5534 Data Science Jobs - Page 39

As the leader of the Card Risk Analytics team supporting the credit cards business, your primary responsibility is to drive the next generation of analytical solutions. This involves revamping Acquisition Rules to promote profitable and risk-adjusted growth, enhancing Card Limit assignment framework, identifying cohorts and segments to drive acquisition volume, and conducting portfolio interventions for offer base enhancement and line/loan amount assignment. Furthermore, you will be tasked with enhancing Fraud Risk Management through rule efficacy improvements and developing fraud models. You will also be responsible for leading the development and monitoring of Risk, Collection, and Marketing models for the Credit Cards portfolio. Additionally, driving business efficiencies by focusing on Cross-Sell, developing targeted pre-approved bases for Cross-sell of Loans/Cards, enhancing customer engagement through portfolio segmentation, and working towards infrastructure enhancements for advanced analytics and data science will be crucial aspects of your role. Independently managing and leading analytics projects, maintaining relationships with stakeholders, engaging with internal stakeholders for analytics project ideas, and addressing challenges in respective areas are key responsibilities. Furthermore, engaging with external stakeholders such as Partners, Credit Bureaus, and Fintechs is essential. Managing a large team of 25+ individuals will be part of your role. To apply for this position, please contact us at +919329149022 or email pratik.kankaria@skillventory.com.,

You will be joining a forward-thinking team at Tecblic, a company specializing in delivering AI-driven solutions to empower businesses in the digital age. If you are passionate about Large Language Models (LLMs), machine learning, and pushing the boundaries of Agentic AI, we welcome you to be a part of our innovative team. As a Machine Learning Engineer at Tecblic, your key responsibilities will include conducting research and development to design and fine-tune machine learning models, with a specific focus on LLMs and Agentic AI systems. You will be responsible for optimizing pre-trained LLMs for domain-specific use cases, collaborating with software engineers and product teams to integrate AI models into customer-facing applications, and performing data preprocessing, pipeline creation, feature engineering, and exploratory data analysis for dataset preparation. Additionally, you will design and implement model deployment pipelines, prototype innovative solutions using cutting-edge techniques, and provide technical mentorship to junior team members. In terms of core technical skills, we require proficiency in Python for machine learning and data science tasks, expertise in ML frameworks and libraries like PyTorch, TensorFlow, and Hugging Face, a solid understanding of LLMs such as GPT, T5, BERT, or Bloom, experience in NLP tasks, knowledge of deep learning architectures, strong data manipulation skills, and familiarity with cloud services and ML model deployment tools. Exposure to Agentic AI, MLOps tools, generative AI models, prompt engineering, few-shot/fine-tuned approaches for LLMs, vector databases, version control, and collaborative development practices would be considered advantageous. Furthermore, we are looking for individuals with a strong analytical and mathematical background, including proficiency in linear algebra, statistics, and probability, as well as a solid understanding of algorithms and data structures to solve complex ML problems. Soft skills such as excellent problem-solving, critical-thinking, communication, collaboration, self-motivation, and continuous learning mindset are also highly valued. If you are ready to contribute your expertise and passion for machine learning and AI to a dynamic and innovative team, Tecblic is the place for you. Join us in pushing the boundaries of technology and creating impactful AI-driven solutions for businesses in the digital era.,

As a Data Scientist at UST, you will independently develop data-driven solutions to tackle complex business challenges by utilizing analytical, statistical, and programming skills to collect, analyze, and interpret large datasets under supervision. Your role involves working closely with stakeholders across the organization to identify opportunities for leveraging customer data in creating models that generate valuable business insights. You will be responsible for creating new experimental frameworks, building automated tools for data collection, correlating similar datasets, and deriving actionable results. Additionally, you will develop predictive models and machine learning algorithms to analyze vast amounts of information, uncover trends, and patterns. By mining and analyzing data from company databases, you will drive optimization and improvement in product development, marketing techniques, and business strategies. Moreover, you will be expected to create processes and tools to monitor and analyze model performance, data accuracy, and develop data visualization and illustrations to address business problems effectively. Your role will also involve using predictive modeling to enhance and optimize customer experiences and other business outcomes. Collaboration with different functional teams to implement models and monitor outcomes is essential. You will be required to set and provide feedback on FAST goals for reportees. Key responsibilities include applying statistical techniques like regression, properties of distributions, and statistical tests to analyze data, as well as utilizing machine learning techniques such as clustering, decision tree learning, and artificial neural networks for data analysis. Moreover, you will be creating advanced algorithms and statistics through regression, simulation, scenario analysis, and modeling. In terms of data visualization, you will visualize and present data for stakeholders using tools like Periscope, Business Objects, D3, ggplot, etc. You will oversee the activities of analyst personnel, ensuring efficient execution of their duties, while mining the business's database for critical insights and communicating findings to relevant departments. Other expectations include creating efficient and reusable code for data improvement, manipulation, and analysis, managing project codebase through version control tools like git and bitbucket, and creating reports depicting trends and behaviors from analyzed data. You will also be involved in training end users on new reports and dashboards, documenting your work, conducting peer reviews, managing knowledge, and reporting task status. The ideal candidate will possess excellent pattern recognition and predictive modeling skills, a strong background in data mining and statistical analysis, expertise in machine learning techniques, and advanced algorithm creation. Moreover, analytical, communication, critical thinking, attention to detail, mathematical, and interpersonal skills are crucial for success in this role. Proficiency in programming languages such as Java, Python, R, web services like Redshift and S3, statistical and data mining techniques, computing tools, analytical languages, data visualization software, mathematics, spreadsheet tools, DBMS, operating systems, and project management tools is required. Additionally, a strong understanding of statistical concepts, SQL, machine learning (Regression and Classification), deep learning (ANN, RNN, CNN), advanced NLP, computer vision, Gen AI/LLM, AWS Sagemaker/Azure ML/Google Vertex AI, and basic implementation experience of Docker, Kubernetes, kubeflow, MLOps, Python (numpy, panda, sklearn, streamlit, matplotlib, seaborn) is essential for this role.,

