5453 Data Science Jobs - Page 16

About The Role : Job TitleRegulatory Control Lead, VP LocationBangalore, India Role Description We are seeking a highly experienced and strategic leader to join our FCR&C division as Vice President Financial Crime Risk and Control - Technology Risk Strategy & Controls . This role is critical in shaping the risk and control landscape across our technology platforms, with a strong emphasis on Python-based automation , audit readiness , and strategic risk governance . The ideal candidate will bring a blend of technical acumen , regulatory insight , and banking domain expertise to drive innovation and resilience in a complex, fast-paced environment. What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities Strategic Risk Leadership Define and lead the technology risk strategy for Financial Crime Risk and Compliance (FCR&C) division, aligning with enterprise risk appetite and regulatory expectations. Advise senior Leadership on emerging technology risks, regulatory developments (e.g., Basel III, EMIR, GwG, ECB), and control enhancements. Drive strategic initiatives to embed risk intelligence into digital transformation and innovation programs. Technology Enablement & Automation Lead the development of Python-based tools and analytics to automate risk assessments, control testing, and audit support. Oversee the integration of advanced analytics and AI/ML into risk monitoring and reporting frameworks. Collaborate with engineering and data teams to ensure secure, scalable, and compliant technology solutions. Audit, Controls & Regulatory Compliance Own the design and execution of IT control frameworks across trading platforms, payment systems, and client onboarding technologies. Partner with internal audit, DCO and compliance to ensure readiness for regulatory reviews and external audits. Monitor and assess control effectiveness across front-to-back banking processes, including trade lifecycle, credit risk, and operational risk. Review internal processes to confirm all financial crime risks have been appropriately identified and documented. Confirm relevant controls or risk mitigants are in place to manage all financial crime risks within internal processes. Perform design and/or operating effectiveness testing on controls and mitigants. Conduct annual assessment of controls within FCR&C to demonstrate they are operating effectively. Identify, analyse and review operational readiness for any change-related activities. Define the requirements e.g. for the standardisation of processes/policies, translating the required changes for an operational environment and overview effective implementation. Assess risks that are responsible for the mitigating and protecting the Banks reputation. Stakeholder Engagement & Governance Present testing results, risk insights, control metrics, and strategic recommendations to Leadership team Build strong partnerships with front office, operations, DCO, compliance, and technology teams to foster a risk-aware culture. Lead governance forums and working groups focused on technology risk and control transformation. Your skills and experience Qualifications: Bachelors or Masters degree in Computer Science, Information Systems, Finance, or a related field. 14+ years of experience in technology risk, audit, or compliance within investment or corporate banking. Strong proficiency in Python and experience leading automation or analytics initiatives in a regulated environment. Deep understanding of banking products, trading systems, and regulatory frameworks (e.g., SOX, Basel, MiFID II, DORA). Proven leadership in cross-functional teams and executive-level stakeholder management. Experience with testing the design and operating effectiveness of controls and remediating any identified control gaps. Analytical skills and attention to detail, with the ability to think laterally around issues, proposing solutions where required. Effective communication, organisation, prioritisation and interpersonal skills Ability to work to high standards and under strong time constraints. Preferred Certifications: Python/Data Science certifications MBA or executive leadership training (preferred) CISA, CRISC, or equivalent (desirable) How well support you

About The Role : Job TitleAnalytics Analyst, AS LocationBangalore, India Role Description Analytics is responsible for performing general analytics and statistical modelling in a timely manner to address current and future business needs across various areas of the business. Work includes Defining data requirements, data collection, processing, cleaning, analysis, modelling, visualisation, development of analytical toolkit and research techniques Examining and identifying data patterns and trends to help answer business questions and improve decision making Identifying areas to increase efficiency and automation of data analysis processes Providing business functions with data insights to help them achieve their strategic goals. Where the roles have a specific focus on Data Science, work will predominantly focus on: Creating data mining architectures/models/protocols, statistical reports, and data analysis methodologies to identify trends in large data sets Researching and applying knowledge of existing and emerging data science principles, theories, and techniques to inform business decisions Representing the bank as a data science practitioner in industry initiatives At higher career levels, they may conduct scientific research projects with the goal of breaking new ground in data analytics What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities Programming & Scripting: Strong Python programming skills for data analysis, automating tasks and building custom solutions. Strong SQL knowledge Experience with shell Alteryx and Tableau and added advantage. Data Analysis & Interpretation: Ability to identify trends, patterns, and insights from data. Strong analytical and problem-solving skills. Data Preparation & Transformation: Proficiency in data cleansing, transformation, and integration from various sources. Experience with data wrangling, including handling missing values, outliers, and data type conversion. Data Visualization & Reporting: Ability to communicate insights effectively through data storytelling. Expertise in creating interactive dashboards, visualizations, and reports. Communication & Collaboration: Ability to clearly communicate findings and recommendations to both technical and non-technical audiences. Ability to work effectively in a team environment. Tools Mentioned: Python: For coding, advanced analytics, reporting, visualization and automation. SQL : Advanced for data extraction, manipulation, integration Alteryx: For data preparation, transformation, and integration. Tableau: For data visualization and reporting. Your skills and experience 5-8+ years of proven experience in developing and working on Python A solid understanding of SQL, relational database management system, data modeling Experience working on Alteryx and Tableau an added advantage Strong communication skills. Attention to detail and accuracy. How well support you

