5495 Data Science Jobs - Page 24

You should have end-to-end project implementation and cross-functional stakeholder management experience, with a focus on agile project delivery. As a seasoned business analyst, you will be responsible for requirements analysis, requirements management, and documentation. It is important to have exposure to tools like JIRA, Confluence, as well as hands-on experience with SQL queries. Additionally, exposure to leading vendor products such as Actimize, Fircosoft, etc. would be beneficial. Experience in Data Science, Analytics, AI/ML, Gen AI, Data Management, Data Architectures, Data Governance, platforms, and applications is a plus. Virtusa is a company that values teamwork, quality of life, and professional and personal development. With a global team of 27,000 people, we are dedicated to supporting your growth and providing exciting projects, opportunities, and the chance to work with cutting-edge technologies throughout your career with us. At Virtusa, we believe in the power of great minds and great potential coming together. We foster a collaborative team environment and strive to offer a dynamic space where new ideas can flourish and excellence can be achieved.,

You will be working with HCL Software, a product development division of HCL Tech, to deliver software solutions that cater to the transformative needs of clients worldwide. The software developed by HCL Software spans across AI, Automation, Data & Analytics, Security, and Cloud domains, receiving accolades for its innovation and quality. Your primary focus will be on the Unica+ Marketing Platform, a product that empowers clients to execute precise and high-performance marketing campaigns across various channels such as social media, AdTech platforms, mobile applications, and websites. This platform, driven by data and AI, enables clients to create hyper-personalized offers and messages for customer acquisition, product awareness, and retention. As a Senior & Lead Python Developer specializing in Data Science and AI/ML, you are expected to leverage your 8+ years of experience in the field to deliver AI-driven marketing campaigns effectively. Your responsibilities will include Python programming, statistical analysis and modeling, data cleaning and preprocessing, SQL and database management, exploratory data analysis, machine learning algorithms, deep learning frameworks, model evaluation and optimization, and deployment of machine learning models. To excel in this role, you must possess a minimum of 8-12 years of Python development experience, with at least 4 years dedicated to data science and machine learning. Additionally, familiarity with Customer Data Platforms (CDP) like Treasure Data, Epsilon, Tealium, Adobe, Salesforce, and AWS SageMaker will be advantageous. Proficiency in integration tools and frameworks such as Postman, Swagger, and API Gateways is desired, along with expertise in REST, JSON, XML, and SOAP. A degree in Computer Science or IT is a prerequisite for this position. Excellent communication and interpersonal skills are essential, as you will be collaborating within an agile team environment. Your ability to work effectively with others and apply agile methodologies will be crucial for success. The role may require approximately 30% travel, and the preferred location is Pune, India. If you meet the qualifications and possess the necessary skills, we invite you to consider joining our dynamic team at HCL Software to contribute to cutting-edge software solutions and drive innovation in the field of data science and AI/ML.,

The Associate Professor of Computer Science and Engineering position in Chennai is a full-time on-site role that involves teaching both undergraduate and graduate courses, as well as developing and updating curriculum. In addition to these responsibilities, the Associate Professor will be involved in conducting research, mentoring students, and publishing research findings. Participation in departmental meetings, serving on academic committees, and contributing to the academic community of the college are also expected duties. The ideal candidate for this role should possess expertise in Computer Science and Programming skills, along with experience in Data Science and Cybersecurity. Proficiency in Curriculum Development is essential, as well as excellent written and verbal communication skills. The ability to work collaboratively and contribute effectively to a team is crucial for success in this position. Prior academic experience and a strong publication record are highly desirable qualifications. A Ph.D. in Computer Science, Computer Engineering, or a related field is a requirement for this role.,

You will be joining the Microsoft Security organization, where security is a top priority due to the increasing digital threats, regulatory scrutiny, and complex estate environments. Microsoft Security aims to make the world a safer place by providing end-to-end security solutions to empower users, customers, and developers. As a Senior Data Scientist, you will be instrumental in enhancing our security posture by developing innovative models to detect and predict security threats. This role requires a deep understanding of data science, machine learning, and cybersecurity, along with the ability to analyze large datasets and collaborate with security experts to address emerging threats and vulnerabilities. Your responsibilities will include understanding complex cybersecurity and business problems, translating them into well-defined data science problems, and building scalable solutions. You will develop and deploy production-grade AI/ML systems for real-time threat detection, analyze large datasets to identify security risks, and collaborate with security experts to incorporate domain knowledge into models. Additionally, you will lead the design and implementation of data-driven security solutions, mentor junior data scientists, and communicate findings to stakeholders. To qualify for this role, you should have experience in developing and deploying machine learning models for security applications, preferably in a Big Data or cybersecurity environment. You should be familiar with the Azure tech stack, have knowledge of anomaly detection and fraud detection, and possess expertise in programming languages such as Python, R, or Scala. A Doctorate or Master's Degree in a related field, along with 5+ years of data science experience, is preferred. Strong analytical, problem-solving, and communication skills are essential, as well as proficiency in machine learning frameworks and cybersecurity principles. Preferred qualifications include additional experience in developing machine learning models for security applications, familiarity with data science workloads on the Azure tech stack, and contributions to the field of data science or cybersecurity. Your ability to drive large-scale system designs, think creatively, and translate complex data into actionable insights will be crucial in this role.,

