4299 Data Science Jobs - Page 18

Role Overview: We are looking for a skilled Data Scientist with expertise in data analytics, machine learning, and AI to join our team. The ideal candidate will have a strong command of data tools, programming, and knowledge of LLMs and Generative AI, contributing to the growth and automation of our business processes. Key Responsibilities: Data Analysis & Visualization: Develop and manage d ata pipelines, ensuring data accuracy and integrity. Design and implement insightful dashboards using Power BI to help stakeholders make data-driven decisions. Extract and analyze complex data sets using SQL to generate actionable insights 2 Machine Learning & AI Models: Build and deploy machine learning models to optimize key business functions like discount management, lead qualification, and process automation. Apply Natural Language Processing (NLP) techniques for text extraction, analysis, and classification from customer documents. Implement and fine-tune Generative AI models and large language models (LLMs) for various business applications, including prompt engineering for automation tasks. 3 Automation & Innovation: Use AI to streamline document verification, data extraction, and customer interaction processes. Innovate and automate manual processes, creating AI-driven solutions for internal teams and customer-facing systems. Stay abreast of the latest advancements in machine learning, NLP, and generative AI, applying them to real-world business challenges. Qualifications: Bachelor's or Masters degree in Computer Science, Data Science, Statistics, or related field. 4-7 years of experience as a Data Scientist, with proficiency in Python, SQL, Power BI, and Excel. Expertise in building machine learning models and utilizing NLP techniques for text processing and automation. Experience in working with large language models (LLMs) and generative AI to create efficient and scalable solutions. Strong problem-solving skills, with the ability to work independently and in teams. Excellent communication skills, with the ability to present complex data in a simple, actionable way to non-technical stakeholders.

Role & responsibilities Exp:- 6 to 10Years Location: Mumbai/Bangalore/Gurugram 6+ years of experience in Data Science , Machine Learning , or related fields with a focus on Generative AI models (LLMs) . Expert proficiency in Python programming and experience with machine learning frameworks (e.g., TensorFlow , PyTorch ). Hands-on experience with cloud platforms (AWS, GCP, Azure), including deployment and solution building . Ability to work with Docker , Kubernetes , and API Development to deploy generative AI models. Strong analytical, problem-solving , and critical thinking skills. Expertise in ethical AI practices and understanding of the biases and regulations surrounding Generative AI . Excellent verbal and written communication skills, with the ability to clearly convey complex concepts to diverse audiences.

Mid-level MMM candidate with 6-8 years overall experience - 6-8 years of experience in Data Science with at least 4 years hands-on experience in Marketing Mix Modelling (having brand equity modelling experience would be beneficial) Experienced in end-to-end MMM solution development - Gathering requirements, Data Processing, EDA, Modelling (both Short Term & Long Term), Optimization etc. Good knowledge of Marketing domain, ATL/BTL marketing and clear understanding of concepts like adstock/carryover, saturation etc. Deep understanding of various algorithms applicable in MMM (additive and multiplicative models, Bayesian Regression etc.) Familiar with open source MMM packages like PyMC, Robyn, Meridian etc. Well versed with optimization techniques and prior experience of solving media budget optimization problems in Python/R Strong coding skills in Python is a must. Ability to develop production level codes with best coding practices. Experience with Git. Must have good stakeholder management skills and independently drive day to day engagements

Share resume to : sowmya.v@acesoftlabs.com Position : Data Scientist Location : Hyderabad /Ahmedabad We are seeking a Data Scientist to develop and implement advanced predictive models and optimization solutions. The ideal candidate will have expertise in predictive modeling, integer programming, Python development, and cloud-based data processing. This role will involve working with large datasets, solving complex and managing cloud infrastructure for scalable solutions. Key Responsibilities: Develop and implement models using statistical methods (e.g., Bayesian models). Solve optimization problems such as bin packing, TSP, and clustering using integer programming. Develop Python-based solutions using Git/Poetry for code and library management. Work with data processing libraries such as Pandas, Polars, and others. Deploy and manage data pipelines on Databricks and Azure Blob Storage. Monitor and troubleshoot pipelines, logs, and cloud resources. Implement DevOps best practices (nice-to-have) for automation and CI/CD workflows. Utilize Power Apps/Power Automate for workflow automation and business process improvement. Ensure cloud cost optimization and performance tuning for scalable architectures. Required Skills & Qualifications: Strong experience in predictive modeling and statistical techniques (Bayesian modeling preferred). Hands-on experience with integer programming and clustering methods. Proficiency in Python, including experience with Git/Poetry for code and dependency management. Expertise in data processing libraries such as Pandas, Polars, or equivalent. Familiarity with Azure cloud services, Databricks, and Azure Blob Storage. Ability to read and analyze logs for debugging and performance monitoring. Experience with cloud management and optimizing resources. Knowledge of monitoring pipelines and troubleshooting issues. Strong problem-solving skills and ability to work with large-scale datasets. Preferred Qualifications: Exposure to DevOps practices, including CI/CD pipelines and automation. Familiarity with Power Apps/Power Automate for process automation. Strong background in cloud cost management and performance tuning

