1452 Data Scientist Jobs - Page 22

Greetings From Mind Pro Technologies Pvt ltd (www.mindprotech.com) Job Title : Data Scientist Work Location : Karur (Tamil Nadu) or Dharwad (Karnataka ) Np : 15days or Less JOB DESCRIPTION: Must have At least 4+ Years of experience in Python with Data Science. Must have worked on at least one Live project. Experience in relevant field such as Statistics, Computer Science or Applied Math or Operational Research. Must have Masters in (Maths/Statistics or Applied Mathematics/Machine Learning etc.) History of successfully performing customer implementations Strong customer facing skills, and previous consulting experience. Experience of handling high frequency streaming data for real time analysis and reporting. Familiarity with - Natural Language Processing, Statistical Analysis (distribution analysis, correlation, variance, deep learning. Experience in tools like AWS, IBM Watson is a plus. Experience with open source technologies is a must. Excellent communication Ability to lead & build strong teams Ability to work in an ambiguous environment Desired Skills and Experience Languages/Tools: Python/R. Approaches: Machine Learning Concepts: Supervised ANN, Bayesian, Gaussian, Vector Quantization, Logistic Model, Statistical, Predictive Modeling, Minimum Message Length, SVM, Random Forest, Ensembles, ANOVA, Decision Trees, Hidden Markov Models Unsupervised ANN, ARL, Clustering Hierarchical, Cluster Analysis Reinforcement Gen AI, LLM, LSTM, RNN, CNN, KNN Big Data (Good to have): Hadoop /Kafka / Storm / Spark streaming OS: Linux, Windows 32/64 bits. Note: should know supervised and unsupervised learning, semi-supervised learning, neural networks concepts, and how ML algorithms works with training and testing data. Experience on particular data set to train, test and roll-out for production use Tool sets : Python, R, MATLAB or any AI frame work, Neural network, Gen AI, LLM Contact Details: Recruitment Team Mindpro Technologies Pvt Ltd ( www.mindprotech.com ) +91-04324-240904 / +91-9600672304

About The Advanced Analytics Team The central Advanced Analytics team at the Abbott Established Pharma Division’s (EPD) headquarters in Basel helps define and lead the transformation towards becoming a global, data-driven company with the help of data and advanced technologies (e.g., Machine Learning, Deep Learning, Generative AI, Computer Vision). To us, Advanced Analytics is an important lever to reach our business targets, now and in the future; It helps differentiate ourselves from our competition and ensure sustainable revenue growth at optimal margins. Hence the central AA team is an integral part of the Strategy Management Office at EPD that has a very close link and regular interactions with the EPD Senior Leadership Team. Primary Job Function With the above requirements in mind, EPD is looking to fill a role of a Data Scientist to build and refine effective Data Science Solutions for Abbott EPD world-wide. Core Job Responsibilities The Data Scientist rapidly navigates from identifying priorities and helping to generate ideas to implementing solutions. They Participate/drive data collection, cleaning, analysis and interpretation (EDA). Collaborate with the business partner and product owners to ideate on solutions to challenging problems. Generate insightful visualizations to communicate findings. Carry out model selection, validation and possible ways for deployment (in collaboration with the engineering team). Write high quality code with possibility of deployment in mind. Share the learnings and findings with other data scientists contributing to the collaborative environment. Collaborate with Sr. Data Scientists and take full responsibility for analysis and modeling tasks. Build effective and efficient AA solutions to business needs, leveraging available market resources as much as possible. Keep himself/herself committed to continuous learning about the latest trends and technologies. Work closely with the Product Owners and the Engineering team to ensure delivery of the Data Science part of the projects within time, cost and quality. Collaborate with external vendors, evaluating their capabilities and ensuring their alignment with data science standards and project requirements. Continuously engage in hands-on data analysis, modeling, and prototyping DS frameworks to deliver high-quality outputs. Supervisory/Management Responsibilities Direct Reports: None. Indirect Reports: None. Position Accountability/Scope The Data Scientist is responsible for delivering targeted business impact per initiative in collaboration with key stakeholders and identifying next steps/future impactful opportunities. This individual contributor role involves working with cross-functional teams to build innovative solutions for internal business functions across different geographies. Minimum Education Master or PhD in relevant field (e.g., applied mathematics, computer science, engineering, applied statistics) Minimum Experience At least 3-5 years of relevant working experience, ideally in pharma environment Solid experience working on full-life cycle data science; experience in applying data science methods to business problems (experience in the financial/commercial or manufacturing / supply chain areas a plus). Strong experience in e.g., data mining, statistical modelling, predictive modelling, and development of machine learning algorithms Proven problem-solving ability in international settings preferably with developing markets Proven experience in working in cloud environment preferably AWS / Sagemaker Strong experience working on full-life cycle data science; experience in applying data science methods to business problems Practical experience in deploying machine learning solutions Strong understanding of good software engineering principles and best practices Ability to work and lead cross-functional teams to bring business and data science closer together - consultancy experience a plus Intrinsic motivation to guide people and make Advanced Analytics more accessible to a broader range of stakeholders Deep domain expertise in a specific field, such as Artificial Intelligence, Machine Learning, Natural Language Processing, or Computer Vision Strong programming skills in languages such as Python or R, with proficiency in data manipulation, wrangling, and modeling techniques Strong experience building and debugging complex SQL queries Excellent knowledge of statistical techniques, machine learning algorithms, and their practical implementation in real-world scenarios Exceptional communication and presentation skills, with the ability to convey complex concepts and insights to both technical and non-technical stakeholders Proven track record of delivering data-driven solutions that have had a measurable impact on business outcomes Exposure to big data technologies (e.g., Hadoop, Spark) is highly desirable Demonstrated ability to drive the adoption of data science best practices, standards, and methodologies within an organization Fluency in English a must, additional languages a plus Show more Show less

Job Title "Applied Data Scientist at Poiro, based out of Bengaluru - On-site Role" Company Details The best way to predict the future is to invent it. And the best way to invent the future is to get the best minds to work on an idea whose time has come. Poiro (poiro.ai) builds AI systems and agents to supercharge marketing workflows and bring brands closer to consumers. Poiro’s AI systems can be trained on both structured and unstructured marketing data for a brand - from social media content and e-commerce marketplace data to 1st-party customer data - to build a comprehensive knowledge representation of a brand and its category. On top of that, Poiro’s AI agents seamlessly perform data analytics & data science workflows to generate actionable insights and guide marketing execution. Leading brands are using Poiro to - ● Identify content whitespaces, through analysis of social content across their category, and generate highly engaging organic & ad content ● Get tailored creator recommendations that maximize ROI for a particular product and content brief ● Comprehensively audit a creator's on & off-platform behavior to safeguard themselves from commercial and reputation risks And for many more use cases! Poiro is a subsidiary of Evam Labs (www.evamlabs.ai) - a Singapore headquartered holding company with offices in Bangalore and San Jose, building the next generation of high impact AI powered Enterprise Solutions. From Asia, for the World. Evam Labs was founded by ex-founders, academics and investors with over a decade of experience in building data & AI products and scaling companies from 0 to IPO. The founders are IIT/IIM/CMU alumni and have cumulatively raised over $500M+, invested in 30+ startups and hold 20+ patents. The rest of the Evam team comprises alumni of IITs, IIMs, CMU, IISc, NUS with rich experience across multiple industries. Job Roles & Responsibilities - Develop and implement data-driven models using Python, TensorFlow, Large Language Models (LLM), and Scikit-learn to enhance content monetization for creators. - Collaborate with cross-functional teams to analyze and interpret large datasets using NumPy, Pandas, and PySpark. - Design and optimize machine learning algorithms and solutions to improve user engagement and revenue potential. - Explore and integrate AI technologies to support and automate creator monetization pathways. - Monitor model performance and iteratively refine based on business and technical feedback. - Stay updated with the latest advancements in AI and data science to apply innovative solutions at Poiro. Cultural Expectations - Collaborate openly with team members to enhance AI-driven creator content tools - Embrace innovation, continuously exploring and adapting to cutting-edge AI technologies - Respect diverse ideas, fostering a creative and inclusive workplace - Display a proactive mindset in problem-solving and process improvements - Communicate clearly and effectively, contributing to a positive team dynamic - Uphold accountability, meeting project deadlines with precision and reliability Hiring Process Profile Shortlisting Theory/problem-solving and coding/hands-on Resume/experience-based discussion Cultural fit with founders Show more Show less

