5453 Data Science Jobs - Page 17

ROLES & RESPONSIBILITIES: Classroom Teaching and Facilitation of foundational subjects of Full-Stack Development or Data Science Entitled for the delivery and facilitation of programs like B.Tech - Full-Stack Development, BCA - Full-Stack Development Curriculum Content Creation Coordinating & conducting Workshops/Masterclasses in Full-Stack Development, Python Programming, Data Science, IOT, and the other relevant subject matter Mentoring and preparing students for Internships and Placements Adhering to Partnered University Norms of Examination, Evaluation and other Important academic administration Mentoring students for live projects, assignments, personal guidance, and counseling. Extending offline personal support to students for feedback and doubt resolution Maintaining class records and other relevant academic data Final student assessment and evaluating final scores/credit score and relevant submissions the University Liaison with Academic Head and Dean of partnered University. MUST HAVES: Committed to Mission and Values - Has a clear understanding of mission and values. Has a passion for facilitating learning and for enabling students to navigate their own learning journey Ethics and Integrity - Demonstrates integrity, ethical behavior and practices in all aspects of the role including relationships with students, colleagues and external entities Communicates effectively - Adapts oral and written communication approach and style to the audience and based on the message also listens attentively to others Responsive - Provides timely and substantive feedback. Always responsive to students unique learning paths Persuades - Conveys a point of view or argument in a way that stimulates thought and motivates the student or colleague to take action or consider an alternative Collaborative - Works cooperatively with others across the institution and beyond, including the Laureate network, the community and through partnerships. Represents own interests while being inclusive and fair to others Situational Adaptability - Recognizes and adapts to situations that call for different approaches to the facilitation of learning, influencing, relationship building and leading Being Resilient - Maintains a focused and optimistic disposition under pressure. Learns and grows from hardship experiences•Accountable - Takes personal responsibility for own goals and outcomes to ensure student success. Establishes clear expectations, follows through on commitments to students and holds them accountable for assignments and performance. Action Oriented - Takes on new opportunities and tough challenges with a sense of urgency, high energy and enthusiasm.

Job Summary : We invite applications from highly motivated and accomplished candidates for the positions of Professor, Associate Professor, and Assistant Professor in the following areas: Theoretical Computer Science Internet of Things Quantum Computing Blockchain Technology Information Security Cyber-Physical Systems Autonomous Drones AR/VR Machine Vision Game Programming Speech & NLP Web Application Security Cloud & Edge Computing Parallel Computing Human-Computer Interaction Role & responsibilities Deliver high-quality teaching and mentoring to undergraduate and postgraduate students in Computer Science and related specialized programs. Develop and update course content, learning materials, and assessment methods to ensure alignment with current academic and industry standards. Engage in cutting-edge research activities, including publishing in high-impact journals and securing research funding. Supervise student projects, theses, and research activities, fostering an environment of innovation and inquiry. Collaborate with industry partners and academic colleagues on research projects, consultancy, and technology transfer initiatives. Contribute to the development and enhancement of departmental academic programs and curricula. Participate actively in academic committees, faculty meetings, and university governance. Promote a culture of academic integrity, inclusiveness, and continuous learning among students and staff. Support and contribute to outreach activities such as workshops, seminars, and conferences. Pursue patents, consultancy, and other technology commercialization opportunities encouraged by the institution. Preferred candidate profile Ph.D. in a relevant area from reputed institutions (preference to candidates from top 200 ranked universities); candidates who have submitted their thesis are also encouraged to apply. At least one of B.Tech, M.Tech, or Ph.D. degrees should be in Computer Science and Engineering (CSE). Demonstrated teaching, industry, and/or research experience in reputed institutions. Minimum of 3 Q1 journal publications. Patents and consultancy experience are desirable. Strong hands-on research/project background.