About the job : We are looking for a highly skilled Senior AI/ML Engineer with 5+ years of experience to join our team. The ideal candidate should have extensive expertise in machine learning, deep learning, and AI model development, along with a strong background in Python, NLP, computer vision, and cloud-based AI solutions. Key Responsibilities : - Design, develop, and deploy AI/ML models for real-world applications. - Work with NLP, deep learning, and traditional ML algorithms to solve complex business problems. - Develop end-to-end ML pipelines, including data preprocessing, feature engineering, model training, and deployment. - Optimize model performance using hyperparameter tuning and model evaluation techniques. - Implement AI-driven solutions using TensorFlow, PyTorch, Scikit-learn, OpenAI APIs, Hugging Face, and similar frameworks. - Work with structured and unstructured data, performing data wrangling, transformation, and feature extraction. - Deploy models in cloud environments (AWS, Azure, or GCP) using SageMaker, Vertex AI, or Azure ML. - Collaborate with cross-functional teams to integrate AI models into production systems. - Ensure scalability, performance, and efficiency of AI/ML solutions. - Stay updated with emerging AI trends and technologies to drive innovation. Required Skills : - Strong experience in machine learning, deep learning, NLP, and AI model development. - Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, and OpenAI GPT models. - Expertise in NLP techniques (Word2Vec, BERT, transformers, LLMs, text classification). - Hands-on experience with computer vision (CNNs, OpenCV, YOLO, custom object detection models). - Solid understanding of ML model deployment and MLOps (Docker, Kubernetes, CI/CD for ML models). - Experience in working with cloud platforms (AWS, Azure, GCP) for AI/ML model deployment. - Strong knowledge of SQL, NoSQL databases, and big data processing tools (PySpark, Databricks, Hadoop, Kafka, etc. -Familiarity with API development using Django, Flask, or FastAPI for AI solutions. - Strong problem-solving, analytical, and communication skills. Preferred Skills : - Experience with AI-powered chatbots and OpenAI API integration. - Exposure to LLMs (GPT, LLaMA, Falcon, etc.) for real-world applications. - Hands-on experience in generative AI models.

An R Shiny web developerbuilds interactive data visualization and analysis tools using the R programming language and the Shiny framework.They design, develop, and deploy dashboards and applications that allow users to explore and manipulate data dynamically.This role often involves data manipulation, UI/UX design, and ensuring the application runs efficiently. Here's a more detailed breakdown of an R Shiny web developer's responsibilities: Responsibilities: Building and Maintaining Shiny Applications: Designing, developing, and maintaining interactive dashboards and applications using R and Shiny. Implementing user interfaces (UI) and server-side logic. Ensuring applications are visually appealing and user-friendly. Updating existing applications based on changes in functionality or requirements. Debugging and testing applications to ensure they function correctly. Data Handling and Manipulation: Analyzing datasets, both structured and unstructured, to identify relationships and prepare data for loading into databases. Creating and managing data pipelines and ETL (Extract, Transform, Load) processes. Data Visualization and Reporting: Developing visualizations, reports, and dashboards using R Shiny. Creating data pipelines that integrate various data sources to create comprehensive visualizations. Collaboration and Communication: Working closely with other developers, data scientists, and subject matter experts. Communicating technical information clearly and concisely. Proposing solutions to technical challenges and application improvements. Mandatory Competencies Data Science and Machine Learning - Data Science and Machine Learning - R Shiny User Interface - Other User Interfaces - JavaScript Beh - Communication and collaboration UX - UX - Photoshop

The Pre-Sales Consultant role at Wipro Limited involves supporting the sales team in securing deals by creating solutions that align with client requirements. As a Sector/Account specific Presales Architect, you will take ownership of the overall proposal/solution. This includes engaging multiple service lines, curating customized proposal contents, and building trusted partnerships. Throughout the lead to SOW life cycle, you will be responsible for deliverables such as RFP Q&A, Estimation, Proposal document, Oral Presentation, and SOW. In this role, you will need to develop solution content and stories from a Technology Industry perspective for all proposals. This will involve writing creatively in English, building visually appealing slides, and working closely with service lines to create solutions for Software Development, Data Science, Support, Customer Experience, and Digital pursuits. Previous experience or exposure to Digital and Data proposals is preferred. You will also collaborate with SMEs to create specific solutions tailored for each customer, ensuring a presentation of the solution to the client. The Pre-Sales Consultant also handles RFP Management and Bid Management by project managing the bid process, identifying teams/experts for contributions, collaborating with stakeholders, reviewing progress, and ensuring timely submission of responses. Additionally, you will be involved in Commercial Architecting and Estimation, building commercial models for deals, determining deal price and margins in collaboration with BFMs, and coordinating with Service Lines and Delivery teams for commercial estimates. At Wipro, we are on a mission to reinvent our world and are seeking individuals who are inspired by reinvention. Join us in building a modern Wipro as an end-to-end digital transformation partner with bold ambitions. We encourage constant evolution and empowerment in designing individual reinventions. Come be a part of a business powered by purpose and a culture that enables you to realize your ambitions. We welcome applications from individuals with disabilities.,

