2726 Data Science Jobs - Page 33

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

Newton School of Technology is on a mission to transform technology education and bridge the employability gap. As India s first impact university, we are committed to revolutionizing learning, empowering students, and shaping the future of the tech industry. Backed by renowned professionals and industry leaders, we aim to solve the employability challenge and create a lasting impact on society. We are currently looking for a Data Engineer + Subject Matter Expert - Data Mining to join our Computer Science Department. This is a full-time academic role focused on data mining, analytics, and teaching/mentoring students in core data science and engineering topics. Key Responsibilities: Develop and deliver comprehensive and engaging lectures for the undergraduate "Data Mining", BigData and Data Analytics courses, covering the full syllabus from foundational concepts to advanced techniques. Instruct students on the complete data lifecycle, including data preprocessing, cleaning, transformation, and feature engineering. Teach the theory, implementation, and evaluation of a wide range of algorithms for Classification, Association rules mining, Clustering and Anomaly Detections. Design and facilitate practical lab sessions and assignments that provide students with hands-on experience using modern data tools and software. Develop and grade assessments, including assignments, projects, and examinations, that effectively measure the Course Learning Objectives (CLOs). Mentor and guide students on projects, encouraging them to work with real-world or benchmark datasets (e.g., from Kaggle). Stay current with the latest advancements, research, and industry trends in data engineering and machine learning to ensure the curriculum remains relevant and cutting-edge. Contribute to the academic and research environment of the department and the university. Required Qualifications: A Ph.D. (or a Masters degree with significant, relevant industry experience) in Computer Science, Data Science, Artificial Intelligence, or a closely related field. Demonstrable expertise in the core concepts of data engineering and machine learning as outlined in the syllabus. Strong practical proficiency in Python and its data science ecosystem, specifically Scikit-learn, Pandas, NumPy, and visualization libraries (e.g., Matplotlib, Seaborn). Proven experience in teaching, preferably at the undergraduate level, with an ability to make complex topics accessible and engaging. Excellent communication and interpersonal skills. Preferred Qualifications: A strong record of academic publications in reputable data mining, machine learning, or AI conferences/journals. Prior industry experience as a Data Scientist, Big Data Engineer, Machine Learning Engineer, or in a similar role. Experience with big data technologies (e.g., Spark, Hadoop) and/or deep learning frameworks (e.g., TensorFlow, PyTorch). Experience in mentoring student teams for data science competitions or hackathons. Perks & Benefits: Competitive salary packages aligned with industry standards. Access to state-of-the-art labs and classroom facilities. To know more about us, feel free to explore our website: Newton School of Technology We look forward to the possibility of having you join our academic team and help shape the future of tech education! Newton School of Technology is on a mission to transform technology education and bridge the employability gap. As India s first impact university, ...

Key responsibilities: Integrates disparate datasets, conducts data preparation for analyses Applies data science methods to provide insights and recommendations to clients Delivers analytic outcomes based on project timelines and key milestones Maintains knowledge of new trends in the data science industry Develops and manages code used for analytics purposes Communicates findings and insights Knowledge on SQL, Tableau Location: Bangalore Brand: Iprospect Time Type: Full time Contract Type: Permanent

Senior Python Developer LLM Agent Development (Remote, Contract) Senior Python Developer LLM Agent Development (Remote, Contract) Noida , India Experience Required: 5+ Years Remote Contract Up to 1,70,000 per month Employment Type: Compensation: About the Role We are looking for a Senior Python Developer (LLM Agent Development) with deep expertise in Large Language Models (LLMs), backend development, and agent orchestration frameworks. This is a hands-on engineering role focused on building production-grade AI systems, not a data science, analytics, or annotation role. Senior Python Developer (LLM Agent Development) hands-on engineering role You will be working on cutting-edge AI projects that involve building intelligent agents, integrating LLMs into real-world systems, and designing scalable backend architectures. This is an excellent opportunity for engineers who want to work on advanced LLM pipelines, including LangChain, LangGraph, RAG pipelines, and agent frameworks . LangChain, LangGraph, RAG pipelines, and agent frameworks Key Responsibilities Design, build, and maintain high-performance backend systems using Python. Develop and optimize LLM-powered applications with focus on agent orchestration, workflow management, and system reliability. Integrate LangChain, LangGraph, Retrieval-Augmented Generation (RAG) pipelines , and other agent frameworks into scalable production environments. Collaborate with cross-functional teams to ensure system stability, scalability, and maintainability. Build secure, efficient, and well-documented APIs that integrate with LLM services. Troubleshoot, optimize, and scale LLM-driven systems for performance and cost efficiency. LLM-powered applications LangChain, LangGraph, Retrieval-Augmented Generation (RAG) pipelines Required Skills & Qualifications 5+ years of professional experience as a backend or full-stack engineer with a strong backend focus. Expert-level Python programming skills. Proven experience integrating Large Language Models (LLMs) into production systems. Hands-on experience with: Expert-level Python programming skills. Large Language Models (LLMs) LangChain LangGraph RAG Pipelines Agent Frameworks Strong understanding of API design, microservices architecture, and production deployment workflows. Solid experience with cloud platforms, containerization (Docker, Kubernetes), and CI/CD pipelines. Background in Machine Learning Engineering is a strong plus . Excellent problem-solving and debugging skills. Ability to work independently and deliver high-quality work on time. strong plus Nice to Have (Bonus Skills) Experience working with vector databases (Pinecone, FAISS, Weaviate, etc.) Familiarity with prompt engineering and LLM fine-tuning. Experience in serverless architecture and event-driven systems. Exposure to multi-modal AI systems (text, image, audio). Why Work with AquSag Technologies? 100% remote work flexible location. Work on cutting-edge AI projects with leading LLM companies. Join a fast-growing team at the forefront of AI integration and intelligent agent development. Potential for long-term contract extensions based on performance and project needs. remote work cutting-edge AI projects Python Developer, Backend Engineer, LLM Integration, LangChain, LangGraph, RAG Pipelines, Agent Frameworks, AI Engineer, Large Language Models, Machine Learning Engineer, Remote Python Jobs, Contract Python Developer, AI Software Engineer, API Developer, Generative AI, GPT, OpenAI, Vector Databases, Prompt Engineering, ML Ops, Remote AI Engineer. Apply Now Apply Now and be a part of building next-generation AI-powered systems!

