182 Classification Jobs

Req ID: 328025 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Systems Integration Specialist to join our team in Bangalore, Karntaka (IN-KA), India (IN). Experience: 4-6 years Key Responsibilities: . Build machine learning models to predict asset health, process anomalies, and optimize operations. . Work on sensor data pre-processing, model training, and inference deployment. . Collaborate with simulation engineers for closed-loop systems. Skills Required: . Experience in time-series modeling, regression/classification, and anomaly detection. . Familiarity with Python, scikit-learn, TensorFlow/PyTorch. . Experience with ML Ops on Azure ML, Databricks, or similar. . Understanding of manufacturing KPIs (e.g., OEE, MTBF, cycle time). About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click . If you'd like more information on your EEO rights under the law, please click . For Pay Transparency information, please click.

About the Role We are seeking an experienced Lead Engineer to drive the design, development, and scaling of AI-enabling platform services and public APIs that are secure, reliable, and cloud-native. In this role, you will not only be hands-on with technology but also take ownership of architecture decisions, technical strategy, and mentoring the Core AI Services team. You will work closely with cross-functional stakeholders to deliver innovative, production-grade AI capabilities at scale. Key Responsibilities Lead the design and delivery of scalable, fault-tolerant cloud-native services on Microsoft Azure. Own the development of secure, well-documented public APIs and SDKs for global developer consumption. Partner with product managers, data scientists, and architects to define and execute the AI platform roadmap. Drive architectural discussions, code quality, and best practices across the team. Embed robust security, compliance, and governance into all platform services. Mentor and guide engineers, enabling their technical and professional growth. Ensure end-to-end execution of AI solutions, from data pipelines and model deployment to orchestration and tooling. Champion innovation by rapidly prototyping and continuously improving AI-driven capabilities. AI & Cloud Expertise Proven experience with Large Language Models (LLMs), RAG, prompt engineering, agent orchestration, and AI tooling. Familiarity with emerging AI standards (MCP, A2A) and Responsible AI frameworks (NIST AI RMF, EU AI Act). Hands-on expertise with Python, PyTorch, TensorFlow, and AI orchestration tools (e.g., Semantic Kernel, AI Foundry). Experience leveraging AI-assisted development tools such as GitHub Copilot. Strong knowledge of cloud-native design patterns, microservices, and security-first development. Core Skills & Qualifications 12+ years of software engineering experience, with at least 3-5 years in a technical lead capacity. Strong proficiency in RESTful API architecture, lifecycle management, and security. Proven ability to lead distributed Agile teams and deliver high-quality enterprise-grade platforms. Track record of mentoring, guiding, and inspiring engineering teams. Excellent problem-solving, analytical, and communication skills with the ability to influence stakeholders at all levels. Candidates Willing to Relocate.

Job Description: Looking for a AI/ML architect with 8+ years of experience. Core Skills: Hands-on experience in Machine Learning across both supervised and unsupervised techniques: Forecasting, Classification, Regression, Text Mining, NLP, Decision Trees, Adaptive Decision Algorithms, Random Forest, Search Algorithms, Gradient algorithms, etc. Exposure to pre-trained models, LLMs (Large Language Models), and GenAI technologies. Solid foundation in statistical techniques: ANOVA, Hypothesis Testing, Chi-Square tests. Experience managing ML model lifecycle end-to-end in production: from problem framing, data engineering, model development, training, deployment, and improvement of ML projects. MLOps, for monitoring and optimization. Have comprehensive experience in architecting, designing, and developing multiple ML production solutions. Min 5 successful AI/ML project deliveries with tangible business outcomes. Ability to analyze model performance and derive prescriptive ML or business actions from insights. Proficiency in Python and popular analytical libraries: Pandas, Scikit-learn, Seaborn, Matplotlib, NumPy, NLTK etc. Strong understanding of RDBMS technologies: MySQL, Oracle, MS SQL. Expert in NLP techniques. Experience working with AI cloud platforms (Google Cloud/ AWS/ Azure) is required. Familiarity with best practices for benchmarking, validation, and testing AI solutions for production. Expertise in optimizing AI/ML solutions for both accuracy and performance. Engage in pre-sales activities, including solutioning, scoping, estimation, and proposal development for AI/ML and GenAI projects. Providing consulting and advisory services to customer AI/ML Added Skills: Practical knowledge of Neural Networks / Deep Learning frameworks like TensorFlow, Keras. Familiarity with HTML/CSS for creating simple web interfaces or dashboards. Expert in Azure and AWS AI Services. And open-source models, Hugging Face LLM AWS AI Services: AWS Bedrock, Amazon SageMaker, AWS Textract Azure AI Services: Azure AI Studio, Azure OpenAI, ML Studio, Cognitive Service, Azure Document Intelligence Possess deep knowledge in Text Embedding and Vector databases (AI Search, Pinecone, Weaviate, etc.)

About the Role: We are seeking a Data Scientist dedicated to designing, implementing, and enhancing classification and regression machine learning models. Your primary objective will be turning raw data into predictive insights that fuel business decisions. This role excludes domains like NLP, Computer Vision, or Time Series analysis, focusing exclusively on supervised ML methods. Key Responsibilities: Extract, clean, and preprocess datasets (structured and semi-structured) for modeling and analysis, using tools like SQL and Python/R. Engineer and select impactful features, then build and optimize classification and regression models using algorithms such as logistic regression, decision trees, random forests, SVMs, and boosting methods. Conduct rigorous exploratory data analysis (EDA), validate model accuracy, and monitor performance using appropriate metrics. Collaborate with product, engineering, or analytics teams to operationalize model outputs effectively. Communicate findings through well-structured visualizations and narratives to both technical and non-technical stakeholders. Required Skills & Qualifications: Proficient in SQL for robust data extraction and manipulation. Solid programming skills in Python , including experience with machine learning libraries like scikitlearn , XGBoost , or LightGBM . Strong understanding of statistical foundations , including regression, hypothesis testing, probability, and model evaluation technique Practical experience building

