1452 Data Scientist Jobs - Page 30

About this Opportunity It will be practically impossible for human brains to understand how to run and optimize next generation of wireless networks, i.e., 5G network with distributed edge compute, that will drive economic and social transformation for all aspects of society. Machine Learning (ML) and other Artificial Intelligence (AI) technologies will be vital for us to handle this opportunity. We are setting up a AI Accelerator Hub in India, to fast-track our strategy execution. Machine Intelligence, the combination of Machine Learning and other Artificial Intelligence technologies is what Ericsson uses to drive thought leadership to automate and transform Ericsson offerings and operations. MI is also a key competence for to enable new and emerging business. This includes development of models, frameworks and infrastructure where we in our advancements push the technology frontiers. We engage in both academic and industry collaborations and drive the digitalization of Ericsson and the Industry by developing state of the art solutions that simplify and automate processes in our products and services and build new value through data insights. Ericsson is now looking for Senior Data Scientists to significantly expand its global team for AI acceleration for our group in Bangalore . Do you have in depth understanding of Machine Learning and AI technologies? Do you want to apply and extend those skills to solve real complex problems with high societal impact; going beyond ML/AI for consumption and advertising? Then, you do want to join Ericsson’s global team of Engineers/Scientists pushing the technology frontiers to automate, simplify and add new value through large and complex data. What you will do As a Senior Data Scientist , you will need to have deep knowledge of data science and Machine Learning tools and technologies backed with strong programming skills to implement them. Your knowledge and experience in Data Science methodologies will be applied to solve challenging real-world problems as part of a highly dynamic and global team. You will work in a highly collaborative environment where you communicate and plan tasks and ideas. You will be working on high impact initiatives with other DS in Machine Intelligence to drive growth and economic profitability for Ericsson and its customers by accelerating current Ericsson offerings. Your contribution will also help to create new offerings in the areas of MI driven 4G and 5G network, distributed cloud, IoT and other emerging businesses. Key Responsibilities: Lead AI/ML feature/capability in a certain functional area of product/business Define the business metrics of success for AI/ML projects and translate them into model metrics Lead end-to-end development and deployment of Generative AI solutions (e.g., LLMs, diffusion models, RAG pipelines) for enterprise-scale use cases using MLOps platforms like Amazon Sagemaker, Bedrock. Design and implement architectures for vector search, embedding models, and Retrieval-Augmented Generation (RAG) systems using modern frameworks and tools (e.g., FAISS, Pinecone, LangChain). Fine-tune and evaluate large language models (LLMs) for domain-specific tasks such as text summarization, Q&A, content generation, and chat interfaces. Collaborate with product, engineering, and business stakeholders to translate vague problems into concrete Generative AI use cases with measurable impact. Develop secure, scalable, and production-grade AI pipelines for both batch and real-time generative use cases. Ensure ethical and responsible AI practices, including bias detection, explain ability, and content safety in generative outputs. Mentor junior team members in GenAI frameworks, best practices, and model performance tuning. Stay current with research and industry trends in Generative AI, LLMs, prompt engineering, and multimodal AI, applying cutting-edge techniques to business problems. Contribute to internal AI governance, tooling frameworks, and reusable components for accelerating GenAI development across teams. Work with huge datasets including petabytes of 4G/5G-networks, IoT and exogenous data Propose/select/test predictive models, recommendation engines, anomaly detection systems, statistical models, deep learning, computer vision, text mining, reinforcement learning and other ML systems Define the visualization and dashboarding requirements working closely with the business stakeholders Build proof-of-concepts for business opportunities using AI/ML and present them to business Lead functional and technical analysis within Ericsson businesses to define AI/ML driven business opportunities and build appropriate solutions Work with multiple data sources (internal/external as well as structured/unstructured) and apply the right feature engineering to AI based models Lead studies and creative usage of new and/or existing data sources. Work with Data Architects to leverage existing data models and build new ones as needed. What you will bring Minimum Experience Required - 7 years Job Location - Bangalore Bachelors/Masters/Ph.D. in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Electrical Engineering or related disciplines from any of the reputed institutes. First Class, preferably with Distinction. Applied experience: 3+ years of ML and/or AI production level experience Strong Programming skills (R/Python) with proficiency in at least one Proven ability of leading AI/ML projects end-to-end with complete ownership Able to map the business metrics of success for AI/ML projects to model metrics Strong grounding in mathematics, probability, statistics needed for data analysis and experiments Strong hands-on experience with exploratory data analysis and visualization techniques Strong and hands-on in the use of current Machine Learning frameworks such as Python, R, H2O, Keras, TensorFlow, Spark ML etc. Ability to implement new algorithms and methodologies from leading open source initiatives and research papers Ability to work with semi-structured and unstructured data sets for AI/ML models Strong understanding of building AI models using Deep Neural Networks Strong hands-on experience in implementing a variety of Machine Learning techniques including model selection, validation, regularization and hyperparameter tuning Good Knowledge of using ensembles and stacking techniques to solve complex ML problems Hands on working in Big Data technologies such as Hadoop, Cassandra etc. Able to source data from multiple data sources and combine them appropriately to build ML models. Preferred Qualifications: Good communication skills in written and spoken English Creativity and ability to formulate problems and solve them independently Certifying MI MOOCS, a plus Applications/Domain-knowledge in Telecommunication and/or IoT, a plus. Experience with data visualization and dashboard creation is a plus Knowledge of Cognitive models is a plus Ability to work independently with high energy, enthusiasm and persistence Experience in partnering and collaborative co-creation, i.e., working with complex multiple stakeholder business units, global customers, technology and other ecosystem partners in a multi-culture, global matrix organization with sensitivity and persistence. Show more Show less