Job Title: Data Scientist Location: Navi Mumbai Experience: 3-6 Years Duration: Fulltime Job Summary: We are looking for a highly skilled Data Scientist with deep expertise in time series forecasting, particularly in demand forecasting and customer lifecycle analytics (CLV). The ideal candidate will be proficient in Python or PySpark, have hands-on experience with tools like Prophet and ARIMA, and be comfortable working in Databricks environments. Familiarity with classic ML models and optimization techniques is a plus. Key Responsibilities • Develop, deploy, and maintain time series forecasting models (Prophet, ARIMA, etc.) for demand forecasting and customer behavior modeling. • Design and implement Customer Lifetime Value (CLV) models to drive customer retention and engagement strategies. • Process and analyze large datasets using PySpark or Python (Pandas). • Partner with cross-functional teams to identify business needs and translate them into data science solutions. • Leverage classic ML techniques (classification, regression) and boosting algorithms (e.g., XGBoost, LightGBM) to support broader analytics use cases. • Use Databricks for collaborative development, data pipelines, and model orchestration. • Apply optimization techniques where relevant to improve forecast accuracy and business decision-making. • Present actionable insights and communicate model results effectively to technical and non-technical stakeholders. Required Qualifications • Strong experience in Time Series Forecasting, with hands-on knowledge of Prophet, ARIMA, or equivalent – Mandatory. • Proven track record in Demand Forecasting – Highly Preferred. • Experience in modeling Customer Lifecycle Value (CLV) or similar customer analytics use cases – Highly Preferred. • Proficiency in Python (Pandas) or PySpark – Mandatory. • Experience with Databricks – Mandatory. • Solid foundation in statistics, predictive modeling, and machine learning Show more Show less

Job Title: Data Scientist Job Type: Full-time, Contractor Job Summary: We are seeking an innovative and highly skilled Data Scientist to join our customer’s team. In this dynamic role, you will design and deploy advanced Generative AI and LLM solutions, driving impactful real-world applications. Your expertise will directly shape our customer’s AI products, working in a collaborative, forward-thinking environment. Key Responsibilities: Develop, fine-tune, and deploy Large Language Models (LLMs) and Generative AI applications for production environments. Engineer robust RAG (Retrieval Augmented Generation) pipelines utilizing vector stores such as FAISS, Pinecone, or Weaviate. Implement and optimize prompt engineering strategies for enhanced performance of commercial and open-source LLMs (OpenAI, Anthropic, Hugging Face, etc.). Integrate NLP techniques and transformer architectures to boost customer’s product capabilities. Collaborate cross-functionally to define AI-driven product features and recommend technical enhancements. Write clean, efficient Python code while adhering to best practices in code quality and documentation. Communicate technical concepts effectively in both written and verbal forms with stakeholders and team members. Required Skills and Qualifications: Strong programming proficiency in Python for AI/ML projects. Hands-on experience with LLM frameworks such as LangChain or Haystack. Proficient in designing and deploying RAG pipelines, including leveraging vector database technologies (e.g., Redis, FAISS, Pinecone, Weaviate). Deep understanding of NLP fundamentals and transformer models. Demonstrated experience with both commercial and open-source LLMs. Expertise in prompt engineering and embeddings. Exceptional written and verbal communication abilities, with an emphasis on clarity and collaboration. Preferred Qualifications: Experience deploying GenAI applications at scale in production environments. Background in designing customer-facing AI solutions. Prior experience collaborating in hybrid or distributed teams. Show more Show less

CryptoChakra is a leading cryptocurrency analytics and education platform committed to demystifying digital asset markets for traders, investors, and enthusiasts worldwide. By integrating cutting-edge AI-driven predictions, blockchain analytics, and immersive learning modules, we empower users to navigate market volatility with confidence. Our platform combines advanced tools like Python, TensorFlow, and AWS to deliver actionable insights, risk assessments, and educational content that bridge the gap between complex data and strategic decision-making. As a remote-first innovator, we champion accessibility in decentralized finance, fostering a future where crypto literacy is universal. Position: Fresher Data Scientist Intern Remote | Full-Time Internship | Compensation: Paid/Unpaid based on suitability Role Summary Join CryptoChakra’s data science team to gain hands-on experience in transforming raw blockchain data into impactful insights. This role is tailored for recent graduates or students eager to apply foundational skills in machine learning, statistical analysis, and data storytelling to real-world crypto challenges. Key Responsibilities Data Processing: Clean and preprocess blockchain datasets from sources like Etherscan or CoinGecko using Python/R. Predictive Modeling: Assist in building and testing ML models for price forecasting or DeFi trend analysis. Insight Generation: Create visualizations (Tableau, Matplotlib) to simplify complex trends for educational content. Collaboration: Work with engineers and educators to refine analytics tools and tutorials. Documentation: Maintain clear records of methodologies and findings for team reviews. Who We’re Looking For Technical Skills Foundational knowledge of Python/R for data manipulation (Pandas, NumPy). Basic understanding of statistics (regression, hypothesis testing). Familiarity with data visualization tools (Tableau, Power BI) or libraries (Seaborn). Curiosity about blockchain technology, DeFi, or crypto markets. Soft Skills Eagerness to learn and adapt in a fast-paced remote environment. Strong problem-solving mindset and attention to detail. Ability to communicate technical concepts clearly. Preferred (Not Required) Academic projects involving data analysis or machine learning. Exposure to SQL, AWS, or big data tools. Pursuing a degree in Data Science, Computer Science, Statistics, or related fields. What We Offer Mentorship: Guidance from experienced data scientists and blockchain experts. Skill Development: Training in real-world tools like TensorFlow and Tableau. Portfolio Projects: Contribute to live projects featured on CryptoChakra’s platform. Flexibility: Remote work with adaptable hours for students. Show more Show less