As an experienced professional with 8-12 years of experience in Database technologies, scripting, BI tools, and Data Science, you will be responsible for understanding customer requirements, documenting technical designs, and developing ETL jobs, reports, dashboards, and data marts. You will play a key role in translating business requirements into effective designs and implementing solutions using a variety of tools and technologies. Your responsibilities will include: - Understanding customer requirements, problem statements, and business use cases. - Documenting customer requirements and technical designs. - Developing and testing ETL jobs, query objects, data marts, reports, and dashboards. - Designing OLAP cubes, SQL reports, interactive charts, and dashboards. - Writing stored procedures, functions, packages, scripts, and complex SQL queries. - Reviewing existing report designs, database schemas, and SQL code to enhance performance and operational aspects. - Collaborating closely with customers for solution fine-tuning and troubleshooting production issues. - Monitoring tasks efficiently and providing status reports to senior management, customers, and stakeholders. - Demonstrating problem analysis and resolution skills, including debugging at the OS, database, or network level if necessary. - Possessing an understanding of cloud deployment architecture and Big Data platforms as an added advantage. To excel in this role, you must have hands-on experience with various database technologies such as Oracle, MS SQL Server, MySQL, and PostgreSQL. Additionally, proficiency in scripting languages like Java, Python, and R is required. Experience with contemporary reporting and BI tools like Crystal Reports, Tableau, and PowerBI is essential. Knowledge of ETL platforms like Informatica and SSIS, as well as data modeling and data warehouse design, is crucial. Your expertise in data science, AI, and ML will be utilized for designing and implementing data-driven use cases. Strong communication skills, problem-solving abilities, and familiarity with project management concepts and Agile delivery methodology are necessary for successful project execution. If you are seeking a challenging opportunity to leverage your technical skills and contribute to innovative solutions in the field of data analytics and business intelligence, this role offers a dynamic environment where you can thrive and make a significant impact.,

We are looking for a talented Web/Android App Developer Intern to join our team at Greenin Urja. As an intern, you will have the opportunity to work on exciting projects and gain hands-on experience in the renewable energy industry. Your day-to-day responsibilities will include developing and maintaining web and Android applications using Java, HTML, and WordPress. You will also be implementing data science techniques to analyze and visualize data for decision-making purposes. Collaboration with cross-functional teams will be essential to ensure seamless integration of applications. In addition, you will be responsible for troubleshooting and debugging issues to ensure optimal performance of the apps and assisting in creating comprehensive documentation for app development processes. Keeping yourself updated on industry trends and technologies to enhance app functionality will be crucial. Moreover, you will be supporting the team in various tasks related to MS-Word, MS-Excel, and other software tools. If you are passionate about technology and sustainability, this internship is perfect for you. Don't miss out on this opportunity to contribute to a greener future with Greenin Urja! Apply now. About Company: Greenin Urja deals in sales, R&D, repair, and maintenance services in electrical and electronics, robotics, and solar system solutions. The company is expanding its business in the hybrid digital e-commerce platform.,

As a versatile and experienced Software Engineer, you will utilize your strong programming skills in C++, Java, Python, and JavaScript/TypeScript, along with a foundational understanding of machine learning (ML) and natural language processing (NLP). Your passion for software development, data science, and AI-driven applications will drive you to contribute to building scalable, intelligent, and user-friendly web applications. You will design, develop, and maintain web applications using JavaScript, TypeScript, and Python. Additionally, you will build and optimize backend services and APIs using Java, C++, or Python while applying multi-paradigm programming principles to solve complex engineering problems. Collaboration with data scientists to integrate ML/NLP models into production systems will be a key aspect of your role. In this position, you will conduct data analysis, data processing, and performance tuning for AI-driven features. Your involvement in the full software development life cycle (SDLC), including design, development, testing, and deployment, will be crucial. Staying updated with emerging technologies in AI, agentic systems, and web development will also be expected from you. To be successful in this role, you should hold a Bachelors or Masters degree in Computer Science, Information Technology, or a related field, along with 6-9 years of experience in software development with a focus on AI, data science, or web applications. Proficiency in programming languages such as C++, Java, Python, JavaScript, and TypeScript, as well as web development skills including HTML, CSS, and modern JS frameworks (React, Angular, etc.), is required. Knowledge of ML algorithms, NLP concepts, and data analysis is essential, and familiarity with Meta Language (Standard ML) or other functional programming paradigms would be a plus. A strong understanding of software engineering principles, version control, and agile methodologies is necessary. Preferred qualifications for this role include experience with agentic AI systems or AI research, exposure to cloud platforms (AWS, GCP, Azure) and DevOps practices, as well as contributions to open-source projects or research publications in AI/ML.,

