5495 Data Science Jobs - Page 21

You will be responsible for understanding complex and critical business problems and formulating an integrated analytical approach to mine data sources. Your role will involve employing statistical methods and machine learning algorithms to contribute to solving unmet medical needs, discovering actionable insights, and automating processes to reduce effort and time for repeated use. You will manage the implementation and adherence to the overall data lifecycle of enterprise data, from data acquisition or creation through enrichment, consumption, retention, and retirement. This will enable the availability of useful, clean, and accurate data throughout its lifecycle. Your high agility will allow you to work across various business domains effectively. Additionally, you will integrate business presentations, smart visualization tools, and contextual storytelling to translate findings back to business users with a clear impact. You will independently manage budgets, ensure appropriate staffing, and coordinate projects within the area. If you are managing a team, you will empower the team, provide guidance and coaching, with initial guidance from more senior leaders supervised. This role may be your first people manager experience. In this role, your major accountabilities will include project managing your tasks, collaborating with allied team members, and proactively planning and managing change. You will work with internal stakeholders, external partners, and cross-functional teams to solve critical business problems. Understanding life science data sources, researching and co-developing new algorithms, methods, statistical models, and business models will also be part of your responsibilities. You will quickly learn to use tools, data sources, and analytical techniques needed to answer a wide range of critical business questions. Supporting the evaluation of technology needs, proposing research articles for application to business problems, developing automation for data management, and articulating solutions to business users will be key aspects of your role. Furthermore, you will work with senior data science team members to present analytical content concisely and effectively, provide understandable and actionable business intelligence for key stakeholders, and may lead a small team or provide in-depth technical expertise in a scientific/technical field, depending on your career path. Reporting of technical complaints, adverse events, and special case scenarios related to Novartis products within 24 hours of receipt, as well as distribution of marketing samples, may also be required. Your key performance indicators will include the achievement and governance endorsement of data management and advanced analytics program tollgates, as well as successful implementation based on KPIs and program objectives. Minimum Requirements: - In-depth mastery of the external environment and trends. - 15+ years of relevant experience in Data Science. - 2+ years of relevant experience in Data Science. - Track record delivering global solutions at scale. - Strong professional network across Academia. Required Skills: - Apache Hadoop. - Applied Mathematics. - Big Data. - Curiosity. - Data Governance. - Data Literacy. - Data Management. - Data Quality. - Data Science. - Data Strategy. - Data Visualization. - Deep Learning. - Machine Learning (ML). - Machine Learning Algorithms. - Master Data Management. - Proteomics. - Python (Programming Language). - R (Programming Language). - Statistical Modeling. Language: - English. Novartis is dedicated to helping people with diseases and their families by fostering a community of smart, passionate individuals like yourself. By collaborating, supporting, and inspiring each other, we aim to achieve breakthroughs that positively impact patients" lives. If you are ready to contribute to creating a brighter future, you can learn more about our values and culture at [Novartis Careers](https://www.novartis.com/about/strategy/people-and-culture).,

As a global media company producing high-quality content that reaches millions of users worldwide, Cond Nast is seeking a talented Senior Director of Data Science to drive data-driven decision making and innovation across our portfolio of prestigious brands. In this pivotal role based in Chennai, TN, you will lead a team of data scientists to develop ML and AI-driven products that enhance user experiences, content personalization, and drive business growth. Reporting directly to the executive leadership, you will define and execute the data science roadmap aligned with Cond Nast's business objectives. You will foster a culture of data-driven decision-making, effectively communicating complex data insights to technical and non-technical audiences. Your strategic leadership will be instrumental in identifying opportunities for leveraging data science to drive innovation and competitive advantage across the company. Collaboration is key at Cond Nast, and you will work closely with international colleagues and stakeholders in our US, UK, and India headquarters. You will lead, mentor, and grow a high-performing team of data scientists, promoting collaboration, innovation, and professional development. By collaborating with cross-functional teams such as Product, Analytics, Engineering, Design, and UX, you will identify data science opportunities and deliver impactful solutions. In this role, you will enable the team to develop and deploy predictive models, machine learning algorithms, and AI-driven solutions to optimize content recommendations, personalization, and revenue growth. Leveraging natural language processing (NLP) and Large Language Models (LLMs), you will analyze multimodal content to power recommendations and smarter editorial decisions. Your expertise in ML/AI and statistical modeling will be crucial in improving content performance, audience engagement, and subscription growth. Furthermore, you will champion data governance and innovation, collaborating with machine learning engineering, data engineering, and IT teams to ensure the integrity, accuracy, and security of data. By staying abreast of data science trends and technologies, you will drive the development of new data products and features. Your qualifications include an advanced degree in Data Science, Computer Science, Statistics, or related disciplines, along with extensive experience in leading large-scale data science projects and teams. If you are excited about the opportunity to drive data-driven decision making and innovation in a global media company, we encourage you to apply below. We look forward to reviewing your application and considering you for this impactful role at Cond Nast.,