Job Description The Lead Data Scientist will deliver on activities related to the strategy, design, development, implementation of Data Science, Artificial Intelligence (AI) and Machine Learning (ML) for enterprise application functions. Frequently interacting with key stakeholders, the Data Scientist will lead and create advanced analytics models from conceptualization to completion. This position will support different products or lines of businesses to build innovations around AI. Responsibilities Collaborate with business functions/stakeholders on discovery for data science idea generation, provide ideas and influence as well as drive changes End-to-end ownership of work from ideation to production. Develop, manage and maintain Machine Learning and Deep Learning infrastructure from pipelines and modelling to machine learning products and decision support. Work with the business to understand the problem space, identify the opportunities, and translate our problems into analytical solutions Work with other Data Teams and Data Engineers to build upon our data collection, storage, and processing infrastructure Develop, distribute, support - standards, best practices, innovative and automation modeling techniques, and procedures Manage activities that take place during solution ideation, solution design, solution implementation, optimization, and operation Coordinate enhancements and maintenance of information systems to ensure highly reliable and cost-effective operation Qualifications 5+ years of Digital/Data/Analytics/Statistics experience, including 3+ years in Applied AI/ML and Data Science Design and conduct experiments, collect the data necessary to perform statistical hypothesis testing, and create inferences and recommendations Hands on experience in building Machine Learning-enabled products or working with large complex data sets Hands on working knowledge in ML techniques including classification, clustering, dimension reduction, regression, NLP, time series forecasting, and boosting to build explanatory, predictive, and prescriptive models appropriate for solving different problems Hands on experience with distributed data/computing and orchestration tools: Azure Databricks, Spark, MySQL etc. Hands on expertise with statistical techniques and their applications in business. Hands on coding experience with several languages: Python, JavaScript, Java, R etc. Experience with design and development of Generative AI models using state-of-the-art techniques Strategic planning experience that adapts to communication between technical and business stakeholders Strong verbal and written communication skills, interpersonal skills, and organizational skills Strong presentation skills with both technical and non-technical audiences Strong team leadership and/or project management experience with multiple simultaneous initiatives Skilled in the management of complex systems and decision-making under uncertainty Excellent time management skills and strong attention to detail, with experience in adhering to best practices of managing the life cycle of data-intensive ML projects About The Team At Wesco, we build, connect, power and protect the world. As a leading provider of business-to-business distribution, logistics services and supply chain solutions, we create a world that you can depend on. Our Companys greatest asset is our people. Wesco is committed to fostering a workplace where every individual is respected, valued, and empowered to succeed. We promote a culture that is grounded in teamwork and respect. With a workforce of over 20,000 people worldwide, we embrace the unique perspectives each person brings. Through comprehensive benefits and active community engagement, we create an environment where every team member has the opportunity to thrive. Learn more about Working at Wesco here and apply online today! Founded in 1922 and headquartered in Pittsburgh, Wesco is a publicly traded (NYSE: WCC) FORTUNE 500 company. Wesco International, Inc., including its subsidiaries and affiliates (Wesco) provides equal employment opportunities to all employees and applicants for employment. Employment decisions are made without regard to race, religion, color, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, or other characteristics protected by law. US applicants only, we are an Equal Opportunity Employer. Los Angeles Unincorporated County Candidates Only: Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act. Show more Show less

About the role: This is a unique opportunity to join our fast-growing Data Science team. In the role of Data Scientist, you will execute large scale, high impact data modeling projects with responsibility for designing, developing, validating, socializing, operationalizing, and maintaining data-driven analytics that provide business insights to increase operational efficiency and customer value. What you will do: Deliver modeling and analytical insights to inform strategic and operational initiatives Conduct all phases of the model development process. Including: Understanding business issues, proposing technical solutions, data wrangling, data cleaning, data analysis, feature engineering, model selection, model development, model validation, model operationalization, presentation of results and insights, model implementation, model documentation Convert top-down business initiative requirements into actionable data analytics projects as well as conceiving and proposing a bottom-up analytics innovations Communicate technical solutions and results to business stakeholders Partner with business stakeholders, IT and lead the design and delivery ML solutions Inject the most applicable technology, including Machine Learning, Artificial Intelligence, Natural Language Processing and Statistical Modeling Continuously innovate with state of art techniques to improve the model What you will need: For Data Scientist 3-6 years & for Associate Data Scientist 1-3 years of experience in solving real life business problems using ML & Data Science Bachelor's degree is required. Master's degree preferred. Technical degrees with a concentration in statistics, data science, computer science or related field preferred In-depth knowledge of statistical methods & principles and its usage in the model building & data analysis Experience in applying descriptive, predictive, prescriptive models & data visualization to solve real life business problems Understanding of NLP concepts and its application is preferred Expertise in Python, SQL, Spark Experience with multiple modeling techniques such as: Time Series, Random Forests, Clustering, Neural Networks, Generalized Linear Models, Optimization, DOE, Dimensionality Reduction MLOps experience is preferred (implementing models/algorithms into production systems) Ability to work in a fast-paced environment and deliver against milestones Excellent communication skills in technical and business domains Proven ability to influence key stakeholders and leaders What you will get: Competitive salary, generous paid time off policy, charity match program, Group Medical Insurance, Parental Leave, Employee Assistance Program (EAP) and more! Collaborative, team-oriented culture that embraces diversity Professional development and unlimited growth opportunities

