3566 Data Scientist Jobs - Page 41

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do? AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Title: Data Scientist Location: Bangalore Reporting to: Senior Manager Analytics Purpose of the role Contributing to the Data Science efforts of AB InBevʼs global forecasting team. Candidate will be required to contribute to building, interpreting and scaling forecasting models across multiple ABI markets. Key tasks & accountabilities Preferred industry exposure CPG, Consulting with 3+ years (in case of consulting the typical profile would be of a Lead consultant with relevant experience mentioned in the point below) Experience of working in the domain of Forecasting Analytics preferred “preferably in a CPG organization” with a demonstrated capability of successfully deploying analytics solutions and products for internal or external clients. Has interacted with Senior internal or external stakeholders around project/ service conceptualization and plan of delivery. Exposure to AI/ML methodologies with a previous hands-on experience in ML concepts like forecasting, clustering, regression, classification, optimization, deep learning. Has experience of working on data manipulation using tools such as excel, Python. Strong proficiency in Object-Oriented Programming (OOP) principles and design patterns. Good understanding of data structures and algorithms as they relate to machine learning tasks. Experience with version control tools such as Git. Familiarity with MLOPS and containerization tools like Docker would be plus. Consistently display an intent for problem solving Qualifications, Experience, Skills Level Of Educational Attainment Required B.Tech/BE/ Masters in Statistics or Economics/ econometrics, MBA Previous Work Experience Minimum 3 years of relevant experience. Technical Skills Required Hands-on experience in data manipulation using Excel, Python. Expert level proficiency in Python(knowledge of writing end-to-end ML or data pipelines in python) Proficient in application of ML concepts and forecasting techniques to solve end-to-end business problems. Familiarity with Azure Tech Stack, Databricks, ML Flow in any cloud platform. Other Skills Required Passion for solving problems using data Detail oriented, analytical and inquisitive Ability to effectively communicate and present information at various levels of an organization Ability to work independently and with others And above all of this, an undying love for beer! We dream big to create future with more cheers

Role & responsibilities Drive requirements for AI related projects, work with internal customers and with ServiceNow and Salesforce Product Managers for features planning, prioritization and implementation Understand and apply various statistical methods for data analysis, EDA, hypothesis testing, and drawing meaningful conclusions. Apply GenAI, ML and DL concepts, NLP, computer vision, sentiment analysis, topic modeling and graph theory in real world applications to solve business problems Develop application-specific interfaces that leverage GenAI capabilities and LLMs to enhance the associate and customer experience. Design APIs for performance, real-time applications, scale, ease of use and governance automation. Leverage Python, PyTorch, NLTK etc. libraries and frameworks such as Langchain to build AI solutions. Training ML models to effectively communicate complex data insights through clear and informative visualizations Serves as thought leader in data science and applies deep expertise to drive novel customer experiences Adaptive and the desire to learn new technologies. Technical Experience Extensive knowledge of AI supervised, unsupervised and reinforcement methods, GenAI LLM and Python libraries to perform data analysis, building advanced machine learning models and data integrations with source systems and systems of record Experience with common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, or spaCy Very good knowledge and experience with Databases like Postgres, Redshift, MSSQL Knowledge and experience in Cloud Environments (Azure, AWS, GCP) Experience to read data from multiple sources and cleanse, enhance and analyze the data. Ability to integrate data, sourcing data from several Sources including databases, files, API and Server logs. Preferred candidate profile Minimum of 4+ years experience in data analytics, data mining, machine learning, and has employed predictive, prescriptive, conversational or generative AI to solve business problems Minimum of 4+ years experience in hands-on design, coding, development and deployment using data science tools such as Python, Tensorflow etc. to build AI solutions Minimum 2+ years experience leading teams to deliver solutions and results Deep knowledge of ML streams, e.g., natural language processing, computer vision, statistical learning theory and their application in real world situations Knowledge of ServiceNow and Salesforce products and features Experience working with one of the leading public clouds (AWS, Google, Azure) Excellent written and oral communication skills. Be able to work under pressure Ability to Multitask, Prioritize and Manage time effectively. Strong interpersonal skills and ability to work effectively across teams, functional groups Bachelor's degree in Data Science, Computer Science, or an IT related field Minimum of 4+ years experience in a Data Science related role

6-10 years experience in data science and ML model development A passion for writing high-quality, modular, and scalable code (Python), with hands-on involvement across end-to-end project execution. Solid understanding of regression, classification, and statistical methods Proven experience deploying machine learning models in production using Google Cloud Vertex AI (Training Jobs, Custom Training, Model Registry, Scoring Jobs, Experiment Tracking using TensorBoard) Experience in orchestrating ML pipelines using Vertex AI Pipelines (Kubeflow) and/or Cloud Composer (Apache Airflow) Hands-on exposure to GCP services like Vertex AI SDK, Cloud Storage, Cloud Run, and CI/CD pipelines (GitHub Actions, Cloud Build) Experience with monitoring and maintaining ML models in production, using Vertex AI Model Monitoring and related GCP tools Good to Have Experience with Generative AI tools like Vertex RAG Engine, Agent Builder, Dialogflow CX, and Google Agent Development Kit (ADK) Familiarity with API management (Apigee), VPC networking, load balancers, and GCP SDKs such as Discovery Engine SDK, Reasoning Engine SDK, and GKE

Responsibilities: *Analyze large database using Python & SQL. * Design, Develop and evaluate machine learning modules. * Collaborate on project delivery within timelines. * Present findings through clear documentation. Must know Artificial Intelligence

