1952 Data Scientist Jobs

Greetings from Tamilnadu Advanced Technical Training Institute (TATTI)! Are you passionate about teaching and shaping the next generation of data professionals? We re looking for an experienced and enthusiastic Data Science Trainer to join our freelance pool! Role Overview: As a Freelance Trainer - Data Science , you will be responsible for delivering interactive training sessions, mentoring learners and helping them gain real-world skills in data science, analytics and AI. Key Responsibilities: Deliver online/offline sessions on Data Science, Machine Learning, Python and related tools Design hands-on assignments, case studies and Mini projects Assess and guide learners throughout the course Stay updated with industry trends and tools Requirements: Strong foundation in Python, statistics, data wrangling, ML algorithms Industry experience or prior training experience preferred Excellent communication and presentation skills Ability to simplify complex concepts for learners Nice to Have: Experience with tools like Tableau, Power BI or SQL Exposure to Deep Learning frameworks (TensorFlow, PyTorch) Job Type: Freelance / Project-Based Mode: Online / Onsite (Based on project) To Apply: Send your updated resume via link! Join us in building careers. Empower learners. Shape the future!

Analytical Wizards is part of the Definitive Healthcare family. We balance innovation with an open, friendly culture and the backing of a long-established parent company, known for its ethical reputation. We guide customers from what s now to what s next by unlocking the value of their data and applications to solve their challenges, achieving outcomes that benefit both business and society. Our people are our biggest asset, they drive our innovation advantage and we strive to offer a flexible and collaborative workplace where they can thrive. We offer industry-leading benefits packages to promote a creative and inclusive culture. If driving real change gives you a sense of pride and you are passionate about powering social good, we d love to hear from you. Job Description We are looking for a Senior Data Scientist with a strong foundation in SQL/Python programming, data handling, and data wrangling to work on high-impact projects in the healthcare domain. This is a hands-on role involving advanced analytics, developing metrics and reports from large, complex datasets, and building scalable data solutions like solution workbenches. The ideal candidate will demonstrate a strong aptitude for understanding business context, generating insights from data, and a proactive attitude toward learning and applying relevant data tools and techniques. A solid grasp of claims analytics, combined with the ability to work in the healthcare space and apply a wide range of quantitative and analytical methods to drive better business decisions, is essential. Experience or interest in Generative AI tools to enhance analytics workflows will be a key advantage. Responsibilities Lead and contribute to custom projects focused on claims-based reporting, Patient Journeys, Market Assessment and predictive modeling using SQL/Python. Perform advanced data wrangling, transformation, and analysis on complex healthcare datasets, primarily in the claims domain. Create data-driven deliverables and visualizations to support customer engagements and business decision-making. Partner with Product and Customer Success teams to deliver insightful, tailored analyses to clients. Collaborate with global and cross-functional teams to design and implement optimized data solutions. Develop scalable tools such as solution workbenches and automated reporting systems. Scope, prioritize, and independently handle client requests with minimal supervision. Leverage SQL, Python, and Generative AI tools to drive efficiency, innovation, and automation in analytics workflows. Contribute to internal initiatives, knowledge sharing, and continuous improvement of team processes. Mentor and guide junior analysts, promoting best practices in coding, modeling, and data handling. Qualifications Bachelors or Masters degree in computer science, Statistics, Data Science, or a related quantitative field. 3-5 years of hands-on experience in data science or analytics roles, with a strong focus on SQL and Python. Proven expertise in healthcare data, particularly claims analytics; familiarity with pharma datasets is mandatory. Strong programming skills in Python, including data manipulation, wrangling, and analysis using libraries such as pandas, NumPy, and scikit-learn. Advanced proficiency in SQL for working with large, complex relational datasets. Comfortable working with large-scale data and able to assess existing processes to identify opportunities for improvement. Sound knowledge of statistics, data modeling, and predictive analytics. Proficient in Microsoft Excel and experience creating clear, impactful presentations of analytical findings. Strong interpersonal, communication, and presentation skills, with the ability to explain technical concepts to non-technical stakeholders. Self-starter with the ability to work independently and collaboratively in a fast-paced, dynamic environment. ISMS Responsibilities Comply with information security policies and processes Report security weaknesses, events or potential events, or other security risks, to the organization Execute all tasks related to information security management system as appropriate Why we love Analytical Wizards, and why you will too! Industry leading products Work hard, and have fun doing it Incredibly fast growth means limitless opportunity Flexible and dynamic culture Work alongside some of the most talented and dedicated teammates A collaborative and friendly culture with very high employee engagement

About the Team: The CrowdStrike Malware Research Center is the core of Falcon s malware detection and response capabilities. The team has a focus on understanding the threat landscape and sets the target for what Falcon should be identifying and preventing. Additionally, Malware Research Center (MRC) is responsible for understanding our capabilities, and mapping how well our machine learning and behavioral protection capabilities are doing against those threats. Where there is a gap, the MRC takes action to improve our detection stance, and improve our overall protection story. MRC also performs pathfinding research to enable technology development using innovation, prototyping and bleeding edge machine learning to support our flagship Falcon product. There are many parts of CrowdStrike working towards protecting customer environments, and the MRC works across all of them to ensure we are on target and providing the best protection for our current Threat landscape. About the Role: We seek an Applied ML Research Scientist to build, evaluate, and deploy ML models for malware detection and analysis. This role bridges cybersecurity expertise with machine learning to combat evolving threats. What Youll Do: Build and optimize ML models for malware detection with high accuracy and precision Develop automation tools and testing frameworks for ML model validation Create automated pipelines for large-scale malware sample processing Conduct exploratory data analysis (EDA) on threat datasets and behavioural data to identify patterns Perform feature engineering on malware static analysis and behavioural data Collaborate with threat researchers and engineers to develop and deploy effective ML solutions Conduct model evaluations across diverse threat scenarios What You ll Need: Bachelors or Masters in Data Science or Computer Science 5+ years of combined experience in Data Science and MLOps Proficiency in Python, scikit-learn, TensorFlow, PyTorch Experience with data processing tools and visualization libraries Large-scale data processing experience on cloud platforms like Azure, AWS or GCP Knowledge of distributed computing like Ray, Apache Spark Experience with workflow orchestration platforms (Airflow), ML lifecycle management tools (MLflow) SQL (PostgreSQL, MySQL) and NoSQL databases (MongoDB, Elasticsearch) Experience in ML Operations like model deployment, monitoring, version control, and CI/CD pipelines for machine learning projects Demonstrates strong interpersonal communication skills and builds productive relationships with stakeholders at all levels Bonus Points: Experience in creating threat detection ML models for security products Strong interest in cybersecurity with foundational knowledge of security research Understanding of different executable and non-executable file formats #LI-VJ1 #LI-Remote Benefits of Working at CrowdStrike: Remote-friendly and flexible work culture Market leader in compensation and equity awards Comprehensive physical and mental wellness programs Competitive vacation and holidays for recharge Paid parental and adoption leaves Professional development opportunities for all employees regardless of level or role Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections Vibrant office culture with world class amenities Great Place to Work Certified across the globe If you need assistance accessing or reviewing the information on this website or need help submitting an application for for further assistance.