Join us as a Data Scientist You’ll design and implement data science tools and methods which harness our data in order to drive market leading purposeful customer solutions We’ll look to you to actively participate in the data community to identify and deliver opportunities to support the bank’s strategic direction through better use of data This is an opportunity to promote data literacy education with business stakeholders supporting them to foster a data driven culture and to make a real impact with your work We're offering this role at associate level What you'll do As a Data Scientist, you’ll bring together statistical, mathematical, machine-learning and software engineering skills to consider multiple solutions, techniques and algorithms to develop and implement ethically sound models end-to-end. We’ll look to you to understand the needs of business stakeholders, form hypotheses and identify suitable data and analytics solutions to meet those needs in order to support the achievement of our business strategy. You’ll also be: Using data translation skills to work closely with business stakeholders to define detailed business questions, problems or opportunities which can be supported through analytics Applying a software engineering and product development lens to business problems, creating, scaling and deploying software driven products and services Working in an Agile way within multi-disciplinary data and analytics teams to achieve agreed project and scrum outcomes Selecting, building, training and testing machine learning models considering model valuation, model risk, governance and ethics, making sure that models are ready to implement and scale Iteratively building and prototyping data analysis pipelines to provide insights that will ultimately lead to production deployment The skills you'll need You’ll need a strong academic background in a STEM discipline such as Mathematics, Physics, Engineering or Computer Science. You’ll have an experience of atleast five years with statistical modelling and machine learning techniques. We’ll also look for financial services knowledge, and an ability to identify wider business impact, risk or opportunities and make connections across key outputs and processes You’ll also demonstrate: The ability to use data to solve business problems from hypotheses through to resolution Experience using Python, Tableau, SQL and software engineering fundamentals Experience of of analytics in fraud prevention and detection Experience of monitoring and maintaining model performance through developing new dashboards and reports, improve existing dashboards and in-house Python packages Experience of exploratory data analysis Good communication skills with the ability to proactively engage with a wide range of stakeholders

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 data science expertise in a cutting-edge field. You’ll work alongside innovative and collaborative teammates. You'll play a key role in shaping Alstom’s next-generation data-driven solutions for the mobility industry. Day-to-day, you’ll work closely with teams across the business (engineering experts, data engineers, DevOps/MLOps engineers, and HMI designers), develop machine learning models, and contribute to the development of proof-of-concept applications in maintenance, operations, energy, and city flow domains. You’ll specifically take care of extracting key insights from mobility data using advanced tools and techniques, but also contribute to building AI/ML software modules to enhance customer performance and experience. We’ll look to you for: Designing and developing data-driven solutions, integrating engineering aspects and evaluating financial impacts Implementing feature selection/extraction methods to improve ML models and derive interpretable insights Building and optimizing machine learning models, including supervised and unsupervised approaches Assessing and enhancing the quality of incoming data and model outputs using appropriate evaluation metrics Collaborating with domain experts to define and meet business requirements Creating reports and explanatory materials to communicate insights effectively Evaluating opportunities from emerging mathematical approaches and data science technologies Applying strong testing and quality assurance practices 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: Degree in computer science or engineering, supplemented by training in data science/ML or related disciplines Excellent knowledge of Python programming Understanding of modern statistics, including time-series and signal processing, text mining, or image processing Experience with Python data science stack (e.g., pandas, scikit-learn, keras, numpy, tensorflow) Strong knowledge of artificial intelligence and machine learning algorithms (e.g., classification, regression, dimensionality reduction, neural networks, deep learning) Experience in building and optimizing supervised and unsupervised ML models Experience with database management (SQL, ElasticSearch, etc.) Proficiency in a LINUX environment (shell scripting) [Optional: Experience in PHM, predictive maintenance, traffic modelling, NLP, video analytics, or sequence mining] [Optional: Familiarity with Git and release management] 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 cutting-edge technologies to revolutionize digital mobility Collaborate with cross-functional teams and supportive colleagues Contribute to innovative projects in the mobility domain 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 programs Progress towards leadership or technical expert 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. Show more Show less

Job Information Date Opened 06/11/2025 Job Type Full time Industry Technology Work Experience 4-5 years City Bangalore South State/Province Karnataka Country India Zip/Postal Code 560102 About Us Lifesight is a fast-growing SaaS company focused on helping businesses leverage data & AI to improve customer acquisition and retention. We have a team of 130 serving 300+ customers across 5 offices in the US, Singapore, India, Australia, and the UK. Our mission is to make it easy for non-technical marketers to leverage advanced data activation and marketing measurement tools that are powered by AI, to improve their performance and achieve their KPIs. Our product is being adopted rapidly globally and we need the best people onboard the team to accelerate our growth. Job Description Job Description: Data Scientist ( 4-6 Years ) Location : Bangalore Company Overview Lifesight is a fast growing SaaS company focused on helping businesses leverage data & AI to improve customer acquisition and retention. We have a team of 130 serving 300+ customers across 5 offices in the US, Singapore, India, Australia and the UK. Our mission is to make it easy for non-technical marketers to leverage advanced data activation and marketing measurement tools that are powered by AI, to improve their performance and achieve their KPIs. Our product is being adopted rapidly globally and we need the best people onboard the team to accelerate our growth. Our unified marketing measurements platform empowers modern marketers to make better decisions using Multi-Touch Attribution , Marketing Mix Modelling , Incrementality Testing , and Causal AI . Position Overview: At Lifesight, we rely on insightful data to power our systems and solutions. We’re seeking a data scientist to deliver insights on a daily basis. The ideal candidate will have mathematical and statistical expertise, along with natural curiosity and a creative mind. While mining, interpreting, and cleaning our data, this person will be relied on to ask questions, connect the dots, and uncover hidden opportunities for realizing the data’s full potential. As part of a team of specialists, the data scientist will “slice and dice” data using various methods and create new visions for the future. Objectives of this role Collaborate with product design and engineering teams to develop anunderstanding of needs. Research and devise innovative statistical models for data analysis and communicate findings to all stakeholders Enable smarter business processes by using analytics for meaningful insights Keep current with technical and industry developments What you’ll do.. Execute analytical experiments to help solve problems across various domains and industries Analyse data for trends and patterns, and interpret data with clear objectives in mind Implement analytical models in production by collaborating with software developers and machine-learning engineers Requirements You are perfect for the role if you have… Statistical Knowledge Understanding of probability theory, distributions and statistical inference Regression analysis (linear, non-linear, multivariate) Time series analysis / forecasting Bayesian statistics Hypothesis testing Experimental design Understanding of overfitting, underfitting, and regularization techniques Machine Learning Supervised learning algorithms Unsupervised learning (clustering, dimensionality reduction) Feature engineering and selection Model evaluation and validation techniques Programming Skills Proficiency in Python or R What’s in it for you... As a team, we are concerned with not only the growth of the company but each other’s personal growth and well-being too. Along with our desire to utilize smart technology and innovative engineering strategies to make people’s lives easier, our team also bonds over our shared love for all kinds of tea, movies & fun-filled Friday events with a prioritizing healthy work-life balance. 1. Working for one of the fastest-growing and successful MarTech companies in times 2. Opportunity to be part of an early member of the core team to build a product from scratch starting from making tech stack choices, driving and influencing the way to simplify building complex products.3. Enjoy working in small teams and a non-bureaucratic environment 4. Enjoy an environment that provides high levels of empowerment and space to achieve your objectives and growth with the organization. 5. Work in a highly profitable and growing organization, with opportunities to accelerate and shape your career. 6. Great benefits - apart from competitive compensation & benefits Above all - a “fun” working environment. Team Vibes & Real SQL for database querying Specialized Knowledge Understanding of causal inference Understanding of adstock, decay, and saturation concepts Cloud computing platforms (e.g., AWS, GCP) Preferred skills and qualifications Bachelor’s degree (or equivalent) in statistics, applied mathematics, or related discipline 4-6 years of experience as a Data Scientist Benefits What’s in it for you... As a team, we are concerned with not only the growth of the company but each other’s personal growth and well-being too. Along with our desire to utilize smart technology and innovative engineering strategies to make people’s lives easier, our team also bonds over our shared love for all kinds of tea, movies & fun-filled Friday events with a prioritizing healthy work-life balance. 1. Working for one of the fastest-growing and successful MarTech companies in times 2. Opportunity to be part of an early member of the core team to build a product from scratch starting from making tech stack choices, driving and influencing the way to simplify building complex products. 3. Enjoy working in small teams and a non-bureaucratic environment 4. Enjoy an environment that provides high levels of empowerment and space to achieve your objectives and growth with the organization. 5. Work in a highly profitable and growing organization, with opportunities to accelerate and shape your career. 6. Great benefits - apart from competitive compensation & benefits Above all - a “fun” working environment.

