3449 Data Scientist Jobs - Page 28

Job Description: Key Responsibilities **Text Embeddings & NLP** -Must have 3+ Years of experience on traditional ML. -Must have 3+ Years of experience working as Data scientist. Design and implement pipelines leveraging text embeddings for semantic search, classification, clustering, and document retrieval. - Work with embedding techniques such as TF-IDF, Word2Vec, GloVe, FastText, and transformer-based models including BERT, Sentence-BERT, OpenAI, and Azure OpenAI embeddings. - Apply dimensionality reduction methods (PCA, t-SNE, UMAP) to analyze and visualize embedding spaces. - Use cosine similarity, Euclidean distance, and approximate nearest neighbor algorithms like FAISS and ScaNN for similarity search and clustering. - Integrate embedding outputs into downstream applications such as intent detection, topic modeling, semantic deduplication, document ranking, and retrieval systems. **Traditional Machine Learning & Statistical Modeling** - Build and deploy predictive models with logistic/linear regression, random forests, gradient boosting techniques (XGBoost, LightGBM), SVM, Naive Bayes, k-means, and hierarchical clustering. - Employ statistical inference techniques including hypothesis testing, confidence intervals, bootstrapping, Bayesian inference, multicollinearity diagnostics, residual analysis, and time series forecasting (ARIMA, SARIMA). - Evaluate model performance using ROC/Precision-Recall curves, AUC, confusion matrices, F1-score, lift/gain charts, and KS statistics. - Conduct feature selection via Lasso/Ridge regression, recursive feature elimination (RFE), and SHAP values for interpretability. **Experimentation & Causal Inference** - Design and analyze A/B and multivariate tests, DOE experiments, and sophisticated causal inference methods including propensity score matching, causal forests, and difference-in-differences. - Translate experimental results into clear, actionable business insights that drive measurable outcomes. **Data Engineering & Productionization** - Develop scalable data pipelines using PySpark, SQL, and Azure Data Factory on platforms including Azure Data Lake, Databricks, MongoDB, and Cosmos DB. - Deploy machine learning solutions with FastAPI, Docker containers, and Azure App Services endpoints, while monitoring model health with MLflow and model drift. **Collaboration & Leadership** - Partner effectively with engineering, product, and business teams to define problem statements and deliver impactful solutions. - Lead technical discussions, perform code reviews, and mentor junior data scientists to foster technical growth. - Communicate complex analytical insights clearly to both technical and non-technical stakeholders. Required Skills and Qualifications Hands-on experience in machine learning, statistical modeling, and NLP applications. - Deep expertise in text embeddings and their real-world applications. - Proficiency in Python, PySpark, and SQL. - Strong foundation in statistical inference, model diagnostics, and evaluation metrics. - Experience working with Azure cloud ecosystem, Databricks, and production deployment of ML models. - Proven ability to design, execute, and interpret experiments with statistical rigor. Preferred (Good-to-Have) Skills - Familiarity with transformer-based large language models (LLMs), LangChain, or OpenAI APIs. - Experience with MLOps tools such as MLflow and Github Actions CI/CD pipelines with Azure App Services. - Exposure to graph analytics, retrieval-augmented generation (RAG) pipelines, or agent-based systems. Day-to-Day Responsibilities You will architect and implement advanced NLP and machine learning pipelines leveraging diverse text embeddings for semantic search, classification, and clustering tasks. Applying sound statistical modeling and causal inference techniques, you will lead experimentation efforts and build scalable data workflows using PySpark, SQL, and Azure services. Cross-functional collaboration will be a core part of your role as you translate analytical insights into strategic business outcomes.

Data Scientist Work from office only Location - Coimbatore Must Have - Coding : Python , Pyspark Framework : Tensorflow, SK learn, Pytorch, Tflite General : Machine learning,Deep learning , Databricks : DLT and sparkML If Interested, Kindly share the updated CV at tanuja@symbiosisindia.net

Job Description: We are seeking an enthusiastic and highly skilled Senior AI ML Developer to join our team and work on exciting AI initiatives. The ideal candidate should have worked in CRM Domain like Zoho CRM/ Fresh works and have expert knowledge in AI/ML models, LLMS, Vector database and RAG techniques to automate workflows, create conversational analytics assistants and create similarity models by clustering/ embeddings. Key Responsibilities: 1. Develop CRM Agentic AI Design and implement AI agents using frameworks like Lang Chain, AutoGPT, or ReAct. Automate CRM processes by enabling agents to handle emails, generate follow-ups, update pipelines, and classify tickets. Integrate models for sentiment analysis, intent recognition, entity extraction, and summarization. Connect agents to external APIs, calendars, and CRM tools (e.g., Salesforce, HubSpot). Manage agent memory and context via vector databases like FAISS or Pinecone. 2. Conversational KPI Dashboard Assistant Build a chatbot interface that allows users to query CRM KPIs via natural language. Use Python, LangChain, and OpenAI APIs to parse queries and trigger backend data retrieval tools. Render results in both dashboard format (e.g., Recharts/Chart.js) and tabular views. Support queries like Whats the total expected revenue this quarter?” or “Show me the lead-to-win ratio by region.” 3. Similarity and Recommendation Engines Extract features from existing AI/ML libraries. Build and manage an embedding database for semantic similarity search. Implement clustering algorithms (e.g., K-Means) to group songs based on genre. Develop a scoring system to compare new tracks to a database of existing songs. Required Experience and Qualifications: 4+ years of experience in AI/ML Model development. Should have expert knowledge in CRM Domain including workflows, Forms, Dashboards/reports and data import/export as done. Proficient in Python, with strong experience in TensorFlow, PyTorch, and Scikit-learn. Working knowledge of LangChain, AutoGPT and LLM integration. Expertise in developing Agents for CRM, Dashboards in Leading organisation. Expertise in implementing Agentic AI solutions using LLM models, RAG and Vector database. Proven experience in vector similarity, embedding models and clustering techniques. Passionate about AI innovation and solving real-world challenges with automation and intelligence Proven experience in designing platform architecture and managing API integrations. Strong background in microservices architecture and REST API design. Demonstrated experience with scalability and performance optimization for cloud-based platforms. Experience with Agile methodologies and leading cross-functional teams in a fast-paced environment. Excellent communication and presentation skills for delivering product demos and gathering customer feedback. Proven ability to manage a product roadmap and deliver on tight deadlines. Experience with data security, compliance, and industry best practices. A bachelor’s degree in computer science, engineering, or a related field.