The Sales Ex COE - Client Success Data Science Specialist role based in Bangalore, Gurgaon, Hyderabad, or Mumbai requires expertise in data science, machine learning, and generative AI skills. As part of the Center of Excellence (COE), you will support salespeople by analyzing data, creating models, and delivering insights to enhance sales and pricing methods. Your primary responsibility will be to enable Sales Excellence in providing top-notch service offerings to Accenture's leaders, practitioners, and sales teams. Working within the COE Analytics Modeling Analysis team, you will develop models and scorecards to improve processes, drive sales, and maximize profitability. Collaborating with operations teams, you will translate data-driven insights into actionable solutions, manage tool access, and monitor usage. Key responsibilities include: - Extracting and transforming raw data from various sources for analysis and modeling - Applying statistical, machine learning, and NLP techniques to identify patterns and extract insights - Developing machine learning or deep learning models to address complex business challenges - Presenting findings to technical and non-technical audiences in a clear manner - Exploring Gen AI use cases and collaborating with cross-functional teams to develop solutions - Ensuring data compliance with privacy regulations and implementing security measures - Staying updated on advancements in data science and Gen AI To qualify for this role, you should have a Bachelor's degree with at least 4 years of experience in AI/ML, including expertise in machine learning algorithms, NLP techniques, generative AI skills, data visualization tools, and coding in Python, SQL, or R. Strong communication, time management, organizational, and project management skills are essential. A Master's or doctoral degree in Data Science or related field, along with experience in developing Gen AI solutions using Azure OpenAI or Google PaLM2, is preferred. Join Accenture, a leading company with a wealth of experience, and contribute your 6-9 years of expertise to drive innovation and success in the field of data science and AI.,

Achieving your goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network. Come join us to create what's next. Let's define tomorrow, together. United's Digital Technology team is comprised of many talented individuals all working together with cutting-edge technology to build the best airline in the history of aviation. Our team designs, develops, and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics, and digital solutions. The Manager for Business Intelligence will play a critical role in ensuring safety is at the core of everything United Airlines does. The team is integral in ensuring a safe workplace for employees and a secure travel experience for customers. This role is responsible for supporting the development and implementation of a cohesive safety data strategy, growing United's Safety Data Management programs. Key Responsibilities: - Supporting the development and implementation of a cohesive safety data strategy - Leading the data engineering efforts to ontologize a scalable data pipeline - Creating and maintaining highly integrated corporate safety data sources - Identifying opportunities for prescriptive and predictive use cases - Developing key safety metrics through data analysis - Providing actionable data-driven insights - Building comprehensive business intelligence tools and dashboards - Leading and coordinating with a team of data managers and subject matter experts - Collaborating with Digital Technology teams to leverage the latest in Data Science - Developing and implementing predictive/prescriptive data business intelligence for Safety Data Management - Collaborating with operational teams to analyze, predict, and reduce safety risks - Building and maintaining the "single source of truth" for United's Corporate Safety data - Communicating and sharing updates with senior leadership in the US and India - Defining, prioritizing, allocating resources, tracking, and providing status reporting of work assignments, projects, programs - Coaching and cultivating the team at the India Knowledge Center Location Qualifications: Minimum Qualifications: - Bachelor's degree in computer science, data science, information systems, engineering, or another quantitative field - At least 6 years of experience in business intelligence, analytics, and/or data engineering - At least 1 year of experience in a leadership/supervisory role preferred - Expert level SQL skills - Experience with Foundry/Microsoft SQL Server Management Studio and hands-on experience working with massive data sets - Intermediate to expert level BI dashboarding experience - Proficiency in writing complex code using traditional and modern technologies/languages - Ability to study/understand business needs and design data/technology solutions - Strong project management and communication skills - Legally authorized to work in India for any employer without sponsorship - Fluent in English (written and spoken) Preferred Qualifications: - Master's degree - Palantir or Tibco Certifications Successful completion of the interview is required to meet job qualification. Reliable, punctual attendance is an essential function of the position.,

You will be joining IET Bhaddal, a dynamic community that places a strong emphasis on the fusion of knowledge and innovation. The institution is accredited by NAAC and approved by AICTE, PCI, COA, and UGC U/s 2(f) & 12(b). Affiliated with IKG-PTU Kapurthala and PSBTE&IT Chandigarh, we are dedicated to offering exceptional education and fostering holistic development. Our wide array of programs includes engineering, technology, architecture, management, and pharmaceutical sciences, catering to a diverse range of interests. As an Assistant Professor in Computer Science Engineering, this full-time on-site role based in the Mohali district will entail various responsibilities. Your primary tasks will involve teaching both undergraduate and graduate courses, crafting curriculum, mentoring students, and engaging in research across different computer science domains. Additionally, you will be expected to provide guidance to students, actively participate in departmental initiatives, and contribute to the overall growth of the institution. To excel in this role, you should possess expertise in Computer Science, AI/ML, Data Science, and Cybersecurity. Proficiency in programming and curriculum development is essential, along with exceptional written and verbal communication skills. The ability to work both autonomously and collaboratively is crucial. A Doctorate or Masters degree in Computer Science Engineering or a related field is required, while prior teaching experience in higher education will be advantageous. A robust research background with publications in esteemed journals would be beneficial for this position.,

