3811 Data Science Jobs - Page 24

0px> Who are we Amdocs helps those who build the future to make it amazing. With our market-leading portfolio of software products and services, we unlock our customers innovative potential, empowering them to provide next-generation communication and media experiences for both the individual end user and enterprise customers. Our employees around the globe are here to accelerate service providers migration to the cloud, enable them to differentiate in the 5G era, and digitalize and automate their operations. Listed on the NASDAQ Global Select Market, Amdocs had revenue of $5. 00 billion in fiscal 2024. For more information, visit www. amdocs. com In one sentence We are looking for a strong, hands-on Data Scientist to join a cutting-edge AI and GenAI initiatives at Amdocs Services CTO. In this role, you ll be part of a growing data science team working on advanced AI/GenAI technologies, leveraging vast amounts of data and state-of-the-art machine learning techniques to help protect users on a global scale. This is a unique opportunity to join a high-impact, research-driven environment, where you will have the chance to shape core components of a next-generation services solutions. What will your job look like Research and develop innovative AI-powered capabilities. Rapidly prototype and iterate based on data insights and user feedback. Design and build data-driven solutions with a strong emphasis on practical impact and performance. Collaborate closely with Product, analysts, and engineers to deliver production-grade machine learning models. Work across organizational boundaries to bring solutions from concept to large-scale deployment, considering system constraints and integration challenges. All you need is. . . At least 4+ years of relevant experience and track record in Data Science: Machine Learning, Deep Learning and Statistical Data Analysis. MSc or PhD degree in CS or Mathematics, Bioinformatics, Statistics, Engineering, Physics or similar discipline. Strong hands-on experience in Python with the focus being on statistical algorithms development and GenAI practices. Experience with data science libraries such as: sklearn, pandas, numpy, pytorch/tensorflow Experience with GenAI concepts (RAG, LLM) and Agentical development: from conversional to autonomous agents Team player, able to work in collaboration with subject matter experts, with ability to clearly present and communicate findings. Proven ability to build and deliver data solutions in a short time frame. Experience with Azure, docker, and development methodologies - an advantage Proven experiences in productions and DevOPS practices Why you will love this job: You will ensure timely resolution or critical issue within the agreed SLA. This includes creating a positive customer support experience and build strong relationships through problem understanding, presenting promptly on progress, and handling customers with a professional demeanour. You will be able to demonstrates an understanding of key business drivers and ensures strategic directions are followed and the organization succeeds We are a dynamic, multi-cultural organization that constantly innovates and empowers our employees to grow. Our people our passionate, daring, and phenomenal teammates that stand by each other with a dedication to creating a diverse, inclusive workplace! We offer a wide range of stellar benefits including health, dental, vision, and life insurance as well as paid time off, sick time, and parental leave!

Prompt Engineer: Key Responsibilities: Develop, test, and refine prompts for AI language models to ensure high-quality outputs. Collaborate with data scientists, engineers, and product teams to align prompts with user needs and business objectives. Analyze prompt performance and user interactions to identify areas for improvement. Conduct experiments to evaluate the effectiveness of different prompt strategies. Stay informed about advancements in AI and NLP to implement best practices in prompt development. Qualifications: Bachelors degree in Computer Science, Linguistics, Data Science, or a related field; Master’s degree is a plus. Experience in prompt development or a related role involving AI language models. Strong understanding of natural language processing and machine learning principles. Proficiency in programming languages such as Python, and familiarity with AI frameworks (e.g., TensorFlow, PyTorch). Excellent analytical skills and attention to detail. Strong communication skills and ability to work effectively in a team environment. Preferred Skills: Experience with large language models (LLMs) and their applications. Knowledge of user experience (UX) design principles. Familiarity with data analysis tools and techniques.

Position Overview: We are seeking an accomplished academic leader with a passion for technology and innovation to join us as the Dean Computer Applications . This role offers a unique opportunity to lead the School of Computer Applications and shape the future of programs such as BCA, MCA , and emerging interdisciplinary tech domains like AI, Data Science, Cybersecurity, and Cloud Computing . The ideal candidate will drive academic excellence, foster cutting-edge research, enhance industry collaborations, and contribute to the global positioning of the department. Key Responsibilities: Lead strategic initiatives and academic planning for the Department of Computer Applications. Oversee curriculum innovation in BCA, MCA, and tech-driven specializations aligned with NEP 2020 and OBE. Encourage faculty research, mentorship, and capacity building. Drive institutional accreditation processes (NAAC, NBA) and regulatory compliance (AICTE, UGC). Build strong industry partnerships for internships, placements, live projects, and faculty exchange. Guide digital transformation, tech-enabled pedagogy, and project-based learning. Promote entrepreneurship, innovation, and incubation through active student engagement. Facilitate international collaborations, student/faculty mobility, and global academic exposure. Supervise academic operations, resource management, and faculty recruitment. Ensure student success, including academic advising, performance tracking, and grievance redressal. Skills and Competencies: Deep knowledge of Computer Applications, Software Development, and Emerging Technologies. Strong leadership and team management skills in an academic setup. Hands-on experience with academic audits, accreditations, and ERP/academic systems. Excellent research credentials with publications/patents in reputed tech high impact journals (SCI/SCOPUS/WoS). Ability to build industry-relevant curriculum, foster collaborations, and adapt to tech trends. Qualifications: Essential: Ph.D. in Computer Applications/Computer Science/IT or a related field. MCA or M.Tech (CS/IT) with consistently good academic records. Minimum 20 years of academic experience with at least 5 years in a leadership role such as Professor, Head, or Dean. Experience in managing UG and PG programs in Computer Applications and building high-performing academic teams. Desirable: Certifications or training in AI, Data Science, Cybersecurity, Cloud, or other niche technologies. Member of professional bodies like CSI, ACM, IEEE, etc. Experience in MoUs, consultancy, funding projects, and national/international rankings. Involvement in innovation cells, startup ecosystems, or Centers of Excellence (CoEs). Interested candidates may apply at umang.hr@cgc.ac.in or can contact at 8360367050

Key Responsibilities: Machine Learning (ML): Design, build, and deploy ML pipelines for structured and unstructured data. Conduct feature engineering, model selection, and hyperparameter tuning. Evaluate model performance using industry-standard metrics and improve accuracy. Collaborate with data engineering teams to ensure clean and accessible data for model training. Apply supervised, unsupervised, and reinforcement learning techniques as per use case. Natural Language Processing (NLP): Develop NLP pipelines for text classification, sentiment analysis, entity recognition, summarization, etc. Leverage libraries like spaCy, NLTK, Hugging Face Transformers, and Gensim. Preprocess and tokenize large corpora using advanced NLP methods. Implement solutions for multi-lingual, domain-specific text data challenges. Integrate NLP services with applications or workflows. Large Language Models (LLM): Fine-tune and deploy LLMs (e.g., GPT, LLaMA, BERT, Falcon, Mistral) on custom datasets. Use prompt engineering and retrieval augmented generation (RAG) to build intelligent systems. Optimize inference performance and latency for production-level deployment. Stay updated with the latest in GenAI, foundation models, and transformer architectures. Work on use cases like chatbots, question answering, summarization, content generation, and semantic search.