Data mining or extracting usable data from valuable data sources. Using machine learning tools to select features, create and optimize classifiers. Processing, cleansing, and validating the integrity of data to be used for analysis. Required Candidate profile Should have exp of Data Science, Machine learning, Hive, Hadoop,Python, SQL, NLP, Gen AI etc. Should have Team handling and US Client handling exp. Pharma / biotech / healthcare industry preferred

Hi, Greetings from Sun Technology Integrators!! This is regarding a job opening with Sun Technology Integrators, Bangalore. Please find below the job description for your reference. Kindly let me know your interest and share your updated CV to nandinis@suntechnologies.com ASAP. Strong background in traditional AI/ML Experience building GenAI chatbots, agents, implementing tools with Gemini or similar vendors Fine tuning experience of LLMs Ability to work with LLM APIs Experience with modern Generative AI development frameworks and tools (LangChain, Vector DBs) Agentic Frameworks (e.g., LangGraph, CrewAI, ). Experience with prompt engineering Experience with RAG architecture Experience in Google Cloud and Vertex AI Experienced with Python Please let me know, if any of your friends are looking for a job change. Kindly share the references. Please Note: WFO- Work From Office (No hybrid or Work From Home) Shift Details: IST Shift - 12.30 PM to 9.30 PM IST -2 ways free cab facility(Pickup+Drop) Years of Exp-5 to 10 years Interview Mode- 2 rounds Virtual interview Thanks and Regards, Nandini S | Sr.Technical Recruiter Sun Technology Integrators Pvt. Ltd. nandinis@suntechnologies.com www.suntechnologies.com

Job Title: Data Scientist Turning Data into Decisions Location: Bengaluru | Experience: 25 Years | Type: Full-Time About the Role: Are you passionate about predicting the future with data? Do you thrive on uncovering patterns hidden in time series and driving impactful business decisions? We’re looking for a Data Scientist who’s part analyst, part engineer, and 100% curious. What You’ll Do: Forecast demand like a pro Optimize supply chains and uncover hidden trends Build smart ML models using Python, TensorFlow, or PyTorch Turn messy data into clear, actionable insight Collaborate with teams and tell compelling stories through dashboards Tech Toolkit: Time Series | Regression & A/B Testing Python | NumPy, Pandas, scikit-learn Tableau / Plotly / Matplotlib SQL | ETL Pipelines You’re a Perfect Fit If: You have 2+ years of hands-on Data Science experience You think in models and breathe in data You’re a storyteller with code and charts You love solving problems that make businesses smarter.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Positions in this function produce innovative solutions driven by exploratory data analysis from unstructured, diverse datasets typically measured in gigabytes or larger. Applies knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement. Uses a flexible, analytical approach to design, develop, and evaluate predictive and prescriptive models and advanced algorithms that lead to optimal value extraction from the data. Works with analytics and statistical software such as SQL, R, Python, Hadoop and others to perform analysis and interpret data. This function is not intended for employees performing the following work: less complex analysis on small data sets; rules-based algorithmic or descriptive analytics; development of big data infrastructure. Primary Responsibilities: Analyzes and investigates Provides explanations and interpretations within area of expertise Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regard to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualification: Under graduation, Btech At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

Position level: AI Specialist/Software engineering professional (Cant be a junior/fresher, needs to be middle to senior level person) Work Experience: Ideally, 4 to 5 years of working as a Data Scientist / Machine Learning and AI at a managerial position (end-to-end project responsibility). Slightly lower work experience can be considered based on the skill level of the candidate. About the job: Use AI-ML to work with data to predict process behaviors. Stay abreast of industry trends, emerging technologies, and best practices in data science, and provide recommendations for adopting innovative approaches within the product teams. In addition, championing a data-driven culture, promoting best practices, knowledge sharing, and collaborative problem-solving. Abilities: Knowledge about data analysis, Artificial Intelligence (AI), Machine Learning (ML), and preparation of test reports to show results of tests. Strong in communication with a collaborative attitude, not afraid to take responsibility and make decisions, open to new learning, and adapt. Experience with end-to-end process and used to make result presentation to customers. Technical Requirements: Experience working with real world messy data (time series, sensors, etc.) Familiarity with Machine learning and statistical modelling Ability to interpret model results in business context Knowledge of Data preprocessing (feature engineering, outlier handling, etc.) Soft Skill Requirements: Analytical thinking Ability to connect results to business or process understanding Communication skills Comfortable explaining complex topics to stakeholders Structured problem solving – Able to define and execute a structured way to reach results Autonomous working style – can drive a small project or parts of a project Tool Knowledge: Programming: Python (Common core libraries: pandas, numpy, scikit-learn, matplotlib, mlfow etc.); Knowledge of best practices (PEP8, code structure, testing, etc.) Code versioning (GIT) Data Handling: SQL; Understanding of data format (CSV, JSON, Parquet); Familiarity with time series data handling Infrastructure: Basic Cloud technology knowledge (Azure (preferred), AWS, GCP); Basic Knowledge of MLOps workflow Good to have: Knowledge of Azure ML, AWS SageMaker; Knowledge of MLOps best practices in any tool; Containerization and deployment (Docker, Kubernetes) Languages: English – Proficient/Fluent Location: Hybrid (WFO+WFH) + Availability to visit customer sites for meetings and work-related responsibilities as per the project requirement.

