3566 Data Scientist Jobs - Page 48

About the Role: We're looking for a data-driven Senior Marketing Analyst to join our growing team. In this role, you'll help shape and optimize our customer acquisition, retention, and revenue strategies across third-party delivery platforms in the US. You'll deliver insights that maximize ROI and help us scale profitably Key Responsibilities > Analyze performance of marketing campaigns run on and off-platform (Delivery Platform promotions, ads, incentives, Google, Meta, etc.) to measure ROI and identify growth opportunities. > Monitor and report on customer acquisition costs, retention cohorts, order frequency, and LTV across platforms. > Build dashboards to track spend, conversion funnels, and partner campaign effectiveness. Work cross-functionally with Growth, Ops, and Partnerships teams to test and optimize promotions and incentives. > Develop customer segmentation to identify high-value user segments and target them effectively. > Design and interpret A/B tests to evaluate promotional offers, menu optimizations, pricing tests, and seasonal campaigns. > Analyze impact of operational metrics (delivery time, order accuracy) on customer behavior and repeat usage. > Present findings and recommendations to Marketing, Finance, and Executive teams to guide budget and strategy decisions. Required Qualifications > Bachelor's or Master's degree in Marketing Analytics, Business, Economics, Statistics, or related field. 4+ years in marketing analytics, performance marketing, or growth analytics - preferably in on-demand delivery, QSR, e-commerce, or marketplaces. > Strong proficiency in SQL; experience with BI tools like Looker, Tableau, or Power BI. > Deep understanding of 3rd-party delivery platforms and how marketing levers drive conversion and repeat orders. > Experience measuring and optimizing CAC, LTV, churn, and promotional ROI. > Hands-on experience designing A/B tests and analyzing results. > Ability to translate data into actionable insights for cross-functional teams. > Strong communication and presentation skills. · Customer facing experience Preferred Qualifications • Familiarity with CRM and marketing automation tools (Airtable, HubSpot). • Experience working with partners to co-fund and measure joint campaigns. • Working knowledge of Python or R for advanced analytics. · Previous experience a high-growth startup or on-demand delivery environment.

About Client: Our Client is a multinational IT services and consulting company headquartered in USA, With revenues 19.7 Billion USD, with Global work force of 3,50,000 and Listed in NASDAQ, It is one of the leading IT services firms globally, known for its work in digital transformation, technology consulting, and business process outsourcing, Business Focus on Digital Engineering, Cloud Services, AI and Data Analytics, Enterprise Applications ( SAP, Oracle, Sales Force ), IT Infrastructure, Business Process Out Source. Major delivery centers in India, including cities like Chennai, Pune, Hyderabad, and Bengaluru. Offices in over 35 countries. India is a major operational hub, with as its U.S. headquarters. Job Title : Machine Learning-Data Scientist Key Skills : Python, ML, NLP (LDA, embeddings, RAG) Job Locations : Pune Experience : 7+ Years. Education Qualification : Any Graduation. Work Mode : Hybrid. Employment Type : Contract. Notice Period : Immediate Job Description: Python, ML, NLP (LDA, embeddings, RAG), AI techniques, LLM-based matching (e.g., GPT/embeddings), timeseries forecasting Django is essential Experience with Databricks, Azure ML Stack, OpenAI API, Spark, and fuzzy matching would be a plus. Builds and deploys ML pipelines (incl. MLOps, API endpoints, CI/CD) Works with Langchain, Azure Synapse, Kubernetes, and modern ML frameworks

Responsibilities: ● Lead the development of sophisticated customer science models including churn prediction, customer segmentation frameworks, and lifetime value (LTV) models ● Translate complex business problems into analytical solutions that address marketing use cases ● Oversee data pipeline development and optimization across cloud platforms ● Mentor and develop a team of data scientists, fostering a culture of innovation and excellence ● Collaborate with cross-functional teams to implement and measure the impact of data-driven strategies ● Establish best practices for model development, validation, and deployment Qualifications: ● Minimum 6 years of experience building customer science models, particularly in churn modelling, segmentation frameworks, and LTV modelling ● Strong proficiency in Python for data manipulation, analysis, and model development ● Demonstrated experience working with cloud platforms including GCP and AWS ● Expert-level knowledge of big data technologies including Big Query and AWS Redshift ● Experience applying data science to marketing use cases and problems ● Excellent communication skills with the ability to explain complex concepts to non-technical stakeholders ● Bachelor's degree in a quantitative field (Computer Science, Statistics, Mathematics, or related) Technical Skills: ● Experience with AWS EMR Studio ● Advanced degree (MS/PhD) in a quantitative discipline ● Experience leading data science teams ● Knowledge of ML-Ops practices and tools ● Understanding of the Indian market dynamics and customer behaviour Soft Skills ● Strong analytical and problem-solving abilities ● Good communication and presentation skills ● Business acumen ● Collaborative team player ● Strong organizational skills Job Type: Full-time Pay: ₹1,800,000.00 - ₹2,200,000.00 per year Benefits: Health insurance Leave encashment Life insurance Paid sick time Paid time off Provident Fund Application Question(s): What is your Current CTC? What is your Expected CTC? Experience: Data science: 5 years (Preferred) Location: Mumbai, Maharashtra (Preferred) Work Location: In person Application Deadline: 27/07/2025 Expected Start Date: 18/08/2025