SurveyMonkey is the world s most popular platform for surveys and forms, built for business loved by users. We combine powerful capabilities with intuitive design, effectively serving every use case, from customer experience to employee engagement, market research to payment and registration forms. With built-in research expertise and AI-powered technology, it s like having a team of expert researchers at your fingertips. Trusted by millions from startups to Fortune 500 companies SurveyMonkey helps teams gather insights and information that inspire better decisions, create experiences people love, and drive business growth. Discover how at surveymonkey.com . What were looking for We re looking for a seasoned and strategic Senior Director of Product to lead a diverse portfolio of products and capabilities from our India office. This leader will oversee our global mobile app strategy for respondents, drive innovation in our AI-powered response quality systems, and manage product strategy for specific panel acquisition channels. You ll report to the Chief Product Officer and will be responsible for driving product vision, strategy, and execution across a wide surface area (SurveyMonkey Apply, Wufoo, and GetFeedback Digital) with a focus on quality, scale, and innovation. This is a critical leadership role that requires someone who can inspire and grow a high-performing team, collaborate globally, and deliver measurable outcomes across both user experience and business performance. What you ll be working on Lead a team of ~10 PMs responsible for a broad portfolio spanning consumer and enterprise use cases, platform extensions, and feedback collection experiences for Wufoo, SM Apply, and GetFeedback Digital Drive product strategy for high-scale systems and user-facing experiences that power our panel, rewards, mobile, and partner ecosystems Ensure product investments in the region align with company strategy, user needs, and cross-functional priorities Collaborate closely with global teams in Product, Engineering, UX, Marketing, and Operations to deliver cohesive, high-impact solutions We d love to hear from people with 10+ years in Product Management, with 5+ years in leadership roles managing PMs and cross-functional partners Proven experience overseeing a multi-surface product portfolio, ideally with both B2B and B2C components Strong understanding of user acquisition, engagement, quality, and feedback loops especially in scaled marketplaces or feedback systems Experience working in or with global teams; able to operate with influence across time zones and cultures Strong analytical mindset; comfortable working with data science, payments, and operational teams Excellent communication and organizational leadership skills with a track record of driving outcomes through collaboration and clarity Based in or willing to relocate to Bangalore, with the ability to work closely with both regional and global teams SurveyMonkey believes in-person collaboration is valuable for building relationships, fostering community, and enhancing our speed and execution in problem-solving and decision-making. As such, this opportunity is hybrid and requires you to work from the SurveyMonkey office in Bengaluru 3 days per week. #LI - Hybrid Why SurveyMonkeyWe re glad you asked SurveyMonkey is a place where the curious come to grow. We re building an inclusive workplace where people of every background can excel no matter their time zone. At SurveyMonkey, we weave employee feedback and our core values into everything we do to create forward-looking benefits policies, employee programs, and an award-winning culture, including our annual holiday refresh, our annual week of service , learning and development opportunities like Curiosity Week , and our C.H.O.I.C.E Fund . Our commitment to an inclusive workplace SurveyMonkey is an equal opportunity employer committed to providing a workplace free from harassment and discrimination. We celebrate the unique differences of our employees because that is what drives curiosity, innovation, and the success of our business. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. Accommodations are available for applicants with disabilities.

We are seeking a highly skilled Senior Data Scientist with experience in pricing optimization, pricing elasticity, and AWS SageMaker. The ideal candidate will have a strong foundation in Statistics and Machine Learning, with a particular focus on Bayesian modeling. As part of our Data Science team, you will work closely with clients to develop advanced pricing strategies using state-of-the-art tools and techniques, including AWS SageMaker, to optimize business outcomes. Experience : 5 to 7 Years Work Location : Hyderabad Key Responsibilities: Lead and contribute to the development of pricing optimization models, leveraging statistical and machine learning techniques to inform strategic decisions. Analyze pricing elasticity to predict consumer response to changes in price, helping clients maximize revenue and market share. Implement and deploy machine learning models using AWS SageMaker for scalable and efficient performance in a cloud environment. Utilize Bayesian modeling to support decision-making processes, providing insights into uncertainty and model predictions. Collaborate with cross-functional teams to integrate data-driven insights into business processes. Communicate complex results and findings in a clear and concise manner to both technical and non-technical stakeholders. Continuously explore and experiment with new modeling approaches and tools to improve accuracy and efficiency of pricing solutions. Bachelor s or Master s degree in Data Science, Statistics Mathematics Economics, or a related field. Advanced degrees preferred. 5+ years of hands-on experience in data science, with a focus on pricing optimization and elasticity mode