We are looking for a Senior Machine Learning Engineer to join RCM (Revenue Cycle Management) products managing claims, billing and payment processes for healthcare practices. You will work with the team to develop and deploy machine learning models to automate and optimize RCM processes. This role focuses on developing customized models and innovative solutions which can integrate into enterprise applications, ensuring high reliability, security and scalability by following best practices. About you: You love to own important work and find it difficult to turn down a good challenge. You are excited about the latest developments in ML and keep abreast of the latest methods and technologies. You have experience building and evaluating ML models. You have strong communication skills and can work with colleagues from a variety of technical and non-technical backgrounds. Finally, you have a strong interest in improving healthcare. About the team The athenaCollector product is a vital component of the athenaOne platform, processing billions in client revenue annually. The Data Science team is bringing machine learning to bear against the hardest problem in revenue cycle management in healthcare. We are working with other engineering leaders in athenaCollector product to build machine learning into our Best in KLAS suite of products to drive innovation and increase automation. Also, this team is responsible to deploy state-of-the-art machine learning models using cloud technologies. Job Responsibilities As a member of the athenaCollector Data Science team, you are expected to work on projects within scrum teams of 2-4 people and execute the following: Identify opportunities for different machine learning techniques and evaluate which are best Assist in developing and deploying ML-based production services to our clients Understand and follow conventions and best practices for modeling, coding, architecture, and statistics; and hold other team members accountable for doing so Apply rigorous testing of statistics, models, and code Contribute to the development of internal tools and AI team standards Typical Qualifications: Bachelors or Masters in relevant field: Math, Computer Science, Data Science, Statistics, or related field 4-8 years of professional hands-on experience in developing, evaluating & deploying machine learning models Experience with Python, SQL , Unix Experience with development and implementation of Deep Learning Models with complex neural network architectures is a bonus Experience with training & fine tuning LLMs & GenAI models is a bonus. Familiarity with NLP or computer vision techniques Experience using the AWS ecosystem a bonus, including Kubernetes, Kubeflow or EKS experience Excellent verbal communication and writing skills

Join us as an Assistant Vice President (AVP) Research where you will play a crucial role in making the best investment decisions. Our Research vision revolves around differentiation and integration, where we strive to provide proprietary products, unique market analysis, and actionable investment ideas to sophisticated investors across the globe. We integrate research disciplines, asset classes, and geographies to deliver comprehensive insights. As an AVP Research, your primary responsibility will be to utilize alternative data and data science methods in collaboration with finance domain experts to enhance financial research. You will focus on developing methods and infrastructure to enhance research productivity by creating software for repeatable analysis that can be shared within the team. Additionally, you will work on long-term projects aimed at improving our capabilities, such as developing neural language models on text and innovating bias adjustment methods. To excel in this role, you must possess strong interpersonal skills as data scientists work closely with global team members and analysts. Clear communication of technical concepts to both technical and non-technical audiences through written and oral channels is essential for success. Key responsibilities include collaborating on short research projects for publication, onboarding new data sets, informing analysis designs, applying ML methods strategically, and ideating and executing novel methods for longer-term projects. Desirable skillsets include strong data analysis and ML skills, understanding of data pipelining and automation, expertise in statistics for research design, and experience in large-scale text or geolocation data analysis. This role is based in Nirlon Knowledge Park, Mumbai, and is certified under the PRA & UK Financial Conduct Authority regulations. You will be responsible for producing and delivering research with differentiated market insights and actionable ideas to Barclays Clients. Your accountabilities include analyzing market data, presenting research views to clients, engaging with stakeholders, providing insights to internal clients, and ensuring compliance in research production and delivery. As an Assistant Vice President, you are expected to advise and influence decision-making, lead a team, set objectives, coach employees, and demonstrate leadership behaviours. You will collaborate with other functions, guide team members, consult on complex issues, mitigate risks, and contribute to the governance agenda. Additionally, you will engage in complex data analysis, communicate complex information, and influence stakeholders to achieve desired outcomes. All colleagues are expected to uphold the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, as well as demonstrate the Barclays Mindset of Empower, Challenge, and Drive.,

The Salesforce AI Platform powers AI investments in the Einstein product portfolio across various Salesforce clouds, including Service, Sales, and the recent Einstein GPT capabilities. The team collaborates with external vendors, open-source platforms, and the internal Salesforce Research team to host various LLMs (Large Language Models). They continuously evaluate and measure quality, build an experimentation platform, and enable seamless rollout of LLMs based on customer data and feedback. We are looking for an exceptional Product Manager to lead the development of Sales AI for Salescloud, focusing on building AI capabilities to assist sellers. The ideal candidate is an experienced product manager dedicated to ensuring customer and team success. This role offers a high-profile opportunity for someone looking to advance their career. **Responsibilities:** - Define and drive the product vision, strategy, and roadmap for Sales AI, covering areas such as Experimentation and Improvements, Prompt tuning, Model fine-tuning, Retrieval Augmented Generation (RAG), Keyword & Vector Search, and No-code model builder experiences. - Manage the entire product lifecycle from concept to adoption, including defining requirements, prioritizing features, justifying decisions, and establishing success metrics. - Collaborate with engineering teams to outline, prioritize, and implement feature specifications. - Engage with customers, stakeholders, and partners to provide roadmap updates, gather feedback, and identify challenges and opportunities. - Stay informed about industry trends and competition in Generative AI. - Work with product marketing on positioning, messaging, and go-to-market strategies. - Serve as a domain and product expert for Salesforce in customer interactions, industry events, and community platforms. **Required Skills:** - 8+ years of Product Management experience with technical products/platforms. - Strong background in AI/ML with the ability to communicate effectively with engineers and data scientists. - Excellent written and verbal communication skills, including presenting to executives, participating in the sales process, and managing critical issues. - Experience working in agile/lean environments and managing backlogs. - Proficiency in gathering and translating product requirements into a practical roadmap. - Proven ability to collaborate internally and externally to deliver products or services. - Bachelor's degree or equivalent experience required. **Desired Skills:** - Experience in defining and developing AI platforms to support different user personas throughout the ML lifecycle. - Familiarity with Generative AI and LLM landscape. - Background in ML metrics, evaluations, and benchmarking. - Experience working closely with Data Science and ML Engineering teams.,