Are you passionate about driving strategic business decisions , optimising operations , and leveraging automation to scale efficiency? Do you thrive in high-growth, data-driven environments where innovation and process excellence are key? If so, Tracxn is looking for a dynamic leader to join our team! Location : Bangalore, India Job Type : Full-time Work From Office About Tracxn Tracxn is a leading market intelligence platform, tracking the worlds most innovative startups and private companies. Our insights help top VCs, PE firms, and Fortune 500 companies make data-backed decisions. As we continue to expand, we are looking for a highly motivated AVP Business Strategy & Operations to drive operational excellence within our Data Team. Your Role & Impact As AVP Business Strategy and Operations (DATA) at Tracxn, you will play a critical role in driving data-led business strategies, optimizing large-scale data operations, and accelerating automation to enhance operational efficiency. This role requires a deep understanding of data management, workflow automation, and process excellence, coupled with strong business acumen to drive scalable and data-driven growth. You will collaborate with cross-functional teams to streamline data operations, introduce automation-led efficiencies, and optimize data processing models to support Tracxns business objectives. Business Strategy & Process Optimization Design and implement scalable business strategies to enhance operational efficiency and optimize large-scale data operations. Identify key process bottlenecks and develop strategies to reduce manual effort, ensuring faster and more accurate data processing. Streamline end-to-end data workflows, ensuring data quality, efficiency, and consistency across all operations. Work closely with leadership to align operational processes with business objectives, driving improved outcomes. Continuously monitor and optimize data processing workflows to support rapid scalability and business growth. Data Operations & Automation Strategy Lead large-scale data operations by designing automation frameworks to reduce human intervention and improve data processing efficiency. Build and optimize workflows that combine LLMs, APIs, scraping, and human supervision to extract, clean, enrich, and validate private company data. Collaborate with Tech, Product, and Data Science teams to introduce AI/ML-driven data collection, enrichment, and processing solutions. Implement workflow automation to streamline repetitive tasks and minimize manual dependencies. Enhance data processing accuracy and speed by integrating robust automation solutions into data operations. Ensure the development of scalable data operations models that can support business growth while minimizing operational costs. Data-Driven Decision Making & Insights Develop and implement real-time operational performance dashboards to monitor key data metrics, productivity, and output efficiency. Provide leadership with actionable insights for decision-making. Monitor data processing trends, workflow performance, and operational efficiency to identify areas of improvement. Collaborate with business, product, and technology teams to turn data insights into operational improvements that drive scalability. Ensure that measurable KPIs back all data operations and workflows to track effectiveness and continuous improvement. Automation & Technology Integration Partner with Tech and Product teams to drive AI-led automation solutions for data collection, processing, and enrichment. Optimize data pipelines by integrating data ingestion, processing, and delivery automation using scalable technologies. Identify and implement advanced workflow automation tools to reduce operational friction and boost productivity. Ensure seamless integration of data collection, enrichment, and delivery pipelines to support Tracxns data intelligence platform. Continuously evaluate and implement new-age technologies to optimize data operations and minimize turnaround times. Leadership & Cross-Functional Collaboration Lead and mentor a high-performance team focused on business strategy, data operations, and automation excellence. Drive close collaboration with Engineering, Product, and Sales teams to ensure seamless data flow and operational efficiency. Foster a culture of continuous improvement, operational excellence, and automation-first approach within the data operations team. Serve as a strategic advisor to the leadership team on optimizing data operations and driving business scalability. Promote cross-functional alignment to drive data-led business growth, process efficiency, and cost reduction. What Success Looks Like in This Role Achieving operational scalability by significantly reducing manual interventions through automation. Enhancing data processing accuracy, speed, and output quality to support business growth. Driving measurable improvements in data operations efficiency, process standardisation, and turnaround times. Collaborating with Tech, Product, and Business teams to deliver data-driven business insights that drive strategic growth. Establishing Tracxns data operations as a benchmark for efficiency, scalability, and process automation. What Were Looking For Up to 10 years of experience in business strategy, operations, or process automation. Strong understanding of how LLMs, NLP, scraping, and ML models can be applied to automate data workflows. Ability to drive scalable process improvements in a data-driven environment. Excellent problem-solving, analytical, and stakeholder management skills. Familiarity with data tools, automation platforms, and analytics dashboards (not mandatory but a plus). Why Join Tracxn? Lead strategic business initiatives in a high-impact, data-first organization. Drive automation and operational transformation at scale. Be part of a fast-growing, tech-driven company. Competitive compensation & fast career growth opportunities.

Primary Skills: Data Science, AI/ML, GenAI, LLM, NLP, Any Cloud (Azure/AWS/GCP) Roles & Responsibilities: Develop custom data models and algorithms to apply to data sets. Developing and implementing advanced machine learning models to address complex problems. Clearly communicate findings and recommendations, data-driven insights to PMs and executives. Qualifications: Bachelors/Masters degree in Computer Science, Engineering, or a related technical field with minimum 5 years' experience. Experience in performing prompt engineering and fine-tuning of the AI/ML, GenAI, LLM models. Practical hands-on fine-tuning/transfer learning/optimization of the Transformer architecture-based Deep Learning models. Experience in NLP tools such as Word2Vec, TextBlob, NLTK, SpaCy, Gensim, CoreNLP, BERT, GloVe etc. Experience in AWS / Azure / GCP cloud and deploying the APIs using the latest frameworks like FastAPI/ gRPC etc. Experience in Docker for deploying the containers. Deployment of the ML models on the Kubernetes clusters Experience in NoSQL/SQL databases. Good programming skills in Python. Domain knowledge in Online Reputation management or experience in a product-based company (added advantage). Expertise in delivering end-to-end analytical solutions covering multiple technologies & tools to multiple business problems.

Aptia is a dynamic player in the employee benefits and pensions administration services industry, with a vision to revolutionize the world of administration for the better. Serving 1,100 clients in the US and UK markets, Aptia is committed to supporting over seven million individuals in leading healthier and happier lives through shared services in India and Portugal. As we continue to grow, Aptia Group derives its strength not only from the support of our investors but also from our dedication to nurturing the growth and prosperity of our team members. We prioritize learning and development, offering extensive opportunities for professional advancement and fostering individual career trajectories. Specialist. Responsive. Thoughtful. These values define the essence of our organization. Our team embodies these principles daily, striving to exceed client expectations, adapt continuously, and cultivate authentic, enduring partnerships. If you aspire to be part of a dynamic sector that thrives on innovation, within a company culture that is agile and committed to investing in your professional growth, then this opportunity might be your ideal next career move. To apply for this role, we invite you to take the next step by submitting your resume along with relevant contact details. Your initiative in reaching out to us and expressing interest in joining our team is highly appreciated. We are dedicated to ensuring an inclusive recruitment process. If there are any accommodations or adjustments that would enhance your accessibility to the application process, we encourage you to connect with us.,

