5534 Data Science Jobs - Page 29

We are looking for a Data Scientist to join our Technology team at Clarivate. You will get the opportunity to work on interesting IP data and interesting challenges to create insights and drive business acumen to add value to our world class products and services About You experience, education, skills, and accomplishments Advanced degree in Computer Science, Statistics, Engineering, Physics, Mathematics, or other quantitative majors, or equivalent work experience. Atleast 2 years of industry experience in the application of ML and NLP Excellent understanding of ML, NLP, and statistical methodologies in a data analytics environment Good programming skills (Python, Java, R or C++) It would be great if you have, Experience with large language model Ability to test ideas and adapt methods quickly end to end from data extraction to implementation and validation Experience with search engines, classification algorithms, recommendation systems, and relevance evaluation methodologies What will you be doing in this role? Researches and identifies Machine Learning (ML) and Natural Language Processing (NLP) methods and algorithms to solve specific problems to improve user experience on IP & Science data and websites Implements these methods and devises appropriate test plans to validate and compare the different approaches Identifies new applications of ML and NLP in the context of Clarivate Analytics extensive sets of content and data Explores existing data for insights and recommends additional sources of data for improvements

As a Front-End Developer, you will design and build user interfaces for both internal and customer-facing products. Youll work closely with Engineers, Data Scientists, DevOps, and Product Managers to deliver intuitive, responsive user experiences. This role also offers opportunities to expand your skills in back-end development and AI/ML development, depending on your interests and experience. Our team performs diverse tasks so being flexible is key. About You experience, education, skills, and accomplishments 5+ experience years in UI development with a strong focus on Angular. Strong communication skills, proactive mindset, & problem-solving abilities. A passion for learning, curiosity, and a drive for innovation. Hands-on experience is our top priority, which is why its listed first. A bachelors degree is a plus but takes a backseat in importance. Solid experience with Angular. Proven ability to develop high-quality, responsive UIs. Flexibility in working hours to accommodate our diverse team. Strong communication and collaborative skills. It would be great if you also had . . . Experience with Python and back-end frameworks such as FastAPI. A keen eye for UI/UX design. What will you be doing in this role? Develop and enhance user interfaces across a range of applications. Work closely with global engineering, data science, and product teams. Contribute to UI/UX design discussions and front-end architecture decisions. Communicate effectively and take initiative to work independently when needed.

We are looking for a ML Ops Engineer to join our Technology team at Clarivate. You will get the opportunity to work in a cross-cultural work environment while working on the latest web technologies with an emphasis on user-centered design. About You (Skills & Experience Required) Bachelors or masters degree in computer science, Engineering, or a related field. 5+ years of experience in machine learning, data engineering, or software development. Good experience in building data pipelines, data cleaning, and feature engineering is essential for preparing data for model training. Knowledge of programming languages (Python, R), and version control systems (Git) is necessary for building and maintaining MLOps pipelines. Experience with MLOps-specific tools and platforms (e.g., Kubeflow, MLflow, Airflow) can streamline MLOps workflows. DevOps principles, including CI/CD pipelines, infrastructure as code (IaaC), and monitoring is helpful for automating ML workflows. Experience with atleast one of the cloud platforms (AWS, GCP, Azure) and their associated services (e.g., compute, storage, ML platforms) is essential for deploying and scaling ML models. Familiarity with container orchestration tools like Kubernetes can help manage and scale ML workloads efficiently. It would be great if you also had, Experience with big data technologies (Hadoop, Spark). Knowledge of data governance and security practices. Familiarity with DevOps practices and tools. What will you be doing in this role? Model Deployment & Monitoring : Oversee the deployment of machine learning models into production environments. Ensure continuous monitoring and performance tuning of deployed models. Implement robust CI/CD pipelines for model updates and rollbacks. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Communicate project status, risks, and opportunities to stakeholders. Provide technical guidance and support to team members. Infrastructure & Automation : Design and manage scalable infrastructure for model training and deployment. Automate repetitive tasks to improve efficiency and reduce errors. Ensure the infrastructure meets security and compliance standards. Innovation & Improvement : Stay updated with the latest trends and technologies in MLOps. Identify opportunities for process improvements and implement them. Drive innovation within the team to enhance the MLOps capabilities.

Salary : 25 to 40 LPA Exp: 4 to 8 years Location :/Gurugram/Bangalore/Hyderabad Notice: Immediate to 30 days..!! Roles & responsibilities: 3+ years exp on Python , ML and Banking model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 3+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Create experiments and prototype implementations of new learning algorithms and prediction techniques Collaborate with product managers, and stockholders to design and implement software solutions for science problems Use machine learning best practices to ensure a high standard of quality for all of the team deliverables Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization Hands-on experience with IFRS 9 models and regulations. Data Analysis: Analyze large datasets to identify trends and risk factors, ensuring data quality and integrity. Statistical Analysis: Utilize advanced statistical methods to build robust models, leveraging expertise in R programming. Collaboration: Work closely with data scientists, business analysts, and other stakeholders to align models with business needs. Continuous Improvement: Stay updated with the latest methodologies and tools in credit risk modeling and R programming.

Salary : 20 to 35 LPA Exp: 3 to 8 years Location :/Gurugram/Bangalore/Hyderabad Notice: Immediate to 30 days..!! Roles & responsibilities: 3+ years exp on Python , ML and Banking model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 3+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Create experiments and prototype implementations of new learning algorithms and prediction techniques Collaborate with product managers, and stockholders to design and implement software solutions for science problems Use machine learning best practices to ensure a high standard of quality for all of the team deliverables Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization Hands-on experience with IFRS 9 models and regulations. Data Analysis: Analyze large datasets to identify trends and risk factors, ensuring data quality and integrity. Statistical Analysis: Utilize advanced statistical methods to build robust models, leveraging expertise in R programming. Collaboration: Work closely with data scientists, business analysts, and other stakeholders to align models with business needs. Continuous Improvement: Stay updated with the latest methodologies and tools in credit risk modeling and R programming.