At PwC, as a member of the data and analytics team, your primary focus will be on harnessing data to uncover insights and drive strategic decision-making for clients. Through the use of advanced analytics techniques, you will assist clients in optimizing their operations and achieving their business objectives. In this role, you will be responsible for utilizing your expertise in data manipulation, visualization, and statistical modeling to tackle complex business challenges through data analysis. PwC US - Acceleration Center is currently looking for a skilled GenAI Data Scientist to join our team at the Senior Associate level. As a GenAI Data Scientist, you will be instrumental in the development and implementation of machine learning models and algorithms for our GenAI projects. The ideal candidate should possess a strong background in data science, particularly focusing on GenAI technologies, and demonstrate proficiency in statistical analysis, machine learning, data visualization, and application programming. With a minimum of 4 years of hands-on experience, the successful candidate will have the following responsibilities: - Collaborate with cross-functional teams to understand business requirements and identify opportunities for applying GenAI technologies. - Develop and implement machine learning models and algorithms for GenAI projects. - Perform data cleaning, preprocessing, and feature engineering to prepare data for analysis. - Collaborate with data engineers to ensure efficient data processing and integration into machine learning pipelines. - Validate and evaluate model performance using appropriate metrics and techniques. - Develop and deploy production-ready machine learning applications and solutions. - Utilize object-oriented programming skills to build robust and scalable software components. - Implement Kubernetes for container orchestration and deployment. - Design and build chatbots using GenAI technologies. - Communicate findings and insights to stakeholders through data visualizations, reports, and presentations. - Keep abreast of the latest advancements in GenAI technologies and propose innovative solutions to enhance data science processes. Requirements for this role include: - 3-5 years of relevant technical/technology experience, with a specific focus on GenAI projects. - Proficiency in programming languages such as Python, R, or Scala. - Strong familiarity with machine learning libraries and frameworks like TensorFlow, PyTorch, or scikit-learn. - Experience in data preprocessing, feature engineering, and data wrangling techniques. - Solid grasp of statistical analysis, hypothesis testing, and experimental design. - Knowledge of cloud computing platforms such as AWS, Azure, or Google Cloud. - Proficiency in data visualization tools and techniques. - Excellent problem-solving and analytical skills. - Strong communication and collaboration abilities. - Capability to thrive in a fast-paced and dynamic work environment. Preferred qualifications include: - Experience with object-oriented programming languages such as Java, C++, or C#. - Experience in developing and deploying machine learning applications in production environments. - Understanding of data privacy and compliance regulations. - Relevant certifications in data science or GenAI technologies. Nice to have skills: - Experience with Azure AI Search, Azure Doc Intelligence, Azure OpenAI, AWS Textract, AWS Open Search, AWS Bedrock. - Familiarity with LLM-backed agent frameworks like Autogen, Langchain, Semantic Kernel, etc. - Proficiency in chatbot design and development. Professional and educational background: - Any graduate / BE / B.Tech / MCA / M.Sc / M.E / M.Tech / Masters Degree / MBA.,

The Specialized Analytics Intermediate Analyst role at Citi is a developing professional position that involves dealing with problems independently and having the flexibility to solve complex issues. This role requires integrating specialized knowledge with industry standards and practices, understanding how the team collaborates with others to achieve objectives, and applying analytical thinking along with data analysis tools. Attention to detail is crucial for making judgments and recommendations based on factual information, and dealing with variable issues with potential business impact. The TTS Analytics team at Citi provides analytical insights to various functions within the global Treasury & Trade Services business, such as Product, Pricing, Client Experience, and Sales. The team focuses on enhancing client experience, driving acquisitions, cross-sell, and revenue growth by extracting relevant insights, identifying business opportunities, and using big data tools and AI/ML techniques to achieve data-driven business outcomes in collaboration with business and product partners. As a Specialized Analytics Intermediate Analyst (C11) in the TTS Analytics team, the role involves working on multiple analyses throughout the year to address business problems related to client experience. This includes leveraging various analytical approaches, tools, and techniques, working with multiple data sources, and providing data-driven insights to business partners and stakeholders. The role requires endless curiosity, working with large and complex data sets, evaluating, recommending, and supporting the implementation of business strategies. Key responsibilities include ideation on analytical projects, working with structured and unstructured data, documenting data requirements, data processing, cleaning, exploratory data analysis, statistical models/algorithms, data visualization techniques, and assessing risks when making business decisions. Building partnerships with cross-functional leaders is also essential. Qualifications for this role include 5-8 years of relevant experience in data science, substantial experience in resolving business problems in the financial services industry, utilizing text data for business value using NLP and LLM, developing analytical tools, applying ML, DL, and Gen AI techniques, working with complex data sources, and proficiency in Python and SQL. Skills required include strong analytical skills, logical reasoning, problem-solving ability, formulating analytical methodology, identifying trends and patterns, and manipulating data from big data environments. A Master's degree in Engineering, Technology, Statistics, Economics, or similar quantitative disciplines is preferred. Proficiency in Python, SQL, PySpark, MS Excel, and PowerPoint is essential, with experience in Tableau considered a plus. This job description provides an overview of the work performed, and additional job-related duties may be assigned as required.,