We are seeking a skilled and experienced Machine Learning Engineer specialized in Natural Language Processing (NLP) and Computer Vision to join our team. The candidate should have a strong foundation in ML and AI principles, coupled with a proven track record of developing and deploying a minimum of 20+ models in these domains. Responsibilities: Develop and implement state-of-the-art machine learning algorithms and models for NLP and computer vision applications. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Conduct thorough data analysis, pre-processing, and feature engineering to extract meaningful insights from structured and unstructured data. Design and implement scalable and efficient machine learning pipelines for training, evaluation, and inference. Experiment with various deep learning architectures, hyper parameters, and optimization techniques to improve model performance. Stay updated with the latest advancements in ML and AI research and evaluate their potential applications in our domain. Work closely with software engineers to integrate ML models into production systems and ensure their robustness and scalability. Perform rigorous testing and validation of models to ensure their accuracy, reliability, and generalization capability. Continuously monitor and maintain deployed models, and implement necessary updates and enhancements as required. Document code, methodologies, and findings effectively, and contribute to internal knowledge sharing initiatives. Bachelor's/Masters/Ph.D. degree in Computer Science, Engineering, Mathematics, or a related field. Strong theoretical understanding of machine learning algorithms, deep learning frameworks, and statistical modeling techniques. Proficiency in programming languages such as Python, along with experience in popular ML libraries such as TensorFlow, PyTorch, or scikit-learn. Hands-on experience in developing and deploying machine learning models for NLP and computer vision tasks, with a demonstrable portfolio of projects. Solid understanding of natural language processing techniques, including text classification, sentiment analysis, named entity recognition, etc. Familiarity with computer vision concepts such as image classification, object detection, image segmentation, etc., and experience with frameworks like OpenCV or TensorFlow. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus. Excellent problem-solving skills, attention to detail, and ability to work independently as well as part of a team. Strong communication and interpersonal skills, with the ability to effectively collaborate with stakeholders across different functional areas. We need only Data Scientist Candidates. For More Information Kindly call on 7701968943(Sanchit) Share your updated cv on sanchit@mounttalent.com

Entity :- Accenture Strategy & Consulting Team :- Strategy & Consulting Global Network Practice :- Responsible AI COE Title :- Responsible AI Manager Job location :- Bangalore/Gurgaon/Pune/ Hyderabad/Chennai/Mumbai The rapid development of AI is creating new opportunities to improve the lives of people around the world, from business to healthcare to education. As a result, it is also raising new questions about the best way to build fairness, interpretability, privacy and security into these systems. The Data and AI revolution is changing everything. Its everywhere transforming how we work and play. Join Accenture and help transform leading companies and communities around the world. We are looking for experienced and motivated individuals who will be a part of the Responsible AI Centre of Excellence (COE) within Accenture to join our multi-disciplinary Responsible AI team . We are committed to help people build AI products/solutions/services in a responsible and trustworthy manner. The ideal candidate should have a strong client-facing consulting background in data science/analytics with an ability to pick up new technologies very quickly . He/she will be passionate about understanding the impact of AI systems on people and society and will have a track record in using tools to undertake assessments such as Fairness/Bias, Explainability, Model Validation and Robustness, to assess model behaviour through a Responsibility lens. Being a part of Accenture will help you grow both professionally and personally as you help shape our thinking and approaches to Responsible AI, working alongside world-class academics, industry leaders and practitioners. Responsible AI is a key strategic priority for Accenture and were looking for the very best in the field to help us meet our ambitious goals in this space. Responsibilities: As a client-facing in Responsible AI, you will consult with Accentures clients on how todesign & develop reliable, effective user-centered AI systems in adherence to general best practices for software systems, together with practices that address responsibility considerations unique to AI & machine learning. You will also be expected to contribute to research on how AI systems can be designed holistically with fairness, interpretability, privacy, security, safety, and robustness built in by design. As part of our team, you will: Be a subject matter expert on technical aspects of Responsible AI & Data Collaborate with colleagues to develop best practices, frameworks, tools for scalable implementation of Responsible AI in enterprises Conduct research on Responsible AI policies, principles, issues, risk identification, risk remediation, regulatory requirements, latest trends etc. Bring a strong conceptual understanding of Responsible AI, principles & tools with experience of using these tools in close collaboration with internal and external stakeholders/clients Evaluate and implement technical best practices and tools for fairness, explainability, transparency, accountability, and other relevant aspects of Responsible AI Develop a clear understanding of clients business issues to adopt the best approach to implement the Responsible AI Framework Establish a consistent and collaborative presence by partnering with clients to understand the wider business goals, objectives & competitive constraints Provide thought leadership by publishing in public forums/conferences/blogs on Responsible AI products, research or developments Leading diverse and well-qualified RAI team. Qualification Skillset : Education :- PhD / Masters / Bachelors degree in Statistics / Economics / Mathematics /Computer Science / Physics or related disciplines from Premier Colleges in India or Abroad. Specialization in Data Science. Must Have 7+ years of Hands-on Data science experience in solving real life complex business problems Minimum 3 years experience in enhancing AI systems to meet Responsible AI principles - Explainability, Fairness, Accountability, etc. Passionate about understanding the impact of AI systems on people and society Hands-on experience of using techniques such as data bias testing (e.g. for under-represented groups, proxy variables, recall bias, skew etc), Explainability (e.g. SHAP values, LIME), sensitivity testing, repeatability and similar to understand model limitations. Demonstrated experience in writing reports that summarize analysis / assessments into simple and concise actionable points Strong conceptual knowledge and practical experience in the Development, Validation, and Deployment of ML/AL models such as: Supervised Learning - regression, classification techniques Unsupervised Learning clustering techniques Recommender Systems Reinforcement Learning Deep Learning Sequence models (RNN, GRU, LSTM etc.), CNN, GAN etc Econometric models Exploratory Data analysis, Hypothesis testing etc. Comfortable in ingestion of technical whitepapers, legal policies, government regulations etc. in relation into Responsible AI and work with Academic partners to convert them into practice Ability to learn and develop new methods, strategies and frameworks to proactively identify potential loopholes. Comfortable with ambiguity, believe in first principles and have the skill to transform broad ideas into action plans Excellent written and verbal communication skills with ability to clearly communicate ideas and results to both technical and non-technical business audience, such as senior leaders Good time management skills to manage day-to-day work progress and ensure timely and high-quality deliverables Self-motivated with ability to work independently across multiple projects and set priorities and Strong analytical bent of mind. Good to have Cloud Certifications (Azure / AWS / GCP) Knowledge of AWS SageMaker Clarify / Azure Responsible ML and Fairlearn SDK / GCP AI Explanations Experience in Chatbot Analytics, Web Crawling Experience in MLOps tools like MLflow or Kubeflow Knowledge of cybersecurity, vulnerability assessment, risk remediation etc.