We are looking for an Optimization Specialist who will be responsible for developing and deploying advanced analytical solutions using mathematical optimization techniques. In this role, you will be instrumental in shaping the future of manufacturing operations by creating innovative scheduling solutions that optimize complex business processes. As the ideal candidate, you should excel in formulating and solving various optimization problems such as LP, MILP, combinatorial optimization, and scheduling. You should be proficient in applying innovative algorithms to achieve optimal solutions. Your primary responsibilities will include designing, developing, and implementing advanced mathematical optimization models and solvers to address complex business challenges in areas like scheduling, routing, resource allocation, and inventory management. You will also be involved in identifying and modeling optimization problems across different manufacturing businesses and implementing robust optimization algorithms. In addition to this, you will be required to design, develop, and deploy machine learning models to analyze large datasets and generate insights that support data-driven decision-making, specifically related to enhancing the performance of optimization algorithms. You will also need to keep abreast of the latest developments in optimization and computational intelligence and incorporate these advancements into problem-solving strategies. The qualifications we are looking for in a candidate include 1-3 years of experience in Operations Research and Python programming, a Bachelor's degree in Operations Research, Applied Mathematics, Statistics, Computer Science, Data Science, or a related field, experience in building optimization models from scratch, knowledge of constraint programming, and experience with both non-commercial and commercial optimization solvers. Strong statistical analysis skills and effective communication skills are also essential for this role. Join Techtinium, a company passionate about innovative products, where you will be part of a diverse team dedicated to delivering superior software solutions. At Techtinium, your skills will be honed across the entire software development lifecycle in a positive, thought-provoking, and collaborative environment. If you are ready for an exciting professional adventure, explore opportunities with us at https://techtinium.com/. We look forward to welcoming you to our team!,

As the Director of Marketing and Customer Analytics at Tata Digital in Gurugram, you will lead the utilization of data and analytics to enhance marketing strategies, optimize customer segmentation, elevate user experiences, and drive growth across Tata Digital Platforms. Your role will be instrumental in shaping marketing and customer engagement strategies, providing valuable insights to keep the company competitive. Your primary responsibilities will include developing and implementing a comprehensive data and analytics strategy to support marketing and customer engagement efforts. This will involve overseeing the collection, cleansing, and secure storage of customer data to ensure quality. By leveraging data, you will create and refine customer segments for personalized marketing campaigns. You will also analyze marketing campaign performance, offer insights for enhancement, and optimize spending to maximize ROI. Furthermore, you will use data analytics to gain a profound understanding of customer behavior, preferences, and trends to enhance customer experiences. Developing clear and actionable reports, dashboards, and visualizations will be crucial to communicate insights to cross-functional teams and stakeholders effectively. Collaboration with Marketing, Product Development, and IT teams will be essential to drive data-driven initiatives. To qualify for this role, you should hold a Bachelor's degree in Engineering, Data Science, Statistics, or a related field, with a preference for a Master's degree. You should have proven experience in data analytics, customer analytics, or related roles, including at least 2 years in a leadership position. Strong knowledge of data analytics tools and software such as Adobe Analytics, Tableau, R, and Python is required. Proficiency in customer segmentation, A/B testing, and marketing performance metrics is essential. Excellent leadership, team management, communication, and presentation skills are expected. Additionally, strategic thinking, problem-solving abilities, and a deep understanding of e-commerce and digital marketing trends are necessary for success in this role.,

As an Assistant Professor of Computer Science at St. Andrews Institute of Technology & Management in Gurugram, you will play a crucial role in shaping the academic experience of students. Your responsibilities will include teaching computer science courses, developing innovative curriculum, conducting research in cutting-edge areas like data science and cybersecurity, and engaging in programming-related tasks. To excel in this role, you must possess a strong background in Computer Science, along with a proven track record in curriculum development. Proficiency in AI, ML, Data Science, and Cybersecurity is essential, as well as expertise in various programming languages. Your excellent communication and interpersonal skills will enable you to effectively engage with students and colleagues, while your ability to work collaboratively in a team setting will be key to your success. While prior teaching experience is a plus, we welcome individuals who are passionate about sharing their knowledge and expertise in the field of Computer Science. Join us at St. Andrews Institute of Technology & Management and be a part of our dynamic academic community dedicated to fostering innovation and excellence in education.,

As a Data Analyst, you will be responsible for analyzing and interpreting complex data sets to identify trends, patterns, and insights. Your role will involve developing and maintaining automated reports and dashboards using VBA and Python. Collaborating with cross-functional teams to gather data requirements and deliver actionable insights will be a key aspect of your job. You will also be tasked with creating and optimizing data models to enhance data quality and efficiency, as well as supporting the development of data-driven strategies to improve business performance. Presenting findings and recommendations to stakeholders in a clear and compelling manner will be essential to drive decision-making processes. To qualify for this position, you should hold a Bachelor's degree in Data Science, Computer Science, Statistics, or a related field. Proficiency in Advanced Excel and Python for data analysis and automation is required. Strong analytical and problem-solving skills with attention to detail are essential for success in this role. Experience with data visualization tools such as Tableau or Power BI would be advantageous. Excellent communication skills, both written and verbal, are also necessary to effectively convey insights and recommendations. This is a full-time position with a day shift schedule. The work location is in person, where you will have the opportunity to contribute to data-driven initiatives that drive business success.,