The role of a Data Science Consultant in the S&C Global Network - AI - Hi Tech team includes driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. The ideal candidate should possess hands-on experience in data science within industries such as semiconductors, enterprise technology, consumer technology, and medical technology. As a Data Scientist in this role, you will be responsible for developing AI models and applying GenAI techniques in areas such as marketing & consumer analytics, predictive asset maintenance, production optimization, supply chain, sales & channel partner program analytics, and connected products. You will collaborate with cross-functional teams to gather requirements, design solutions, and deploy models into production environments, utilizing your expertise in PLM/ERP/CRM/Contact Center systems to integrate data sources and ensure seamless operation of AI solutions. Key responsibilities will include developing and implementing AI models and GenAI applications, designing machine learning models using Python with proficiency in NLP and Computer Vision techniques, and architecting functional solutions to enhance the performance and scalability of AI systems. It is essential to stay updated on emerging technologies and industry trends to contribute to continuous improvement initiatives within the organization. The successful candidate should have relevant experience in the required domain, strong analytical, problem-solving, and communication skills, along with the ability to work in a fast-paced, dynamic environment. A proven track record of developing AI models in various areas such as channel analytics, marketing & customer experience, supply chain analytics, predictive maintenance, production optimization, and connected products is highly desirable. Proficiency in Python programming, experience in NLP and Computer Vision, exposure to PLM/ERP/CRM systems, and familiarity with cloud platforms such as Azure/GCP and AWS are key technical skills required for this role. This position offers the opportunity to work on innovative projects, career growth, and leadership exposure within Accenture's Hi-Tech practice.,

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 a 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 a thorough understanding and experience on the following in terms of AI and AI Security: - Threat models. - Security analysis. - Design and integration into AI and ML infra. - Some familiarity with an offensive perspective on AI attack model perspective, model extraction, data poison, etc. QUALIFICATIONS: Required Skills: - 5+ years of experience as an Architect with skills in 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 of experience presenting and delivering results to business partners and leadership. - 2 or more years of 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 post-graduate 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 in 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 of 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.,

As a Senior AI Architect at Dailoqa, you will play a pivotal role in shaping, designing, and delivering agentic AI solutions that drive real-world business value. You will collaborate with business and technology stakeholders, lead cross-functional teams, and ensure our AI architectures are robust, scalable, and aligned with our vision of combined intelligence and financial inclusion. Agentic AI Solution Design: Collaborate with stakeholders to identify high-impact agentic AI use cases, define success metrics, and determine data requirements tailored to Financial Services clients. Architect and oversee the implementation of end-to-end agentic AI solutions aligned with Dailoqa's strategic objectives and client needs. Leadership & Cross-Functional Collaboration: Lead and mentor cross-functional teams in the development and deployment of scalable agentic AI applications and infrastructures. Work closely with business stakeholders to translate complex requirements into actionable AI architecture and technical roadmaps. Technology Evaluation & Governance: Evaluate, recommend, and integrate advanced AI/ML platforms, frameworks, and technologies that enable agentic AI capabilities. Develop and enforce AI governance frameworks, best practices, and ethical standards, ensuring compliance with industry regulations and responsible AI principles. Performance Optimization & Continuous Improvement: Optimize AI models for performance, scalability, and efficiency, leveraging cloud-native and distributed computing resources. Stay ahead of emerging trends in agentic AI, machine learning, and data science, applying new insights to enhance solution quality and business impact. Technical Leadership & Talent Development: Provide technical leadership, mentorship, and code review for junior and peer team members. Participate in the hiring, onboarding, and development of AI talent, fostering a culture of innovation and excellence. Lead sprint planning, technical assessments, and ensure high standards in code quality and solution delivery. Required Qualifications: - 15+ years of Total experience. 8+ years in machine learning, and data science and more recent experience (4-5 yrs) in gen AI models applying AI to practical, comprehensive technology solutions and AI Consultancy. - Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns. - Experience in implementing GenAI, NLP, computer vision, or other AI frameworks/technologies. Tools & Technology: - LLMs and implementing RAG or different prompt strategies. - Azure OpenAI, Off the shelf Platform native AI tools and Models. - Knowledge of ML pipeline orchestration tools. - Experienced in python; ideally working knowledge of various supporting packages. - Experience in REST API development, NoSQL database design, and RDBMS design and optimizations. - Strong experience in Data engineering and aligned Hyperscale Platforms e.g. Databricks, Synapse, Fivetran etc. Education and Others Skills: - Master's or Ph.D. in Computer Science, Data Science, or related field. - Extensive experience with modern AI frameworks, cloud platforms, and big data technologies. - Strong background in designing and implementing AI solutions for enterprise-level applications. - Proven ability to lead and mentor technical teams. - Excellent communication skills with the ability to explain complex AI concepts to both technical and non-technical audiences. - Deep understanding of AI ethics and responsible AI practices. Working at Dailoqa will provide you with an opportunity to be part of a dynamic and innovative team that values collaboration, innovation, and continuous learning. If you are proactive, adaptable, and passionate about leveraging AI to solve real-world challenges in the financial services industry, then this role might be the perfect fit for you.,

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. Job Description: Campus Hires for Data Scientist / Machine Learning Engineer Role Overview: We are seeking a highly talented individual with strong academic credentials in Data Science specialization areas. You should have good exposure to the Data Science life cycle with academic project experience on examining, statistically interpreting, and deriving meaningful insights from large sets of data. In this role, your responsibilities include extracting and processing information to find patterns and trends, using technology to analyze data, and creating a solution using machine-learning algorithms or predictive models for data analysis. You will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and the latest trends and cutting-edge AI model capabilities. Responsibilities: Your technical responsibilities: - Contribute to the design and build of state-of-the-art AI solutions. - Communicate effectively with stakeholders to define and implement AI project goals. - Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. - Conduct research and evaluation of advanced AI techniques. - Ensure compliance with data privacy, security, and ethical considerations in AI applications. - Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs. Requirements: - Bachelor or Master's Degree in Engineering (or equivalent) with specialization in Data Science or AI/ML, Statistics, Economics, or related fields. - Minimum one academic project in Data Science and Machine Learning. - Excellent track record in each semester. - In-depth knowledge of machine learning, deep learning, and generative AI techniques. - Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch. Good to Have Skills: - Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. - Exposure to any of the AI cloud platforms. - Excellent track record of participation in various AI forums (internal or external). - Strong credentials with good coding standards followed in Git repository.,