About the job Position: Assistant Manager/Manager Credit Risk What will your day look like - Leading a dynamic team to deliver high impact risk solutions across credit risk (underwriting, exposure controls and line management). - Work with stakeholders across product management, data science, and engineering to build relationship with the partner teams and drive implementation of risk strategies - Manage challenging time constraints to ensure on-time delivery of projects. - Work closely with partner teams in identifying, evaluating, and recommending new data that helps in risk differentiation. - Analyze loss trends and simulate risk decisioning strategies that help optimize revenue, approval rates etc. - Work closely with data science team and recommends credit risk decisioning and model deployment strategy. - Build a risk scorecard that leverages both internal performance data and external performance data that will be leveraged for credit decisioning at both underwriting and account management reviews for existing customers. - Collates analysis and builds presentations that helps articulate the risk strategy for the leadership team. To Help Us Level Up, You Will Ideally Have : - Quantitative background in engineering, statistics, math, economics, business, or related disciplines. - 5+ years experience in analyzing data and using database query language (e. SQL) analysis and programming and developer tools such as Python, R, data bricks in a finance or analytics field. - 2+ years of experience in leading high performing team of analysts. - Experience in working with non-traditional data such as social media will be a big plus. - Prior model building experience is a plus but not critical. - Possesses an analytical mindset and strong problem-solving skills. - Attention to detail and ability to multitask. - Comfortable working in a fast-paced environment and dealing with ambiguity. - Possesses strong communication, interpersonal and presentation skills; and ability to engage and collaborate with multiple stakeholders across teams. - Extremely proactive communicator willing to raise flags when needed and keep team members informed of ongoing risk or fraud related activities.

Flipkart is looking for Senior Data Scientist to join our dynamic team and embark on a rewarding career journeyData Analysis: Analyze large datasets to identify trends, patterns, and correlations that can provide valuable insights for the organization's strategic decision-making process.Machine Learning: Develop and deploy machine learning models for various business applications, such as predictive modeling, classification, recommendation systems, and anomaly detection.Model Validation: Assess and validate the performance of machine learning models through rigorous testing, evaluation, and tuning to ensure high accuracy and reliability.Data Visualization: Create clear and compelling data visualizations to present complex analyses and results to both technical and non-technical stakeholders.Predictive Analytics: Utilize predictive modeling techniques to forecast business outcomes, customer behavior, and market trends to support business planning and strategy.Data-driven Decision Making: Collaborate with cross-functional teams to translate analytical findings into actionable insights and drive data-driven decision-making across the organization.Research and Innovation: Stay up-to-date with the latest advancements in data science, machine learning, and related fields, and explore new tools and techniques to improve analytical capabilities.Data Governance: Advocate for data integrity and quality, ensuring that data sources are reliable and appropriately managed, and comply with data privacy and security regulations.

Position Summary... What youll do... About Team International Data Science team at Walmart Global Tech is focused on using the latest research in machine learning, statistics and optimization to solve business problems in variety of areas in retail such as ecommerce search and personalization, fraud and loss prevention, assortment, pricing, sourcing, customer, supply chain, and replenishment areas for multiple countries within Walmart s global operations. We mine data, distill insights, extract information, build analytical models, deploy Machine Learning algorithms, and use the latest algorithms and technology to empower business decision-making. We work with engineers to build reference architectures and machine learning pipelines in a big data ecosystem to productize our solutions. Advanced analytical algorithms driven by our team will help Walmart to optimize business operations, business practices and change the way our customers shop. The data science community at Walmart Global Tech is active in most of the Hack events, utilizing the petabytes of data at our disposal, to build some of the coolest ideas. All the work we do at Walmart Labs will eventually benefit our operations & our associates, helping Customers Save Money to Live Better. Your Opportunity As a Data Scientist for Walmart Global Tech, you ll have the opportunity to Generate data-derived insights across the wide range of retail divisions by developing advanced statistical models, machine learning algorithms and computational algorithms based on business initiatives Work on gathering of data, assessing data validity and synthesizing data into large analytics datasets to support project goals Utilize big data analytics and advanced data science techniques to identify trends, patterns, and discrepancies in data. Determine additional data needed to support insights Build and train statistical models and machine learning algorithms with minimal guidance for replication for future projects Communicate recommendations to senior team members and business partners and share actionable insights What You Will Do Play a key role to solve complex problems in the area of fraud and loss prevention, among other topics in retail, and drive actionable insights from petabytes of data Utilize product mindset to build, scale and deploy holistic data science products after successful prototyping Demonstrate incremental solution approach with agile and flexible ability to overcome practical problems Participate in data science project teams as a valuable contributor. Partner with senior data science team members to assess customer needs and define business questions Clearly articulate and present recommendations to product and business partners, and share actionable insights Partner and engage with associates in other regions for delivering best services to the customers around the globe Work with customer centric mindset to deliver high quality business driven analytic solution Mentor peers and analysts across the division in analytical best practices Drive innovation in approach, method, practices, process, outcome, delivery, or any component of end-to-end problem solving Promote and support company policies, procedures, mission, values, and standards of ethics and integrity What You Will Bring Bachelors with > 5 years of relevant experience OR Masters with > 3 years of relevant experience OR PHD in Comp Science/Statistics/Mathematics with > 1 year of relevant experience Experience in Analyzing the Complex Problems and translate it into data science algorithms Experience in machine learning, supervised and unsupervised: NLP, Classification, Data/Text Mining, Multi-modal supervised and unsupervised models, Neural Networks, Deep Learning Algorithms Experience in statistical learning: Predictive & Prescriptive Analytics, Web Analytics, Parametric and Non-parametric models, Regression, Time Series, Dynamic/Causal Model, Statistical Learning, Guided Decisions, Topic Modeling Experience with big data analytics - identifying trends, patterns, and outliers in large volumes of data Embedding generation from training materials, storage and retrieval from Vector Databases, set-up and provisioning of managed LLM gateways, development of Retrieval augmented generation based LLM agents, model selection, iterative prompt engineering and finetuning based on accuracy and user-feedback, monitoring and governance. Lead role mentoring multiple Jr. Analysts on approach and results. Strong Experience in Python, PySpark Google Cloud platform, Vertex AI, Kubeflow, model deployment Strong Experience with big data platforms - Hadoop (Hive, Map Reduce, Scala) Preferred Qualifications: Domain Knowledge in Retail or FinTech, ideally in fraud and loss prevention. Published papers or given talks in leading academic and research journals Published papers or given talks in Data Science Forums Hold data science related patents Experience with big data platforms - Hadoop (Hive, Pig, Map Reduce, HQL) / Spark Experience in deep learning and worked in TensorFlow and Torch Experience with GPU/CUDA for computational efficiency About Walmart Global Tech . . Flexible, hybrid work . Benefits . Belonging . . Equal Opportunity Employer Walmart, Inc., is an Equal Opportunities Employer - By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing unique styles, experiences, identities, ideas and opinions - while being inclusive of all people. Minimum Qualifications... Minimum Qualifications:Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years experience in an analytics or related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Option 3: 4 years experience in an analytics or related field. Preferred Qualifications... Primary Location... BLOCK- 1, PRESTIGE TECH PACIFIC PARK, SY NO. 38/1, OUTER RING ROAD KADUBEESANAHALLI, , India