The internship at Cognologix offers a unique opportunity for AI enthusiasts with a keen interest in Generative AI and Computer Vision technologies to work on real-world projects and contribute to innovative solutions. As an AI Intern, you will collaborate with Data Science Engineers throughout the AI development lifecycle, from data preparation to model deployment. Your responsibilities will involve assisting in data collection, cleaning, preprocessing, and annotating datasets tailored for Generative AI and Computer Vision models. You will conduct experiments to test and fine-tune AI models, focusing on metrics relevant to generative and visual tasks. Additionally, you will stay updated on the latest advancements in Generative AI and Computer Vision, contribute to prototyping and implementation efforts, and assist in evaluating and fine-tuning Large Language Models and Diffusion Models. In the realm of Generative AI, you will explore techniques such as prompt engineering and Agentic workflows, and implement strategies to control generated content and ensure model safety. For Computer Vision solutions, you will contribute to the development of models for tasks like object detection, image segmentation, and facial recognition, among others. You will also work on data augmentation strategies and evaluate advanced image and video processing techniques. Maintaining clear documentation of experiments and collaborating with cross-functional teams will be essential aspects of your role. To qualify for this internship, you should have recently completed a Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or Machine Learning. Strong foundational knowledge of core AI and Machine Learning concepts, proficiency in programming languages like Python, and excellent analytical skills are required. A strong desire to learn, adapt, and contribute in a fast-paced, innovative environment is also crucial. Cognologix is a forward-thinking organization that helps companies disrupt and innovate like a Startup. By reimagining business models and focusing on digital disruption, we assist clients in meeting their strategic goals. As a data-focused company, we empower clients to deliver products efficiently and in a modern, cloud-native manner. This internship opportunity is ideal for individuals passionate about AI, eager to contribute to cutting-edge projects, and driven to make a meaningful impact in the field of Generative AI and Computer Vision.,

As a Data Scientist specializing in Multi-Touch Attribution (MTA) based in Bangalore (with 3 days of office work), you will play a crucial role in leading our MTA modeling efforts. Your primary responsibility will be to accurately measure the impact of various marketing channels and touchpoints on user conversions and business outcomes. This will involve collaborating closely with marketing, growth, and data engineering teams to develop attribution frameworks, optimize budgets, and enhance ROI measurement. Your key responsibilities will include developing and implementing algorithmic attribution models to quantify the impact of different marketing touchpoints. You will apply statistical, probabilistic, and machine learning methods to build MTA models that incorporate both online and offline signals. Working with large-scale marketing datasets, you will analyze impressions, clicks, conversions, and engagement metrics. Additionally, you will partner with marketing teams to enhance channel efficiency and campaign planning based on attribution insights. Model validations using holdout experiments and out-of-sample testing will be conducted to ensure reliability. You will also automate model scoring and reporting pipelines to provide real-time attribution visibility. Creating intuitive dashboards and documentation to effectively communicate findings and influence strategic decisions will be part of your role. The qualifications required for this role include a minimum of 3 years of experience in data science, marketing analytics, or attribution modeling. Strong hands-on experience with Python, SQL, and relevant data science libraries is essential. In-depth knowledge of MTA techniques such as logistic regression, Shapley values, Markov chains, or time decay is preferred. A solid understanding of digital marketing channels and customer journey analytics is necessary. Experience with model validation, experimentation design, and lift analysis is a plus. Strong problem-solving and communication skills, combined with a product mindset, are crucial for success in this role.,

The role of a Data Scientist, Risk Data Analytics at Fidelity International involves taking a leading role in developing Data Science and Advanced Analytics solutions for the business. This includes engaging with key stakeholders in the Global Risk Team to understand various subject areas such as Investment Risk, Non-Financial Risk, Enterprise Risk, Model Risk, and Enterprise Resilience. The Data Scientist will implement advanced analytics solutions on On-Premises/Cloud platforms, develop proof-of-concepts, and collaborate with internal and external teams to progress these concepts to production. Additionally, they will work on maximizing the adoption of Cloud Based advanced analytics solutions by building sandbox analytics environments and supporting delivered models and infrastructure on AWS. The Data Scientist will be responsible for developing and delivering Data Science solutions for the business, partnering with internal and external ecosystem to design and deliver advanced analytics-enabled solutions. They will create advanced analytics solutions on quantitative and text data using Artificial Intelligence, Machine Learning, and NLP techniques, as well as compelling visualizations for customer benefit. Stakeholder management is a key aspect of the role, involving working with Risk SMEs/Managers, stakeholders, and sponsors to understand business problems and translate them into appropriate analytics solutions. The Data Scientist will engage with key stakeholders for the smooth execution, delivery, implementation, and maintenance of solutions. Moreover, the Data Scientist will focus on the adoption of Cloud-enabled Data Science solutions by maximizing adoption of Cloud Based advanced analytics solutions, building sandbox analytics environments, and deploying solutions in production while adhering to best practices. Collaboration and Ownership are essential, which includes sharing knowledge and best practices with the team, providing mentoring, coaching, and consulting advice to staff, and taking complete independent ownership of projects and initiatives in the team with minimal support. The ideal candidate for this role should have a strong educational background with qualifications like an Engineer from IIT/Masters in a field related to Data Science/Economics/Mathematics/M.B.A from tier 1 institutions. They should have a minimum of 9 years of experience in Data Science and Analytics, with hands-on experience in Statistical Modelling, Machine Learning Techniques, Natural Language Processing, Deep Learning, and Python. The candidate should possess excellent problem-solving skills, the ability to run analytics applications, interpret statistical results, and implement models with clear measurable outcomes. Additionally, experience with SPARK/Hadoop/Big Data Platforms, unstructured data, big data, and primary market research is beneficial. Fidelity International offers a comprehensive benefits package, values employee wellbeing, supports development, and promotes flexible working arrangements. The organization is committed to making employees feel motivated by their work and happy to be part of the team. If you are looking to build your future in a dynamic and innovative environment, consider joining Fidelity International's Data Value team. Visit careers.fidelityinternational.com for more information on opportunities to be a part of the team.,