As a Software Solutions Provider dedicated to being a valuable partner in our clients" success, Compusoft Advisors India Pvt. Ltd. offers world-class ERP, CRM, Cloud, and Mobility solutions at an affordable price. With a presence across India and Singapore, we serve customers across various domains, including Manufacturing, Supply Chain, Retail, Financial Institutions, Real Estate, Education, IT and Professional Services, Aerospace, Aviation, and Oil & Energy. This full-time on-site role for an AI Technofunctional Consultant based in Thane requires the successful candidate to implement AI-driven solutions and integrate AI technologies with enterprise applications. The AI Technofunctional Consultant will also be responsible for consulting on AI best practices, collaborating with various teams to understand business requirements, conducting pattern recognition, deploying machine learning models, performing natural language processing (NLP) tasks, and continuously enhancing AI capabilities to meet client needs. The ideal candidate for this role should have a minimum of 5 to 7 years of experience as a Data Scientist or Data Analyst. Strong capabilities in Pattern Recognition and Machine Learning, expertise in Natural Language Processing (NLP) and Data Science, consulting skills to translate business requirements into technical solutions, excellent analytical and problem-solving skills, and the ability to work collaboratively with cross-functional teams are essential for this position. Experience with enterprise applications (ERP, CRM) would be a plus. Educational Qualifications for this role include a Data Science or Engineering degree, with a Master's degree in Computer Science, Data Science, AI, or a related field being preferred.,

As an experienced professional in asset management, you will be responsible for overseeing the deployment, configuration, and optimization of Central Monitoring Systems (CMS) to ensure real-time monitoring of operational systems and assets. Your role will involve seamless integration of CMS with renewable energy plants such as Solar, Wind, and Battery Energy Storage Systems (BESS). Additionally, you will manage the setup and performance of the Computerized Maintenance Management System (CMMS) to align with operational needs and facilitate effective maintenance management. Your expertise will be crucial in analyzing historical equipment performance data to identify recurring issues and potential failure patterns. By proactively addressing concerns, you will optimize reliability and minimize downtime. You will also play a key role in developing a strategy for adopting Predictive Maintenance, integrating IoT sensors, and selecting suitable analytics tools to enhance asset performance. Collaboration with cross-functional teams including IT, engineering, operations, and maintenance departments will be essential to ensure alignment of technology systems with overall business objectives. Your analytical skills will be utilized to monitor the performance of renewable energy assets, identify underperforming assets or trends indicating potential failures, and recommend improvements or corrective actions. Furthermore, your role will involve establishing, tracking, and reporting on key performance indicators (KPIs) for energy generation, efficiency, uptime, and reliability. By leveraging advanced data analytics, machine learning, and AI models, you will forecast equipment failures, optimize maintenance schedules, and extend asset life cycles to drive continuous improvement in asset efficiency and reliability. In addition to your technical responsibilities, you will collaborate with senior management to provide regular performance reports and insights, highlighting key trends and recommendations for improving asset performance. Your ability to establish protocols, processes, and standards for the central monitoring team will ensure consistent performance, timely issue resolution, and continuous improvement across all monitored systems and assets. The ideal candidate for this position holds a B. Tech/B.E. degree with 15 to 17 years of work experience, demonstrating proficiency in asset performance monitoring tools. Knowledge of Analytics and Data Science is preferable, along with strong analytical thinking, problem-solving skills, team management, communication, planning, root cause analysis, and failure analysis capabilities. If you are seeking a role that offers a competitive salary, great work culture, and opportunities for career progression, this position could be the next step in your professional journey. Reach out to Pankaj Roshan to explore this exciting opportunity further. (Note: Job reference: JN-032025-6705513),

The WRB Data Technology team at Standard Chartered Bank supports Data and Business Intelligence, Finance and Risk projects globally by delivering data through data warehouse solutions. The team is composed of data specialists, technology experts, and project managers who work closely with business stakeholders to implement end-to-end solutions. Standard Chartered Bank is looking to hire skilled data professionals with relevant experience to contribute to the team's objectives. The successful candidates will be expected to work in a global environment, drawing from both internal and external talent pools. Your responsibilities as a member of the WRB Data Technology team will include participating in data warehousing migration programs involving cross-geography and multi-functional delivery. You will need to align project timelines to ensure successful project delivery, provide support for data analysis, mapping, and profiling, and perform data requirement gathering, analysis, and documentation. Additionally, you will be responsible for mapping data attributes from different source systems to target data models, interpreting use case requirements, designing target data models/data marts, and profiling data attributes to assess data quality and provide remediation recommendations. It is crucial to ensure that data use complies with data architecture principles, including golden sources and standard reference data. Furthermore, you will be involved in data modeling for better data integration within the data warehouse platform and project delivery, engaging consultants, business analysts, and escalating issues in a timely manner. You will work closely with Chapter Leads and Squad Leads to lead projects and manage various stakeholders, including business, technology teams, and internal development teams. Your role will involve transforming business requirements into data requirements, designing data models for use cases and data warehousing, creating data mapping templates, and profiling data to assess quality, suitability, and cardinality. You will also support data stores inbound and/or outbound development, perform data acceptance testing, provide direction on solutions from a standard product/architecture perspective, and participate in key decision-making discussions with business stakeholders. Additionally, you will be responsible for supporting System Integration Testing (SIT) and User Acceptance Testing (UAT), managing change requests effectively, ensuring alignment with bank processes and standards, and delivering functional specifications to the development team. To excel in this role, you should possess domain knowledge and technical skills, along with 6-8 years of experience in banking domain/product knowledge with IT working experience. A graduate degree in computer science or a relevant field is required, and familiarity with tools such as Clarity, ADO, Axess, and SQL is beneficial. Strong communication and stakeholder management skills are essential, as well as the ability to write complex SQL scripts. Knowledge of Base SAS is an advantage, and familiarity with Retail Banking and Wealth Lending data is ideal. You should be able to work effectively in a multi-cultural, cross-border, and matrix reporting environment, demonstrating knowledge management for MIS applications, business rules, mapping documents, data definitions, system functions, and processes. With a background in business or data analysis roles, you should have a good understanding of data analytics, deep dive capabilities, and excellent attention to detail and time management. This role offers the opportunity to become a go-to person for data across the bank globally, providing extensive exposure to all parts of the bank's business model. It serves as a solid foundation for a future career in the broader data space, preparing individuals for roles in analytics, business intelligence, and big data. Your work will contribute to driving commerce and prosperity through unique diversity, aligning with Standard Chartered Bank's purpose and brand promise to be here for good. If you are passionate about making a positive difference and are eager to work in a collaborative and inclusive environment, we encourage you to join our team at Standard Chartered Bank.,