You ll be at the cutting edge of the most advanced analytics in the media industry. Seeing the industry improve and change from the very front. You ll be working in a close-knit friendly team who are there to support you at every stage of your career. We truly work as a team! You ll be constantly learning and challenged. No two days will ever be the same, and every day there an opportunity to improve on everything that has gone before. Measures of success: In 3 months, you would have: Been fully immersed in the team s modelling approaches, developed a good working relationship with the rest of the modelling team and worked on your first client project In 6 months, you would have: Completed your first 1-2 client modelling projects, from modelling building, validation and sign-off including ongoing management with little input from your manager In 12 months, you would have: Worked across a number of projects and taken on increasing ownership of the modelling process, actively participating in ongoing improvements of processes and workflows Responsibilities of the role: Support Account Lead (Modelling)/Director in day to day running of technical aspects of own projects Be responsible for modelling on own projects and begin to take the stakeholder facing elements of projects Take a major role in a building or updating models, ensuring they are statistically robust and intuitive whilst ensuring key modelling questions are answered Ensure our modelling processes are consistent across client projects, with a focus on statistical robustness Design, develop and maintain modelling processes, troubleshooting as required Coach and develop junior team member(s), where applicable, so they maximize their potential What you will need: At least 4 year s hands on experience in Market Mix Modelling, with rich and complete data sets Degree or degree-level understanding of Economics, Math s, Stats, Sciences or another numerical subject Experience in modelling projects for time series econometrics in the media or marketing industry strong Market Mix Modelling technical understanding and experience is required An analytical mindset, able to approach issues and challenges from a variety of angles Highly numerate, with strong mathematical acumen Great communication skills Ability to priorities Advanced Excel user Strong knowledge of common modelling packages, Excel, PowerPoint, R or other programming languag

At HERE we take it upon ourselves to be the change we wish to see. We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people s lives. If you are inspired by an open world and driven to create positive change, join us. Learn more about us on our YouTube Channel. The Lead Data Scientist in this team would have to be passionate about innovating and developing machine learning and data analytics solutions to build our industry-leading map. We provide the opportunity to collaborate with an energetic and dedicated team that works on cutting-edge technology to create tools and services. The candidate will work with researchers, developers, architects, IT to develop, deploy, and maintain applications in multiple environments. Responsibilities: Help design and build the next iteration of process automation in HERE Core Map processes employing a highly scalable Big Data infrastructure and machine learning as applied to global-scale digital map-making. Build and test analytic and statistical models to improve a wide variety of both internal data-driven processes for map-making data decisions and system control needs. Act as an expert and evangelist in areas of data mining, machine learning, statistics, and predictive analysis and modeling. Function as a predictive modeling or application team lead on Core Map projects. Who are you? MS or PhD in a discipline such as Statistics, Applied Mathematics, Computer Science, or Econometrics with an emphasis or thesis work on one or more of the following: computational statistics/science/engineering, data mining, machine learning, and optimization. Minimum of 8+ years related professional experience. Knowledge of data mining and analytic methods such as regression, classifiers, clustering, association rules, decision trees, Bayesian network analysis, etc. Should have expert-level knowledge in one or more of these areas. Knowledge of Computer Vision, Deep Learning and Point Cloud Processing algorithms. Proficiency with a statistical analysis package and associated scripting language such as Python, R, Matlab, SAS, etc. Programming experience with SQL, shell script, Python, etc. Knowledge of and ideally some experience with tools such as Pig, Hive, etc., for working with big data in Hadoop and/or Spark for data extraction and data prep for analysis. Experience with and demonstrated capability to effectively interact with both internal and external customer executives, technical and non-technical to explain uses and value of predictive systems and techniques. Demonstrated proficiency with understanding, specifying and explaining predictive modeling solutions and organizing teams of other data scientists and engineers to execute projects delivering those solutions. Preferred Qualifications: Development experience with and Scala Development experience with Docker Development experience with GIS data Development experience with NoSQL (i.e. DynamoDB) What You ll Get: Challenging problems to solve Opportunities to learn cool new things Work that makes a difference in the world Freedom to decide how to perform your work Variety in the types of projects Feedback so you will know how well you are doing Collaborative, Supportive Colleagues

Job Title Marketing Data Science - General Manager Job Description Job Responsibilities: Analyzes and synthesizes complex data sets to develop innovative solutions, formulate advanced hypotheses, and create sophisticated proof of concepts to validate and enhance analytical models. Ensures the integrity and reliability of data through the implementation of robust validation protocols, advanced data governance frameworks, and comprehensive quality assurance processes, working under limited supervision. Participates in large-scale data mining projects, utilizing cutting-edge algorithms, AI, and machine learning techniques to uncover deep insights and actionable intelligence from vast, multi-source data sets. Coordinates the end-to-end deployment and rigorous validation of data science solutions, ensuring optimal performance, seamless integration, and alignment with enterprise systems and business processes. Builds and optimizes scalable, high-performance data pipelines and workflows using state-of-the-art big data technologies, ensuring efficient handling and processing of large-scale data for advanced analytics. Develops, documents, and disseminates advanced analytical methodologies and best practices, ensuring reproducibility, transparency, and fostering cross-functional collaboration and knowledge sharing. Evaluates and implements cutting-edge AI and machine learning techniques, pioneering innovative approaches to address complex business challenges and drive strategic advancements in analytics. Monitors, maintains, and continuously enhances the performance of deployed models, conducting regular reviews, updates, and optimizations to ensure sustained accuracy, relevance, and business impact. Identifies, assesses, and leads the implementation of advanced data science methodologies and technologies, driving continuous innovation and elevating Philips analytics capabilities to new heights. Guides junior data scientists and analysts, providing expert advice, training, and fostering a culture of excellence, continuous learning, and professional growth within the data science team. Participates in strategic initiatives to evaluate and integrate emerging technologies, open-source tools, and advanced data science frameworks, ensuring Philips stays at the forefront of innovation and maintains a competitive edge in the analytics domain. Minimum required Education: Bachelors / Masters Degree in Computer Science, Econometrics, Artificial Intelligence, Applied Mathematics, Statistics or equivalent. Minimum required Experience: Minimum 15 years of experience with Bachelors OR Minimum 13 years of experience with Masters in areas such as Data Analytics, Data Science, Data Mining, Artificial Intelligence, Pattern Recognition or equivalent. Preferred Skills: Data Analysis & Interpretation Data Governance Statistical Methods Statistical Programming Software Business Intelligence Tools Data Mining Machine Learning Engineering Fundamentals Research & Analysis Requirements Analysis Root Cause Analysis (RCA) Data Quality Management Systems Regulatory Compliance How we work together We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. Onsite roles require full-time presence in the company s facilities. Field roles are most effectively done outside of the company s main facilities, generally at the customers or suppliers locations. Indicate if this role is an office/field/onsite role. If you re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care here .