Role & responsibilities The objective of the position The primary responsibility of this position is to ensure data quality, generate data insights, and ongoing refinement of algorithms, rule engines, and models for improving business decision-making and outcomes. Major Deliverables Ensuring Data Quality: Processing, cleansing, and verifying the integrity of data used for analysis through Involvement in Designing Digital Data Collection Strategy Reporting Missing and Incorrect Data Outlier Analysis etc. Should involve and suggest procedures for the collection, editing, and verification of data. Data-driven decision-making and analytics. Support development and continual improvement of credit decision-making algorithms and rule engines using advanced statistical methods and ML Explore data for insights, use statistical analysis and machine learning algorithms to identify relationships and trends in data and support business decision-making Develop propensity and predictive models Data Visualization & Communication: Not only interpret data but also effectively communicate findings to other stakeholders using relevant tools (e.g. Visualization tools like Tableau / powerBI etc.) so they can make data-informed decisions. Cross-functional Engagement: Collaborate with both IT and business stakeholders to ascertain business needs and identify opportunities for leveraging company data to drive business solutions. Preferred candidate profile Good understanding of Statistical Concepts in data science. Experience in BFSI industry/domain. Well-versed with the business processes Database Knowledge and experience in RDBMS concepts preferably SQL/MySQL Strong knowledge on ML/DL Data models, Data Sets, and ability to utilize data from varied sources for Analysis. Strong Expertise in Statistical techniques, predictive and prescriptive analysis, Regression, Classification, Yolo, and Computer vision. Minimum 1 year of professional experience in Deep learning, Computer vision, and NLP. Strong knowledge in Programming languages preferably Python. Know how to use automated ML tools and Azure Cloud Services. Basic knowledge of Generative AI and LLms. Experience in server Deployment with Flask, Django Frameworks Qualification Postgraduate with educational background in Mathematics/Statistics/Data Analytics. Academics in Data Analytics or equivalent programmers will be an added advantage.

Core Skills • Bachelor’s degree in computer science or a related field OR master’s degree in statistics, economics, business economics, econometrics, or operations research. • 5-10 years of experience in the Analytics/Data Science domain. • Experience with Generative AI techniques and tools. • Familiarity with ETL methods, data imputation, data cleaning, and outlier handling. • Familiarity with AWS cloud platform and AI/ML services. • Knowledge of databases and associated tools such as SQL. Technical Skills – Desirable: • Expertise in Deep learning, Segmentation, Classification and Ensemble techniques • Multi-agent frameworks, and Evaluation frameworks. • Proficiency in programming languages such as Python.

Job Summary: The Senior Manager, Data Science will lead a team of data scientists to develop advanced analytical models and drive data-driven decision-making across the organization. This role requires a strong blend of technical expertise, strategic thinking, and leadership skills. The Senior Manager will collaborate with cross-functional teams to identify business opportunities, design and implement innovative data solutions, and contribute to the companys overall strategic goals. Key Responsibilities: 1. Leadership and Team Management: Lead, mentor, and develop a team of data scientists. Foster a culture of innovation, collaboration, and continuous learning. Set clear goals and performance expectations for the team. 2. Strategy and Vision: Define and implement the data science strategy aligned with the companys objectives. Identify and prioritize data science projects that drive business value. Stay abreast of industry trends and emerging technologies to keep the organization at the forefront of data science. 3. Technical Expertise: Oversee the development and deployment of machine learning models and algorithms. Ensure best practices in data modeling, coding, and experimental design. Provide technical guidance on complex data science projects. 4. Collaboration and Communication: Work closely with business leaders to understand their needs and translate them into data science initiatives. Communicate findings and recommendations to both technical and non-technical stakeholders. Collaborate with data engineering, IT, and other departments to ensure data availability and integrity. 5. Project Management: Manage multiple data science projects, ensuring timely and successful delivery. Allocate resources effectively and balance team workloads. Monitor project progress and make adjustments as needed. 6. Performance Measurement: Develop metrics to measure the impact and effectiveness of data science initiatives. Continuously evaluate and refine models and strategies based on performance data. Report on key performance indicators to senior management. Qualifications: Education: Bachelors degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Masters or Ph.D. preferred. Experience: 7+ years of experience in data science or a related field. 3+ years in a leadership or managerial role within a data science team. Proven track record of delivering impactful data science solutions in a business context. Technical Skills: Expertise in statistical analysis, machine learning, and predictive modeling. Proficiency in programming languages such as Python, R, or SQL. Experience with data visualization tools like Tableau, Power BI, or similar. Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure). Soft Skills: Strong analytical and problem-solving abilities. Excellent communication and presentation skills. Ability to translate complex technical concepts into actionable business insights. Strong organizational and project management skills. Preferred Qualifications: Experience in [specific industry or domain relevant to the company]. Knowledge of deep learning, NLP, or other advanced AI techniques. Experience with Agile methodologies and project management tools.

As a pivotal member of the team, you will be responsible for shaping and delivering SAP PLM solutions that drive efficiency and innovation across product lifecycle processes. Your deep technical expertise will play a crucial role in streamlining operations, enhancing compliance, and enabling seamless integration between SAP and non-SAP systems. This, in turn, will contribute to smarter and faster decision-making across the organization. Your primary responsibilities will include leading the design and implementation of SAP PLM solutions, with a focus on key objects such as Material Master, Engineering Change Management, Document Management, Classification, and Bill of Materials. You will collaborate closely with product teams to define business requirements, assess feasibility, and translate them into IT specifications. Additionally, you will architect and document high-level and detailed application designs to ensure alignment with business goals. Providing expert-level guidance on SAP PLM functionalities and integrations, including interfaces with other SAP and non-SAP systems, will also be a key aspect of your role. You will support and enhance PLM workflows and product compliance processes while mentoring team members and contributing to continuous improvement initiatives. We are seeking a seasoned SAP PLM professional with over 10 years of experience in the domain. The ideal candidate will possess a strong understanding of software development processes and PLM architecture, along with a proven ability to work independently and lead cross-functional teams. Excellent communication, interpersonal, and documentation skills are essential, as well as proficiency in English, both written and spoken. Experience with SAP PLM integrations, along with a good grasp of product compliance and workflow management, would be considered a significant advantage. In return, you can expect to work in a collaborative and innovative environment where your expertise is highly valued. You will have opportunities to lead impactful projects and shape enterprise-level PLM solutions. We offer support for professional growth through mentorship and continuous learning, fostering a culture that encourages autonomy, creativity, and leadership. If you are excited about the prospect of making a difference in this role, we encourage you to apply now to start the conversation and discover the potential career opportunities that await you with us.,