What You'll Do Avalara is looking for a strategic, results-oriented professional to join the Global Analytics (GAI) team as Manager Business Insights & Analytics. You will lead a team of business intelligence analysts dedicated to driving Avalaras business growth through insightful analytics, effective modeling, and robust forecasting. Your main responsibilities will include guiding your team in delivering exceptional analytical insights that inform strategic decision-making processes. Applying an understanding of Avalaras business model, SaaS industry dynamics, statistical methodologies, and exploratory data analysis, you and your team will uncover relevant insights that enhance customer experience and lead organizational improvements. Additional responsibilities encompass growth score modelling, forecasting, preparing insightful analyses for senior leadership, and collaborating cross-functionally to support Avalaras strategic growth goals. Your focus on accuracy, efficiency, and strategic alignment will significantly enhance financial transparency, identify growth opportunities, and mitigate business risks. You will have a unique opportunity to influence Avalaras strategic direction through, proactive partner management across global teams, and direct contributions to our roadmap. Your work will have high visibility, significant impact, and long-lasting influence within Avalara. What Your Responsibilities Will Be Conduct in-depth analytical reviews, executive presentations, and business analyses. Lead your team to develop impactful data visualizations, reports, and dashboards using tools such as Power BI or visualization libraries in Python/R. You will provide strategic expertise to promote technological innovation and enhance business insights. Maintain high-quality deliverables, ensuring up-to-date coding practices and comprehensive documentation. Collaborate with partners to define our requirements and manage end-to-end project scopes. Partner cross-functionally on multiple programs, providing clear, strategic, and holistic recommendations. Manage team performance through hiring, mentoring, assigning responsibilities, and recognizing achievements. You will be reporting to Senior Director Data Science Management What You'll Need to be Successful Minimum of 8+ years of relevant experience analyzing complex datasets and translating insights into applicable business recommendations. At least 6+ years of experience managing analytics teams, with previous oversight of finance analysts considered advantageous. Hands-on proficiency in SQL and expertise in visualization tools such as Power BI; experience with statistical modeling. Strong analytical capabilities, including evaluating data integrity, interpreting complex data, and developing strategic recommendations.

Education Qualification : Bachelors or master's degree in engineering (preferably computer science) (B.E., B.Tech, MCA) Experience: 610 years of experience designing AI/ML solutions for real[1]world applications . Expertise in designing AI/machine learning models for production environments , frameworks across CV, NN, LLMs, Robotics. 2. Strong understanding of AI algorithms and optimization techniques 3. Model Development: Experience training and fine-tuning ML/DL models using frameworks like TensorFlow or PyTorch. 4. Programming Skills: Proficiency in Python; familiarity with C++/CUDA is a plus for performance optimization. 5. MLOps Expertise: Knowledge of CI/CD pipelines, containerization (Docker/Kubernetes), and model versioning tools. 6. Data Handling: Skilled at working with large datasets using databases like SQL or NoSQL systems. Data wrangling: Experience working with large datasets, databases and storage formats/compression techniques