Job Title Data Scientist - Computer Vision Job Description We are seeking an experienced Data Scientist specializing in AI for Computer Vision to join our dynamic team. Your primary responsibilities will include developing, fine-tuning, and optimizing AI models for computer vision applications, driving innovation in various healthcare applications. You will work closely with cross-functional teams, including machine learning engineers, software developers, and product managers, to deliver state-of-the-art AI solutions. Your role: Explore and develop innovative Artificial Intelligence (AI) algorithms for healthcare applications Create and refine AI algorithms for pre- and post-processing of images and videos, focusing on data from various imaging modalities Develop and implement machine learning and deep learning techniques for segmentation, classification, and statistical modeling. Demonstrate expertise in image processing, object detection, segmentation, and classification. Proficient in Python programming Possess a strong understanding of algorithms and frameworks such as TensorFlow, PyTorch, and Keras Experienced with version control systems (e.g., Git) and software development practices Develop and Optimize Computer Vision Models: Design, train, and fine-tune DL models for real-world applications Data Preparation & Engineering: Gather, clean, and preprocess large-scale image and video datasets for training and evaluation of computer vision models Experimentation & Model Evaluation: Conduct A/B testing and assess model performance using quantitative metrics (e.g., IoU, mAP, precision, recall) Research & Innovation: Stay updated with the latest advancements in computer vision, deep learning, and related technologies Deployment & Scaling: Work with ML engineers to deploy models into production environments using cloud platforms (AWS, Azure) and frameworks like TensorFlow, PyTorch, and OpenCV Collaboration & Communication: Work closely with cross-functional teams to integrate computer vision solutions into business processes and applications. Youre the right fit if: Bachelor s or master s Degree: In computer science, AI, Data Science, Machine Learning, or a related field Experience: 3+ years in machine learning, deep learning, or AI research, with at least 1 year of hands-on experience in developing computer vision-based AI applications Programming Proficiency: Strong proficiency in Python and ML frameworks like TensorFlow and PyTorch Domain Knowledge: Knowledge of computer vision, natural language processing (NLP), or multimodal AI applications Technical Skills: Familiarity with computer vision techniques and fine-tuning of models Problem-Solving Skills: Strong problem-solving skills and the ability to work in a fast-paced, research-driven environment MLOps Tools: Hands-on experience with MLOps tools (e.g., MLflow, Kubeflow, Docker, Kubernetes) Ethical AI: Understanding of ethical AI and bias mitigation in computer vision models. Publications and Contributions: Strong publication record or contributions to open-source AI projects. How we work together We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. this role is an office role. If you re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care here . #LI-EU #LI-Hybrid #LI-PHILIN

Position Summary... What youll do... About Team International Data Science team at Walmart Global Tech is focused on using the latest research in machine learning, statistics and optimization to solve business problems in variety of areas in retail such as ecommerce search and personalization, fraud and loss prevention, assortment, pricing, sourcing, customer, supply chain, and replenishment areas for multiple countries within Walmart s global operations. We mine data, distill insights, extract information, build analytical models, deploy Machine Learning algorithms, and use the latest algorithms and technology to empower business decision-making. We work with engineers to build reference architectures and machine learning pipelines in a big data ecosystem to productize our solutions. Advanced analytical algorithms driven by our team will help Walmart to optimize business operations, business practices and change the way our customers shop. The data science community at Walmart Global Tech is active in most of the Hack events, utilizing the petabytes of data at our disposal, to build some of the coolest ideas. All the work we do at Walmart Labs will eventually benefit our operations & our associates, helping Customers Save Money to Live Better. Your Opportunity As an Senior Data Scientist for Walmart Global Tech, you ll have the opportunity to Drive data-derived insights across the wide range of retail divisions by developing advanced statistical models, machine learning algorithms and computational algorithms based on business initiatives Direct the gathering of data, assessing data validity and synthesizing data into large analytics datasets to support project goals Utilize big data analytics and advanced data science techniques to identify trends, patterns, and discrepancies in data. Determine additional data needed to support insights Build and train statistical models and machine learning algorithms for replication for future projects Communicate recommendations to business partners and influencing future plans based on insights What You Will Do Play a key role to solve complex problems in the area of fraud and loss prevention, among other topics in retail, and drive actionable insights from petabytes of data Utilize product mindset to build, scale and deploy holistic data science products after successful prototyping Demonstrate incremental solution approach with agile and flexible ability to overcome practical problems Lead small teams and participate in data science project teams by serving as the technical lead for project Partner with senior team members to assess customer needs and define business questions Clearly articulate and present recommendations to business partners, and influence future plans based on insights Partner and engage with associates in other regions for delivering best services to the customers around the globe Work with customer centric mindset to deliver high quality business driven analytic solution Mentor peers and analysts across the division in analytical best practices Drive innovation in approach, method, practices, process, outcome, delivery, or any component of end-to-end problem solving Promote and support company policies, procedures, mission, values, and standards of ethics and integrity What You Will Bring Bachelors with > 7 years of relevant experience OR Masters with > 5 years of relevant experience OR PHD in Comp Science/Statistics/Mathematics with > 3 years of relevant experience Experience in Analyzing the Complex Problems and translate it into data science algorithms Experience in machine learning, supervised and unsupervised: NLP, Classification, Data/Text Mining, Multi-modal supervised and unsupervised models, Neural Networks, Deep Learning Algorithms Experience in statistical learning: Predictive & Prescriptive Analytics, Web Analytics, Parametric and Non-parametric models, Regression, Time Series, Dynamic/Causal Model, Statistical Learning, Guided Decisions, Topic Modeling Experience with big data analytics - identifying trends, patterns, and outliers in large volumes of data Embedding generation from training materials, storage and retrieval from Vector Databases, set-up and provisioning of managed LLM gateways, development of Retrieval augmented generation based LLM agents, model selection, iterative prompt engineering and finetuning based on accuracy and user-feedback, monitoring and governance. Lead role mentoring multiple Jr. Analysts on approach and results. Strong Experience in Python, PySpark Google Cloud platform, Vertex AI, Kubeflow, model deployment Strong Experience with big data platforms - Hadoop (Hive, Map Reduce, Scala) Preferred Qualifications: Domain Knowledge in Retail or FinTech, ideally in fraud and loss prevention. Published papers or given talks in leading academic and research journals Published papers or given talks in Data Science Forums Hold data science related patents Experience with big data platforms - Hadoop (Hive, Pig, Map Reduce, HQL) / Spark Experience in deep learning and worked in TensorFlow and Torch Experience with GPU/CUDA for computational efficiency About Walmart Global Tech . . Flexible, hybrid work . Benefits . Belonging . . Equal Opportunity Employer Walmart, Inc., is an Equal Opportunities Employer - By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing unique styles, experiences, identities, ideas and opinions - while being inclusive of all people. Minimum Qualifications... Minimum Qualifications:Option 1- Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years experience in an analytics related field. Option 2- Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years experience in an analytics related field. Option 3 - 5 years experience in an analytics or related field. Preferred Qualifications... Primary Location... BLOCK- 1, PRESTIGE TECH PACIFIC PARK, SY NO. 38/1, OUTER RING ROAD KADUBEESANAHALLI, , India