At EY, you'll have the opportunity to shape a career that aligns with your unique strengths and aspirations, supported by a global network, inclusive environment, and cutting-edge technology. Your voice and perspective are valued as we strive to enhance EY's capabilities and create a more inclusive working world. Join the EY Parthenon team as the Artificial Intelligence (AI) and Generative AI (GenAI) Leader. This dynamic team focuses on delivering innovative client solutions across various industries, leveraging digital and AI technologies to drive transformation and growth. As the Executive Director of AI & GenAI at EYP, your role involves spearheading the integration of advanced AI solutions to address complex client challenges. Your responsibilities include collaborating with regional teams to identify AI opportunities, design tailored proposals, and lead client workshops to develop AI strategies aligned with business outcomes. Key responsibilities also include architecting end-to-end AI solutions, driving cross-sector innovation, ensuring ethical AI practices, and contributing to AI trends and thought leadership initiatives. To excel in this role, you should possess technical expertise in AI/GenAI lifecycle, proficiency in Python and AI frameworks, consulting acumen, and strong leadership skills. Qualifications for this position include significant experience in AI/data science projects, familiarity with Azure Cloud Framework, and expertise in statistical techniques and machine learning algorithms. Preferred qualifications include a PhD/MS/MTech/BTech in Computer Science or related field, research experience in AI applications, and strategic thinking abilities. Join us to lead AI innovation for Fortune 500 clients, collaborate with multidisciplinary experts, and accelerate your career in a culture of entrepreneurship and continuous learning. EY Global Delivery Services (GDS) offers a diverse and inclusive environment where you can collaborate with global teams and work on impactful projects across various business disciplines. You'll have access to continuous learning opportunities, transformative leadership resources, and a supportive culture that values individual contributions and fosters growth. EY is committed to building a better working world by creating long-term value for clients, promoting diversity and trust, and addressing complex global challenges through innovative solutions. Join us to be part of a team that asks better questions to find new answers and make a positive impact on the world.,

As a Product Analyst at Landmark Digital, you will play a crucial role in championing data-driven decision-making for the digital function. Your responsibilities will include owning the Ecommerce KPIs of the squad, preparing, monitoring, and reporting them regularly to relevant teams. You will also be tasked with tracking and measuring the incremental value derived from every feature launched by the squad. Your role will involve proactively engaging with product owners to identify high-value impact items on the backlog through data-driven analysis. Additionally, you will interact with business stakeholders to troubleshoot data issues and collaborate with both business and technical teams for quick resolutions. You will lead hypothesis testing of business impact decisions, conduct AB tests for feature launches, and analyze and report their performance regularly. A key aspect of your role will be to deep dive into metrics and issues, present clear recommendations based on data discovery, and collate data from various sources to generate insights for different audience groups, ranging from senior management to tech teams. You will work closely with squads to address any data-related impediments and ensure smooth workflow. To be successful in this role, you should have at least 5+ years of experience in a Product Analyst role within the consumer goods ecommerce sector. You must possess a thorough understanding of customer journeys on ecommerce platforms and be adept at analyzing user funnels, dropouts, conversions, traffic, NPS, reviews, and ratings. Your track record should demonstrate the ability to drive value and influence key business metrics through data-informed product innovation. Proficiency in data analysis tools such as SQL, Big Query, MS Excel Advanced, and Power BI is essential. Experience in data mining, scripting with R/Python, and familiarity with data science and analytics platforms like SAS and Azure Data Bricks will be beneficial. Your communication skills should be top-notch, enabling you to effectively educate stakeholders and motivate them to act on your data-driven recommendations. As a part of the Landmark Digital team, you will work in a dynamic environment where collaboration, innovation, and continuous learning are encouraged. Your role will involve working with cross-functional teams, requiring excellent organizational, time management, analytical, and problem-solving skills. Attention to detail, the ability to prioritize tasks, and meet deadlines will be crucial for success in this position.,