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. Your applications make previously complex tasks simple with the impact ranging from saving time, effort or money to re-defining normal. 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 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 Reach out for direction proactively in case of ambiguities or constraints Own the delivery of a major component in a service or a small service 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 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 o Comfortably produce and refactor code without assistance Test drive features in programming language of choice o Understand different major language paradigms (OOP/Functional) Understand presence of abstraction beneath language (JVM/CLR) Reason about complexity of algorithms (time and space) and code (cyclomatic) Debug code of 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 o 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

Proven implementation experience in Data Science, Machine Learning, Deep Learning, and NLP for multiple domains. Strong programming skills in Python, with experience in libraries such as Transformers (Hugging Face), PyTorch, or TensorFlow. 6+ years of experience in data science, with at least 2 years focused on LLMs or Generative AI. Hands-on experience with fine-tuning, prompt engineering, RAG (Retrieval-Augmented Generation), and LLM evaluation. Familiarity with vector databases and embedding techniques. Experience deploying models using APIs, Docker, and cloud platforms Strong analytical, problem-solving, and communication skills. Experience in ML Ops, Model deployment, Model lifecycle and management

Voicecare AI is a Healthcare Administration General Intelligence (HAGI) company for the back-office and the RCM industry. We are building a safety focused large and small conversational language model for the healthcare industry. Our mission is to dramatically improve access, adherence, and outcomes for the patients and the healthcare workforce through the application of generative AI. We are a venture-backed company partnering with the top healthcare stakeholders in the country. We are seeking an AI Prompt Engineer with expertise in advanced prompt engineering techniques to optimize interactions with large language models for healthcare applications. This role will focus on designing, refining, and testing highly effective prompts that enhance the accuracy, relevance, and safety of AI-generated responses while ensuring compliance with healthcare regulations. Responsibilities: Prompt Engineering Optimization Design and develop advanced prompt engineering techniques to improve LLM-generated responses for healthcare applications. Fine-tune contextual prompts for improved accuracy, coherence, and latency Conduct rigorous A/B testing and evaluation of prompt strategies to optimize performance. LLM Training and Customization Work closely with ML and NLP engineers to fine-tune and train SLM and LLMs for domain-specific tasks. Collaborate on data curation, augmentation, and preprocessing to improve model outputs. Generative AI Conversational AI Development Create prompts optimized for healthcare-related interactions, summarization, and decision support. Performance Monitoring Model Improvement Develop advanced metrics and evaluation frameworks to assess prompt effectiveness. Implement continuous learning mechanisms to refine AI responses based on user feedback. Collaboration Research Stay ahead of emerging trends in generative AI, LLM advancements, and NLP techniques via research papers Collaborate with healthcare professionals, data engineers, and software engineers to integrate AI solutions into real-world workflows. Skills and Experience: Advanced Prompt Engineering: Strong demonstrated experience in crafting effective, structured prompts for AI models. Generative AI LLMs: Hands-on experience working with GPT models, LLaMA, or other state-of-the-art open and closed sourced architectures. NLP Expertise: Experience in natural language processing techniques such as semantic search, intent recognition, and contextual AI. Programming: Strong proficiency in Python, with experience using LangChain,,Transformers A/B Testing Model Evaluation: Expertise in designing experiments to assess prompt effectiveness and model accuracy. Healthcare Industry Knowledge (Preferred): Familiarity with healthcare workflows, clinical documentation, and medical terminology. Qualifications: Bachelor s or Master s degree in Computer Science, AI, NLP, Data Science, or a related field. 2+ years of experience in prompt engineering, NLP, or generative AI. Experience working with LLM-based applications in regulated industries (healthcare preferred). Strong portfolio of AI-driven projects, showcasing prompt engineering and model interaction improvements. Relevant certifications (e.g., Prompt Engineering, AWS/GCP AI Certifications) are a plus. Candidates located in Bangalore is a plus Candidates from top universities is a plus

Who are we, you ask Interviews can be hard, especially at top tech companies like Google, Facebook, and Netflix. Many candidates fall short simply because they aren t adequately prepared. That s where we come in. Our acclaimed courses specialize in interview preparation and transitioning into high-demand tech fields such as AI, ML, and Data Science. At Interview Kickstart, current and former hiring managers have guided over 25,000 tech professionals through transformative career journeys, ensuring their success in landing coveted positions. Think of us as the everything store for career transitions and interview skill development. How do we do that, you ask We have a structured approach to interview success, which includes: Career Accelerator Course Comprehensive end-to-end courses and platform A roster of over 600+ instructors from leading Silicon Valley companies like Google, Facebook, Amazon, and Netflix A holistic approach that includes live classes, mock interviews, personalized coaching, resume refinement, career strategies, and invaluable referrals About the Role: The AD, University Partnerships, will be responsible for establishing and nurturing relationships with universities and educational institutions in India to co-create and promote innovative programs in AI. Key Responsibilities: Head the entire university partnerships vertical end-to-end Build and maintain strategic partnerships with universities and colleges Identify new partnership opportunities and propose collaborative programs Develop outreach strategies for engaging with academic institutions Manage and oversee partnership activities and events Act as the primary liaison between Interview Kickstart and partner institutions. Collaborate with internal teams to enhance program offerings based on feedback from partners Measure and report on the success of partnership initiatives Master s degree preferred; Bachelors degree with significant experience also considered. 5+ years of experience in partnership development or business development, particularly in educational settings.