As an Artificial Intelligence Teacher (International curriculum) at KiiTIS, you will be responsible for delivering high-quality education in the field of Artificial Intelligence. To qualify for this position, you should hold a bachelor's degree in a relevant subject such as Computer Science, AI, or a related field. Additionally, having 3-5 years of professional or industry experience in AI fields would be highly desirable. Your technical expertise should include proficiency in Python, machine learning frameworks such as Tensor Flow and Scikit-learn, as well as knowledge of data science and ethical AI principles. It is important to have a good understanding of AI applications in various sectors such as business, healthcare, cyber security, and robotics. If you are passionate about teaching and possess the required qualifications and technical skills, we encourage you to submit your resume along with a covering letter to careers@kiitis.ac.in by 31st July, 2025.,

You are an experienced data scientist with 11-12 years of experience in the field. You possess expert knowledge of statistics and probability theory along with proficiency in at least one programming language such as Python, R, or SQL. Your experience includes working with reinforcement learning and GenAI, as well as an expert understanding of machine learning algorithms and models. You have advanced knowledge of data cleaning and preprocessing techniques and are skilled in data analysis and interpretation. Your strong communication and presentation skills enable you to effectively convey complex technical concepts to various stakeholders. In addition, you have experience in leading and managing teams, making you a valuable asset in collaborative environments. Your preferred domain is telecom, where you have demonstrated your expertise in applying data science techniques to solve industry-specific challenges. Your primary skillset lies in data science, with additional skills in Python and data science, making you a well-rounded professional in the field.,

As a Senior Data Scientist and Architect at Citi, you will play a crucial role in designing and architecting high-performance Analytical Dashboard & Performance Metrics used by senior stakeholders across our Banking and International (B&I) franchise. You will collaborate with teams from B&I Data and subject matter experts from Risk/Finance/Technology to design, validate, develop, and deploy both minimum viable products (MVP) and ready-to-deploy solutions. In this role, you will have the opportunity to work on defining, ideating, developing, and distributing analytical dashboard solutions with far-reaching impact for the international business at Citi. You will lead versatile teams of junior data scientists, analysts, and engineers, ensuring the design, build, and enhancement of high-performance, data-intensive solutions from data acquisition to visualization and distribution. Additionally, you will focus on building and enhancing existing data quality processes to maintain accuracy, timeliness, and completeness of various dashboards and reports. Your role will involve coordinating work within the team or project group, liaising with multiple data teams/departments, and serving as a subject matter expert for planning and analysis of project deliverables and processes. To excel in this position, you should possess 15 years of experience in the Banking or Finance industry, with a strong understanding of business analysis, project management, and solution design. Effective communication skills are essential, as you will be required to develop and deliver multi-mode communications that cater to different audiences, driving consensus and influencing relationships at all levels. Proficiency in SQL, Python, Tableau, Java, web development frameworks, and data science concepts is mandatory for this role. As an adaptable, creative, and resourceful team player with a strong work ethic, you will be well-equipped to tackle technical challenges, troubleshoot issues, and drive innovation in a supported, resource-rich environment. A Bachelor's or Master's degree is required for this role, and any additional job-related duties may be assigned as needed. Citi is committed to being an equal opportunity and affirmative action employer, providing qualified individuals with the opportunity to apply for career opportunities. If you require a reasonable accommodation due to a disability during the application process, please review the Accessibility at Citi guidelines.,

As a Software System Designer 2 at AMD, you will play a crucial role in contributing to the development of next-generation computing experiences across various industries such as data center, artificial intelligence, PCs, gaming, and embedded systems. You will have the opportunity to work with cutting-edge AMD technologies and be a part of a dynamic team that is dedicated to delivering innovative solutions. In this role, you will be responsible for performance analysis and software optimization, building and deploying software for high-performance computing, data science, virtualization, and machine learning platforms. You will also be involved in defining, developing, and executing regression test models, driving innovation in production software environments, and exploring novel approaches to solve complex problems in heterogeneous computing. The ideal candidate for this position is a self-starter with a keen eye for detail and the ability to multitask effectively. You should possess strong communication and presentation skills, along with a passion for pushing the boundaries of software development on innovative platforms. With 3 to 15 years of experience, you should have a good understanding of test lifecycle, QA processes, and terminology. Preferred experience includes knowledge of device drivers, graphics, multimedia, and codecs, as well as proficiency in at least one programming language, preferably Python. Hands-on experience with Linux OS internals, device management, and issue debugging skills are essential. Familiarity with parallel programming languages like OpenCL, ROCm, CUDA, and OpenACC, as well as machine learning and artificial intelligence technologies, is a plus. You should hold a Bachelor's or Master's degree in Electrical Engineering, Mathematics, Computer Science, Engineering, or a related field to qualify for this role. Strong analytical, problem-solving, and interpersonal skills are necessary, along with excellent verbal and written communication abilities. A positive attitude, result-driven mindset, and the ability to work with next-gen technology are key attributes for success in this position. If you are looking to be part of a forward-thinking team at AMD that is dedicated to pushing the boundaries of innovation and technology, this role offers an exciting opportunity to make a meaningful impact in the industry.,