The Specialized Analytics Senior Analyst role is a senior position where you will apply your deep disciplinary knowledge to contribute to the development of new techniques and enhance processes and workflows within your area of expertise. Your role will involve integrating subject matter and industry expertise within a defined area, requiring a thorough understanding of how different areas collectively integrate within the sub-function. You will be responsible for coordinating and contributing to the objectives of the function and overall business. Your analytical skills will be crucial in evaluating moderately complex issues with substantial potential impact, involving weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Excellent communication and diplomacy skills are essential for this role as you will regularly assume informal/formal leadership roles within teams and be involved in coaching and training new recruits. Your influence will have a significant impact on project size, geography, etc., by providing advice, counsel, and facilitating services to others in your area of specialization. The work and performance of all teams in the area will be directly influenced by your performance. Responsibilities: - Work with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of business strategies - Identify and compile data sets using tools like SQL and Access to help predict, improve, and measure the success of key business outcomes - Document data requirements, data collection/processing/cleaning, and exploratory data analysis, which may involve utilizing statistical models/algorithms and data visualization techniques - Specialize in marketing, risk, digital, and AML fields - Assess risk appropriately when making business decisions to safeguard Citigroup, its clients, and assets by driving compliance with laws, rules, and regulations Qualifications: - 8-12 years of experience - Ability to retrieve and manipulate data - Advanced analytic ability and problem-solving skills - Ability to build partnerships with cross-functional teams - Working experience in a quantitative field, Financial/Credit Card industry - Willingness to learn and a can-do attitude - Excellent communication and interpersonal skills, organization, attention to detail, flexibility, and adaptability to a matrix work environment Education: - Bachelors/University degree or equivalent experience This job description provides a high-level overview of the work performed. Other job-related duties may be assigned as required.,

As a Principal Scientist within the Preclinical Safety (PCS) Pathology Team at Novartis, you will play a crucial role in advancing translational safety omics data analysis to support innovative drug discovery and development efforts. Your responsibilities will involve collaborating closely with pathologists, bench scientists, and subject matter experts across different Novartis sites such as the USA and Switzerland. Your expertise in omics-based data science and your dedication to enhancing multimodal data analysis in translational drug safety will be key to success in this role. Your day-to-day tasks will include using machine learning and statistical methods to analyze spatial transcriptomics and spatial proteomics data from raw reads, comparing and contrasting different omics data sets, conducting multimodal analysis with other data modalities, and supporting various projects with data science expertise in fields like gene and cell therapy, target discovery, genetics, drug safety, and compound screening. Additionally, you will be expected to innovate by leveraging Data Science and Artificial Intelligence to solve problems effectively, communicate regularly with stakeholders, evaluate new technologies and scientific software, and independently identify and apply research articles to business problems. To qualify for this position, you should hold a Master's or Ph.D. in Data Science, Computational Biology, Bioinformatics, or a related discipline. You must be proficient in programming languages and data science workflows such as Python, R, Git, UNIX command line, and high-performance computing clusters. A minimum of 5 years of experience in analyzing large biological datasets in a drug discovery/development or academic setting is required, along with proven expertise in exploratory data analysis, statistical inference, and machine learning algorithms. Your collaborative mindset, exceptional communication skills, and ability to work in an agile environment will be essential for success in this role. Novartis is a company dedicated to improving and extending people's lives, with a strong belief in the power of medical science and digital innovation. The organization values diversity, equity, and inclusion, fostering an environment that encourages new ways of working and collaboration. By joining Novartis, you will have the opportunity to work in an unbossed culture that promotes integrity, curiosity, and flexibility, allowing you to tackle challenging medical problems with courage and ambition. Novartis is committed to creating an inclusive work environment that reflects the diversity of the patients and communities it serves. If you are interested in exploring career opportunities at Novartis, you can join the Novartis Network to stay connected and receive updates on future roles that align with your goals. Novartis offers a range of benefits and rewards to support your personal and professional growth. To learn more about the opportunities available and the company's commitment to helping you thrive, you can refer to the Novartis handbook on benefits and rewards.,

You should have knowledge of Java, Advance Java, Data Analytics, Data Science, Web Design, Python, Machine Learning, and Artificial Intelligence. The minimum qualification required for this role is a Bachelor's Degree. You should have at least 1 year of experience. The salary offered for this position ranges from 14,000 to 25,000 per month. This is a full-time, permanent job. Benefits include commuter assistance and internet reimbursement. The work schedule is during the day shift. There is also a performance bonus available. The preferred education level is a Bachelor's degree. Preferred experience includes 1 year of teaching experience and 1 year of total work experience. This position requires in-person work. The expected start date for this role is 07/07/2025.,

As a member of our team, you will be responsible for migrating data to ensure seamless and efficient transfer of information. Your role will involve handling data migration processes with precision and accuracy to support our clients in leveraging data for actionable insights. With your skills in data management and migration, you will play a key role in assisting over 50 Fortune 500 clients across various industries. Your contribution will be instrumental in enabling our clients to make informed decisions based on the data insights you help deliver. Tredence is a dynamic and innovative company that is committed to transforming data into valuable insights. Since our establishment in 2013, we have been at the forefront of leveraging data science and AI to drive business value for our clients. With our headquarters in San Jose and a global presence in 5 countries, we are dedicated to being the leading analytics partner worldwide. Joining Tredence means becoming part of a team that combines deep domain expertise with cutting-edge technologies to deliver unparalleled analytics solutions. We are excited to welcome you aboard as we continue our journey of innovation and excellence in the field of data analytics.,