At PwC, as a member of the data and analytics team, your primary focus will be on harnessing data to uncover insights and drive strategic decision-making for clients. Through the use of advanced analytics techniques, you will assist clients in optimizing their operations and achieving their business objectives. In this role, you will be responsible for utilizing your expertise in data manipulation, visualization, and statistical modeling to tackle complex business challenges through data analysis. PwC US - Acceleration Center is currently looking for a skilled GenAI Data Scientist to join our team at the Senior Associate level. As a GenAI Data Scientist, you will be instrumental in the development and implementation of machine learning models and algorithms for our GenAI projects. The ideal candidate should possess a strong background in data science, particularly focusing on GenAI technologies, and demonstrate proficiency in statistical analysis, machine learning, data visualization, and application programming. With a minimum of 4 years of hands-on experience, the successful candidate will have the following responsibilities: - Collaborate with cross-functional teams to understand business requirements and identify opportunities for applying GenAI technologies. - Develop and implement machine learning models and algorithms for GenAI projects. - Perform data cleaning, preprocessing, and feature engineering to prepare data for analysis. - Collaborate with data engineers to ensure efficient data processing and integration into machine learning pipelines. - Validate and evaluate model performance using appropriate metrics and techniques. - Develop and deploy production-ready machine learning applications and solutions. - Utilize object-oriented programming skills to build robust and scalable software components. - Implement Kubernetes for container orchestration and deployment. - Design and build chatbots using GenAI technologies. - Communicate findings and insights to stakeholders through data visualizations, reports, and presentations. - Keep abreast of the latest advancements in GenAI technologies and propose innovative solutions to enhance data science processes. Requirements for this role include: - 3-5 years of relevant technical/technology experience, with a specific focus on GenAI projects. - Proficiency in programming languages such as Python, R, or Scala. - Strong familiarity with machine learning libraries and frameworks like TensorFlow, PyTorch, or scikit-learn. - Experience in data preprocessing, feature engineering, and data wrangling techniques. - Solid grasp of statistical analysis, hypothesis testing, and experimental design. - Knowledge of cloud computing platforms such as AWS, Azure, or Google Cloud. - Proficiency in data visualization tools and techniques. - Excellent problem-solving and analytical skills. - Strong communication and collaboration abilities. - Capability to thrive in a fast-paced and dynamic work environment. Preferred qualifications include: - Experience with object-oriented programming languages such as Java, C++, or C#. - Experience in developing and deploying machine learning applications in production environments. - Understanding of data privacy and compliance regulations. - Relevant certifications in data science or GenAI technologies. Nice to have skills: - Experience with Azure AI Search, Azure Doc Intelligence, Azure OpenAI, AWS Textract, AWS Open Search, AWS Bedrock. - Familiarity with LLM-backed agent frameworks like Autogen, Langchain, Semantic Kernel, etc. - Proficiency in chatbot design and development. Professional and educational background: - Any graduate / BE / B.Tech / MCA / M.Sc / M.E / M.Tech / Masters Degree / MBA.,

As a Manager Data Intelligence at our organization, you will play a crucial role in delivering Data Driven Solutions. Collaborating with multi-functional domain experts, you will dive deep into understanding business context and key opportunities to enhance decision-making processes. Your primary responsibilities include managing a team of business analysts, maintaining high-quality standards, and ensuring alignment with business objectives. A strong foundation in data science/analytics, program management, and leadership skills is essential for this role. Your duties will involve leading and mentoring your team to ensure customer success through quality in Development, Project Management, and Solution Delivery. By collaborating with stakeholders, you will formulate data-driven strategies that address business needs and are in line with the company's overall strategy. You will be expected to translate complex data science concepts into actionable insights for non-technical stakeholders. Analyzing large datasets, extracting relevant information, identifying patterns and trends, and presenting actionable insights will be key aspects of your role. Collaboration with other teams to gather and preprocess data from various sources, ensuring accuracy and integrity, is vital for data-driven decision-making. You will also be responsible for presenting reports, findings, and recommendations to executive leadership, driving data quality, governance, and compliance with security standards, and building relationships with CAO/Controllership and IT organizations. To succeed in this role, you should have at least 10 years of industry experience, with a focus on technical roles involving Data Science/Analytics, Machine Learning, or Statistics. Hands-on experience with large-scale data and a proven ability to lead and inspire teams are crucial. Strong problem-solving skills, exceptional interpersonal and communication abilities, proficiency in Python and Python-based ML and Data Science frameworks, and experience with BI Platforms are also required. Creativity, curiosity, and continuous learning are encouraged at our organization, and we support your career growth journey. If you are interested in pursuing this opportunity at Adobe, we welcome you to apply and put your best foot forward by updating your Resume/CV and Workday profile. Take advantage of internal career growth opportunities and prepare for interviews to showcase your skills and experiences effectively. Join us at Adobe, where you will experience an exceptional work environment, surrounded by colleagues dedicated to growth and development. Through our unique Check-In approach, ongoing feedback is valued, and your impact will be recognized. Discover more about our employees" career experiences on the Adobe Life blog and explore the benefits we offer to our team members. Adobe is committed to making our website accessible to all users. If you require accommodations to navigate our website or complete the application process due to a disability or special need, please contact accommodations@adobe.com or call (408) 536-3015.,