As a Data Scientist at Transworld Systems, Inc. (TSI), you will have the opportunity to utilize your Python coding skills to address complex issues and extract valuable insights from public databases. Our team is looking for individuals who can effectively communicate, collaborate, and support the organization in achieving its goals. This is a full-time role that requires U.S. schedule - India Night shift. At TSI, we offer a supportive work environment with growth opportunities, comprehensive benefits package, including medical coverage, paid time off, and paid holidays. In addition, we provide transportation facilities for our employees. You will be working 5 days a week in a team-oriented setting. Key Responsibilities: - Develop Python code to address complex issues and derive insights from public databases - Collaborate with the team to achieve organizational objectives - Clearly articulate the logic and reasoning behind the code written in Jupyter notebooks - Debug code, create comprehensive documentation, and respond to business queries using available datasets - Engage with stakeholders to understand requirements and deliver results effectively Qualifications: - Bachelor's/Master's Degree in Engineering, Computer Science, or equivalent - Minimum of 2 years of experience as a data scientist - Proficiency in Python programming and data analysis - Familiarity with SQL, Rest API, Tableau, and related technologies is desirable - Strong communication skills to collaborate with stakeholders and researchers - Excellent problem-solving and analytical abilities - Fluency in conversational and written English communication Physical Requirements: - Normal, corrective vision range with the ability to see color and distinguish letters, numbers, and symbols - Ability to sit, stand, walk, talk, hear, bend, reach, and lift up to 30lbs Work Conditions: You should be able to perform the essential job functions with or without reasonable accommodation. The work environment is typically indoors with moderate noise levels. Please note that this job description may not include all responsibilities assigned, and duties can be modified as per business requirements. Your comprehension and acknowledgment of this job description are appreciated. The salary range for this position is INR 1,500,000.00 - INR 2,400,000.00 per year. If you are a motivated and ambitious individual with a passion for data analysis and problem-solving, we encourage you to join our dynamic team at TSI and contribute to our mission of delivering exceptional customer relationship outsourcing services.,

As part of ACL Digital, an ALTEN Group Company, you will be contributing to digital product innovation and engineering as a key player. Our focus lies in assisting our clients in the design and development of cutting-edge products that are AI, Cloud, and Mobile ready, along with creating content and commerce-driven platforms. Through a design-led Digital Transformation framework, we facilitate the creation of connected, converged digital experiences tailored for the modern world. By leveraging our expertise in strategic design, engineering, and industry knowledge, you will play a crucial role in helping our clients navigate the digital landscape, thereby accelerating their growth trajectory. Headquartered in Silicon Valley, ACL Digital is a frontrunner in design-led digital experiences, innovation, enterprise modernization, and product engineering services, particularly within the Technology, Media & Telecom sectors. We are proud of our diverse and skilled workforce, which is part of the larger ALTEN Group comprising over 50,000 employees spread across 30+ countries, fostering a multicultural workplace and a collaborative knowledge-sharing environment. In India, our operations span across Bangalore, Chennai, Pune, Panjim, Hyderabad, Noida, and Ahmedabad, while in the USA, we have established offices in California, Atlanta, Philadelphia, and Washington states. As a suitable candidate for this role, you are expected to possess the following technical skills and competencies: - A minimum of 4-5 years of relevant experience in the field - Preferably trained or certified in Data Science/Machine Learning - Capable of effectively collaborating with technical leads - Strong communication skills coupled with the ability to derive meaningful conclusions - Proficiency in Data Science concepts, Machine Learning algorithms & Libraries like Scikit-learn, Numpy, Pandas, Stattools, Tensorflow, PyTorch, XGBoost - Experience in Machine Learning Training and Deployment pipelines - Familiarity with FastAPI/Flask framework - Proficiency in Docker and Virtual Environment - Proficient in Database Operations - Strong analytical and problem-solving skills - Ability to excel in a dynamic environment with varying degrees of ambiguity Your role would involve the following responsibilities and competencies: - Applying data mining, quantitative analysis, statistical techniques, and conducting experiments to derive reliable insights from data - Understanding business use-cases and utilizing various sources to collect and annotate datasets for business problems - Possessing a strong academic background with excellent analytical skills and exposure to machine learning and information retrieval domain and technologies - Strong programming skills with the ability to work in languages such as Python, C/C++ - Acquiring data from primary or secondary sources and performing data tagging - Filtering and cleaning data based on business requirements and maintaining a well-defined, structured, and clean database - Working on data labeling tools and annotating data for machine learning models - Interpreting data, analyzing results using statistical techniques and models, and conducting exploratory analysis If you are someone who thrives in a challenging and dynamic environment and possesses the required technical skills and competencies, we look forward to having you join our team at ACL Digital.,