You are currently hiring for the position of Director LL5, where you will be the owner and strategic leader of a multidisciplinary team consisting of data scientists, data engineers, and software engineers. In this role, you will be responsible for overseeing all aspects of analytics services and product development. This includes defining and framing business problems, identifying relevant data sources, designing and developing analytical models, validating model performance and effectiveness, as well as leading product deployment and launch initiatives. This position offers a high-impact leadership opportunity to influence the future of data-driven decision-making at Ford. As the Director LL5, you will drive AI and Analytics innovation for Finance Modernization.,

As a Data Analyst with expertise in Market Research and Web Scraping, you will be responsible for analyzing large datasets to uncover trends and insights related to market dynamics and competitor performance. Your role will involve conducting thorough market research to track competitor activities, identify emerging trends, and understand customer preferences. Additionally, you will design and implement data scraping solutions to extract competitor data from various online sources while ensuring compliance with legal standards and website terms of service. Your key responsibilities will include developing dashboards, reports, and visualizations to communicate key insights effectively to stakeholders. You will collaborate with cross-functional teams to align data-driven insights with company objectives and support strategic decision-making in product development and marketing strategies. Furthermore, you will be involved in database management, data cleaning, and maintaining organized databases with accurate and consistent information for easy access and retrieval. To excel in this role, you should have a Bachelor's degree in Data Science, Computer Science, Statistics, Business Analytics, or a related field. Advanced degrees or certifications in data analytics or market research will be advantageous. Proficiency in SQL, Python, or R for data analysis, along with experience in data visualization tools like Tableau, Power BI, or D3.js, is essential. Strong analytical skills, the ability to interpret data effectively, and knowledge of statistical analysis techniques are key requirements for this position. Experience with data scraping tools such as BeautifulSoup, Scrapy, or Selenium, as well as familiarity with web analytics and SEO tools like Google Analytics or SEMrush, will be beneficial. Preferred skills include experience with e-commerce data analysis, knowledge of retail or consumer behavior analytics, and an understanding of machine learning techniques for data classification and prediction. Ethical data scraping practices and adherence to data privacy laws are essential considerations for this role. If you meet these qualifications and are excited about the opportunity to work in a dynamic environment where your analytical skills and market research expertise will be valued, we encourage you to apply by sending your updated resume along with your current salary details to jobs@glansolutions.com. For any inquiries, feel free to contact Satish at 8802749743 or visit our website at www.glansolutions.com to explore more job opportunities. Join us at Glan Solutions and leverage your data analysis skills to drive strategic decisions and contribute to our success in the fashion/garment/apparel industry! Note: This job was posted on 14th November 2024.,

As a Management Trainee in HR specializing in Artificial Intelligence based in Mumbai, you will have the opportunity to lead the transformation of traditional HR practices by leveraging data-driven and AI-enabled solutions. Your role will involve working on cutting-edge projects that delve into predictive talent analytics, AI-powered recruitment, chatbot automation, employee sentiment analysis, intelligent performance management systems, and talent management. This position is tailored for early-career professionals who possess a deep passion for both HR and technology, aspiring to revolutionize the future of work through innovation and digitalization. Your responsibilities will include collaborating with various HR Centers of Excellence (CoEs) such as Talent Acquisition, Learning & Development, and Rewards to identify opportunities where AI can enhance efficiency and effectiveness. You will be tasked with developing and implementing AI models for talent insights like attrition prediction, engagement analysis, and workforce planning. Additionally, you will support the integration and oversight of AI-driven tools such as chatbots and recommendation engines, and contribute to data collection, cleansing, and visualization for ongoing HR analytics projects. Your role will also involve staying abreast of HR Tech and AI trends to propose forward-thinking solutions to the HR leadership team, as well as participating in pilot projects, proof-of-concept tests, and vendor assessments for AI tools in HR. Furthermore, you will be responsible for documenting best practices, use cases, and insights for knowledge management purposes. To excel in this role, you should hold a B. Tech degree and an MBA/PGDM in Human Resources or equivalent from a renowned institute (expected graduation in 2025) with previous work experience. A background or coursework in Data Science, AI, Machine Learning, or HR Analytics is highly desirable. Proficiency in tools like Python, R, Power BI, Tableau, or SQL would be advantageous. An analytical mindset with a keen interest in data and emerging technologies, as well as exceptional communication, collaboration, and project management skills are essential. Your demonstrated enthusiasm for future-of-work, digital HR, or HR transformation initiatives will be a valuable asset in this role.,