You will be responsible for performing a variety of moderately complex risk analytics with a focus on AI/ML models. Your role will involve resolving moderately complex issues in advanced data modeling and measuring risk. You will provide effective challenge to the models by evaluating model-related risks including input data, model assumptions and limitations, conceptual soundness, methodology, outcomes analysis, benchmarking, monitoring, and model implementation. This position requires a combination of strong quantitative skills and AI/ML technical knowledge. Your major duties will include validating Artificial Intelligence (AI), Machine Learning (ML), and Generative AI (GenAI) models independently across various categories. You will evaluate Gen AI model risk, including hallucination, prompt injection, data leakage, reproducibility, and alignment with Responsible AI principles. Additionally, you will assess model robustness, interpretability, fairness, and bias through quantitative and qualitative techniques. You will also be responsible for validating complex statistical and/or algorithmic models used across various areas within the bank. It will be crucial to ensure that model development, monitoring, and validation approaches meet regulatory expectations and internal risk management needs. Moreover, you will provide analytical or risk measurement support to help meet both internal corporate and regulatory requirements. Developing in-depth knowledge of business unit/function and complex modeling techniques used will be essential. You will need to clearly communicate the complex issues/findings of the model validation outcomes to stakeholders and keep abreast of the latest regulatory requirements around model risk management. Furthermore, you will be expected to work on varied areas of risk management as part of the centralized Model Validation team within the bank. Your knowledge and skills should include experience with Machine Learning models, strong knowledge of AI/ML techniques, experience in validating machine learning models, familiarity with GenAI risks and controls, and understanding of models used in stress testing, CCAR, CECL, BASEL regulations, among others. Excellent oral and written communication skills, knowledge of risk measurement, and strong analytical and problem-solving skills are also required. Ideally, you should have an advanced degree in a quantitative discipline or Computer Science with a focus on AI/ML, along with 3 to 6 years of relevant work experience. Programming experience in Python is required, with experience in SAS and R desired. Mastery of analytical tools and strong preference for candidates with certifications in AI/ML or CFA/FRM/CQF are important. Familiarity with cloud and big data technologies is also desired. Working at Northern Trust offers opportunities for greater achievements in a flexible and collaborative work culture. Movement within the organization is encouraged, senior leaders are accessible, and you can take pride in working for a company committed to assisting the communities it serves. Join a workplace with a greater purpose and apply today to build your career with one of the world's most admired and sustainable companies. Northern Trust is committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for any part of the employment process, please contact the HR Service Center at MyHRHelp@ntrs.com. Northern Trust values an inclusive workplace and understands that flexibility means different things to different people. Apply today and discuss your flexible working requirements to achieve greater together.,

As an Autonomous Sensor Fusion Engineer at Cell Propulsion, you will be an integral part of our cutting-edge autonomy team that is focused on developing advanced electric mobility solutions for commercial vehicles. Your primary responsibility will involve developing and optimizing sensor fusion algorithms that integrate data from various sensors such as LiDARs, cameras, and radars. By combining these data sources effectively, you will contribute to enhancing the accuracy of perception and localization for autonomous vehicles, thereby playing a crucial role in building smart, reliable, and safe self-driving systems tailored for real-world commercial deployment. Your key responsibilities will include selecting sensors based on specific requirements, optimizing sensor performance and calibration to ensure reliability and precision, designing algorithms for sensor fusion and data integration, developing systems for object detection, tracking, and classification using sensor data, collaborating with software and hardware teams to integrate sensor systems with the pods autonomous driving algorithms, as well as performing testing and validation to ensure that sensor fusion algorithms meet safety standards. To be successful in this role, you should hold a Bachelors or Masters degree in Electrical Engineering, Robotics, Computer Science, or a related field, along with a minimum of 2+ years of relevant experience. Your expertise should encompass strong knowledge of sensor fusion techniques such as Kalman filtering and particle filtering, as well as hands-on experience with LIDAR, Radar, Camera, GPS, IMU, and other sensor technologies. Additionally, familiarity with ROS, OpenCV, or other robotics frameworks, experience in real-time systems, and embedded software development will be advantageous. Joining Cell Propulsion will not only offer you the opportunity to work in a high-growth environment but also provide benefits such as comprehensive health insurance, flexible work hours, subsidized lunch and transport, a young and energetic team, and an open-door policy. If you are passionate about autonomous systems, sensor technologies, and building real-world applications that have a tangible impact, we would love to hear from you.,

As a Tech Lead - Analytics & Data Products at Swiggy, you will be an integral part of the Analytics team with a focus on developing data products and solutions that leverage machine learning to drive operational excellence and business impact. With 6-8 years of experience in analytics, data science, or related fields, you will have the opportunity to lead medium-sized technical teams and collaborate with cross-functional teams to enhance data product reliability and accuracy. You will be responsible for designing, developing, and deploying data products that enhance insight generation and improve decision-making capabilities across the organization. Your expertise in machine learning techniques, such as regression and classification, will be utilized to develop robust and scalable ML models for various business needs. In addition to focusing on data products and machine learning integration, you will play a key role in driving operational excellence within the analytics team. This includes streamlining workflows, increasing team productivity, and ensuring operational efficiency in analytics processes. Working closely with data engineering teams, you will optimize data pipelines and infrastructure to enhance accuracy, reliability, and scalability. As part of your responsibilities, you will design and measure experiments to test business hypotheses and establish the right metrics frameworks to track progress toward goals. Your role will also involve building user-friendly automated solutions for root cause analyses and empowering internal teams with self-service analytics capabilities. In this position, you will set high benchmarks for technical execution, lead the roadmap for analytics solutions, and mentor team members for skill-building and impactful delivery. Your strong communication and collaboration skills will be essential in leading the team towards success. Join Swiggy's Analytics team to make a significant impact by leveraging your expertise in analytics, data products, machine learning, and operational excellence.,