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. A Data Scientist is responsible for supporting freight analytics/forecasting for process partners by leveraging suitable software. This position is in Bangalore and reports to the Analytics Manager responsible for this area. A person in this role is expected to support 1-2 projects at a time and guide the other team members in work related queries. JOB DUTIES: The job duties of a Data Scientist are to support/lead projects in the domain of freight analytics. To be successful, he/she must utilize technical skills as well as soft skills. The domain and technical skills are defined in 4 key skills: Domain (logistics/freight/supply chain) knowledge, technical (SAS, SQL, MS Office suite) knowledge, data purification (ETL) & analysis and building insights for customer review. It would be added advantage to have working knowledge of visualization tools like Tableau and/or Power BI. This role also will support technology solutions for the analytics team and meeting the needs of the organization. In this role one is expected to identify and drive continuous improvement within the department. In addition to technical skills, a Data Scientist needs to demonstrate intermediate to fully skilled levels of the following values-based competencies (VBCs): integrity & trust; building inclusive relationships; customer focus; problem solving; priority setting; and dealing with uncertainty. Although the requirements above describe most of the responsibilities of the Data Scientist, due to the breadth of issues that arise on projects, it is sometimes expected that he/she takes on other responsibilities outside of this job description. Background/Experience (Required): Bachelor’s degree in engineering, supply chain management, logistics or a related field. Require 3 - 6 years of relevant experience in either of the following fields - supply chain planning, transportation/inventory optimization & simulation. Good knowledge on SAS with one or more successful projects completed by the individual. Must be comfortable working in MS Office, and industry standard statistics and data visualization packages. Excellent communication and presentation skills. Good analytical thinker, experience in data analysis and project management, ability to work well in team settings, with attention to detail. This position requires working onsite five days a week Background/Experience (Desired): Bachelor or Master degree in Operations Research, college degree in supply chain, logistics, or industrial engineering (operation research). Basic level knowledge of any one of the supply chain optimization tools (BY Transportation Modeler, Supply Chain Guru, IBM LogicNet, ILOG CPLEX, Anylogistics) Proficient in Microsoft Office (Excel, Access, PowerPoint, Word) Experience with visualization tools like Tableau or Power BI Skill Descriptors Programming Languages: Knowledge of basic concepts and capabilities of SQL/SAS/Python programming; ability to use tools, techniques and platforms in order to write and modify programming languages. Level Basic Understanding: Describes the basic concepts of programming and program construction activities. Uses programming documentation including program specifications in order to maintain standards. Describes the capabilities of major programming languages. Identifies locally relevant programming tools. Query and Database Access Tools: Knowledge of data management systems; ability to use, support and access facilities for searching, extracting and formatting data for further use. Level Basic Understanding: Identifies query facilities that are available in one's own environment. Explains organization's standards, procedures and practices for building queries. Describes the functions and features of query and database access tools. Identifies the key benefits and drawbacks of query languages. Business Statistics: Knowledge of the statistical tools, processes, and practices to describe business results in measurable scales; ability to use statistical tools and processes to assist in making business decisions. Level Basic Understanding: Identifies and describes basic statistical measures. Summarizes the underlying uncertainties associated with statistical analysis and reporting. Accuracy and Attention to Detail: Understanding the necessity and value of accuracy; ability to complete tasks with high levels of precision. Level Working Knowledge: Accurately gauges the impact and cost of errors, omissions, and oversights. Utilizes specific approaches and tools for checking and cross-checking outputs. Processes limited amounts of detailed information with good accuracy. Learns from mistakes and applies lessons learned. Develops and uses checklists to ensure that information goes out error-free. Analytical Thinking: Knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems. Level Basic Understanding: Names specific tools or techniques that can be used to support the analytical thinking process. Describes specific software applications or products used for business analytics. Gives examples of how analytical thinking has been used to resolve problems. Additional Info: This position will require travelling about 10% of the time. Caterpillar is not currently hiring individuals for this position who now or in the future require sponsorship for employment visa status; however, as a global company, Caterpillar offers many job opportunities outside of Singapore which can be found through our employment website at www.caterpillar.com/careers. What You Will Get: Our goal at Caterpillar is for you to have a rewarding career. Our teams are critical to the success of our customers who build a better world. Here you earn more than just wage, because we value your performance, we offer a total rewards package that provides day one benefits along with the potential of a variable bonus. Additional benefits include paid annual leave, flexi leave, medical and insurance (prorated based upon hire date). Final Details: Please frequently check the email associated with your application, including the junk/spam folder, as this is the primary correspondence method. If you wish to know the status of your application – please use the candidate log-in on our career website as it will reflect any updates to your status. About Caterpillar Caterpillar Inc. is the world’s leading manufacturer of construction and mining equipment, off-highway diesel and natural gas engines, industrial gas turbines and diesel-electric locomotives. For nearly 100 years, we’ve been helping customers build a better, more sustainable world and are committed and contributing to a reduced-carbon future. Our innovative products and services, backed by our global dealer network, provide exceptional value that helps customers succeed. Posting Dates: July 18, 2025 - July 24, 2025 Caterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply Not ready to apply? Join our Talent Community.

Title: Lead Data Scientist (Python) Required Technical Skillset:Language : Python, PySpark Framework - Scikit-learn, TensorFlow, Keras, PyTorch, Libraries - NumPy, Pandas, Matplotlib, SciPy, Scikit-learn - DataFrame, Numpy, boto3 Database - Relational Database(Postgres), NoSQL Database (MongoDB) Cloud - AWS cloud platforms Other Tools - Jenkins, Bitbucket, JIRA, Confluence A machine learning engineer is responsible for designing, implementing, and maintaining machine learning systems and algorithms that allow computers to learn from and make predictions or decisions based on data. The role typically involves working with data scientists and software engineers to build and deploy machine learning models in a variety of applications such as natural language processing, computer vision, and recommendation systems. The key responsibilities of a machine learning engineer includes: Collecting and preprocessing large volumes of data, cleaning it up, and transforming it into a format that can be used by machine learning models. Model building which includes Designing and building machine learning models and algorithms using techniques such as supervised and unsupervised learning, deep learning, and reinforcement learning. Evaluating the model performance of machine learning models using metrics such as accuracy, precision, recall, and F1 score. Deploying machine learning models in production environments and integrating them into existing systems using CI/CD Pipelines, AWS Sagemaker Monitoring the performance of machine learning models and making adjustments as needed to improve their accuracy and efficiency. Working closely with software engineers, product managers and other stakeholders to ensure that machine learning models meet business requirements and deliver value to the organization. Requirements and Skills: Mathematics and Statistics: A strong foundation in mathematics and statistics is essential. They need to be familiar with linear algebra, calculus, probability, and statistics to understand the underlying principles of machine learning algorithms. Programming Skills: Should be proficient in programming languages such as Python. The candidate should be able to write efficient, scalable, and maintainable code to develop machine learning models and algorithms. Machine Learning Techniques: Should have a deep understanding of various machine learning techniques, such as supervised learning, unsupervised learning, and reinforcement learning and should also be familiar with different types of models such as decision trees, random forests, neural networks, and deep learning. Data Analysis and Visualization: Should be able to analyze and manipulate large data sets. The candidate should be familiar with data cleaning, transformation, and visualization techniques to identify patterns and insights in the data. Deep Learning Frameworks: Should be familiar with deep learning frameworks such as TensorFlow, PyTorch, and Keras and should be able to build and train deep neural networks for various applications. Big Data Technologies: A machine learning engineer should have experience working with big data technologies such as Hadoop, Spark, and NoSQL databases. They should be familiar with distributed computing and parallel processing to handle large data sets. Software Engineering: A machine learning engineer should have a good understanding of software engineering principles such as version control, testing, and debugging. They should be able to work with software development tools such as Git, Jenkins, and Docker. Communication and Collaboration: A machine learning engineer should have good communication and collaboration skills to work effectively with cross-functional teams such as data scientists, software developers, and business stakeholders.