Objectives Of This Role Design and implement efficient, scalable backend services using Python. Work closely with healthcare domain experts to create innovative and accurate diagnostics solutions. Build APIs, services, and scripts to support data processing pipelines and front-end applications. Automate recurring tasks and ensure robust integration with cloud services. Maintain high standards of software quality and performance using clean coding principles and testing practices. Collaborate within the team to upskill and unblock each other for faster and better outcomes. Primary Skills Python Development Proficient in Python 3 and its ecosystem Frameworks: Flask / Django / FastAPI RESTful API development Understanding of OOPs and SOLID design principles Asynchronous programming (asyncio, aiohttp) Experience with task queues (Celery, RQ) Rust programming experience for systems-level or performance-critical components Testing & Automation Unit Testing: PyTest / unittest Automation tools: Ansible / Terraform (good to have) CI/CD pipelines DevOps & Cloud Docker, Kubernetes (basic knowledge expected) Cloud platforms: AWS / Azure / GCP GIT and GitOps workflows Familiarity with containerized deployment & serverless architecture Bonus Skills Data handling libraries: Pandas / NumPy Experience with scripting: Bash / PowerShell Functional programming concepts Familiarity with front-end integration (REST API usage, JSON handling) Other Skills Innovation and thought leadership Interest in learning new tools, languages, workflows Strong communication and collaboration skills Basic understanding of UI/UX principles Skills:- Rust, Python, Artificial Intelligence (AI), Machine Learning (ML), Data Science, Data Analytics and pandas

About Company Founded in 2011, ReNew, is one of the largest renewable energy companies globally, with a leadership position in India. Listed on Nasdaq under the ticker RNW, ReNew develops, builds, owns, and operates utility-scale wind energy projects, utility-scale solar energy projects, utility-scale firm power projects, and distributed solar energy projects. In addition to being a major independent power producer in India, ReNew is evolving to become an end-to-end decarbonization partner providing solutions in a just and inclusive manner in the areas of clean energy, green hydrogen, value-added energy offerings through digitalisation, storage, and carbon markets that increasingly are integral to addressing climate change. With a total capacity of more than 13.4 GW (including projects in pipeline), ReNew’s solar and wind energy projects are spread across 150+ sites, with a presence spanning 18 states in India, contributing to 1.9 % of India’s power capacity. Consequently, this has helped to avoid 0.5% of India’s total carbon emissions and 1.1% India’s total power sector emissions. In the over 10 years of its operation, ReNew has generated almost 1.3 lakh jobs, directly and indirectly. ReNew has achieved market leadership in the Indian renewable energy industry against the backdrop of the Government of India’s policies to promote growth of this sector. ReNew’s current group of stockholders contains several marquee investors including CPP Investments, Abu Dhabi Investment Authority, Goldman Sachs, GEF SACEF and JERA. Its mission is to play a pivotal role in meeting India’s growing energy needs in an efficient, sustainable, and socially responsible manner. ReNew stands committed to providing clean, safe, affordable, and sustainable energy for all and has been at the forefront of leading climate action in India. Job Description As a Senior Data Scientist, you will be responsible for providing simple and intuitive solutions to the most complex problems in renewable industry. This will involve building machine learning and deep learning models which are coupled with contextual business knowledge. You will also use both management experience and data science expertise to lead analytics projects and mentor junior data scientists . You will be an integral part of conceptualizing, scoping and delivering complex analytics projects . You will do and oversee the development, testing and maintenance of analytical models which mimic business decisions. You will work with a world-class team of site managers, subject experts, data engineers and data scientists to build the next generation data-driven renewable company. Additionally, you will be responsible for continuously identifying opportunities to improve the ways of working and structuring within the analytics center of excellence. Roles and Responsibilities Implement data science solutions which may involve machine learning or data science techniques to increase and optimize outputs Assess the effectiveness and accuracy of data sources and data gathering techniques Manage analytics strategy across multiple use cases Provide analytical expertise in the process of model development, refining and implementation in a variety of analytics problems spread across a variety of domains Oversee and mentor large team of associate and junior-level data scientists, de-bottlenecking issues related to project execution Work closely with translators and business teams to develop and implement analytics solutions Collaborate with the engineering team to integrate data science solutions into production environments and deploy scalable solutions Communicate complex technical concepts and results to non-technical stakeholders in a clear and concise manner Acquire extensive knowledge of renewables industry practices and implement tailor made techniques to solve problems relevant to the same Promote a culture of continuous learning, sharing knowledge, and staying up-to-date with emerging technologies and best practices in data science Profile & Eligible Criteria Bachelor's in Computer Science, Data Science, Statistics, Mathematics, or a related field. Master's degree preferred Proven experience of 4-6 years as a Data Scientist or in a similar role, with a strong track record of delivering successful data science projects Sound theoretical and practical knowledge of working in statistical analysis, machine learning techniques, and deep learning frameworks with solid of understanding of techniques related to regression, classification, NLP, Computer Vision, Generative AI Proficiency in Python is a must. Proficiency in SQL for data manipulation is a plus Worked in developing analytics solutions in 3-4 domains Excellent communication skills to effectively manage a team and collaborate with stakeholders in cross-functional teams Communication skills: Basic level of articulation of theoretical concepts Ability to communicate with cross functional roles is a plus Teamwork: Displays ability to work both as an individual and as a self-motivated team player Has worked in large teams with an agile setup in the past