As a Snowflake Solution Architect, you will be responsible for owning and driving the development of Snowflake solutions and products as part of the COE. Your role will involve working with and guiding the team to build solutions using the latest innovations and features launched by Snowflake. Additionally, you will conduct sessions on the latest and upcoming launches of the Snowflake ecosystem and liaise with Snowflake Product and Engineering to stay ahead of new features, innovations, and updates. You will be expected to publish articles and architectures that can solve business problems for businesses. Furthermore, you will work on accelerators to demonstrate how Snowflake solutions and tools integrate and compare with other platforms such as AWS, Azure Fabric, and Databricks. In this role, you will lead the post-sales technical strategy and execution for high-priority Snowflake use cases across strategic customer accounts. You will also be responsible for triaging and resolving advanced, long-running customer issues while ensuring timely and clear communication. Developing and maintaining robust internal documentation, knowledge bases, and training materials to scale support efficiency will also be a part of your responsibilities. Additionally, you will support with enterprise-scale RFPs focused around Snowflake. To be successful in this role, you should have at least 8 years of industry experience, including a minimum of 3 years in a Snowflake consulting environment. You should possess experience in implementing and operating Snowflake-centric solutions and proficiency in implementing data security measures, access controls, and design specifically within the Snowflake platform. An understanding of the complete data analytics stack and workflow, from ETL to data platform design to BI and analytics tools is essential. Strong skills in databases, data warehouses, data processing, as well as extensive hands-on expertise with SQL and SQL analytics are required. Familiarity with data science concepts and Python is a strong advantage. Knowledge of Snowflake components such as Snowpipe, Query Parsing and Optimization, Snowpark, Snowflake ML, Authorization and Access control management, Metadata Management, Infrastructure Management & Auto-scaling, Snowflake Marketplace for datasets and applications, as well as DevOps & Orchestration tools like Airflow, dbt, and Jenkins is necessary. Possessing Snowflake certifications would be a good-to-have qualification. Strong communication and presentation skills are essential in this role as you will be required to engage with both technical and executive audiences. Moreover, you should be skilled in working collaboratively across engineering, product, and customer success teams. This position is open in all Xebia office locations including Pune, Bangalore, Gurugram, Hyderabad, Chennai, Bhopal, and Jaipur. If you meet the above requirements and are excited about this opportunity, please share your details here: [Apply Now](https://forms.office.com/e/LNuc2P3RAf),

The Data Engineering Technology Lead position is a senior role responsible for establishing and implementing new or revised data platform ecosystems and programs in coordination with the Technology team. Your primary objective is to lead the data engineering team in implementing business requirements. Your responsibilities will include designing, building, and maintaining batch or real-time data pipelines in the data platform, as well as optimizing the data infrastructure for accurate extraction, transformation, and loading of data from various sources. You will develop ETL processes to extract and manipulate data, automate data workflows, and prepare data in Data Warehouses for stakeholders. Collaboration with data scientists and functional leaders to deploy machine learning models and building data products for analytics teams will be essential. Ensuring data accuracy, integrity, privacy, security, and compliance through quality control procedures, monitoring data system performance, and implementing optimization strategies are also part of your role. You will partner with management teams to integrate functions, identify necessary system enhancements, and resolve high impact problems. In addition, you will provide expertise in applications programming, ensure application design aligns with architecture, and develop knowledge of integrating business areas to accomplish goals. Qualifications for this position include 12+ years of experience in a data engineering role, problem-solving skills, leadership abilities, service orientation, and the ability to work in a fast-paced environment. Proficiency in technical tools, interpersonal skills, and a Bachelor's/University degree (Master's preferred) are also required. The position encompasses two key responsibilities: 1. Data Engineering: - Building Data Pipelines: Creating systems for collecting, storing, and transforming data from various sources. - Data Collection and Management: Gathering data, ensuring quality, and making it accessible for analysis. - Data Transformation: Converting raw data into usable formats using ETL processes for analysis and reporting. 2. Data Governance and Compliance: - Documentation Data Lineage: Documenting data requirements for data governance within Citi Information Security Office. - Data Models and Flow Diagrams: Implementing data flow diagrams to understand data movement and conducting gap analysis for remediation. - Data Models Understanding: Translating business needs into logical and physical data models to ensure data integrity and consistency. - Data Analysis and Profiling: Analyzing data sources, identifying data issues, and ensuring data quality. This role falls under the Technology job family group and Applications Support job family, and it is a full-time position at Citi. If you need accommodations due to disability, refer to the Accessibility at Citi policy. Review Citis EEO Policy Statement and the Know Your Rights poster for further information.,