Mavenir is building the future of networks and pioneering advanced technology, focusing on the vision of a single, software-based automated network that runs on any cloud. As the industry's only end-to-end, cloud-native network software provider, Mavenir is transforming the way the world connects, accelerating software network transformation for 250+ Communications Service Providers in over 120 countries, which serve more than 50% of the world’s subscribers. Role Summary What will you do Applied data science research to fight spam, scam and fraud attacks in SMS, MMS, e-mail and other mobile telecommunication protocols Helping mobile network operators worldwide in localization, identification, monetization and prevention of spam and fraud attacks Big Data analysis of Voice/SMS/MMS traffic (>100 million messages per day) Data cleaning and preprocessing (data wrangling), exploratory analysis, statistical analysis Machine learning, data mining, text mining in different languages Data visualization and presentation Uncovering activities of organized groups of spammers and fraudsters Researching new fraud techniques and designing algorithms for their detection and prevention Monitoring and preventing virus and malware distribution vectors in SMS/MMS Presenting results to customers, leading discussions about findings and best approaches to manage the fraud attacks . Key Responsibilities Key Responsibilities What will you work with Hands-on Experience of 2-4 Years in Statistical tools – R-studio, python Mavenir’s solution for identification of fraud and spam in mobile networks Unique data sets (Voice/SMS/MMS/RCS communication from all around the world) State of the art fraud detection algorithms Core mobile network systems and technologies Must have hands on expreience in Linux/Unix OS(Mandatory) Big data tools - Spark, ElasticSearch/OpenSearch, Kafka Data science and machine learning tooling - NumPy, SciPy, MLlib Job Requirements What we expect you already have Practical experience with statistical analysis or Business Intelligence Scripting languages (for example R, bash, python, perl, lua or similar) Data visualization and reporting Critical thinking and strong problem-solving skills Curiosity and willingness to learn new things Working proficiency in English We appreciate you already /have - Machine learning and Linux This position is based out from Gurugram location Accessibility Mavenir is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. If you require any assistance, please state in your application or contact your recruiter. Mavenir is an Equal Employment Opportunity (EEO) employer and welcomes qualified applicants from around the world, regardless of their ethnicity, gender, religion, nationality, age, disability, or other legally protected status.

Mavenir is building the future of networks and pioneering advanced technology, focusing on the vision of a single, software-based automated network that runs on any cloud. As the industry's only end-to-end, cloud-native network software provider, Mavenir is transforming the way the world connects, accelerating software network transformation for 250+ Communications Service Providers in over 120 countries, which serve more than 50% of the world’s subscribers. Role Summary What will you do Applied data science research to fight spam, scam and fraud attacks in SMS, MMS, e-mail and other mobile telecommunication protocols Helping mobile network operators worldwide in localization, identification, monetization and prevention of spam and fraud attacks Big Data analysis of Voice/SMS/MMS traffic (>100 million messages per day) Data cleaning and preprocessing (data wrangling), exploratory analysis, statistical analysis Machine learning, data mining, text mining in different languages Data visualization and presentation Uncovering activities of organized groups of spammers and fraudsters Researching new fraud techniques and designing algorithms for their detection and prevention Monitoring and preventing virus and malware distribution vectors in SMS/MMS Presenting results to customers, leading discussions about findings and best approaches to manage the fraud attacks . Key Responsibilities Key Responsibilities What will you work with Hands-on Experience of 2-4 Years in Statistical tools – R-studio, python Mavenir’s solution for identification of fraud and spam in mobile networks Unique data sets (Voice/SMS/MMS/RCS communication from all around the world) State of the art fraud detection algorithms Core mobile network systems and technologies Must have hands on expreience in Linux/Unix OS(Mandatory) Big data tools - Spark, ElasticSearch/OpenSearch, Kafka Data science and machine learning tooling - NumPy, SciPy, MLlib Job Requirements What we expect you already have Practical experience with statistical analysis or Business Intelligence Scripting languages (for example R, bash, python, perl, lua or similar) Data visualization and reporting Critical thinking and strong problem-solving skills Curiosity and willingness to learn new things Working proficiency in English We appreciate you already /have - Machine learning and Linux This position is based out from Gurugram location Accessibility Mavenir is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. If you require any assistance, please state in your application or contact your recruiter. Mavenir is an Equal Employment Opportunity (EEO) employer and welcomes qualified applicants from around the world, regardless of their ethnicity, gender, religion, nationality, age, disability, or other legally protected status.

Job Title: Data Scientist Location: Chandigarh (Work from Office) Experience Required: 3+ Years Company: SparkBrains Private Limited Job Description: We are looking for a Data Scientist with 3+ years of hands-on experience in Machine Learning, Deep Learning, and Large Language Models (LLMs). The ideal candidate should possess strong analytical skills, expertise in data modeling, and the ability to develop and deploy AI-driven solutions that add value to our business and clients. Key Responsibilities: 1) Data Collection & Preprocessing: Gather, clean, and prepare structured and unstructured data for model training and evaluation. 2) Model Development: Design, develop, and optimize machine learning and deep learning models to solve real-world business problems. 3) LLM Integration: Build, fine-tune, and deploy Large Language Models (LLMs) for various NLP tasks, including text generation, summarization, and sentiment analysis. 4) Feature Engineering: Identify relevant features and implement feature extraction techniques to improve model accuracy. 5) Model Evaluation & Optimization: Conduct rigorous evaluation and fine-tuning to enhance model performance and ensure scalability. 6) Data Visualization & Insights: Create dashboards and reports to communicate findings and insights effectively to stakeholders. 7) API Development & Deployment: Develop APIs and integrate AI/ML models into production systems. 8) Collaboration & Documentation: Collaborate with cross-functional teams to understand business requirements and document all processes and models effectively. Required Skills & Qualifications: Education: Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Machine Learning, or a related field. Experience: Minimum 3+ years of proven experience as a Data Scientist/AI Engineer. Technical Skills: 1) Proficiency in Python and relevant ML/AI libraries such as TensorFlow, PyTorch, Scikit-Learn, etc. 2) Hands-on experience with LLMs (e.g., OpenAI, Hugging Face, etc.) and fine-tuning models. 3) Strong understanding of Natural Language Processing (NLP), neural networks, and deep learning architectures. 4) Knowledge of data wrangling, data visualization, and feature engineering techniques. 5) Experience with APIs, cloud platforms (AWS, Azure, or GCP), and deployment of AI models in production. 6) Analytical & Problem-Solving Skills: Strong analytical mindset with the ability to interpret data and derive actionable insights. 7) Communication Skills: Excellent verbal and written communication skills to effectively collaborate with technical and non-technical teams. Why Join Us? - Opportunity to work on cutting-edge AI/ML projects. - Collaborative work environment with a focus on continuous learning. - Exposure to diverse industries and domains. - Competitive salary and growth opportunities. Job Type: Full-time Pay: ₹480,000.00 - ₹1,000,000.00 per year Benefits: Paid sick time Schedule: Day shift Supplemental Pay: Performance bonus Work Location: In person