Software Development Engineer III Back to job search results Tesco India Bengaluru Hybrid Full-Time Apply by 31-Aug-2025 About the role Refer you will be responsible section What is in it for you At Tesco, we are committed to providing the best for you. As a result, our colleagues enjoy a unique, differentiated, market- competitive reward package, based on the current industry practices, for all the work they put into serving our customers, communities and planet a little better every day. Our Tesco Rewards framework consists of pillars - Fixed Pay, Incentives, and Benefits. Total Rewards offered at Tesco is determined by four principles - simple, fair, competitive, and sustainable. Salary - Your fixed pay is the guaranteed pay as per your contract of employment. Leave & Time-off - Colleagues are entitled to 30 days of leave (18 days of Earned Leave, 12 days of Casual/Sick Leave) and 10 national and festival holidays, as per the companys policy. Making Retirement Tension-FreeSalary - In addition to Statutory retirement beneets, Tesco enables colleagues to participate in voluntary programmes like NPS and VPF. Health is Wealth - Tesco promotes programmes that support a culture of health and wellness including insurance for colleagues and their family. Our medical insurance provides coverage for dependents including parents or in-laws. Mental Wellbeing - We offer mental health support through self-help tools, community groups, ally networks, face-to-face counselling, and more for both colleagues and dependents. Financial Wellbeing - Through our financial literacy partner, we offer one-to-one financial coaching at discounted rates, as well as salary advances on earned wages upon request. Save As You Earn (SAYE) - Our SAYE programme allows colleagues to transition from being employees to Tesco shareholders through a structured 3-year savings plan. Physical Wellbeing - Our green campus promotes physical wellbeing with facilities that include a cricket pitch, football field, badminton and volleyball courts, along with indoor games, encouraging a healthier lifestyle. You will be responsible for Programming System Design Development Practise Infrastructure Software Security Operations and Maintenance Core Technology Development Lifecycle Product Methodologies Retail Technology Awareness Communication & Influencing Data Analytics & Insights Strategic Thinking & Problem Solving Finance & Procurement Curiosity & Learning Embracing and Enabling Change You will need Refer you will be responsible section About us Tesco in Bengaluru is a multi-disciplinary team serving our customers, communities, and planet a little better every day across markets. Our goal is to create a sustainable competitive advantage for Tesco by standardising processes, delivering cost savings, enabling agility through technological solutions, and empowering our colleagues to do even more for our customers. With cross-functional expertise, a wide network of teams, and strong governance, we reduce complexity, thereby offering high-quality services for our customers. Tesco in Bengaluru, established in 2004 to enable standardisation and build centralised capabilities and competencies, makes the experience better for our millions of customers worldwide and simpler for over 3,30,000 colleagues Tesco Technology Today, our Technology team consists of over 5,000 experts spread across the UK, Poland, Hungary, the Czech Republic, and India. In India, our Technology division includes teams dedicated to Engineering, Product, Programme, Service Desk and Operations, Systems Engineering, Security & Capability, Data Science, and other roles. At Tesco, our retail platform comprises a wide array of capabilities, value propositions, and products, essential for crafting exceptional retail experiences for our customers and colleagues across all channels and markets. This platform encompasses all aspects of our operations from identifying and authenticating customers, managing products, pricing, promoting, enabling customers to discover products, facilitating payment, and ensuring delivery. By developing a comprehensive Retail Platform, we ensure that as customer touchpoints and devices evolve, we can consistently deliver seamless experiences. This adaptability allows us to respond flexibly without the need to overhaul our technology, thanks to the creation of capabilities we have built. Apply