About company At Acoem, we create environments of possibility by: helping organizations find the right balance between progress and preservation, safeguarding businesses and assets, and maximizing opportunities while conserving the planets resources deliver unrivalled, interoperable AI-powered sensors and ecosystems that empower our customers to make enlightened decisions based on accurate information. Together with 150 distributors, our 800+ employees work across 26 offices, 5 manufacturing facilities and 3 R&D centers in 11 countries to provide trusted, holistic data solutions for customers worldwide. Roles & Responsibilities: Validate and analyze air quality data, identifying and correcting errors to maintain data integrity. Organize data in clear, structured formats and prepare detailed analytical reports for stakeholders. Use statistical tools to identify patterns, trends, and local influences in complex datasets to support decision-making. Provide data-related support to station operators and engineers, coordinating with staff to resolve technical and reporting issues. Ensure compliance with Acoem-Ecotechs quality standards, safety protocols, and documentation requirements. Contribute to team development, uphold professional conduct, and actively support a collaborative and safe working environment. Preferred candidate profile : Proven experience in a Data analysis, preferred environment field. Experience of engaging with customers in a pressured environment. Proficiency in Excel,Word, and able to learn new software.

About Opportunity: Kasmo is seeking a skilled and forward-thinking Data Science Manager with deep expertise in Snowflake AI/ML technologies, including Snowflake Cortex, ML development tools, and Generative AI, to join our team in Hyderabad, India. As a key leader in our clients Data Science and Machine Learning team, you will leverage the full suite of Snowflake's AI/ML and Cortex capabilities to develop, deploy, and manage cutting-edge machine learning solutions and drive AI-powered business transformation. Primary Roles & Responsibilities: Collaborate with business stakeholders, data engineers, and analysts to understand use cases and deliver scalable ML and AI solutions using Snowflake. Build and deploy machine learning models using Snowflake ML tools, including ML Functions, Snowpark ML Development, and ML Jobs. Harness the power of Snowflake Cortex, including: AISQL: Automatically generate and optimize SQL queries using natural language input. Snowflake Copilot: Collaboratively build and refine SQL queries with LLM-powered assistance. Document AI: Extract insights from unstructured documents such as PDFs and Word files. Cortex Fine-tuning: Customize LLMs for specific business or domain needs. Cortex Search: Implement AI-driven question-answering systems over document repositories. Cortex Analyst: Translate natural language into powerful, production-ready SQL. Use Snowflake ML Ops for managing the full ML lifecycle: Register and deploy models via Model Registry Leverage Feature Store and Datasets for consistent, reusable ML features and versioned data Run scalable training/inference pipelines using Container Runtime and manage compute environments within Snowflake Notebooks Ensure model robustness through ML Observability and Explainability tools and track end-to-end provenance with ML Lineage. Stay ahead of industry trends and Snowflake platform updates to introduce new capabilities and best practices to the team. Required Skills Bachelors or masters degree in computer science, Data Science, Engineering, or a related field. 5+ years of experience in Data Science or Machine Learning roles, with proven success delivering production ML models. Strong hands-on experience with Snowflake, especially its advanced AI/ML features and the Snowflake Cortex ecosystem. Proficiency in ML frameworks such as scikit-learn, XGBoost, or LightGBM via Snowpark ML or Snowflake's Python SDKs. Familiarity with building end-to-end ML pipelines, deploying models, and managing them through MLOps processes. Solid understanding of LLMs, GenAI tools, and how to apply them to real-world business problems. Experience working with large-scale structured and unstructured data. Excellent communication and collaboration skills in a remote-first team environment.

Written & Verbal ( Strong Communication ) Strong knowledge of data analytical tools Preferred Female candidate. Department- Business Analyst Reports to- COO Strong PowerPoint skill Program Management Costing Qualification- BE/B-tech /M- Tech/MS Required Candidate profile Strong PowerPoint skill, Data Modelling, advances analysis tools, Power BI, very advance Excel

Job Overview: Role : LLM Scientist Experience : 5+ years Company : Pranatree Location : Bangalore Job type : Hybrid(Contractual ) Key Responsibilities LLM Fine-Tuning and Development: Research, fine-tune, and deploy LLMs, optimizing their capabilities to solve diverse AI problems. Generative AI Solutions: Leverage advanced AI and machine learning techniques to build prototypes and production-grade solutions for various use cases. RAG Pipelines: Design and implement Retrieval-Augmented Generation pipelines to improve the accuracy and relevance of AI outputs. Prototyping: Build and demonstrate working prototypes using frameworks such as Streamlit or Dash. Algorithm and Data Structures Expertise: Apply strong knowledge of algorithms and data structures to parse and process unstructured data effectively. System Performance and Debugging: Profile, debug, and optimize machine learning systems for scalability and performance in large-scale environments. Collaboration and Problem Solving: Work collaboratively with data scientists, engineers, and cross-functional teams to solve unstructured, complex problems using AI. Communication: Communicate technical concepts and project updates clearly and effectively to stakeholders. Qualifications and Requirements Education: Bachelors degree in Computer Science, Information Technology, or a related field (or equivalent work experience). Experience: Minimum of 5 years of experience in software development, including relevant work in AI and machine learning. Technical Skills: Programming Proficiency: Strong coding skills in Python, Java, or C++. Data Science and AI: Solid foundation in data science and experience with Generative AI. LLM Expertise: Experience with fine-tuning large language models and familiarity with RAG pipelines. Frameworks for Prototyping: Proficiency in building prototypes using Streamlit, Dash, or similar app frameworks. Algorithms and Data Structures: Strong background in algorithms, data structures, and parsing unstructured data. System Performance: Experience with profiling, debugging, and ensuring the scalability of machine learning systems. Preferred Experience: Hands-on experience with Generative AI and fine-tuning LLMs. Soft Skills: Strong communication skills to convey complex technical ideas. Problem-solving ability, especially in unstructured and ambiguous scenarios. Performance Expectations Develop and fine-tune LLMs for various applications, ensuring high performance and reliability. Design and deploy prototypes that showcase practical uses of LLMs and Generative AI. Collaborate effectively within a multidisciplinary team to develop innovative AI-driven solutions. Ensure scalable and high-performance AI systems through effective profiling and debugging practices. Maintain clear documentation and provide regular updates to team members and stakeholders. Location: Bangalore preferred.