At Alstom, we understand transport networks and what moves people. From high-speed trains, metros, monorails, and trams, to turnkey systems, services, infrastructure, signalling and digital mobility, we offer our diverse customers the broadest portfolio in the industry. Every day, 80,000 colleagues lead the way to greener and smarter mobility worldwide, connecting cities as we reduce carbon and replace cars Your future role Take on a new challenge and apply your user interface and full-stack development expertise in a new cutting-edge field. You’ll work alongside dynamic and innovative teammates. You'll play a pivotal role in designing and developing the UI for our Data Platform, ensuring seamless user experiences. Day-to-day, you’ll work closely with teams across the business (IoT experts, data scientists, software engineers, data architects, API architects), develop scalable and user-friendly solutions, and much more. You’ll specifically take care of creating interactive dashboards and integrating REST APIs, but also designing technical solutions for both cloud-enabled and on-premise platforms. We’ll look to you for: Creating user-friendly and scalable UI solutions using React, Angular JS, HTML, and JavaScript, adhering to established UI design patterns Integrating REST APIs to ensure seamless communication between front-end and back-end services Developing and implementing interactive charts and dashboards to visualize data effectively Designing and building technical solutions for both cloud-enabled (Azure) and on-premise platforms Defining strategies for long-term efficient software platform upgrades and maintenance Writing and maintaining comprehensive technical documentation, including architectural designs for UI interfaces Utilizing Azure services and tools effectively, including Azure Functions, Azure App Service, Azure Storage, and Azure DevOps for CI/CD practices Designing and maintaining highly available and distributed applications, ensuring optimal user experience and performance Participating in all aspects of agile software development, including design, implementation, and deployment All about you We value passion and attitude over experience. That’s why we don’t expect you to have every single skill. Instead, we’ve listed some that we think will help you succeed and grow in this role: Bachelor's or Master’s degree in Computer Science, Software Engineering, or a related field 5-10 years of experience in UI development with a strong emphasis on full-stack capabilities Proficiency in React, Angular JS, HTML, JavaScript, and UI design patterns Experience with REST API integrations and data visualization using charts Knowledge of container technologies such as Docker and Kubernetes (preferred) Familiarity with Azure services and tools like Azure Functions, Azure App Service, and Azure DevOps Strong understanding of agile software development practices Things you’ll enjoy Join us on a life-long transformative journey – the rail industry is here to stay, so you can grow and develop new skills and experiences throughout your career. You’ll also: Enjoy stability, challenges, and a long-term career free from boring daily routines Work with new security standards for rail signalling Collaborate with transverse teams and helpful colleagues Contribute to innovative projects Utilise our flexible and inclusive working environment Steer your career in whatever direction you choose across functions and countries Benefit from our investment in your development through award-winning learning Progress towards leadership or specialized technical roles Benefit from a fair and dynamic reward package that recognizes your performance and potential, plus comprehensive and competitive social coverage (life, medical, pension) You don’t need to be a train enthusiast to thrive with us. We guarantee that when you step onto one of our trains with your friends or family, you’ll be proud. If you’re up for the challenge, we’d love to hear from you! Important to note As a global business, we’re an equal-opportunity employer that celebrates diversity across the 63 countries we operate in. We’re committed to creating an inclusive workplace for everyone. Job Segment: User Experience, Cloud, Computer Science, Front End, Developer, Technology

The group you ll be a part of In the Global Products Group, we are dedicated to excellence in the design and engineering of Lam s etch and deposition products. We drive innovation to ensure our cutting-edge solutions are helping to solve the biggest challenges in the semiconductor industry. The impact you ll make Join Lam as a Data Scientist, where youll design, develop, and program methods to analyze unstructured and diverse big data into actionable insights. Youll develop algorithms and automated processes to evaluate large data sets from disparate sources. Your expertise in generating, interpreting, and communicating actionable insights enables Lam to make informed and data-driven decisions. What you ll do Who we re looking for Typically requires a minimum of 12 years of related experience with a Bachelor s degree; or 8 years and a Master s degree; or a PhD with 5 years experience; or equivalent experience. Preferred qualifications Our commitment We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results. Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Companys intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees. Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories On-site Flex and Virtual Flex. On-site Flex you ll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. Virtual Flex you ll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.

We are looking to add an experienced and enthusiastic Lead Data Scientist to our Jet2 Data Science team in India. Reporting to the Data Science Delivery Manager , the Lead Data Scientist is a key appointment to the Data Science Team , with responsibility for executing the data science strategy and realising the benefits we can bring to the business by combining insights gained from multiple large data sources with the contextual understanding and experience of our colleagues across the business. In this exciting role, y ou will be joining an established team of 40+ Data Science professionals , based across our UK and India bases , who are using data science to understand, automate and optimise key manual business processes, inform our marketing strategy, and ass ess product development and revenue opportunities and optimise operational costs. As Lead Data Scientist, y ou will have strong experience in leading data science projects and creating machine learning models and be able t o confidently communicate with and enthuse key business stakeholders . A typical day in your role at Jet2TT: A lead data scientist would lead a team of data science team Lead will be responsible for delivering & managing day-to-day activities The successful candidate will be highly numerate with a statistical background , experienced in using R, Python or similar statistical analysis package Y ou will be expected to work with internal teams across the business , to identify and collaborate with stakeholders across the wider group. Leading and coaching a group of Data Scientists , y ou will plan and execute the use of machine learning and statistical modelling tools suited to the identified initiative delivery or discovery problem identified . You will have strong ability to analyse the create d algorithms and models to understand how changes in metrics in one area of the business could impact other areas, and be able to communicate those analyses to key business stakeholders. You will identify efficiencies in the use of data across its lifecycle, reducing data redundancy, structuring data to ensure efficient use of time , and ensuring retained data/information provides value to the organisation and remains in-line with legitimate business and/or regulatory requirements. Your ability to rise above group think and see beyond the here and now is matched only by your intellectual curiosity. Strong SQL skills and the ability to create clear data visualisations in tools such as Tableau or Power BI will be essential . They will also have experience in developing and deploying predictive models using machine learning frameworks and worked with big data technologies. As we aim to realise the benefits of cloud technologies, some familiarity with cloud platforms like AWS for data science and storage would be desirable. You will be skilled in gathering data from multiple sources and in multiple formats with knowledge of data warehouse design, logical and physical database design and challenges posed by data quality. Qualifications, Skills and Experience (Candidate Requirements): Experience in leading small to mid-size data science team Minimum 7 years of experience in the industry & 4+ experience in data science Experience in building & deploying machine learning algorithms & detail knowledge on applied statistics Good understanding of various data architecture RDBMS, Datawarehouse & Big Data Experience of working with regions such as US, UK, Europe or Australia is a plus Liaise with the Data Engineers, Technology Leaders & Business Stakeholder Working knowledge of Agile framework is good to have Demonstrates willingness to learn Mentoring, coaching team members Strong delivery performance, working on complex solutions in a fast-paced environment

We are looking for a Data Scientist who will support building AI tools for customers The candidate should be skilled at using large data sets to find opportunities for product and process optimization The candidate must have a proven ability to drive business results with their databased insights The candidate must be comfortable working with a wide range of stakeholders and functional teams Primary Skills Python, AI, ML (Machine Learning) Gen AI Generative AI + RAG, NLP, LLM, Deep Learning, Computer Vision, AWS, Cloud Or Azure Open AI (Any Cloud) Experience- 5 to 16 Years Location - Pune If anyone is interested please share your updated resume on my email id - Devyani.Pillai2@ltimindtree.com