PwC AC is hiring for Data scientist Apply and get a chance to work with one of the Big4 companies #PwC AC. Job Tit le : Data scientist Years of Experienc e: 3-7 years Shift Timin gs: 11AM-8PM Qualificati on: Graduate and above(Full time) About PwC CTIO – AI Engineering PwC’s Commercial Technology and Innovation Office (CTIO) is at the forefront of emerging technology, focused on building transformative AI-powered products and driving enterprise innovation. The AI Engineering team within CTIO is dedicated to researching, developing, and operationalizing cutting-edge technologies such as Generative AI, Large Language Models (LLMs), AI Agents, and more. Our mission is to continuously explore what's next—enabling business transformation through scalable AI/ML solutions while remaining grounded in research, experimentation, and engineering excellence. Role Overview We are seeking a Senior Associate – Data Science/ML/DL/GenAI to join our high-impact, entrepreneurial team. This individual will play a key role in designing and delivering scalable AI applications, conducting applied research in GenAI and deep learning, and contributing to the team’s innovation agenda. This is a hands-on, technical role ideal for professionals passionate about AI-driven transformation. Key Responsibilities Design, develop, and deploy machine learning, deep learning, and Generative AI solutions tailored to business use cases. Build scalable pipelines using Python (and frameworks such as Flask/FastAPI) to operationalize data science models in production environments. Prototype and implement solutions using state-of-the-art LLM frameworks such as LangChain, LlamaIndex, LangGraph, or similar. Also developing applications in streamlit/chainlit for demo purposes. Design advanced prompts and develop agentic LLM applications that autonomously interact with tools and APIs. Fine-tune and pre-train LLMs (HuggingFace and similar libraries) to align with business objectives. Collaborate in a cross-functional setup with ML engineers, architects, and product teams to co-develop AI solutions. Conduct R&D in NLP, CV, and multi-modal tasks, and evaluate model performance with production-grade metrics. Stay current with AI research and industry trends; continuously upskill to integrate the latest tools and methods into the team’s work. Required Skills & Experience 3 to 7 years of experience in Data Science/ML/AI roles. Bachelor’s degree in Computer Science, Engineering, or equivalent technical discipline (BE/BTech/MCA). Proficiency in Python and related data science libraries: Pandas, NumPy, SciPy, Scikit-learn, TensorFlow, PyTorch, Keras, etc. Hands-on experience with Generative AI , including prompt engineering, LLM fine-tuning, and deployment. Experience with Agentic LLMs and task orchestration using tools like LangGraph or AutoGPT-like flows. Strong knowledge of NLP techniques, transformer architectures, and text analysis. Proven experience working with cloud platforms (preferably Azure; AWS/GCP also considered). Understanding of production-level AI systems including CI/CD, model monitoring, and cloud-native architecture. (Need not develop from scratch) Familiarity with ML algorithms: XGBoost, GBM, k-NN, SVM, Decision Forests, Naive Bayes, Neural Networks, etc. Exposure to deploying AI models via APIs and integration into larger data ecosystems. Strong understanding of model operationalization and lifecycle management. Good to Have Experience with Docker, Kubernetes, and containerized deployments for ML workloads. Use of MLOps tooling and pipelines (e.g., MLflow, Azure ML, SageMaker, etc.). Experience in full-stack AI applications, including visualization (e.g., PowerBI, D3.js). Demonstrated track record of delivering AI-driven solutions as part of large-scale systems. Soft Skills & Team Expectations Strong written and verbal communication; able to explain complex models to business stakeholders. Ability to independently document work, manage requirements, and self-drive technical discovery. Desire to innovate, improve, and automate existing processes and solutions. Active contributor to team knowledge sharing, technical forums, and innovation drives. Strong interpersonal skills to build relationships across cross-functional teams. A mindset of continuous learning and technical curiosity. Preferred Certifications (at least two are preferred) Certifications in Machine Learning, Deep Learning, or Natural Language Processing. Python programming certifications (e.g., PCEP/PCAP). Cloud certifications (Azure/AWS/GCP) such as Azure AI Engineer, AWS ML Specialty, etc. Why Join PwC CTIO? Be part of a mission-driven AI innovation team tackling industry-wide transformation challenges. Gain exposure to bleeding-edge GenAI research, rapid prototyping, and product development. Contribute to a diverse portfolio of AI solutions spanning pharma, finance, and core business domains. Operate in a startup-like environment within the safety and structure of a global enterprise. Accelerate your career as a deep tech leader in an AI-first future.

osition: Data Scientist Location: Chennai, India (Work from Office) Experience: 2–5 years About the Opportunity: Omnihire is seeking a Data Scientist to join a leading AI-driven data‐solutions company. As part of the Data Consulting team, you’ll collaborate with scientists, IT, and engineering to solve high-impact problems and deliver actionable insights. Key Responsibilities: Analyze large, structured and unstructured datasets (SQL, Hadoop/Spark) to extract business-critical insights Build and validate statistical models (regression, classification, time-series, segmentation) and machine-learning algorithms (Random Forest, Boosting, SVM, KNN) Develop deep-learning solutions (CNN, RNN, LSTM, transfer learning) and apply NLP techniques (tokenization, stemming/lemmatization, NER, LSA) Write production-quality code in Python and/or R using libraries (scikit-learn, TensorFlow/PyTorch, pandas, NumPy, NLTK/spaCy) Collaborate with cross-functional teams to scope requirements, propose analytics solutions, and present findings via clear visualizations (Power BI, Matplotlib) Own end-to-end ML pipelines: data ingestion → preprocessing → feature engineering → model training → evaluation → deployment Contribute to solution proposals and maintain documentation for data schemas, model architectures, and experiment tracking (Git, MLflow) Required Qualifications: Bachelor’s or Master’s in Computer Science, Statistics, Mathematics, Data Science, or a related field 2–5 years of hands-on experience as a Data Scientist (or similar) in a data-driven environment Proficiency in Python and/or R for statistical modeling and ML Strong SQL skills and familiarity with Big Data platforms (e.g., Hadoop, Apache Spark) Demonstrated experience building, validating, and deploying ML/DL models in production or staging Excellent problem-solving skills, attention to detail, and ability to communicate technical concepts clearly Self-starter who thrives in a collaborative, Agile environment Nice-to-Have: Active GitHub/Kaggle portfolio showcasing personal projects or contributions Exposure to cloud-based ML services (Azure ML Studio, AWS SageMaker) and containerization (Docker) Familiarity with advanced NLP frameworks (e.g., Hugging Face Transformers) or production monitoring tools (Azure Monitor, Prometheus) Why Join? Work on high-impact AI/ML projects that drive real business value Rapid skill development with exposure to cutting-edge technologies Collaborative, Agile culture with mentorship from senior data scientists Competitive compensation package and comprehensive benefits