As a Data Scientist at Buckman, a global specialty chemical company headquartered in Memphis, TN, USA, you will play a crucial role in leading the development of a Data Science program. You will collaborate closely with Buckman stakeholders to leverage deep industry knowledge across various sectors such as paper, water, leather, and performance chemicals. Your responsibilities will include formulating a data strategy for the organization, encompassing data collection, creation of a data science project portfolio, collaboration with external partners, and enhancing internal capabilities through strategic hiring. Moreover, a significant aspect of your role will involve engaging with key stakeholders and subject matter experts to drive proofs of concept projects that showcase the innovative application of data science in addressing longstanding challenges in unique ways. Given the initial lack of a substantial internal team, your individual expertise, comprehensive knowledge of data science, and ability to collaborate with external entities will be essential for achieving success. In addition to tackling data science challenges, you will closely collaborate with a diverse team comprising sensor scientists, software engineers, network engineers, mechanical/electrical engineers, and chemical engineers in developing and implementing IoT solutions. The ideal candidate for this role should hold a Bachelor's degree in a quantitative field such as Data Science, Statistics, Applied Mathematics, Physics, Engineering, or Computer Science, along with a minimum of 7 years of relevant experience in an analytical role involving data extraction, analysis, and visualization. Preferred qualifications include a Master's or PhD degree in a quantitative field, experience in the specialty chemicals sector or similar industries, background in engineering (especially Chemical Engineering), experience in initiating data science programs, working with global stakeholders, and familiarity with start-up environments, particularly in IoT companies. Proficiency in quantitative modeling tools and statistical analysis is also desirable. To excel in this role, you should demonstrate a strong business acumen, a proactive approach to delivering data science solutions with real-world impact, effective collaboration skills with diverse team members, adeptness in communicating with varied stakeholders, robust planning and organizational abilities to manage complex projects, and a commitment to continuous learning and skill enhancement. If you are passionate about driving digital transformation, sustainability initiatives, and data-driven innovation in a dynamic work environment, Buckman offers an exciting opportunity for you to leverage your expertise and contribute to the company's strategic goals. Join us in our mission to deliver exceptional service and innovative solutions to customers worldwide.,

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 required for this role. You should have experience in Adobe Experience Cloud products and recent experience with Adobe Experience Platform or a similar CDP. Having good knowledge of the Data Science workspace and building intelligent services on AEP is essential. Strong familiarity with datasets in Adobe Experience Platform, including loading data into the platform through data source connectors, APIs, and streaming ingestion connectors, is necessary. Experience in creating all required Adobe XDM (Experience Data Model) in JSON based on the approved data model for all loading data files is a key requirement. Knowledge of utilizing Adobe Experience Platform (AEP) UI & POSTMAN to automate all customer schema data lake & profile design setups within each sandbox environment is expected. Experience in configuration within Adobe Experience Platform all necessary identities & privacy settings and creating new segments within AEP to meet customer use cases is essential. Testing/validating the segments with the required destinations is also part of the role. Managing customer data using Real-Time Customer Data Platform (RTCDP) and analyzing customer data using Customer Journey Analytics (CJA) are important responsibilities. Experience with creating connections, data views, and dashboards in CJA is also required. Hands-on experience in the configuration and integration of Adobe Marketing Cloud modules like Audience Manager, Analytics, Campaign, and Target is necessary. Adobe Experience Cloud tool certifications (Adobe Campaign, Adobe Experience Platform, Adobe Target, Adobe Analytics) are desirable. 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 important for this role. At Capgemini, you can shape your career with a range of career paths and internal opportunities within the Capgemini group. You will receive personalized career guidance from our leaders. Comprehensive wellness benefits, including health checks, telemedicine, insurance with top-ups, elder care, partner coverage, or new parent support via flexible work, will be 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 committed to ensuring that people of all backgrounds feel encouraged and have a sense of belonging. You are valued for who you are, and you can bring your original self to work. 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 a responsible and diverse group of 340,000 team members in more than 50 countries, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. The company delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market-leading capabilities in AI, generative AI, cloud, and data, combined with its deep industry expertise and partner ecosystem.,

As the Practice Leader for Travel Tech & OTA at AIonOS, you will be responsible for leading and shaping our business in the strategic domain of AI-driven travel technology. Your role will involve defining and evolving the vision, strategy, and roadmap for the Travel Tech & OTA practice, aligned with our company's AI-first approach. You will be instrumental in conceptualizing and enhancing AI-powered solutions, platforms, and accelerators tailored for the travel and OTA ecosystem. Collaboration with cross-functional teams such as data science, engineering, and product development will be crucial as you lead the development of innovative AI/GenAI solutions to bring to market. You will also play a key role in driving revenue growth by identifying opportunities, shaping deals, and supporting proactive pursuits in partnership with the Sales team. Establishing thought leadership and brand recognition in the AI for Travel and OTAs space will be a significant aspect of your role. You will represent the company at global travel and technology events, industry panels, and innovation summits. Creating impactful content such as white papers, blogs, webinars, and success stories will be part of your responsibilities to shape industry discourse and engage with customers. Additionally, you will serve as an executive advisor to CXOs in the travel industry, leading discussions on digital transformation, operational intelligence, and customer experience. Collaborating internally with delivery teams, HR, Learning, Marketing, and Innovation functions will be essential to ensure world-class execution, talent development, and market visibility for the practice. To be successful in this role, you should have at least 15 years of experience in the Travel Tech and OTA space with a strong background in consulting or solution leadership. Demonstrated expertise in driving AI/ML/GenAI-powered solutions within the travel industry is required. Excellent executive communication skills, prior experience in building or scaling travel practices, and a deep network within the travel ecosystem are preferred attributes. If you are a strategic thinker with an entrepreneurial mindset, execution excellence, and a passion for driving innovation in the travel technology sector, we invite you to join us in leading the transformation of businesses into AI-native enterprises at AIonOS.,