Conducting classroom Training on programming skills Creating a positive and engaging learning environment A passion for teaching and helping students achieve their career goals Strong knowledge of SQL. Python, Data Science, ML, DL, NLP, Power Bi

Job Title: Data Scientist Location: Sector V, Salt Lake, Kolkata (3 days WFO , 2 days WFH) Notice: Maximum 15 days (Immediate Joinees Preferred) Education Requirements: Full-time Masters degree in Computer Science, AI/ML, Data Science, Statistics, or Mathematics from a reputed institution. PhD preferred (Not Mandatory) Experience: Minimum 3 years of relevant industry or research experience (for Masters) 1 to 2 years for PhD holders Key Skills: Strong knowledge of Data Structures and Algorithms Advanced programming skills in Python ( Mandatory ) Working knowledge of C++ ( Good to have ) Hands-on experience with AI/ML, Deep Learning (CNN, RNN), LLMs, classification, clustering Good understanding of algorithm design and development Familiarity with reinforcement learning, computer vision, or NLP is an advantage Job Responsibilities: Design and develop robust AI/ML algorithms to solve complex technical problems Build, test, and optimize ML models for high performance Prepare clear documentation and present technical work to stakeholders Work in a collaborative team for integration, productisation, and deployment Stay updated with latest AI/ML trends and contribute new ideas Good to Have: 4G/ 5G Domain Experience Knowledge of Cloud Research publications, patents, or open-source contributions

Staff Engineer/Tech Lead AI/ML [ Natural Language Processing, Transformers, Gen AI, LLM, Neural Networks] The Opportunity As a Staff Engineer (MTS-6) , you will own the architecture and AI/ML systems that power both log and metrics analysis , enabling automated diagnostics and reducing triage time for QA failures, regression runs, and customer issues. Youll also help define and drive the central AI charter at Nutanix, building reusable components, model infrastructure, and scalable ML services. About the Team The Panacea team has a passionate set of engineers across India and US office. We move fast, collaborate closely, and care deeply about quality and ownership. Our mission is to deliver AI/ML-powered developer productivity tools that solve real engineering and support pain points at scale. Why Join Us Build AI-first observability tools that redefine how engineers triage and troubleshoot. Own systems that reduce hours of manual work in engineering and SRE workflows . Collaborate with a tight-knit team of high-ownership engineers who are passionate about impact and innovation. Hybrid work model that supports flexibility and deep focus. Help shape the central AI charter at Nutanix and influence future AI products across the company. Your Role AI-Powered Observability Platform : Own the vision, architecture, and delivery of Panaceas ML-based log and metrics analyzer that reduces triage time and improves engineering efficiency. AI/ML-powered Log Analyzer Tool : Use deep learning (e.g., ModernBERT ) to represent log messages, detect anomalies, group patterns, and surface actionable insights to users. Metrics Anomaly Detection Engine : Build robust ML models to detect anomalies in time-series metrics like CPU, memory, disk I/O, network traffic, service health , and moreautomatically identifying performance degradation or system regressions across distributed environments. Auto-RCA Engine : Combine log and metrics signals with graph-based correlation and LLM-powered summarization to automatically diagnose the root cause of system failures. Feedback Loop & Continuous Learning : Build infrastructure for incorporating user feedback to continuously retrain and improve anomaly detection systems. LLM Integration : Integrate LLMs for user queries, problem summarization, anomaly explanation, and contextual recommendations. Central AI Charter : Contribute to Nutanixs foundational AI platform by defining shared tooling, datasets, governance, and reusable ML components across products. Responsibilities Architect and scale ML pipelines for real-time and batch-based anomaly detection in both logs and time-series metrics. Build and fine-tune ModernBERT and other transformer-based models for log understanding, anomaly classification, and summarization. Develop unsupervised and semi-supervised ML models for detecting anomalies in system metrics (CPU, memory, network throughput, latency, etc.). Implement correlation models to connect anomalies across logs and metrics to form a cohesive RCA narrative. Own the entire ML lifecycle: data ingestion, feature extraction, model training, evaluation, deployment, and monitoring. Build explainable AI systems that increase adoption and trust within engineering, QA, and support teams. Collaborate with cross-functional stakeholders (SRE, QA, Dev) to deeply understand pain points and translate them into intelligent tooling. Drive technical excellence through code and design reviews, mentoring, and setting engineering best practices. What You Will Bring Educational Background : B.Tech/M.Tech in Computer Science, Machine Learning, AI, or related fields. Experience : 12+ years of engineering experience , including designing , developing and deploying AI/ML systems at scale. ML Expertise : Strong in time-series anomaly detection, statistical modeling, supervised/unsupervised learning. Experience building ML models for metrics data (CPU, memory, IOPS, network, etc.) using models like Isolation Forest, Prophet, LSTM, or deep autoencoders. Expertise in NLP using ModernBERT, BERT, or log classification, clustering, and summarization. Experience with LLMs for downstream tasks like summarization, root cause reasoning, or intelligent Q&A. Engineering Skills : Strong Python background, hands-on with ML libraries (PyTorch, TensorFlow, Scikit-learn), time-series frameworks, and MLOps tools. Familiar with data pipelines and serving models. Observability Knowledge : Hands-on with logs, metrics, traces, and popular monitoring tools (e.g., Prometheus, Grafana, ELK). Leadership : Ability to independently drive projects from requirements to delivery, mentor junior engineers, and deliver business impact. Work Arrangement Hybrid: This role operates in a hybrid capacity, blending the benefits of remote work with the advantages of in-person collaboration. For most roles, that will mean coming into an office a minimum of 2 - 3 days per week, however certain roles and/or teams may require more frequent in-office presence. Additional team-specific guidance and norms will be provided by your manager.

Bumppy Media Pvt Ltd is looking for Data Scientist to join our dynamic team and embark on a rewarding career journey Undertaking data collection, preprocessing and analysis Building models to address business problems Presenting information using data visualization techniques Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams

IT Education Centre is looking for Data Science Trainer to join our dynamic team and embark on a rewarding career journey Curriculum Development: Designing and creating training programs or courses covering a wide range of data science concepts and tools, tailored for different skill levels, from beginners to advanced learners Instruction and Delivery: Conducting training sessions, workshops, or classes to teach data science methodologies, tools, and best practices This involves explaining complex concepts in an understandable manner and using practical examples and exercises Material Creation: Developing educational materials, including presentations, slides, handouts, coding exercises, and datasets, to support the learning process Hands-on Practice: Providing opportunities for students to apply theoretical concepts through hands-on projects or real-world case studies, enabling them to gain practical experience Mentoring and Support: Offering guidance, feedback, and support to students or trainees throughout their learning journey, helping them overcome challenges and advance their skills Staying Updated: Keeping abreast of the latest trends, tools, and techniques in data science and integrating new developments into training materials and curriculum Assessment and Evaluation: Assessing the progress of trainees through assignments, tests, or projects, and providing constructive feedback to help them improve Engagement and Collaboration: Collaborating with other trainers, educators, or professionals in the field to exchange knowledge, share resources, and enhance training methodologies