We’re Hiring – Join Our Growing Data Team! 🚨 Hi LinkedIn Network 👋 We are actively hiring for multiple Data Science and Data Engineering roles. If you’re passionate about data and want to work on impactful projects with a collaborative team, check out the openings below: 🔹 Sr. Data Scientist 📍 Experience: 5+ years 🔍 Must have: Strong experience in Machine Learning algorithms Hands-on with Regression & Classification models 🔹 Data Analyst (Data Science) 📍 Experience: 3+ years 🔍 Must have: Snowflake, R, Python, SQL Understanding of ML algorithms and data interpretation 🔹 Sr. Data Engineer 📍 Experience: 4+ years 🔍 Must have: Databricks, Python Data Visualization, ETL pipelines Snowflake expertise 🔹 Data Engineer (Spark) 📍 Experience: 3+ years 🔍 Must have: Strong in SQL, Spark, Hadoop Experience with CI/CD, Snowflake, ETL tools If any of these roles resonate with your experience or career goals, feel free to apply or reach out directly. Drop your resume at: [gayatri.yeolekar@mbww.com] Show more Show less

Similar tech landscape as ML engineer, but I expect this person to light on the engineering / troubleshooting part, and more on the model development Traditional ML model development analysis, hypothesis testing, data preparation, model selection, validation and testing Knowledge of Agentic AI framework, RAG setup, LLM selection, integration etc. This could be two types of profiles, first with strong About Virtusa Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us. Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence. Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

LD Scientist with 12 yrs of industry exp, including at least 5 yrs of hands-on exp in data science & a proven track record of delivering impactful data science solutions. Data Analysis &Exploration Time Series Analysis Model Deployment & Integration Required Candidate profile 12+ yrs/including 5+ yrs in data science Exp in Python and SQL for data extraction, manipulation & analysis DS & Model Development: Demonstrated exp in performing exploratory data analysis (EDA)

Job Title: Data Scientist(5 Positions)/ Lead OR Manager -Data Scientist (3 positions) Experience: Data scientist (8-10 years) / Lead Data scientist(14+ years) Job Location: Whitefield, Bangalore Mode of working: Hybrid Interview Process: First Round: L1-Internal interview Second Round: Assessment shared by us needs to be completed in 48 hours Third Round: Client discussion over the submitted assessment. Final Round: HR Discussion Preferred Domain: Healthcare Insurance/ Insurance agencies / Health Insurance / Any Insurance We are looking for a talented Data Scientist to join our growing team. In this role, you will lead efforts to develop, enhance, and optimize advanced AI and machine learning models with a particular focus on Generative AI, Large Language Models (LLMs), Langchain, and Prompt Engineering. You will oversee the application of statistical modeling techniques to derive insights, build models, and lead research initiatives that push the boundaries of AI technologies. Key Responsibilities: Leadership & Collaboration: Lead a team of data scientists, researchers, and engineers working on high-impact projects related to generative models, NLP, and statistical modeling. Collaborate with cross-functional teams, including engineering, product management, and research, to deliver AI-powered products and solutions. Generative AI Development: Spearhead the development and deployment of Generative AI models and algorithms to address complex problems in areas like content generation, conversational AI, and creative automation. LLM Implementation & Optimization: Develop, fine-tune, and optimize large language models (LLMs) for diverse applications, ensuring they are robust, scalable, and accurate in real-world scenarios. Langchain Integration: Design and integrate Langchain for managing and deploying sophisticated language models with a focus on complex workflows, multi-agent systems, and real-time applications. Prompt Engineering: Lead prompt engineering efforts to optimize AI models' output quality, improve interactions, and enable more effective natural language understanding across a variety of use cases. Statistical Modeling: Utilize advanced statistical techniques to analyze and interpret data, build predictive models, and solve business-critical challenges through data-driven insights. Research & Innovation: Stay ahead of trends in AI and ML, particularly in the fields of NLP, LLMs, and generative models. Drive innovation by exploring cutting-edge techniques and methodologies in the AI space . Mentorship & Knowledge Sharing: Mentor junior team members and promote a collaborative, learning-oriented environment. Share knowledge and foster an atmosphere of continuous improvement within the data science team. Performance Optimization: Ensure model performance meets or exceeds company and client expectations by identifying areas of improvement, testing new methods, and scaling the systems accordingly. Ethical AI Development: Advocate for and implement ethical considerations in the development and deployment of AI models, including fairness, transparency, and privacy. Qualifications: Required: Education: Ph.D. or Masters degree in Computer Science, Data Science, Mathematics, Statistics, or related field, or equivalent practical experience. Experience: 8+ years of experience in data science, with at least 2-3 years in a leadership role. Proven expertise in Generative AI, particularly in areas like content generation, deep learning, and language modeling. Strong background in Large Language Models (LLMs) such as GPT, T5, BERT, or similar architectures. Hands-on experience with Langchain for building NLP workflows, pipelines, and integrating external systems with LLMs. Hands-on experience of Prompt Engineering, including techniques to refine and optimize outputs for various NLP tasks. Expertise in statistical modeling and quantitative analysis, with the ability to apply techniques to solve real-world problems. Preferred: Experience working with transformer models and fine-tuning LLMs for specific tasks. Expertise in AI model evaluation and metrics (e.g., BLEU, ROUGE, perplexity). Background in developing AI-driven products from concept to deployment. Strong publication record in AI research, particularly in NLP and machine learning . Used cases( Any of them) Automated Underwriting. Customer experience enhancement. Fraud detection . Predictive analytics. Accelerated claims processing. Risk assessment and premium calculation . Customer profiling . c ustomer segmentation . Credit Risk Assessment . Personalised marketing . Anti-Money Laundering (AML) . Personalized patient care. Medical training and simulations. Medical Data Analysis. Please share your updated resume at renuka.rathi@puresoftware.com