As a Data Scientist at our Mohali location, you will be an integral part of our team, dedicated to building and optimizing machine learning models for real-world applications. Your focus will range from classical approaches to advanced neural networks, working with large datasets to uncover insights and develop scalable data products. Your primary responsibilities will include designing, developing, and evaluating both supervised and unsupervised machine learning models. You will collaborate closely with data and product teams to deliver comprehensive ML solutions. Utilizing Python and SQL, you will analyze extensive datasets to generate actionable insights and continuously enhance model performance using real-world data. Moreover, maintaining detailed documentation of models, experiments, and processes will be essential to your role. To excel in this position, you should hold a Bachelors's or Masters's degree in Computer Science, Data Science, Statistics, or a related field. Proficiency in Python programming (scikit-learn, TensorFlow/PyTorch, pandas, NumPy, etc.) and SQL for data manipulation is crucial. A solid understanding of core ML techniques such as classification, regression, clustering, and dimensionality reduction is required. Additionally, experience with NLP/LLM libraries like Hugging Face, spaCy, NLTK, or OpenAI APIs, along with a strong foundation in statistics, probability, and hypothesis testing, will be beneficial. Preferred qualifications include familiarity with vector databases, embeddings, fine-tuning, or prompt engineering for LLMs. Experience with cloud services like AWS, GCP, or Azure is a plus. This is a full-time, permanent position offering benefits such as paid sick time and Provident Fund. The work schedule is during the day shift and morning shift. Candidates must be willing to commute or relocate to Chandigarh, Chandigarh, before starting work. A minimum of 3 years of experience as a Data Scientist or in data science is required, along with proficiency in English. The work location is in person at Chandigarh, Chandigarh.,

Silicon Labs is the leading innovator in low-power wireless connectivity, dedicated to building embedded technology that connects devices and enhances lives. By integrating cutting-edge technology into highly integrated SoCs, Silicon Labs equips device makers with the solutions, support, and ecosystems necessary for creating advanced edge connectivity applications. With headquarters in Austin, Texas, Silicon Labs operates in over 16 countries and is the preferred partner for innovative solutions in the smart home, industrial IoT, and smart cities markets. To learn more, visit www.silabs.com. In this role, you will lead and execute complex data science initiatives that drive high-impact business decisions. Your responsibilities will include developing, deploying, and communicating advanced analytical models. Additionally, you will offer technical guidance to junior data scientists and collaborate closely with cross-functional teams to achieve data-driven outcomes. Key Responsibilities: - Design and implement advanced statistical and machine learning models to address complex business challenges. - Lead full-cycle analytics projects, from problem definition to data exploration, model development, evaluation, and deployment. - Collaborate with stakeholders to align data science solutions with business objectives and priorities. - Provide technical mentorship to junior team members and facilitate knowledge sharing across the team. - Translate complex modeling outputs into actionable insights and present findings to senior leadership. - Stay updated on industry best practices and emerging trends in AI, machine learning, and data science tools. - Contribute to the enhancement of analytical workflows, code standards, and data governance. - Apply sound judgment to navigate ambiguous problems and propose scalable solutions. - Perform any other duties required to support the data science team and organizational goals. Required Qualification and Skills: - Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field; Master's degree preferred. - Minimum of 4 years of experience in data science, machine learning, or advanced analytics. - Advanced proficiency in Python or R, SQL, and machine learning libraries (e.g., scikit-learn, TensorFlow). - Strong understanding of statistical analysis, experimental design, and model evaluation techniques. - Excellent written and verbal communication skills, with the ability to influence both technical and non-technical stakeholders. - Demonstrated experience in leading complex data projects and driving measurable business outcomes. - Experience with cloud-based data platforms (e.g., AWS, GCP, Azure) and MLOps practices is a plus. Benefits & Perks: Joining our highly skilled and close-knit team means you will have a significant impact on the product. We emphasize good work/life balance and strive to create a welcoming and fun environment. Additionally, the benefits and perks include Equity Rewards (RSUs), Employee Stock Purchase Plan (ESPP), insurance plans with Outpatient cover, National Pension Scheme (NPS), flexible work policy, and childcare support.,

As a Data Scientist at Agentic AI | Cloud AI | AR/VR, you will play a crucial role in working on cutting-edge innovation across various verticals such as retail, healthcare, gaming, and enterprise tech. Your primary responsibility will be to build, deploy, and optimize AI/ML models with a specific focus on Agentic AI and multi-agent coordination frameworks. You will utilize Google Cloud AI and Azure AI Services for scalable training, inference, and deployment, while also applying Computer Vision techniques for object detection, image classification, and spatial tracking in AR/VR contexts. Collaboration will be key in this role, as you will work closely with product, engineering, and design teams to bring AI-driven AR/VR applications to life. Additionally, you will be responsible for utilizing Multi-Cloud Pipelines for managing end-to-end workflows in a hybrid cloud setup, and continuously experimenting with emerging AI techniques in the realm of generative agents, prompt engineering, and memory-based systems. To excel in this role, you must possess at least 3-5 years of hands-on experience in AI/ML model development and deployment. Strong Python skills are essential, along with experience in frameworks like TensorFlow, PyTorch, or OpenCV. If you are passionate about exploring the next frontier of AI and eager to contribute to groundbreaking projects in the field of Agentic AI, Cloud AI, and AR/VR, then this opportunity is perfect for you.,