Job Summary We are seeking a skilled Data Scientist to join Digital Finance-Disruptive Tec - Global Finance Services Division. The incumbent would be Performing analytical tasks and initiatives on huge amount of data to support data-driven business decision and development. The preference for this role is to be based out of Whitefield Office, Bangalore, India What you will do Caterpillar uses quantitative methods such as business simulations, data mining, and advanced statistical techniques to solve problems. The Data Scientist contributes to this mission by leveraging his or her quantitative analysis, data management, modeling and/or data visualization skills as an individual contributor to project teams tasked with solving business problems. Caterpillar uses quantitative techniques to solve problems. Typical problems include maximizing Operating Profit After Capital Charge through improvements in Inventory Costs, Material Costs, New Product Introduction costs, etc.; determining the principal drivers of health care costs; recommending the optimal supplier for a part; identifying sales, rental, and service opportunities for Caterpillar dealers; and developing simulation/optimization capabilities to model a new facility or product feature. In addition, analytics experts also provide assistance to high-profile enterprise-wide projects such as the Engineered Value Chain. The principal responsibility of the Data Scientist is to be an independent contributor to multi-person analytic teams. This position has a depth of knowledge in quantitative analytic methods, data management, and or associated digital technologies suitable to handle all but the most complex issues. This position is expected to be familiar with the company s processes, products, and organization, as well as its customers, competitors, and stakeholders. Work is typically directed by a direct supervisor, project or team lead through a review of results. Decisions on routine, medium risk issues that may affect the project team, suppliers or internal customers may be made by this position. Challenges include meeting expectations in delivering results, learning to refine solutions to better fit complex situations, making timely decisions, and communicating effectively with all project stakeholders. This position demonstrates thorough knowledge of statistical approaches, data management techniques, and/or related digital technologies, and the ability to handle complex issues. The incumbent demonstrates very good communication and presentation skills, being able to explain conclusions to customers who have limited knowledge and experience with quantitative analytical methods. As an individual contributor on teams, they should also exhibit strong initiative and teamwork skills, and a comprehensive knowledge of Caterpillar Inc., its products and services; its internal systems, processes, and procedures; and the external environment in which it competes. The responsibilities of the data scientist would involve design, develop, and deploying of predictive models and machine learning algorithms to support business decision-making. Lead data gathering, preprocessing, and transformation efforts from structured and unstructured sources. Collaborate with cross-functional teams to define analytical requirements and deliver insights through dashboards and reports. Develop and maintain scalable data pipelines using tools such as SQL, Snowflake, and Python. Apply Natural Language Processing (NLP), time-series analysis, and anomaly detection techniques to real-world datasets. Contribute to the development of internal Python packages and reusable analytics components What you will have Bachelor s degree, preferably in engineering, finance, statistics, economics, mathematics, or a similar field with quantitative coursework, and 4-5 years of professional experience utilizing quantitative analysis OR Master s degree and 2-3 years of experience OR PhD in one of the associated fields. Top Candidate Will Also Have: 2-4 years experience in manipulating data sets and building statistical models Ability to work on increasingly more complex assignments Strong problem-solving skills with an emphasis on product development. Knowledge of the statistical tools, processes, and practices to describe business results in measurable scales; ability to use statistical tools and processes to assist in making business decisions. Knowledge of principles, technologies and algorithms of machine learning (Supervised/unsupervised, clustering, decision tree learning, artificial neural networks, etc.); ability to develop, implement and deliver related systems, products and services. Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets Experience working with and creating data architectures Excellent written and verbal communication skills for coordinating across teams A drive to learn and master new technologies and techniques Experience using web services: AWS services, Snowflake, Spark Must be comfortable working in MS Office, and industry standard statistics and data visualization Packages - Power BI/Tableau Additional Information: This position requires the selected candidate to work Full -Time in the Whitefield Bangalore, Karnataka office. This position requires candidate to work a 5-day -a -week schedule in the office Domestic Relocation is available Less than 10% travel is expected Skills desired: Business Statistics: Knowledge of the statistical tools, processes, and practices to describe business results in measurable scales; ability to use statistical tools and processes to assist in making business decisions. Level Working Knowledge: Explains the basic decision process associated with specific statistics. Works with basic statistical functions on a spreadsheet or a calculator. Explains reasons for common statistical errors, misinterpretations, and misrepresentations. Describes characteristics of sample size, normal distributions, and standard deviation. Generates and interprets basic statistical data. Accuracy and Attention to Detail : Understanding the necessity and value of accuracy; ability to complete tasks with high levels of precision. Level Extensive Experience: Evaluates and makes contributions to best practices. Processes large quantities of detailed information with high levels of accuracy. Productively balances speed and accuracy. Employs techniques for motivating personnel to meet or exceed accuracy goals. Implements a variety of cross-checking approaches and mechanisms. Demonstrates expertise in quality assurance tools, techniques, and standards. Analytical Thinking : Knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems. Level Working Knowledge: Approaches a situation or problem by defining the problem or issue and determining its significance. Makes a systematic comparison of two or more alternative solutions. Uses flow charts, Pareto charts, fish diagrams, etc. to disclose meaningful data patterns. Identifies the major forces, events and people impacting and impacted by the situation at hand. Uses logic and intuition to make inferences about the meaning of the data and arrive at conclusions. Machine Learning: Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services. Level Working Knowledge: Completes specific tasks and initiatives utilizing machine learning technologies, such as search engine optimization. Utilizes specific tools and techniques to process descriptive and inferential statistics. Applies specific computing languages and tools in machine learning, such as R and Python. Explores to use machine learning in one own areas to make business improvements. Conducts data mining and cleaning initiatives. Programming Languages: Knowledge of basic concepts and capabilities of programming; ability to use tools, techniques and platforms in order to write and modify programming languages. Level Working Knowledge: Participates in the implementation and support of specialized programming languages. Conducts basic reviews on writing a specific programming language within a specific platform. Assists with the design and development of specialized programming languages. Follows an organization's standards, policies and guidelines for structured programming specifications. Diagnoses and reports minor or routine programming language problems. Query and Database Access Tools : Knowledge of data management systems; ability to use, support and access facilities for searching, extracting and formatting data for further use. Level Working Knowledge: Defines, creates and tests simple queries by using associated command language in a specific environment. Applies appropriate query tools used to connect to the data warehouse. Obtains and analyzes query access path information and query results. Employs tested query statements to retrieve, insert, update and delete information. Works with advanced features and functions including sorting, filtering and making simple calculations. Requirements Analysis: Knowledge of tools, methods, and techniques of requirement analysis; ability to elicit, analyze and record required business functionality and non-functionality requirements to ensure the success of a system or software development project. Level Working Knowledge: Follows policies, practices and standards for determining functional and informational requirements. Confirms deliverables associated with requirements analysis. Communicates with customers and users to elicit and gather client requirements. Participates in the preparation of detailed documentation and requirements. Utilizes specific organizational methods, tools and techniques for requirements analysis.\

Job Description Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications. Applies scientific methods to analyse and solve software engineering problems. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities. The software engineer collaborates and acts as team player with other software engineers and stakeholders. Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. Job Description - Grade Specific Is highly respected, experienced and trusted. Masters all phases of the software development lifecycle and applies innovation and industrialization. Shows a clear dedication and commitment to business objectives and responsibilities and to the group as a whole. Operates with no supervision in highly complex environments and takes responsibility for a substantial aspect of Capgemini’s activity. Is able to manage difficult and complex situations calmly and professionally. Considers ‘the bigger picture’ when making decisions and demonstrates a clear understanding of commercial and negotiating principles in less-easy situations. Focuses on developing long term partnerships with clients. Demonstrates leadership that balances business, technical and people objectives. Plays a significant part in the recruitment and development of people. Skills (competencies) Verbal Communication Show more Show less