The Cloud and AI Infrastructure team is a sales team at the cutting edge, helping customers change their business using Cisco technology in the data centre and on cloud. The team works with customers, partners, and team members to take customer problems and turn them into business advantage. As a dynamic Account Executive - AI Infrastructure, you will lead sales opportunities, discover new possibilities, and collaborate closely with customers and partners to define a strategic vision for their business. Understanding the specific needs of our customers and aligning our sales priorities with those needs is essential. This role demands a profound comprehension of Data Centre technology, including AI-related Infrastructure, and a proven track record in selling data centre infrastructure in a highly competitive environment. Your responsibilities will include developing and executing a business development strategy to drive robust business growth across the organization. Building strong relationships with technology leaders in the industry and your customers will be crucial, as you champion Cisco as a leader in AI Infrastructure. Minimum Qualifications: - 7+ years of technology-related sales or account management experience with a focus on business development and new technology incubation. - Experience in growing revenue for new innovative technology-based solutions. - Proficiency in understanding business challenges associated with deploying data centre infrastructure at scale, including AI Infrastructure. - Demonstrated success in working collaboratively with Sales, Presales, and Marketing teams to develop and launch new data centre infrastructure offerings. Preferred Qualifications: - Bachelor's degree or equivalent experience in Business, Computer Science, Engineering, or related fields; an advanced degree is a plus. - Strong verbal and written communication skills. - Experience collaborating within technology incubate teams to accelerate market share growth. - Sales Experience in deep learning, data science, and AI Infrastructure. - Sales experience with Data Centre relevant technology, such as storage, network, platform, server, security, and cloud. At Cisco, we are focused on integrating AI into our solutions to transform collaboration, security, networking, observability, and more. We are dedicated to innovating ethical AI products and infrastructure that empower our customers to anticipate cyberattacks, prevent network outages, and enhance team productivity. Join us at Cisco to work with leading AI experts and contribute to our mission of creating an inclusive future for all. We celebrate diversity and aim to unlock the potential of our employees by fostering a culture of learning and development at every stage. Our innovative technology, tools, and hybrid work trends enable Cisconians to excel and be their best selves. We are committed to bringing communities together, and our people are at the heart of this effort. Join us at Cisco to reinvent applications, secure enterprises, transform infrastructures, and work towards a more inclusive future for all.,

As a Hydrogeological/Hydrological Technical Specialist at WSP, you will have the opportunity to assist project managers and technical leads in executing a wide range of technical services related to hydrogeology and hydrology. Your responsibilities will include contributing to groundwater components of Environmental Impact Assessments, operational water management, and closure/reclamation projects within the oil sands/mining industry. You will provide technical support for geological and hydrogeological data analyses, visualization, and development of conceptual site models. Furthermore, you will be involved in applying hydrogeological principles to groundwater projects using conceptual and numerical modeling software. You will develop innovative techniques and methods to address groundwater challenges, perform specialist numerical modeling and simulations for engineering projects, and prepare technical documentation to support analytical and numerical studies. As a self-starter, you will take ownership of project tasks using your technical expertise and contribute to technical solutions across multiple engineering disciplines in a collaborative environment. You will also work closely with mentors and team members to support your individual career progression and growth. To qualify for this role, you should have a background in Environmental/Mining Engineering or a related field with a minimum of 2 to 7 years of experience. Proficiency in numerical analyses for engineering applications, understanding of numerical methods, and experience with commercial numerical groundwater modeling codes are desirable. Additionally, experience with visualization software, general-purpose scripting/programming, global optimization, and 3D geometries for numerical modeling purposes is advantageous. Moreover, familiarity with data science, machine learning, physical hydrogeology, and strong analytical and communication skills are essential. Experience with Microsoft Office software suite and the ability to work effectively in a team environment are also key requirements. At WSP, we are a global team of passionate professionals dedicated to creating sustainable solutions that shape communities and the future. We offer a collaborative work environment that encourages unconventional thinking and diverse perspectives. As part of our team, you will have access to exciting projects, global opportunities, and a culture that celebrates innovation and inclusivity. Join us at WSP and be a part of a network of experts committed to making a positive impact on societies worldwide. Apply now to be a part of our journey towards a better future for all.,

The Data Science Analyst role at Citi, located in Gurgaon, is a developing professional position within the GWFO team. As a Data Science Analyst, you will utilize specialized knowledge in machine learning, statistical modeling, and data analysis to evaluate processes and data, identifying opportunities for leveraging advanced analytics to enhance business outcomes. You will play a key role in automating processes, generating actionable insights, and developing innovative AI solutions to contribute to the organization's success. Collaboration with cross-functional stakeholders is a fundamental aspect of this role. In this position, your responsibilities will include gathering and processing operational data from various stakeholders, applying machine learning techniques to identify data patterns and trends, developing and implementing machine learning models for predictive analytics, and designing Generative AI solutions to enhance customer experience. You will also experiment with agentic AI frameworks, develop tools to evaluate AI solutions" performance, and translate data into consumer insights to drive targeting and segmentation strategies. Effective communication of findings to business partners and senior leaders is essential for success in this role. The ideal candidate should possess 5+ years of relevant experience in data science or a related field, advanced process management skills, a curious mindset for learning new skill sets, and strong programming skills in Python. Proficiency in relevant data science libraries, experience with statistical modeling techniques, and familiarity with data visualization tools are required. Additionally, strong logical reasoning capabilities, willingness to learn new skills, and good communication and presentation skills are essential for this position. A Bachelor's/University degree or equivalent experience in a quantitative field is necessary, with a Master's degree being preferred. Working at Citi offers more than just a job it provides the opportunity to join a global family of dedicated individuals, grow your career, contribute to your community, and make a meaningful impact. If you require a reasonable accommodation due to a disability to access our search tools or apply for a career opportunity, please review the Accessibility at Citi information. For more details, you can refer to Citis EEO Policy Statement and the Know Your Rights poster.,