As an Analytics Associate Manager - Insights and Intelligence at Accenture, you will be part of the Insights & Intelligence vertical, responsible for generating insights using the latest Artificial Intelligence (AI) and Analytics techniques to deliver value to clients. Your expertise will be utilized in building top-notch solutions, solving business problems, and addressing technical challenges using AI Platforms and technologies. You will play a key role in creating architectural foundation and services necessary for AI applications, demonstrating your expertise through activities such as blogging, publishing research papers, and creating awareness in this emerging area. Your primary focus will be on working within the Marketing & Customer Analytics team to measure, manage, and analyze marketing activities, providing actionable insights and recommendations for optimizing ROI and performance efficiency in operations. Customer analytics will involve utilizing data from customer behavior to support key business decisions through market segmentation and predictive analytics. You should have exposure to digital marketing, A/B testing, MVT, Google Analytics/Site Catalyst. As a core member of Accenture Operations global Applied Intelligence group, you will collaborate with a strategic and high-impact team to innovate and transform the Accenture Operations business using machine learning and advanced analytics. Your responsibilities will include leading data scientists to build and deploy data science models, refining models based on feedback and evolving business needs, and analyzing data to enhance brand equity, improve retail margins, achieve profitable growth, and expand market share for clients. In this role, we are looking for candidates with extensive experience in leading Data Science and Advanced Analytics delivery teams, strong statistical programming skills in Python, R, SAS, S-plus, MATLAB, STATA, or SPSS, experience with large data sets and big data tools like Snowflake, AWS, Spark, etc. Additionally, solid knowledge in areas such as Supervised and Unsupervised Learning, Classification, Regression, Clustering, Neural Networks, Ensemble Modelling, Multivariate Statistics, and more is required. Experience in business domains like CPG, Retail, Marketing Analytics, Customer Analytics, Digital Marketing, eCommerce, Health, and Supply Chain is preferred. The ideal candidate will have extensive experience in client engagement and business development, the ability to work in a global collaborative team environment, and manage medium-small sized teams or work efforts. You should be comfortable working on moderately complex problems, creating new solutions, and adapting existing methods and procedures as needed. This role may require working in rotational shifts. Join us at Accenture and be part of a global professional services company where you can leverage your skills and expertise to drive meaningful change and create value for clients across various industries.,

NVIDIA's GeForce Now is a cutting-edge gaming service powered by NVIDIA GPUs in the cloud, revolutionizing the gaming experience by transforming Macs, PCs, and mobile devices into high-performance gaming rigs. With GeForce NOW, games are automatically kept up-to-date, enabling users worldwide to instantly stream the latest games in high-definition resolution with the lowest latency for seamless gameplay. The service offers unparalleled convenience - just click and play! For more information, visit https://www.nvidia.com/en-us/geforce-now. Beyond gaming, our focus extends to innovative low-latency streaming technology, encompassing augmented and virtual reality, artificial intelligence, and robotics. We are seeking a Senior Software Engineer with expertise in data analysis, machine learning, and AI to join our team of skilled and motivated engineers. In this role, you will play a key part in transforming raw data into actionable insights that drive business growth. Collaborating closely with engineering, product, and business teams, you will craft and implement advanced analytical models. If you are enthusiastic about pushing the boundaries of technology and adept at leveraging data analytics, machine learning, and AI to solve real-world business challenges, we invite you to be a part of our team. **Responsibilities:** - Analyze extensive structured and unstructured datasets to identify trends, anomalies, and actionable insights. - Develop and deploy machine learning and AI models to address business challenges. - Create robust data pipelines and analytics dashboards to facilitate data-driven decision-making. - Mentor team members on data science processes and methodologies. - Collaborate with stakeholders to define problem statements and translate business requirements into technical solutions. - Present complex findings to technical and non-technical audiences through reports, visualizations, and presentations. - Ensure data quality, integrity, and security throughout the analytics process. - Identify opportunities for continuous process and system improvement within the analytics function. **Requirements:** - Bachelor's or Master's degree in Computer Science or a related field, or equivalent experience. - 7+ years of hands-on experience in data analysis with exposure to large-scale datasets. - Proficiency in Python and experience with data analysis and visualization libraries (e.g., pandas, NumPy, matplotlib, seaborn). - Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch) and the model lifecycle. - Strong grounding in statistics, regression, classification, clustering, and analytical methods. - Knowledge of SQL and experience in large-scale data extraction and manipulation. - Ability to quickly grasp domain knowledge and apply analytical skills effectively. - Excellent communication, documentation, and interpersonal skills with the ability to collaborate in a global, cross-functional team. - Strong analytical thinking, problem-solving abilities, and a proactive, self-motivated mindset. **Preferred Qualifications:** - Proficiency in analyzing extensive datasets. - Familiarity with global low-latency cloud-based streaming services and networking challenges. - Experience in C++ software development, optimization, and debugging. - Knowledge of computer networking or WiFi networks.,

You are looking for an enthusiastic Associate Data Scientist to join the team at SoftSensor.ai's Jaipur Office. In this role, you will play a crucial part in developing AI models, handling data pre-processing, and conducting data analysis to enhance SoftSensor.ai's analytical approaches and product quality. Your responsibilities will include setting objectives, analyzing experiment outcomes using analytical techniques, and effectively communicating insights, recommendations, and results to stakeholders. To qualify for this position, you should hold a Bachelor's or Master's Degree in Mathematics, Statistics, Computer Science, or a related field. Additionally, you must possess 1-2 years of experience in data analytics, statistical modeling, or similar domains. A strong academic background will be advantageous. Proficiency in machine learning and data science concepts like regression, classification, and clustering is essential. You should also have practical experience in programming languages like Python or R, along with expertise in data querying using SQL and NoSQL databases. Experience in handling large datasets, exceptional analytical skills, and the ability to solve problems critically are key attributes required for this role. Furthermore, excellent communication and presentation skills are essential to effectively convey technical information to non-technical audiences. The role entails working independently as well as collaboratively within a cross-functional team. While not mandatory, familiarity with deep learning, neural networks, and natural language processing will be considered a valuable asset in your application.,