Proficiency with Python (Pandas, NumPy), SQL, and Java. Experience with LLMs, LangChain, and Generative AI technologies. Familiarity with ML frameworks (TensorFlow, PyTorch) and data engineering tools (Spark, Kafka). Microservices, CI/CD, ML Strong data analysis skills and ability to present findings to both technical and non-technical stakeholders. Proficient understanding of key data engineering concepts, such as data lakes, columnar formats, ETL tools, and BI tools. Knowledge in Machine Learning, NLP, Recommender systems, personalization, Segmentation, microservices architecture and API development. Ability to adapt to a fast-paced, dynamic work environment and learn new technologies quickly. Work in a team/ Independently. Excellent Written & Verbal Communication Skills Solid critical thinking and questioning skills. High degree of flexibility - willing to fill in the gaps rather than relying on othersStrong communication skills, especially in presenting data insights. Flexibility, problem-solving, and a proactive approach in a fast-paced environment

We are looking for talents for our Product R&D team to work on ever evolving Banking Platform. Data is one of the most valuable assets a business can have and potentially has a tremendous impact on its long-term success. Here is the opportunity for you to be the bridge between business and data. As a Data Scientist you can dive deep into gigantic data from multiple sources and build smart data driven solutions that change the face of your organization and define the industry. Skills To Highlight : AI/ML, Data Science, Python Work Location: Bangalore, Chennai, Hyderabad, Pune Experience Range: 2 - 16 years Requirements- Excellent analytical and problem-solving skills Experience using statistical computer languages (Python, SLQ, etc.) to manipulate data and draw insights from large data sets. Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks Should be able to host the models and make them api convertible. Good communication and presentation skills in order to explain your work to people who don't understand the mechanics behind data analysis Responsibilities- Working on Cutting Edge AI solutions in partnership with best of business in the industry. Propose innovate solutions and adopt quickly to dynamic learning environment. Build AI algorithms and design experiments to merge, manage, interrogate and extract data to supply tailored reports to colleagues, customers or the wider organization Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes. Bring about Explainable and Responsible AI. Conduct research from which you'll develop prototypes and proof of concepts Look for opportunities to use insights/datasets/code/models across other functions in the organization Stay curious and enthusiastic about using algorithms to solve problems and enthuse others to see the benefit of your work. Move fast, Break things, Learn, Make History, Stay Curious.

Design AI models using LLMs/VLMs to automate test case creation, extract data from text/images, analyze code for testability, optimize prompts, implement AI agents, and enhance testing workflows with accurate, scalable automation. Required Candidate profile Seeking Data Scientist with 5+ yrs in AI/ML, hands-on with LLMs, VLMs, prompt engineering & AI agents. Skilled in Python, automation, data extraction, code analysis & problem-solving.

Location: Bengaluru (Hybrid) Role Summary We’re seeking a skilled Data Scientist with deep expertise in recommender systems to design and deploy scalable personalization solutions. This role blends research, experimentation, and production-level implementation, with a focus on content-based and multi-modal recommendations using deep learning and cloud-native tools. Responsibilities Research, prototype, and implement recommendation models: two-tower, multi-tower, cross-encoder architectures Utilize text/image embeddings (CLIP, ViT, BERT) for content-based retrieval and matching Conduct semantic similarity analysis and deploy vector-based retrieval systems (FAISS, Qdrant, ScaNN) Perform large-scale data prep and feature engineering with Spark/PySpark and Dataproc Build ML pipelines using Vertex AI, Kubeflow, and orchestration on GKE Evaluate models using recommender metrics (nDCG, Recall@K, HitRate, MAP) and offline frameworks Drive model performance through A/B testing and real-time serving via Cloud Run or Vertex AI Address cold-start challenges with metadata and multi-modal input Collaborate with engineering for CI/CD, monitoring, and embedding lifecycle management Stay current with trends in LLM-powered ranking, hybrid retrieval, and personalization Required Skills Python proficiency with pandas, polars, numpy, scikit-learn, TensorFlow, PyTorch, transformers Hands-on experience with deep learning frameworks for recommender systems Solid grounding in embedding retrieval strategies and approximate nearest neighbor search GCP-native workflows: Vertex AI, Dataproc, Dataflow, Pub/Sub, Cloud Functions, Cloud Run Strong foundation in semantic search, user modeling, and personalization techniques Familiarity with MLOps best practices—CI/CD, infrastructure automation, monitoring Experience deploying models in production using containerized environments and Kubernetes Nice to Have Ranking models knowledge: DLRM, XGBoost, LightGBM Multi-modal retrieval experience (text + image + tabular features) Exposure to LLM-powered personalization or hybrid recommendation systems Understanding of real-time model updates and streaming ingestion

Job Title: Data Scientist Location: Chandigarh (Work from Office) Experience Required: 3+ Years Company: SparkBrains Private Limited Job Description: We are looking for a Data Scientist with 3+ years of hands-on experience in Machine Learning, Deep Learning, and Large Language Models (LLMs). The ideal candidate should possess strong analytical skills, expertise in data modeling, and the ability to develop and deploy AI-driven solutions that add value to our business and clients. Key Responsibilities: 1) Data Collection & Preprocessing: Gather, clean, and prepare structured and unstructured data for model training and evaluation. 2) Model Development: Design, develop, and optimize machine learning and deep learning models to solve real-world business problems. 3) LLM Integration: Build, fine-tune, and deploy Large Language Models (LLMs) for various NLP tasks, including text generation, summarization, and sentiment analysis. 4) Feature Engineering: Identify relevant features and implement feature extraction techniques to improve model accuracy. 5) Model Evaluation & Optimization: Conduct rigorous evaluation and fine-tuning to enhance model performance and ensure scalability. 6) Data Visualization & Insights: Create dashboards and reports to communicate findings and insights effectively to stakeholders. 7) API Development & Deployment: Develop APIs and integrate AI/ML models into production systems. 8) Collaboration & Documentation: Collaborate with cross-functional teams to understand business requirements and document all processes and models effectively. Required Skills & Qualifications: Education: Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Machine Learning, or a related field. Experience: Minimum 3+ years of proven experience as a Data Scientist/AI Engineer. Technical Skills: 1) Proficiency in Python and relevant ML/AI libraries such as TensorFlow, PyTorch, Scikit-Learn, etc. 2) Hands-on experience with LLMs (e.g., OpenAI, Hugging Face, etc.) and fine-tuning models. 3) Strong understanding of Natural Language Processing (NLP), neural networks, and deep learning architectures. 4) Knowledge of data wrangling, data visualization, and feature engineering techniques. 5) Experience with APIs, cloud platforms (AWS, Azure, or GCP), and deployment of AI models in production. 6) Analytical & Problem-Solving Skills: Strong analytical mindset with the ability to interpret data and derive actionable insights. 7) Communication Skills: Excellent verbal and written communication skills to effectively collaborate with technical and non-technical teams. Why Join Us? - Opportunity to work on cutting-edge AI/ML projects. - Collaborative work environment with a focus on continuous learning. - Exposure to diverse industries and domains. - Competitive salary and growth opportunities. Job Type: Full-time Pay: ₹480,000.00 - ₹1,000,000.00 per year Benefits: Paid sick time Schedule: Day shift Supplemental Pay: Performance bonus Work Location: In person