About The Role Skill required: Delivery - Fraud Data & Analytics Designation: I&F Decision Sci Practitioner Sr Analyst Qualifications: Any Graduation Years of Experience: 5 to 8 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do Visit us at www.accenture.com.Fraud Data Analyst is responsible for designing unique analytic approaches to detect, assess, and mitigate identity and fraud risk. Analyze the effectiveness of our day-to-day fraud policy and rules in our fraud systems. Analyze large amounts of applications, account, and transaction data to build actionable insights to derive the methods to identify fraud risk, reduce friction and enhance experience on money movement.Data governance & management, data science, analytics (Artificial Intelligence, Machine Learning, Natural Language Processing/Generation, Network Analysis, etc.) and technology to predict, identify, detect, measure, and prevent internal and external fraud, bribery and corruption for an organization. What are we looking for Strong knowledge of financial products and processes, including Account Application, ACH, RDC, debit cards, credit cards, P2P, lending products, and deposit accounts Knowledge of CIP and fraud related verification and authentication processes including DOCV, eCBSV, MFA, KBA, and more. An expert in SQL, Tableau, preferred to have Python based data analytics experience Experience with working with fraud solutions vendors and their data directly, such as Socure, Sentilink, iOvation, LexisNexus, Falcon, Visa, Zelle, and more Fraud analytics:5+ years Data and ML analytics:3+ years Reporting analytics, e.g. tableau:5 + years Roles and Responsibilities: Develop new data driven rules with data attributes and ML scores that optimize decisioning performance between member experience and fraud prevention Develop data insights to help understand customers banking behavior and preferences Develop personalized segmentations and micro-segmentation to identify customers based on their fraud risk, banking behavioral, and value Work with external fraud prevention vendors to optimize their performance and assist in maintaining, design and implementation of existing and new fraud detection tools Aggregate and analyze internal and external risk datasets to understand performance of fraud decisioning and granular performance of multiple decision methods Find insights from risk data sets to improve fraud strategies and rules Participate in regular root-cause analysis to form the correct hypothesis in preparing for fraud detection framework Able to lead fraud/risk investigations for both simple and complex cases to successful conclusions and mark false positives and false negative cases Qualification Any Graduation

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About The Role Skill required: Delivery - Fraud Data & Analytics Designation: I&F Decision Sci Practitioner Specialist Qualifications: Any Graduation Years of Experience: 7 to 11 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do Visit us at www.accenture.com.Fraud Data Analyst is responsible for designing unique analytic approaches to detect, assess, and mitigate identity and fraud risk. Analyze the effectiveness of our day-to-day fraud policy and rules in our fraud systems. Analyze large amounts of applications, account, and transaction data to build actionable insights to derive the methods to identify fraud risk, reduce friction and enhance experience on money movement.Data governance & management, data science, analytics (Artificial Intelligence, Machine Learning, Natural Language Processing/Generation, Network Analysis, etc.) and technology to predict, identify, detect, measure, and prevent internal and external fraud, bribery and corruption for an organization. What are we looking for Strong knowledge of financial products and processes, including Account Application, ACH, RDC, debit cards, credit cards, P2P, lending products, and deposit accounts Knowledge of CIP and fraud related verification and authentication processes including DOCV, eCBSV, MFA, KBA, and more. An expert in SQL, Tableau, preferred to have Python based data analytics experience Experience with working with fraud solutions vendors and their data directly, such as Socure, Sentilink, iOvation, LexisNexus, Falcon, Visa, Zelle, and more Fraud analytics:5+ years Data and ML analytics:3+ years Reporting analytics, e.g. tableau:5 + years Roles and Responsibilities: Develop new data driven rules with data attributes and ML scores that optimize decisioning performance between member experience and fraud prevention Develop data insights to help understand customers banking behavior and preferences Develop personalized segmentations and micro-segmentation to identify customers based on their fraud risk, banking behavioral, and value Work with external fraud prevention vendors to optimize their performance and assist in maintaining, design and implementation of existing and new fraud detection tools Aggregate and analyze internal and external risk datasets to understand performance of fraud decisioning and granular performance of multiple decision methods Find insights from risk data sets to improve fraud strategies and rules Participate in regular root-cause analysis to form the correct hypothesis in preparing for fraud detection framework Able to lead fraud/risk investigations for both simple and complex cases to successful conclusions and mark false positives and false negative cases Qualification Any Graduation