We are seeking a talented and enthusiastic AI Engineer to be a part of our team. As an AI Engineer, you will be responsible for the design, development, and deployment of AI models and algorithms to address intricate challenges and drive business value. The ideal candidate will possess a solid foundation in machine learning, deep learning, and data science, coupled with exceptional programming abilities. Your main responsibilities will include designing, developing, and implementing AI models and algorithms to solve real-world issues. You will collaborate with diverse teams to comprehend business requirements and transform them into technical solutions. Data analysis and preprocessing will be crucial to ensure high-quality input for AI models. Furthermore, you will be involved in training, testing, and validating AI models to guarantee accuracy and performance, along with deploying these models into production environments and monitoring their performance. Continuous enhancement of AI models by integrating new data and feedback will also be part of your role. It is essential to stay updated with the latest advancements in AI and machine learning technologies. Documenting AI models, processes, and outcomes for knowledge sharing and future reference will be necessary. Additionally, participation in code reviews and providing constructive feedback to peers will be expected. The ideal candidate should have prior experience as an AI Engineer, Machine Learning Engineer, or a similar role. Proficiency in machine learning algorithms, deep learning frameworks, statistical methods, and programming languages like Python, R, or Java is required. Familiarity with LLMs such as GPT-4, Llama-2, NLP, RAG, data preprocessing, feature engineering, and data visualization techniques is essential. Experience with machine learning libraries and frameworks like TensorFlow, Keras, PyTorch, Scikit-learn, vector databases such as Pinecone and ChromaDB, cloud platforms like AWS, Google Cloud, Azure, and version control systems like Git is preferred. Strong problem-solving skills, attention to detail, excellent communication, and collaboration skills are also vital. The ideal candidate should have 2-6 years of experience and a Bachelor's or Master's degree in computer science, artificial intelligence, machine learning, or a related field.,

The Artificial Intelligence Lead is responsible for overseeing the development and implementation of AI strategies and projects. This role requires a combination of technical expertise, leadership skills, and strategic thinking. You will work closely with cross-functional teams to integrate AI solutions into products and services. Key Responsibilities: Lead the AI team in developing and deploying AI models and algorithms. Define the AI strategy in alignment with the company's goals and objectives. Oversee the end-to-end AI project life cycle, from conceptualization to deployment. Collaborate with stakeholders to identify opportunities for AI-driven solutions. Ensure the ethical and responsible use of AI technologies. Stay updated with the latest advancements in AI and incorporate relevant innovations. Provide mentorship and guidance to team members. Manage the AI team's resources, budget, and timelines. Communicate AI project progress and insights to executive leadership. Qualifications: Bachelors or Masters degree in Computer Science, Engineering, or a related field. Proven experience (5+ years) in AI, machine learning, and data science. Team leading experience. Strong understanding of machine learning algorithms, neural networks, and natural language processing. Experience with AI development frameworks and tools (e.g., TensorFlow, PyTorch, Scikit learn). Proficiency in programming languages such as Python, R, or Java. Experience in managing and leading technical teams. Excellent problem-solving skills and ability to work on complex projects. Strong communication and interpersonal skills. Preferred Skills: Experience with big data technologies (e.g., Hadoop, Spark). Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure). Knowledge of AI ethics and regulatory considerations. Prompt with ML, Prompt Engineering, and AI Models. Experience in deploying AI solutions in production environments. Publications or contributions to AI research. Understanding of ISO Standards: Knowledge of relevant ISO standards (e.g., ISO 9001, 27001, and 27701) and their application in the workplace. Location: Mohali/ Noida Equal Employment Opportunity.,

You will be leveraging your technical skills to source and prepare data from a variety of data sources, such as traditional databases, no-SQL, Hadoop, and Cloud. Your role will involve working closely with data analytics staff within our team to understand requirements and collaborate on optimizing solutions while developing new ideas. Additionally, you will be collaborating with the Data Domain Architect lead on all aspects of Data Domain Architecture, including resource management. Furthermore, you will engage with Tech, Product, and CIB data partners to conduct research and implement use cases effectively. To be successful in this role, you should have a minimum of 8+ years of relevant work experience in roles such as software developer, data/ML engineer, data scientist, or business intelligence engineer. A Bachelor's degree in Computer Science/Financial Engineering, MIS, Mathematics, Statistics, or another quantitative subject is required. You should possess strong analytical thinking and problem-solving skills, along with the ability to grasp business requirements and effectively communicate complex information to diverse audiences. Collaboration across teams and at varying levels using a consultative approach is essential, as well as a general understanding of Agile Methodology. Moreover, you should have knowledge of cloud platforms and hands-on experience with tools like Databricks or Snowflake. Proficiency in traditional databases such as Oracle and SQL Server, as well as strong overall SQL skills and experience with Python/PySpark are necessary. Familiarity with ETL framework and tools, including Alteryx, is expected. A fundamental understanding of Data Architecture, the ability to profile, clean, and extract data from various sources, and experience in developing analytics and insights using tools like Tableau and Alteryx are important. Exposure to data science, AI/ML, and model development will be beneficial in this role.,