The Team: As a member of the S&P Global Market Intelligence Technology team, you'll join a dynamic group of talented and ambitious engineers. Our software engineers are integral to the full lifecycle of our products, from design through release. You'll be expected to participate in the design, development, troubleshooting, and debugging of software programs to enhance existing products and develop new ones. Collaboration with QA Analysts, Business Analysts, and Infrastructure Teams will be key to your role. Impact: In this position, you'll be responsible for creating technical designs, developing high-performing web applications, and ensuring quality through a comprehensive testing process. You'll work with cutting-edge technologies, where innovation and delivery are rewarded. You will be part of the team that supports the search application on our company-wide product platform, providing essential information to the global finance industry and beyond. What's in it for you: We are currently seeking a Lead Software Developer who is enthusiastic about new and emerging search technologies. This role offers the chance to work alongside highly skilled search engineers, including experts in Data Science and Machine Learning. Responsibilities: Architect, design, and develop solutions within a multifunctional Agile team to support key business needs for the platform's search application. Design, implement, and test front-end solutions for the web platform application. Design, implement, and test middleware applications within the search application architecture. Engineer components and common services focused on integration with advanced AI systems. Collaborate with AI/ML teams to integrate next-generation reasoning and agent orchestration. Apply best practices in software engineering while leveraging automation throughout solution delivery. Collaborate and lead effectively with technical and non-technical stakeholders. Must be able to articulate technical solutions through documentation, diagrams, code comments, etc. Qualifications: Basic Qualifications: Bachelors degree in computer science, Information Systems, or Engineering. 9-12 years of significant experience in developing web applications and services. Proficiency in object-oriented design and design patterns. Experience in application development using mainstream programming languages and frameworks. Familiarity with autonomous AI systems and interest in AI planning tools. Experience in backend integration involving AI APIs. Solid experience in web development technologies. Minimum of 3 years of experience in working with search technologies. Knowledge of cloud computing platforms, containerization, and orchestration. Understanding of modern communication protocols. Experience with machine learning models for enhancing application features is advantageous. Proficient in Agile development methodologies including familiarity with test-driven or behavior-driven development approaches and related testing frameworks. Preferred Qualifications: Additional experience in application development using other programming languages and frameworks is beneficial. Familiarity with distributed systems and messaging protocols. Experience in handling large data volumes with applications/middleware.

We are seeking a highly skilled and motivated Lead Data Scientist to join our team. In this role, you will leverage cutting-edge AI and machine learning technologies to solve complex business problems, design innovative data science solutions, and deliver projects that exceed client expectations. As a leader, you will manage a team of data scientists, collaborate with cross-functional data teams, and provide strategic and technical direction in data science while driving innovation in our product and solution offerings. Mandatory Technical Skills: • Strong statistical and machine learning intuition to address new and unique challenges. • Ability to design, develop and deploy end-to-end data science solutions, POCs and production-grade applications. • Strong proficiency in Python with OOP principles - ( 4 years of experience) • Experience developing APIs using Flask or Fast API frameworks – ( 2 years of experience) • Integration knowledge with front-end applications – ( 1 year of experience) • Expertise in version control systems (e.g., GitHub, GitLab, Azure DevOps) - ( 3 years of experience) • Familiarity with task management tools (e.g., Jira, Azure DevOps) - ( 2 years of experience) • Proficiency in databases, including SQL, NoSQL and vector databases – ( 2 + years of experience) • Working knowledge of ML pipelines and CI/CD. • Experience with at least one of the cloud platforms (Azure, AWS, GCP) - ( 2 + years of experience) Core Excellence Areas (CEA): Candidates must have a strong understanding of fundamentals and good hands-on expertise in at least THREE of the following areas (mention your areas while applying): NLP Generative AI (NLP) Computer Vision Time Series Forecasting Recommendation Systems and Optimization Roles & Responsibilities: • Advanced AI/ML/Gen AI Implementation: o Leverage advanced AI and machine learning techniques to address complex business challenges. o Design, develop, and deliver innovative data science solutions. • Architectural Design: o Develop end-to-end generative AI solutions. o Build scalable architectures for AI/ML models and applications. • Team Leadership: o Lead and mentor a team of data scientists, fostering professional growth and technical excellence. o Provide strategic and technical guidance to ensure the team delivers high-quality projects. • Cross-functional Collaboration: o Work closely with data engineering, product, and business teams to align on objectives and integrate solutions. • Client Engagement : Maintain high levels of client satisfaction through excellent communication, delivering impactful solutions, and building strong relationships. • Innovation: Ideate and implement new approaches for products and solutions, ensuring they stay at the forefront of technology. Nice to have Skills: • Hands-on experience with PySpark, large-scale data processing using distributed frameworks and parallel processing. • Hands-on experience with Azure AI stack, ETL processes, and integration with analytics tools (e.g., Power BI, Tableau) • Knowledge of deep learning frameworks (e.g., PyTorch, TensorFlow, Keras). • Experience with cloud platforms and MLOps practices. • Project management skills to lead initiatives effectively. • Knowledge of graph-based query languages (e.g., Cypher, Gremlin) and Proficiency in graph databases. Experience & Educational Qualifications: • Minimum of 5+ years of experience solving complex machine learning problems. • At least 2+ years of hands-on experience in each of the chosen Core Excellence Areas. • Minimum of 1 year leading and managing ML projects end-to-end. • Bachelor’s degree in computer science, Data Science, or related field (Master’s/PG in AI/ML/DS preferred).