By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge. Job Description: The Future Begins Here: At Takeda, we are leading digital evolution and global transformation. By building innovative solutions and future-ready capabilities, we are meeting the need of patients, our people, and the planet. Bengaluru, the city, which is India’s epicenter of Innovation, has been selected to be home to Takeda’s recently launched Innovation Capability Center. We invite you to join our digital transformation journey. In this role, you will have the opportunity to boost your skills and become the heart of an innovative engine that is contributing to global impact and improvement. At Takeda’s ICC we Unite in Diversity: Takeda is committed to creating an inclusive and collaborative workplace, where individuals are recognized for their backgrounds and abilities they bring to our company. We are continuously improving our collaborators journey in Takeda, and we welcome applications from all qualified candidates. Here, you will feel welcomed, respected, and valued as an important contributor to our diverse team. The Opportunity: As a Data Scientist, you will have the opportunity to apply your analytical skills and expertise to extract meaningful insights from vast amounts of data. We are currently seeking a talented and experienced individual to join our team and contribute to our data-driven decision-making process. Objectives: As a Salesforce Data Cloud, EINSTEIN, Agentforce Software Engineer, you'll combine technical skills on Salesforce Data cloud, Agentforce(GENETIC AI) ,business acumen and development qualities to build solutions that enable transformative capabilities within Takeda. You will support the Platform Owner in onboarding and facilitating the effective utilization of these platforms. You will play a key role in developing and building GENAI use cases leveraging LLM(Open-AI, chatGpt4.0 etc), Salesforce Data cloud, EINSTEIN and Agentforce . Key Responsibilities: Act as the technical developer for building agentic UI experience for our commercial and medical users Clarification of technical details in backlog items and technical design and build of backlog items. Set standards & best practices within capability, and encourage adherence to those. Proactively address any risks & issues together with the team, and raise to program/portfolio oversight, as required Ensure appropriate level of technical documentation. Cross-pollination of applicable standards & practices between teams. Discussion on business requirements with stakeholders. Pro-active suggestions of new features or tools. Alignment & communication with other service lines on overarching practices & approaches. Ensure re-useability of features within business functions. Build and optimize generative AI applications using models like GPT, LLaMA, Gemini, OpenAI or custom models Create effective prompts and fine-tune models for specific domains, ensuring high accuracy and relevance. Develop APIs, microservices, and integrate generative AI models into production environments. Collect, clean, and preprocess datasets for model training and evaluation. Conduct experiments with various model architectures, hyperparameters, and training strategies to enhance performance. Work closely with product managers, data scientists, and engineers to define requirements and deliver AI-powered solutions. Implement AI governance, bias detection, and responsible AI practices in accordance with ethical and regulatory standards. Keep up with the latest research and advancements in generative AI, NLP, and multimodal AI technologies. Should understand capabilities of salesforce agentforce and datacloud. EDUCATION, BEHAVIOURAL COMPETENCIES AND SKILLS: Bachelor’s degree in computer science or a related study, or equivalent experience 3+ years of relevant professional experience in working in native UI/UX capabilities(react.js. HTML. CSS) Strong understanding of UI Framework(Bootstrap, Material UI, Semantic UI) Experience in salesforce data cloud and Agentforce, Proficiency in Python: , TensorFlow, PyTorch, or similar ML frameworks. Experience with Large Language Models (LLMs): , transformers: , and generative architectures: Knowledge of prompt engineering: and fine-tuning techniques: . Familiarity with APIs: , REST, and microservice development. Experience in Agile development using agile methods like Scrum and/or Kanban Excellent oral and written communication skills, business acumen, and enterprise knowledge. Strong experience in design or in implementing solutions or products and preferable experience in quality improvement. Understand design thinking and can explain and convince stakeholders. Understands pharma and experience working in AI space with pharma customers Work with virtual/agile teams in different locations, aligning and adapting different work, culture, and communication styles Proficiency in English in both verbal and written communication is a must. WHAT TAKEDA CAN OFFER YOU: Takeda is certified as a Top Employer, not only in India, but also globally. No investment we make pays greater dividends than taking good care of our people. At Takeda, you take the lead on building and shaping your own career. Joining the ICC in Bengaluru will give you access to high-end technology, continuous training and a diverse and inclusive network of colleagues who will support your career growth. BENEFITS: It is our priority to provide competitive compensation and a benefit package that bridges your personal life with your professional career. Amongst our benefits are Competitive Salary + Performance Annual Bonus Flexible work environment, including hybrid working Comprehensive Healthcare Insurance Plans for self, spouse, and children Group Term Life Insurance and Group Accident Insurance programs Health & Wellness programs including annual health screening, weekly health sessions for employees. Employee Assistance Program 3 days of leave every year for Voluntary Service in additional to Humanitarian Leaves Broad Variety of learning platforms Diversity, Equity, and Inclusion Programs Reimbursements – Home Internet & Mobile Phone Employee Referral Program Leaves – Paternity Leave (4 Weeks) , Maternity Leave (up to 26 weeks), Bereavement Leave (5 calendar days) ABOUT ICC IN TAKEDA: Takeda is leading a digital revolution. We’re not just transforming our company; we’re improving the lives of millions of patients who rely on our medicines every day. As an organization, we are committed to our cloud-driven business transformation and believe the ICCs are the catalysts of change for our global organization. Locations: IND - Bengaluru Worker Type: Employee Worker Sub-Type: Regular Time Type: Full time