The Spec Analytics Intmd Analyst role is a developing professional position where you deal with most problems independently and have the latitude to solve complex issues. By integrating in-depth specialty area knowledge with a solid understanding of industry standards and practices, you contribute to achieving the objectives of the sub function/job family. Your analytical thinking and knowledge of data analysis tools and methodologies are crucial, requiring attention to detail to make informed judgments and recommendations based on factual information. You will typically handle variable issues with potential broader business impact, applying professional judgment when interpreting data and results in a systematic and communicable manner. Developed communication and diplomacy skills are essential to exchange potentially complex/sensitive information and have a moderate but direct impact on the businesses" core activities. The quality and timeliness of service you provide will affect the effectiveness of your team and other closely related teams. Responsibilities: - Work with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of business strategies - Identify and compile data sets using various tools (e.g. SQL, Access) to predict, improve, and measure the success of key business outcomes - Document data requirements, data collection/processing/cleaning, and exploratory data analysis, which may involve utilizing statistical models/algorithms and data visualization techniques - Specialize in marketing, risk, digital, and AML fields - Appropriately assess risk when making business decisions, ensuring compliance with applicable laws, rules, and regulations, safeguarding Citigroup, its clients, and assets Skills and Experience: - 5+ years of relevant experience in data science, machine learning, or a related field - Advanced process management skills, organized, and detail-oriented - Curiosity in learning and developing new skill sets, particularly in artificial intelligence - Positive outlook with a can-do mindset - Strong programming skills in Python and proficiency in relevant data science libraries like scikit-learn, TensorFlow, PyTorch, and Transformers - Experience with statistical modeling techniques, including regression, classification, and clustering - Experience building GenAI solutions using LLMs and vector databases - Experience with agentic AI frameworks such as Langchain, Langraph, MLOps - Experience with data visualization tools like Tableau or Power BI - Must-have skills: Strong logical reasoning capabilities, willingness to learn new skills, good communication and presentation skills Education: - Bachelors/University degree or equivalent experience This job description offers a high-level overview of the work performed, and additional job-related duties may be assigned as required.,

Role: Senior AI/ML Engineer Function: Machine Learning / AI Engineering Industry: Fintech, SaaS, Artificial Intelligence About Company The client is an early-stage, venture-backed fintech using AI to simplify cash-flow analytics for high-volume B2C businesses. Its platform pairs natural-language queries with machine learning to deliver real-time insights and friction-free reconciliation. You join a small, fast-moving team that prizes ownership, experimentation, and transparent collaboration. The mission is clear: give operators instant, accurate financial visibility so they can scale with confidence. Position Overview You lead the end-to-end AI charter that powers financial automation, intelligent reconciliation, and anomaly detection. You shape the GenAI roadmap, productionize cutting-edge ML systems, and build a world-class teamall while delivering reliable, compliant, and low-latency solutions for transactional finance. Role & Responsibilities Define the AI and GenAI vision for reconciliation, document understanding, financial classification, and payment behavior intelligence. Translate product problems into scalable ML systems and GenAI workflows. Research, experiment, and productionize LLM-based pipelines tailored to enterprise financial operations. Deploy and maintain ML and LLM pipelines in production, including observability, retries, retraining, and versioning. Implement feedback loops that continuously learn from user actions and corrections. Optimize performance and latency of GenAI systems in high-throughput transactional environments. Ensure data privacy, regulatory compliance, and explainability of AI outputs in financial contexts. Lead, hire, mentor, and grow a team of ML and GenAI engineers. Collaborate with product managers, backend engineers, and data engineers to ship AI-powered features. Evangelize responsible AI practices and an experimentation culture across the organization. Must have Criteria 5+ years in AI/ML with at least 12 years hands-on with LLMs and GenAI. Deep knowledge of ML algorithms, NLP, transformers, vector search, embeddings, classification, and unsupervised learning. Proven track record building and deploying GenAI applications using OpenAI APIs, HuggingFace, LangChain, or LlamaIndex. Strong coding skills in Python and experience with PyTorch or TensorFlow, scikit-learn, pandas, and MLOps tools such as MLflow or Airflow. Hands-on experience fine-tuning LLMs (LoRA, QLoRA, PEFT) and crafting prompts for deterministic outputs. Expertise with OCR/NLP tools for semi-structured document extraction and parsing. Ability to work with unstructured, noisy financial data at scale. End-to-end ownership of ML systems from research through deployment and monitoring. Nice to Have Familiarity with open-source LLMs like Mistral, Claude, LLaMA, or Zephyr. Experience with chunking strategies, prompt templates, and hybrid search in RAG systems. Background in enterprise SaaS or fintech domains such as banking, reconciliation, ERP, or accounting. Knowledge of graph-based ML or probabilistic models for complex transaction flows. Past experience building AI systems in an early-stage startup or as a founding team member. Fintech domain expertise. What We Offer Foundational role where you define how AI evolves at the company. High impact on real-world financial decisions requiring accuracy and auditability. Ownership of deep ML and cutting-edge GenAI problems. Product-first, collaborative culture that values high agency and technical depth. Show more Show less

You are a highly motivated and enthusiastic Senior Data Scientist with over 8 years of experience, seeking to join a dynamic team that values AI/ML analytics expertise. Your strong background in leveraging data for driving business insights and innovation will be key to your success in this role. Your responsibilities will include developing and implementing machine learning models and algorithms, collaborating closely with project stakeholders to understand requirements and translate them into deliverables. You will utilize statistical and machine learning techniques to analyze and interpret complex data sets, while staying updated with the latest advancements in AI/ML technologies and methodologies. Collaboration with cross-functional teams to support various AI/ML initiatives will also be a crucial aspect of your role. You should hold a Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. A strong understanding of machine learning, deep learning, and Generative AI concepts is required for this position. Preferred skills for this role include experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, Computer vision (YOLO), Deep Learning stack, NLP using Python. Additionally, you should have strong knowledge and experience in Generative AI/LLM based development and working with key LLM models APIs and frameworks. Experience with cloud infrastructure for AI/Generative AI/ML on AWS, Azure is preferred. Expertise in building secure data ingestion pipelines for unstructured data, effective text chunking techniques, and working with text embeddings is crucial for this role. Proficiency in Python, TypeScript, NodeJS, ReactJS and their frameworks, as well as experience with data visualization tools and deep learning frameworks, is required. Knowledge of version control systems and good to have skills in building knowledge graphs and multi-agent systems will be beneficial for this position. Pentair is an Equal Opportunity Employer that values diversity and believes in the importance of a diverse workforce for continued success. Your cross-cultural insight and competence will be essential for contributing different perspectives and creative ideas to drive continuous improvement within the organization.,