About the Role: We are seeking a highly skilled and innovative AI/ML Engineer with a strong background in Generative AI (LLMs, RAG, Multimodal models, Agentic AI) , core Machine Learning (including Deep Learning, NLP, and Vision), and hands-on experience with Data Visualization tools like Tableau . The ideal candidate should also be familiar with deploying solutions on cloud platforms, particularly AWS . Key Responsibilities: Design, develop, and fine-tune Large Language Models (LLMs) for diverse use cases using prompt engineering, fine-tuning, and embeddings. Implement Retrieval-Augmented Generation (RAG) pipelines with semantic search and vector databases (e.g., FAISS, Pinecone). Work on multimodal AI models involving text, image, and audio data for advanced AI capabilities. Build agentic AI systems using frameworks like LangChain, OpenAgents, or similar libraries. Develop, train, and evaluate Machine Learning /Deep Learning models for NLP and Computer Vision (object detection, OCR, etc.). Create insightful data dashboards and visualizations using Tableau to support business decision-making. Deploy ML pipelines and models on AWS cloud services (e.g., S3, SageMaker, Airflow, Glue). Familiarity with Microsoft Azure especially for OpenAI Collaborate with cross-functional teams to understand business problems and translate them into AI/ML solutions. Keep up-to-date with the latest advancements in Gen-AI, open-source tools, and cloud technologies. Preferred Qualifications: Bachelors or Masters in Computer Science, Data Science, or related field Required Skills: Gen-AI & LLMs: Experience with OpenAI, HuggingFace Transformers, LangChain, LlamaIndex, RAG architectures Experience in LLM evaluation, prompt optimization , fine-tuning/customizing base models Familiarity with agentic workflows , function calling, and orchestration tools Machine Learning: Strong fundamentals in deep learning, NLP, and computer vision Experience with TensorFlow, PyTorch, Scikit-learn Good grasp of model deployment, monitoring, and evaluation metrics Visualization & Storytelling: Proficient in Tableau for data visualization, dashboards, and storytelling with data Cloud & DevOps: Familiarity with AWS services (S3, Lambda, SageMaker, Glue , MWAA) Comfortable with Bitbucket (Git ) and CI/CD pipelines

You will be the Data Scientist in the Fraud Risk team , where you will work on leading new projects to build and improve the Risk strategies to prevent fraud using the Risk tooled and custom data & AL/ML models. In this position, you will be partnering with the corresponding Business Units to align with and influence their strategic priorities, educate business partners about Risk management principles, and collaboratively optimize the Risk treatments and experiences for these unique products and partners. Your day to day In your day to day role you will - In this role you will have full ownership of a portfolio of merchants and is responsible for end-to-end management of loss and decline rates. Collaborate with different teams to develop strategies for fraud prevention, loss savings, and optimize transaction declines or improve customer friction. You will work together with cross-functional teams to deliver solutions and providing Risk analytics on frustration trend/ KPIs monitoring or alerting for fraud events. These solutions will adapt PayPal s advanced proprietary fraud prevention tools enabling business growth. What do you need to bring- 2-4 years of relevant experience working with large-scale complex dataset. Strong analytical mindset, ability to decompose business requirements into an analytical plan, and execute the plan to answer those business questions Excellent communication skills, equally adept at working with engineers as we'll as business leaders Want to build new solutions and invent new approaches to big, ambiguous, critical problems Strong working knowledge of Excel, SQL and Python/R Technical Proficiency: Exploratory Data Analysis and expertise in preparing a clean and structured data for model development. Experience in applying AI/ML techniques for business decisioning including supervised and unsupervised learning (eg, regression, classification, clustering, decision trees, anomaly detection, etc). Knowledge of model evaluation techniques such as Precision, Recall, ROC-AUC Curve, etc along with basic statistical concepts.

This position allows the successful incumbent to develop deep technical and broad commercial skills by being exposed to, and working on a wide variety of internal projects. Working as part of a large, sophisticated analytics team, this role will be required to: Manipulate and analyse data for the development and validation of predictive models in the areas of credit risk, demographics, marketing, fraud and ratings, in distributed computing environment Monitor Equifax s cutting edge scorecards and risk tools Create business case and analytic insight materials that show the value of predictive modelling and visualise the insights Conduct ad hoc queries such as bureau insights, testing solutions Lead small projects and quality check own and others outputs guide junior data scientists Maintain documentation that supports Analytics platform of databases, data products and analytical solutions. What you'll Do: Project Leadership / Mentoring Mentor Analysts through development process Driving a focus on learning so that the team benefits from your coaching and other learning events that contribute to improved performance. Develop and maintain a network of influence. Demonstrate leadership by example. Data Analysis Leading statistical and data analysis, sometimes as project team leader. Demonstrate analytic leadership in the approaches used and proactively provide technical guidance and support to analysts. Demonstrate a high level of skill in programming required to perform analysis such as demonstrated experience with SQL, R, Python and Tableau on Cloud environments such as GCP or equivalent. Process and analyse large volumes of data in the development of insights. Prepare documentation for all work, to ensure that an audit trail is sufficient for a colleague to be able to quality review and/or repeat your analysis. Quality check your own and other analyst work output to ensure error-free delivery of information and analysis. Develop extensive repertoire of analytical methodologies and techniques for investigating data relationships and insights Adhere to Equifax project management standards and effective use of project management resources (methodology, templates, time recording systems and project office). Product and Service Contributing to analytic roadmap, product development and innovation Develop a detailed understanding of the full product and service offering available through Equifax as we'll as the market dynamics and requirements within the data driven marketing space. Proactively use this understanding to work with the team and stakeholders to enhance and expand Equifax s data and insights assets. What experience you need BS degree in a STEM major or equivalent discipline 5-7 years of experience in a related analytical role Proven track record of designing and developing predictive models in real-world applications Experience with model performance evaluation and predictive model optimization for accuracy and efficiency Cloud certification strongly preferred Additional role-based certifications may be required depending upon region/BU requirements Process Improvement and Efficiencie Drive transition to more advanced modelling environments, utilising distributed computing and methodologies such as machine learning Demonstrate an understanding of business needs, making recommendations relating to new or improved data and insights assets. Supporting the other teams within the Analytics function by working with them to improve processes as needed. Systems and Processes Develop a detailed understanding of Equifax databases, data structures and core data analysis procedures, as we'll as maximising output through a Hadoop based file system. Develop understanding of best practice model management framework to ensure Equifax s models remain optimal in terms of performance and stability Develop familiarity with Equifax s documented project management methodology and resources (templates, time recording system, work scheduling etc). What could set you apart Passion for data science, data mining, machine learning and experience with big data architectures and methods A Masters degree in a quantitative field (Statistics, Mathematics, Economics) Cloud certification such as GCP strongly preferred Self Starter Excellent communicator / Client Facing Ability to work in fast paced environment Flexibility work across A/NZ time zones based on project needs