Job Title: Senior Software Engineer Job Location: Pune Job Description: Company Introduction Join Nitor Infotech, an Ascendion company, where we leverage advanced technologies to drive innovation and deliver impactful solutions. Our collaborative environment empowers teams to excel in data science and AI. Job Overview We are seeking a Senior Software Engineer with expertise in Generative AI and multi-agent systems to lead complex projects and develop advanced AI solutions. This full-time, remote position reports to the Head of Data Science. Key Responsibilities Technical Leadership Execute complex Generative AI projects utilizing RAG (Retrieval-Augmented Generation) techniques. Design and implement multi-agent AI systems using frameworks like AutoGen, LangGraph, and Crew.AI. Develop advanced AI solutions for image processing, document analysis, and multi-format data handling (PDF, Excel, CSV). Build and optimize Large Language Models (LLMs) with custom embeddings and vector stores. Implement prompt engineering and debugging strategies for agentic AI systems. Project Management & Strategy Oversee the complete project lifecycle from requirements gathering to deployment and documentation. Coordinate with multiple stakeholders across business domains. Translate complex technical insights into strategic business decisions. Ensure projects are delivered on time, within scope, and exceed client expectations. Conduct AI model evaluation and performance optimization. Team Leadership & Mentorship Foster a culture of continuous learning and technical excellence. Facilitate collaboration between NLP/NLU engineers, analysts, and operations teams. Guide team members through complex project challenges and technical problem-solving. Advanced Analytics & Machine Learning Apply advanced ML techniques including bagging, boosting, and clustering algorithms (K-means, hierarchical clustering, DBSCAN). Implement feature engineering and selection methodologies for optimal model performance. Develop hyperparameter tuning strategies for various ML models. Handle imbalanced datasets using advanced AI techniques. Deploy MLOps practices for continuous integration and delivery. Must-Have Skills and Qualifications 3+ years of experience in Data Science, Machine Learning, and NLP. 2+ years of hands-on experience with Generative AI and Large Language Models. 2+ years of experience in Agentic AI and multi-agent systems. Proficiency in Python and key libraries (NumPy, Pandas, Scikit-learn, NLTK, Spacy). Experience with ML frameworks: XGBoost, CatBoost, AdaBoost, LightGBM, Gradient Boosting. Knowledge of cloud platforms (AWS) and deployment strategies. Expertise in RAG implementation and vector database management (ChromaDB, FAISS). Experience with multi-agent frameworks (AutoGen, LangGraph, Crew.AI). Strong communication skills with the ability to present to both technical and non-technical stakeholders. Proven track record of leading technical teams and managing complex projects. Good-to-Have Skills and Qualifications Masters degree in Computer Science, Data Science, or related field. Published research or patents in the AI/ML domain. Experience with web scraping and data visualization tools (Streamlit, Matplotlib, Seaborn). Familiarity with AutoML and PyParet frameworks. Knowledge of SQL, MySQL, and database management. Understanding of statistical modeling and advanced analytics. What We Offer Competitive salary and performance bonuses. Comprehensive health and wellness benefits. Opportunities for professional development and career growth. A supportive and inclusive work environment. DEI Statement At Nitor Infotech, we embrace diversity in all forms. We actively foster an inclusive environment where every voice is valued. ISMS Statement Nitor Infotech maintains ISO 27001 certification. All employees must adhere to our information security policies. Preferred candidate profile Immediate joiner Pune Location

We are looking for a skilled Python Developer with expertise in Machine Learning to join our team at Panacorp Software Solutions. The ideal candidate will have 6 years of experience and a strong background in developing scalable and efficient machine learning models. Roles and Responsibility Design, develop, and deploy machine learning models using Python. Collaborate with cross-functional teams to identify business problems and develop solutions. Develop and maintain large-scale data pipelines and architectures. Implement automated testing and deployment scripts. Troubleshoot and resolve technical issues related to machine learning models. Stay updated with industry trends and advancements in machine learning. Job Requirements Strong proficiency in Python programming language. Experience with machine learning frameworks such as TensorFlow or PyTorch. Knowledge of deep learning techniques and their applications. Familiarity with cloud platforms such as AWS or Google Cloud. Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a team environment.

We are looking for a highly skilled Machine Learning Engineer with expertise in Generative AI to join our team at Kapture CRM. The ideal candidate will have 2-7 years of experience and a strong background in software product development. Roles and Responsibility Design and develop machine learning models using various algorithms and techniques. Collaborate with cross-functional teams to integrate machine learning solutions into existing products. Develop and maintain large-scale data pipelines and architectures. Conduct research and experimentation to improve model performance and efficiency. Work closely with data engineers to ensure seamless data integration. Implement automated testing and deployment scripts. Job Requirements Strong understanding of machine learning fundamentals, including supervised and unsupervised learning. Experience with deep learning frameworks such as TensorFlow or PyTorch. Proficiency in programming languages such as Python, Java, or C++. Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a fast-paced environment. Strong communication and interpersonal skills.