About the job What will your day look like - Leading a dynamic team to deliver high impact risk solutions across credit risk (underwriting, exposure controls and line management). - Work with stakeholders across product management, data science, and engineering to build relationship with the partner teams and drive implementation of risk strategies - Manage challenging time constraints to ensure on-time delivery of projects. - Work closely with partner teams in identifying, evaluating, and recommending new data that helps in risk differentiation. - Analyze loss trends and simulate risk decisioning strategies that help optimize revenue, approval rates etc. - Work closely with data science team and recommends credit risk decisioning and model deployment strategy. - Build a risk scorecard that leverages both internal performance data and external performance data that will be leveraged for credit decisioning at both underwriting and account management reviews for existing customers. - Collates analysis and builds presentations that helps articulate the risk strategy for the leadership team. To Help Us Level Up, You Will Ideally Have : - Quantitative background in engineering, statistics, math, economics, business, or related disciplines. - 5+ years experience in analyzing data and using database query language (e. SQL) analysis and programming and developer tools such as Python, R, data bricks in a finance or analytics field. - 2+ years of experience in leading high performing team of analysts. - Experience in working with non-traditional data such as social media will be a big plus. - Prior model building experience is a plus but not critical. - Possesses an analytical mindset and strong problem-solving skills. - Attention to detail and ability to multitask. - Comfortable working in a fast-paced environment and dealing with ambiguity. - Possesses strong communication, interpersonal and presentation skills; and ability to engage and collaborate with multiple stakeholders across teams. - Extremely proactive communicator willing to raise flags when needed and keep team members informed of ongoing risk or fraud related activities.

What will your day look like - Leading a dynamic team to deliver high impact risk solutions across credit risk (underwriting, exposure controls and line management). - Work with stakeholders across product management, data science, and engineering to build relationship with the partner teams and drive implementation of risk strategies - Manage challenging time constraints to ensure on-time delivery of projects. - Work closely with partner teams in identifying, evaluating, and recommending new data that helps in risk differentiation. - Analyze loss trends and simulate risk decisioning strategies that help optimize revenue, approval rates etc. - Work closely with data science team and recommends credit risk decisioning and model deployment strategy. - Build a risk scorecard that leverages both internal performance data and external performance data that will be leveraged for credit decisioning at both underwriting and account management reviews for existing customers. - Collates analysis and builds presentations that helps articulate the risk strategy for the leadership team. To Help Us Level Up, You Will Ideally Have : - Quantitative background in engineering, statistics, math, economics, business, or related disciplines. - 5+ years experience in analyzing data and using database query language (e. SQL) analysis and programming and developer tools such as Python, R, data bricks in a finance or analytics field. - 2+ years of experience in leading high performing team of analysts. - Experience in working with non-traditional data such as social media will be a big plus. - Prior model building experience is a plus but not critical. - Possesses an analytical mindset and strong problem-solving skills. - Attention to detail and ability to multitask. - Comfortable working in a fast-paced environment and dealing with ambiguity. - Possesses strong communication, interpersonal and presentation skills; and ability to engage and collaborate with multiple stakeholders across teams. - Extremely proactive communicator willing to raise flags when needed and keep team members informed of ongoing risk or fraud related activities.

About the job Position: Assistant Manager/Manager Credit Risk What will your day look like - Leading a dynamic team to deliver high impact risk solutions across credit risk (underwriting, exposure controls and line management). - Work with stakeholders across product management, data science, and engineering to build relationship with the partner teams and drive implementation of risk strategies - Manage challenging time constraints to ensure on-time delivery of projects. - Work closely with partner teams in identifying, evaluating, and recommending new data that helps in risk differentiation. - Analyze loss trends and simulate risk decisioning strategies that help optimize revenue, approval rates etc. - Work closely with data science team and recommends credit risk decisioning and model deployment strategy. - Build a risk scorecard that leverages both internal performance data and external performance data that will be leveraged for credit decisioning at both underwriting and account management reviews for existing customers. - Collates analysis and builds presentations that helps articulate the risk strategy for the leadership team. To Help Us Level Up, You Will Ideally Have : - Quantitative background in engineering, statistics, math, economics, business, or related disciplines. - 5+ years experience in analyzing data and using database query language (e. SQL) analysis and programming and developer tools such as Python, R, data bricks in a finance or analytics field. - 2+ years of experience in leading high performing team of analysts. - Experience in working with non-traditional data such as social media will be a big plus. - Prior model building experience is a plus but not critical. - Possesses an analytical mindset and strong problem-solving skills. - Attention to detail and ability to multitask. - Comfortable working in a fast-paced environment and dealing with ambiguity. - Possesses strong communication, interpersonal and presentation skills; and ability to engage and collaborate with multiple stakeholders across teams. - Extremely proactive communicator willing to raise flags when needed and keep team members informed of ongoing risk or fraud related activities.

Roles & Responsibilities : Assist in designing, developing, and deploying machine learning models. Perform data cleaning, preprocessing, feature engineering, and exploratory data analysis (EDA). Support in building predictive models and conducting A/B testing. Work with cross-functional teams to understand data requirements and deliver insights. Use tools like Python, TensorFlow, Scikit-learn, Pandas, etc. , for algorithm development. Interpret and communicate model outputs and business insights clearly. Maintain documentation of experiments, models, and results. Stay updated on the latest AI/ML research, tools, and trends.

Internal Title: Data Science Advisor External Title: Data Science Advisor Role Summary As a member of the Data Science Center of Expertise (DSCOE), the DS Advisor is responsible for leading and enabling Data Science within Cigna Group with demonstrable aptitude in Data Science (i) Technical Skills (ii) Leadership (iii) Scope & Impact (iv) Influence. Please see Qualifications section below for more details. The role will support the development and maintenance of proprietary advanced neural network ( AI ) foundation models in support of Cigna s business operations. Key Responsibilities: Write code using PyTorch and/or Tensorflow to implement, test, and operationalize deep learning models Collaborate with data scientists and engineers to improve deep learning models and implement business-facing solutions built on top of those models Take responsibility for improving code performance and quality Follow developments in deep learning technology to identify opportunities to improve models Qualifications: Data Science Technical Skills Bachelors or Masters (Preferred) in statistics, computer science or equivalent field with 11-13 years of relevant experience Strong proficiency in ML, statistics, python or R, SQL, version control (e. g. , Git), health care data (e. g. , claims, EHR), with emphasis on Tensorflow and Pytorch Ability to promote best coding practices, championing a culture of documentation/logging Thorough understanding of ML lifecycle, including necessary tradeoffs and associated risks Leadership in Data Science Can own a project end-to-end e. g. , scoping, business value estimation, ideation, dev, prod, timeline Collaborates and guides junior team members in completion of projects and career development Works cross functionally with technical (e. g. , Data Science, Data Engineering) and business (e. g. , clinical, marketing, pricing, business analysts) to implement solutions with measurable value Scope and Impact Independently delivers clear and well-developed presentations for both technical and business audiences Creates data science specific project goals associated with project deliverables Articulates timeline changes, rationale, and goals to meet deadlines moving forward Values diversity, growth mindset, and improving health outcomes of our customers Level of Influence Communicate with stakeholders to identify opportunities and possible solutions based on business need Draft project charter, timeline, and features/stories Influence matrix-partner leadership About Evernorth Health Services Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.