We are looking for a curious and analytical Data Science Intern to join our data-driven team. This internship offers a great opportunity to work on real-world data projects, apply statistical methods, and acquire hands-on experience with data analysis and machine learning techniques. If you are passionate about data and keen to learn, we are interested in hearing from you! Your responsibilities will include assisting in collecting, cleaning, and analyzing large datasets. You will also be involved in developing predictive models, performing statistical analysis, and collaborating with team members to interpret data and derive insights. Additionally, you will support the creation of data visualizations and reports. Preferred experience for this role ranges from 0 to 5 years. This position is based in Mohali. If you are enthusiastic about data science and eager to contribute to meaningful projects, we encourage you to apply for this internship.,

Opportunity to teach advanced data science courses to working professionals. Join a high-performing edtech that helps professionals accelerate their careers. Our client is a fast-growing, well-funded Edtech venture offering premium, immersive learning in emerging and advanced tech domains. They provide live, instructor-led online courses in advanced tech areas such as AI, ML, Data Science, Future Tech (e.g., Extended Reality, Gaming & E-sports), Finance/FinTech, UX/UI, alongside enterprise training through B2B, B2I, and B2G verticals. We are seeking a dynamic and experienced academic leader to head our Data Science vertical. The Program Director / Senior Faculty - Data Science will be responsible for driving the overall curriculum design, teaching methodology, and academic strategy for the discipline. This role involves direct oversight of the faculty team, ensuring academic rigor, high-quality content delivery, and learner engagement. You will be the overall owner of the Data Science vertical - accountable for its academic direction, learner success, and alignment with industry requirements. The ideal candidate should be a highly qualified academic and industry professional, ideally holding a PhD in Data Science, Computer Science, Statistics, or a related field from a Tier-1 institution (IITs, IIMs, ISI, or top global universities). They should bring strong experience in applied data science from leading corporate or consulting firms, combined with a proven track record in teaching-particularly with working professionals and executive education. Furthermore, they should demonstrate the ability to lead academic teams, design impactful learning experiences, and communicate effectively with diverse stakeholders. This opportunity offers a competitive salary, flexibility in working hours, and a hybrid work mode. Additionally, you will receive two complimentary off days every week. Contact: Priya Ramrakhiani Quote job ref: JN-072025-6784097,

Job Description: As a Data Scientist at Hitachi Solutions India Pvt Ltd in Pune, India, you will be a valuable member of our dynamic team. Your primary responsibility will be to extract valuable insights from complex datasets, develop advanced analytical models, and drive data-driven decision-making across the organization. With 8-14 years of experience, your primary skills should include Data Science, with secondary skills in Data Engineering/Data Analytics. You will play a pivotal role in working on cutting-edge AI applications with a focus on Natural Language Processing (NLP), Time Series Forecasting, and a working knowledge of Computer Vision (CV) techniques. Your role will involve collaborating with a diverse team of engineers, analysts, and domain experts to build holistic, multi-modal solutions. Your expertise in Python and libraries like Pandas, NumPy, Scikit-learn, HuggingFace Transformers, and Prophet/ARIMA will be essential. Additionally, you should have a strong understanding of the model development lifecycle, from data ingestion to deployment, and hands-on experience with SQL and data visualization tools like Seaborn, Matplotlib, and Tableau. Experience in handling retail-specific data, familiarity with cloud platforms like AWS, GCP, or Azure, and exposure to API development (FastAPI, Flask) for ML model deployment will be beneficial. Knowledge of MLOps practices, previous experience in fine-tuning language models, and expertise in Data Engineering using Azure technologies are desirable skills for this role. Key responsibilities will include applying NLP techniques to extract insights from text data, analyzing historical demand data for Time Series Forecasting, and potentially contributing to Computer Vision projects. Collaboration with cross-functional teams and developing scalable ML components for production environments will be crucial aspects of your role. Qualifications required for this position include a Master's degree in Computer Science, Data Science, Statistics, or a related field, proven experience in data science or machine learning, strong proficiency in Python and SQL, and familiarity with cloud technologies like Azure Databricks and MLflow. Excellent problem-solving skills, strong communication abilities, and the capability to work independently and collaboratively in a fast-paced environment are essential for success in this role. Please be cautious of potential scams during the recruitment process, and all official communication regarding your application and interview requests will be from our @hitachisolutions.com domain email address.,