Proud to share LSEG in the India is Great Place to Work certified (Jun ’25 – Jun ’26). Learn more about life and purpose of our company directly from India colleagues’ video: Bengaluru, India | Where We Work | LSEG LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions. Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. A Data Scientist applies analytical, statistical, and computational techniques to collect, clean, analyze, extract insights from data and support data-driven decision-making. This role involves working with large-scale datasets to build models, uncover trends, and collaborate with cross-functional teams to improve digital products and services. Supports data science initiatives by applying analytical and technical expertise to solve product and platform-related challenges. Collaborates with sales order management teams, technology teams, and business stakeholders to translate requirements into scalable data science solutions Writes efficient, maintainable production-ready code and partners with technology teams to deploy models and data pipelines into live environments. Develops machine learning models and data-driven solutions that improve system performance, user engagement, or operational efficiency. Problem Solving – Identifies technical and analytical challenges in digital systems, explores multiple approaches, and selects optimal solutions to improve product outcomes. Artificial Intelligence Ethics – Applies ethical principles to ensure fairness, transparency, and accountability in AI-driven features and data usage. Programming – Develops and maintains code using Python, R, and/or SQL to support data processing, analysis, and model development. Data Analysis – Analyzes structured and unstructured data to uncover patterns, trends, and insights that inform product and business decisions. Data Wrangling – Cleans, transforms, and prepares raw data from various sources for analysis and modeling. Statistics – Applies statistical techniques to validate hypotheses, measure feature impact, and support experimentation. Algorithms – Implements machine learning algorithms for use in cases such as classification, regression, clustering, or forecasting. Communication – Translates complex data findings into clear narratives and visualizations using tools like Power BI, tailored to technical and non-technical audiences. Business Understanding – Aligns data science work with product goals, user needs, and business KPIs to maximize impact. Automation – Utilizes tools such as Power-BI, Power Automate to streamline data workflows and operational processes. Research – Explores emerging tools, techniques, and methodologies to enhance the effectiveness and scalability of data science solutions. Metrics Creation – Designs and monitors performance metrics to evaluate the success of models, features, and business initiatives. LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions. Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject . If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

Job Information Date Opened 07/23/2025 Job Type Full time Work Experience 5-8 years Industry Research & Development City Bangalore State/Province Karnataka Country India Zip/Postal Code 560001 Job Description At Ennoventure, we are redefining the fight against counterfeit goods with our groundbreaking technology. Backed by key investors such as Fenice Investment Group and Tanglin Venture Partners, we are ready to embark on the next phase of our journey. Our aim? To build a world where authenticity reigns, ensuring every product and experience is genuine. Here, innovation moves fast, collaboration fuels success, and your growth isn’t just encouraged—it’s inevitable. As a Data Scientist, you will lead research and development efforts in computer vision, design and implement state-of-the-art deep learning algorithms, and work closely with engineering and product teams to deploy scalable solutions in the production environment. What will you do? Take full ownership of managing and delivering data science projects, from initial concept to deployment, ensuring alignment with business goals and timelines. Design, develop and optimize AI/ML models (e.g., object detection, segmentation, and synthetic data generation) using frameworks such as PyTorch and TensorFlow. Collaborate with ML Engineers to integrate models into production systems on cloud platforms (AWS, GCP, Azure) Build and maintain robust data pipelines, ensuring data quality and repeatability. Evaluate model performance using relevant performance metrics to achieve target performance. Analyzing large datasets to extract insights, identify trends, and make data-driven decisions that support business strategies. Document research findings and present the project updates to cross-functional teams, to guide decision-making process. Stay updated with the latest advancements in computer vision and machine learning to enhance the effectiveness of algorithms and models. Requirements What do we look for at Ennoventure? Ph.D. or Master’s degree in Computer Science , Data Science, Statistics, Mathematics, or a related field Minimum of 4+ years of hands-on work experience in computer vision and machine learning roles. Proven track record of implementing AI/ML algorithms and deploying them in a production environment. Experience in building and maintaining complex data pipelines for large datasets Strong programming skills in Python and familiarity with ML libraries (e.g., TensorFlow, PyTorch). Deep understanding of machine learning algorithms, data processing techniques, and statistical methods. Expertise in big data technologies and cloud platforms (e.g., AWS, Google Cloud). Excellent problem-solving abilities, strategic thinking, and attention to details. Demonstrate ability to collaborate effectively with cross-functional teams, including engineers and product managers. Strong written and verbal communication skills; ability to convey complex technical concepts clearly to nontechnical stakeholders. Good to have: Peer- reviewed publications in top-tier conference or journals Experience with real-time systems or edge-device deployments Familiarity with MLOps best practices (CI/CD, Jenkins, Docker) Benefits What do we offer? We believe that our people are the driving force behind our success, fueling big ambitions with bigger impact. We’re building more than just a workplace, we’re crafting a space where everyone feels seen, heard, and unstoppable. Here, you don’t just thrive, you grow, innovate, and leave a mark that matters. That’s why we’re committed to equipping you with the best: a Total Rewards Policy that integrates- Pay: A Competitive Salary that reflects your talent and drive! Financial Reward: Performance-based Rewards that recognize your impact. Well-being: Comprehensive Health Insurance & Mental Health Programs to keep you at your best! Learning: An ongoing investment in you and your skills. Personalized Development: Self-growth plans crafted to match your performance and career aspirations. Compensation Reviews: Regular reviews to ensure your value aligns with market trends.

We are urgently hiring for Senior Data Scientist with Biz2x at Noida As a Biz2x Data Scientist, you will shape the company's data-centric culture, work closely with our engineering team to develop our analytics infrastructure, and collaborate closely with our Chief Risk Officer on developing, validating, and automating our customer conversion and underwriting models While a background in financial services is not required, you must be passionate about tackling complex data challenges for the benefit of small and medium businesses everywhere Job Responsibility: - Drive the ongoing advancement and refinement of Biz2Credit's credit decisioning & pricing model optimizing risk and return while dramatically reducing decision cycle times Continuously evaluate alternative data sources and structures to document and improve the efficacy of our customer conversion models and processes Harness the power of Biz2Credit's technology to proactively identify emerging risks as well as opportunities with our customers Play a key role in the design and implementation of ongoing operational and risk reporting and analytics Work on data projects and proposals involving Biz2Credit's financial services partners worldwide (banks, non-banks, debt investors, equity investors and others) to analyze, classify and visualize credit-related data Perform ad hoc analyses on customer, business, and portfolio trends to generate actionable insights for internal and external stakeholders Manage multiple projects and priorities while delivering accurate & timely results in a fastpaced environment Requirements Degree in Statistics, Applied Mathematics, Engineering, Computer Science or other quantitative fields from leading university; Advanced degree preferred 3-6 years of experience in applied data science or machine learning roles Hands-on experience with LLMs and GenAI applications Expertise in Python and ML frameworks such as TensorFlow, PyTorch, Scikit-learn Strong experience in deep learning, NLP, and generative models (e-g , VAEs, GANs, Diffusion models) Experience with prompt engineering, fine-tuning, RAG (Retrieval-Augmented Generation), or model distillation Proficiency in SQL, data wrangling, and working with large datasets Familiarity with MLOps tools (e-g , MLflow, Airflow, Kubeflow) and cloud platforms (AWS/GCP/Azure) Preferred Qualifications Published work in ML/AI journals or major conferences (NeurIPS, ICML, ACL, CVPR, etc) Experience building and deploying LLM-powered applications in production Background in reinforcement learning, time series forecasting, or causal inference Understanding data privacy, model fairness, and ethical AI consideration