You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world. Job Description: Data Scientist Are you ready to shine? At Sun Life, we empower you to be your most brilliant self. Who we are? Sun Life is a leading financial services company with history of 150+ years that helps our clients achieve lifetime financial security and live healthier lives. We serve millions in Canada, the U.S., Asia, the U.K., and other parts of the world. We have a network of Sun Life advisors, third-party partners, and other distributors. Through them, we’re helping set our clients free to live their lives their way, from now through retirement. To do this, we offer a broad range of protection and wealth products and services to individuals, businesses, and institutions, including: Insurance. Life, health, wellness, disability, critical illness, stop-loss, and long-term care insurance. Investments. Mutual funds, segregated funds, annuities, and guaranteed investment products Advice. Financial planning and retirement planning services Asset management. Pooled funds, institutional portfolios, and pension funds Sun Life is a leading financial services company that helps our clients achieve lifetime financial security and live healthier lives, with strong insurance, asset management, investments, and financial advice portfolios. At Sun Life, our asset management business draws on the talent and experience of professionals from around the globe. Sun Life Global Solutions (SLGS) Established in the Philippines in 1991 and in India in 2006, Sun Life Global Solutions, (formerly Asia Service Centers), a microcosm of Sun Life, is poised to harness the regions’ potential in a significant way - from India and the Philippines to the world. We are architecting and executing a BOLDER vision: being a Digital and Innovation Hub, shaping the Business, driving Transformation and superior Client experience by providing expert Technology, Business and Knowledge Services and advanced Solutions. We help our clients achieve lifetime financial security and live healthier lives – our core purpose and mission. We are constantly expanding our strength in Information technology and are looking for fresh talents who can bring ideas and values aligning with our Digital strategy. Our Client Impact strategy is motivated by the need to create an inclusive culture, empowered by highly engaged people. We are entering a new world that focuses on doing purpose driven work. The kind that fills your day with excitement and determination, because when you love what you do, it never feels like work. We want to create an environment where you feel empowered to act and are surrounded by people who challenge you, support you and inspire you to become the best version of yourself. As an employer, we not only want to attract top talent, but we want you to have the best Sun Life Experience. We strive to Shine Together, Make Life Brighter & Shape the Future! Responsibility/Skillsets (Must) Understand and design analytical solutions to Business problems leveraging Data science. Should be able to understand and gather the requirement from Stakeholders. Propose and execute the solution and present the deliverables to Stakeholders. Manage and optimize the deliverables. Mentor and Train new team members. Develop POCs to enhance team’s capability. Skillsets (Must) Strong understanding of Math, Statistics and the theoretical foundations of Statistical & Machine Learning, Parametric and Non-parametric models. Strong understanding of advanced data mining techniques, curating, processing and transforming data to produce sound datasets. Use various statistical techniques and ML methods to perform predictive modeling/classification for problems around client, distribution, sales, client profiles, segmentation and provide relevant & actionable recommendations/insights for the business. Strong understanding of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop. Stronghold on Visualization tool libraries in Python like matplotlib, seaborn. Experience with cloud computing infrastructure like Azure, Cosmos DB, PowerBI. Able to develop, test and deploy models on Cloud/Web. Experience in Designing and Deploying Deep Learning Solutions Excellent knowledge of Deep Learning Architectures/Convolutional Neural Networks Excellent knowledge of Supervised Learning, Adversarial Learning Excellent Python Coding Skills Robust working knowledge with deep learning frameworks (like Tensor flow, Keras, PyTorch) Skillsets (Good To Have) BFSI Domain. Experience on Textual Analytics, Web Crawlers, Recommendation Engines Understanding of MLOps Qualifications BE/B. Tech. /MBA/M.Stat./M.Sc. or equivalent degree in Quant. from reputed institute. 5-10 years of relevant experience. Soft Skills Excellent organizational skills and ability to prioritize wide range of tasks Demonstrated initiative and creativity - ability to influence (add value) Strong interpersonal, communication, motivational, organizational and planning skills Job Category: Advanced Analytics Posting End Date: 10/07/2025 Show more Show less

Heaps is one of the fastest growing health tech start-ups in India today. With more than 5 million patient interactions till date, Heaps is revolutionising how insurers, doctors and patients experience health care. We are building an AI driven end-to-end care management platform which coordinates, tracks and monitors the health of the patient empowering them with the right information to take right decisions at the right time about their health. Heaps is backed by marquee investors - titans in the healthcare industry who have invested more than $7.4 million in Series A funding. Heaps is on a path for global scaling, we’ve already expanded in 5 countries across the globe. Are you a data scientist with a knack for problem solving and crisp communication? Data science team at Heaps is chartered to drive analytics/machine learning programs across the organisation. Heaps is looking for experienced Data Scientists who will be at the forefront of developing products/solutions for insurance/hospital clients across the globe. You will be responsible to drive use cases and analytics assignments to help the clients uncover actionable insights from the data which will lead to improved care for the patients. Responsibilities Understand business problems and work on the statistical and analytical approach required for the solution Work on various steps of a data science project - Data mining and Exploratory Data Analysis (EDA), Feature Engineering, Statistical modelling, integration with AI/ML platform, visualisation and result inferencing and presentation to stakeholders Leverage machine learning techniques such as regression, classification, clustering, bayesian algorithms, matrix factorization, graphical models, to contribute to the execution of our vision for ML-based technology solutions Leverage advanced NLP algorithms/architectures to build custom models for entity extraction and concept recognition, relation extraction, summarization, textual classification and clustering, etc. Collaborate with business stakeholders to effectively integrate and communicate analysis findings Qualifications 2-3 years of prior data science experience Data science programming languages and querying databases: Python, SQL/HIVE Deep understanding of various statistical/ML techniques Expertise in the use of cloud based infrastructure to manage the volume and veracity of complex data streams Basic knowledge of API frameworks like Flask/Fastapi, version control systems like Git and cloud platform like AWS/GCP Show more Show less

Mandatory Skills - Gen-AI, Data Science, Python, RAG and Cloud (AWS/Azure) Secondary - (Any) - Machine Learning, Deep Learning, ChatGPT, Langchain, Prompt, vector stores, RAG, llama, Computer vision, Deep learning, Machine learning, OCR, Transformer, regression, forecasting, classification, hyper parameter tunning, MLOps. Requirement- More than 6 years of experience in Data Engineering, Data Science and AI / ML domain Excellent understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc. Experience using business intelligence tools (e.g. Tableau, PowerBI) and data frameworks (e.g. Hadoop) Experience in Cloud native skills. Knowledge of SQL and Python; familiarity with Scala, Java or C++ is an asset Analytical mind and business acumen and Strong math skills (e.g. statistics, algebra) Experience with common data science toolkits, such as TensorFlow, KERAs, PyTorch, PANDAs, Microsoft CNTK, NumPy etc. Deep expertise in at least one of these is highly desirable. E xperience with NLP, NLG and Large Language Models like BERT, LLaMa, LaMDA, GPT, BLOOM, PaLM, DALL-E, etc. Great communication and presentation skills. Should have experience in working in a fast-paced team culture. Experience with AIML and Big Data technologies like AWS SageMaker, Azure Cognitive Services, Google Colab, Jupyter Notebook, Hadoop, PySpark, HIVE, AWS EMR etc. Interested candidates share your CV at himani.girnar@alikethoughts.com with below details Candidate's name- Email and Alternate Email ID- Contact and Alternate Contact no- Total exp- Relevant experience- Current Org- Notice period- CCTC- ECTC- Current Location- Preferred Location- Pancard No-