As a Data Science Analytics Specialist - Data Science at Accenture, you will be part of the Insights & Intelligence vertical, utilizing the latest Artificial Intelligence (AI) and Analytics techniques to deliver valuable insights to clients. Your expertise will be instrumental in building top-notch solutions, tackling business problems, and overcoming technical challenges using AI Platforms and technologies. By leveraging existing frameworks and standards, you will establish the architectural foundation and services essential for scalable AI applications, showcasing your expertise through active blogging, research paper publications, and creating awareness in this emerging field. Your role within the Data Science team will involve managing and analyzing data to develop data-driven business insights and impactful data models that drive significant business value. This includes creating models and processes to gather, distill, and interpret data to facilitate informed decision-making, as well as exploring data from various sources to uncover insights that can offer a competitive advantage to our clients. You will be at the forefront of an interdisciplinary domain focused on scientific methods, processes, and systems for deriving knowledge or insights from structured or unstructured data. We are seeking a Data Scientist with the following qualities: adaptability, flexibility, ability to perform under pressure, commitment to quality, dispute resolution skills, and meeting deadlines. It would be advantageous to have exposure to Cloud technologies. In this position, your responsibilities will include analyzing and solving moderately complex problems, potentially devising new solutions by adapting existing methods and procedures. Understanding the strategic direction set by senior management in alignment with team goals is crucial, with primary interaction directed towards your supervisor. You may also engage with peers or management levels at client sites or within Accenture. Guidance will be available when determining methods and procedures for new assignments, as decisions made by you can significantly impact the team's outcomes. Depending on the role, you may lead small teams or work efforts either at client locations or within Accenture. Please be aware that this role may involve working in rotational shifts.,

You are a talented and motivated Generative AI Data Scientist Lead sought by Accenture AI to join the Banking team. Leveraging your expertise in Generative AI models, Machine Learning, Data Analysis, and Cloud Platforms, you will drive and lead the development and delivery of innovative solutions to enhance AI capabilities. Collaborating with cross-functional teams, you will design, develop, and implement generative AI solutions to meet business needs. Your key responsibilities will include: - **Independent Project Leadership**: Taking ownership of end-to-end project delivery with minimal supervision. - **Pod Leadership**: Leading and mentoring a small development pod of data scientists and engineers to ensure collaboration and timely delivery of high-quality solutions. - **Model Development**: Designing, developing, and deploying state-of-the-art generative AI models for various applications. - **Strategy Development**: Providing strategic recommendations to clients on integrating generative AI into workflows. - **Ethical AI Practices**: Ensuring responsible use of generative AI by addressing biases and compliance with regulations. - **Performance Evaluation**: Developing metrics to assess generative models" performance. - **Collaboration**: Working closely with stakeholders to understand requirements and deliver impactful AI solutions. - **Research and Innovation**: Staying updated with advancements in generative AI and applying knowledge to improve models. - **Mentorship**: Guiding and mentoring junior team members to foster a culture of innovation and learning. You should possess: - **6+ years of experience** in Data Science, Machine Learning, or related fields with a focus on Generative AI models. - Proficiency in **Python programming** and experience with **machine learning frameworks** like TensorFlow, PyTorch. - Hands-on experience with **cloud platforms** (AWS, GCP, Azure) for deployment and solution building. - Ability to work with **Docker, Kubernetes, and API Development** for deploying generative AI models. - Strong analytical, problem-solving, and critical thinking skills. - Expertise in **ethical AI practices** and understanding of biases and regulations in Generative AI. - Excellent verbal and written communication skills to convey complex concepts clearly. Additional qualifications include experience in large-scale data processing, NLP, computer vision, contributions to open-source AI/ML projects, cloud integrations, and performance optimization. Leadership experience in guiding teams and managing AI projects is also desired. This position requires a **minimum of 6 years of experience** in Data Science, Machine Learning, or related fields, along with a **Masters or Ph.D.** in Computer Science, Data Science, Statistics, or a related field.,

At PwC, the focus in data and analytics is on leveraging data to drive insights and make informed business decisions. Advanced analytics techniques are utilized to help clients optimize operations and achieve strategic goals. As a Data Analyst at PwC, the emphasis is on utilizing advanced analytical techniques to extract insights from large datasets and facilitate data-driven decision-making. Skills in data manipulation, visualization, and statistical modeling are leveraged to assist clients in solving complex business problems. Candidates with 4+ years of hands-on experience are preferred for the role of GenAI Data Scientist at PwC US - Acceleration Center. The Senior Associate level position requires a highly skilled individual with a strong background in data science, particularly focusing on GenAI technologies. The ideal candidate should possess a solid understanding of statistical analysis, machine learning, data visualization, and application programming. Responsibilities include collaborating with product, engineering, and domain experts to identify high-impact GenAI opportunities, designing and building GenAI and Agentic AI solutions end-to-end, processing structured and unstructured data for LLM workflows, validating and evaluating models, containerizing and deploying production workloads, communicating findings and insights, and staying current with GenAI advancements. Requirements for this position include a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field, 1-2 years of hands-on experience delivering GenAI solutions, proficiency in Python with additional experience in R or Scala, experience with vector stores and search technologies, expertise in data preprocessing, feature engineering, and statistical experimentation, competence with cloud services across Azure, AWS, or Google Cloud, proficiency in data visualization, and strong problem-solving skills. Nice to have skills include relevant certifications in GenAI tools and technologies, hands-on experience with leading agent orchestration platforms, proven experience in chatbot design and development, practical knowledge of ML/DL frameworks, and proficiency in object-oriented programming with languages such as Java, C++, or C#. Candidates with a background in BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA or any related degree are encouraged to apply for this challenging role at PwC US - Acceleration Center.,