Dear Candidate, Exciting Opportunity to Work with SAS, a Global Leader in Analytics! Techfer Global Pvt. Ltd. is currently looking for a Data Science Trainer to join our team in Mumbai. As a Data Science & Analytics Trainer, you will be responsible for providing training and mentoring to professionals in the field of data science, machine learning, and analytics. This is a unique opportunity to collaborate closely with SAS, one of the world's leading analytics companies. We are seeking a candidate with at least a Bachelor's degree in Mathematics, Statistics, Computer Applications, Engineering, or Data Science. A Master's or PhD in any of the above fields would be preferred. The ideal candidate should have a minimum of 10 years of experience in a similar role, with a strong focus on training or teaching Python, R, or SAS. Hands-on knowledge of Machine Learning and Data Science tools is essential, along with experience in Python, R, or SAS. While SAS experience is a plus, it is not mandatory. The candidate should be willing to travel for training assignments. We are looking for professionals who are passionate about analytics and education to join our team. If you meet the above requirements and are excited about this opportunity, we look forward to connecting with you soon. Best regards, Techfer Global Pvt. Ltd.,

As a Data Science professional with 3 to 8 years of experience, you will be responsible for utilizing your expertise in various aspects of Data Science such as Machine Learning, Text Analytics, Regression, Data Classification, and Prediction. Your proficiency in tools like Python, Power BI, SQL, and Tableau will be crucial for analyzing and interpreting data effectively. Additionally, you will work with platforms like H2O and DataRobot to enhance the analytical capabilities. Moreover, your role will involve deploying analytics code using platforms such as Azure, AWS, and on-premises methods. This position offers an opportunity to work on diverse projects and contribute to the development of innovative solutions. If you are passionate about Data Science and eager to apply your skills in a dynamic environment, we welcome you to join our team.,

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Experience in developing digital marketing/digital analytics solutions using Adobe products is essential for this role. You should have experience in Adobe Experience Cloud products and recent experience with Adobe Experience Platform or a similar CDP. Good knowledge of the Data Science workspace and building intelligent Services on AEP is required. You should also have a strong understanding of datasets in Adobe Experience Platform, including loading data into the Platform through data source connectors, APIs, and streaming ingestion connectors. Furthermore, experience in creating all required Adobe XDM (Experience Data Model) in JSON based on the approved data model for all loading data files is necessary. Knowledge on utilizing Adobe Experience Platform (AEP) UI & POSTMAN to automate all customer schema data lake & profile design setups within each sandbox environment is also expected. Additionally, you should have experience in configuration within Adobe Experience Platform for all necessary identities & privacy settings and creating new segments within AEP to meet customer use cases. It is important to be able to test/validate the segments with the required destinations. Managing customer data by using Real-Time Customer Data Platform (RTCDP) and analyzing customer data by using Customer Journey Analytics (CJA) are key responsibilities of this role. You are required to have experience with creating connections, data views, and dashboards in CJA. Hands-on experience in the configuration and integration of Adobe Marketing Cloud modules like Audience Manager, Analytics, Campaign, and Target is also essential. Adobe Experience Cloud tool certifications (Adobe Campaign, Adobe Experience Platform, Adobe Target, Adobe Analytics) are desirable for this position. Proven ability to communicate verbally and in writing in a high-performance, collaborative environment is expected. Experience with data analysis, modeling, and mapping to coordinate closely with Data Architect(s) is also a part of this role. At Capgemini, you can shape your career with a range of career paths and internal opportunities within the Capgemini group. Comprehensive wellness benefits, including health checks, telemedicine, insurance with top-ups, elder care, partner coverage, or new parent support via flexible work, are provided. You will have the opportunity to learn on one of the industry's largest digital learning platforms, with access to 250,000+ courses and numerous certifications. Capgemini is a global business and technology transformation partner, helping organizations accelerate their dual transition to a digital and sustainable world while creating tangible impact for enterprises and society. With over 55 years of heritage, Capgemini is trusted by clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by market-leading capabilities in AI, generative AI, cloud, and data, combined with deep industry expertise and a partner ecosystem.,