Youll need to work closely with Data Scientists, Data Engineers, UI Engineers, Software Developers, and DevOps teams to design and implement end-to-end AI/GenAI solutions. You will: Be responsible for training, integrating, and deploying AI/GenAI/ML models in Azure/AWS ecosystem. Design and implement enterprise-quality AI/GenAI/ML applications. Optimize deployed models for performance, scalability, and efficiency. Debug and troubleshoot issues in AI/GenAI/ML pipelines and systems. Monitor model performance in production and retrain as necessary to maintain accuracy. Stay conversant with the latest trends, techniques, and tools in GenAI pipelines. Experiment with state-of-the-art methods and propose innovative solutions to complex problems. Excellent written and verbal communication skills required. Technical Skills: Excellent Python, PySpark, and SQL skills. Knowledge of GenAI stack is a big plus. Experience with Azure DevOps / AWS DevOps for ML projects, Databricks, CI/CD pipelines, and repositories. Experience with Azure/AWS MLOps/Kubeflow. Experience of training and deploying AI/GenAI/ML models into production environments and integrating them with existing systems. Knowledge of containerization tools like Docker, orchestration systems like Kubernetes, and inference platforms like Kserve / NVIDIA Triton. Knowledge of Azure / AWS ETL pipelines is a plus (but not mandatory). Soft Skills: Excellent written and verbal communication. Exceptional problem-solving and multitasking skills in a fast-paced environment. Experience Level: 8+ years of experience in ML Engineering.

As an Assistant Professor in Computer Science and Information Science at Intellipaat, you will play a key role in shaping the academic experience of our learners. Your passion for teaching, academic excellence, and commitment to innovation in education will be instrumental in driving the success of our programs. In this role, you will deliver engaging lectures and tutorials, mentor students in their academic projects and research endeavors, and contribute to curriculum design using modern pedagogical methods. You will provide practical exposure to industry-relevant tools and skills, ensuring that our students are well-prepared for the professional world. Additionally, you will actively participate in departmental activities such as exam coordination, paper setting, invigilation, and evaluation of answer scripts. Your involvement in accreditation and quality assurance processes will contribute to enhancing institutional performance and maintaining academic standards. Furthermore, you will have the opportunity to initiate and lead research projects with a focus on innovation and societal impact. Collaborating with academic leadership and fostering interdisciplinary connections both within and outside the institution will be key aspects of your role. To excel in this position, you should hold an M.Tech in Computer Science Engineering or Information Science Engineering with a minimum of 60% marks in both your undergraduate and postgraduate studies. A strong background in teaching or relevant academic experience spanning 14 years is preferred. Proficiency in Python, Data Science, Machine Learning Algorithms, AI, Computer Vision, NLP, and Web development technologies such as HTML, CSS, JS, React, and Node.js (MERN Stack) is essential. Joining Intellipaat offers you the opportunity to work in a rapidly growing EdTech company, where you will be exposed to academic innovation, digital pedagogy, and cutting-edge tech education. You will thrive in a collaborative environment that values research, learning, and leadership development. Continuous career growth is supported through structured faculty training programs and opportunities for upskilling.,

At Teradata, you will play a crucial role as a Sr. Data Scientist by collaborating with the Region Solution Leads, Services sales teams, Teradata Account Teams, and Product Management Team to support them on pre-sales/solutions activities. Your responsibilities will include conceptualizing Use case solutions, supporting Pre-Sales initiatives, and demonstrating strong technical and interpersonal skills along with a deep understanding of Business use cases, Teradata technology, ClearScape Analytics, Teradata applications, Teradata services portfolio, and partner solutions. You will be expected to support account teams and prospective customers in analyzing and understanding customer requirements through extensive data exploration and analysis phases. Additionally, you will lead discussions and conceptualize solutions, develop collateral for engagement and sales, utilize Analytical tools and Deep Learning frameworks to deliver solutions, participate in brainstorming sessions, build solution showcases, and provide mentoring and guidance to Pre-sales opportunities based on customer requirements. As a qualified candidate, you should hold a minimum Bachelors Degree in Data Science, AI, Engineering, Computer Science, or Statistics, preferably a Masters or Doctorate in the relevant field. You are required to have 10+ years of experience in data-driven fields such as BI, DWH, Analytics, etc., with proficiency in programming languages like R, Python, Java, and SQL. A strong understanding of Statistical concepts, Machine Learning, statistical modeling, Artificial Intelligence, Deep Learning, and business understanding in fields like Telco, Retail, Manufacturing, Healthcare is essential. Your technical skill set should include experience with cloud computing platforms like Azure, AWS, Google, exposure to Teradata platform, and experience as a Technical Lead in presales support and delivery activities. You should possess a willingness to learn, collaborative attitude, strong analytical skills, ability to manage critical situations independently, story-building skills, critical thinking, problem-solving skills, excellent communication skills, and the ability to present complex ideas to technical and non-technical audiences effectively. At Teradata, we prioritize a people-first culture, embrace a flexible work model, focus on well-being, and are dedicated to Diversity, Equity, and Inclusion. Join us in fostering an equitable environment that celebrates the diversity of our people and enables personal and professional growth.,