Academics Manager- Data Science: About the Role: As an Academic Manager for the Data Science program at Newton School, you will lead the end-to-end academic experience driving curriculum delivery, student engagement, and mentor coordination. This role demands a strong grasp of data analytics and program management, high collaboration with cross-functional teams, and direct exposure to leadership, sales, and partnerships. If youre passionate about transforming education through innovative teaching strategies and hands-on learning, this is the role for you. Key Responsibilities Collaborate with cross-functional teams to serve as an Academic Manager, ensuring alignment with students learning goals and pedagogical intent. Deliver an engaging teaching experience from foundational concepts to practical application and ultimately, outcome-oriented education across diverse student groups and courses. Establish processes and implement innovative strategies for creating and utilizing technical content tailored for various stakeholders, including students, instructors, mentors, and teaching assistants. Handle the end-to-end experience for Data Science program at Newton School, from learning to mentor alignment to outcome. High face time with leadership team along with sales marketing partnerships Bonus Points / Preferred Qualifications Prior experience in a similar role at an ed-tech company or academic institution Mandatory good knowledge of data analytics stacks and program management. Demonstrated passion for revolutionising teaching methodologies and rethinking traditional education frameworks. Academics Manager- Data Science: About the Role: ...

Key Responsibilities: Demonstrates proficiency in at least one of the four areas: Computer Vision, Natural Language Processing, Machine Learning, and Forecasting. Expected to deepen this expertise further. Translates data-related client requirements into project tasks and deliverables, with an understanding of complex problems and solutions. Drives data solutions within projects, with a focus on innovation and value creation. Provides technical guidance and support to team members on data science methodologies, tools, and algorithms. Acts as a point of escalation for data science-related issues within the project, working towards efficient resolution. Reviews and ensures adherence to performance parameters for data science tasks, with a focus on data quality and model performance. Balances data science workload within the team, considering the skills and capacities of team members. Champions learning initiatives for upskilling and cross-skilling in data science within the team, including knowledge sharing sessions and promoting best practices. Contributes to the development of new data science solution offerings, leveraging insights from project work. Encourages team members to build technical expertise and innovate within the realm of data science. Begins to build and nurture client relationships with a focus on identifying opportunities to add value through data science. Starts to develop proficiency in at least one of data engineering, MLOps, product engineering, and cloud services, and applies this knowledge within projects. Begins to contribute to the organizations thought leadership in data science, such as writing articles, giving presentations, or contributing to internal forums. Actively identifies and communicates opportunities for the organization to enhance its data science capabilities, including new tools, methodologies, or service offerings. Keeps an eye on industry trends in data science to ensure personal growth and the competitive advantage of the organization

The purpose of this role is to provide support for the collection, analysis, and dissemination of insights to our clients Job Description: Key responsibilities: Integrates disparate datasets, conducts data preparation for analyses Applies data science methods to provide insights and recommendations to clients Delivers analytic outcomes based on project timelines and key milestones Maintains knowledge of new trends in the data science industry Develops and manages code used for analytics purposes Communicates findings and insights Knowledge on SQL, Tableau Location: Bangalore Brand: Iprospect Time Type: Full time Contract Type: Permanent

Job Summary As a Data Scientist at Bluphlux, you will play a pivotal role in leveraging advanced data analytics and machine learning techniques to enhance our AI-driven recruitment solutions. You will work closely with our engineering and product teams to develop and implement models that improve the accuracy and efficiency of our resume ranking system. Key Responsibilities Develop and implement machine learning models to enhance our recruitment platform. Analyze large datasets to extract meaningful insights and improve our algorithms. Collaborate with cross-functional teams to integrate data-driven solutions into our products. Continuously monitor and refine models to ensure optimal performance. Stay updated with the latest advancements in data science and machine learning to drive innovation. Required Qualifications Bachelors or Masters degree in Data Science, Computer Science, Statistics, or a related field. Proven experience as a Data Scientist or similar role. Strong knowledge of machine learning algorithms and data analysis techniques. Proficiency in programming languages such as Python or R. Experience with data visualization tools and techniques. Preferred Skills Experience with natural language processing (NLP) and language models. Familiarity with cloud platforms such as AWS or Azure. Strong problem-solving skills and attention to detail. Excellent communication and teamwork abilities. Also important: If the candidate says his notice period is more than 2 months then try to negotiate.

Contract Type: Regular 12 months If the chemistry is right, we can make a difference at LANXESS: speed up sports, make beverages last longer, add more color to leisure time and much more. As a leading specialty chemicals group, we develop and produce chemical intermediates, additives, specialty chemicals and high-tech plastics. With more than 13,000 employees. Be part of it! Job Highlights Please shortly describe the most important, appealing 5 to 8 tasks of this position: Support business reporting and analytics by maintaining dashboards and ensuring data accuracy. Develop and monitor ETL pipelines to enable efficient data flow across systems. Create interactive visualizations and reports using SAP Analytics Cloud (SAC). Model and integrate data from diverse sources using SAP Datasphere. Assist in analyzing business processes and identifying bottlenecks using Celonis. Collaborate with teams to understand data needs and optimize reporting solutions. Requirements Please enter up to 8 requirements -with at least 4 must-haves which are vital to fill out the job right from the beginning: Bachelor of Engineering /Bachelor of Science 0 to 12 month C SQL Python for Data Science JavaScript What we offer you Compensation: We offer competitive compensation packages, inclusive of a global bonus program and an individual performance bonus program. Comprehensive Benefits: We provide a mixture of various benefits to support your financial security, health and wellbeing including retirement plans, health programs, life insurance and medical care. Work-Life Flexibility: We support you in maintaining a balance between working hours and personal life. With our global Xwork program, we offer flexible working arrangements in all countries in which we operate. Training Development: We are committed to your professional and personal development and encourage you in the ongoing pursuit of education, training and knowledge through both formal and informal learning. Diversity: For us, talent matters, we welcome everyone who commits to our values. We strongly believe that including diverse perspectives makes us more innovative and enhances our competitiveness. Therefore, we embrace the uniqueness of every single individual and are truly committed to supporting our people in developing their individual potential. Join the LANXESS team!