We are looking for a passionate and self-motivated AI Intern to join our team at ARK Infosoft. This internship opportunity is perfect for fresh graduates or final-year students who are enthusiastic about applying their knowledge of Artificial Intelligence, Machine Learning, and Data Science to real-world projects. As an AI Intern, you will have the chance to collaborate closely with senior developers and data scientists on a variety of AI-driven applications and innovations. Your responsibilities will include assisting in the design, development, and testing of machine learning models, as well as collecting, cleaning, and preprocessing datasets. Additionally, you will be involved in supporting the implementation of AI models into existing systems or proof-of-concepts, conducting literature reviews, and documenting technical research findings. Collaboration with cross-functional teams on various AI and software projects is also a key aspect of this role, along with staying up-to-date with the latest AI tools, libraries, and research. The ideal candidate should have a basic understanding of AI/ML concepts, algorithms, and applications, along with familiarity with Python and libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch. Strong analytical and problem-solving skills, good communication abilities, and a willingness to learn and take initiative are essential for success in this position. Preferred qualifications that would be nice to have include knowledge of deep learning, NLP, or computer vision, experience with Git, Jupyter Notebooks, or cloud platforms (e.g., Google Colab, AWS), and participation in AI/ML hackathons, Kaggle competitions, or relevant academic projects. Joining our team at ARK Infosoft, you can look forward to a supportive work environment with benefits such as 5-day working week, paid leave, all leave encashment, health insurance, festival celebrations, employee engagement activities, great workspace, and an annual picnic. Our mission at ARK Infosoft is to empower businesses to grow by providing personalized IT solutions through leveraging the latest technologies, prioritizing our customers, and continually seeking innovative ways to improve. We strive to be the most trusted partner in our clients" journey towards digital advancement, dedicated to excellence, integrity, and social responsibility, creating lasting value for our clients, employees, and communities. Our vision is to establish ARK Infosoft as a leading IT company known for delivering creative solutions that help businesses succeed in today's digital world. We aim to be the preferred partner for all IT needs, fostering growth and prosperity in every industry we serve through innovation, collaboration, and sustainability. Our goal is to drive positive global impact, enabling businesses to thrive in the digital age and shaping a brighter tomorrow for all.,

As a Data Scientist at our organization, you will be an integral part of the Flight Safety team, driving safety-related decisions and enhancing operational processes through advanced analytics and machine learning techniques. Your primary focus will be on leveraging time-series and multivariate data to detect anomalies, uncover patterns, and develop predictive models that contribute to flight safety and risk mitigation. Your responsibilities will include performing exploratory data analysis to derive insights from complex datasets, implementing anomaly detection techniques on various data types, and developing machine learning and deep learning models for predictive safety analytics. You will also be tasked with using big data analytics tools and AI/ML frameworks to support data-driven decision-making, designing custom algorithms to meet specific requirements, and writing efficient, maintainable code in Python and MATLAB for data processing and modeling. To excel in this role, you should have a Bachelor's degree in Engineering with a specialization in Data Science or a related field, along with certification in Data Science. A minimum of 6 years of hands-on experience in data science, machine learning, or analytics roles is required, with a proven track record in developing AI/ML models, particularly in anomaly detection and predictive analytics. Key skills that will be essential for success in this position include data analysis, exploratory data analysis, anomaly detection on time-series and multivariate data, machine learning and deep learning techniques (such as ANN, RNN, CNN), big data analytics, AI-driven risk forecasting, strong programming skills in Python and MATLAB, custom algorithm design, and data collection and preprocessing. By joining our team, you will have the opportunity to contribute to cutting-edge data science initiatives in the aviation safety domain, work in a collaborative and innovation-driven environment, and be part of a mission-critical team focused on predictive safety and operational excellence.,

The ideal candidate should have a minimum of 5-10 years of experience in data science with a strong proficiency in Python programming. Additionally, the candidate should have at least 4 years of experience in Machine Learning/Natural Language Processing (NLP), with a minimum of 1.5 years in Large Language Models (LLM) & Generative AI (GenAI) technologies. Proficiency in database management for at least 2 years is required, along with 1+ years of experience in cloud deployment of ML models/Python applications on Azure or AWS. Familiarity with LLMOps is considered a plus. As a part of the role, the candidate will be responsible for leading the development, deployment, and optimization of ML, NLP, and LLM/GenAI solutions. This includes the development and maintenance of Python-based ML pipelines, as well as managing associated databases. The candidate will also be tasked with deploying AI models on Azure/AWS, ensuring performance and scalability. Additionally, the candidate will be expected to stay updated on advancements in ML, NLP, and GenAI technologies and provide mentorship to team members. Implementing LLMOps best practices for efficient model lifecycle management will also be a key responsibility.,

As a visionary Senior Director, Artificial Intelligence (AI) at Quorum Software, you will play a pivotal 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, contributing to the acceleration of our AI strategy. Your responsibilities will include shaping the company's AI vision, leading a cross-functional team of data scientists, ML engineers, and AI product innovators, and collaborating with product, engineering, and customer teams to introduce AI-infused applications to the market. Key Responsibilities: - Establish and Lead the AI Innovation Center to drive R&D in AI and ML technologies for energy-specific software use cases. - Define and execute the company's AI strategy, encompassing tooling, platforms, and applied AI models. - Oversee the development and deployment of ML models, agentic systems, and generative AI applications to enhance customer experience and business outcomes. - Partner closely with various teams to embed AI into product roadmaps and deliver measurable business value. - Guide and cultivate a high-performing AI & Data Science team, fostering a culture of innovation, experimentation, and impact. - Ensure the responsible and ethical use of AI, adhering to industry standards and regulatory requirements, particularly within the energy industry. - Evaluate and select AI/ML tools, frameworks, and platforms while staying abreast of rapid advances in the field. - Represent the company in industry forums, conferences, and AI research communities to drive innovation and thought leadership. Requirements: - Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related technical field. A Master's degree is preferred. - 10+ years of experience in AI/ML, with a minimum of 5 years in a leadership role. - Proven track record of applying AI, machine learning, and generative/agentic AI in commercial software products. - Strong understanding of AI tooling, infrastructure, and cloud-native AI/ML pipelines. - Previous experience in the energy sector or with software tailored for industrial domains. - Demonstrated ability to build and lead multidisciplinary teams and deliver AI-based solutions with tangible business impact. - Excellent communication and stakeholder management skills, including experience presenting to executive leadership. Nice to Have: - Experience with AI agents, autonomous systems, or decision intelligence. - Familiarity with energy industry data types, standards, and use cases such as grid management, asset performance, and forecasting. - Knowledge of MLOps, data governance, and responsible AI practices. Note: Employment eligibility to work with Quorum Software in India is required, as the company will not pursue visa sponsorship for this position. If you require reasonable accommodation during the application and/or interview process, please notify a member of the Human Resources Department.,