Join our team and contribute to the discovery of medicines that will impact lives! Located in Hyderabad, India, Aganitha is dedicated to accelerating drug discovery and development for Biopharma and Biotech R&D through innovative in silico solutions. Our team leverages Computational Biology & Chemistry, High throughput Sciences, AI, ML, HPC, Cloud, Data, and DevOps to drive advancements in the industry. In silico solutions have revolutionized the biopharma and biotech sectors, and our team of experts is at the forefront of this transformation. We are constantly expanding our multi-disciplinary team in Genomics, AI, and Cloud computing to accelerate drug discovery and development. Our passion lies in working in an innovation-rich, research-powered startup that bridges various disciplines to bring medicines to market faster. Collaborating with innovative Biopharma companies globally, we are committed to pushing boundaries and making a difference. As a part of our team, your key responsibilities will include engaging and co-innovating with R&D teams of our Biopharma clients, leading architecture initiatives, designing and overseeing implementation of solutions for BioPharma R&D, managing Engineering teams, enhancing reuse with platforms and frameworks, collaborating with business users, driving scope definition, and ensuring delivered solutions meet technical and functional requirements. Desired skills and expertise for this position include experience in big data engineering, cloud and DevOps automation, application development with modern tech stacks, and proficiency in Machine Learning and AI. Excellent communication skills and the ability to work in multidisciplinary teams are also essential. We are seeking individuals with educational qualifications such as a Bachelors, Masters, or Ph.D. in Computer Science or a related technical field to join our dynamic team at Aganitha. If you are passionate about making a difference in drug discovery and development, we invite you to join us in our mission to bring out your best and be limitless!,

You will assist in the timely and professional ongoing management of data operations related to use cases/demand deliverables and clinical data warehouse maintenance within the Clinical Pipeline team. Your responsibilities will include ensuring high-quality data for secondary analysis, supporting content development and upgrading training modules into engaging applications. You will also be required to adhere to data regulations, laws, handling procedures, and mapping guidelines. Within this role, you will manage data load and transfer from the Novartis Clinical Data Lake, conforming clinical trial data to SDTM/ADaM compliant standards in the Clinical Data Warehouse. Your contribution will support the delivery of quality data, processes, and documentation to efficiently execute use case/demands with timely and high-quality deliverables. Key Responsibilities: - Demonstrate technical proficiency, scientific creativity, collaboration, and independent thought - Provide input into writing specifications for use cases/demand and necessary reports - Participate in user acceptance testing and manage data mapping activities - Perform hands-on data quality assessments - Create and learn relevant data dictionaries, ontologies, and vocabularies - Collaborate with other data engineering teams to ensure consistent CDISC based data standards Key Performance Indicators: - Achieve high levels of quality, timeliness, cost efficiency, and customer satisfaction - Ensure no critical data findings due to Data Operations - Adherence to Novartis policy, data standards, and guidelines - Customer/partner/project feedback and satisfaction Minimum Requirements: - 3-5 years of experience in working with clinical trials data reporting - Knowledge of clinical data and data management - Experience in Agile way of working - Skills in CDISC SDTM/ADaM Mapping, SQL, Python, data privacy, data science, and databases - Ability to work in a worldwide team and attention to detail Language Requirement: - Proficiency in English Join Novartis to be part of a community dedicated to helping people with diseases and their families through innovative science and collaboration. Together, we can achieve breakthroughs that change patients" lives. To learn more about our culture and opportunities, visit: [Novartis People and Culture](https://www.novartis.com/about/strategy/people-and-culture) If this role is not the right fit for you, you can sign up for our talent community to stay connected and be informed about suitable career opportunities as they arise: [Novartis Talent Network](https://talentnetwork.novartis.com/network) Explore the benefits and rewards Novartis offers to help you thrive both personally and professionally by reading our handbook: [Novartis Benefits and Rewards](https://www.novartis.com/careers/benefits-rewards),

As a Software Engineer in the area of Software Engineering, you will be responsible for the development, maintenance, and optimization of software solutions and applications. You will apply scientific methods to analyze and solve software engineering problems, using your strong working experience in Python-based Django and Flask framework. Additionally, you will have experience in developing microservices based design and architecture, along with a solid understanding of programming knowledge in Javascript, HTML5, Python, Restful API, and gRPC API. Your programming experience and object-oriented concepts in Python will be crucial, as well as your knowledge of Python libraries like Numpy, Pandas, Open3D, OpenCV, and Matplotlib. You should also have knowledge of MySQL, Postgres, or MSSQL databases, 3D geometry, SSO/OpenID Connect/OAuth authentication protocols, and version control systems like GitHub, BitBucket, or GitLab. Furthermore, you should be familiar with continuous integration and continuous deployment (CI/CD) pipelines, possess basic knowledge of image processing, data analysis, and data science. Strong communication skills, analytical thinking, and the ability to handle challenges are essential for this role. You must also be a good team player, proactive in suggesting new ideas and solutions, and provide constructive analysis of team member's ideas. Having knowledge of other programming languages like C, C++, basics of machine learning, exposure to NoSQL databases, and cloud platforms such as GCP/AWS/Azure would be a plus. In this role, you will work collaboratively with other software engineers and stakeholders, demonstrating your ability to apply your skills and knowledge to achieve team goals. You will be expected to work independently with minimal supervision, delivering accurate and reliable results. Your work will involve original thought and judgment, and you may also supervise the technical and administrative work of other software engineers. If you have more than a year of relevant work experience, a solid understanding of programming concepts, software design, and software development principles, and can work cooperatively with others to achieve team goals, then you may be a great fit for this role. Organizing your time effectively and making decisions based on your understanding of the situation will be key to your success in this position.,