Contract Type: Regular 12 months If the chemistry is right, we can make a difference at LANXESS: speed up sports, make beverages last longer, add more color to leisure time and much more. As a leading specialty chemicals group, we develop and produce chemical intermediates, additives, specialty chemicals and high-tech plastics. With more than 13,000 employees. Be part of it! Job Highlights Support business reporting and analytics by maintaining dashboards and ensuring data accuracy. Develop and monitor ETL pipelines to enable efficient data flow across systems. Create interactive visualizations and reports using SAP Analytics Cloud (SAC). Model and integrate data from diverse sources using SAP Datasphere. Assist in analyzing business processes and identifying bottlenecks using Celonis. Collaborate with teams to understand data needs and optimize reporting solutions. Requirements Bachelor of Engineering /Bachelor of Science 0 to 12 month experience C Language SQL Python for Data Science JavaScript What we offer you Compensation: We offer competitive compensation packages, inclusive of a global bonus program and an individual performance bonus program. Comprehensive Benefits: We provide a mixture of various benefits to support your financial security, health and wellbeing including retirement plans, health programs, life insurance and medical care. Work-Life Flexibility: We support you in maintaining a balance between working hours and personal life. With our global Xwork program, we offer flexible working arrangements in all countries in which we operate. Training Development: We are committed to your professional and personal development and encourage you in the ongoing pursuit of education, training and knowledge through both formal and informal learning. Diversity: For us, talent matters, we welcome everyone who commits to our values. We strongly believe that including diverse perspectives makes us more innovative and enhances our competitiveness. Therefore, we embrace the uniqueness of every single individual and are truly committed to supporting our people in developing their individual potential. Join the LANXESS team!

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. Location: Start offshore then work out of Vietnam for 1 year. Core Skill - Pharma SME, SQL, Powerpoint, Excel, Storyboarding, Client Management, Data Science Lead the engagement overseeing the training, roadmap development, and implementation of AI projects Collaborate closely with cross-functional teams, including data scientists, engineers, and business stakeholders to ensure alignment of project goals with business objectives. Drive the development and execution of project plans, including timelines, resource allocation, and risk management to ensure successful project delivery within scope, budget, and timeline constraints Serve as the primary point of contact for the client, fostering strong relationships and managing expectations to ensure a high level of customer satisfaction throughout the engagement. Monitor project progress and performance, proactively identifying and addressing any issues or obstacles that may arise, and implementing corrective actions as needed to keep the project on track. If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us! Not the right fitLet 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!

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! About Quantiphi Quantiphi is a cutting-edge AI and data science company focused on delivering transformative solutions through innovation and technology. Phi Labs (RD) spearheads research and development in advanced machine learning, tackling complex real-world challenges through cutting-edge algorithmic innovation. Role Overview We are seeking a highly skilled Senior Machine Learning Engineer to join Phi Labs (RD), specializing in cutting-edge AI technologies including agentic AI, multimodal learning, and generative AI. You will design and develop innovative models that enable autonomous, context-aware systems, integrate multiple data modalities (text, vision, audio, etc.), and create state-of-the-art generative models. This role offers a unique opportunity to push the boundaries of AI capabilities in a research-driven environment. Key Responsibilities Design and develop advanced machine learning models focusing on agentic AI enabling autonomous agents that perceive, reason, and act effectively in complex environments. Develop multimodal AI systems that seamlessly integrate and reason across diverse data types such as images, text, video, and audio. prototype and implement generative AI models (e.g., GANs, diffusion models, large language models) for innovative applications. Demonstrate deep expertise in core NLP concepts including tokenization, embeddings, attention mechanisms, and transformer architectures (e.g., BERT, GPT, T5, and their variants). Stay current with cutting-edge research by actively reading, analyzing, and synthesizing insights from recent ML/AI papers to identify novel techniques and breakthrough applications for product innovation. Collaborate with data scientists, engineers, and product teams to build scalable ML pipelines and deploy models into production. Optimize and fine-tune large-scale models to improve performance, efficiency, and interpretability. Lead exploratory research efforts to identify novel AI techniques and applications, contributing to publications, patents, and technology roadmaps. Mentor junior team members and promote best practices in AI research and engineering. Design and implement state-of-the-art machine learning models for complex, large-scale problems. Proven ability to translate research papers into practical implementations and production-ready solutions Qualifications Bachelor s degree in Computer Science, Machine Learning, AI, or related fields. with 4+ years of industry experience in Machine Learning engineering, preferably with a strong focus on research and development (RD). Master s degree in Computer Science, Machine Learning, AI, or related fields. with 3+ years of industry experience in Machine Learning engineering, preferably with a strong focus on research and development (RD) Deep expertise in developing and deploying agentic AI systems , multimodal learning models , and generative AI architectures . Proficiency with Python and ML frameworks like TensorFlow, Pytorch, Hugging Face Transformers, or similar. Familiarity with cloud platforms (AWS, GCP, Azure) and container orchestration (Docker, Kubernetes). Strong problem-solving, communication, and collaboration skills. Preferred Skills Hands-on experience with reinforcement learning, large language models, diffusion models, or vision-language models. Knowledge of MLOps and model interpretability/explain ability frameworks. Experience with real-time AI systems or human-AI interaction models. If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us !