The Senior Data Scientist in the Interaction Insights team will help in generating actionable insights for driving the creation of fact-based research from client interactions and other Gartner internal and external data assets. At the core we are looking for a person who is passionate about learning new technologies, text analytics, digging into rows of unstructured data, drawing recommendations & actionable insights, and using creative ways to visualize & interpret it for research. This person will have a flair of innovation along with a strong experience in Python, Data Science, NLP, Machine Learning, Deep Learning, LLMs and the analysis of unstructured data. They would be working closely with various stakeholders to explore opportunities to optimize data mining techniques and improve the accuracy of insights generated using NLP or various types of Machine Learning/Deep Learning/LLM models. What you will do: Execute large-scale, high-impact data science projects, translating research objectives into actionable data and insights from both internal and external data assets Provide ad hoc modeling and analytical insights to inform strategic and operational initiatives Analyze unstructured text data to discover insights and patterns using advanced data science techniques, including machine learning (ML) and natural language processing (NLP) Interpret data-driven patterns and insights in alignment with original business objectives Address critical business challenges by leveraging data science, ML, and NLP methodologies Interact with internal and external stakeholders to refine and enhance findings Collaborate as part of a team in a fast-paced environment, meeting strict SLAs and turnaround times Develop a deep understanding of the technology industry and maintain expertise in the data science domain Ensure delivery of high-quality data science solutions with a focus on accuracy and coverage Be accountable for the scalability, stability, and business adoption of data science solutions Maintain proper documentation and adhere to code reusability and best practices Take ownership of algorithms, including their ongoing enhancement and optimization to meet evolving business requirements Stay current with advancements in AI/ML models and technologies, and apply disruptive data science solutions as appropriate. Collaborate with engineering and product teams to launch MVPs and iterate quickly based on feedback Independently plan, drive and execute data science projects that deliver clear and measurable business value What you will need: Education - masters in engineering, Computer Science, Computer Applications, Statistics, Mathematics, Applied Mathematics, Computer Science with focus on AI or Data Science; BE/BTech or Bachelors (Comp. Sc./AI) with relevant experience Total experience - 7 to 10 years of which 5+ yrs as hands-on Data Science, AI/ML experience on real-world industry problems, with focus on Text Mining and Natural Language Processing/text analytics Advanced proficiency in Python and SQL, with experience using key data science libraries and tools (eg, Pandas, Numpy, scikit-learn, TensorFlow, PyTorch, Spacy, NLTK, Scipy) Hands-on experience with machine learning, deep learning, NLP (including LLMs/GenAI), and applying these models to real-world business problems Strong background in data preparation, including cleaning, normalization, and handling unstructured text data for modeling Experience with cloud computing platforms such as AWS or Azure for model training, testing, and deployment Familiarity with both relational (eg, Oracle) and NoSQL databases (eg, MongoDB, graph databases), as we'll as distributed computing frameworks like Spark Proficiency in best coding practices and code/repo management using GitHub or Bitbucket Basic skills in Power BI, Excel, and PowerPoint Strong analytical, critical thinking, and problem-solving skills, with the ability to extract insights from complex and unstructured datasets Demonstrated ability to collaborate across product, engineering, and data science teams, and to influence stakeholders at all levels Excellent communication skills in both technical and business contexts Self-motivated, eager to learn, adaptable to feedback, and comfortable working in a fast-paced, milestone-driven environment What you will get: Competitive salary, generous paid time off policy, charity match program, Group Medical Insurance, Parental Leave, Employee Assistance Program (EAP) and more! Collaborative, team-oriented culture that embraces diversity Professional development and unlimited growth opportunities

The Client Services BI & Analytics team strives to create an open, trusting data culture where the cost of curiosity - the number of steps, amount of time, and complexity of effort needed to use operational data to derive insights - is as low as possible. We govern Client Services operational data and metrics, create easily usable dashboards and data sources, and analyze data to share insights. We are a part of the Client Services Global Business Operations function and work with all levels of stakeholders, from executive leaders sharing insights with the C-Suite to customer-facing colleagues who rely on our assets to incorporate data into their daily responsibilities. This specialist role makes data available from new sources, builds robust data models, creates and optimizes data enrichment pipelines, and provides engineering support to specific projects. You will partner with our Data Visualizers and Solution Designers to ensure that data needed by the business is available and accurate and to develop certified data sets. This technical lead and architect role is a force multiplier to our Visualizers, Analysts, and other data users across Client Services. Responsibilities Design, develop, and maintain scalable data pipelines and systems. Monitor and troubleshoot data pipeline issues to ensure seamless data flow. Establish data processes and automation based on business and technology requirements, leveraging Visa s supported data platforms and tools Deliver small to large data engineering and Machine learning projects either individually or as part of a project team Setup ML Ops pipelines to Productionalize ML models and setting up Gen AI pipelines Collaborate with cross-functional teams to understand data requirements and ensure data quality, with a focus on implementing data validation and data quality checks at various stages of the pipeline Provide expertise in data warehousing, ETL, and data modeling to support data-driven decision making, with a strong understanding of best practices in data pipeline design and performance optimization Extract and manipulate large datasets using standard tools such as Hadoop (Hive), Spark, Python (pandas, NumPy), Presto, and SQL Develop data solutions using Agile principles Provide ongoing production support Communicate complex concepts in a clear and effective manner Stay up to date with the latest data engineering trends and technologies to ensure the companys data infrastructure is always state-of-the-art, with an understanding of best practices in cloud-based data engineering This is a remote position. A remote position does not require job duties be performed within proximity of a Visa office location. Remote positions may be required to be present at a Visa office with scheduled notice. Basic Qualifications -2 or more years of work experience with a Bachelor s Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD) Preferred Qualifications -3 or more years of work experience with a Bachelor s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) -3+ years of work experience with a bachelor s degree in the STEM field. -Strong experience with SQL, Python, Hadoop, Spark, Hive, Airflow and MPP data bases -5+ years of analytics experience with a focus on data Engineering and AI -Experience with both traditional data warehousing tools and techniques (such as SSIS, ODI, and on-prem SQL Server, Oracle) as well as modern technologies (such as Hadoop, Denodo, Spark, Airflow, and Python), and a solid understanding of best practices in data engineering -Advanced knowledge of SQL (e.g., understands subqueries, self-joining tables, stored procedures, can read an execution plan, SQL tuning, etc.) -Solid understanding of best practices in data warehousing, ETL, data modeling, and data architecture. -Experience with NoSQL databases (e.g., MongoDB, Cassandra) -Experience with cloud-based data warehousing and data pipeline management (AWS, GCP, Azure) -Experience in Python, Spark, and exposure to scheduling tools like Tuber/Airflow is preferred. -Able to create data dictionaries, setup and monitor data validation alerts, and execute periodic jobs to maintain data pipelines for completed projects -Experience with visualization software (e.g., Tableau, QlikView, PowerBI) is a plus. -A team player and collaborator, able to work well with a diverse group of individuals in a matrixed environment

F2F Weekend Drive - Bangalore- 14th June - DS Gen AI Job description We are having a F2F weekend drive for the requirement of a Data Scientist + Gen AI at our LTIM Bangalore Whitefield office. Date - 14th June 2025 Experience - 6+ Years Mandatory Skills - Data Science, Gen AI, Python, RAG and Azure/AWS, AI/ML, NLPt Location - LTIMindtree Bangalore Whitefield Office 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, Inference, Model training, Model Deployment Generic JD- 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. Experience 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. Experience with NoSQL databases, such as MongoDB, Cassandra, HBase, Vector databases Good understanding of applied statistics skills, such as distributions, statistical testing, regression, etc. Should be a data-oriented person with analytical mind and business acumen.