Data Scientist Are you innovative, a quick-thinker, and eager to learn more about whats happening in the industry? Are your user experience design skills amongst the best, and you have a knack for making the most complex things clear? Then this role is for you. Customer & Marketing is creating a new model for the new age—we’re a digital consulting agency. We bring together creative and technology capabilities, business acumen, and industry insights, and help our clients bring a new business vision to life. Work You’ll Do Practitioners will integrate and learn from talented colleagues who have focused on core domains that we may not have had visibility into. Our move towards integrated solutions demands that everyone adopt a growth mindset and invest in expanding their understanding of what we bring to the marketplace. Practitioners will be able to develop skills in a Portfolio that represents the unification of the some of the most diverse, globally recognized brands and businesses in the organization—an exciting opportunity for their career development. Must have excellent communication and interpersonal skills. Job Location – HYD/BLR The Team The Customer & Marketing Offering Portfolio integrates our most differentiated, globally recognized customer and marketing businesses. It focuses on owning the commercial agenda through growth strategy, enhanced user experiences, and engagement through the entire customer lifecycle. From our core strengths in creative design, to strategy, platforms and solutions, as well as our continued growth through acquisitions, we are specifically positioned to bring fully integrated solutions to our clients. We are all consumers and personal marketers. This reality is what makes the Customer & Marketing Offering Portfolio so exciting. What we deliver in the market each and every day directly impacts who we are as customers. We are able to deliver on outcomes for the very products and services that we have the privilege of engaging with ourselves. Our Advertising, Marketing & Commerce team focuses on delivering marketing and growth objectives aligned with our clients’ brand values for measurable business growth. We do this by creating content, communications, and experiences that engage and inspire their customers to act. We implement and operate the technology platforms that enable personalized content, commerce and marketing user-centric experiences. In doing so, we transform our clients’ marketing and engagement operations into modern, data-driven, creatively focused organizations. Our team brings deep experience in creative and digital marketing capabilities, many from our Digital Studios. We serve our clients through the following types of work: Cross-channel customer engagement strategy, design and development (web, mobile, social, physical) eCommerce strategy, implementation and operations Marketing Content and digital asset management solutions Marketing Technology and Advertising Technology solutions Marketing analytics implementation and operations Advertising campaign ideation, development and execution Acquisition and engagement campaign ideation, development and execution Agile based, design-thinking, user-centric, empirical projects that accelerate results. Qualifications and Experience Required: Should have at least 3 years of industry experience outside of academia. Gather and analyze business requirements and transform it into a specific data science problem. Interpret and analyze data problems within the organization. Develop custom data models and algorithms. Collaborate with different functional teams to implement models and monitor outcomes. Proficient in statistical analysis, quantitative analytics, forecasting/predictive analytics, clustering, multivariate testing, regression and optimization algorithms. Understanding of probability distributions and statistical inference. Should have strong knowledge on DSA concepts, specifically for Python. Good Experience with recommendation techniques, like collaborative filtering, content- based filtering and cosine similarities Develop tools, techniques, and theories to facilitate ongoing research activities of an organization. Use predictive and prescriptive analytics tools to forecast what might happen using probabilities and confidence levels. Maintain latest knowledge of existing and emerging scientific principles/theories/techniques and applies them to identify and develop innovative solutions, products, and projects. Authoritative experience in the field of Data Science to influence stake holders across varied work streams and geographical locations, ability to challenge the status quo to improve the base line models and the models which are already productionized. Experience in implementing machine learning models: Forecasting, Classification, Regression, Clustering, Data/Text Mining, NLP, Decision Trees, Adaptive Decision Algorithms, Random Forest, Search Algorithms, Neural Networks, Deep Learning Algorithms. Hands-on skills in sourcing, cleaning, manipulating, and analyzing large volumes of data using distributed computing platform. Familiarity of data architecture requirements and conceptual approaches for deploying algorithmic solutions in Big Data productive environments. Worked with at least one mainstream machine learning frameworks, including caffe, convNet, Tensor Flow, Torch Experience in implementing computer vision algorithms using frameworks like OpenCV. Familiarity with techniques such as image recognition, object detection, and semantic segmentation. Working proficiency with SQL and relational databases, data warehouse Superior verbal, visual and written communication skills to educate and work with cross functional teams on controlled experiments. Should have experience in handling large datasets, analyze, report actionable insights, and develop interactive dashboards using at least one of PowerBI / Tableau / Qlikview / RShiny/ Plotly/ Dash etc. Should have minimum 1-2 years of working experience in SQL, PySpark and Python. Good to have Scala, SparkR, SparkSQL. Should have experience or deep understanding of implementing Gen -AI frameworks like GPT, BERT, VAEs GANs, etc. Experience with Generative Adversarial Networks (GANs), Autoencoders, and other generative models. Understanding of the creation and manipulation of synthetic data. Familiarity with generative AI applications such as text generation, image synthesis, and content creation. Demonstrable ability to use generative AI to solve complex problems and generate new, creative solutions. Understanding of the ethical considerations and potential impacts of using generative AI, such as data privacy and the potential for misuse. Experience with generative AI frameworks and libraries, such as TensorFlow, PyTorch, or Generative Pre-trained Transformer (GPT). Ability to effectively communicate and explain the workings and implications of generative AI models to non-technical team members and stakeholders. Should have good hands-on experience working in Any cloud, AWS, Azure, GCP. How you’ll grow At Deloitte, we’ve invested a great deal to create a rich environment in which our professionals can grow. We want all our people to develop in their own way, playing to their own strengths as they hone their leadership skills. And, as a part of our efforts, we provide our professionals with a variety of learning and networking opportunities—including exposure to leaders, sponsors, coaches, and challenging assignments—to help accelerate their careers along the way. No two people learn in exactly the same way. So, we provide a range of resources including live classrooms, team-based learning, and eLearning. DU: The Leadership Center in India, our state-of-the-art, world-class learning Center in the Hyderabad offices is an extension of the DU in Westlake, Texas, and represents a tangible symbol of our commitment to our people’s growth and development. Explore DU: The Leadership Center in India Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Deloitte’s culture Our positive and supportive culture encourages our people to do their best every day. We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them to be healthy, centered, confident, and aware. We offer comprehensive well-being programs and are continuously looking for new ways to maintain a culture that is inclusive, invites authenticity, leverages our diversity, and where our people excel and lead happy lives. Learn more about Life at Deloitte. Corporate citizenship Deloitte is led by a purpose: to make an impact that matters. This purpose defines who we are and extends to relationships that we have with our clients, our people and our communities. We believe that business has the power to inspire and transform. We focus on education, giving, skill-based volunteerism, and leadership to help drive positive social impact in our communities. Learn more about Deloitte’s impact on the world.