Internal Title: Data Science Advisor External Title: Data Science Advisor Role Summary As a member of the Data Science Center of Expertise (DSCOE), the DS Advisor is responsible for leading and enabling Data Science within Cigna Group with demonstrable aptitude in Data Science (i) Technical Skills (ii) Leadership (iii) Scope & Impact (iv) Influence. Please see Qualifications section below for more details. The role will support the development and maintenance of machine learning models, with a focus on ensuring that models meet Cigna s requirements for governance and legal compliance. The role will require collaboration with other data scientists and involve work across many lines of business. Key Responsibilities: Analyze model performance of new models with specific regards to requirements for legal compliance and governance standards around accuracy and bias; Perform periodic analyses of performance of existing models to ensure continued compliance with internal and external standards for accuracy and bias; Conduct research (i. e. literature review) to understand when bias may be biologically or medically justifiable, and to what degree, for example: finding evidence from literature that heart disease is more prevalent among older populations Using machine learning development tools to mitigate model bias when this is determined to be necessary Collaborating with data scientists, business stakeholders, and governance/compliance teams to ensure models meet compliance and governance standards Qualifications: Bachelors or Masters/PhD (preferred) in statistics or computer science or equivalent field with 11-13 years of relevant experience Strong proficiency in ML, statistics, python or R, SQL, version control (e. g. , Git), health care data (e. g. , claims, EHR) Ability to promote best coding practices, championing a culture of documentation/logging Thorough understanding of ML lifecycle, including necessary tradeoffs and associated risks Leadership in Data Science Can own a project end-to-end e. g. , scoping, business value estimation, ideation, dev, prod, timeline Collaborates and guides junior team members in completion of projects and career development Works cross functionally with technical (e. g. , Data Science, Data Engineering) and business (e. g. , clinical, marketing, pricing, business analysts) to implement solutions with measurable value Scope and Impact Independently delivers clear and well-developed presentations for both technical and business audiences Creates data science specific project goals associated with project deliverables Articulates timeline changes, rationale, and goals to meet deadlines moving forward Values diversity, growth mindset, and improving health outcomes of our customers Level of Influence Communicate with stakeholders to identify opportunities and possible solutions based on business need Draft project charter, timeline, and features/stories Influence matrix-partner leadership About Evernorth Health Services Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.

Job Summary - The candidate will have a strong background in machine learning algorithms, deep learning frameworks, and practical experience building and deploying AI solutions. You will work closely with cross-functional teams to design, develop, and implement innovative AI-driven products and solutions. In this Role, Your Responsibilities Will Be: Design, develop, and deploy machine learning and deep learning models for various business applications. Lead and contribute to projects involving Generative AI, including large language models, image generation, and related technologies. Collaborate with data scientists, software engineers, and product managers to deliver end-to-end AI solutions. Analyze and preprocess large datasets to extract meaningful insights and features. Develop and implement predictive models and algorithms to solve business problems and improve processes. Evaluate and optimize model performance using appropriate metrics and techniques. Stay up to date with the latest advancements in AI/ML and Generative AI research and technologies. Document processes, models, and experiments for knowledge sharing and reproducibility. Drive continuous improvement through innovation, process optimization, and knowledge sharing. Participate in Agile ceremonies and contribute to sprint planning and retrospectives. Take ownership of deliverables and work independently when required. Who You Are: You are a self-directed and proactive professional who takes the initiative without waiting for detailed instructions, quickly adapts to new technologies and changing requirements, and strategically applies your knowledge to solve complex business problems. You continuously stay current with emerging AI trends, and drive innovation while maintaining a focus on code quality and best practices. For This Role, You Will Need: Bachelor s degree in computer science, Data Science, Statistics, or a related field or a Masters degree or higher is preferred. 3-4 years of experience in AI/ML project development with minimum 2 years hands-on experience with Generative AI (e. g. , GPT, Embeddings, Vector databases, Diffusion models) Proficiency in programming languages such as Python, and experience with data manipulation libraries (e. g. , pandas, NumPy, scikit-learn). Solid grasp of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc. Hands-on experience with LangChain, LlamaIndex, Hugging Face ecosystem, and prompt engineering techniques. Experience building Retrieval-Augmented Generation systems and semantic search applications. Experience developing and deploying ML models via REST APIs using FastAPI, Flask, or similar frameworks. Proficiency in TensorFlow, PyTorch, and familiarity with model fine-tuning and RLHF (Reinforcement Learning from Human Feedback). Experience with SQL and NoSQL databases (MongoDB, PostgreSQL) and Vector databases. Familiarity with CI/CD pipelines, Git, and Azure DevOps or similar tools. Preferred Qualifications that Set You Apart: Possession of relevant certification/s in data science from reputed universities specializing in AI. Strong analytical and problem-solving skills, with the ability to work with complex data sets and extract actionable insights. Effective verbal and written communication skills as well as good presentation skills. Our Culture & Commitment to You . .

Role & responsibilities Work with a talented group of data scientists, software developers and product owners to identify possible applications for AI and machine learning. Understand Cvent's product lines, their business models and the data collected. Perform machine learning research on various types of data (numeric, text, audio, video, image). Deliver machine learning models in a state that can be picked up by a software development team and operationalized via Cvent's products. Thoroughly document your work as well as results, to the extent that another data scientist can replicate them. Progressively enhance your skills in machine learning, writing production-quality Python code, and communication. Preferred candidate profile A Bachelor's degree in a quantitative field (natural sciences, math, statistics, computer science). At least 3 years of experience working as a data scientist in industry. In-depth familiarity with the Linux operating system and command-line work. Conceptual and technical understanding of machine learning, including model training and evaluation. Experience with formal Python coding. Proficiency in machine learning packages in Python. Familiarity with Generative AI based system development. Experience with relational databases and query-writing in SQL. Knowledge of linear algebra and statistics. Skills in data exploration and interpretation. It will be excellent if you also have: A Master's or PhD degree in a quantitative field. Experience with Databricks and/or Snowflake platforms. Ability to write production-quality Python code with testing coverage. Experience working on a cloud platform (AWS/Azure/Google Cloud), especially machine learning R&D on a cloud platform. Knowledge of the software development lifecycle, including Git processes, code reviews, test-driven development and CI/CD. Experience with A/B testing. Skills in data visualization and dashboarding. Knowledge of how to interact with a REST API. Proven ability for proactive, independent work with some supervision. Strong verbal and written communication. If you are a good fit for the role, please apply! Your resume should be no more than two pages in length.