Achieving your goals starts with us supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network. Come join us to create what's next. Let's define tomorrow together. At United, we boast some of the best aircraft in the world. Our Technical Operations team comprises aircraft maintenance technicians, engineers, planners, ground equipment and facilities professionals, and supply chain teams dedicated to ensuring our fleet is well taken care of and ready to transport our customers to their desired destinations. If you're prepared to work on our planes, join our Tech Ops experts and contribute to keeping our fleet in tip-top shape. As the Manager of Technical Operations Engineering Data Science, you will lead the development of advanced analytics and machine learning solutions aimed at enhancing the reliability and operational performance of our fleet, including aircraft systems, engines, and APUs. In this role, you will oversee a team of data scientists and aircraft data analysts, collaborating closely with engineering, aircraft health monitoring, and maintenance operations teams to drive predictive capabilities that facilitate proactive decision-making and reduce operational disruptions. Key Responsibilities: - Lead the development, deployment, and refinement of predictive maintenance models and health monitoring analytics across aircraft, engines, APUs, and other assets in alignment with the Aircraft Predictive Alerting process. - Manage a team of data scientists and analysts, providing technical guidance and ensuring data science solutions are robust, scalable, and operationally effective. - Support the evaluation and ongoing monitoring of model and alert performance; recommend updates or retraining as needed based on operational feedback and data drift. - Drive innovation and continuous improvement in predictive analytics by researching new technologies, tools, and methodologies relevant to reliability and aircraft maintenance. - Manage resourcing, project prioritization, and stakeholder communications to ensure timely delivery of initiatives that reduce operational disruptions and enhance fleet reliability. This position is offered on local terms and conditions. Expatriate assignments and sponsorship for employment visas, even on a time-limited visa status, will not be awarded. This position is for United Airlines Business Services Pvt. Ltd - a wholly owned subsidiary of United Airlines Inc. Minimum Qualifications: - Bachelor's degree in Engineering, Computer Science, Data Science, Physics, or related field. - 6+ years of experience in an engineering or data-driven role. - Knowledge of data science and modeling techniques, understanding of engineering or aviation concepts, self-starter with the ability to think creatively and evaluate complex problems, project management and organizational skills, strong written and verbal communication skills, proficiency in Microsoft Excel and Power Point. - Must be legally authorized to work in India for any employer without sponsorship. - Must be fluent in English (written and spoken). - Successful completion of the interview required to meet job qualification. - Reliable, punctual attendance is an essential function of the position. Preferred Qualifications: - Master's degree. - Airline or operations experience in a similar industry, experience in propulsion or systems engineering, data analysis experience. - Knowledge of aircraft or engine reliability principles, ability to write, debug, and troubleshoot software code, understanding of data analytics concepts including machine learning, statistical programming, data visualization, etc., knowledge of mechanical or electrical system design in aviation, automotive, or similar industries, knowledge of aviation CFR regulations.,

As a GCP Architect with AI Expertise, you will play a crucial role in leading the design, implementation, and optimization of cloud and AI-driven solutions on Google Cloud Platform (GCP). Your deep expertise in cloud infrastructure, AI/ML, networking, and security will be essential for architecting scalable, secure, and highly available cloud solutions while leveraging AI to drive automation and intelligence across enterprise environments. Your responsibilities will include designing and implementing scalable, secure, and cost-effective architectures on GCP, developing AI/ML-driven solutions using tools such as Vertex AI, BigQuery ML, TensorFlow, and AutoML, and architecting end-to-end data pipelines to support AI model training, deployment, and monitoring. You will also be responsible for building high-availability, backup, and disaster recovery solutions in GCP. In terms of infrastructure and security, you will implement identity management, IAM policies, security protocols, and network segmentation, design and automate provisioning of networks, firewalls, ACLs, and access control policies, and ensure compliance with security and governance frameworks for cloud-based AI workloads. Additionally, you will manage multi-VPC networking, hybrid cloud connectivity, and firewall configurations. Your role will also involve leading large-scale application and network migrations to GCP, developing Terraform-based infrastructure automation, and managing Infrastructure as Code (IaC). You will implement CI/CD pipelines for AI/ML workloads using tools like GitHub, Jenkins, and Ansible, and design DevOps solutions with cloud-native tools and containerized workloads on GKE. As a technical leader and advisor, you will provide strategic guidance on cloud adoption, AI/ML use cases, and infrastructure modernization, lead requirements gathering, solution design, and implementation for GCP cloud-based AI solutions, and support pre-sales activities, including POCs, RFP responses, and SOW creation. You will mentor and provide technical oversight to engineering teams and serve as a trusted cloud advisor for customers, helping them solve complex cloud infrastructure and AI challenges. Furthermore, you will be responsible for optimizing cloud resource usage, cost management, and AI model performance, conducting cloud usage analytics, security audits, and AI model monitoring, and developing strategies to improve network reliability, redundancy, and high availability. If you are passionate about cloud transformation, AI, and solving complex infrastructure challenges, this role presents a perfect opportunity for you to make a meaningful impact in the field of cloud and AI technologies.,

About Credit Saison India Established in 2019, Credit Saison India (CS India) is one of the country's fastest-growing Non-Bank Financial Company (NBFC) lenders, operating in wholesale, direct lending, and tech-enabled partnerships with other NBFCs and fintech companies. Its tech-enabled model, combined with strong underwriting capabilities, enables lending at scale to address India's significant credit gap, especially within underserved and underpenetrated segments of the population. CS India is dedicated to expanding as a lender and enhancing its offerings in India for the long term, focusing on MSMEs, households, individuals, and more. Registered with the Reserve Bank of India (RBI), CS India holds an AAA rating from CRISIL and CARE Ratings. Currently, CS India boasts a network of 45 physical offices, servicing 1.2 million active loans, managing an AUM exceeding US$1.5 billion, and employing approximately 1,000 professionals. As part of Saison International, a global financial company, CS India aligns with the mission of fostering resilient and innovative financial solutions through the integration of people, partners, and technology for positive impact. Saison International, headquartered in Singapore, operates across various countries including Singapore, India, Indonesia, Thailand, Vietnam, Mexico, and Brazil. Roles & Responsibilities: - Conduct portfolio analysis and monitor portfolio delinquencies at a micro level to identify segments, programs, locations, and profiles that are performing well or are delinquent. - Assist in developing credit strategies across the customer lifecycle, including acquisitions, management, fraud prevention, and collections. - Identify trends through comprehensive analytics on various portfolio cuts. - Provide analytical support for internal portfolio reviews and enhance portfolio quality. - Collaborate with the Product and Engineering teams to implement risk strategies effectively. - Work with the Data Science team to offer insights on key model variables and optimize risk models" cutoff points. - Gain a thorough understanding of various data sources, both traditional and alternate, and utilize them optimally in underwriting. - Demonstrate proficiency in unsecured credit products and convert business challenges into analytical solutions. Required Skills & Qualifications: - Bachelor's degree in Computer Science, Engineering, or a related field from a reputed institution (IIT/IIIT/NIT/BITS). - 2-5 years of experience in Data Science, Risk Analytics, or Risk Management, with a focus on building models, risk strategies, or generating risk insights. - Proficiency in SQL and other analytical tools/scripting languages like Python or R. - Deep understanding of statistical concepts, including descriptive analysis, experimental design, Bayesian statistics, confidence intervals, and probability distributions. - Proficient in statistical and data mining techniques, as well as machine learning techniques such as decision tree learning. - Experience working with both structured and unstructured data. - Preferred experience in Fintech or Retail/SME/LAP/Secured lending.,