Role: ML Ops Engineer Onsite Chennai Exp:5-8 Y Immediate/0-15d Required Skills 1.5+ year exp MLOps/DevOps roles with ML 2. Python, ML libraries 3.Docker&Kubernetes. 4.CI/CD-Jenkins, GitLab, 5.Technology-Azure,AWS,GCP Note: TamilNadu Candidate Only

UKG is a leader in the HCM space, and is at the forefront of artificial intelligence innovation, dedicated to developing cutting-edge generative AI solutions that transform the HR / HCM industry and enhance user experiences. We are seeking a talented and motivated AI Engineers to join our dynamic team and contribute to the development of next-generation AI/GenAI based products and solutions. This role will provide you with the opportunity to work on cutting-edge SaaS technologies and impactful projects that are used by enterprises and users worldwide. As a Senior Software Engineer, you will be involved in the design, development, testing, deployment, and maintenance of software solutions. You will work in a collaborative environment, contributing to the technical foundation behind our flagship products and services. Responsibilities: Software Development: Write clean, maintainable, and efficient code or various software applications and systems. GenAI Product Development: Participate in the entire AI development lifecycle, including data collection, preprocessing, model training, evaluation, and deployment.Assist in researching and experimenting with state-of-the-art generative AI techniques to improve model performance and capabilities. Technical Leadership: Contribute to the design, development, and deployment of complex software applications and systems, ensuring they meet high standards of quality and performance. Project Management: Manage execution and delivery of features and projects, negotiating project priorities and deadlines, ensuring successful and timely completion, with quality. Architectural Design: Participate in design reviews with peers and stakeholders and in the architectural design of new features and systems, ensuring scalability, reliability, and maintainability. Code Review: Diligent about reviewing code developed by other developers, provide feedback and maintain a high bar of technical excellence to ensure code is adhering to industry standard best practices like coding guidelines, elegant, efficient and maintainable code, with observability built from ground up, unit tests etc. Testing: Build testable software, define tests, participate in the testing process, automate tests using, tools (e.g., Junit, Selenium) and Design Patterns leveraging the test automation pyramid as the guide. Service Health and Quality: Maintain the health and quality of services and incidents, proactively identifying and resolving issues. Utilize service health indicators and telemetry for action providing recommendations to optimize performance. Conduct thorough root cause analysis and drive the implementation of measures to prevent future recurrences. Dev Ops Model: Understanding of working in a DevOps Model. Taking ownership from working with product management on requirements to design, develop, test, deploy and maintain the software in production. Documentation: Properly document new features, enhancements or fixes to the product, contributing to training materials. Minimum Qualifications: Bachelors degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. 4+ years of professional software development experience. Deep expertise as developer using Python, FastAPI, PyTest, Celery, and other Python frameworks. Extensive experience with software development practices and design patterns. Proficiency with version control systems like GitHub and bug/work tracking systems like JIRA. Understanding of cloud technologies and DevOps principles. Preferred Qualifications: Experience with object-oriented programming, concurrency, design patterns, and REST APIs. Experience with CI/CD tooling such as Terraform and GitHub Actions. High level familiarity with AI/ML, GenAI, and MLOps concepts. Familiarity with frameworks like LangChain and LangGraph. Experience with SQL and NoSQL databases such as MongoDB, MSSQL, or Postgres. Experience with testing tools such as PyTest, PyMock, xUnit, mocking frameworks, etc. Experience with GCP technologies such as VertexAI, BigQuery, GKE, GCS, DataFlow, and Kubeflow. Experience with Docker and Kubernetes. Experience with Java and Scala a plus.

Conducting classroom Training on programming skills Creating a positive and engaging learning environment A passion for teaching and helping students achieve their career goals Strong knowledge of SQL. Python, Data Science, ML, DL, NLP, Power Bi

Are you interested in shaping the future of how people watch movies, shows and more? Do you want to contribute to the rapidly growing international customer base of Amazon s Prime Video? Amazon Prime Video s vision is to be the world s favorite entertainment brand, and the first-choice entertainment hub globally. Prime Video is a premium streaming service that offers customers a vast collection of TV shows, movies and live sports events all with the ease of finding what they love to watch in one place. We also offer our members the opportunity to subscribe to add-on channels (3P streaming services) and to rent new release movies on the Prime Video Store. Prime Video is at the forefront of the entertainment industry and growing fast, now available in 240 countries and territories worldwide. We work in a dynamic and exciting environment where innovating on behalf of our customers is at the heart of everything we do. You ll be part of Prime Video APAC (Asia-Pacific) who oversee India, Middle East & North Africa (MENA), South-East Asia (SEA), and Japan. You will be the product leader working closely with regional business leaders and teams and will have the opportunity to develop a deep understanding of the local customers, think-big and drive a strategic vision in building solutions to address the local customer needs which could scale world-wide. You ll be responsible for creating product roadmaps, building product requirements and will be collaborating with product and tech teams world-wide in delivering these features. We are looking for a customer-obsessed Product Manager Tech with a strong track record of ownership who has successfully delivered results in a fast-paced and dynamic business environment. * You will be a strong product leader with an ability to work independently with your stakeholders and leaders. * Develop a deep understanding of the Prime Video customers, particularly of customers based in India. * Develop a thorough understanding of the digital video market segments and continually assess the landscape and emerging industry trends. * Participate and influence stakeholders to define the product vision & strategy * Develop the product roadmap and supporting metrics required to deliver and enhance a best in class digital video customer experience. * Work cross-functionally with data science, engineering, design, marketing, business development, legal, finance, customer service, and operations teams to deliver on the product roadmap and business goals * Influence the dependent teams and stakeholders and can efficiently navigate roadblocks and move forward. * Own leadership reviews to keep regional business leaders updated on product status. Bachelors degree Experience owning/driving roadmap strategy and definition Experience with feature delivery and tradeoffs of a product Experience technical product management Experience contributing to engineering discussions around technology decisions and strategy related to a product Experience managing technical products or online services Strong verbal and written communication skills with a demonstrated experience engaging and influencing senior executives Experience working directly with Engineers on product enhancements Experience in project management methodologies, business analysis, or process improvement MBA or advanced degree in a related field

Its fun to work in a company where people truly BELIEVE in what they are doing! Were committed to bringing passion and customer focus to the business. Brief about the Team & Fractal: Fractal Analytics is Leading Fortune 500 companies leverage Big Data, analytics and technology to drive smarter, faster and more accurate decisions in every aspect of their business. Fortune 500 companies recognize analytics is a competitive advantage to understand customers and make better decisions. We deliver insight, innovation and impact to them through predictive analytics and visual story-telling. Experience : 4 to 8 years Mandatory skills for an SME Content Development Proactive in continuous learning Prior experience at L&D , content development, conducting workshops, teaching technical sessions Mandatory technical skills for Data Science SME Programming in Python with a strong hands-on experience Hands-on experience in Data Analytics Statistical Analysis: Descriptive and Inferential Statistics, Probability Distributions, Hypothesis Testing, Statistical Tests like Z Test, Chi-Square Test, t -test etc. Data Visualization using Python: Univariate and Bivariate Analysis. Strong skills in interpretation and drawing the business insights from the plots Data Preprocessing Techniques, Feature Engineering using PCA, LDA etc. Machine Learning: Supervised and unsupervised algorithms Advanced Machine Learning: Bagging and Boosting Techniques Time Series Analysis: ARIMA, SARIMA, Holt-Winters model etc. Neural Networks: ANN, CNN, Transfer Learning, Pre-trained Models, RNN, LSTM Natural Language Processing: Text Processing NLP using Deep neural networks: BERT Models, Transformers, Encoders and Decoders GenAI: LLMs, Prompt Engineering Techniques, Building RAG Models, LangChain, LangGraph, LlamaIndex, Agentic AI Value-add: BI tools like PowerBI Data Engineering with Azure Cloud Services If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us! Not the right fit? Let us know youre interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