We are seeking a highly skilled Data Scientist to join our AI Center of Excellence (CoE) in Pune. In this role, you will work with complex financial datasets, develop machine learning models, and provide data-driven insights to support business decisions and product innovation. The ideal candidate will be hands-on, analytical, and dedicated to solving real-world problems using data. Required Skills & Experience: - 4-6 years of proven experience in Data Science, preferably in finance or FinTech. - Strong coding skills in Python, R, and SQL. - Experience with machine learning frameworks like Scikit-learn, TensorFlow, or PyTorch. - Solid foundation in statistical modeling, data analysis, and deep learning. - Familiarity with cloud platforms such as AWS, Azure, or GCP. - Proficiency in data visualization tools like Power BI, Tableau, or Matplotlib. - Excellent communication skills for presenting data-driven insights effectively. Preferred Qualifications: - Master's or Bachelor's degree in Data Science, Computer Science, Statistics, or related field. - Exposure to NLP, generative AI, or large language models. - Experience with MLOps practices for deploying and monitoring models. Key Responsibilities: - Analyze large-scale financial datasets to identify insights and trends. - Develop and deploy machine learning models for predictive analytics. - Translate business challenges into data science problems and propose solutions. - Collaborate with product and business teams to implement data-driven features. - Communicate analytical findings clearly through visualizations for non-technical stakeholders. - Explore and adopt emerging tools, techniques, and best practices in AI/ML continuously. This position is based in Pune and requires immediate joining. Hybrid or in-office availability is expected as per project requirements. GlobalLogic offers a culture of caring, learning and development opportunities, interesting & meaningful work, balance and flexibility, and a high-trust environment. We are committed to continuous growth and creating innovative solutions with our clients. Join us to be part of a global digital engineering partner known for impactful and cutting-edge solutions.,

You will be responsible for setting up and managing the computer lab at STEM.ai Labs. This includes handling hardware such as RasPi, routers, etc., software, cloud services, internet accessibility, power backup systems, and maintenance planning. Additionally, you will be involved in designing and delivering the ai.computing curriculum for students and conducting training programs for Technology Educators (TEs) or STEM Educators (SEs). Your role will also encompass MIS Data Insight Analytics, which involves tasks such as data capture through apps, data engineering, and data science. To excel in this position, you should have a deep understanding of RasPi systems, edge, on-prem and cloud computing, python programming, electric power back-up requirements, communications (offline and online), pedagogical principles, hardware maintenance, data security, machine learning, and connectivity. Job Requirements: - You should have 3-5 years of experience, preferably with some leadership experience. - Experience working with SOC systems, preferably Raspberry-Pi, is preferred. - Familiarity or experience with solar energy and Wi-Fi related engineering systems is beneficial. - Demonstrated experience in introducing new hardware and troubleshooting existing hardware. - Flexibility to travel to project locations is required for this role.,

Join us as a Decision Analyst at Barclays, where you will spearhead the evolution of the digital landscape, driving innovation and excellence. You will harness cutting-edge technology to revolutionize our digital offerings, ensuring unparalleled customer experiences. The BUK Decision and Analytics team exist to leverage the power of data, using advanced analytics and data science to deliver assets that drive the performance of the bank. This enables smarter, faster, and more proactive decision-making, transforming the lives of customers, colleagues, and communities while protecting the sustainable advantage our data creates. This team offers an opportunity to work directly with business heads and influence decision-making through the use of advanced analytics and data science to solve complex business problems. To be a successful Decision Analyst, you should have experience in data mining and building predictive & machine learning models using both structured and unstructured data. You should have an understanding of machine learning algorithms and their applications, as well as experience in the data science project lifecycle from use case framing to model building and deployment. Knowledge of Python & SQL is also required. Other highly valued skills may include strong communication skills, storytelling abilities, and problem-solving skills. The job location for this role is Noida. Purpose of the role: To extract meaningful insights from complex data sets, develop robust decision models, and present actionable recommendations to stakeholders across departments. Accountabilities: - Identification and extraction of relevant data from various internal and external sources. - Performing sensitivity analysis and scenario planning. - Monitoring and evaluating the performance of existing models. - Developing and implementing data quality control procedures. - Building and validating quantitative models to support decision-making across different business areas. Analyst Expectations: - Meet the needs of stakeholders/customers through specialist advice and support. - Perform prescribed activities in a timely manner and to a high standard. - Likely to have responsibility for specific processes within a team. - Lead and supervise a team, guiding and supporting professional development, allocating work requirements, and coordinating team resources. - For an individual contributor, manage own workload, take responsibility for the implementation of systems and processes within own work area, and participate in broader projects. - Execute work requirements, collaborate with closely related teams, and provide specialist advice and support pertaining to own work area. - Take ownership for managing risk and strengthening controls in relation to own work. - Continually build an understanding of how all teams contribute to broader sub-function objectives. - Develop awareness of underlying principles and concepts in the area of responsibility, building upon expertise. - Make judgements based on practice and previous experience. - Communicate sensitive or difficult information to customers. - Build relationships with stakeholders/customers to identify and address their needs. All colleagues are expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, as well as the Barclays Mindset of Empower, Challenge, and Drive.,

As a Data Science Analytics professional at Diverse Infotech Pvt. Ltd. in Gurgaon, you will need a minimum of 2 years of experience in the field. Your responsibilities will include leveraging data to extract valuable insights, creating statistical models, and developing machine learning algorithms. You will be working closely with cross-functional teams to solve complex business problems and drive data-driven decision-making. Additionally, you will be expected to stay updated on the latest trends and technologies in the field of data science to enhance the company's analytics capabilities. If you are a proactive individual with a passion for data analysis and problem-solving, this role offers an exciting opportunity to contribute to impactful projects and make a difference in the organization.,