Transport is at the core of modern society Imagine using your expertise to shape sustainable transport and infrastructure solutions for the futureIf you seek to make a difference on a global scale, working with next-gen technologies and the sharpest collaborative teams, then we could be a perfect match What You Will Do You will work in agile teams through good collaboration with our colleagues in Technology development all around the world You will lead the team and be responsible for understanding customer usage and performance of our products as well as understand needs of our internal data consumers for providing solutions throughout entire product life cycle, from idea investigation and concept evaluation to industrialization and to aftermarket and maintenance You will extract insights, make meaningful interpretations, recommendations and eventually predictions from the Data available from various sources to support our endeavour in moving towards Data Driven Powertrain Development You will work on all aspects of Data by combining techniques in Data Engineering, Data Analytics and Data Science You will have the opportunity to analyse and solve real world problems with state-of-the-art techniques like Advanced Analytics, Natural Language Processing (NLP), Machine Learning, and Generative AI on the base of strong statistical knowledge You get the opportunity to follow your Data Driven Models from script to test cell to verification in a truck and eventually to being used by our end customers We have an agile way of working, where each team plan their activities in sprints and deliver solutions together as a team We strive to have an open and honest environment within the teams, where it is easy to ask each other for support when needed The tasks can be either part of a larger project or short tasks to improve products currently in production You will get the opportunity to interact with highly committed colleagues from different cultures You will keep strong communication with project managers, software developers, calibration, simulation and test engineers We hope you will learn as much from us as we will from you Who are you We believe that to be successful in this position, you are a team player, have strong experience in Statistics, Data analytics, machine learning, generative AI and a will to deliver with effective communication techniques (Data story telling) You have a Passion and have demonstrated success in Leading a Team competent in solving real world problems with Data You must have a proven experience in Data modelling Regression, Clustering, Neural Networks, Time series etc and should have used them in solving real-life challenges (prediction, automation, real time optimization etc) You have a strong competence in Presenting Insights gained from Data Analytics through Visualization tools like Power BI You have a willingness to learn and take more responsibility with can-do attitude You will be greatly appreciated in this role if you have demonstrated Predictive analysis and decision-making using Data If you are a Masters Degree holder in Mechanical / Automobile / Electronics / Mechatronics Engineering with fantastic analytical skills, have gained a strong domain understanding in Powertrain Engineering (or Automotive Industry) with proven skills in handling and analysing large set of data to make meaningful interpretations and if you believe that you can work smoothly with Python ( including libraries like NumPy, SciPy, Pandas, TensorFlow) , R, SQL, Git, Azure, Hadoop then you can be a good fit into this role You also have strong experience in applying machine learning methods like supervised, unsupervised and reinforcement learning Experience of working with relational databases, data privacy and understanding of IOT based instrumentation design with additional data logging to build or validate models is a big plus A passion for turning data into knowledge with great visualizations and an experience of working with plant/ component models, and integration of these models into SIL/MIL/HIL evaluations would be an icing on the cake Whats in it for you At Volvo Group Trucks Technology Powertrain Engineering, we have a big emphasis on how Data should Drive our Future Developments in Technology and Engineering We are currently looking for a Senior Data Scientist who can helps us to accelerate in our journey Do you want to be part of a team where you get the chance to contribute to a better environment and sustainable future through Data Driven Decision makingGood, we are ready for you! Ready for the next move If you are curious to explore how we put our words into actions, follow us on LinkedIn and volvogroup, Are you excited to bring your skills and disruptive ideas to the tableWe cant wait to hear from you Apply today! We value your data privacy and therefore do not accept applications via mail Who We Are And What We Believe In We are committed to shaping the future landscape of efficient, safe, and sustainable transport solutions Fulfilling our mission creates countless career opportunities for talents across the groups leading brands and entities Applying to this job offers you the opportunity to join Volvo Group Every day, you will be working with some of the sharpest and most creative brains in our field to be able to leave our society in better shape for the next generation We are passionate about what we do, and we thrive on teamwork We are almost 100,000 people united around the world by a culture of care, inclusiveness, and empowerment Group Trucks Technology are seeking talents to help design sustainable transportation solutions for the future As part of our team, youll help us by engineering exciting next-gen technologies and contribute to projects that determine new, sustainable solutions Bring your love of developing systems, working collaboratively, and your advanced skills to a place where you can make an impact Join our design shift that leaves society in good shape for the next generation

We are looking for a detail-oriented and business-savvy Data Scientist with a strong domain understanding of smart metering and utility data. This role is central to transforming raw metering data into actionable insights and delivering high-quality dashboards and analytics to support operational and strategic decision-making across the organization. The ideal candidate is not only technically proficient in data analysis and visualization but also able to interpret metering patterns, consumption behavior, and system anomalies that impact customer experience, revenue, and operational efficiency Key Responsibilities:  Analyze large volumes of smart metering data (interval consumption, events, read quality, exceptions) from MDM and HES systems.  Identify and interpret consumption patterns, anomalies, and trends that drive actionable insights for business and product teams.  Design and build dashboards, visualizations, and reports using tools.  Collaborate with product managers, operations, and engineering teams to define data requirements and design meaningful analytics views.  Develop rule-based or statistical models for event analytics, billing exceptions, load profiling, and customer segmentation.  Translate complex findings into easy-to-understand business insights and recommendations.  Ensure data consistency, accuracy, and integrity across different systems and reporting layers.  Build automated pipelines to support near real-time and periodic reporting needs