Required Skills and Qualifications. 7+ years of experience as a Python Developer with a strong portfolio of projects. In-depth understanding of the Python software development stacks, ecosystems, frameworks and tools such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, sci-kit-learn and PyTorch. Experience with front-end development using HTML, CSS, and JavaScript. Familiarity with database technologies such as SQL and NoSQL. Excellent problem-solving ability with solid communication and collaboration skills. Preferred Skills and Qualifications Experience with popular Python frameworks such as Django, Flask or Pyramid. Knowledge of data science and machine learning concepts and tools. A working understanding of cloud platforms such as AWS, Google Cloud or Azure. Contributions to open-source Python projects or active involvement in the Python community. Roles and Responsibilities Objectives of the Role Develop, test and maintain high-quality software using Python programming language. Participate in the entire software development lifecycle, building, testing and delivering high-quality solutions. Collaborate with cross-functional teams to identify and solve complex problems. Write clean and reusable code that can be easily maintained and scaled. Able to articulate, write the unit test cases to execute. Your Tasks Create large-scale data processing pipelines to help developers build and train novel machine learning/Artificial Intelligence algorithms and data engineering development. Participate in code reviews, ensure code quality and identify areas for improvement to implement practical solutions. Debugging codes when required and troubleshooting any Python-related queries. Keep up to date with emerging trends and technologies in Python development.

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Python (Programming Language) Good to have skills : Office 365, SharepointMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will be responsible for designing, building, and configuring applications to meet business process and application requirements. Advanced proficiency in Generative AI is required. Intermediate level of proficiency in LLMOps is recommended. OpenAI ChatGPT with Advanced proficiency and Responsible AI with Intermediate proficiency are suggested skills. Develop innovative AI solutions using Generative AI technology Implement Responsible AI practices in application development Collaborate with cross-functional teams to enhance OpenAI ChatGPT integration Optimize LLMOps processes for efficient application deployment. Having skills in Data Science, Data Analysis, Machine Learning, Cloud Technologies, data engineering, Java, Python etc. 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 documentation of application specifications and user guides.- Collaborate with cross-functional teams to gather requirements and provide technical insights. Professional & Technical Skills: - Must To Have Skills: Proficiency in Python (Programming Language).- Strong understanding of application development frameworks and methodologies.- Experience with database management and SQL.- Familiarity with version control systems such as Git.- Knowledge of software testing and debugging techniques. Additional Information:- The candidate should have minimum 3 years of experience in Python (Programming Language).- 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 : Dataiku Data Science Studio (DSS) Good to have skills : NAMinimum 5 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. A typical day involves collaborating with various teams to understand their needs, developing solutions that align with business objectives, and ensuring that applications are optimized for performance and usability. You will also engage in problem-solving activities, providing support and enhancements to existing applications while staying updated with the latest technologies and methodologies in application development. 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.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure timely delivery of application features. Professional & Technical Skills: - Must To Have Skills: Proficiency in Dataiku Data Science Studio (DSS).- Strong understanding of data integration and transformation processes.- Experience with application development methodologies such as Agile or Scrum.- Familiarity with data visualization techniques and tools.- Ability to troubleshoot and resolve application issues efficiently. Additional Information:- The candidate should have minimum 5 years of experience in Dataiku Data Science Studio (DSS).- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Responsibilities: Lead and manage end-to-end data science projects, including project planning, scoping, budgeting, resource allocation, and timeline management. Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders, to define project requirements, deliverables, and milestones. Conduct project kick-off meetings, define project objectives, and establish clear project scopes and deliverables. Develop and maintain project plans, track progress, and provide regular updates to stakeholders, ensuring project milestones are met within the defined timeline. Identify and manage project risks, issues, and dependencies, implementing mitigation strategies and contingency plans as necessary. Coordinate and communicate project activities, ensuring alignment with organizational goals and objectives. Monitor project budget, resource utilization, and expenses, making necessary adjustments to optimize project performance and efficiency. Foster a collaborative and innovative work environment, promoting knowledge sharing and best practices within the data science team. Stay updated with industry trends, emerging technologies, and advancements in data science methodologies, and propose relevant process improvements or tool adoption. Provide leadership and mentorship to the data science team, facilitating their professional growth and development. Requirements: Bachelor's degree in computer science, Data Science, Statistics, or a related field. A master's degree is preferred. Proven experience (5+ years) in managing data science projects, preferably in a fast-paced and dynamic environment. Strong understanding of data science concepts, machine learning algorithms, and statistical modeling techniques. Proficient in project management methodologies, tools, and techniques. Excellent organizational and time management skills, with the ability to prioritize tasks and meet deadlines. Exceptional problem-solving and analytical abilities, with keen attention to detail. Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and present complex concepts to non-technical stakeholders. Strong leadership skills, with the ability to motivate and inspire team members. Experience with data visualization tools, programming languages (e. g., Python, R), and big data technologies is a plus. Whatspp - 9886683329