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. Optum’s Applied AI team is seeking an experienced and pragmatic Lead Data Scientist to drive the end-to-end ML lifecycle, from problem definition to robust, scalable model deployment and continuous improvement. This role demands deep expertise in machine learning, particularly with advanced transformer models and Large Language Models (LLMs), applied to complex domains such as clinical document understanding and semantic search. Primary Responsibilities: Own the end-to-end data science lifecycle – from problem definition and experimentation to deployment, monitoring, and continuous improvement Design and deploy robust, explainable, and scalable ML models for clinical document understanding, named entity recognition, context disambiguation, and semantic search across prospective and retrospective use cases Lead model development with a focus on production-readiness, incorporating solid MLOps, reproducibility, and experimentation practices Diagnose and optimize model performance, mitigate bias, and ensure analytical integrity, accuracy, and operational efficiency Work hands-on with multi-modal transformer models for tasks like NER, handwriting and form understanding, and document classification Leverage LLMs and SLMs for clinical reasoning, automated annotation, data generation, and downstream distillation Collaborate with cross-functional teams – including ML engineers, annotators, and clinical domain experts – to translate business challenges into deployable AI solutions Implement automated data labeling pipelines using techniques like active learning, weak supervision, and human-in-the-loop systems Ensure reproducibility and operational excellence through Git, DVC, CI/CD pipelines, and orchestration tools (e.g., Airflow, Kafka) Mentor and guide junior scientists and engineers, lead technical design reviews, and set best practices for model architecture and evaluation Continuously identify and close gaps in the ML platform, proposing and implementing innovative solutions to improve performance, scalability, and reliability 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 regards 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 Qualifications: Bachelor’s degree in Computer Science or adjacent field Advanced degree in a field that emphasizes the use of data science/statistics techniques (e.g., Computer Science, Applied Mathematics, or a field with direct NLP application) 5+ years of experience in Data Science with a focus on Machine Learning and Natural Language Processing Solid understanding of machine learning algorithms, NLP principles, and data modeling principles Proficiency in Python, R, and SQL. Experience in NLP libraries such as NLTK, SpaCy, and BERT Proven excellent Communication Skills Proven flexibility to provide support during critical business periods Proven ability to interpret and present complex data in various formats. Proven solid leadership skills, ability to meet deadlines, and work independently. An analytical mindset for addressing complex business needs Proven positive team player with a drive to learn and contribute to achieving results Willingness to work in varying shifts 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. #NJP External Candidate Application Internal Employee Application

It’s not just about your career or job title… It’s about who you are and the impact you will make on the world. Because whether it’s for each other or our customers, we put People First. When our people come together, we Expand the Possible and continuously look for ways to improve what we create and how we do it. If you are constantly striving to grow, you’re in good company. We are revolutionizing the way the world moves for future generations, and we want someone who is ready to move with us. It’s not just about your career or job title… It’s about who you are and the impact you will make on the world. Because whether it’s for each other or our customers, we put People First. When our people come together, we Expand the Possible and continuously look for ways to improve what we create and how we do it. If you are constantly striving to grow, you’re in good company. We are revolutionizing the way the world moves for future generations, and we want someone who is ready to move with us. Who are we? Wabtec Corporation is a leading global provider of equipment, systems, digital solutions, and value-added services for freight and transit rail as well as the mining, marine, and industrial markets. Drawing on nearly four centuries of collective experience across Wabtec, GE Transportation, and Faiveley Transport, the company has grown to become One Wabtec, with unmatched digital expertise, technological innovation, and world-class manufacturing and services, enabling the digital-rail-and-transit ecosystems. Wabtec is focused on performance that drives progress and unlocks our customers’ potential by delivering innovative and lasting transportation solutions that move and improve the world. We are lifelong learners obsessed with making things better to drive exceptional results. Wabtec has approximately 27K employees in facilities throughout the world. Visit our website to learn more! Company Description: Drawing on nearly four centuries of collective experience across Wabtec, GE Transportation and Faiveley Transport, the company has unmatched digital expertise, technological innovation, and world-class manufacturing and services, enabling the digital-rail-and-transit ecosystems. Wabtec is focused on performance that drives progress, creating transportation solutions that move and improve the world. Wabtec has approximately 27,000 employees in facilities throughout the world. Visit the company’s website at: http://www.WabtecCorp.com. Position Overview: We are seeking a talented Computer Vision Engineer with experience in image processing, deep learning, and software development to join our KinetiX team. The successful candidate will play a crucial role in translating existing code base to a state-of-the-art system while contributing to the development of advanced computer vision algorithms for laser and camera-based accurate detection and measurement of rail components at high speeds. Responsibilities: Develop machine vision system with Python/C++. Develop state-of-the-art computer vision algorithms, both traditional image processing and deep learning for accurate measurement and detection of rail components using laser and camera-based systems. Optimize algorithms for real-time performance and high-speed processing. Collaborate with cross-functional teams including hardware engineers, software developers, and domain experts to integrate computer vision solutions into our products. Conduct research to stay updated on the latest advancements in computer vision, deep learning, and image processing. Implement advanced AI annotation and active learning pipelines Requirements: Master's or Bachelor’s degree in Computer Science or related field. 2+ years of work experience with experience in image processing, computer vision, and deep learning. Proficiency in MATLAB and strong skills in Python and/or C++ programming languages. Experience with software development tools and libraries such as OpenCV, TensorFlow, PyTorch, etc. Good understanding of deep learning techniques and algorithms. Experience with point cloud is good to have Knowledge on MLOps and DevOps would be good to have. Knowledge on any cloud platform – GCP/Azure/AWS would be preferred. Excellent problem-solving skills and ability to work independently as well as in a team environment. Strong communication skills with the ability to articulate technical concepts effectively. Personal Attributes: Strong oral and written communication skills. Strong interpersonal and influencing skills. Effective team building and problem-solving abilities. Demonstrate the ability to quickly understand and learn new concepts, in analytics and other supporting technologies. Our Commitment to Embrace Diversity: Wabtec is a global company that invests not just in our products, but also our people by embracing diversity and inclusion. We care about our relationships with our employees and take pride in celebrating the variety of experiences, expertise, and backgrounds that bring us together. At Wabtec, we aspire to create a place where we all belong and where diversity is welcomed and appreciated. To fulfill that commitment, we rely on a culture of leadership, diversity, and inclusion. We aim to employ the world’s brightest minds to help us create a limitless source of ideas and opportunities. We have created a space where everyone is given the opportunity to contribute based on their individual experiences and perspectives and recognize that these differences and diverse perspectives make us better. We believe in hiring talented people of varied backgrounds, experiences, and styles… People like you! Wabtec Corporation is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or protected Veteran status. If you have a disability or special need that requires accommodation, please let us know. Who are we? Wabtec Corporation is a leading global provider of equipment, systems, digital solutions, and value-added services for freight and transit rail as well as the mining, marine, and industrial markets. Drawing on nearly four centuries of collective experience across Wabtec, GE Transportation, and Faiveley Transport, the company has grown to become One Wabtec, with unmatched digital expertise, technological innovation, and world-class manufacturing and services, enabling the digital-rail-and-transit ecosystems. Wabtec is focused on performance that drives progress and unlocks our customers’ potential by delivering innovative and lasting transportation solutions that move and improve the world. We are lifelong learners obsessed with making things better to drive exceptional results. Wabtec has approximately 27K employees in facilities throughout the world. Visit our website to learn more! http://www.WabtecCorp.com Our Commitment to Embrace Diversity: Wabtec is a global company that invests not just in our products, but also our people by embracing diversity and inclusion. We care about our relationships with our employees and take pride in celebrating the variety of experiences, expertise, and backgrounds that bring us together. At Wabtec, we aspire to create a place where we all belong and where diversity is welcomed and appreciated. To fulfill that commitment, we rely on a culture of leadership, diversity, and inclusion. We aim to employ the world’s brightest minds to help us create a limitless source of ideas and opportunities. We have created a space where everyone is given the opportunity to contribute based on their individual experiences and perspectives and recognize that these differences and diverse perspectives make us better. We believe in hiring talented people of varied backgrounds, experiences, and styles… People like you! Wabtec Corporation is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or protected Veteran status. If you have a disability or special need that requires accommodation, please let us know.