Job Description Circle K (Part of Alimentation Couche-Tard Inc., (ACT)) is a global Fortune 200 company. A leader in the convenience store and fuel space, it has a footprint across 31 countries and territories. Circle K India Data & Analytics team is an integral part of ACT s Global Data & Analytics Team, and the Data Scientist will be a key player on this team that will help grow analytics globally at ACT. This is a unique opportunity to be a part of an experienced team of data scientists and analysts within a large organization. The Data Scientist is responsible for delivering advanced analytics and insights that drive business results and operational excellence to our dynamic and forward-thinking Merchandise team in Europe. The ideal candidate should possess both technical capabilities as well as commercial savviness, should be able to drive independent analysis as well as work effectively in a group. About the role We are looking for an individual who is a proven problem solver with exceptional critical thinking ability. The candidate should have a high sense of curiosity and be comfortable with ambiguity when faced with a difficult challenge. Additionally, the candidate should possess excellent communication skills, the ability to collaborate with others, and simply and effectively communicate complex concepts with a non-technical audience. Roles & Responsibilities Analytics (Data & Insights) Evaluate performance of categories and activities, using proven and advanced analytical methods Support stakeholders with actionable insights based on transactional, financial or customer data on an ongoing basis Oversee the design and measurement of experiments and pilots Initiate and conduct advanced analytics projects such as clustering, forecasting, causal impact Build highly impactful and intuitive dashboards that bring the underlying data to life through insights Operational Excellence Improve data quality by using and improving tools to automatically detect issues Develop analytical solutions or dashboards using user-centric design techniques in alignment with ACT s protocol Study industry/organization benchmarks and design/develop analytical solutions to monitor or improve business performance across retail, marketing, and other business areas Stakeholder Management Work with Peers, Functional Consultants, Data Engineers, and cross-functional teams to lead / support the complete lifecycle of analytical applications, from development of mock-ups and storyboards to complete production ready application Provide regular updates to stakeholders to simplify and clarify complex concepts, and communicate the output of work to business Create compelling documentation or artefacts that connects business to the solutions Coordinate internally to share key learning with other teams and lead to accelerated business performance Be an advocate for a data-driven culture among the stakeholders Job Requirements Education A higher degree in an analytical discipline like Finance, Mathematics, Statistics, Engineering, or similar Relevant Experience Experience: 3-4 years for Data Scientist Relevant working experience in a quantitative/ applied analytics role Experience with programming, and the ability to quickly pick up handling large data volumes with modern data processing tools, e.g. by using Spark / SQL / Python Excellent communication skills in English, both verbal and written Behavioural Skills Delivery Excellence Business disposition Social intelligence Innovation and agility Knowledge Functional Analytics (Retail Analytics, Supply Chain Analytics, Marketing Analytics, Customer Analytics, etc.) Working understanding of Statistical modelling & Time Series Analysis using Analytical tools (Python, PySpark, R, etc.) Knowledge of statistics and experimental design (A/B testing, hypothesis testing, causal inference) Practical experience building scalable ML models, feature engineering, model evaluation metrics, and statistical inference Enterprise reporting systems, relational (MySQL, Microsoft SQL Server etc.), database management systems Business intelligence & reporting (Power BI) Cloud computing services in Azure/ AWS/ GCP for analytics #LI-DS1

Job Description Alimentation Couche-Tard Inc., (ACT) is a global Fortune 200 company. A leader in the convenience store and fuel space, it has footprint across 31 countries and territories. Circle K India Data & Analytics team is an integral part of ACT s Global Data & Analytics Team, and the Data Scientist will be a key player on this team that will help grow analytics globally at ACT. The hired candidate will partner with multiple departments, including Global Marketing, Merchandising, Global Technology, and Business Units. About the Role The incumbent will be responsible for delivering advanced analytics projects that drive business results including interpreting business, selecting the appropriate methodology, data cleaning, exploratory data analysis, model building, and creation of polished deliverables. Responsibilities Analytics & Strategy Analyse large-scale structured and unstructured data; develop deep-dive analyses and machine learning models in retail, marketing, merchandising, and other areas of the business Utilize data mining, statistical and machine learning techniques to derive business value from store, product, operations, financial, and customer transactional data Apply multiple algorithms or architectures and recommend the best model with in-depth description to evangelize data-driven business decisions Utilize cloud setup to extract processed data for statistical modelling and big data analysis, and visualization tools to represent large sets of time series/cross-sectional data Operational Excellence Follow industry standards in coding solutions and follow programming life cycle to ensure standard practices across the project Structure hypothesis, build thoughtful analyses, develop underlying data models and bring clarity to previously undefined problems Partner with Data Engineering to build, design and maintain core data infrastructure, pipelines and data workflows to automate dashboards and analyses Stakeholder Engagement Working collaboratively across multiple sets of stakeholders - Business functions, Data Engineers, Data Visualization experts to deliver on project deliverables Articulate complex data science models to business teams and present the insights in easily understandable and innovative formats Job Requirements Education Bachelor s degree required, preferably with a quantitative focus ( Statistics , Business Analytics , Data Science , Math, Economics, etc.) Master s degree preferred (MBA/MS Computer Science /M.Tech Computer Science , etc.) Relevant Experience 3-4 years of relevant working experience in a data science / advanced analytics role Behavioural Skills Delivery Excellence Business disposition Social intelligence Innovation and agility Knowledge Functional Analytics (Supply chain analytics , Marketing Analytics , Customer Analytics ) Statistical modelling using Analytical tools (R, Python , KNIME, etc.) and use big data technologies Knowledge of statistics and experimental design (A/B testing, hypothesis testing, causal inference) Practical experience building scalable ML models, feature engineering, model evaluation metrics, and statistical inference. Practical experience deploying models using MLOps tools and practices (e.g., MLflow, DVC, Docker, etc.) Strong coding proficiency in Python (Pandas, Scikit-learn, PyTorch/TensorFlow, etc.) Big data technologies & framework (AWS, Azure, GCP, Hadoop, Spark, etc.) Enterprise reporting systems, relational (MySQL, Microsoft SQL Server etc.), non-relational (MongoDB, DynamoDB) database management systems and Data Engineering tools Business intelligence & reporting (Power BI, Tableau, Alteryx, etc.) Microsoft Office applications (MS Excel, etc.) #LI-DS1