As a Machine Learning Specialist in Clinical Supply Chain, you will play a crucial role in leveraging your expertise in data science to enhance the efficiency of our clinical trial supply chain. Your responsibilities will include designing, developing, and implementing machine learning models to predict clinical supply needs, optimize inventory levels, and minimize wastage. By collaborating with various teams, such as clinical operations, supply chain, and IT, you will identify relevant data sources and seamlessly integrate machine learning solutions into existing workflows. Your key duties will involve analyzing extensive datasets from clinical trials, logistics systems, and external sources to identify trends and extract valuable insights. You will be tasked with creating tools and dashboards that facilitate real-time decision-making and scenario planning. It will also be your responsibility to ensure that the developed models adhere to performance standards, scalability requirements, and regulatory guidelines such as GxP and 21 CFR Part 11. Staying abreast of the latest advancements in machine learning and artificial intelligence, you will apply industry best practices to address the challenges faced within the clinical supply chain domain. To excel in this role, you should hold a Master's or PhD degree in Computer Science, Data Science, Engineering, or a related field and possess a minimum of 3 years of experience in machine learning, data science, or AI, preferably within healthcare or life sciences. Your practical knowledge of clinical supply chain processes, including demand forecasting, IRT systems, and logistics planning, will be invaluable. Proficiency in programming languages such as Python, R, SQL, and familiarity with ML frameworks like scikit-learn, TensorFlow, and PyTorch are essential. Additionally, your expertise in statistical modeling, time series forecasting, and optimization techniques will be crucial to your success. Effective communication skills and the ability to collaborate across departments in a dynamic environment are essential qualities for this role. Preferred qualifications include experience with clinical trial data (e.g., EDC, CTMS, IRT), knowledge of regulatory requirements in clinical research, and familiarity with cloud platforms such as AWS, Azure, and GCP, along with MLOps practices. Your technical skills in SQL, R, statistical modeling, Python, ML frameworks, time series forecasting, TensorFlow, and your deep understanding of clinical supply chain operations will be instrumental in driving data-driven decision-making and optimizing logistics within our clinical trial supply chain.,

As the Machine Learning Engineering Manager at our company, you will play a crucial role within the Data Science Management Team. Reporting directly to the General Manager - Data Science, your primary responsibility will involve leading the productionising of advanced analytics and Machine Learning initiatives. Your key tasks will include collaborating closely with technical and data teams to enhance platform capability and streamline processes in order to support our Data Science and analytics community effectively. This role offers an exciting opportunity to contribute significantly to the growth and success of our data-driven initiatives.,

As a SDET QA Automation Engineer in Benchmark & Index Management, you will be responsible for automating Quality Assurance (QA) processes for business-critical applications. Your role will involve developing high-quality test software and implementing various test strategies. You will be expected to contribute to and lead testing activities by creating high-quality functional and automation test scenarios. Your responsibilities will include identifying, prioritizing, and executing tasks throughout the software development lifecycle. Additionally, you will be developing tools and applications necessary for automation by writing clean, efficient, and scalable code using Python-based test frameworks. In this role, you will automate tSQL Stored Procedure regression, component, and unit tests using tSQLt and pytest. You will also utilize Generative AI and Machine Learning to validate data, predict inefficient processes, and generate automatic test cases. Furthermore, you will conduct database and process performance testing using benchmarking frameworks and AI-based anomaly detection. As a key member of the team, you will advocate for engineering excellence by implementing automation, conducting code reviews, and promoting continuous integration/continuous delivery (CI/CD). Collaboration with business and engineering partners to deliver products, services, and solutions aligned with customer needs and business objectives will be a crucial aspect of your role. To qualify for this position, you should have over 5 years of experience as a Software Developer in Test, with a focus on automation in large-scale data platforms. Proficiency in test case design, automation testing using Python frameworks, and familiarity with QA and Test Automation suites and technologies is required. Additionally, experience with MS-SQL or PostgreSQL, Python, AI/ML, Data Science technologies, and AWS cloud services is preferred. The ideal candidate will possess strong analytical skills, problem-solving abilities, and the ability to work effectively in an agile environment. Excellent interpersonal skills, attention to detail, and a passion for continuous learning are also essential attributes for this role. Join us at London Stock Exchange Group (LSEG) and be part of a global organization that values individuality, encourages collaboration, and is committed to sustainability. We offer a dynamic and inclusive work environment where your creativity and ideas are valued, and where you can contribute to driving sustainable economic growth.,