Career Area: Technology, Digital and Data Job Description: Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. Caterpillar Inc. is more than big, heavy equipment and much more than yellow iron. Our products have evolved from simple mechanical workhorses to sophisticated, electronically controlled work-site solutions. This transformation along with our smart factories and our integrated dealer network has wealth of data ready to be harvested to open new markets, fine tune our processes or deliver differentiated customer solutions. Analytics Professionals are the data driven, business professionals providing solutions to all areas across the Caterpillar enterprise. Marketing & Branding Analytics uses quantitative methods such as business simulations, data mining, and advanced statistical techniques to solve marketing challenges for internal and external Caterpillar customers. The Data Scientist II 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. JOB DUTIES: Typical problems include enhancing customer satisfaction by delivering key insights on customer experience, identifying sales, rental, and service opportunities for Caterpillar dealers, determining the principal drivers to maximize marketing return on investment; recommending optimum investment in each marketing channel. 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. Data Scientist 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. The Data Scientist also mentors and develops the capabilities and organizational knowledge of junior data scientists and associates. The Data Scientist 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. Background/Experience: Bachelor’s degree, preferably in AI, Data Science, Computer Science, Statistics or a similar field with quantitative coursework, and 4-5 years of marketing analytics experience utilizing quantitative analysis, a Master’s degree and 2-4 years of experience, or a PhD in one of the associated fields. Strong understanding of machine learning algorithms, data structures, and statistical methods. Experience with deep learning techniques and neural networks Ability to work with large datasets in cloud environment and perform data preprocessing and feature engineering. Proficiency in Python and experience with machine learning frameworks such as TensorFlow or PyTorch. Experience in designing, developing, deploying Machine Learning models using AWS Sage Maker. Preference: GA4(Google analytics) Expertise. Strong understanding of GA4 analytics concepts like channels/medium/source, tracking campaign engagement (UTM), events/sessions interactions etc. Ability to work with large amount of GA4 data, capable of doing in depth analysis on user behaviour , campaign attribution & customer churn and present actionable insights to the business. Posting Dates: July 23, 2025 - July 29, 2025 Caterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply Not ready to apply? Join our Talent Community.

Key Responsibilities • Build Gen AI-enabled solutions using online and offline LLMs, SLMs and TLMs tailored to domain-specific problems. • Deploy agentic AI workflows and use cases using frameworks like LangGraph, Crew AI etc. • Apply NLP, predictive modelling and optimization techniques to develop scalable machine learning solutions. • Integrate enterprise knowledge bases using Vector Databases and Retrieval Augmented Generation (RAG). • Apply advanced analytics to address complex challenges in Healthcare, BFSI and Manufacturing domains. • Deliver embedded analytics within business systems to drive real-time operational insights. Required Skills & Experience • 3–5 years of experience in applied Data Science or AI roles. • Experience working in any one of the following domains: BFSI, Healthcare/Health Sciences, Manufacturing or Utilities. • Proficiency in Python, with hands-on experience in libraries such as scikit-learn, TensorFlow • Practical experience with Gen AI (LLMs, RAG, vector databases), NLP and building scalable ML solutions. • Experience with time series forecasting, A/B testing, Bayesian methods and hypothesis testing. • Strong skills in working with structured and unstructured data, including advanced feature engineering. • Familiarity with analytics maturity models and the development of Analytics Centre of Excellence (CoE’s). • Exposure to cloud-based ML platforms like Azure ML, AWS SageMaker or Google Vertex AI. • Data visualization using Matplotlib, Seaborn, Plotly; experience with Power BI is a plus. What We Look for (Values & Behaviours) • AI-First Thinking – Passion for leveraging AI to solve business problems. • Data-Driven Mindset – Ability to extract meaningful insights from complex data. • Collaboration & Agility – Comfortable working in cross-functional teams with a fast-paced mindset. • Problem-Solving – Think beyond the obvious to unlock AI-driven opportunities. • Business Impact – Focus on measurable outcomes and real-world adoption of AI. • Continuous Learning – Stay updated with the latest AI trends, research and best practices.

we are hiring Lead Data Scientist !!! As a seasoned Lead Data Scientist , you will join our team in Kolkata and play a pivotal role in driving the development and implementation of advanced data and AI solutions. Responsibilities Lead the design and implementation of generative AI solutions, leveraging NLP, text analytics, sentiment analysis, transformer models, gen-AI, LLM, and vector databases to drive innovation and business impact. Provide strategic guidance and mentorship to the team, fostering a culture of continuous learning and professional development in AI technologies. Collaborate with cross-functional teams to identify and prioritize AI opportunities, aligning with business objectives and operational needs. Develop and execute gen-AI roadmaps, ensuring the successful delivery of gen-AI projects/solutions from ideation to deployment. Stay abreast of the latest advancements in gen-AI and data science, evaluating emerging technologies and best practices to enhance our AI capabilities. Partner with stakeholders to understand their requirements and translate them into scalable gen-AI solutions, driving tangible value for the organization. Lead and contribute to AI research initiatives, publishing findings and representing the organization in industry forums and events. Oversee the design and optimization of gen-AI algorithms, models, and frameworks, ensuring robustness, efficiency, and accuracy. Champion the adoption of AI ethics and governance principles, embedding responsible AI practices into our solutions and processes. Cultivate a collaborative and inclusive work environment, promoting knowledge sharing and cross-team collaboration to achieve AI excellence. Requirements : Proven experience as a Data Scientist for minimum 5 years. Solid understanding of machine learning. Knowledge of data management and visualization techniques. Good knowledge of R, Python and MATLAB Experience with SQL and NoSQL databases Strong project management skills and proven ability working in cross-functional teams and mentoring talent. Job Types: Full-time, Permanent Pay: ₹800,000.00 - ₹1,500,000.00 per year Benefits: Provident Fund Schedule: Day shift Monday to Friday Experience: Data science: 4 years (Preferred) Work Location: In person

Job Title: Data Scientist / Machine Learning Specialist Location: Hyderabad (Hybrid Model) Experience: 3 to 5 Years Compensation: Up to ₹30 LPA Joining: Immediate or Short Notice Preferred About the Role: We are looking for a highly skilled and motivated Machine Learning Specialist / Data Scientist with a strong foundation in data science and a deep understanding of clinical supply chain or supply chain operations. This individual will play a critical role in developing predictive models, optimizing logistics, and enabling data-driven decision-making within our clinical trial supply chain ecosystem. Key Responsibilities: Design, develop, and deploy machine learning models for demand forecasting, inventory optimization, and supply chain efficiency Analyze clinical trial and logistics data to uncover insights and enable proactive planning Collaborate with cross-functional teams including clinical operations, IT, and supply chain to integrate ML solutions into workflows Build interactive dashboards and tools for real-time analytics and scenario modeling Ensure models are scalable, maintainable, and compliant with regulatory frameworks (e.g., GxP, 21 CFR Part 11) Stay up to date with the latest advancements in ML/AI and bring innovative solutions to complex clinical supply challenges Required Qualifications: Master’s or Ph.D. in Computer Science, Data Science, Engineering, or a related field 3–5 years of hands-on experience in machine learning, data science, or AI (preferably in healthcare or life sciences) Proven experience with clinical or supply chain operations such as demand forecasting, IRT systems, and logistics planning Proficiency in Python, R, SQL, and ML frameworks like scikit-learn, TensorFlow, or PyTorch Solid knowledge of statistical modeling, time series forecasting, and optimization techniques Strong analytical mindset and excellent communication skills Ability to thrive in a fast-paced, cross-functional environment Preferred Qualifications: Experience working with clinical trial systems and data (e.g., EDC, CTMS, IRT) Understanding of regulatory requirements in clinical research Familiarity with cloud platforms such as AWS, Azure, or GCP Exposure to MLOps practices for model deployment and monitoring