Role & responsibilities Summary: The Data Scientist is responsible for supporting the development and implementation of data-driven solutions. The ideal candidate will have a strong background in ETL, data wrangling, data exploration and machine learning, as well as experience working in a corporate environment. Responsibilities: • Collect, clean, and organise data from a variety of sources • Perform data wrangling and EDA • Develop and implement statistical/ML models to analyse data • Communicate the results of data analysis to stakeholders • Stay up-to-date on the latest statistical methods and trends • Work with senior data scientists to develop and implement data-driven solutions Selecting features, building and optimizing classifiers using machine learning techniques: Data mining using state-of-the-art methods Enhancing data collection procedures to include information that is relevant for building analytic systems Processing, cleansing, and verifying the integrity of data used for analysis Develop and customize machine learning models and also combine models through ensemble modelling techniques• Selecting and employing advanced statistical procedures to obtain actionable insights. Build quick prototypes to demonstrate new technology / algorithm benefits Producing and disseminating non-technical reports that detail the successes and limitations of each project. Cross-validating models to ensure their generalizability. Architect and implement solutions to AI / ML problems. Suggesting ways in which insights obtained might be used to inform business strategies. Staying informed about developments in Data Science and adjacent fields to ensure that outputs are always relevant. Preferred candidate profile Qualifications & Skills: • Bachelor's degree in machine learning, statistics, mathematics or a related field • 2+ years of experience in data science • Strong programming skills (Python, SQL, etc.) • Experience with data mining, data wrangling, data analysis and machine learning • Excellent communication and presentation skills • Ability to work independently and as part of a team Benefits: • Competitive salary and benefits package • Opportunity to work on challenging and interesting projects • Collaborative and supportive work environment • Chance to make a real impact on the company If you are a highly skilled and experienced data scientist with a passion for data, we encourage you to apply for this exciting opportunity Perks and benefits

Location: Bangalore Responsibilities: Lead the execution of complex data science projects ensuring timely delivery and high- quality outcomes which enables business outcome. Identify new initiatives using emerging AI technologies and present them to Head/Lead of Data science. Build reusable AI components and assets and ensure their consumption in seamless manner by other data science projects/products. Collaborate effectively with other teams including Product, DB/DW and Applicatioon teams to ensure quick resolution of dependencies. Skills & Experience Required Strong knowledge and hands on experience with Agentic frameworks like Crew AI, Lang graph, Swarm AI etc. Good understanding of MCP (Model context protocol) Must have contributed significantly to development of at least 2 Gen AI project Must have worked with multiple Gen AI models including GPT, Claude, Qwen, Lama etc. Strong understanding of statistical concepts including probability, conditional probability, probability distribution, sampling, estimation, hypothesis testing etc. Deep understanding of ML models Knowledge of AutoML models like H2o and Pycaret and Deep learning models including MLP (Multi-layer perceptron), CNN, RNN, Self organizing maps (SOM), GAN (Generative Adversarial Networks), RBM (Restricted Boltzmann Machines) and LSTM (Long Short-Term Memory Networks) is preferable. Significant experience in SQL, Python, and Spark., Airflow Hands on experience with one of the MLOpS tools like ML flow (Open source preferred) Eligibility Bachelor /Master or Ph.D. in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.

10+yrs in software developmnt,3+ with GenAI or NLP Python (FastAPI, asyncio)strong with Hugging Face, OpenAI APIs, LangChain vector databases (e.g.Pinecone, Weaviate) & MLflow Strong judgment in using GenAI tools like ChatGPT and Copilot productively

Hi!! Greetings of the day!! We have openings for one of our Client - Senior Data Scientist Role. Work Mode: Work From Office(5 Days) Skills Hands-on experience in data analytics, data science, machine learning, deep learning Proven ability in using exploratory analysis and preparing structured and unstructured data to draw conclusions Ability to lead machine learning projects and modeling initiatives Fluency in Python and SQL for data science Advanced knowledge of data analysis, cleaning and preparation Understanding of machine learning, deep learning and modeling tools Expertise in programming and scripting languages (C++, Java, Python, R, Scala, SAS, SQL) Experience with statistical analysis and modeling techniques If interested , please share resume to aparna.ch@v3staffing.in

Job Title: Data Scientist Location: Vadodara preferred or Remote Experience Level: Entry to Mid-level (0–5 years) Employment Type: Full-Time Job Summary: We are seeking a skilled and driven Data Scientist with experience in Big Data, Large Language Models (LLMs), data organization, data analytics and advanced Excel. The ideal candidate will have a strong analytical background, a passion for uncovering insights from complex datasets and the ability to communicate data-driven findings to technical and non-technical stakeholders. You will be instrumental in designing and implementing data solutions that empower business decision-making and innovation. Key Responsibilities: · Collect, clean and organize large and complex datasets from multiple sources. · Develop and deploy predictive models and machine learning algorithms, including applications involving LLMs (e.g., GPT, BERT). · Analyse structured and unstructured data to generate actionable insights for business strategies. · Collaborate with cross-functional teams to identify data-related opportunities and deliver data-driven solutions. · Build scalable data pipelines and contribute to data architecture best practices. · Design and maintain advanced Excel dashboards, models and reports to support various departments. · Apply statistical and data mining techniques to interpret and visualize trends, patterns and correlations. · Present findings clearly through reports, visualizations and presentations tailored to different audiences. · Stay current on emerging data technologies, tools and methodologies. Required Qualifications: · Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics or a related field. · 0 to 5 years of experience in a data science or analytics role. · Advanced skills in Microsoft Excel, including Power Query, pivot tables, VBA/macros and complex formulas. · Solid understanding of relational databases and SQL. · Strong communication and problem-solving skills. Preferred Qualifications: · Hands-on experience with Big Data technologies (e.g., Hadoop, Spark, Hive). · Experience with cloud platforms (e.g., AWS, Azure, GCP) for data processing and model deployment. · Working knowledge or experience with Large Language Models (LLMs) and NLP techniques. · Proficiency in Python, R, or other data science programming languages. · Expertise in data analytics, data visualization (e.g., Tableau, Power BI, matplotlib) and data wrangling. · Familiarity with MLOps and model lifecycle management. · Knowledge of version control tools such as Git. · Experience with APIs and integrating external data sources. Show more Show less

About Impetus Impetus Technologies is a digital engineering company focused on delivering expert services and products to help enterprises achieve their transformation goals. We solve the analytics, AI, and cloud puzzle, enabling businesses to drive unmatched innovation and growth. Founded in 1991, we are cloud and data engineering leaders providing solutions to fortune 100 enterprises, headquartered in Los Gatos, California, with development centers in NOIDA, Indore, Gurugram, Bengaluru, Pune, and Hyderabad with over 3000 global team members. We also have offices in Canada and Australia and collaborate with a number of established companies, including American Express, Bank of America, Capital One, Toyota, United Airlines, and Verizon. Job Role- Data Scientist Experience- 3.5+ years Locations- Indore, Bangalore, Pune, Gurgaon, Noida Job Description Hands on experience of working with LLM (Large Language Models) or LangChain and OpenAI in particular. Implementing and fine tuning the AI- generated text prompts using LLMs (eg:-GPT4) Skilled in AI-specific utilities like ChatGPT, Hugging Face Transformers, etc. Ability to understand business requirements. Usecase derivation and solution creation from structured/unstructured data Story telling, Business communication and Documentation Programming Skills – Python, Scikit-Learn, TensorFlow, PyTorch, Keras Exploratory Data Analysis Machine Learning and Deep Learning Algorithms Model building, Hyperparameter tuning and Model performance metrics MLOps, Data Pipeline, Data engineering Statistics Knowledge (Probability Distributions, Hypothesis Testing) Time series modeling, Forecasting, Image/Video Analytics, Natural Language Processing (NLP). ML services from Clouds such as AWS, GCP, Azure and Databricks Optional - Big Data -Basic knowledge on Spark, Hive Roles & Responsibilities Acquire skills required for building Machine learning models and deploy them for production. Feature Engineering, EDA, Pipeline creation, Model training and hyperparameter tuning with structured and unstructured data sets. Develop Cloud based applications including LLM/GenAI and deploy them into production. Qualification Degree – Graduates/Postgraduate in CSE/IT or related field Show more Show less