We are looking for an experienced and dedicated Senior Manager of Business Intelligence & Data Engineering to lead a team of engineers. In this role, you will oversee various aspects of the Business Intelligence (BI) ecosystem, including designing and maintaining data pipelines, enabling advanced analytics, and providing actionable insights through BI tools and data visualization. Your responsibilities will include leading the design and development of scalable data architectures on AWS, managing Data Lakes, implementing data modeling and productization, collaborating with business stakeholders to create actionable insights, ensuring thorough documentation of data pipelines and systems, promoting knowledge-sharing within the team, and staying updated on industry trends in data engineering and BI. You should have at least 10 years of experience in Data Engineering or a related field, with a strong track record in designing and implementing large-scale distributed data systems. Additionally, you should possess expertise in BI, data visualization, people management, CI/CD tools, cloud-based data warehousing, AWS services, Data Lake architectures, Apache Spark, SQL, enterprise BI platforms, and microservices-based architectures. Strong communication skills, a collaborative mindset, and the ability to deliver insights to technical and executive audiences are essential for this role. Bonus points will be awarded if you have knowledge of data science and machine learning concepts, experience with Infrastructure as Code practices, familiarity with data governance and security in cloud environments, and domain understanding of Apparel, Retail, Manufacturing, Supply Chain, or Logistics. If you are passionate about leading a high-performing team, driving innovation in data engineering and BI, and contributing to the success of a global sports platform like Fanatics Commerce, we welcome you to apply for this exciting opportunity.,

We are looking for a highly skilled and motivated Senior LDI Analyst/Engineer to join our innovative team in India. In this role, you will utilize your advanced expertise in GIS, data science, and programming to extract actionable insights from geospatial data. Your work will drive impactful business outcomes through cutting-edge visualization and analytical tools. Your responsibilities will include: Data Analysis and Management: - Perform advanced spatial data analysis using GIS software (ArcGIS, QGIS) to derive meaningful insights. - Manage, manipulate, and analyze large geospatial datasets to produce high-quality maps and actionable reports. - Ensure data accuracy and integrity through rigorous quality control measures and regular audits. Programming and Automation: - Develop and implement Python scripts for data processing, analysis, and automation, with proficiency in SQL for querying and managing databases. - Apply machine learning and AI techniques, including Generative AI, to enhance data accuracy and predictive capabilities in GIS applications. Visualization and Reporting: - Create compelling visualizations and interactive dashboards using Tableau, PowerBI, Matplotlib, and Seaborn to communicate complex spatial insights effectively. - Utilize advanced Excel for data manipulation and reporting. - Develop and maintain high-quality maps to support stakeholder presentations and decision-making. Process Efficiency and Development: - Design and implement efficient data analysis workflows to optimize processing and analysis tasks. - Translate process efficiency concepts into development strategies, achieving significant time and effort savings. - Continuously evaluate and enhance workflows to improve performance and scalability. Tool and Application Development: - Develop custom GIS tools and applications to address diverse business requirements. - Utilize FME (Feature Manipulation Engine) for advanced data transformation and integration tasks (knowledge preferred). - Explore scalable data storage, processing, and analytics. Collaboration and Support: - Collaborate with cross-functional teams to translate data insights into strategic business solutions. - Provide technical support and training to team members on GIS tools, visualization platforms, and data analysis methodologies. - Contribute to team and company objectives aligned with business goals. Continuous Learning: - Stay updated on the latest advancements in GIS, data science, machine learning, Generative AI, and visualization technologies. Requirements: - Bachelor's or Master's degree in Geography, GIS, Data Science, Computer Science, or a related field. - Minimum of 3+ years of experience in a data analysis role. - Advanced proficiency in ArcGIS and QGIS software. - Strong programming skills in Python and proficiency in SQL. - Proven expertise in data visualization and reporting using Tableau, PowerBI, Matplotlib, Seaborn, and advanced Excel. - Hands-on experience with AWS services for data management and analytics. - Familiarity with machine learning, AI, and Generative AI applications in GIS environments. - Knowledge of FME (Feature Manipulation Engine) is an advantage. - Exceptional analytical, problem-solving, and decision-making skills. - Excellent communication, collaboration, and teamwork abilities. - Ability to work independently, prioritize tasks, and manage multiple projects in a fast-paced environment. Join us at HERE Technologies, a location data and technology platform company, where we empower our customers to achieve better outcomes. If you are inspired by an open world and driven to create positive change, we invite you to be a part of our team in Gurgaon.,