The FDR/CVR Data Analyst will play a critical role in ensuring the safety and efficiency of aircraft operations by performing in-depth analysis of flight data. You will work with large datasets from flight recorders to monitor aircraft health and support return-to-service processes. Collaborating with various teams, you will interpret data, develop reports, and ensure compliance with industry standards. Additionally, you will contribute to the development of new data analysis methodologies and tools, provide technical expertise, and maintain thorough documentation. Your key responsibilities will include performing detailed readouts and analysis of FDR and CVR data to support aircraft health monitoring and return-to-service processes. You will construct and manage dataframes for organizing and analyzing large datasets from flight recorders. Collaborating with cross-functional teams, including engineers and data scientists, you will interpret and present findings. Developing and maintaining documentation and reports related to FDR/CVR readouts and data analysis will also be part of your role. Ensuring compliance with industry standards and regulatory requirements in all data handling and analysis processes will be essential. Additionally, you will provide technical expertise and support in the development of new methodologies and tools for data analysis. To qualify for this position, you should have a Bachelor's degree in Aerospace Engineering, Data Science, or a related field. An advanced degree is preferred. Proven experience in FDR and CVR readouts and analysis is required. Proficiency in dataframe construction and data analysis is essential. Strong analytical and problem-solving skills with attention to detail are necessary. Excellent communication skills, both written and verbal, with the ability to present complex data in a clear and concise manner are important. Knowledge of aviation safety regulations and standards is a plus. You should be able to work independently and as part of a team in a fast-paced environment. AMETEK, Inc. is a leading global provider of industrial technology solutions serving a diverse set of attractive niche markets with annual sales over $7.0 billion. AMETEK is committed to making a safer, sustainable, and more productive world a reality. Differentiated technology solutions are used to solve customers" most complex challenges. With 21,000 colleagues in 35 countries, AMETEK is grounded by core values: Ethics and Integrity, Respect for the Individual, Inclusion, Teamwork, and Social Responsibility. AMETEK (NYSE: AME) is a component of the S&P 500. Visit www.ametek.com for more information.,

Wipro Limited is a leading technology services and consulting company that focuses on creating innovative solutions to meet the complex digital transformation needs of clients. With a vast portfolio of capabilities in consulting, design, engineering, and operations, Wipro helps clients achieve their bold ambitions and build sustainable businesses. The company, with over 230,000 employees and business partners in 65 countries, is committed to assisting customers, colleagues, and communities in thriving in a rapidly evolving world. To learn more, visit www.wipro.com. Role: Data Science GenAI Architect Title: Data Science Architect Location: Gurgaon / Noida Key Responsibilities: - Develop working proof of concepts (POC) and prototypes quickly. - Create and integrate AI-driven solutions to address identified opportunities and challenges. - Lead cross-functional teams to identify and prioritize key business areas where AI solutions can deliver benefits. - Present proposals to executives and business leaders on various technology strategies, standards, and governance for AI. - Collaborate with engineering and business leaders on functional design, process design, prototyping, testing, and defining support models. - Document and articulate solutions architecture and lessons learned from each exploration and accelerated incubation. Relevant IT Experience: - Minimum of 10 years of relevant IT experience in the specified technology. Competencies: - Client Centricity - Passion for Results - Execution Excellence - Problem Solving & Decision Making - Effective Communication Mandatory Skills: Technology (Alight IT) Experience: 8-10 Years At Wipro, we are shaping a modern organization focused on end-to-end digital transformation. We are seeking individuals who are inspired by reinvention - of themselves, their careers, and their skills. Join us in our journey to constantly evolve our business and industry. At Wipro, we embrace change and empower you to design your own reinvention. Realize your ambitions with us. We welcome applications from individuals with disabilities.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Cyber Security is seeking a Security architect to join the Cyber AI team. This position will use machine learning, data engineering, automation, and Data Science principles to solve enterprise problems and advance our mission. This role is a key contributor to our practice and will be directly responsible for design, development, deployment, design reviews and processing of all of AI first projects. The successful candidate will work closely with key stakeholders to drive key project activities and involve Cybersecurity domains are included in AI development. We are seeking candidates with passion to lead the implementation of cutting-edge technology and methodologies while establishing strong partnerships with data owners and stakeholders across Cyber Security. **Responsibilities:** - Work in or lead an agile team to design and build architectures on AI solutions. - Engage proactively with customers to better understand their needs and obtain feedback. - Acquire and develop technology agnostic reference architectures across AI Security Architecture. - Reviewing current state AI system security architectural foundations and recommend enhancements with target roadmaps. - Develop vendor agnostic security solution architecture with technology reference architecture aligned to various best practices such as NIST, ENISA, ETSI etc. - Vital contributor to develop security design patterns, framework, approach, and methodology in the discipline of AI Security, developing project timelines for ongoing system upgrades. - Ensure to collaborate across domain and solution architects at different sub-competency of Cyber Security and act as CoE Champion to aggregated best practices of security reference architecture. - Conduct Technology and Infrastructure Security Assessment in terms of threat, vulnerability, and risk aspects of an enterprise security architecture perspective. - Develop Technology design and program planning to bring in value added solution delivery and ensure strategic alignment and long-term business benefits. - Engage in grooming security analysts and solution architects to bring in holistic perspective in every solution delivery. - Ability to create AI models utilizing deep learning, neural networks, and ML algorithms to derive business insights and fuel informed decision-making. - Thorough understanding of linear algebra, probability, and statistics to comprehend and use AI models such as Naive Bayes, Gaussian mixture models, and linear discriminant analysis. - Knowledge to build a variety of AI applications, including language translation, visual recognition or perception, and targeted advertising based on sentiment analysis. - Develop scalable algorithms capable of learning, analyzing and predicting future events. - Structure business problems and drive viable, data-driven hypotheses in collaboration with business partners. - Devise, develop and disseminate actionable intelligence from disparate data sources using advanced data analytics tools and techniques. - Ability to perform in depth data analysis including but not limited to: Machine Learning, Classification, Optimization, Time Series analysis, Pattern Recognition. **Candidate must have thorough understanding and experience on following in terms of AI and AI Security:** - Threat models - Security analysis - Design and integration into AI and ML infra - Some familiarity with offensive perspective on AI attack model perspective, model extraction, data poison, etc. **QUALIFICATIONS:** **Required Skills:** - 5+ years of experience as Architect with skills on AI and AI Systems. - 3+ years working with languages Python and SQL. - 3+ years applying statistics in data analyses (ex. regression modeling, econometrics, classification labeling, recommendation, parametric/non-parametric modeling, etc.). - 5 or more years experience presenting and delivering results to business partners and leadership. - 2 or more years experience in Cyber Security domain knowledge. - Strong project management, negotiation and interpersonal skills. - Advanced written and verbal communication skills and presentation skills. - You may also have a Bachelor's and/or postgraduate degree in computer science, information systems, engineering, or a related major. **Preferred:** - Certifications in data science, deep learning, and ML. - Exposure to Generative AI and NLP. - Experience on multi-cloud. - 2 or more years skilled at data visualization (PowerPoint, Tableau, D3, ggplot, matlib, seaborn, etc.). - 2 or more years with modern data engineering with APIs. - 2 or more years experience in Cyber Security domain knowledge. - M.S. or PhD in a Science, Technology, Engineering, Mathematics (STEM) or Economics related field of study. - 2 or more years applying agile SDLC. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.,