As a Senior Data Scientist at CIS, you will be responsible for designing and developing machine learning algorithms and deep learning applications. With a required experience of 2.6 to 6 years, you will utilize your expertise in AI, ML, NLP, LLM, Opencv, Deep learning, Generative AI, and Computer Vision to solve complex problems with multilayered data sets. Your educational background should include a Bachelor's or Master's degree in computer science, mathematics, or a related field. Your primary objectives will include collaborating with various teams such as data scientists, administrators, data analysts, data engineers, and data architects to optimize existing machine learning libraries and frameworks. You will identify data distribution differences that could impact model performance and ensure accurate user recommendations. Additionally, staying updated with industry developments is crucial to excel in this role. Your duties and responsibilities will involve transforming data science prototypes, running machine learning tests, training and monitoring systems, and constructing optimized data pipelines. Moreover, you will consult with managers to refine machine learning objectives and extend existing libraries and frameworks. Proficiency in machine learning frameworks like Keras or PyTorch, along with strong analytical, problem-solving, and communication skills, will be essential for success in this role. This position is based in Indore, Madhya Pradesh, and follows a work from office model. You must be open to working on-site at various locations in India and globally, including the USA, UK, Australia, and the Middle East, with on-site benefits applicable. If you possess a passion for continuous learning, innovative thinking, and have a proven track record in machine learning engineering, we encourage you to apply from the listed locations for this exciting opportunity.,

🌟 Title: Data Scientist 📍 Location: Remote or Gurgaon (Gurugram) 🚀 Start Date: Immediate (need someone who can join within 30 days or less) 💰 Compensation: 35-40 LPA (100% fixed) + benefits **Benefits include: 11 National Holidays and 15 PTO days Health Insurance: 30 Lakh for employee, spouse, two dependent children, and two parents/in-laws Accident & Disability: 50 Lakh for employee Free doctor consultations 12% of basic salary contributed to PF Key Requirements Must be ready to join immediately within 15-30 days Must Haves: 5+ years of experience as a data scientist Statistics or mathematics background/degree Strong technical experience with Snowflake, Azure, Databricks, Python and SQL Plusses: Med device, healthcare, or pharmaceutical background Description: An employer is seeking an experienced Data Scientist based in Gurgaon, India to join an analytics organization for a global medical device client. This individual will support a major compliance initiative and serve as lead data scientist overseeing algorithm buildouts. They will be collaborating with the data engineering team to source and clean the data. They will also work closely with stakeholders to understand the specific requirements and will create algorithms based off of those specifications. The technology landscape includes: Databricks, Python, SQL, Snowflake and Azure.

About Improzo At Improzo, we believe in improving life by empowering our customers. Founded by seasoned Industry leaders, we are laser focused on delivering quality-led commercial analytical solutions to our clients. Our dedicated team of experts in commercial data, technology, and operations has been evolving and learning together since our inception. Here, you won't find yourself confined to a cubicle; instead, you'll be navigating open waters, collaborating with brilliant minds to shape the future. You will work with leading Life Sciences clients, seasoned leaders, and carefully chosen peers like you! People are at the heart of our success, so we have defined our CARE values framework with a lot of effort, and we use it as our guiding light in everything we do. We CARE! Customer-Centric: Client success is our success. Prioritize customer needs and outcomes in every action. Adaptive: Agile and Innovative, with a growth mindset. Pursue bold and disruptive avenues that push the boundaries of possibilities. Respect: Deep respect for our clients & colleagues. Foster a culture of collaboration and act with honesty, transparency, and ethical responsibility. Execution: Laser focused on quality-led execution; we deliver! Strive for the highest quality in our services, solutions, and customer experiences. About The Role We're looking for a Data Scientist in Pune to drive insights for pharma clients using advanced ML, Gen AI, and LLMs on complex healthcare data. You'll optimize Pharma commercial strategies (forecasting, marketing, SFE) and improve patient outcomes (journey mapping, adherence, RWE). Key Responsibilities Data Exploration & Problem Framing: Proactively engage with client/business stakeholders (e.g., Sales, Marketing, Market Access, Commercial Operations, Medical Affairs, Patient Advocacy teams) to deeply understand their challenges and strategic objectives. Explore, clean, and prepare large, complex, and sometimes messy datasets from various sources, including but not limited to: sales data, prescription data, claims data, Electronic Health Records (EHRs), patient support program data, CRM data, and real-world evidence (RWE) datasets. Translate ambiguous business problems into well-defined data science questions and develop appropriate analytical frameworks. Advanced Analytics & Model Development: Design, develop, validate, and deploy robust statistical models and machine learning algorithms (e.g., predictive models, classification, clustering, time series analysis, causal inference, natural language processing). Analyze promotional effectiveness and patient persistency/adherence. Build models for patient journey mapping, patient segmentation for personalized interventions, treatment adherence prediction, disease progression modeling, and identifying drivers of patient outcomes from RWE. Contribute to understanding patient behavior, unmet needs, and the impact of interventions on patient health. Generative AI & LLM Solutions: Extract insights from unstructured text data (e.g., clinical notes, scientific literature, sales call transcripts, patient forum discussions). Summarize complex medical or commercial documents. Automate content generation for internal use (e.g., draft reports, competitive intelligence summaries). Enhance data augmentation or synthetic data generation for model training. Develop intelligent search or Q&A systems for commercial or medical inquiries. Apply techniques like prompt engineering, fine-tuning of LLMs, and retrieval-augmented generation (RAG). Insight Generation & Storytelling: Transform complex analytical findings into clear, concise, and compelling narratives and actionable recommendations for both technical and non-technical audiences. Create impactful data visualizations, dashboards, and presentations using tools like Tableau, Power BI, or Python/R/Alteryx visualization libraries. Collaboration & Project Lifecycle Management: Collaborate effectively with cross-functional teams including product managers, data engineers, software developers, and other data scientists. Support the entire data science lifecycle, from conceptualization and data acquisition to model development, deployment (MLOps), and ongoing monitoring in production environments. Qualifications Master's or Ph.D. in Data Science, Statistics, Computer Science, Applied Mathematics, Economics, Bioinformatics, Epidemiology, or a related quantitative field. 4+ years progressive experience as a Data Scientist, with demonstrated success in applying advanced analytics to solve business problems, preferably within the healthcare, pharmaceutical, or life sciences industry using pharma dataset extensively (e.g. sales data from Iqvia, Symphony, Komodo, etc., CRM data from Veeva, OCE, etc.) Must-have: Solid understanding of pharmaceutical commercial operations (e.g., sales force effectiveness, marketing, market access, CRM). Must-have: Experience working with real-world patient data (e.g., claims, EHR, pharmacy data, patient registries) and understanding of patient journeys. Strong programming skills in Python (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) and/or R for data manipulation, statistical analysis, and machine learning. Expertise in SQL for data extraction, manipulation, and analysis from relational databases. Experience with machine learning frameworks and libraries. Proficiency in data visualization tools (e.g., Tableau, Power BI) and/or visualization libraries (e.g., Matplotlib, Seaborn, Plotly). Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is a significant advantage. Specific experience with Natural Language Processing (NLP) techniques, Generative AI models (e.g., Transformers, diffusion models), Large Language Models (LLMs), and prompt engineering is highly desirable. Experience with fine-tuning LLMs, working with models from Hugging Face, or utilizing major LLM APIs (e.g., OpenAI, Anthropic, Google). Experience with MLOps practices and tools (e.g., MLflow, Kubeflow, Docker, Kubernetes). Knowledge of pharmaceutical or biotech industry regulations and compliance requirements like HIPAA, CCPA, SOC, etc. Excellent communication, presentation, and interpersonal skills, with the ability to effectively interact with both technical and non-technical stakeholders at all levels. Attention to details, biased for quality and client centricity. Ability to work independently and as part of a cross-functional team. Strong leadership, mentoring, and coaching skills. Benefits Competitive salary and benefits package. Opportunity to work on cutting-edge Analytics projects, transforming the life sciences industry. Collaborative and supportive work environment. Opportunities for professional development and growth.,