As a Sales Engineer at Quantiphi, you will play a crucial role in the core sales team, responsible for executing the end-to-end sales process in a B2B environment. Your primary focus will be on enhancing the customer experience by utilizing consultative selling practices to identify customer needs and provide appropriate solutions. You will be instrumental in managing communication and relationships with customers, prospects, and partners to maintain high levels of customer satisfaction. In this role, you will prepare and explain products, solutions, or services to a diverse range of audiences, developing sales collaterals such as business and technical presentations, point of views, and solution approaches. You will engage in driving end-to-end pre-sales activities in the Data Science and Applied AI domain, collaborating closely with cross-functional teams to meet customer requirements and develop creative solutions to complex business problems. To excel in this role, you must possess a Masters or Bachelors Degree in Business, Economics, or Engineering. Excellent communication skills, both written and verbal, are mandatory, along with a clear articulation of complex ideas. An understanding of the sales cycle and sales techniques is essential, while experience in B2B sales, customer communication, and relationship management is preferable. Your logical ability to understand client needs and present solutions, along with a data-driven mindset supported by market research, will be key to your success. Attention to detail, sharp acumen in propagating your views effectively, and a willingness to learn and apply emerging trends in business, research, data science, Machine Learning, Artificial Intelligence, and Cloud Technologies are crucial. Additionally, having prior success in selling data science solutions, exposure to international markets, cross-functional collaboration, GCP technical expertise, and experience in AI/ML solutions are considered advantageous. As part of the Quantiphi team, you will have the opportunity to work in a category-defining high-growth startup in the transformational AI, Decision Science, and Big Data Domain. You will contribute to the phenomenal growth journey and help customers take the next big leap in digital transformation. Moreover, you will collaborate with a diverse, lively, and proactive group of techies who are constantly innovating to translate data into tangible business value for clients. Flexible remote working options are available to foster productivity and work-life balance. If you are driven, energetic, and ambitious, and thrive in a dynamic environment, a career with Quantiphi is the right fit for you.,

The ideal candidate thrives in a fast-paced, performance-driven environment and will be responsible for delivering a differentiated product that addresses a business need and represents a viable business opportunity. You will work alongside our team of world-class product managers, engineers, data scientists, marketers, UI/UX designers, and ecomm team to achieve 2 main objectives - drive retention rate and improve revenue from repeat customers through innovative features & personalized user journeys. Own the product roadmap for retention marketing channels including email, SMS, and push notifications, with a focus on driving customer engagement and repeat purchases. Define, prioritize, and execute product initiatives that improve user activation, with specific focus on multi-category purchases within the first 60 days of a user's lifecycle. Collaborate cross-functionally with Retention Marketing, Engineering, Data Science, and Creative teams to launch and iterate on personalized user journeys. Build in-house customer segmentation platform and refine user segmentation strategies to tailor retention tactics based on lifecycle stage, category affinity, and browsing history. Drive personalization across retention marketing channels: content, frequency, & channel personalization. Work closely with Data-Science team to build product recommendation models to drive cross-category purchases. Partner with analytics to establish KPIs and build dashboards for performance monitoring, cohort behavior, and funnel drop-off diagnostics. Conduct A/B tests to validate hypotheses around message timing, channel mix, and content personalization. Work closely with the Martech and CRM Engineering teams to identify tooling gaps, streamline campaign execution, and improve targeting capabilities. Advocate for the customer by understanding user behavior across the post-purchase journey and identifying friction points that hinder re-engagement. Stay current on best practices and emerging tools in the retention marketing and eCommerce space to inform product strategy and experimentation roadmap. Manage risks in execution and scrappily unblock team to reach goals. Requirements: - 5 years of product management experience, ideally in eCommerce, consumer tech, or a performance marketing-focused environment. - Deep empathy for users and a customer-first mindset, with the ability to translate user behavior and insights into product requirements. - Comfortable working in fast-paced, multi-time-zone global iterative environments with cross-functional teams (engineering, design, marketing, analytics). - Strong analytical skills with experience using data tools like SQL, Looker, or Mixpanel, or Amplitude to define metrics, derive insights, and drive decisions. - A strong sense of ownership, accountability, understanding of metrics, and drive to move metrics that matter (activation rate, repeat rate, LTV, etc.). - Proven track record of owning and shipping successful features or initiatives in Growth / Retention, CRM, or lifecycle marketing (email/SMS/push). - Preferred: Familiarity with modern marketing automation tools (e.g., Clevertap, Moengage, Klaviyo, Braze, Iterable, etc) and CRM infrastructure. - Excellent written and verbal communication skills, with the ability to align stakeholders and clearly articulate product decisions. - Bonus: Experience working on segmentation models, predictive triggers, or using personalization/ML to power retention initiatives.,

Role & responsibilities Job Description We are seeking a highly skilled Lead 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 modelling. 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. 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 modelling 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 modelling approaches and tools to improve accuracy and efficiency of pricing solutions. Qualifications Experience: 7+ Years Bachelors or master’s degree in data science, Statistics Mathematics Economics, or a related field. Advanced degrees preferred. 7+ years of hands-on experience in data science, with a focus on pricing optimization and elasticity modelling. Expertise in Bayesian modelling and machine learning techniques. Proven experience working with AWS SageMaker for model development, deployment, and monitoring. Familiarity with AWS Certified Data Analytics – Specialty certification is a plus. Strong programming skills in Python (preferred) or R. Experience with cloud platforms (AWS preferred), including SageMaker. Proficiency in statistical analysis tools and libraries (e.g., NumPy, Pandas, PyMC3, or similar) Excellent problem-solving and analytical thinking skills. Ability to work in a fast-paced environment and manage multiple projects. Strong communication skills with the ability to explain complex concepts to non-technical audiences. Preferred Qualifications: Experience with A/B testing, econometrics, or other statistical experimentation methods. Familiarity with other cloud computing platforms (e.g., Azure, GCP). Experience working in cross-functional teams and client-facing roles. Additional Information Opportunity to work with cutting-edge technology in a dynamic environment. Exposure to a diverse range of industries and projects. Collaborative and inclusive work culture with opportunities for growth and professional development.