Application Deadline: 21 June 2025 Title Senior Analyst- Data Scientist Department Data Value Location Gurgaon Reports To Suman Kaur Level 3 We re proud to have been helping our clients build better financial futures for over 50 years. How have we achieved this? By working together - and supporting each other - all over the world. So, join our Data Value team and feel like you re part of something bigger. About your team Data Value team drives the renewed focus of extracting value from Fidelity s data for business and client insights and working as one voice with the business, technology, and data teams. The team s vision is to create measurable business impact by leveraging technology and utilising the skills to generate valuable insights and streamline engagements. The Data Science function within Data Value supports Fidelity International s Sales, Marketing, Propositions, Risk, Finance, Customer Service and HR teams across the globe. The key objectives of the function are: To develop deep customer insights for our businesses helping them segment and target customers more effectively To develop a fact-based understanding of sales trends and identify actionable sales growth opportunities for each of our sales channels To understand customer preferences in terms of products, service attributes and marketing activity to help refine each of these To help develop new services lines e.g. develop customer analytics for key IFAs, DC Clients, Individual clients etc. To develop market and competitive intelligence in our key markets to help shape our business planning in those markets The function works directly with business heads and other senior stakeholder s stakeholders to identify areas of analytics, define problem statements and develop key insights. About your role You will be expected to take a leading role in developing the Data Science and Advanced Analytics solutions for our business. This will involve: Engaging with the key stakeholders to understand Fidelity s sales, marketing, client services and propositions context Implement advanced analytics solutions on On-Premises/Cloud platforms, develop proof-of-concepts and engage with internal and external ecosystem to progress the proof of concepts to production. Engaging and collaborating with different other internal teams like Data engineering, DevOps, technology team etc for development of new tools, capabilities, and solutions. Maximize Adoption of Cloud Based advanced analytics solutions: Build out sandbox analytics environments using Snowflake, AWS, Adobe, Salesforce. About you Key Responsibilities Developing and Delivering Data Science solutions for business (40%) Partner with internal (FIL teams) & external ecosystem to design and deliver advanced analytics enabled Data Science solutions Create advanced analytics solution on quantitative and text data using Artificial Intelligence, Machine Learning and NLP techniques. Create compelling visualisations that enable the smooth consumption of predictions and insights for customer benefit . Stakeholder Management (30%) Works with channel heads/stakeholders and other sponsors understand the business problem and translate it into appropriate analytics solution. Engages with key stakeholders for smooth execution, delivery, and implementation of solutions Adoption of Cloud enabled Data Science solutions: (20%) Maximize Adoption of Cloud Based advanced analytics solution Build out sandbox analytics environments using Snowflake, AWS, Adobe, Salesforce Deploy solutions in productions while adhering to best practices involving Model Explainability, MLOps, Feature Stores, Model Management, Responsible AI etc Collaboration and Ownership (10%) Sharing of knowledge, best practices with the team including coaching or training in some of deep learning/machine learning methodologies. Provides mentoring, coaching, and consulting advice and guidance to staff, e.g. analytic methodologies, data recommendations Takes complete independent ownership of the projects and the initiatives in the team with the minimal support Experience and Qualifications Required Qualifications: Engineer from IIT/Master s in field related to Data Science/Economics/Mathematics (Tie1 Institutions like ISI, Delhi School of Economics)/M.B.A from tier 1 institutions Must have Skills & Experience Required: Overall, 8+ years of experience in Data Science and Analytics 5+ years of hands-on experience in - Statistical Modelling /Machine Learning Techniques/Natural Language Processing/Deep Learning 5+ years of experience in Python/Machine Learning/Deep Learning Excellent problem-solving skills Should be able to run analytics applications such as Python, SAS and interpret statistical results Implementation of models with clear measurable outcomes Good to have Skills & Experience Required: Ability to engage in discussion with senior stakeholders on defining business problems, designing analyses projects, and articulating analytical insights to stakeholders. Experience on SPARK/Hadoop/Big Data Platforms is a plus Experience with unstructured data and big data Experience with secondary data and knowledge of primary market research is a plus. Ability to independently own and manage the projects with minimal support. Excellent analytical skills and a strong sense for structure and logic Ability to develop, test and validate hypotheses. Feel rewarded

Job Summary What you need to know about the role Each Data Scientist on this team has full ownership of a portfolio of a product and is responsible for end-to-end management of loss and decline rates. Day-to-day duties include data analysis, monitoring and forecasting, creating the logic for and implementing risk rules and strategies, providing requirements to data scientists and technology teams on attribute, model and platform requirements, and communicating with global stakeholders to ensure we deliver the best possible customer experience while meeting loss rate targets. Meet our team PayPals Global Fraud Protection team is responsible for partnering with global business units to manage a variety of risk of various types, including identity fraud, account takeover, stolen financial fraud, and credit issues. This is an exciting department that plays an important role in contributing PayPals bottom line financial savings, ensuring safe and secure global business growth, and delivering the best customer experience. This open opportunity is within the Large Merchant and Markets Fraud Risk team. This portfolio is comprised of PayPal s newest leading-edge payments solutions, such as Risk-as-Service, Fastlane, PayPal Complete Payments, etc. as well as customized experiences developed for the company s highest-priority strategic Markets and Partnerships. Job Description Your way to impact You will be the Data Scientist in the Fraud Risk team , where you will work on leading new projects to build and improve the Risk strategies to prevent fraud using the Risk tooled and custom data & AL/ML models. In this position, you will be partnering with the corresponding Business Units to align with and influence their strategic priorities, educate business partners about Risk management principles, and collaboratively optimize the Risk treatments and experiences for these unique products and partners. Your day to day In your day to day role you will - In this role you will have full ownership of a portfolio of merchants and is responsible for end-to-end management of loss and decline rates. Collaborate with different teams to develop strategies for fraud prevention, loss savings, and optimize transaction declines or improve customer friction. You will work together with cross-functional teams to deliver solutions and providing Risk analytics on frustration trend/ KPIs monitoring or alerting for fraud events. These solutions will adapt PayPal s advanced proprietary fraud prevention tools enabling business growth. What do you need to bring- 2-4 years of relevant experience working with large-scale complex dataset. Strong analytical mindset, ability to decompose business requirements into an analytical plan, and execute the plan to answer those business questions Excellent communication skills, equally adept at working with engineers as well as business leaders Want to build new solutions and invent new approaches to big, ambiguous, critical problems Strong working knowledge of Excel, SQL and Python/R Technical Proficiency Exploratory Data Analysis and expertise in preparing a clean and structured data for model development. Experience in applying AI/ML techniques for business decisioning including supervised and unsupervised learning (e.g., regression, classification, clustering, decision trees, anomaly detection, etc.). Knowledge of model evaluation techniques such as Precision, Recall, ROC-AUC Curve, etc. along with basic statistical concepts. Preferred Qualification Subsidiary PayPal Travel Percent 0 For the majority of employees, PayPals balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https//www.paypalbenefits.com . Who We Are Click Here to learn more about our culture and community. Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. . Belonging at PayPal Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community . We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don t hesitate to apply.