As a technology-led healthcare solutions provider, our purpose at Indegene is to enable healthcare organizations to be future-ready. We offer accelerated global growth opportunities for individuals who are bold, industrious, and nimble. Joining Indegene means embarking on a unique career journey that celebrates entrepreneurship and is fueled by passion, innovation, collaboration, and empathy. To explore exciting opportunities at the intersection of healthcare and technology, visit www.careers.indegene.com. If you are looking to kickstart your career, the first few years are crucial as they lay the foundation for your professional journey. At Indegene, we guarantee a distinctive career experience where you will work at the dynamic crossroads of healthcare and technology while being mentored by industry experts. Our global fast-track career path aligns with Indegene's rapid growth trajectory, offering you immense opportunities for personal and professional development. We are driven by our purpose to enable healthcare organizations to be future-ready, with customer obsession as our core driving force. Our approach is characterized by bold actions, nimble decision-making, and industrious work ethics. **Senior Manager - Data & Analytics** **Responsibilities:** - Manage a variety of commercial analytics projects, focusing on marketing mix, customer, and brand performance analytics with expertise. - Utilize popular analytics tools such as Python/R and statistical/data science packages to deliver diverse analytics projects. - Solve complex analytics problems including customer scoring & affinity modeling, customer segmentation, promotion response & marketing mix modeling, customer journey, NBA, and sales force analytics/SFE. - Execute a range of analytics projects spanning data wrangling, AI/ML, business intelligence, ad-hoc analytics, and complex business operations projects based on client requirements. - Provide technical and business leadership to junior team members, preparing them for increased responsibilities. - Collaborate with team members to drive innovation through automation, new ideas, capabilities, and tools. - Lead client communication by providing regular updates, insights, and recommendations via appropriate channels. - Effectively communicate insights and information to various stakeholders through exceptional oral and written skills. **Desired Profile:** - 8 years of relevant experience. - Proficiency in managing small and large datasets using Excel/VBA, MS Access/SQL Server, Python/R. - Knowledge of statistics and the ability to run predictive/machine learning models in Python/R. - Capability to automate SFE dashboards/processes in Excel/PPT or other platforms per client requirements. - Experience in pharmaceutical commercial analytics is essential. - Strong presentation and communication skills. **Nice to have:** - Experience with data visualization platforms like Tableau, Power BI, QlikView. - Ability to perform advanced analytics analyses such as regression analysis, clustering, time series modeling, etc. Join us in Bangalore, KA, IN, and be part of a team that is shaping the future of healthcare through technology and innovation. At Indegene, we offer equal opportunities for all individuals to thrive and grow in their careers.,

You will be joining a Cochin based ISO certified Software Development company, established in January 2003. The company specializes in delivering real-time solutions within the System Software, Web Development, and Embedded Systems domains. With a diverse clientele spanning across the United States, Europe, and the Middle East, Quest has garnered valuable experience over the years. As part of our commitment to continuous growth and development, we have introduced the IT Training division known as QIS Academy. This division aims to provide modern training programs focusing on domains such as Embedded Systems, PYTHON, .NET, JAVA, DATA SCIENCE, ML, AI, and DATA ANALYTICS. Experience the following with QIS Academy: - Cuttin-edge Technical Training conducted by industry-leading professionals, completed within a span of 3-4 months. - Candidates are required to be proficient in English and Malayalam languages. - Specialized Interview Coaching to assist you in successfully navigating critical interviews. - Placement Support until you secure your dream job - our guarantee! One of our key features: - Exposure to in-demand technologies including Data Science and AI, Data Analytics, Embedded and Automotive Systems, Python Full Stack Development, Java Full Stack Development, PHP Full Stack Development, and DOT NET Full Stack Development. Hands-on experience is assured, even for beginners! Why opt for us - Trusted by top IT companies: Serving as the #1 IT Training Institute for 24 years. - Unmatched Placement Success: Our dedicated team has facilitated over 6300 successful placements with 500+ IT companies placing their trust in us. - Make an informed decision today and stop second-guessing your future! For further details, visit www.qisacademy.com Contact: 9072778477 **Job Types:** Full-time, Fresher, Part-time, Internship, Contractual / Temporary **Contract length:** 6 months **Benefits:** - Commuter assistance - Internet reimbursement **Schedule:** - Day shift - Evening shift - Weekend availability **Education:** - Bachelor's (Preferred) **Language:** - Malayalam (Preferred) **Location:** - Ernakulam, Kerala (Preferred) **Work Location:** In person,