Position Title: Data Scientist Experience Level: 2-3 years Location: Delhi/NCR, India Position Summary and Scope We are seeking a motivated and innovative Data Scientist with 2-3 years of hands-on experience to join our dynamic team in Delhi/NCR. The ideal candidate will hold a B.E/B.Tech/M.Tech or MCA degree and possess strong Python programming skills. This role is central to our efforts in leveraging artificial intelligence and machine learning to drive business value. You will be responsible for the end-to-end development and deployment of AI/ML models, ensuring high standards of code quality. Areas of Responsibilities 1. AI/ML Development & Deployment: a. Design, develop, train, and validate machine learning and deep learning models to address business problems. b. Deploy these models into production environments, ensuring reliability and performance using appropriate frameworks. c. Collaborate with cross-functional teams including engineers, and domain experts to define problem statements and deliver AI-powered solutions. d. Process and analyze large datasets, both structured and unstructured, to extract meaningful insights and prepare data for modeling. 2. Code Quality & Best Practices: a. Write clean, efficient, well-documented, and production-ready Python code. b. Adhere to software development best practices, including version control (Git), code reviews, and testing methodologies. c. Ensure reproducibility and maintainability of all analytical work and model development processes. 3. Research & Innovation: a. Conduct research and experiment with novel algorithms and technologies to enhance existing solutions and develop new capabilities. b. Translate research findings into actionable development plans and contribute to a culture of innovation within the team. c. Participate in brainstorming sessions, workshops, and knowledge-sharing activities. Qualification and Experience Qualification: Bachelor of Technology (B.Tech)/ Master of Technology (M.Tech) or Master of Computer Applications (MCA) from a reputable institution. Experience: 2-3 years of proven hands-on experience in a Data Scientist role or a similar position involving AI/ML model development and deployment. Key Skills and Core Competencies 1.Functional Competencies: a. Strong analytical and problem-solving skills with the ability to translate business requirements into data science problems. b. Excellent understanding of statistical concepts and their application in data analysis (specifically differential statistics). c. Good communication and collaboration skills. d. Attention to detail and commitment to delivering high-quality work. 2. Technical Competencies: a. Proficiency in Machine Learning algorithms (e.g., regression, classification, clustering, ensemble methods). b. Good understanding and practical experience in Deep Learning frameworks and architectures (e.g., CNNs, RNNs, Transformers). c. Expertise in Natural Language Processing (NLP) techniques and libraries. d. Experience with Computer Vision (CV) concepts and tools. e. Strong knowledge of Differential Statistics and its application. f. Experience in API Development for model deployment (e.g., Flask, FastAPI). Key Tools and Platforms: - Programming Language: Expert proficiency in Python and its associated data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). - Version Control: Proficient in using Git for code management and collaboration. - Data Visualization: Experience with PowerBI and/or Tableau for creating insightful dashboards and reports. - Spreadsheet Tools: Proficiency in MS Excel for data manipulation and analysis.

Key Responsibilities: Build, train, and validate machine learning models for prediction, classification, and clustering to support NBA use cases. Conduct exploratory data analysis (EDA) on both structured and unstructured data to extract actionable insights and identify behavioral drivers. Design and deploy A/B testing frameworks and build pipelines for model evaluation and continuous monitoring. Develop vectorization and embedding pipelines using models like Word2Vec, BERT, to enable semantic understanding and similarity search. Implement Retrieval-Augmented Generation (RAG) workflows to enrich recommendations by integrating internal and external knowledge bases. Collaborate with cross-functional teams (engineering, product, marketing) to deliver data-driven Next Best Action strategies. Present findings and recommendations clearly to technical and non-technical stakeholders. Required Skills & Experience: Strong programming skills in Python, including libraries like pandas, NumPy, and scikit-learn. Practical experience with text vectorization and embedding generation (Word2Vec, BERT, SBERT, etc.). Proficiency in Prompt Engineering and hands-on experience in building RAG pipelines using LangChain, Haystack, or custom frameworks. Familiarity with vector databases (e.g., PostgreSQL with pgvector, FAISS, Pinecone, Weaviate). Expertise in Natural Language Processing (NLP) tasks such as NER, text classification, and topic modeling. Sound understanding of supervised learning, recommendation systems, and classification algorithms. Exposure to cloud platforms (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes) is a plus. Experience – 5+ years Job Type: Full-time Pay: ₹800,000.38 - ₹3,000,000.60 per year Benefits: Health insurance Paid time off Schedule: Day shift Location: Viman Nagar, Pune, Maharashtra (Preferred) Work Location: In person