Job summary J.P. Morgan Compliance, Conduct, and Operational Risk (CCOR) Data Science function is at the forefront of developing innovative AI and ML solutions to enhance risk management and compliance processes. Our team leverages advanced analytics, AI, Machine learning technologies, including Large Language Models (LLMs), to transform how we manage compliance, conduct, and operational risks across the organization. Join our CCOR Data Science team as a Lead Data Scientist, where you will play a crucial role in developing AI/ML solutions to enhance compliance and risk management. Your primary responsibilities will include leveraging advance AI / ML techniques, LLMs and Agentic AI to develop and deploy models for various tasks such as anomaly detection, risk assessment, and compliance monitoring. You will work with diverse datasets to improve our risk management processes and ensure regulatory compliance. As part of a leading analytics community, you will have opportunities for skill development and career growth in AI, machine learning, and data science. Job responsibilities Design, deploy, and manage AI/ML models, leverages advance AI/ML techniques, LLMs and Agentic AI for developing compliance and risk management related solution. Conduct research on AI techniques to enhance model performance in the compliance and risk domains. Collaborate with cross-functional teams to identify requirements, develop solutions, and deploy models in the production system. Communicate technical concepts effectively to both technical and non-technical stakeholders. Develop and maintain tools and frameworks for model training, evaluation, and optimization. Analyze and interpret data to evaluate model performance and identify areas for improvement. Required qualifications, capabilities, and skills Master s degree in quantitative discipline or an MBA with an undergraduate degree in areas such as Computer Science, Statistics, Economics, Mathematics etc. from top tier Universities. At least 10+ years of Experience in developing AI/ML solutions, with recent exposure to LLMs and Agentic AI. Programming skills in Python, with experience in frameworks like PyTorch or TensorFlow. Thorough knowledge of machine learning concepts, including transformers and language modeling. Experience in data pre-processing, feature engineering, and data analysis. Excellent problem-solving skills and the ability to communicate ideas and results clearly. Familiarity with data structures and algorithms for effective problem-solving in machine learning workflows. Job summary J.P. Morgan Compliance, Conduct, and Operational Risk (CCOR) Data Science function is at the forefront of developing innovative AI and ML solutions to enhance risk management and compliance processes. Our team leverages advanced analytics, AI, Machine learning technologies, including Large Language Models (LLMs), to transform how we manage compliance, conduct, and operational risks across the organization. Join our CCOR Data Science team as a Lead Data Scientist, where you will play a crucial role in developing AI/ML solutions to enhance compliance and risk management. Your primary responsibilities will include leveraging advance AI / ML techniques, LLMs and Agentic AI to develop and deploy models for various tasks such as anomaly detection, risk assessment, and compliance monitoring. You will work with diverse datasets to improve our risk management processes and ensure regulatory compliance. As part of a leading analytics community, you will have opportunities for skill development and career growth in AI, machine learning, and data science. Job responsibilities Design, deploy, and manage AI/ML models, leverages advance AI/ML techniques, LLMs and Agentic AI for developing compliance and risk management related solution. Conduct research on AI techniques to enhance model performance in the compliance and risk domains. Collaborate with cross-functional teams to identify requirements, develop solutions, and deploy models in the production system. Communicate technical concepts effectively to both technical and non-technical stakeholders. Develop and maintain tools and frameworks for model training, evaluation, and optimization. Analyze and interpret data to evaluate model performance and identify areas for improvement. Required qualifications, capabilities, and skills Master s degree in quantitative discipline or an MBA with an undergraduate degree in areas such as Computer Science, Statistics, Economics, Mathematics etc. from top tier Universities. At least 10+ years of Experience in developing AI/ML solutions, with recent exposure to LLMs and Agentic AI. Programming skills in Python, with experience in frameworks like PyTorch or TensorFlow. Thorough knowledge of machine learning concepts, including transformers and language modeling. Experience in data pre-processing, feature engineering, and data analysis. Excellent problem-solving skills and the ability to communicate ideas and results clearly. Familiarity with data structures and algorithms for effective problem-solving in machine learning workflows.

Job summary J.P. Morgan Compliance, Conduct, and Operational Risk (CCOR) Data Science function is at the forefront of developing innovative AI and ML solutions to enhance risk management and compliance processes. Our team leverages advanced analytics, AI, Machine learning technologies, including Large Language Models (LLMs), to transform how we manage compliance, conduct, and operational risks across the organization. Join our CCOR Data Science team as a Lead Data Scientist, where you will play a crucial role in developing AI/ML solutions to enhance compliance and risk management. Your primary responsibilities will include leveraging advance AI / ML techniques, LLMs and Agentic AI to develop and deploy models for various tasks such as anomaly detection, risk assessment, and compliance monitoring. You will work with diverse datasets to improve our risk management processes and ensure regulatory compliance. As part of a leading analytics community, you will have opportunities for skill development and career growth in AI, machine learning, and data science. Job responsibilities Design, deploy, and manage AI/ML models, leverages advance AI/ML techniques, LLMs and Agentic AI for developing compliance and risk management related solution. Conduct research on AI techniques to enhance model performance in the compliance and risk domains. Collaborate with cross-functional teams to identify requirements, develop solutions, and deploy models in the production system. Communicate technical concepts effectively to both technical and non-technical stakeholders. Develop and maintain tools and frameworks for model training, evaluation, and optimization. Analyze and interpret data to evaluate model performance and identify areas for improvement. Required qualifications, capabilities, and skills Master s degree in quantitative discipline or an MBA with an undergraduate degree in areas such as Computer Science, Statistics, Economics, Mathematics etc. from top tier Universities. At least 12+ years of Experience in developing AI/ML solutions, with recent exposure to LLMs and Agentic AI. Programming skills in Python, with experience in frameworks like PyTorch or TensorFlow. Thorough knowledge of machine learning concepts, including transformers and language modeling. Experience in data pre-processing, feature engineering, and data analysis. Excellent problem-solving skills and the ability to communicate ideas and results clearly. Familiarity with data structures and algorithms for effective problem-solving in machine learning workflows. Job summary J.P. Morgan Compliance, Conduct, and Operational Risk (CCOR) Data Science function is at the forefront of developing innovative AI and ML solutions to enhance risk management and compliance processes. Our team leverages advanced analytics, AI, Machine learning technologies, including Large Language Models (LLMs), to transform how we manage compliance, conduct, and operational risks across the organization. Join our CCOR Data Science team as a Lead Data Scientist, where you will play a crucial role in developing AI/ML solutions to enhance compliance and risk management. Your primary responsibilities will include leveraging advance AI / ML techniques, LLMs and Agentic AI to develop and deploy models for various tasks such as anomaly detection, risk assessment, and compliance monitoring. You will work with diverse datasets to improve our risk management processes and ensure regulatory compliance. As part of a leading analytics community, you will have opportunities for skill development and career growth in AI, machine learning, and data science. Job responsibilities Design, deploy, and manage AI/ML models, leverages advance AI/ML techniques, LLMs and Agentic AI for developing compliance and risk management related solution. Conduct research on AI techniques to enhance model performance in the compliance and risk domains. Collaborate with cross-functional teams to identify requirements, develop solutions, and deploy models in the production system. Communicate technical concepts effectively to both technical and non-technical stakeholders. Develop and maintain tools and frameworks for model training, evaluation, and optimization. Analyze and interpret data to evaluate model performance and identify areas for improvement. Required qualifications, capabilities, and skills Master s degree in quantitative discipline or an MBA with an undergraduate degree in areas such as Computer Science, Statistics, Economics, Mathematics etc. from top tier Universities. At least 12+ years of Experience in developing AI/ML solutions, with recent exposure to LLMs and Agentic AI. Programming skills in Python, with experience in frameworks like PyTorch or TensorFlow. Thorough knowledge of machine learning concepts, including transformers and language modeling. Experience in data pre-processing, feature engineering, and data analysis. Excellent problem-solving skills and the ability to communicate ideas and results clearly. Familiarity with data structures and algorithms for effective problem-solving in machine learning workflows.