As a GenAI Data Scientist at PwC US - Acceleration Center, you will be responsible for developing and implementing machine learning models and algorithms for GenAI projects. Your role will involve collaborating with product, engineering, and domain experts to identify high-impact opportunities, designing and building GenAI and Agentic AI solutions, processing structured and unstructured data for LLM workflows, validating and evaluating models, containerizing and deploying production workloads, communicating findings via various mediums, and staying updated with GenAI advancements. You should possess a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field, along with 1-2 years of hands-on experience delivering GenAI solutions and 3-5 years of deploying machine learning solutions in production environments. Proficiency in Python, experience with vector stores and search technologies, familiarity with LLM-backed agent frameworks, expertise in data preprocessing and feature engineering, competence with cloud services, solid grasp of Git workflows and CI/CD pipelines, and proficiency in data visualization are essential requirements. Additionally, having relevant certifications in GenAI tools, hands-on experience with leading agent orchestration platforms, expertise in chatbot design, practical knowledge of ML/DL frameworks, and proficiency in object-oriented programming with languages like Java, C++, or C# are considered as nice-to-have skills. The ideal candidate should possess strong problem-solving skills, a collaborative mindset, and the ability to thrive in a fast-paced environment. If you are passionate about leveraging data to drive insights and make informed business decisions, this role offers an exciting opportunity to contribute to cutting-edge GenAI projects and drive innovation in the field of data science.,

At Capgemini Invent, we believe that difference drives change. As inventive transformation consultants, we combine our strategic, creative, and scientific capabilities to collaborate closely with clients in delivering cutting-edge solutions. Join our team to lead transformation customized to address our client's challenges of today and tomorrow, informed and validated by science and data, superpowered by creativity and design, all underpinned by purpose-driven technology. What you will appreciate about working with us: We acknowledge the importance of flexible work arrangements to provide support. Whether it's remote work or flexible work hours, you will find an environment that fosters a healthy work-life balance. At the core of our mission lies your career growth. Our array of career growth programs and diverse professions are designed to assist you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. Your Role: We are seeking a skilled PySpark Developer with expertise in Azure Databricks (ADB) and Azure Data Factory (ADF) to become a part of our team. The ideal candidate will have a pivotal role in designing, developing, and implementing data solutions using PySpark for large-scale data processing and analytics. Your Profile: - Design, develop, and deploy PySpark applications and workflows on Azure Databricks for data transformation, cleansing, and aggregation. - Implement data pipelines using Azure Data Factory (ADF) to orchestrate ETL/ELT processes across heterogeneous data sources. - Conduct regular financial risk assessments to identify potential vulnerabilities in data processing workflows. - Collaborate with Data Engineers and Data Scientists to integrate and process structured and unstructured data sets into actionable insights. Capgemini is a global business and technology transformation partner, aiding organizations in accelerating their dual transition to a digital and sustainable world while making a tangible impact for enterprises and society. With a responsible and diverse group of 340,000 team members in more than 50 countries, Capgemini, with its strong over 55-year heritage, is trusted by clients to unlock the value of technology to address the entire breadth of their business needs. It provides end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market-leading capabilities in AI, generative AI, cloud, and data, combined with its deep industry expertise and partner ecosystem.,

As a Pre-Sales Leader, your primary responsibility will be to define and drive the pre-sales strategy in alignment with growth objectives and industry focus areas such as Telecom, Retail, Healthcare, and Manufacturing. You will collaborate with the delivery and sales teams to design impactful and technically feasible solutions for data platforms, analytics, AI/ML, CDPs, and cloud migrations. Your role will require advanced knowledge of data science, analytics methodologies, AI/ML applications, and BI tools. You should have expertise in project lifecycles and solution delivery processes, with a proven ability to translate complex client business problems into technical solutions. Working closely with the Practice team, you will gather requirements and design customized solutions tailored to meet specific client needs. It will be essential to liaise with the technical delivery team to ensure proposed solutions are both feasible and aligned with organizational capabilities. Additionally, you will be responsible for developing detailed proposals that include technical specifications and pricing. You will lead the RFI/RFP response process, technical proposals, pricing support, and value articulation. Client engagement will be a key aspect of your role, involving participation in key client meetings, solution presentations, discovery workshops, and product/service demos. Furthermore, you will play a crucial role in sales enablement by creating reusable assets such as pitch decks, case studies, ROI models, and solution accelerators for the Go-to-Market team. Building and mentoring a high-performing pre-sales team, establishing playbooks and best practices, and fostering cross-functional collaboration with Product, Delivery, Marketing, and Partnerships teams will also be part of your responsibilities. To excel in this role, you should possess a Bachelor's degree in computer science, Information Technology, Business, or a related field, with an MBA degree from a top-tier institution. You should have 8-12 years of experience in Pre-Sales, Solutioning, or Consulting roles in SaaS or Data/AI firms. Deep understanding of data and analytics ecosystems, cloud data platforms (AWS, Azure, GCP), data engineering, BI tools (Power BI, Tableau), and AI/ML solutioning is essential. Strong leadership and team management skills, advanced proficiency in stakeholder and project management, and excellent communication and presentation skills are prerequisites for this role. You should be self-motivated, able to work independently and as part of a team, and willing to travel as needed to meet clients and attend events. Experience in building and scaling pre-sales or solutioning teams, as well as familiarity with industry verticals like Telecom, CPG, BFSI, or Healthcare, will be advantageous for this position.,

As a Data Engineering Specialist, you will be responsible for assessing, capturing, and translating complex business issues into structured technical tasks for the data engineering team. This includes designing, building, launching, optimizing, and extending full-stack data and business intelligence solutions. Your role will involve supporting the build of big data environments, focusing on improving data pipelines and data quality, and working with stakeholders to meet business needs. You will create data access tools for the analytics and data scientist team, conduct code reviews, assist other developers, and train team members as required. Additionally, you will ensure that developed systems comply with industry standards and best practices while meeting project requirements. To excel in this role, you should possess a Bachelor's degree in computer science engineering or equivalent, or relevant experience. Certification in cloud technologies, especially Azure, would be beneficial. You should have 2-3+ years of development experience in building and maintaining ETL/ELT pipelines on various sources and operational programming tasks. Experience with Apache data projects or cloud platform equivalents and proficiency in programming languages like Python, Scala, R, Java, Golang, Kotlin, C, or C++ is required. Your work will involve collaborating closely with data scientists, machine learning engineers, and stakeholders to understand requirements and develop data-driven solutions. Troubleshooting, debugging, and resolving issues within generative AI system development, as well as documenting processes, specifications, and training procedures will be part of your responsibilities. In summary, this role requires a strong background in data engineering, proficiency in cloud technologies, experience with data projects and programming languages, and the ability to collaborate effectively with various stakeholders to deliver high-quality data solutions.,