About Amazon Regulatory Intelligence, Safety, and Compliance (RISC). Amazon RISC s vision is to make Amazon the Earth s most trusted shopping destination for safe and compliant products. Towards this mission, we take a science-first approach to building technology, products and services, that protect customers from unsafe, illegal, controversial, or policy-violating products while offering the optimal selling partner experience. Job Summary We are seeking an exceptional Data Scientist to join a team of experts in the field of AI/ML, and work together to tackle challenging business problems across diverse compliance domains. We leverage and train state-of-the-art multi-modal, large-language-models (LLMs), and vision language models (VLMs) to detect illegal and unsafe products across the Amazon catalog. We work on machine learning problems for generative AI, agentic system, multi-modal classification, intent detection, information retrieval, anomaly and fraud detection. This is an exciting and challenging position to deliver scientific innovations into production systems at Amazon-scale to make immediate, meaningful customer impacts while also pursuing ambitious, long-term research. You will work in a highly collaborative environment where you can analyze and process large amounts of images, texts, documents, and tabular data. You will work on hard science problems that have not been solved before, conduct rapid prototyping to validate your hypothesis, and deploy your algorithmic ideas at scale. There will be something new to learn every day as we work in an environment with rapidly evolving regulations and adversarial actors looking to outwit your best ideas. Design and evaluate state-of-the-art algorithms and approaches in generative AI, agentic system, multi-modal classification, intent detection, information retrieval, anomaly and fraud detection. Translate product and CX requirements into measurable science problems and metrics. Collaborate with product and tech partners and customers to validate hypothesis, drive adoption, and increase business impact Key author in writing high quality scientific papers in internal and external peer-reviewed conferences. A day in the life Understanding customer problems, project timelines, and team/project mechanisms Proposing science formulations and brainstorming ideas with team to solve business problems Writing code, and running experiments with re-usable science libraries Reviewing labels and audit results with investigators and operations associates Sharing science results with science, product and tech partners and customers Writing science papers for submission to peer-review venues, and reviewing science papers from other scientists in the team. Contributing to team retrospectives for continuous improvements Driving science research collaborations and attending study groups with scientists across Amazon About the team We are a team of scientists and engineers building AI/ML solutions to make Amazon the Earth s most trusted shopping destination for safe and compliant products. PhD, or Masters degree with 2+ years of machine learning experience, or bachelor degree with 3+ years of machine learning experience Experience programming in Python, Java, C++, or related language Experience with neural deep learning methods, LLM, and natural language processing Experience with conducting research in a corporate setting Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability

We are seeking an exceptional Data Scientist to join a team of experts in the field of machine learning, and work together to tackle challenging problems across diverse compliance domains. We leverage risk models (including boosted trees and graph neural networks) as well as vision and large-language-models (LLMs) to detect illegal and unsafe products across the Amazon catalog. We work on machine learning problems for multi-modal classification, intent detection, information retrieval, anomaly and fraud detection, and generative AI. This is an exciting and challenging position to deliver scientific innovations into production systems at Amazon-scale to make immediate, meaningful customer impacts while also pursuing ambitious, long-term research. You will work in a highly collaborative environment where you can analyze and process large amounts of image, text and tabular data. You will work on hard science problems that have not been solved before, conduct rapid prototyping to validate your hypothesis, and deploy your algorithmic ideas at scale. There will be something new to learn every day as we work in an environment with rapidly evolving regulations and adversarial actors looking to outwit your best ideas. Explore and evaluate state-of-the-art algorithms and approaches in risk modeling and vision/language models Translate product and CX requirements into measurable science problems and metrics. Collaborate with product and tech partners and customers to validate hypothesis, drive adoption, and increase business impact Evaluate model performance in production and refresh/implement necessary updates to maintain optimal system performance. A day in the life Understanding customer problems, project timelines, and team/project mechanisms Proposing science formulations and brainstorming ideas with team to solve business problems Writing code, and running experiments with re-usable science libraries Reviewing labels and audit results with investigators and operations associates Sharing science results with science, product and tech partners and customers Contributing to team retrospectives for continuous improvements Participating in science research collaborations and attending study groups with scientists across Amazon About the team We are a team of scientists building AI/ML solutions to make Amazon Earth s most trusted shopping destination for safe and compliant products. 2+ years of data scientist experience 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience Experience applying theoretical models in an applied environment Knowledge of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc. Experience in Python, Perl, or another scripting language Experience in a ML or data scientist role with a large technology company

We are seeking an exceptional Data Scientist to join a team of experts in the field of machine learning, and work together to tackle challenging problems across diverse compliance domains. We leverage multi-modal and large-language-models (LLMs) to detect illegal and unsafe products across the Amazon catalog. We work on machine learning problems for multi-modal classification, intent detection, information retrieval, anomaly and fraud detection, and generative AI. This is an exciting and challenging position to deliver scientific innovations into production systems at Amazon-scale to make immediate, meaningful customer impacts while also pursuing ambitious, long-term research. You will work in a highly collaborative environment where you can analyze and process large amounts of image, text and tabular data. You will work on hard science problems that have not been solved before, conduct rapid prototyping to validate your hypothesis, and deploy your algorithmic ideas at scale. There will be something new to learn every day as we work in an environment with rapidly evolving regulations and adversarial actors looking to outwit your best ideas. Explore and evaluate state-of-the-art algorithms and approaches in multi-modal classification, large language models (LLMs), intent detection, information retrieval, anomaly and fraud detection, and generative AI Translate product and CX requirements into measurable science problems and metrics. Collaborate with product and tech partners and customers to validate hypothesis, drive adoption, and increase business impact A day in the life Understanding customer problems, project timelines, and team/project mechanisms Proposing science formulations and brainstorming ideas with team to solve business problems Writing code, and running experiments with re-usable science libraries Reviewing labels and audit results with investigators and operations associates Sharing science results with science, product and tech partners and customers Contributing to team retrospectives for continuous improvements Participating in science research collaborations and attending study groups with scientists across Amazon About the team We are a team of scientists building AI/ML solutions to make Amazon Earth s most trusted shopping destination for safe and compliant products. 2+ years of data scientist experience 2+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience 2+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience Experience applying theoretical models in an applied environment Knowledge of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc. Experience in Python, Perl, or another scripting language Experience in a ML or data scientist role with a large technology company

At Globant, we are working to make the world a better place, one step at a time. We enhance business development and enterprise solutions to prepare them for a digital future. With a diverse and talented team present in more than 30 countries, we are strategic partners to leading global companies in their business process transformation. We seek a Data Scientist Senior-Level (Senior) who shares our passion for innovation and change. This role is critical to helping our business partners evolve and adapt to consumers personalized expectations in this new technological era. What will help you succeed: AI/Gen AI + LLM/RAG/Langchain Machine Learning Python AWS AI/ML services - especially Bedrock, SageMaker, Lambda This job can be filled in Pune location. Create with us digital products that people love. We will bring businesses and consumers together through AI technology and creativity, driving digital transformation to impact the world positively. We may use AI and machine learning technologies in our recruitment process. Globant is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status, or any other characteristic protected by applicable federal, state, or local law. Globant is also committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know. Final compensation offered is based on multiple factors such as the specific role, hiring location, as well as individual skills, experience, and qualifications. In addition to competitive salaries, we offer a comprehensive benefits package. Learn more about life at Globant here: Globant Experience Guide .