Job Description Alimentation Couche-Tard Inc., (ACT) is a global Fortune 200 company and a leader in the convenience store and fuel space with over 16,700 stores. It has footprints across 31 countries and territories. Circle K India Data & Analytics team is an integral part of ACT s Global Data & Analytics Team, and the Associate ML Ops Analyst will be a key player on this team that will help grow analytics globally at ACT. The hired candidate will partner with multiple departments, including Global Marketing, Merchandising, Global Technology, and Business Units. About the role The incumbent will be responsible for implementing Azure data services to deliver scalable and sustainable solutions, build model deployment and monitor pipelines to meet business needs. Roles & Responsibilities Development and Integration Collaborate with data scientists to deploy ML models into production environments Implement and maintain CI/CD pipelines for machine learning workflows Use version control tools (e.g., Git) and ML lifecycle management tools (e.g., MLflow) for model tracking, versioning, and management. Design, build as well as optimize applications containerization and orchestration with Docker and Kubernetes and cloud platforms like AWS or Azure Automation & Monitoring Automating pipelines using understanding of Apache Spark and ETL tools like Informatica PowerCenter, Informatica BDM or DEI, Stream Sets and Apache Airflow Implement model monitoring and alerting systems to track model performance, accuracy, and data drift in production environments. Collaboration and Communication Work closely with data scientists to ensure that models are production-ready Collaborate with Data Engineering and Tech teams to ensure infrastructure is optimized for scaling ML applications. Optimization and Scaling Optimize ML pipelines for performance and cost-effectiveness Operational Excellence Help the Data teams leverage best practices to implement Enterprise level solutions. Follow industry standards in coding solutions and follow programming life cycle to ensure standard practices across the project Helping to define common coding standards and model monitoring performance best practices Continuously evaluate the latest packages and frameworks in the ML ecosystem Build automated model deployment data engineering pipelines from plain Python/PySpark mode Stakeholder Engagement Collaborate with Data Scientists, Data Engineers, cloud platform and application engineers to create and implement cloud policies and governance for ML model life cycle. Job Requirements Education & Relevant Experience Bachelor s degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.) Master s degree preferred (MBA/MS Computer Science/M.Tech Computer Science, etc.) 1-2 years of relevant working experience in MLOps Behavioural Skills Delivery Excellence Business disposition Social intelligence Innovation and agility Knowledge Knowledge of core computer science concepts such as common data structures and algorithms, OOPs Programming languages (R, Python, PySpark, etc.) Big data technologies & framework (AWS, Azure, GCP, Hadoop, Spark, etc.) Enterprise reporting systems, relational (MySQL, Microsoft SQL Server etc.), non-relational (MongoDB, DynamoDB) database management systems and Data Engineering tools Exposure to ETL tools and version controlling Experience in building and maintaining CI/CD pipelines for ML models. Understanding of machine-learning, information retrieval or recommendation systems Familiarity with DevOps tools (Docker, Kubernetes, Jenkins, GitLab). #LI-DS1

Job Description Alimentation Couche-Tard Inc., (ACT) is a global Fortune 200 company. A leader in the convenience store and fuel space, it has footprint across 31 countries and territories. The India Data & Analytics Global Capability Centre is an integral part of ACT s Global Data & Analytics Team and the Associate Data Scientist will be a key player on this team that will help grow analytics globally at ACT. About the Role The hired candidate will partner with multiple departments, including Global Marketing, Merchandising, Global Technology, and Business Units. The incumbent will be responsible for delivering advanced analytics projects that drive business results including interpreting business, selecting the appropriate methodology, data cleaning, exploratory data analysis, model building, and creation of polished deliverables. Responsibilities Analyze large-scale structured and unstructured data; develop deep-dive analyses and machine learning models in retail, marketing, merchandising, and other areas of the business Utilize data mining , statistical and machine learning techniques to derive business value from store, product, operations, financial, and customer transactional data Apply multiple algorithms or architectures and recommend the best model with in-depth description to evangelize data-driven business decisions Utilize cloud setup to extract processed data for statistical modelling and big data analysis, and visualization tools to represent large sets of time series/cross-sectional data Structure hypothesis, build thoughtful analyses, develop underlying data models , and bring clarity to previously undefined problems Partner with Data Engineering to build, design and maintain core data infrastructure , pipelines, and data workflows to automate dashboards and analyses Articulate complex data science models to business teams and present the insights in easily understandable and innovative formats Qualifications and experience Bachelor s degree required, preferably with a quantitative focus ( Statistics , Business Analytics , Data Science , Math, Economics, etc.) Master s degree preferred (MBA/MS Computer Science /M.Tech Computer Science , etc.) 1-2 years of relevant working experience in a data science / advanced analytics role Knowledge of Functional Analytics (Supply chain analytics , Marketing Analytics , Customer Analytics ) Knowledge and ability to conduct statistical modelling using Analytical tools (R, Python , KNIME, etc.) and use big data technologies Knowledge of business intelligence & reporting (Power BI, Tableau , Alteryx , etc.) Knowledge of Enterprise reporting systems, relational ( MySQL , Microsoft SQL Server etc.), non-relational database management systems and Data Engineering tools Knowledge and ability to use Big data technologies (Hadoop, Spark, Kafka, Presto etc) and Cloud computing services in Azure/AWS/ GCP for data engineering , ML Ops Ability to delivery, strong disposition towards business and strong interpersonal communication Individual must be organized, dependable, able to multi-task and manage priorities, display initiative, and must have the ability to work independently in a demanding, fast-paced environment. #LI-DS1

Data Scientist Experience: 5 - 8 Years Exp Salary : Competitive Preferred Notice Period : Within 60 Days Opportunity Type: Onsite (Bengaluru) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Data Science/Machine Learning Meesho (One of Uplers' Clients) is Looking for: Data Scientist who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. What You Will Do Develop models and run experiments to infer insights from hard data Improve our product usability and identify new growth opportunities Understand reseller preferences to provide them with the most relevant products Designing discount programs to help our resellers sell more Help resellers better recognise end-customer preferences to improve their revenue Use data to identify bottlenecks that will help our suppliers meet their SLA requirements Model seasonal demand to predict key organisational metrics Mentor junior data scientists in the team What You Will Need Bachelor's/Master's degree in computer science (or similar degrees) 4-8 years of experience as a Data Scientist in a fast-paced organization, preferably B2C Familiarity with Neural Networks, Machine Learning etc. Familiarity with tools like SQL, R, Python, etc. Strong understanding of Statistics and Linear Algebra Strong understanding of hypothesis/model testing and ability to identify common model testing errors Experience designing and running A/B tests and drawing insights from them Proficiency in machine learning algorithms Excellent analytical skills to fetch data from reliable sources to generate accurate insights How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

We are seeking a passionate and skilled Generative AI Engineer to join our AI/ML team. You will be responsible for designing, developing, and deploying cutting-edge GenAI solutions using large language models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI frameworks. This role is ideal for someone who thrives in a fast-paced environment and is excited about building intelligent systems that push the boundaries of AI. Key Responsiblity: Design and implement GenAI solutions leveraging LLMs, RAG pipelines, and Agentic AI architectures. Develop and fine-tune deep learning models for NLP tasks using frameworks like PyTorch or TensorFlow. Build scalable APIs using FastAPI to serve AI models and integrate with enterprise systems. Collaborate with data scientists and ML engineers to deploy models using CI/CD pipelines on Azure. Optimize model performance and ensure robustness in production environments. Stay updated with the latest research and advancements in generative AI and deep learning. Skill: Strong programming skills in Python with experience in building ML/NLP applications. Hands-on experience with Deep Learning , Machine Learning , and Natural Language Processing . Proficiency in working with LLMs (e.g., GPT, LLaMA, Mistral) and RAG architectures. Experience with Agentic AI frameworks and autonomous agent design. Familiarity with FastAPI for building RESTful APIs. Experience with CI/CD pipelines and deploying solutions on Azure Cloud . Solid understanding of data structures, algorithms, and software engineering principles. Bachelors or Master’s degree in Computer Science, AI, Data Science, or related field. If you are interested, please share your resumes to jyothiveerabh.akula@hcltech.com