We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. For more information, visit www.exlservice.com. Job Summary: We are looking for a results-driven Data Scientist with a strong foundation in SQL and Python , coupled with hands-on experience in AI/ML and exposure to Generative AI (GenAI) technologies. The ideal candidate will work on developing predictive models, building data pipelines, and experimenting with GenAI tools to solve business challenges and enhance decision-making. Key Responsibilities: Design and implement AI/ML models for a variety of business use cases, including prediction, classification, clustering, and personalization. Extract, clean, and manipulate large datasets using SQL and Python for model development and analysis. Apply and experiment with Generative AI techniques (e.g., LLMs, text generation, summarization, prompt engineering) for emerging business needs. Build scalable data pipelines and automate data workflows. Work collaboratively with cross-functional teams to define project goals and deliver actionable insights. Communicate analytical results and technical concepts to both technical and non-technical stakeholders. Stay current with advancements in AI/ML and GenAI technologies and frameworks. Required Skills: Strong programming skills in Python with experience in libraries like Pandas, NumPy, scikit-learn, TensorFlow, or PyTorch . Proficiency in SQL for data extraction, joins, and optimization. Solid understanding of machine learning algorithms and data science best practices. Experience handling structured and unstructured data. Exposure to Generative AI tools and frameworks (e.g., OpenAI APIs, Hugging Face, LangChain). Familiarity with data visualization tools and cloud platforms (AWS, GCP, Azure) is a plus.

Senior Data Scientist Req number: R5797 Employment type: Full time Worksite flexibility: Hybrid Who we are CAI is a global technology services firm with over 8,500 associates worldwide and a yearly revenue of $1 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right—whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise. Job Summary We’re searching for an experienced Senior Data Scientist who excels at statistical analysis, feature engineering, and end to end machine learning operations. Your primary mission will be to build and productionize demand forecasting models across thousands of SKUs, while owning the full model lifecycle—from data discovery through automated re training and performance monitoring. This is a Full-time and Hybrid position. Job Description What You’ll Do Advanced ML Algorithms: Design, train, and evaluate supervised & unsupervised models (regression, classification, clustering, uplift). Apply automated hyperparameter optimization (Optuna, HyperOpt) and interpretability techniques (SHAP, LIME). Data Analysis & Feature Engineering: • Perform deep exploratory data analysis (EDA) to uncover patterns & anomalies. Engineer predictive features from structured, semistructured, and unstructured data; manage feature stores (Feast). Ensure data quality through rigorous validation and automated checks. TimeSeries Forecasting (Demand): • Build hierarchical, intermittent, and multiseasonal forecasts for thousands of SKUs. Implement traditional (ARIMA, ETS, Prophet) and deeplearning (RNN/LSTM, TemporalFusion Transformer) approaches. Reconcile forecasts across product/category hierarchies; quantify accuracy (MAPE, WAPE) and bias. MLOps & Model Lifecycle: • Establish model tracking & registry (MLflow, SageMaker Model Registry). Develop CI/CD pipelines for automated retraining, validation, and deployment (Airflow, Kubeflow, GitHub Actions). Monitor data & concept drift; trigger retuning or rollback as needed. Statistical Analysis & Experimentation: • Design and analyze A/B tests, causal inference studies, and Bayesian experiments. Provide statisticallygrounded insights and recommendations to stakeholders. Collaboration & Leadership: Translate business objectives into datadriven solutions; present findings to exec & nontech audiences. Mentor junior data scientists, review code/notebooks, and champion best practices. What You'll Need M.S. in Statistics (preferred) or related field such as Applied Mathematics, Computer Science, Data Science. 5+ years building and deploying ML models in production. Expertlevel proficiency in Python (Pandas, NumPy, SciPy, scikitlearn), SQL, and Git. Demonstrated success delivering largescale demandforecasting or timeseries solutions. Handson experience with MLOps tools (MLflow, Kubeflow, SageMaker, Airflow) for model tracking and automated retraining. Solid grounding in statistical inference, hypothesis testing, and experimental design. Experience in supplychain, retail, or manufacturing domains with highgranularity SKU data. Familiarity with distributed data frameworks (Spark, Dask) and cloud data warehouses (Big Query, Snowflake). Knowledge of deeplearning libraries (PyTorch, TensorFlow) and probabilistic programming (PyMC, Stan). Strong datavisualization skills (Plotly, Dash, Tableau) for storytelling and insight communication. Physical Demands This role involves mostly sedentary work, with occasional movement around the office to attend meetings, etc. Ability to perform repetitive tasks on a computer, using a mouse, keyboard, and monitor. Reasonable accommodation statement If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to application.accommodations@cai.io or (888) 824 – 8111.

Exp-7+ Years Relevant Notice Period- Immediate Lead Data Scientist Relevant Experience: 7+ Years expertise in Machine Learning (ML), Natural Language Processing (NLP), Generative AI (GenAI), and Deep Learning (DL). Mandatory Skills 5+ years of work experience in writing code in Python Experience in using various Python libraries like Pandas, NumPy Experience in writing good quality code in Python and code refactoring techniques (e.g., IDEs – PyCharm, Visual Studio Code; Libraries – Pylint, pycodestyle, pydocstyle, Black) Strong experience on AI assisted coding experience. AI assisted coding for existing IDE's like vscode. Experimented multiple AI assisted tools and done research around it. Deep understanding of data structures, algorithms, and excellent problem-solving skills Experience in Python, Exploratory Data Analysis (EDA), Feature Engineering, Data Visualisation • Machine Learning libraries like Scikit-learn, XGBoost • Experience in CV, NLP or Time Series. Experience in building models for ML tasks (Regression, Classification) Should have Experience into LLM, LLM Fine Tuning, Chatbot, RAG Pipeline Chatbot, LLM Solution, Multi Modal LLM Solution, GPT, Prompt, Prompt Engineering, Tokens, Context Window, Attention Mecanis