JD for Inside Sales Executive - Admission Counsellor for Management Courses. The Role * Drive inquiries & admissions for the online/blended learning programs for Data Science (AI&ML) offered for the Domestic Market. * Look after the entire sales life cycle: starting from engaging with the large volume of well qualified leads till the final conversion i.e. enrolment in the program. * Counsel experienced professionals via call or email on which course will be useful to their career progression and suggest the best options. * Update and maintain MIS reports. Requirements * Bachelors degree or equivalent qualification(preferably in a technical or scientific discipline) * Over 1.5 years of work experience, primarily in counseling or sales (preferably in the EdTech sector) Strong sales acumen and excellent communication skills * Proficiency in Microsoft Office, particularly Excel * A strong passion for personal career growth and contributing to the success of emerging brands Courses Like : Digital Transformation & Business Models for Healthcare Program in Strategy & Leadership for Healthcare Integrated Marketing & Branding Working days - Monday to Saturday

Responsibilities: Analyze structured and unstructured data. Build and deploy machine learning models for text classification task. Develop visualization tools and dashboards to communicate findings to business partners. Collaborate with business, product and engineering teams to clearly articulate data insights into actionable recommendations. Skills: Bachelor s or Master s degree in Computer Science, Statistics, Mathematics, Data Science, or related field. 3+ years of experience in a data science or analytics role. Hands on experience in GCP, AWS or Azure cloud platform. Familiarity with GCP Vertex AI is a plus. Strong ability in developing and deploying ML solutions. Proficient in Python, scikit learn, PyTorch, and TensorFlow, with expertise in machine learning, NLP, and deep learning model development and optimization. Strong understanding of data patterns, feature engineering, and model lifecycle from design to validation, tuning, and scaling. Exposure to big data tools (e.g. BigQuery, Spark) and MLOps practices for scalable, production-grade ML pipelines.

Software Development Engineer II Back to job search results About the role Software Development Engineers (SDEs) are the creative minds developing the software applications that make life easier for customers. Responsible for the entire development and support process for a software programme What is in it for you At Tesco, we are committed to providing the best for you. As a result, our colleagues enjoy a unique, differentiated, market- competitive reward package, based on the current industry practices, for all the work they put into serving our customers, communities and planet a little better every day. Our Tesco Rewards framework consists of pillars - Fixed Pay, Incentives, and Benefits. Total Rewards offered at Tesco is determined by four principles -simple, fair, competitive, and sustainable. Salary - Your fixed pay is the guaranteed pay as per your contract of employment. Leave & Time-off - Colleagues are entitled to 30 days of leave (18 days of Earned Leave, 12 days of Casual/Sick Leave) and 10 national and festival holidays, as per the company s policy. Making Retirement Tension-FreeSalary - In addition to Statutory retirement beneets, Tesco enables colleagues to participate in voluntary programmes like NPS and VPF. Health is Wealth - Tesco promotes programmes that support a culture of health and wellness including insurance for colleagues and their family. Our medical insurance provides coverage for dependents including parents or in-laws. Mental Wellbeing - We offer mental health support through self-help tools, community groups, ally networks, face-to-face counselling, and more for both colleagues and dependents. Financial Wellbeing - Through our financial literacy partner, we offer one-to-one financial coaching at discounted rates, as well as salary advances on earned wages upon request. Save As You Earn (SAYE) - Our SAYE programme allows colleagues to transition from being employees to Tesco shareholders through a structured 3-year savings plan. Physical Wellbeing - Our green campus promotes physical wellbeing with facilities that include a cricket pitch, football field, badminton and volleyball courts, along with indoor games, encouraging a healthier lifestyle. You will be responsible for Take a problem where technical strategy or approach is defined and come up with the solution design and drives the implementation with a fair level of autonomy including interacting with other SDEs in the same team or peer teams Reach out for direction proactively in case of ambiguities or constraints Own the delivery of a major component in a product or a small product entirely as part of a feature delivery Suggest improvements to processes and methodologies to enhance delivery speed; quality Mentor and guide other WL1 SDEs in the team and help in hiring Question requirements and challenge where necessary Identify value of tasks & always work on the highest priority items You will need Programming: Demonstrate a good understanding of at least one major programming language Understand the framework and enough of the tool ecosystem of the chosen language to implement end to end components with minimal assistance Comfortably produce and refactor code without assistance Test drive features in programming language of choice Understand different major language paradigms (OOP/Functional) Understand presence of abstraction beneath language (DVM/JVM/CLR) Reason about complexity of algorithms (time and space) and code (cyclomatic) Debug code Understand and resolve complex issues Design Identify design patterns in code Implement design patterns with guidance Comfortably translate small behaviour requirements into tasks & code Understand how high-quality code can lead to rapid delivery Write clean; maintainable code Demonstrate a basic understanding of domains and domain modelling Seek out and use appropriate abstractions Understand patterns for integration (events/services) Understand how to leverage existing functionality outside immediate project Understand scope of project and when to move behaviour to other services Development Practice Understand continuous integration and continuous delivery Demonstrate a working knowledge of CI tooling Writes tests to ensure CI/CD processes work Understand BDD / TDD / Performance / Security / Smoke testing Infrastructure Demonstrate a good working knowledge of one relevant operating system Script and automate within relevant environment Security Understand Oauth/Saml & identity models About us Tesco in Bengaluru is a multi-disciplinary team serving our customers, communities, and planet a little better every day across markets. Our goal is to create a sustainable competitive advantage for Tesco by standardising processes, delivering cost savings, enabling agility through technological solutions, and empowering our colleagues to do even more for our customers. With cross-functional expertise, a wide network of teams, and strong governance, we reduce complexity, thereby offering high-quality services for our customers. Tesco in Bengaluru, established in 2004 to enable standardisation and build centralised capabilities and competencies, makes the experience better for our millions of customers worldwide and simpler for over 3,30,000 colleagues Tesco Technology Today, our Technology team consists of over 5,000 experts spread across the UK, Poland, Hungary, the Czech Republic, and India. In India, our Technology division includes teams dedicated to Engineering, Product, Programme, Service Desk and Operations, Systems Engineering, Security & Capability, Data Science, and other roles. At Tesco, our retail platform comprises a wide array of capabilities, value propositions, and products, essential for crafting exceptional retail experiences for our customers and colleagues across all channels and markets. This platform encompasses all aspects of our operations from identifying and authenticating customers, managing products, pricing, promoting, enabling customers to discover products, facilitating payment, and ensuring delivery. By developing a comprehensive Retail Platform, we ensure that as customer touchpoints and devices evolve, we can consistently deliver seamless experiences. This adaptability allows us to respond flexibly without the need to overhaul our technology, thanks to the creation of capabilities we have built. Apply