As an experienced professional with over 5 years of maintenance experience, you will be responsible for maintenance and material data management activities in compliance with SAP PM / MM module standards. Your key tasks will include creating, cleansing, classifying, verifying, validating, standardizing, and enriching ERP / CMMS master data. Additionally, you will be involved in preparing the master equipment list (MEL) and asset register, developing and populating functional locations with descriptions and object types, and identifying maintenance spares from vendor documents. Your role will also entail reviewing recommendations of new spares and maintaining the spare parts inter-changeability record (SPIR). You will be required to code MRO spares, develop Bill of Materials (BOM), conduct criticality analysis, and optimize MRO spares. Furthermore, you will be responsible for the cleansing, standardization, enrichment, and de-duping of coded or existing spares to ensure data accuracy and consistency. To qualify for this position, you must hold an engineering degree in Mechanical Engineering and possess a total of 5 to 10 years of experience, with a minimum of 5 years specifically in maintenance roles. If you are seeking a challenging opportunity to contribute your expertise in maintenance data management and material classification within an ERP environment, this role in Vadodara and Chennai locations could be the ideal fit for you.,

Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods and models. What's more, we are in collaboration with leading academics, industry experts and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data. Join us to do the best work of your career and make a profound social impact as a Consultant Data Science on our Data Science Team in Bangalore/Hyderabad. As a Consultant Data Science, you will be responsible for contributing to business strategy and influencing decision-making based on information gained from deep dive analysis. You will produce actionable and compelling recommendations by interpreting insights from complex data sets. You will design processes to consolidate and examine unstructured data to generate actionable insights. You will also partner with business leaders, engineers, and industry experts to construct predictive models, algorithms, and probability engines. You will: - Solve business and customer problems utilizing LLM/Agents and traditional AI/ML. - Build prototypes and scalable AI/ML solutions that will be integrated into software products. - Lead more junior data scientists and collaborate with software engineers, business stakeholders, and product owners in an Agile environment. - Have complete ownership of model outcomes and drive continuous improvement. Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Essential Requirements: - Proficient with writing sophisticated, clean, and object-oriented Python code. - Strong background in math, statistics, and machine learning knowledge (deep learning, NLP, classification, forecasting, regression). - Professional experience in ML model deployment in production. - Ability to work with internal stakeholders to transfer business questions into data science problem statements. - Ability to effectively communicate data science progress to non-technical internal stakeholders. - Ability to play the technical lead/architect role for a team of data scientists. Desirable Requirements: - Masters or PhD in a quantitative discipline. - Professional experience with LLM/Agentic technologies. Who we are: We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live, and play. Join us to build a future that works for everyone because Progress Takes All of Us. Application closing date: 30-August-25 Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment.,

Job Description Job Description: We are seeking a highly motivated and enthusiastic Senior Data Scientist with over 8 years of experience to join our dynamic team. The ideal candidate will have a strong background in AI/ML analytics and a passion for leveraging data to drive business insights and innovation. Key Responsibilities Develop and implement machine learning models and algorithms. Work closely with project stakeholders to understand requirements and translate them into deliverables. Utilize statistical and machine learning techniques to analyze and interpret complex data sets. Stay updated with the latest advancements in AI/ML technologies and methodologies. Collaborate with cross-functional teams to support various AI/ML initiatives. Qualifications Bachelors degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Strong understanding of machine learning , deep learning and Generative AI concepts. Preferred Skills Experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, Computer vision(yolo),Deep Learning stack, NLP using python Strong knowledge and experience in Generative AI/ LLM based development. Strong experience working with key LLM models APIs (e.g. AWS Bedrock OR Azure Open AI/ OpenAI) and LLM Frameworks (e.g. LangChain OR LlamaIndex OR RAG) Experience with cloud infrastructure for AI/Generative AI/ML on AWS, Azure. Expertise in building enterprise grade, secure data ingestion pipelines (ETL Gluejob, Quicksight) for unstructured data including indexing, search, and advance retrieval patterns. Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets. Proficiency in generating and working with text embeddings with understanding of embedding spaces and their applications in semantic search and information. retrieval. Experience with RAG concepts and fundamentals (VectorDBs, AWS OpenSearch, semantic search, etc.), Expertise in implementing RAG systems that combine knowledge bases with Generative AI models. Knowledge of training and fine-tuning Foundation Models (Athropic, Claud , Mistral, etc.), including multimodal inputs and outputs. Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and frameworks. (e.g., pandas, NumPy, scikit-learn), Glue crawler, ETL Experience with data visualization tools (e.g., Matplotlib, Seaborn, Quicksight). Knowledge of deep learning frameworks (e.g., TensorFlow, Keras, PyTorch). Experience with version control systems (e.g., Git, CodeCommit). Good To Have Skills Knowledge and Experience in building knowledge graphs in production. Understanding of multi-agent systems and their applications in complex problem-solving scenarios. Equal Opportunity Employer Pentair is an Equal Opportunity Employer. With our expanding global presence, cross-cultural insight and competence are essential for our ongoing success. We believe that a diverse workforce contributes different perspectives and creative ideas that enable us to continue to improve every day. Show more Show less