As a Data Product Manager for the Beauty Tech division at L'Oral, you will play a crucial role in shaping the future of data-driven decisions within the organization. Your responsibilities will include owning the product vision, strategy, and roadmap for internal data and analytics tools, as well as machine learning product capabilities. By acting as the key liaison between business stakeholders and data engineering, data science, and design teams, you will bring cutting-edge data products to life. Your primary responsibilities will revolve around defining and championing the technology vision, strategy, and roadmap for data analytics products and use cases of various complexities. This involves everything from creating Dashboards and Reports to developing complex data products that incorporate machine learning and Generative AI. You will work closely with stakeholders across different business units to gather and analyze requirements, translating user needs into detailed product specifications. Throughout the product lifecycle, from ideation to launch, you will oversee the development and execution process, ensuring timely and efficient delivery of high-quality products. This will require close collaboration with data engineering, design, and QA teams. Additionally, you will be responsible for managing the current data platform for consistency in performance and ensuring necessary updates and compliance on a day-to-day basis. Stakeholder management will be a critical aspect of your role, as you will need to communicate product updates, roadmap changes, and strategic decisions to key stakeholders. Building strong cross-functional relationships will be essential in fostering collaboration and driving the success of the product. Leveraging data analysis, you will track product performance, measure key metrics, and identify areas for continuous improvement. To excel in this role, you should be a highly driven and technically proficient program/delivery manager with proven experience in product management. Excellent stakeholder management skills, the ability to work in a cross-functional environment, and exceptional planning, organizational, and time management skills are essential. Strong communication and collaboration skills will be necessary for managing key stakeholders, vendors, and partners in both business and IT. A proactive attitude with a focus on operational excellence and agility will help you navigate the challenges of the role effectively. Additionally, having a solid understanding of machine learning concepts, algorithms, and applications within the GCP AI/ML ecosystem will be beneficial. Travel may be required based on business needs. Qualifications for this role include a Bachelor's degree in computer science, engineering, business, statistics, or a related field, with a Master's degree preferred. You should have 8+ years of product management experience focused on data analytics, business intelligence, or machine learning products, along with a proven track record of launching and managing data-driven products within cloud environments, specifically GCP. Exceptional analytical, problem-solving, communication, presentation, and interpersonal skills are crucial, along with experience in Agile development methodologies and a passion for the beauty and cosmetics industry.,

As an AI/ML Trainer at our institution in Bhubaneshwar, you will be responsible for delivering comprehensive lectures on Artificial Intelligence, Machine Learning, Deep Learning, and Data Science to students enrolled in B.Tech, MCA, and M.Sc-IT courses. Your role will involve equipping students with both theoretical knowledge and practical skills essential for industry readiness. Your key responsibilities will include delivering engaging lectures on topics such as Machine Learning Algorithms, Supervised/Unsupervised Learning, Neural Networks, Computer Vision, Natural Language Processing (NLP), and AI model deployment. You will ensure that students gain conceptual clarity and hands-on experience using tools like Python, TensorFlow, Keras, and Scikit-learn. Additionally, you will be expected to continuously update teaching content to align with industry trends and technological advancements. Apart from teaching, you will also be involved in conducting applied research in AI/ML, staying updated with the latest advancements in the field, and supporting students in research and innovation projects. Providing mentorship to students working on AI/ML internships, final year projects, or competitions will be an integral part of your role. Collaboration is key in this position, as you will collaborate with academic peers and industry experts to enhance the AI/ML curriculum and establish connections with AI/ML startups or companies for student internships and collaborative projects. Professional development is encouraged, and you will have the opportunity to participate in workshops, webinars, and conferences to stay abreast of the evolving AI landscape. To qualify for this role, you should possess a Masters degree in Artificial Intelligence, Computer Science, Data Science, or a related field, along with 6 months to 1 year of experience. A strong background in Machine Learning, Deep Learning, and proficiency in Python-based AI tools is essential. Prior teaching or corporate training experience would be highly beneficial. The ideal candidate will demonstrate expertise in AI/ML frameworks such as TensorFlow, Keras, PyTorch, and Scikit-learn, along with a strong command over Python, NumPy, Pandas, and Jupyter Notebooks. Excellent communication and presentation skills, analytical thinking, and problem-solving abilities are key competencies required for this role. If you have a passion for teaching and mentoring future AI professionals, we encourage you to apply and be a part of our dynamic and innovative educational environment where you can shape the future of AI/ML professionals while engaging in real-world problem-solving and research-driven teaching. This position offers a competitive salary and benefits package, providing you with the opportunity to make a meaningful impact in the field of AI/ML.,

You will be joining Teacurry Teas as a Data Scientist in Ghaziabad on a full-time basis. Your role will involve analyzing and interpreting complex data sets, developing statistical models, and leveraging data analytics to drive strategic business decisions. On a daily basis, you will be responsible for tasks like data collection, processing, visualization, and providing valuable insights to enhance operational efficiency and product quality. To excel in this position, you should possess proficiency in Data Science and Statistics, along with hands-on experience in Data Analytics, Data Visualization, and Data Analysis. Strong analytical and problem-solving skills are essential, along with a good command of programming languages such as Python or R. Effective written and verbal communication skills are crucial for this role, as you will be collaborating with various teams. Prior experience in the tea or food industry would be advantageous. Ideally, you should hold a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field. Working effectively in a team environment and being able to apply your expertise to contribute to the organization's success are key aspects of this role. Join Teacurry Teas to be a part of a team dedicated to providing high-quality teas that offer both comfort and health benefits.,