Design and automate ETL pipelines, dashboards, and reporting workflows using SQL, Python, Power BI, and AI tools. Define KPIs, ensure data accuracy, collaborate across teams, and mentor analysts on scalable, AI-driven analytics practices.

Data Science Internship - Bengaluru, Karnataka?Hybrid work Responsibilities: Bachelor??s Degree in a Quantitative discipline . Demonstrable project experience in Data Science/Analytics (Github links preferable) Strong ability to write robust code in Python . Familiarity with machine learning frameworks (like Tensorflow or PyTorch) and libraries (like scikit-learn, StatsModels) . Proficient in evaluation metrics (MAPE, F1, RMSE, Confusion Matrix) Strong problem-solving skills Excellent verbal and written communication skills You take complete ownership of your work and are self-driven. Benefits: Competitive compensation package. Mentorship from experienced engineers. Opportunity to work on challenging projects. Professional growth and skill development. Inclusive work environment. Health and wellness benefits. Flexible work arrangements.

Name of the position: Data Scientist Location: Coimbatore No. of resources needed : 01 Mode: Fulltime Years of experience: 4+ Years Overview We are seeking a highly skilled and motivated Data Scientist to join our growing AI and Data team. In this role, you will design, develop, and deploy advanced AI and machine learning models using modern frameworks and cloud platforms. You will work closely with cross-functional teams to integrate AI-driven solutions into core business processes and stay abreast of the latest trends in generative AI, LLMs, and Agentic AI. Key Responsibilities Design, develop, and deploy AI/ML models using technologies such as GenAI, FAST API, and AWS/GCP services (e.g., Lambda, SageMaker, Microsoft AI Studio). Implement model versioning, monitoring, and performance tracking to maintain data accuracy and reliability. Collaborate with engineers, data scientists, and domain experts to integrate AI solutions into business operations. Build and maintain high-quality, secure, and scalable data pipelines. Continuously review and apply the latest advancements in Agentic AI, LLMs, and AI research to improve model capabilities. Optimize machine learning workflows for cloud environments (AWS, GCP, or Azure). Contribute to AI architecture planning and best practices. Required Skills : Minimum 4+ years of experience in data science and AI/ML. Strong programming skills in Python. Hands-on experience with cloud platforms (AWS, GCP, or Azure). Proficiency in machine learning algorithms, model training, and deployment. Experience with model versioning and monitoring tools (e.g., MLflow, Weights & Biases). Strong problem-solving and analytical capabilities. Experience with REST APIs and ML model integration. Domain experience in medicine or insurance. Familiarity with Large Language Models (LLMs) and Agentic AI systems. Exposure to backend technologies and microservice development. Advanced degree (Master s preferred) in Data Science, Artificial Intelligence, Machine Learning, Computer Science, or related field.

Job Title Data Engineer II Job Description As a Data Engineer II, you will be responsible for designing, implementing, and maintaining data infrastructure that supports data science activities, including machine learning (ML) projects. You will work closely with data scientists, other data engineers, and cloud infrastructure teams in both Bengaluru and the US to ensure the scalability, reliability, and operational excellence of AI/ML systems. Primary responsibilities: 1. Apply data science practices for data quality, feature engineering, and exploratory modeling 2. Work with cross-functional teams to assess data science use cases & solutions 3. Collaborate with stakeholders to ensure alignment of data solutions with business goals 4. Designing and building new tables to support evolving data needs. 5. Stay current with the latest trends and tools in Data Science and cloud-native technologies. Mandatory Skills: 1. Master s in computer science, Data Engineering, or a related field with 3+ years of experience in Engineering or cloud-based systems for data science applications 2. Strong hands-on experience with Google Cloud Platform (GCP) and Amazon Web Services (AWS). 3. Strong programming skills in Python and cloud SDKs. 4. Proficiency in DevOps tools: Docker, Kubernetes, Terraform, Airflow, Jenkins, or similar. 5. Experience with Machine Learning lifecycle platforms (e.g., MLflow, Kubeflow, VertexAI, SageMaker). 6. Experience with CI/CD pipelines tailored to Data Science workflows & understanding monitoring tools. 7. Experience with large-scale multimedia datasets, including texts, images, and videos 8. Solid knowledge of version control, testing, and security practices in deployments. 9. Strong interpersonal and communication skills, and adept at working with multiple stakeholders Good to Have: Experience in the Media domain. Familiarity with LLM deployment strategies and vector databases like Pinecone or Milvus. Experience with feature store solutions such as Feast or Vertex/SageMaker Feature Store What You Will Learn in This Job: Building scalable and secure Machine Learning infrastructure for production use. Integration of GenAI systems with Data Science solutions Designation: Data Engineer II Working Hours: 1 PM 10 PM IST Work Location: Ecoworld, Bengaluru It is the policy of Dotdash Meredith to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, the Company will provide reasonable accommodations for qualified individuals with disabilities. #INDIA#