The Balance Sheet Management Senior Lead Analyst role within the Balance Sheet Integrated Solution group focuses on addressing intricate Treasury challenges using both traditional methods and advanced techniques, including AI/ML. Your responsibilities will involve collaborating with various teams such as Capital, IRRBB, FTP, Non-Market Risk, and Methodology to deliver strategic outcomes. A solid background in mathematics, quantitative finance, programming, and data science is crucial for this role. Effective communication, leadership, and collaboration skills are essential for influencing diverse stakeholders and guiding junior team members. Your primary responsibilities will include identifying, designing, and implementing solutions ranging from traditional analytical approaches to AI/ML to tackle the most critical challenges faced by Treasury. You will be expected to build and maintain Python libraries, adhere to SDLC best practices, and share code on GitHub with detailed documentation. Additionally, you will oversee the model pipeline and ensure compliance with Model Risk Management governance. Extracting, cleansing, and preparing large datasets using SQL and other data manipulation techniques for advanced analytics pipelines will also be part of your role. You will be responsible for developing impactful Tableau dashboards that simplify complex data insights into actionable recommendations. Furthermore, you will drive platform and model strategy, project prioritization, and forward-looking analytics aligned with organizational objectives. Collaboration with various teams will be necessary to deliver timely, data-driven solutions that enhance business decision-making. To qualify for this position, you should have over 10 years of relevant finance/banking experience, demonstrating expertise in Balance Sheet Management, Capital, IRRBB, Transfer Pricing, or similar areas. A strong foundation in mathematics, quantitative finance, programming, and data science is required, along with experience in creating and deploying advanced AI/ML solutions. Proficiency in Python, SQL, and data engineering practices is essential, as well as familiarity with analysis tools like Tableau and Excel and version control systems like GitHub. You should possess the ability to architect, maintain, and scale analytics pipelines within SDLC frameworks. Knowledge of capital markets activities, liquidity planning, and balance sheet analytics is beneficial. Exceptional communication, leadership, and collaboration skills are necessary to engage with technical and non-technical stakeholders effectively. A Bachelor's degree in a relevant field is required, with a preference for a Master's degree in Finance, Computer Science, Data Science, Mathematics, or similar. In addition to the core responsibilities and qualifications mentioned, proficiency in coding, Python, Tableau, and the ability to understand and design Quantitative Methods are desirable skills for this role.,

The ideal candidate for this position should possess expertise in Computer Science and Programming, along with experience in Curriculum Development and instructional design. Knowledge in areas such as Data Science, Cybersecurity, AI&ML is highly valued. Strong skills in research, publication, and student advising are essential for this role. A Doctorate (PhD) in Computer Science and Engineering is preferable, however, M.Tech/M.E freshers are also encouraged to apply. In addition to technical qualifications, the candidate should have excellent written and verbal communication skills and a commitment to teaching and scholarly excellence. Experience in obtaining research funding would be considered a plus.,

The role of Associate Professor in Computer Science Engineering is an on-site, full-time position located in Mohali district. As an Associate Professor, you will be responsible for teaching both undergraduate and graduate courses in Computer Science. This includes developing and revising curriculum, conducting research in your area of expertise, publishing research papers, and mentoring students. Additionally, you will supervise student projects and contribute to departmental activities. To excel in this role, you should possess a strong foundational knowledge in Computer Science and Programming. In-depth expertise in Data Science and Cybersecurity is essential, along with experience in Curriculum Development for undergraduate and graduate programs. Excellent teaching and communication skills are required, along with a proven record of research and publication. A Ph.D. in Computer Science or a related field is highly preferred, and prior teaching experience at the university level is considered an advantage.,