As a Data Scientist, you will be part of a high performing team working on exciting opportunities in AI/ML within Ford Credit. We are looking for a seasoned Data Scientist with proven expertise in implementing Machine Learning/Optimization solutions with familiarity in Generative AI and a good grasp of Statistics. Develop Machine Learning (Supervised/Unsupervised learning), Neural Networks (ANN, CNN, RNN, LSTM, Decision tree, Encoder, Decoder), Natural Language Processing, Generative AI (LLMs, Lang Chain, RAG, Vector Database) . Hands-on Expertise in Python programming (OOPs concepts), SQL (relational/non-relational databases), experience in handling various data science libraries (Pandas, NumPy, SciPy, Sklearn, TensorFlow, Keras, Pytorch, etc.) would be a necessary requirement. Exposure to Cloud technologies (e.g., Google Cloud/AWS/Azure), including executing Machine Learning algorithms on Cloud is necessary. Exposure to Generative AI technologies. Professional Qualification: Potential candidates should possess 3 to 7 years of working experience as a Data Scientist. BE/MSc/ MTech /ME/PhD (Computer Science/Maths, Statistics). Possess a strong analytical mindset and be very comfortable with data. Experience with handling both relational and non-relational data. Hands-on with analytics methods (descriptive/predictive/prescriptive), Statistical Analysis, Probability and Data Visualization tools (Python-Matplotlib, Seaborn). Background of Computer Science with excellent Data Science working experience. Technical Experience: Develop Machine Learning (Supervised/Unsupervised learning), Neural Networks (ANN, CNN, RNN, LSTM, Decision tree, Encoder, Decoder), Natural Language Processing, Generative AI (LLMs, Lang Chain, RAG, Vector Database) . Hands-on Expertise in Python programming (OOPs concepts), SQL (relational/non-relational databases), experience in handling various data science libraries (Pandas, NumPy, SciPy, Sklearn, TensorFlow, Keras, Pytorch, etc.) would be a necessary requirement. Exposure to Cloud technologies (e.g., Google Cloud/AWS/Azure), including executing Machine Learning algorithms on Cloud is necessary. Exposure to Generative AI technologies. Ability to scope the problem statement, data preparation, training and making the AI/ML model production ready. Work with business partners to understand the problem statement, translate the same into analytical problem. Ability to manipulate structured and unstructured data. Develop, test and improve existing machine learning models. Analyse large and complex data sets to derive valuable insights. Research and implement best practices to enhance existing machine learning infrastructure. Develop prototypes for future exploration. Design and evaluate approaches for handling large volume of real data streams. Ability to determine appropriate analytical methods to be used. Collaborate with data engineers, solutions architects, application engineers, and product teams across time zones to develop data and model pipelines

Job Description As a Data Scientist, you will be part of a high performing team working on exciting opportunities in AI/ML within Ford Credit. We are looking for a seasoned Data Scientist with proven expertise in implementing Machine Learning/Optimization solutions with familiarity in Generative AI and a good grasp of Statistics. Develop Machine Learning (Supervised/Unsupervised learning), Neural Networks (ANN, CNN, RNN, LSTM, Decision tree, Encoder, Decoder), Natural Language Processing, Generative AI (LLMs, Lang Chain, RAG, Vector Database) . Hands-on Expertise in Python programming (OOPs concepts), SQL (relational/non-relational databases), experience in handling various data science libraries (Pandas, NumPy, SciPy, Sklearn, TensorFlow, Keras, Pytorch, etc.) would be a necessary requirement. Exposure to Cloud technologies (e.g., Google Cloud/AWS/Azure), including executing Machine Learning algorithms on Cloud is necessary. Exposure to Generative AI technologies. Responsibilities Ability to scope the problem statement, data preparation, training and making the AI/ML model production ready. Work with business partners to understand the problem statement, translate the same into analytical problem. Ability to manipulate structured and unstructured data. Develop, test and improve existing machine learning models. Analyse large and complex data sets to derive valuable insights. Research and implement best practices to enhance existing machine learning infrastructure. Develop prototypes for future exploration. Design and evaluate approaches for handling large volume of real data streams. Ability to determine appropriate analytical methods to be used. Collaborate with data engineers, solutions architects, application engineers, and product teams across time zones to develop data and model pipelines Qualifications Professional Qualification: Potential candidates should possess 3 to 7 years of working experience as a Data Scientist. BE/MSc/ MTech /ME/PhD (Computer Science/Maths, Statistics). Possess a strong analytical mindset and be very comfortable with data. Experience with handling both relational and non-relational data. Hands-on with analytics methods (descriptive/predictive/prescriptive), Statistical Analysis, Probability and Data Visualization tools (Python-Matplotlib, Seaborn). Background of Computer Science with excellent Data Science working experience. Technical Experience: Develop Machine Learning (Supervised/Unsupervised learning), Neural Networks (ANN, CNN, RNN, LSTM, Decision tree, Encoder, Decoder), Natural Language Processing, Generative AI (LLMs, Lang Chain, RAG, Vector Database) . Hands-on Expertise in Python programming (OOPs concepts), SQL (relational/non-relational databases), experience in handling various data science libraries (Pandas, NumPy, SciPy, Sklearn, TensorFlow, Keras, Pytorch, etc.) would be a necessary requirement. Exposure to Cloud technologies (e.g., Google Cloud/AWS/Azure), including executing Machine Learning algorithms on Cloud is necessary. Exposure to Generative AI technologies. Show more Show less

Mandatory Skills – Java OR Python, SQL OR Oracle Exp – 4 to 10 Yrs 28 LPA CTC 4+ yrs working with advanced statistical methods such as regressions, classifiers, recommenders, anomaly detection, optimization algorithms, tree methods, neural nets, etc Required Candidate profile 2+ years with relational or NoSQL databases Dev and imp. of data mining protocols, architectures, and models as well as data analysis methodologies, used to identify trends in large data sets 28 LPA