Total Number of Openings 1 About the position: The Facilities Engineering Information Management Engineer is part of the Technical Services Team within the Chevron ENGINE Center and supports the process, guidelines, and best practices for managing enterprise facilities information. This role involves ensuring data integrity, security, and compliance with engineering functional IM requirements, as well as supporting the development and maintenance of engineering information systems. Key responsibilities: 1. Functional Data Governance: Establish and support the delivery of data governance policies and procedures to ensure data integrity, security, and compliance with regulatory requirements. 2. Information Systems Management: Support the development, implementation, and maintenance of engineering information systems, ensuring they meet the organization's needs and support business objectives. 3. Collaboration: Work closely with various departments, including IT, digital engineering, and business units, to understand their information needs and provide guidance about solutions. 4. Training and Support: Provide training and support to staff on information management best practices and the use of information systems. 5. Continuous Improvement: Identify opportunities for improving facilities information management processes and systems, and implement changes to enhance efficiency and effectiveness. Required Qualifications: Bachelor s degree in a related engineering discipline (mechanical, chemical, etc.) (B.E./B.Tech.) from a deemed/recognized (AICTE) university Prior capital projects on the engineering management and or information management teams. Preferred Qualifications: Data engineering or data science certification Experience with data management tools and software. 5+ years of Information Management experience, knowledgeable with several Engineering IM systems and is able to provide guidance to users of these systems, including training, sharing best practices and driving adoption of IM practices. Chevron ENGINE supports global operations, supporting business requirements across the world. Accordingly, the work hours for employees will be aligned to support business requirements. The standard work week will be Monday to Friday. Working hours are 8:00am to 5:00pm or 1:30pm to 10:30pm. Chevron participates in E-Verify in certain locations as required by law.

Overview Provide data science / analytics support for the Perfect Store group who works with AMESA Sectors, a part of the broader Global Capability Center in Hyderabad, India. This role will help to enable accelerated growth for PepsiCo by building Retailer Value Offer and Shopper Value offer, aligning data, and performing advance analytics approaches for PepsiCo to drive actionable insights at Business Unit, store level. Key responsibilities will be to build and manage advance analytics-deep dives in a cloud environment, manage data and prepare data to be used for advanced analytics, artificial intelligence, machine learning, and deep learning projects. Responsibilities Support Perfect Store (Demand Accelerator) team with delivery of Retail Value Offer, Shopper Value Offer framework for AMESA sector Work within cloud environment (e.g., Microsoft Azure) Build and maintain codes for use in advanced analytics, artificial intelligence, and machine learning projects Clean and prepare data for use in advanced analytics, artificial intelligence, and machine learning projects Build deep dive analysis reports in cloud environment (using Pyspark and Python) to support BU Ask Develop, maintain, and apply statistical techniques to business questions - including Distribution, Outliers, visualizations etc. Support relationships with the key end-user stakeholders with Business Units-AMESA Own flawless execution AND Quality Check of analytics exercises Responsible for managing multiple priorities; being able to manage deadlines and deliverables Lead communication with Business Partners and potentially end-users on matters such as available capacity, changes of scope of existing projects and planning of future projects Deliver outputs in line with the agreed timelines and formats while updating existing project management tools Flag and monitor any business risks related to delivering the requested outputs Qualifications An experienced analytics profession with 4 years+ experience EducationB.Tech or any bachelors degree. Masters are optional Proficient with Python, SQL, Excel and PowerBI Plus, to have knowledge on Machine Learning algorithms Good to have Retail experience Strong collaboratorInterested and motivated by working with others. Owns the full responsibility of deliverables, quality check thoroughly, look for and work on improvements in the process Actively creates and participates in opportunities to co-create solutions across markets. Willing and able to embrace Responsive Ways of Working