As a Data Scientist Associate Manager in the SC&O - S&P I&F Decision Science team at Accenture, you will play a crucial role in leading the design, development, and implementation of AI/ML-powered procurement and analytics solutions. Your responsibilities will involve collaborating with cross-functional teams to create platforms that drive cost-saving opportunities, improve supplier management, and provide valuable business intelligence to our enterprise clients. Your primary roles and responsibilities will include analyzing procurement spend through various techniques to classify it into a custom taxonomy within Accenture's spend analytics tool. You will also be involved in collecting data from different sources during calls with stakeholders, leading data quality assessments, identifying gaps, and creating summaries as per database requirements. Additionally, you will assist in data scrubbing by developing data cleansing rules and incorporating data clarifications provided by data source owners. To excel in this role, you should have hands-on experience in Python with threading limitations and multi-process architecture. Proficiency in MySQL to integrate multiple data sources is also essential. Furthermore, you should possess strong coding skills in languages such as R, SQL, JavaScript, Java, CSS, and C++. Familiarity with statistical and data mining techniques like GLM/Regression, Random Forest, Boosting, Trees, text mining, and social network analysis is required. Experience with advanced machine learning algorithms and statistics, including regression, simulation, scenario analysis, modeling, clustering, decision trees, and neural networks, will be beneficial. In addition to technical skills, we are looking for candidates with 6-12 years of relevant experience in data modeling, ETL automation, AI/ML, and front-end design. You should have extensive experience in handling and classifying spend data using AI/ML techniques. Strong leadership, team management skills, proficiency in MS Excel and MS PowerPoint, high attention to detail, accuracy, and innovative problem-solving abilities are also desired. Preferred experience in supply chain management, particularly in applying AI/ML techniques to optimize operations, will be an advantage. Join us at Accenture, where we are committed to driving innovation and delivering exceptional solutions to our clients.,

You are looking for a highly experienced and versatile Data Scientist with a minimum of 5 years of experience, specializing in Generative AI. In this dual-role position, you will be involved in advanced data science and AI projects, specifically focusing on applications of Generative AI. Additionally, you will play a crucial role in training programs, workshops, and knowledge-sharing sessions. The ideal candidate for this role will possess strong hands-on expertise in Generative AI and a proven ability to teach and mentor others. You should be comfortable both building and deploying AI models and designing engaging educational experiences. Your responsibilities will include working on cutting-edge projects, contributing to educational initiatives, and sharing your knowledge with others in the field.,

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.)