Job Title: AI/ML Engineer Location: Bangalore (Hybrid) Experience: 3+ years About the Role: We are looking for an experienced AI/ML Engineer with a strong background in Generative AI (GenAI), Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) implementation . You will play a key role in designing, developing, and deploying cutting-edge AI solutions that leverage state-of-the-art machine learning techniques to solve complex problems. Key Responsibilities: Design, develop, and optimize LLM-based applications with a focus on RAG pipelines, fine-tuning, and model deployment . Implement GenAI solutions for text generation, summarization, code generation, and other NLP tasks. Develop and optimize ML models , leveraging classical and deep learning techniques. Build and integrate retrieval systems using vector databases like FAISS, ChromaDB, Pinecone, or Weaviate . Optimize and fine-tune LLMs (e.g., OpenAI GPT, LLaMA, Mistral, Falcon ) for domain-specific use cases. Develop data pipelines for training, validation, and inference. Work on scalable AI solutions , ensuring performance and cost efficiency in deployment. Collaborate with cross-functional teams to integrate AI models into production applications. Required Skills & Qualifications: 3+ years of experience in AI/ML development. Strong proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Hugging Face Transformers . Hands-on experience with LLMs, GenAI, and RAG architectures . Experience working with vector databases (e.g., FAISS, Pinecone, ChromaDB). Knowledge of ML algorithms , deep learning architectures, and NLP techniques. Familiarity with cloud platforms ( AWS, GCP, or Azure ) and AI/ML model deployment. Experience with LangChain or LlamaIndex for LLM applications is a plus. Strong problem-solving skills and the ability to work in a fast-paced environment. Nice-to-Have Skills: Experience with multi-modal AI models (text, image, video). Knowledge of MLOps tools (Kubeflow, MLflow, or Vertex AI). Familiarity with prompt engineering and fine-tuning strategies . Why Join Us Work on cutting-edge AI projects in an innovative and collaborative environment. Opportunities for career growth and learning in the fast-evolving AI space. Competitive compensation, flexible work options, and great team culture. How to Apply: If you re passionate about AI and eager to build next-gen AI applications, we d love to hear from you!

DO NOT APPLY WITHOUT UNDERSTANDING THE ENTIRE JOB DESCRIPTION We are Hiring a Senior Data Scientist for a Leading Fortune 500 Manufacturing Brand Location: Mumbai Experience: Minimum 8 years in Data Science - AI/ML Education: M.E / M.Tech in Computer Science/ IT/ Data Science/ with persuasion of PhD Job Description: - Sr. Data Scientist will be required to build hypothesis, research, prototype, design, develop, and help implement enterprise level ML/ AI/Gen AI models for projects to transform and improve companys business results and competitive position & ensure alignment to the overall digital, data & AI strategy and current and future business objectives. Contribution to Data & AI Platform and Products Work within Digital Data AI Team in development of data science & AI capabilities and features to support delivery on defined objectives around platform aspects Design, implement, and evolve robust, secure and quality solutions that operate for the business ecosystem. Research, design & development of High-Quality Data, AI and analytical systems Define exploratory data analysis (EDA) keeping in line with problem necessities Ensure the development of quality procedures and standards products and supervising tests. Work on various data correction problems such as data cleansing, sourcing and integrating from multiple platforms to make the good data available for data analysis , data science & AI development Provide and help deliver the Solutions Hands on contribution to provide solutions and POCs , working in cross- functional or agile teams to develop and deliver significant aspects of the models and systems. Lead and mentor junior data scientists and ensure availability of necessary data and analysis as needed by business requirement and use cases. Conduct diagnostic across existing data and make future state recommendations in regular intervals. Collaborate with Business Analyst, Data scientists, Data Engineers and Data Analysts to ensure understanding and alignment between business needs and technical implementation. Monitor performance of existing solutions across use cases to identify and drive optimization. Oversee and Research, develop and analyse NLP, Gen AI , computer vision algorithms in Various use cases. Ensure model robustness, model generalization, accuracy, testability, and efficiency. Write product or system development code. Contributing via understanding of machine learning techniques and algorithms, including clustering, anomaly detection, optimization, neural network etc Responsible for deploying AI/ML models (ML Ops) in standalone and cloud based systems and services. Support Projects and Initiatives Help in Collaboration with business unit heads and corporate functions to identify and assist in providing data analysis support across different projects Identify data from legacy systems, to build new solutions based on requirement Provide necessary technical support in new and ongoing digital initiatives to ensure seamless data solutioning. Requisite Experience Essential Minimum 10 Yrs with of experience in data analytics & data science, building, and maintaining various ML models. Good know how of emerging small and larger models 3 to 5 + years of experience in each of the Data Science specialization like NLP, Demand Forecasting, ML Ops Should be able to present portfolio of data science work or use cases Preferred Sound understanding of Data analysis to support the preparatory work Experience working in the agile Environment. Know how/ Familiarity in all aspects of MLOps (source control, continuous integration, deployments, etc.) Experience/ Exposure with Cloud data services like AWS or Azure Special Skills Required Functional: Excellent understanding of machine learning techniques and algorithms, including clustering, anomaly detection, optimization, neural network etc. Strong hands-on coding skills in Python, processing large-scale data set and developing machine learning models. Experience programming in Python, R, and SQL Expertise in developing ML models and deployment of the same Hands on working on developing NLP models using transformers and computer vision. Know-how of deploying AI/ML models (ML Ops) in standalone and cloud-based systems and services. Comfortable working with DevOps: Jenkins, Bitbucket, CI/CD SQL Server experience required Understanding of, dimensional data modelling, structured query language (SQL) skills, data warehouse and reporting techniques Data Governance & Ethics Leadership: Strong analytical skills, ability to ask right questions, analyse data and draw conclusion by making appropriate assumptions, to solve and model complex business requirements Ability to lead team of junior data scientists, get into the details of the problem and ability to code the solution hands on as and when needed Planning & Organizing Present complex data analysis in consumable way and Engage the stakeholders Ability to collaborate with different teams and clearly communicate solutions to both technical and non-technical team members Team player

Gain a comprehensive understanding of the process and data flow. Acquire in-depth knowledge of the reports provided by GB Outsourcing. Create analytics and reports for insurers to enable strategic decision-making based on various facts, figures, and trends. Develop analytics for internal stakeholders and provide regular feedback. Work with the business to develop new products and evaluate their impact. Additionally, collaborate with stakeholders to understand their needs and provide data-driven insights to inform decision-making. Translate analytical insights into strategic recommendations and effectively communicate them to both technical and non-technical stakeholders. Adapt to a fast-changing environment, switching priorities as needed while producing high-quality and accurate reports. Innovate by proposing and implementing ideas for new reports and process simplification Qualifications Qualifications: Tech (coding) Graduate or Post-Graduate in Data Science Experience: 2-3 years of experience in analytics profile with working knowledge to predictive analytics preferably Technical Competencies: Experience in SQL, R, Python, with VBA optional Working knowledge on capabilities of Gen AI Background in Computer Science & Statistics preferred. Data Analysis and Interpretation Skills: Impactful written and verbal communication Strong team player Business acumen Problem-solving, quantitative, and analytical skills Logical thinking Highly self-driven in managing your own portfolio and assigned responsibilities with accuracy. Technical competency to do complex work independently. Ability to prioritize tasks and meet project deadlines