As an AI Data Scientist at Johnson Controls located in Pune, India, you will be an integral part of the Data Strategy & Intelligence team. You will be responsible for developing and deploying machine learning/Generative AI and time series analysis models in production to contribute to optimized energy utilization, auto-generation of building insights, and predictive maintenance for installed devices. To excel in this role, you must possess a deep understanding of machine learning concepts, Large Language Models (LLM), time series models, and have hands-on experience in developing and deploying ML/Generative AI/time series models in a production environment. Your primary responsibilities will include developing and maintaining AI algorithms and capabilities within digital products at Johnson Controls. By leveraging data from commercial buildings and applying advanced algorithms, you will optimize building energy consumption, reduce CO2 emissions, enhance user comfort, and generate actionable insights to improve building operations. Additionally, you will translate data into recommendations for various stakeholders, ensuring that AI solutions deliver robust and repeatable outcomes through well-designed algorithms and software. Collaboration is key in this role, as you will work closely with product managers to design new AI capabilities, explore and analyze datasets, write Python code to develop ML/Generative AI/time series prediction solutions, implement state-of-the-art techniques in Generative AI, and pre-train and finetune ML models over CPU/GPU clusters. You will also uphold code-quality standards, develop test cases to validate algorithm correctness, and communicate key results to stakeholders effectively. The ideal candidate for this position should hold a Bachelor's/Master's degree in Computer Science, Statistics, Mathematics, or a related field, along with at least 5 years of experience in developing and deploying ML models. Proficiency in Python and standard ML libraries such as PyTorch, Tensorflow, and scikit-learn is essential. Moreover, a strong understanding of ML algorithms and techniques, experience in working with cloud-based ML/GenAI model development/deployment, and excellent communication skills are prerequisites for success in this role. Preferred qualifications include prior domain experience in smart buildings and building operations optimization, as well as experience working with Microsoft Azure Cloud.,

As an Analytics Associate Manager in the Insights and Intelligence vertical at Accenture, you will be responsible for generating insights using the latest Artificial Intelligence (AI) and Analytics techniques to deliver value to clients. Your expertise will be crucial in building world-class solutions, tackling business problems, and overcoming technical challenges using AI Platforms and technologies. It will be essential for you to leverage existing frameworks, standards, and patterns to establish architectural foundation and services needed for scalable AI applications, demonstrating your expertise through active blogging, publishing research papers, and creating awareness in this emerging field. You will be a key member of the Marketing & Customer Analytics team, which focuses on measuring, managing, and analyzing marketing activities to provide actionable insights and recommendations for optimizing ROI and operational efficiency. Your exposure to digital marketing, A/B testing, MVT, Google Analytics/Site Catalyst will be valuable in this role. Additionally, you will play a vital role in the Accenture Operations global Applied Intelligence group, working with machine learning and advanced analytics to drive data-driven decision-making and business transformation. Your responsibilities will include leading a team of data scientists to develop and deploy data science models, refining and enhancing these models based on feedback and evolving business needs. You will analyze available data to identify opportunities for enhancing brand equity, improving retail margins, achieving profitable growth, and expanding market share for clients. We are looking for candidates with extensive experience in leading Data Science and Advanced Analytics delivery teams, strong statistical programming skills in Python, R, SAS, S-plus, MATLAB, STATA, or SPSS, and experience with large data sets and big data tools like Snowflake, AWS, and Spark. Moreover, you should have solid knowledge in areas such as Supervised and Unsupervised Learning, Classification, Regression, Clustering, Neural Networks, Ensemble Modelling, Multivariate Statistics, Non-parametric Methods, Reliability Models, Markov Models, Stochastic models, Bayesian Models, and experience in domains like CPG, Retail, Marketing Analytics, Customer Analytics, Digital Marketing, eCommerce, Health, and Supply Chain. Your role will involve client engagement, business development, and working in a global collaborative team environment. In summary, as an Analytics Associate Manager at Accenture, you will play a crucial role in leveraging data science and advanced analytics to drive insights and value for clients, while contributing to the growth and success of the organization.,

Company Description WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees. Job Description Job Overview: Responsible for leading data science initiatives, developing advanced analytics models and ensuring successful execution of data-driven projects for clients in the retail. Will work closely with key client stakeholders to understand their business challenges and leverage data science to deliver actionable insights that drive business growth and efficiency.Lead the design, development and implementation of advanced analytics models. Including predictive and prescriptive models for retail clients.Should be able to convert mathematical/ statistics-based research into sustainable data science solutionsCandidate should be able to think from first principles to define & evangelize solutions for any client business problemLeverage deep knowledge of the retail to develop data-driven solutions that address industry-specific challenges. Apply AI/ML statistical methods to solve complex business problems and determine new opportunities for clients.Ensure project delivery of high-quality, actionable insights that drive business decisions and outcomes.Ensure end-to-end lifecycle (scoping to Delivery) of data science projects.Collaborate with cross-functional teams to ensure seamless project execution.Manage timelines, resources, and deliverables to meet client expectations and project goals.Drive innovation by exploring new data science techniques, tools, and technologies that can enhance the value delivered to clients.Strong hands-on experience with data science tools and technologies (e.g., Python, R, SQL, machine learning frameworks).Hand-on experience with a range of data science models including regression, classification, clustering, decision tree, random forest, support vector machine, nave Bayes, GBM, XGBoost, multiple linear regression, logistic regression, and ARIMA/ARIMAX.Should be competent in Python (Pandas, NumPy, scikit-learn etc.), possess high levels of analytical skills and have experience in the creation and/or evaluation of predictive models.Preferred experience in areas such as time series analysis, market mix modelling, attribution modelling, churn modelling, market basket analysis, etcGood communication and project management skills. Should be able to communicate effectively to a wide range of audiences, both technical and business. Adept in creating Presentations, reports etc to present theanalysis findings to key client stakeholders. Strong team management skills with a passion for mentoring and developing talent. Qualifications BTech/Masters in Statistics/Mathematics/Economics/Econometrics from Tier 1-2 institutions Or BE/B-Tech, MCA or MBA7-10 years of hands-on relevant experience in delivering Data Science/Analytics projects. Show more Show less