As a Data Scientist at our organization, you will be applying your expertise in artificial intelligence by utilizing machine learning, data mining, and information retrieval to design, prototype, and construct advanced analytics engines and services for next-generation applications. Your role will involve collaborating with business partners to define technical problem statements and hypotheses, developing analytical models that align with business decisions, and integrating them into data products or tools with a cross-functional team. Your responsibilities will include: - Collaborating with business partners to devise innovative solutions using cutting-edge techniques and tools - Effectively communicating the analytics approach to address objectives - Advocating for data-driven decision-making and emphasizing the importance of problem-solving methodologies - Leading analytic approaches and integrating them into applications with data engineers, business leads, analysts, and developers - Creating scalable, dynamic, and interpretable models for analytic data products - Engineering features by leveraging internal and external data sources - Sharing your passion for Data Science within the enterprise community and contributing to the development of processes, frameworks, and standards - Collaborating, coaching, and learning with a team of experienced Data Scientists - Staying updated with the latest trends and ideas in the field through conferences and community engagements Desired Skills: - Bachelor's degree required, MS or PhD preferred - Bachelor's in Data Science, Computer Science, Engineering, Statistics, and 5+ years of experience OR Graduate degree in a quantitative discipline with demonstrated Data Science skills and 2+ years of work experience - Proficiency in Python for working with DataFrames - Proficiency in writing complex SQL queries - Experience with Machine Learning for clustering, classification, regression, anomaly detection, simulation, and optimization on large datasets - Ability to merge and transform disparate internal and external data sets to create new features - Experience with Big Data technologies such as Spark, Cloud AI platforms, and containerization - Experience in supporting deployment, monitoring, maintenance, and enhancement of models - Familiarity with data visualization tools like Tableau, Plotly, etc. Digital Experience/Individual Skills: - Excellent communication and collaboration skills to understand business needs and deliver solutions - Proven ability to prioritize tasks and manage time effectively to achieve outstanding results - Efficient learning capability to tackle new business domains and problems - Critical thinking and skepticism regarding the validity and biases of data - Intellectual curiosity and humility to leverage expertise and collaborate effectively - Strong organizational skills with attention to detail and accuracy - Ability to mentor, coach, and work closely with business partners, analysts, and team members,

As a Data Scientist specializing in Natural Language Processing (NLP) and Large Language Models (LLMs), you will play a crucial role in designing, fine-tuning, and deploying cutting-edge open-source and API-based LLMs to address real-world challenges. Your primary focus will be on creating robust GenAI pipelines, innovative internal tools, and engaging client-facing applications. You will have the exciting opportunity to work at the forefront of AI technology, contributing to the advancement of intelligent systems through the utilization of Retrieval-Augmented Generation (RAG) frameworks, vector databases, and real-time inference APIs. Your responsibilities will include fine-tuning and optimizing open-source LLMs for specific business domains, constructing and managing RAG pipelines using tools like LangChain, FAISS, and ChromaDB, as well as developing LLM-powered APIs for diverse applications such as chat, Q&A, summarization, and classification. Additionally, you will be tasked with designing effective prompt templates and implementing chaining strategies to enhance LLM performance across various contexts. To excel in this role, you should possess a strong foundation in NLP fundamentals and deep learning techniques for text data, hands-on experience with LLM frameworks like Hugging Face Transformers or OpenAI APIs, and familiarity with tools such as LangChain, FAISS, and ChromaDB. Proficiency in developing REST APIs to support ML models, expertise in Python programming with knowledge of libraries like PyTorch or TensorFlow, and a solid grasp of data structures, embedding techniques, and vector search systems are also essential. Preferred qualifications include prior experience in LLM fine-tuning and evaluation, exposure to cloud-based ML deployment (AWS, GCP, Azure), and a background in information retrieval, question answering, or semantic search. If you are passionate about generative AI and eager to contribute to the latest developments in NLP and LLMs, we are excited to connect with you.,

As a Staff Data Scientist at PhysicsWallah (PW), you will play a pivotal role in driving innovation in Generative AI and advanced Machine Learning (ML) to enhance personalized and scalable learning outcomes for students across Bharat. With your expertise and experience in Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Reinforcement Learning, and model fine-tuning, you will lead the design and development of cutting-edge AI solutions that power intelligent content generation, adaptive learning, and personalized experiences for millions of learners. Your responsibilities will include collaborating with cross-functional teams to create next-gen AI solutions using LLMs, RAG, and RL techniques. You will fine-tune and customize models for PW-specific education use cases, architect scalable pipelines for model training and deployment, integrate models into real-world applications, conduct rigorous experimentation and testing to enhance model performance, and stay updated with the latest trends in AI frameworks and research. To excel in this role, you will need a minimum of 8 years of hands-on experience in Data Science/ML, with a recent focus on GenAI, LLMs, and deep learning. Proficiency in RAG architectures, transformer-based models, Reinforcement Learning, Python, ML frameworks such as PyTorch and TensorFlow, cloud platforms like AWS/GCP, and MLOps for scalable AI model deployment is essential. Your track record of shipping ML models into production environments, strong communication skills, and ability to work in cross-functional settings will be crucial. If you have published papers, patents, or contributions to open-source GenAI projects, experience in edtech or adaptive learning platforms, exposure to vector databases and semantic search systems, and are driven by a passion to make quality education accessible to all, then joining PW will provide you with an opportunity to work on cutting-edge GenAI problems with a large-scale real-world impact in a collaborative and fast-paced environment that offers immense learning opportunities. Shape the future of education with GenAI at PhysicsWallah by applying now and contributing to our mission of democratizing learning and transforming the way students access affordable, high-quality education.,

