applying your knowledge and experience to real world problems and seek to utilize Artificial Intelligence and Machine Learning to reduce healthcare costs and improve health quality and outcomes. Job Responsibilities 1. Engage with customers to identify opportunities to integrate data/insights into decision-making 2. Understand and translate business requirements from internal and external stakeholders into data product and features 3. Processing, cleansing, and verifying the integrity of data used for analysis 4. Conduct exploratory data analysis to verify the initial hypothesis associated with potential AI/ML use cases 5. Prepare your final trained model and develop a validation test set for QA 6. Work with production operations to deploy your model and monitoring model performance 7. Apply statistical methodology to solve business problems; appropriately interprets meaning from results 8. Contribute to data product discovery by developing business case analytics, user stories, conducting exploratory analyses, and prototyping ideas / analytics 9. Prepare project documentation, and conduct end user training 10. Conduct on-demand analyses to support key internal and client-facing deliverables 11. Cultivate and share best practices in structured problem solving and quantitative/qualitative analysis 12. Complete all responsibilities as outlined on annual Performance Plan Attributes And Behaviors 1. Develops and maintains positive working relationships with others 2. Shares ideas and information 3. Assists colleagues unprompted 4. Takes pride in the achievement of team objectives 5. Has credibility with team and senior managers 6. Self-motivated driven to achieve results 7. Works with a sense of urgency 8. High customer service ethic is passionate about meeting customer expectations 9. Keeps pace with change acquires knowledge/skills as the business evolves 10. Handles confidential information with sensitivity 11. Thinks for the benefit of the organization and team 12. Demonstrates independent thinking and comes up with approaches on different aspect of work 13. Is a role model for the team 14. Is a subject matter expert of the associated domain 15. Exhibits behaviors consistent with Cotiviti Values: a. Open b. Customer Driven c. Accountable d. Collaborative Relevant Experience & Educational Requirements 1. Bachelors or Masters degree in data/analytics, computer science, engineering, economics, mathematics or statistics 2. 4+ years’ experience building and deploying Machine learning models 3. 4+ years’ experience in working in Big Data environments 4. Experience in using machine learning tools to develop production strength models including, but not limited to, Python, TensorFlow, Keras, pandas, numpy, scikit-learn 5. Experience in healthcare analytics, consulting, technology/services, product development, or other relevant role will be an advantage 6. Deep understanding of supervised and unsupervised algorithms 7. Experience extracting and transforming source data using SQL, spark, scala, hive, impala 8. Ability to package insights in highly consumable and flexible formats for a variety of audiences 9. Ability to work well independently and with cross-functional, matrixed teams in an agile environment 10. Ability to handle multiple tasks, prioritize and meet deadlines

Faculty Associate at Coimbatore - Amrita Vishwa Vidyapeetham Faculty Associate at Coimbatore Faculty Associate at Coimbatore Amrita Vishwa Vidyapeetham, Coimbatore Campus is inviting applications from qualified candidates for the post of Faculty Associate For Details Contact: s_sundaram@cb. amrita. edu Job Title Faculty Associate Coimbatore, Tamil Nadu Qualification MCA/M. Sc / M. Tech in Computer Science Job description Department of Mathematics, Amrita School of Physical Science, Amrita Vishwa Vidyapeetham invites applications for a post of "Faculty Associate" in the field of Data Science. Job category Last date to apply July 30, 2025 Apply Online Thank You for contacting us! Well be in touch shortly. Phone no Add File or drop files here Upto 500kb | doc, docx & PDF format only Proffessional Experience Extra curricular activities To confirm your request , please check the box to let us know you are human