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : PySpark Good to have skills : Apache SparkMinimum 5 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 that the applications are developed according to the specified requirements and are aligned with the business goals. Your typical day will involve collaborating with the team to understand the application requirements, designing and developing the applications using PySpark, and configuring the applications to meet the business process needs. You will also be responsible for testing and debugging the applications to ensure their functionality and performance. 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.- Design and build applications using PySpark.- Configure applications to meet business process requirements.- Collaborate with the team to understand application requirements.- Test and debug applications to ensure functionality and performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in PySpark.- Good To Have Skills: Experience with Apache Spark.- 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 PySpark.- This position is based at our Chennai 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 : Machine Learning Good to have skills : NAMinimum 18 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 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 on integrating generative AI models into various applications, which may include deep learning, neural networks, chatbots, and image processing. Collaborating with cross-functional teams, you will contribute to the advancement of AI technologies and their practical applications in real-world scenarios, driving innovation and efficiency within the organization. Roles & Responsibilities:- Expected to be a Subject Matter Expert with deep knowledge and experience.- Should have influencing and advisory skills.- Engage with multiple teams and responsible for team decisions.- Expected to provide solutions to problems that apply across multiple teams, and provide solutions to business area problems.- Facilitate knowledge sharing sessions to enhance team capabilities and foster a culture of continuous learning.- Analyze and evaluate existing systems to identify areas for improvement and optimization. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning.- Strong understanding of various machine learning algorithms and their applications.- Experience with cloud-based AI services and deployment strategies.- Familiarity with programming languages such as Python or R for data analysis and model development.- Knowledge of data preprocessing techniques to ensure high-quality input for machine learning models. Additional Information:- The candidate should have minimum 18 years of experience in Machine Learning.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Role & responsibilities Extract, clean, and analyze large data sets using SQL Design and build dashboards and reports using Power BI Knowledge on Python, DBT, GIT, Clickhouse, Postgres & Airflow is optional Translate business problems into data questions and analytics models. Partner with business stakeholders to identify KPIs and track performance metrics. Develop predictive and prescriptive models to support decision-making. Present findings and actionable insights to senior leadership. Ensure data quality, consistency, and governance standards are maintained. Mentor junior analysts or interns as needed. Preferred candidate profile Bachelors or Masters degree in Statistics, Data Science, Computer Science, Mathematics, Economics, or a related field. 2+ years of experience in data analytics, business intelligence, or data science roles. Strong proficiency in SQL, Excel, and data visualization tools (e.g., Power BI). Good understanding of databases, ETL pipelines, and cloud data environments (e.g., AWS, GCP, Azure). AI & ML knowledge will be an added advantage. Excellent communication and storytelling skills Strong problem-solving skills and attention to detail. Interested parties, please forward your full resume to career.india@emiratesline.com

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 Science Good to have skills : NAMinimum 3 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 technologies, including deep learning, neural networks, and image processing, while also exploring the integration of generative AI models into your projects. Collaboration with team members and stakeholders will be essential as you contribute to innovative solutions that address complex challenges in the field of artificial intelligence. 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 gather requirements and translate them into technical specifications.- Conduct research and stay updated on the latest advancements in AI and machine learning technologies. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Good To Have Skills: Experience with cloud platforms such as AWS, Azure, or Google Cloud.- Strong understanding of machine learning algorithms and their applications.- Experience in developing and deploying AI models in production environments.- Familiarity with programming languages such as Python or R for data analysis and model development. Additional Information:- The candidate should have minimum 3 years of experience in Data Science.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Strategist Project Role Description : Develop and implement a data strategy and architecture for improving the management, governance, and security of that information. Enable organizations to have a single source of truth for all data, helping them translate information into action to drive efficiency and competitive advantage. Must have skills : Qlik Replicate Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Strategist, you will develop and implement a comprehensive data strategy and architecture aimed at enhancing the management, governance, and security of information. Your typical day will involve collaborating with various teams to ensure that the organization has a unified source of truth for all data, enabling effective decision-making and driving operational efficiency. You will engage in strategic discussions, analyze data needs, and work towards translating complex information into actionable insights that contribute to the organization's competitive advantage. 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.- Facilitate workshops and training sessions to enhance team capabilities.- Monitor and evaluate the effectiveness of data strategies and make necessary adjustments. Professional & Technical Skills: - Must To Have Skills: Proficiency in Qlik Replicate.- Strong analytical skills to interpret complex data sets.- Experience with data governance frameworks and best practices.- Familiarity with data integration and transformation processes.- Ability to communicate technical concepts to non-technical stakeholders. Additional Information:- The candidate should have minimum 5 years of experience in Qlik Replicate.- This position is based in Pune.- A 15 years full time education is required. Qualification 15 years full time education

Hiring for multiple opportunities for candidates with experience into Data science/ ML/ NLP/ LLM/ responsible AI/ Gen AI Role: Data scientist/ responsible AI/ NLP/ LLM Location: Mutiple / PAN india Mode: hybrid Minimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary: Roles & Responsibilities: - Expected to be a SME with deep knowledge and experience. - Should have Influencing and Advisory skills. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Expected to provide solutions to problems that apply across multiple teams. - Develop and implement responsible AI frameworks. - Conduct audits and assessments of AI systems for ethical compliance. - Collaborate with cross-functional teams to ensure responsible AI practices are integrated. Professional & Technical Skills: - 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 15 years of experience in Responsible AI. - A 15 years full-time education is required.