Technical Programme Manager Back to job search results Tesco India Bengaluru, Karnataka, India Hybrid Full-Time Permanent Apply by 13-Jul-2025 About the role We have an outstanding opportunity for an experienced Technical Programme Manager to join Tesco s Programme and Strategy team, part of the wider Data and Analytics team. We are a true "hub and spoke" team engaging and managing dependencies with a vast number of teams within Tesco as well as third parties. Our role is to ensure data availability and quality in one central repository whilst supporting the delivery of key Tesco business priorities through our analytics, visualisation and data science programmes. This role will be responsible for establishing and managing programmes of work covering our Data Science, Analytics and BI tools and data engineering teams. What is in it for you At Tesco, we are committed to providing the best for you. As a result, our colleagues enjoy a unique, differentiated, market- competitive reward package, based on the current industry practices, for all the work they put into serving our customers, communities and planet a little better every day. Our Tesco Rewards framework consists of pillars - Fixed Pay, Incentives, and Benefits. Total Rewards offered at Tesco is determined by four principles -simple, fair, competitive, and sustainable. Salary - Your fixed pay is the guaranteed pay as per your contract of employment. Leave & Time-off - Colleagues are entitled to 30 days of leave (18 days of Earned Leave, 12 days of Casual/Sick Leave) and 10 national and festival holidays, as per the company s policy. Making Retirement Tension-FreeSalary - In addition to Statutory retirement beneets, Tesco enables colleagues to participate in voluntary programmes like NPS and VPF. Health is Wealth - Tesco promotes programmes that support a culture of health and wellness including insurance for colleagues and their family. Our medical insurance provides coverage for dependents including parents or in-laws. Mental Wellbeing - We offer mental health support through self-help tools, community groups, ally networks, face-to-face counselling, and more for both colleagues and dependents. Financial Wellbeing - Through our financial literacy partner, we offer one-to-one financial coaching at discounted rates, as well as salary advances on earned wages upon request. Save As You Earn (SAYE) - Our SAYE programme allows colleagues to transition from being employees to Tesco shareholders through a structured 3-year savings plan. Physical Wellbeing - Our green campus promotes physical wellbeing with facilities that include a cricket pitch, football field, badminton and volleyball courts, along with indoor games, encouraging a healthier lifestyle. You will be responsible for Technical Programme Managers (TPM) work with teams that deliver complex, cross-functional technology programmes that support colleagues and help serve our customers better. They work collaboratively, influence Product, Engineering, and business colleagues to deliver value quickly and often. Whilst specific responsibilities will be dependent upon the changing needs of the Tesco business, the following provides an overview of the role s key responsibilities and measures: Deliver complex programmes with multiple business and technical risks that will impact the success of key Tesco business priorities Establish new or improve existing delivery methodology to deliver the programme goals Initiate and shape programmes with ambiguous scope and uncertain delivery approach Create and track a plan to deliver the programme goals, including the technical implementation plan Provide expert advice and guidance on programme delivery supporting Engineering/Product teams Understand trade-offs in software delivery, using experience and influencing skills to drive consensus with the Engineering and Product teams to obtain the best value and solution Able to foresee potential risks and issues, establish a process, facilitate discussions, and manage escalations Act on opportunities to adopt trends and new concepts in programme and product delivery Able to understand a technical architecture to be able to foresee the impact on dependencies, delivery timelines and implementation plans Have good knowledge of engineering best practices and practical infrastructure implementations to appreciate delivery challenges Ask probing questions of Engineering and Product teams to ensure solutions meet programme objectives Understand technology concepts, grasp new ones quickly and appreciate their implications on delivery Effectively manage major incidents, ensuring stakeholders are updated with the right information to drive the correct decisions Collaborate with the Product and Engineering teams to define annual budgetary requirements Build positive relationships with suppliers & external stakeholders to deliver software or professional services Proactively research trends and development in technology, and programme and product delivery Coach peers and other roles, teaching where required, on methodologies and programme management tools and coach/mentor on leadership Take a leading role in the recruitment process and make final recruitment decisions You will need An ideal candidate must have demonstrated below key skills in their current and past roles: Have a proven record of accomplishment in delivering technology and/or infrastructure; having done so across multiple teams in multiple geographies Have experience of building credible relationships and influencing senior management & leadership teams Strong Project, Stakeholder & Programme management skills Excellent reporting skills for programs and financial forecasting Excellent communication & influencing skills and adaptability to changes About us Tesco in Bengaluru is a multi-disciplinary team serving our customers, communities, and planet a little better every day across markets. Our goal is to create a sustainable competitive advantage for Tesco by standardising processes, delivering cost savings, enabling agility through technological solutions, and empowering our colleagues to do even more for our customers. With cross-functional expertise, a wide network of teams, and strong governance, we reduce complexity, thereby offering high-quality services for our customers. Tesco in Bengaluru, established in 2004 to enable standardisation and build centralised capabilities and competencies, makes the experience better for our millions of customers worldwide and simpler for over 3,30,000 colleagues Tesco Technology Today, our Technology team consists of over 5,000 experts spread across the UK, Poland, Hungary, the Czech Republic, and India. In India, our Technology division includes teams dedicated to Engineering, Product, Programme, Service Desk and Operations, Systems Engineering, Security & Capability, Data Science, and other roles. At Tesco, our retail platform comprises a wide array of capabilities, value propositions, and products, essential for crafting exceptional retail experiences for our customers and colleagues across all channels and markets. This platform encompasses all aspects of our operations from identifying and authenticating customers, managing products, pricing, promoting, enabling customers to discover products, facilitating payment, and ensuring delivery. By developing a comprehensive Retail Platform, we ensure that as customer touchpoints and devices evolve, we can consistently deliver seamless experiences. This adaptability allows us to respond flexibly without the need to overhaul our technology, thanks to the creation of capabilities we have built. Apply