The role The Data Scientist is a vital role within the Blenheim Chalcot portfolio and Oakbrook. Role is a professional who uses data to solve problems, uncover patterns, and help organizations make better decisions. You will gain hands-on experience in a fast-paced and progressive environment, where you will support us in building our next generation of GenAI enabled tech businesses. Key responsibilities and duties Develop and deploy machine learning models to support credit risk and business strategy. Refresh and maintain production models, ensuring performance and stability. Build dashboards and reports to monitor key performance Present model insights and recommendations at Credit Committees and stakeholder meetings. Drive continuous improvement of modelling approaches and feature engineering pipelines. Support ad-hoc analysis and investigations related to credit performance . About you The ideal candidate will have a track-record in delivering results in a fast-moving business and hence be comfortable with change and uncertainty. Excellent stakeholder management experience is essential to being successful in this role. Qualifications, technical and or professional experience Previous experience using a programming language with a willingness to learn SQL and R Experience with producing reports in Power BI Experience with model building and development would be advantageous About Blenheim Chalcot Blenheim Chalcot is one of the leading venture builders in the world. We have been building exciting and disruptive businesses for over 26 years across sectors including FinTech, EdTech, GovTech, Media, Sport, Charity and more. These companies are all GenAI enabled and are some of the most innovative companies in the UK and increasingly around the world. The BC team in India has been instrumental to the growth and success of Blenheim Chalcot. Established in 2014, Blenheim Chalcot India serves as a pivotal launchpad for those aiming to make a difference in the realm of innovation and entrepreneurship. Blenheim Chalcot India is driven by a mission to empower visionaries to lead, innovate, and build disruptive solutions. We support our diverse portfolio of ventures and create impactful solutions that shape global trends. We provide a range of services to help new business get off the ground, including technology, growth (marketing and sales), talent, HR, finance, legal and tax, plus so much more! One of our [insert sector e.g. FinTech or MarTech] ventures, [insert venture name], is scaling fast and we re looking to hire high energy, motivated and curious talent to support them on that journey! About Oakbrook Founded in 2011, Oakbrook has united experts in consumer lending, advanced analytics, and innovative technology, all driven by the belief that consumer lending can be more personalized and customer centric. The collective mission across our three companies is to simplify and tailor the borrowing experience. By leveraging cutting-edge technology, data, and analytics, we provide fairer access to credit that reflects each customer s unique circumstances, moving beyond outdated models that rely on averages and backward-looking assessments. Our goal is to create a more inclusive, individualized approach to lending. What we can offer you Be part of the World s Leading Digital Venture Builder Have the opportunity to be a part of and learn from the incredible diverse talent in BC Be exposed to the right mix of challenges, within a culture that promotes continuous learning and development and opportunity to work with Gen AI A fun and open, if a little cricket obsessed, atmosphere - we own the Rajasthan Royals IPL team! 24 days of annual leave &10 public holiday days Private Medical for you and your immediate family & Life Insurance for yourself Important

We are actively hiring for Data Scientist Full time Locations: Chennai, Pune, Bangalore, Noida, Gurgaon (Work from Office) Experience needed : 8+ Immediate joiners Experience with AI/ML Frameworks like TensorFlow, PyTorch, or similar. Knowledge of Data Mapping Techniques : Experience with AI-driven tools and methodologies for data mapping . Strong Code Generation Skills : Experience in developing AI models for automating code generation. Experience with Data Validation : Implementing AI-based validation techniques. Familiarity with Code Conversion : Understanding AI algorithms for code conversion. Experience with Databases like SQL Server and MongoDB. Collaboration Skills : Ability to work effectively with cross-functional teams. Problem-Solving Skills : Strong ability to identify issues and develop creative solutions. Attention to Detail : Ensure accuracy and reliability of data conversions. 5+ Years of Relevant Experience in data science or a related field. Willingness to Fail Fast and learn from mistakes in the fast-paced technology market. Preferred qualifications for consideration: Experience in the Financial Services Industry and an understanding of compliance standards. Certification in Data Science or AI/ML . Experience with Master data management, Data Wrangling and ETL Processes . Familiarity with DevOps Tools like Jira, Confluence, and BitBucket. Experience with data and AI/ML Technologies : Such as NLP/NLU, Azure Cognitive Services, Azure Synapse Analytics, Azure data bricks and Azure ML service. Previous Experience Delivering AI Solutions for complex data or conversions

About Trellance: Trellance is a leading provider of data analytics, business intelligence solutions, professional services, and consulting for credit unions. Founded in 1989, Trellance supports over 1,500 organizations across the United States, helping them uncover actionable insights, improve member experiences, and achieve portfolio growth. Our headquarters is in Tampa, FL. Job Summary: We are seeking a detail-oriented Senior Data Scientist to join our team. The Senior Data Scientist will be responsible for collecting, analyzing, interpreting, and presenting quantitative data to help us deliver exceptional data-driven insights and solutions to our clients. The ideal candidate will have experience in the BFSI industry, strong statistical knowledge, predictive modeling skills, experience with statistical software, and the ability to translate complex data into actionable insights. Key Responsibilities: Machine Learning and Model Optimization Design and implement machine learning models, including supervised and unsupervised algorithms, neural networks, and ensemble methods. Train, validate, and evaluate model performance using appropriate metrics and techniques. Optimize models for scalability, efficiency, and interpretability. Statistical Insights and Communication Interpret statistical findings to provide insights into business performance, market trends, and consumer behavior. Communicate complex statistical concepts and findings to clients in a clear and concise manner. Collaboration and Continuous Improvement Collaborate with cross-functional teams to develop solutions that meet client needs. Stay updated on new statistical methodologies, tools, and technologies. Documentation and Knowledge Management Develop and maintain documentation of statistical methods, analyses, and data sources. Qualifications: Bachelors Degree or Masters degree in Statistics, Mathematics, Data Science, Engineering, or a related field. 3 to 5 years of experience in a statistician, data scientist, or similar role. Good to have experience in the BFSI industry. Experience in statistical analysis , segmentation, hypothesis testing, forecasting, predictive modeling, and machine learning. Serve as a subject matter expert on statistical methodologies and techniques. Good Knowledge of software packages, such as R or Python . Basic knowledge of any visualization tool such as Power BI and Tableau. Experience with machine learning libraries/frameworks, such as TensorFlow, PyTorch, scikit-learn, or Keras. Strong analytical and problem-solving skills, with the ability to think critically and creatively about complex problems. Excellent communication and presentation skills, with the ability to convey technical information to non-technical audiences. Ability to work independently and in a team environment. Good to have experience in deep learning and AI.