You will be responsible for migrating data as part of the job role. Tredence is a data analytics company established in 2013, committed to converting data into valuable insights for more than 50 Fortune 500 clients across various industries. With our main office in San Jose and operations in 5 countries, we aim to become the leading analytics partner globally. At Tredence, we combine profound industry knowledge with cutting-edge AI and data science technologies to deliver exceptional business outcomes. We are thrilled to welcome you aboard as we embark on this groundbreaking analytics expedition.,

The Senior Data Scientist role in the S&C Global Network - AI - Hi Tech focuses on driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. As a skilled and experienced professional, you will provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. Your responsibilities will include developing and implementing AI models and GenAI applications in industries such as semiconductors, enterprise technology, consumer technology, and medical technology. You will collaborate with cross-functional teams to gather requirements, design solutions, and deploy models into production environments. Additionally, you will stay updated on emerging technologies and industry trends to contribute to continuous improvement initiatives within the organization. As a Senior Data Scientist, you will lead the design and delivery of client projects, focusing on areas such as marketing & consumer analytics, predictive asset maintenance, production optimization, supply chain, sales & channel partner program analytics, and connected products. Your role will involve creating industry-leading points-of-view in client domains to position the organization as a value partner. You will design and implement GenAI based solutions through contextual prompt engineering and prompt tuning, supporting solution architects on the design of GenAI-powered solutions/assets. Utilizing your expertise in PLM/ERP/CRM/Contact Center systems, you will integrate data sources and ensure seamless operation of AI solutions. Proficiency in Python programming, with experience in NLP and Computer Vision techniques, is essential for developing machine learning models. You will architect functional solutions, provide technical guidance to enhance the performance and scalability of AI systems, and leverage cloud platforms such as Azure/GCP and AWS. The ideal candidate for this role should possess relevant experience in the required domain, strong analytical and problem-solving skills, and the ability to work in a fast-paced, dynamic environment. A proven track record of developing AI models in various areas, proficiency in Python programming with NLP and Computer Vision experience, exposure to PLM/ERP/CRM systems, and familiarity with cloud platforms are key qualifications for this position. Knowledge of LLM exposure and experience with tools like ChatGPT, Llama 2, Claude 2, Hugging Face, etc., for prompt engineering and tuning will be advantageous. This role offers the opportunity to work on innovative projects and provides avenues for career growth and leadership exposure within Accenture. If you have a minimum of 5 to 8 years of experience and at least 15 years of education, we invite you to join our Hi-Tech practice in Bengaluru and contribute to driving impactful solutions in the AI domain.,

Manager, Software Engineering - Data Engineering and Data Science As a Manager of Software Engineering with a focus on Data Engineering and Data Science, you will be instrumental in shaping and expanding our Authentication Program. Your primary role will involve ensuring the integrity and excellence of our data and enabling our teams to operate efficiently. Leading a team of skilled engineers, you will drive innovation, oversee the successful execution of impactful projects, and contribute significantly to our organization's growth and success. Your responsibilities will include: - Leading the development and deployment of scalable data engineering and data science solutions to support the Authentication Program. - Ensuring the accuracy, quality, and reliability of data across all systems and processes. - Mentoring and providing technical guidance to a team of engineers and data scientists. - Making strategic decisions and delivering innovative solutions in collaboration with cross-functional teams. - Collaborating with product stakeholders to prioritize initiatives and align them with business objectives. - Establishing and managing data pipelines to ensure efficient and accurate data processing. - Implementing and advocating best practices in data engineering, data science, and software development. - Automating and streamlining data processing workflows and development processes. - Conducting Proof of Concepts (POCs) to assess and introduce new technologies. - Participating in Agile ceremonies, contributing to team prioritization and planning. - Developing and presenting roadmaps and proposals to Senior Management and stakeholders. - Cultivating a culture of continuous improvement and excellence within the team. Qualifications: Technical Expertise: - Proficiency in Data Engineering, Data Science, or related areas. - Competence in programming languages like Python, Java, or Scala. - Hands-on experience with data processing frameworks. - Knowledge of data warehousing solutions. - Proficiency in data modeling, ETL processes, and data pipeline orchestration. - Familiarity with machine learning frameworks and libraries. - Understanding of secure coding practices and data privacy regulations. Leadership and Communication: - Demonstrated leadership in managing technical teams. - Strong problem-solving and decision-making abilities. - Excellent written and verbal communication skills. - Effective collaboration with cross-functional teams and stakeholders. - Experience in Agile methodologies and project management. Preferred Qualifications: - Degree in Computer Science, Data Science, Engineering, or related fields. - Experience with streaming data platforms. - Familiarity with data visualization tools. - Experience with CI/CD pipelines and DevOps practices. If you require accommodations or assistance during the application process or recruitment in the US or Canada, please contact reasonable_accommodation@mastercard.com. Join us in a culture that values innovation, collaboration, and excellence. Apply now to contribute to shaping the future of our Authentication Program and maintaining the highest quality of our data.,