We are seeking a Python Trainee with a strong background in Data Analytics & Data Science to join our team in Pune. As a Data Analytics Trainee, you will be responsible for understanding client requirements, developing and delivering analytical solutions, and ensuring the successful completion of analytics projects. The ideal candidate should possess a good understanding of statistical modeling, problem-solving skills, and a solid business acumen. Your key responsibilities will include managing end-to-end analytics projects, building Machine Learning (ML) & Deep Learning (DL) Models, conceptualizing analytical problem-solving approaches, coordinating with technical teams, developing presentations for clients, and documenting solutions. You should have a BE/ B.Tech/ MCA degree with proficiency in Python, along with knowledge of Data Analytics & Data Science concepts, Machine Learning, and Deep Learning. Experience with Numpy, Panda, Power BI, Tableau, Python, Excel, R, JSON, SPSS/SAS will be advantageous. The successful candidate will demonstrate excellent problem-solving skills, a strong understanding of data modeling and statistical techniques, and the ability to structure analytical solutions effectively. Additionally, you should have exceptional client relationship management, project coordination, written and verbal communication skills, and the ability to quickly grasp new concepts and technologies. A collaborative mindset, teamwork skills, ownership, and accountability are essential for this role. This is a full-time position for freshers, requiring in-person work at our Pune location.,

As an AI intern at Atomo Innovation PVT Ltd, you will have the exciting opportunity to work with cutting-edge technologies and contribute to innovative projects that are shaping the future. We are looking for a passionate individual who is well-versed in Python, Data Structures, Data Science, Machine Learning, NLP, Neural Networks, AI, and Deep Learning. You will assist in the development and implementation of AI algorithms and models, conduct research and analysis to improve existing AI systems, collaborate with the team to brainstorm and problem-solve for AI solutions, work on data preprocessing and cleaning for AI projects, support the implementation of NLP techniques for text analysis, participate in training and testing of neural networks for various tasks, and stay updated with the latest trends and advancements in AI technology. If you are a motivated individual with a passion for AI and a desire to gain valuable hands-on experience in the field, then this internship opportunity at Atomo Innovation PVT Ltd is perfect for you. Join us in pushing the boundaries of AI innovation and making a meaningful impact on the world. About Company: Atomo Innovation Pvt. Ltd., an Indian deep-tech company developing low-power, modular edge computing devices integrated with onboard Neural Processing Unit (NPU) and multi-protocol support including BLE, Zigbee, Wi-Fi, RF, IR, Thread, and Matter. Our innovation combines efficient hardware with a lightweight operating system, AtomicOS, optimized for secure, real-time decision-making and edge-level AI inference.,

About the job: Key responsibilities: 1. Proactively analyze data to evaluate the risk, design, and price of insurance products 2. Develop innovative risk management solutions to manage key risks. 3. Highlighting major concerns regarding product design, pricing, and implementation. 4. Manage and address queries raised by the clients. 5. Real-time monitoring and loss management of the portfolio. 6. Question existing processes and suggest areas for improvement in efficiency and productivity with a focus on automation. 7. Documentation of the analysis, interpretations, assumptions, and expected results. Who can apply: Only those candidates can apply who: Salary: ₹ 2,00,000 - 4,50,000 /year Experience: 0 year(s) Deadline: 2025-08-23 23:59:59 Other perks: Informal dress code, 5 days a week Skills required: Python, SQL, Data Analytics, MS-Excel, Data Science and Power BI Other Requirements: 1. Strong technical knowledge in data analysis, product design, and pricing. 2. Good analytical skills are needed to filter, prioritize, and validate potentially complex 3. material from multiple sources. 4. Proficient in MS Excel, knowledge and experience in Python would be an added advantage. 5. B.Sc/M.Sc in Statistics, Actuarial, Data Informatics, Professional course/degree in risk management. About Company: Weather Risk Management Services Private Limited is a global agricultural and climatic risk management company innovating with big data, smart devices, and financial services. We work in 15 countries with prestigious corporates and government institutions across the globe. We have over 436 people with 4000 surveyors, 4000 automatic weather stations, in-house meteorological, remote sensing instrumental team.

The role will oversee the strategic direction and execution of machine learning projects, working closely with data scientists, software engineers, and product teams. The aim is to enhance services through innovative AI/ML solutions, including building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and enhance customer experiences. Key Responsibilities: - Define and drive the strategic vision for machine learning initiatives. - Lead the development and optimization of machine learning models. - Supervise the preprocessing and analysis of large datasets. - Deploy and maintain ML solutions in production environments. - Collaborate with cross-functional teams to integrate ML models into products and services. - Monitor and evaluate the performance of deployed models and make necessary adjustments. - Mentor and guide junior engineers and data scientists. - Ensure adherence to best practices and industry standards in ML development. Minimum Qualifications: - Minimum of 12 years of relevant work experience and a Bachelor's degree or equivalent. - Previous management experience. The company values Inclusion, Innovation, Collaboration, and Wellness, guiding the global team to prioritize customers while taking care of themselves, each other, and communities. Those interested in joining the team can visit https://about.pypl.com/who-we-are/default.aspx. Applicants are encouraged to apply regardless of any confidence gap or imposter syndrome.,