Qualification & Experience: Minimum of 8 years of experience as a Data Scientist/Engineer with demonstrated expertise in data engineering and cloud computing technologies. Technical Responsibilities Excellent proficiency in Python, with a strong focus on developing advanced skills. Extensive exposure to NLP and image processing concepts. Proficient in version control systems like Git. In-depth understanding of Azure deployments. Expertise in OCR, ML model training, and transfer learning. Experience working with unstructured data formats such as PDFs, DOCX, and images. O Strong familiarity with data science best practices and the ML lifecycle. Strong experience with data pipeline development, ETL processes, and data engineering tools such as Apache Airflow, PySpark, or Databricks. Familiarity with cloud computing platforms like Azure, AWS, or GCP, including services like Azure Data Factory, S3, Lambda, and BigQuery. Tool Exposure: Advanced understanding and hands-on experience with Git, Azure, Python, R programming and data engineering tools such as Snowflake, Databricks, or PySpark. Data mining, cleaning and engineering: Leading the identification and merging of relevant data sources, ensuring data quality, and resolving data inconsistencies. Cloud Solutions Architecture: Designing and deploying scalable data engineering workflows on cloud platforms such as Azure, AWS, or GCP. Data Analysis : Executing complex analyses against business requirements using appropriate tools and technologies. Software Development : Leading the development of reusable, version-controlled code under minimal supervision. Big Data Processing : Developing solutions to handle large-scale data processing using tools like Hadoop, Spark, or Databricks. Principal Duties & Key Responsibilities: Leading data extraction from multiple sources, including PDFs, images, databases, and APIs. Driving optical character recognition (OCR) processes to digitize data from images. Applying advanced natural language processing (NLP) techniques to understand complex data. Developing and implementing highly accurate statistical models and data engineering pipelines to support critical business decisions and continuously monitor their performance. Designing and managing scalable cloud-based data architectures using Azure, AWS, or GCP services. Collaborating closely with business domain experts to identify and drive key business value drivers. Documenting model design choices, algorithm selection processes, and dependencies. Effectively collaborating in cross-functional teams within the CoE and across the organization. Proactively seeking opportunities to contribute beyond assigned tasks. Required Competencies: Exceptional communication and interpersonal skills. Proficiency in Microsoft Office 365 applications. Ability to work independently, demonstrate initiative, and provide strategic guidance. Strong networking, communication, and people skills. Outstanding organizational skills with the ability to work independently and as part of a team. Excellent technical writing skills. Effective problem-solving abilities. Flexibility and adaptability to work flexible hours as required. Key competencies / Values: Client Focus : Tailoring skills and understanding client needs to deliver exceptional results. Excellence : Striving for excellence defined by clients, delivering high-quality work. Trust : Building and retaining trust with clients, colleagues, and partners. Teamwork : Collaborating effectively to achieve collective success. Responsibility : Taking ownership of performance and safety, ensuring accountability. People : Creating an inclusive environment that fosters individual growth and development.

Role Summary : We are seeking a highly skilled Senior Data Science Consultant with 8+ years of experience to lead an internal optimization initiative. The ideal candidate should have a strong background in data science, operations research, and mathematical optimization, with a proven track record of applying these skills to solve complex business problems. This role requires a blend of technical depth, business acumen, and collaborative communication. A background in internal efficiency/operations improvement or cost/resource optimization projects is highly desirable. Key Responsibilities : - Lead and contribute to internal optimization-focused data science projects from design to deployment. - Develop and implement mathematical models to optimize resource allocation, process performance, and decision-making. - Use techniques such as linear programming, mixed-integer programming, heuristic and metaheuristic algorithms. - Collaborate with business stakeholders to gather requirements and translate them into data science use cases. - Build robust data pipelines and use statistical and machine learning methods to drive insights. - Communicate complex technical findings in a clear, concise manner to both technical and non-technical audiences. - Mentor junior team members and contribute to knowledge sharing and best practices within the team. Required Skills And Qualifications : - Masters or PhD in Data Science, Computer Science, Operations Research, Applied Mathematics, or related fields. - Minimum 8 years of relevant experience in data science, with a strong focus on optimization. - Expertise in Python (NumPy, Pandas, SciPy, Scikit-learn), SQL, and optimization libraries such as PuLP, Pyomo, Gurobi, or CPLEX. - Experience with end-to-end lifecycle of internal optimization projects. - Strong analytical and problem-solving skills. - Excellent communication and stakeholder management abilities. Preferred Qualifications : - Experience working on internal company projects focused on logistics, resource planning, workforce optimization, or cost reduction. - Exposure to tools/platforms like Databricks, Azure ML, or AWS SageMaker. - Familiarity with dashboards and visualization tools like Power BI or Tableau. - Prior experience in consulting or internal centers of excellence (CoE) is a plus.

Role Summary : We are seeking a highly skilled Senior Data Science Consultant with 8+ years of experience to lead an internal optimization initiative. The ideal candidate should have a strong background in data science, operations research, and mathematical optimization, with a proven track record of applying these skills to solve complex business problems. This role requires a blend of technical depth, business acumen, and collaborative communication. A background in internal efficiency/operations improvement or cost/resource optimization projects is highly desirable. Key Responsibilities : - Lead and contribute to internal optimization-focused data science projects from design to deployment. - Develop and implement mathematical models to optimize resource allocation, process performance, and decision-making. - Use techniques such as linear programming, mixed-integer programming, heuristic and metaheuristic algorithms. - Collaborate with business stakeholders to gather requirements and translate them into data science use cases. - Build robust data pipelines and use statistical and machine learning methods to drive insights. - Communicate complex technical findings in a clear, concise manner to both technical and non-technical audiences. - Mentor junior team members and contribute to knowledge sharing and best practices within the team. Required Skills And Qualifications : - Masters or PhD in Data Science, Computer Science, Operations Research, Applied Mathematics, or related fields. - Minimum 8 years of relevant experience in data science, with a strong focus on optimization. - Expertise in Python (NumPy, Pandas, SciPy, Scikit-learn), SQL, and optimization libraries such as PuLP, Pyomo, Gurobi, or CPLEX. - Experience with end-to-end lifecycle of internal optimization projects. - Strong analytical and problem-solving skills. - Excellent communication and stakeholder management abilities. Preferred Qualifications : - Experience working on internal company projects focused on logistics, resource planning, workforce optimization, or cost reduction. - Exposure to tools/platforms like Databricks, Azure ML, or AWS SageMaker. - Familiarity with dashboards and visualization tools like Power BI or Tableau. - Prior experience in consulting or internal centers of excellence (CoE) is a plus.