4+ years of experience as a Data Scientist. Hands-on experience with Azure AI services and tools. Strong understanding of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), data insights, reasoning agents, and chain of thought reasoning. Knowledge of Graph Databases such as Cosmos DB, Neo4j, and other graph data management systems. Expertise in prompt engineering to optimize AI model interactions. Experience in API development and integration. Domain expertise in Finance and Data Management. Proven track record working on enterprise AI use cases, including at least one successful go-live solution.

Global Gen AI Developer Enabling a software-defined, electrified future. Visteon is a technology company that develops and builds innovative digital cockpit and electrification products at the leading-edge of the mobility revolution. Founded in 2000, Visteon brings decades of automotive intelligence combined with Silicon Valley speed to apply global insights that help transform the software-defined vehicle of the future for many of the worlds largest OEMs. The company employs 10,000 employees in 18 countries around the globe. To know more about us click here. Mission of the Role: Facilitate Enterprise machine learning and artificial intelligence solutions using the latest technologies Visteon is adopting globally. Key Objectives of this Role: The primary goal of the Global ML/AI Developer is to leverage advanced machine learning and artificial intelligence techniques to develop innovative solutions that drive Visteons strategic initiatives. By collaborating with cross-functional teams and stakeholders, this role identifies opportunities for AI-driven improvements, designs and implements scalable ML models, and integrates these models into existing systems to enhance operational efficiency. Following development best practices, fostering a culture of continuous learning, and staying abreast of AI advancements, the Global ML/AI Developer ensures that all AI solutions align with organizational goals, support data-driven decision-making, and continuously improve Visteons technological capabilities. Qualification, Experience and Skills: 6-8 Yrs Technical Skills: Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch), programming languages (e.g., Python, R, SQL), and data processing tools (e.g., Apache Spark, Hadoop). Proficiency in developing, training, and deploying ML models, including supervised and unsupervised learning, deep learning, and reinforcement learning. Strong understanding of data engineering concepts, including data preprocessing, feature engineering, and data pipeline development. Experience with cloud platforms (preferably Microsoft Azure) for deploying and scaling ML solutions. Business Acumen : Strong business analysis and ability to translate complex technical concepts into actionable business insights and recommendations. Key Behaviors: Innovation: Continuously seeks out new ideas, technologies, and methodologies to improve AI/ML solutions and drive the organization forward. Attention to Detail: Pays close attention to all aspects of the work, ensuring accuracy and thoroughness in data analysis, model development, and documentation. Effective Communication: Clearly and effectively communicates complex technical concepts to non-technical stakeholders, ensuring understanding and alignment across the organization.

Role Overview: The Senior Tech Lead with expertise in Google Cloud Platform (GCP) AI technologies, including Gemini. This role involves leading the design, development, and deployment of advanced AI solutions, ensuring they align with organizational goals and adhere to ethical AI practices. Responsibilities: Lead the development and implementation of AI-driven solutions using GCP services and Gemini technologies. Collaborate with stakeholders to understand business requirements and translate them into scalable, secure technical solutions. Design and optimize AI architectures for performance, reliability, and cost-effectiveness. Establish best practices for AI model development, deployment, and monitoring. Ensure compliance with ethical AI principles, data governance, and security standards. Provide technical leadership and mentorship to cross-functional teams, including data scientists and engineers. Stay updated with emerging trends in AI and cloud technologies, particularly within the GCP ecosystem. Troubleshoot and resolve complex technical issues related to AI systems. Document architectural designs, technical decisions, and best practices for future reference. Eligibility Criteria: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Extensive experience with GCP AI services and Gemini technologies. Strong understanding of AI architecture, machine learning, and optimization techniques. Proficiency in programming languages such as Python, Java, or similar. Experience with cloud-based AI solutions and MLOps practices is a plus. Familiarity with ethical AI principles and frameworks. Knowledge of data governance, compliance standards, and security protocols. Excellent problem-solving and analytical skills. Proven leadership and team management abilities. Ability to work in a fast-paced environment and manage multiple priorities. Our Offering Global cutting-edge IT projects that shape the future of digital and have a positive impact on environment. Wellbeing programs & work-life balance - integration and passion sharing events. Attractive Salary and Company Initiative Benefits Courses and conferences Attractive Salary Hybrid work culture

Hiring Data Science trainer/Tutor Experience in teaching Python, SQL, ML Minimum experience required - 3 years