As a Data Scientist specializing in Generative AI & ML Engineering, your primary responsibility will be to research and develop AI algorithms and models. You will be tasked with analyzing data, constructing predictive models, and employing machine learning techniques to address intricate problems. Your proficiency should encompass a range of skills including proficiency in languages/frameworks such as Fast API and Azure UI Search API (React), as well as expertise in databases and ETL tools like Cosmos DB and Data Factory Data Bricks. In addition, you should have a strong command of Python and R, familiarity with Azure Cloud Basics and Gitlab Pipeline, and experience in deploying AI solutions end-to-end. In addition to your proficient skills, you are expected to possess expert-level knowledge in areas such as Azure Open AI, Open AI GPT Family of models, and Azure Storage Account. Your expertise should extend to machine learning algorithms, deep learning frameworks like TensorFlow and PyTorch, and a solid foundation in mathematics including linear algebra, calculus, probability, and statistics. Furthermore, your role will require proficiency in data analysis tools such as Pandas, NumPy, and SQL, as well as strong statistical and probabilistic modeling skills. Experience with data visualization tools like Matplotlib, Seaborn, and Tableau, along with knowledge of big data technologies like Spark and Hive, will be essential for success in this position. Overall, your experience in AI-driven analytics and decision-making systems, coupled with your ability to develop and deploy AI frameworks and models, will be critical in delivering effective solutions to complex challenges.,

You will be responsible for developing new features and models as part of the core product through applied research. Your main task will be to understand, apply, and extend state-of-the-art NLP research to enhance customer experience. Collaboration with engineering, product, and customers is crucial to scientifically frame business problems and develop underlying AI models. Your role will also involve designing, implementing, testing, deploying, and maintaining innovative data and machine learning solutions to drive business growth. Additionally, you will be expected to think creatively to identify new opportunities and contribute to high-quality publications or patents. To be successful in this role, you should have at least 1 year of professional experience and hold a Bachelor's degree in Computer Science or a related field from a reputable institution. Your expertise should include practical experience in areas such as machine learning, deep learning, NLP, recommendation systems, and information retrieval. You must have experience in applying machine learning to solve complex business problems from scratch. Proficiency in Python and a deep learning framework like PyTorch or TensorFlow is essential. Furthermore, you should stay updated on the latest research trends in the NLP community. Strong verbal and written communication skills, as well as effective presentation abilities, are also important for this position.,

As a Data Scientist at our groundbreaking digital real estate platform in Dubai, you will play a pivotal role in transforming vast datasets into predictive models and insights that will define our competitive edge. You will have the opportunity to work on challenging problems in the PropTech space and directly influence the user experience and business strategy. Your responsibilities will include designing, training, and deploying machine learning models for the "TruValue UAE" Automated Valuation Model (AVM) to predict property values. Additionally, you will develop a personalization and recommendation engine, analyze complex datasets to identify business insights and user behavior patterns, and build predictive models for forecasting metrics such as user churn and neighborhood demand dynamics. Collaboration will be key in this role, as you will work closely with backend engineers, product managers, and business stakeholders to leverage data assets and drive personalization, market intelligence, and strategic decision-making across the platform. You will also contribute to the design and development of big data infrastructure and MLOps pipelines. To be successful in this role, you should have 3-5+ years of hands-on experience as a Data Scientist, with a proven track record of building and deploying machine learning models in a production environment. A Masters degree or PhD in a quantitative field is required, along with expert proficiency in Python and its data science ecosystem. Strong practical knowledge of various machine learning techniques, advanced SQL skills, and experience with data visualization tools are also essential. Preferred qualifications include experience in the PropTech or FinTech sectors, direct experience building Automated Valuation Models (AVMs), familiarity with cloud-based data platforms and ML services, and experience with MLOps principles and tools. Additionally, experience with time-series analysis, forecasting, and Natural Language Processing (NLP) techniques would be beneficial for this role.,

As a member of the Economic Sanctions and Screening team, your primary responsibility will be to develop, enhance, and validate sanctions screening frameworks and models. You will play a crucial role in strengthening the firm's financial crime risk posture by ensuring that our screening capabilities are in line with global regulatory expectations and industry best practices. Your main duties will include evaluating existing sanctions models and proposing enhancements based on regulatory guidance and operational feedback. You will conduct regular reviews of sanctions screening models to ensure compliance with OFAC, EU, UN, and other regulatory standards. Additionally, you will support tuning and threshold analysis for match scoring, analyze screening outcomes to identify gaps and trends, and prepare comprehensive model documentation and validation reports. You will collaborate with compliance officers, technology teams, and business stakeholders to gather requirements, explain model logic, and support audits and regulatory reviews. Your expertise in sanctions screening framework development, tuning, and validation will be crucial, along with your familiarity with leading screening platforms and global sanctions regimes. Experience in integrating sanctions screening models with broader AML/CFT frameworks and exposure to AI/ML techniques will be beneficial for this role. To excel in this position, you should possess strong programming and scripting skills, experience in data modeling and large-scale dataset analysis, and the ability to conduct root cause analysis on alert quality issues. Excellent written and verbal communication skills are essential, allowing you to explain technical models to non-technical stakeholders and present recommendations clearly. This role requires a Bachelor's or Master's Degree and 2-10 years of relevant experience. The base location for this position is Chennai, and it may involve working at client locations as well.,

As a Data Scientist at our company located in Gurgaon, you will be an integral part of the Flight Safety team. Your primary responsibility will be to leverage advanced analytics and machine learning techniques to enhance safety-related decisions and optimize operational processes. By working extensively with time-series and multivariate data, you will identify anomalies, uncover patterns, and develop predictive models that are essential for improving flight safety and risk mitigation. Your key responsibilities will include performing exploratory data analysis to extract valuable insights from complex datasets, applying advanced anomaly detection techniques to identify safety risks, and developing machine learning models like ANN, RNN, and CNN for predictive safety analytics. You will also be involved in utilizing big data analytics tools, designing custom algorithms, and writing efficient code using Python and MATLAB for data processing and modeling. To qualify for this role, you should possess a Bachelor's degree in Engineering with a specialization in Data Science or a related field, along with certification in Data Science. Additionally, a minimum of 6 years of hands-on experience in data science, machine learning, or analytics roles is required, with a proven track record in developing AI/ML models, especially in anomaly detection and predictive analytics. Your key skills should include expertise in Data Analysis, Anomaly Detection, Machine Learning & Deep Learning, Big Data Analytics, Python, MATLAB, Custom Algorithm Design, and Data Collection & Preprocessing. By joining our team, you will have the opportunity to contribute to cutting-edge data science projects in aviation safety, work in a collaborative environment, and be part of a team focused on predictive safety and operational excellence.,