The required position is for a "Data Analytics Faculty" who should have hands-on experience in Python, SQL, and Data Analytics. The ideal candidate should also have exposure to Python, data analytics, data science, machine learning, deep learning, Power BI, and Tableau. The candidate should be capable of teaching both students and working professionals. The candidate should possess 1-2 years of training or development experience, coupled with good communication skills. The job location is in Gomtinagar, Lucknow, and the job offers both part-time and full-time options. Immediate joining is required. Interested candidates can send their resumes to Priya Singh at +91 9919452020. The job types include full-time and part-time. The benefits include leave encashment, and the schedule follows a fixed shift with a yearly bonus. The preferred education qualification is a Master's degree. The desired experience includes 2 years in data analytics and a total of 3 years of work experience. The work location is in person.,

Job Description: We are a forward-looking organization with talented professional staff specializing in clinical research, medical writing, IT services, data science, and software development. Our experts are dedicated to understanding and prioritizing your goals while staying abreast of current business trends. Through our expertise, we drive cost efficiency to benefit our clients. At our core, we value flexibility, innovation, reliability, and passion. We are honored to have a team of skilled individuals who consistently put forth selfless efforts and dedication to provide our clients with exceptional services. Their commitment has contributed to our reputation as a renowned incorporation. We are motivated by the trust and confidence in our mutually beneficial relationships with customers, aiming to reach unprecedented heights together. As a Data Science Intern, your key responsibilities will include supporting statistical programming activities for clinical development projects, conducting data manipulation, analysis, and reporting of clinical trial data using SAS programming, and collaborating efficiently in cross-functional, multi-cultural, and international clinical trial teams. To qualify for this role, you should have a Bachelor's or Master's degree in Statistics, Mathematics, or Computer Science, along with experience in SAS/R/Python/Tableau/Oracle DB. A strong programming background, excellent analytical skills, and troubleshooting abilities are essential for success in this position. If you are passionate about data science and eager to contribute to impactful projects, we invite you to collaborate with us. Please send your CV to hr@medtek.ai to explore this exciting opportunity.,

The ideal candidate for this position should possess expertise in Core Python and have hands-on experience with Web Frameworks such as Django, Flask, or FastAPI. You should have strong analytical skills and a good understanding of SQL & RDBMS. Proficiency in code versioning tools is also required for this role. You must be able to work collaboratively on projects while also being capable of working independently when necessary. The ability to integrate multiple data sources into a single system is essential for this position. Experience in designing and developing RESTful APIs is a must-have for this role. You should be self-driven, result-oriented, and possess basic knowledge of AI, ML, and Data Science. As a part of the team, you should be a team player who is confident, decisive, enthusiastic, and flexible.,

Tezo is a new generation Digital & AI solutions provider, renowned for delivering exceptional outcomes to customers through cutting-edge analytics, data proficiency, technology, and digital excellence. We are currently looking for a highly experienced and dynamic Practice Head in Data Science & AI to spearhead our data practice in Hyderabad. This role is tailored for a technology leader well-versed in Data Science, Artificial Intelligence (AI), and Machine Learning (ML), with a track record of building and expanding data practices. The ideal candidate should possess strong business acumen, experience in solution selling, and pre-sales expertise. As the Practice Head in Data Science & AI at Tezo, you will have the following key responsibilities: Leadership & Strategy: - Create and execute the strategic vision for the Data Science and AI practice. - Form and lead a high-performing team comprising data scientists, ML engineers, and AI experts. - Collaborate with various teams to embed data-driven solutions within broader business strategies. Technical Expertise: - Oversee the design and implementation of advanced AI/ML solutions across diverse domains. - Stay updated on industry trends, emerging technologies, and best practices in AI, ML, and data science. - Offer technical guidance and hands-on support for key initiatives. Practice Development: - Establish frameworks, methodologies, and best practices to enhance the scalability of the data science practice. - Define and deploy reusable components, accelerators, and IPs to streamline solution delivery. Client Engagement & Pre-Sales: - Assist in business development by collaborating with sales teams to identify opportunities, craft proposals, and deliver presentations. - Engage in solution selling by tailoring AI/ML-based solutions to meet client requirements. - Cultivate strong client relationships and serve as a trusted advisor on their data journey. Required Skills & Experience: - Minimum of 12 years of experience, with at least 5 years in leading data science/AI teams. - Demonstrated expertise in establishing or leading data science or AI practices. - Strong technical background in AI, ML, NLP, predictive analytics, and data engineering. - Proficiency with tools and platforms such as Python, R, TensorFlow, PyTorch, Azure ML, AWS SageMaker, among others. - Sound understanding of data strategy, governance, and architecture. - Proven track record in solutioning and pre-sales engagements. - Excellent communication, leadership, and stakeholder management skills.,

As a Content Strategist at our company based in Banglore, KA, India, you will play a crucial role in developing user-friendly, SEO-optimized content for a diverse audience. Your responsibilities will include creating engaging visual presentations and videos, collaborating with subject matter experts, and updating existing content. You will also be tasked with identifying impactful video topics for our YouTube channel to drive revenue. To excel in this role, you must possess strong written and verbal communication skills in English and have a knack for simplifying complex concepts. Your expertise in content strategy and marketing will be essential in driving our marketing efforts and engaging with our YouTube community. Proficiency in YouTube analytics, Content Management Systems, and SEO tools is preferred. In addition to your content creation duties, you will be responsible for analyzing performance metrics, managing multiple projects, and ensuring quality and design consistency. Your passion for technology, including Cloud, DevOps, Data Science, and programming languages such as Java, Python, Scala, or Web Development, will be advantageous. This position offers the opportunity to work from our office with a standard 5-day work week. If you are a creative thinker with a commitment to innovation and quality, we invite you to join our team and contribute to the growth of our content marketing channels.,