Accounts Lead / Lead Data Scientist (Job Order 277) Current Available Openings Position Details: Accounts Lead / Lead Data Scientist (Job Order 277) Description: Job Title: Lead Data Scientist Reports To: CEO Job Summary: We are seeking a highly skilled and experienced Data Scientist with 6+ years of hands-on experience in data science, analytics, and stakeholder engagement. The ideal candidate should have strong expertise in Python , Tableau , Snowflake , Machine Learning, Statistical testing and should be comfortable driving business insights through storytelling and daily interactions with stakeholders. Key Responsibilities: Design, build, and deploy scalable machine learning models to solve complex business problems Write and optimise complex SQL queries, particularly on the Snowflake platform Develop insightful dashboards and visualisations using Tableau Conduct data exploration, cleaning, and transformation using Python & R and relevant libraries (Pandas, NumPy, Scikit-learn, etc.) Perform A/B testing & other statistical techniques Translate analytical insights into clear, compelling stories and recommendations for stakeholders Collaborate cross-functionally with product, engineering, and business teams to understand data needs and deliver solutions Present findings and recommendations to both technical and non-technical stakeholders regularly Requirements: 6+ years of professional experience in data science or advanced analytics Strong proficiency in Python for data manipulation, analysis, and modelling Proven experience in building dashboards and reports using Tableau Expertise in writing complex SQL queries , especially on Snowflake Solid understanding of machine learning techniques, statistical tests and model deployment best practices Excellent communication and storytelling skills to convey data-driven insights Comfortable working closely with stakeholders daily to gather requirements and present findings

At McCormick, we bring our passion for flavor to work each day. We encourage growth, respect everyones contributions and do whats right for our business, our people, our communities and our planet. Join us on our quest to make every meal and moment better. Founded in Baltimore, MD in 1889 in a room and a cellar by 25-year-old Willoughby McCormick with three employees, McCormick is a global leader in flavour. With over 14,000 employees around the world and more than $6 Billion in annual sales, the Company manufactures, markets, and distributes spices, seasoning mixes, condiments and other flavourful products to the entire food industry, retail outlets, food manufactures, food service businesses and consumers. While our global headquarters are in the Baltimore, Maryland, USA area, McCormick operates and serves customers from nearly 60 locations in 25 countries and 170 markets in Asia-Pacific, China, Europe, Middle East and Africa, and the Americas. At McCormick, we have over a 100-year legacy based on our Power of People principle. This principle fosters an unusually dedicated workforce requiring a culture of respect, recognition, inclusion and collaboration based on the highest ethical values. Position Overview Reporting to the AI, Automation and Data Science Manager, the AI / ML / Data Scientist is responsible for utilizing advanced analytics, machine learning, and automation techniques to extract actionable insights from diverse datasets. The incumbent should have a robust understanding of key AI / ML concepts and combine their expertise in data, computational science, and technology with MKC consumer-oriented business knowledge. Ultimately will drive high-value insights into the organization and steer strategic growth initiatives. Key Responsibilities Mine and analyze data from enterprise databases by applying statistics, machine learning, and analytic approaches to drive optimization and operational improvements. Collaborate with functions, functional solution leads, and strategic solution build teams to deploy scalable AI/ML-infused applications. Choose appropriate algorithms based on the nature of the problem, data structure, and desired outcomes. Train ML models using historical data and assess their performance against predefined metrics. Continuously optimize and fine-tune models for improved accuracy and efficiency. Required Qualifications & Experience Bachelors in Supply Chain, Computer Science, Data, Finance or relevant field. Automation Tools and Frameworks Programming, Testing and QA Data Analytics Technical knowledge for Data environments, transformation, models and queries Partnering across different regions and functions Interpersonal Skills Strong communication and diplomacy skills Strong analytical decision-making and direction-setting Experience working with regions and different culture WHY WORK AT MCCORMICK? United by flavor. Driven by results. As a McCormick employee you ll be empowered to focus on more than your individual responsibilities. You ll have the opportunity to be part of something bigger than yourself to have a say in where the company is going and how it s growing. Between our passion for flavor, our 130-year history of leadership and integrity, the competitive and comprehensive benefits we offer, and our culture, which is built on respect and opportunities for growth, there are many reasons to join us at McCormick.

Skillsets: Familiarity with Cloud Platforms (AWS, Azure, or Google Cloud) and cloud-native services. Experience with CI/CD pipelines, container orchestration, and cloud deployment. Proficiency in Python for backend development. Understanding of Databases and Data Storage Solutions in a cloud environment. Experience with Docker, Kubernetes, and Infrastructure-as-Code (IaC) tools. Strong problem-solving skills and ability to troubleshoot cloud-based deployments. Familiarity with Git for version control and team collaboration. Passion for learning new technologies and adapting to evolving cloud architectures. Nice-to-Have: Exposure to MLOps frameworks for model training and deployment. Understanding of security best practices in cloud environments. Knowledge of Serverless computing and API development using RESTful Frameworks. Familiarity with Web Development (HTML, CSS, JavaScript, React.JS). Responsibilities: Design, develop, and manage cloud-based data solutions on AWS/Azure. Implement and optimize CI/CD pipelines for seamless deployment of machine learning models and data applications. Work with Docker and other containerization technologies to streamline deployment and scalability. Automate and monitor cloud infrastructure to ensure reliability and performance. Support Data Storage Solutions, Database Management, and cloud-based ETL pipelines. Collaborate with data scientists, engineers, and DevOps teams to integrate cloud and MLOps best practices. Maintain version control and workflow efficiency using Git and DevOps methodologies.

Are you passionate about applying machine learning and statistical modeling to revolutionize financial systems that handle billions of dollars in transactions? Our team faces a unique challenge: developing intelligent systems to process, analyze, and derive insights from massive financial datasets generated across Amazons global operations. This includes millions of customer transactions, vendor payments, inventory movements, commission calculations, and tax collections across hundreds of jurisdictions worldwide. As an Applied Scientist, you will: Design and implement novel machine learning solutions for complex financial problems Work with large-scale distributed systems and real-time data processing Develop automated decision-making systems for financial workflows Create scalable algorithms that balance accuracy, latency, and computational efficiency Collaborate with software engineers to productionize ML models The ideal candidate will have: Experience in machine learning, statistical modeling, and data analysis Experience with large-scale distributed systems and cloud computing Proven track record of solving complex analytical problems Excellence in scientific programming (Python, R, or similar) communication skills to collaborate with cross-functional teams Passion for mentoring and technical leadership Youll join a team that values innovation and scientific rigor, working alongside world-class engineers and scientists. Youll have the opportunity to influence the architecture of next-generation financial systems while solving novel problems in machine learning and automated decision-making. The ideal candidate will have: Experience in machine learning, statistical modeling, and data analysis Experience with large-scale distributed systems and cloud computing Proven track record of solving complex analytical problems Excellence in scientific programming (Python, R, or similar) Communication skills to collaborate with cross-functional teams Passion for mentoring and technical leadership About the team The Disputes management team manages systems handling vendor billing disputes across Amazons global operations. These disputes arise from invoice matching discrepancies, resulting in short payments due to quantity and price variances, as well as receivables from vendor returns and other deductions. The Dispute Management System enables dispute creation through multiple channels (Vendor Central, FinOps Central), provides automated research and recommendations, and facilitates communication between vendors and FinOps analysts. Our platform streamlines the entire dispute lifecycle, from initial filing through final resolution, ensuring accurate handling of financial claims while maintaining strong vendor relationships. PhD, or Masters degree and 5+ years of CS, CE, ML or related field experience Experience programming in Java, C++, Python or related language Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms Experience in professional software development