You should have a minimum of 7+ years of professional experience in business analysis, requirement gathering, and solution workflow design for AI/ML/Analytics projects. Your programming skills should include proficiency in Python and SQL. You must have a strong understanding of ML libraries and applications such as Time series analysis, Neural Networks, SVMs, boosting methods, with implementation experience in Python. Experience with deep learning techniques is required. Excellent communication skills are essential to collaborate effectively with business SMEs and UX teams. You should also have intermediate knowledge of DevOps practices, including CICD, Automation, Build Management, and Versioning. Understanding of Cloud services like Microsoft Azure, GCP, or AWS is necessary. Experience in LLM/Gen AI Prompt Engineering, RAG, and parameter hyper-tuning, as well as Pyspark, will be advantageous. Your responsibilities will include strong problem-solving, critical, and analytical thinking skills with hands-on coding expertise. Proficiency in data fetch, data merge, data wrangling, exploratory data analysis, and feature engineering is required. You will need practical knowledge of machine learning algorithms, drive client engagement, and align the development team with a technical roadmap. Implementing analytical requirements, defining and analyzing system problems, designing, and testing standards and solutions are part of your responsibilities. Furthermore, you will design new analytical solutions, study business functions, and determine operational objectives. Recommending controls, defining project requirements, monitoring project progress, maintaining system protocols, providing user references, maintaining user confidence, preparing technical reports, and staying updated with professional and technical knowledge are also essential tasks. Skills required for this role include Artificial Intelligence, Machine Learning, and AWS. About UST: UST is a global digital transformation solutions provider that partners with clients to make a real impact through transformation. With over 30,000 employees in 30 countries, UST embeds innovation and agility into their clients" organizations, touching billions of lives in the process.,

The Data Science Consultant position is a challenging opportunity for someone with 4-9 years of experience. In this role, you will be responsible for driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Your main responsibilities will include providing strategic advisory services, conducting market research, and developing data-driven recommendations to enhance business performance. We are looking for a skilled and experienced Data Scientist to join our Hi-Tech practice. The ideal candidate should have hands-on experience in data science within industries such as semiconductors, enterprise technology, consumer technology, and medical technology. As a Data Scientist, you will be tasked with developing AI models and applying GenAI techniques in various areas such as marketing & consumer analytics, predictive asset maintenance, production optimization, supply chain, sales & channel partner program analytics, and connected products. In this role, you will collaborate with cross-functional teams to gather requirements, design solutions, and deploy models into production environments. You will also be responsible for developing and implementing GenAI based solutions through contextual prompt engineering and prompt tuning, and supporting solution architects on the design of GenAI-powered solutions/assets. Utilizing your expertise in PLM/ERP/CRM/Contact Center systems to integrate data sources and ensure seamless operation of AI solutions will be a key part of your responsibilities. You will design and develop machine learning models using Python, with proficiency in NLP and Computer Vision techniques. Additionally, you will architect functional solutions and provide technical guidance to enhance the performance and scalability of AI systems. Experience with cloud platforms, particularly Azure/GCP, and familiarity with AWS will be beneficial in this role. It is essential to stay updated on emerging technologies and industry trends to contribute to continuous improvement initiatives within the organization. If you are seeking a challenging role that allows you to apply your data science skills and industry knowledge, this position is ideal for you.,

You will be part of a dynamic team of researchers, data scientists, and developers as an AI/ML Developer. Your primary responsibility will involve working on cutting-edge AI solutions in various industries like commerce, agriculture, insurance, financial markets, and procurement. Your focus will be on developing and optimizing machine learning and generative AI models to address real-world challenges effectively. Your key responsibilities will include developing and optimizing ML, NLP, Deep Learning, and Generative AI models. You will be required to research and implement advanced algorithms for supervised and unsupervised learning. Additionally, you will work with large-scale datasets in distributed environments and understand business processes to select and apply the most suitable ML approaches. Ensuring the scalability and performance of ML solutions will also be a crucial part of your role. Collaboration with cross-functional teams, such as product owners, designers, and developers, will be essential. You will be expected to solve intricate data integration and deployment challenges while effectively communicating results using data visualization. Working in global teams across different time zones will also be part of your job scope. To be successful in this role, you should possess strong experience in Machine Learning, Deep Learning, NLP, and Generative AI. Hands-on expertise in frameworks like TensorFlow, PyTorch, or Hugging Face Transformers is required. Experience with LLMs, model fine-tuning, and prompt engineering will be beneficial. Proficiency in Python, R, or Scala for ML development is necessary, along with knowledge of cloud-based ML platforms such as AWS, Azure, and GCP. Experience with big data processing using tools like Spark, Hadoop, or Dask is also preferred. Your ability to scale ML models from prototypes to production and your strong analytical and problem-solving skills will be highly valued. If you are enthusiastic about pushing the boundaries of ML and GenAI, we are excited to hear from you!,