DATA SCIENTISTS FOR OUR MNC CLIENT 100% REMOTE APPLICABLE POSITIONS: 9 ONLY IMMEDIATE JOINERS BGV IS MUST MUST 7 to 12 years -HAVING TITLE AS data scientist/senior data scientist job title - Key skills: python/power bi/AI/ML/client handling Required Candidate profile MUST : 7 to 12 years -HAVING TITLE AS data scientist/senior data scientist job title - Key skills: python/power bi/AI/ML/client handling - remote ONLY IMMEDIATE JOINERS YOHI@AXYCUBE.IN /9108687980

About MOTM Technologies MOTM Technologies is a fast-growing growth consulting and technology company helping over 150+ businessesespecially in engineering, manufacturing, and B2B sectorsscale through marketing, automation, and business transformation. We are currently building a AI based saas applications which solves the real world problems which has the ability to significantly increase the business efficiency. Role Summary Were looking for a visionary yet hands-on CTO to lead the end-to-end product development of our AI-driven SaaS platform. This includes architecting the system, integrating external APIs and automation tools, overseeing engineering execution, and helping take the product from MVP to scale. This is a strategic leadership position for someone who wants to build from scratch , drive a lean product team, and own long-term product outcomes. Compensation includes a profit-sharing model from Day 1 and access to future ESOPs as we raise funding and expand. Key Responsibilities Define the technical architecture and oversee the complete build of the business automation suite Integrate tools like OpenAI, Make.com, Apify, Airtable, Glide, Twilio , etc., into a seamless user flow Design and deploy AI agents for tasks like lead generation, CRM, content creation, outreach, and more Manage internal tech team (developers, AI engineers, testers) and ensure MVP speed + quality Collaborate directly with the founder to define product roadmap, module structure, and execution plan Handle product deployment, performance, uptime, and data privacy in a secure cloud environment (AWS Lightsail preferred) Must-Have Skills 3–6 years of experience in full-stack or backend development , ideally in SaaS, automation, or AI products Proven experience in API integrations , especially across CRM, scraping, messaging, or analytics tools Strong understanding of AI prompt design , LLM integrations, and intelligent automation Experience with no-code/low-code platforms like Make.com, Airtable, Glide, etc. Comfort with cloud environments like AWS, version control (Git), and building scalable modular architecture Entrepreneurial and product-first mindset, with an obsession for solving real-world business problems What MOTM Offers Strategic Leadership Role in a company with a proven track record in business growth and consulting Profit-sharing from Day 1 based on product revenue and impact Access to ESOP pool once scale and funding milestones are met A lean, execution-driven work culture where you drive product ownership Work on a real-world product with active paying customers and validated market demand

Role & responsibilitie Roles and Responsibilities: Deep understanding of statistical and machine learning models. Proven experience building models and placing models into production. Supporting implementation of advanced analytics in industry Resolving issues at Data Platform. Strong experience on VNF, Kr8 Platforms. Experience with big data: extraction, processing, filtering, and presenting large data quantities (100K to Millions of rows) via Cloud technologies, SQL, and data pipelines. Experience in optimization problems, and solving those problems at scale Presenting information using data visualization techniques Identify valuable data sources and automate collection processes Analyse large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modelling Propose solutions and strategies to business challenges Collaborate across different business unit and product development teams s Preferred candidate profile Strong Skills of machine-learning and AI Strong Knowledge of Python, PySpark, SQL, Flask; familiarity with data frameworks such as Hadoop, databases (PostgreSQL, MongoDB, YugaByte), understanding of cloud-native deployments and infrastructure Strong math / analytical skills (e.g. statistics, algebra) Excellent communication and presentation skills MSc/BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or a quantitative field is preferred Experience in data mining Experience in product development

As the Senior Director, Artificial Intelligence (AI) at Quorum Software, you will play a crucial role in establishing and leading the AI Innovation Center. Your primary focus will be on designing, developing, and deploying cutting-edge AI solutions across our software portfolio, with a vision to accelerate our AI strategy by utilizing technologies such as machine learning, generative AI, agentic AI, and advanced analytics to create transformative products and capabilities for the energy sector. Your responsibilities will include leading the AI Innovation Center to drive research and development in AI and ML technologies specific to energy-related software use cases. You will define and execute the company's AI strategy, including identifying suitable platforms, tools, and applied AI models. Collaborating with cross-functional teams, you will develop AI-driven product features, services, and decision-support tools across our software ecosystem. Your role will also involve overseeing the development and deployment of ML models, agentic systems, and generative AI applications to enhance customer experience and drive positive business outcomes. Furthermore, you will be instrumental in building and leading a high-performing AI & Data Science team, fostering a culture of innovation, experimentation, and impact. It will be your responsibility to ensure the responsible and ethical use of AI, complying with industry standards and regulatory requirements, especially those relevant to the energy industry. Staying abreast of the latest advancements in the field, you will evaluate and select AI/ML tools, frameworks, and platforms. Additionally, you will represent the company in industry forums, conferences, and AI research communities to promote innovation and thought leadership. To excel in this role, you should hold a Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related technical field, with a preference for a Master's degree. With over 10 years of experience in AI/ML, including at least 5 years in a leadership capacity, you should have a proven track record of successfully applying AI, machine learning, and generative/agentic AI in commercial software products. Strong communication skills, stakeholder management abilities, and experience presenting to executive leadership are essential for this position. Moreover, familiarity with energy industry data types, standards, and use cases, as well as knowledge of MLOps, data governance, and responsible AI practices, would be advantageous. While visa sponsorship is not provided for this position, applicants requiring reasonable accommodations during the application or interview process should contact the Human Resources Department.,