At Silent Eight, we develop our own AI-based products to combat financial crimes that enable things like money laundering, the financing of terrorism, and systemic corruption. We’re a leading RegTech firm working with large international financial institutions such as Standard Chartered Bank and HSBC. Join us and help make the world a safer place! As a Data Scientist , you will own the end-to-end development of data solutions — from understanding business problems to deploying and maintaining models in production. You’ll work closely with customers and internal teams to build impactful, scalable solutions using machine learning, NLP, and other advanced techniques. Responsibilities Lead the data science lifecycle, from discovery and exploration to delivery and customer hand-off. Translate ambiguous business problems into clear problem statements and deliver working, production-ready solutions. Partner with customers and internal stakeholders to co-design use cases, define success criteria, and ensure models are adopted and successful in production. Build quick, iterative prototypes to test ideas, and work cross-functionally to deploy validated solutions into production environments. Own and improve pipelines for data integration, validation, and monitoring, ensuring long-term stability and performance. Analyze large-scale structured and unstructured datasets to extract insights and power model development. Apply machine learning, NLP, graph analytics, and other advanced techniques to solve challenging problems such as semantic search, or anomaly detection. Create and maintain internal data science tooling to streamline experimentation, testing, and delivery. Support internal teams and customers with issue resolution, ensuring data science solutions continue to deliver value post-deployment. Follow and advocate for best practices in MLOps, DataOps, and clean code to ensure reproducibility, maintainability, and scalability. Requirements Based in India (remote-first team; flexible working environment). Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field. Demonstrated experience with LLM technologies (LangChain, LlamaIndex, OpenAI APIs, etc.) and building NLP applications. Deep proficiency in Python: you write clean, modular, maintainable, and testable code suitable for real-world deployments. Solid SQL skills and hands-on experience with large-scale data (e.g., PySpark, BigQuery). Skilled in graph analysis, machine learning, and unstructured data workflows. Demonstrated ability to apply software engineering best practices (e.g., modular design, clean code, unit testing, CI/CD) in data science and machine learning projects, ensuring production-readiness and maintainability. Ability to drive end-to-end initiatives, from exploration to delivery, where solutions must be state-of-the-art, business-aligned, and regulatory-compliant. Comfortable working in Linux environments and using collaborative tools (e.g., Git, Docker). Strong communication skills—translate technical complexity into actionable business narratives, driving clarity, alignment, and decision-making across all levels of the organization. Mindset of ownership: you’re excited to see projects through, from first prototype to deployed, customer-facing solution. We offer: Full time employment contract with our PEO partner (InsourceIndia) Employee benefits: comprehensive health insurance, paid time-off, eligibility for Prudential Fund participation Work-life balance: flexible working hours, remote work forever Career growth: Promotion and great development opportunities within the organization

Data Scientist and Machine Learning Job Profile Job Overview Data scientists and machine learning engineers are in high demand across various industries, including technology, healthcare, finance, and e-commerce. Their primary responsibility is to collect, analyze, and interpret complex data to inform business decisions and drive growth. Key Responsibilities - Collecting and analyzing large data sets - Developing and implementing machine learning models - Creating data visualizations and reports - Collaborating with cross-functional teams to integrate data-driven insights - Building and maintaining databases and data systems - Identifying trends and patterns in data Skills Required - Proficiency in programming languages like Python, R, or SQL - Experience with machine learning frameworks and libraries - Strong understanding of statistics and data analysis - Data visualization skills using tools like Tableau or Power BI - Excellent communication and problem-solving skills

Job Title: Data Scientist – AI/ML, Snowflake, Databricks, Informatica, Power BI Experience : 5+ Years Location: Hyderabad (Hybrid) Required Skills & Qualifications: Bachelor’s or Master’s in Computer Science, Data Science, Engineering, or related field. 5+ years of hands-on experience in AI/ML model development. Strong experience with Snowflake and Databricks. Proven track record of working in Informatica for data integration with Power BI for reporting and dashboard development . Proficient in Python, SQL, and distributed computing. Preferred Qualifications: Certifications in Snowflake, Databricks, or Informatica. Familiarity with MLOps and CI/CD practices for ML deployment.

. Overall Focus: Designing, developing, training, deploying, and maintaining AI/ML models, encompassing both classical machine learning techniques and advanced Generative AI/Large Language Models (LLMs). General Responsibilities (Applicable to all AI/ML Engineers): Data preprocessing, feature engineering, model selection, and rigorous hyperparameter tuning. Developing robust and scalable APIs for AI/ML model consumption and integration. Implementing MLOps practices for model monitoring, performance tracking, and automated retraining strategies. Continuously researching and applying advancements in the AI/ML field to project work Required Specialized Skill Sets & Experience: A. Classical Machine Learning (Essential expertise): Deep practical expertise in algorithms such as regression, classification, clustering, anomaly detection, dimensionality reduction, time series analysis, etc. Strong statistical foundation, experimental design, and model evaluation techniques (e.g., cross-validation, precision/recall, ROC/AUC, F1-score). B. Generative AI & LLMs (Essential expertise): Core GenAI Development: Proficiency with open-source GenAI frameworks and libraries (e.g., Hugging Face Transformers, LlamaIndex, Langchain, FAISS). Deep experience in developing and fine-tuning RAG (Retrieval Augmented Generation) based GenAI solutions. Hands-on experience architecting and utilizing major cloud-based GenAI platforms (e.g., AWS Bedrock, Azure OpenAI Service, Google Vertex AI). Applied GenAI Capabilities: Leveraging various GenAI models for tasks such as: Text Processing: Advanced summarization, complex question answering, nuanced text generation, semantic search, knowledge extraction, and high-quality embedding generation. Image Processing (as relevant): Image generation/manipulation, content analysis, object recognition leveraging foundation models. Video Processing (as relevant): Video content analysis, summarization, event detection using GenAI approaches. Fundamental GenAI Understanding: Thorough understanding and practical strategies for addressing bias and hallucination in LLMs. Expertise in vector embeddings , various similarity comparison techniques (e.g., cosine similarity, dot product), and the practical differences between keyword-based vs. semantic search . C. Essential Cross-Cutting Experience (Relevant across the AI/ML team): Document Management & Processing: Strong experience with advanced OCR technologies and document digitization workflows. Proven ability in information extraction from diverse document types (structured, semi-structured, unstructured PDFs, images) and document understanding using ML/AI techniques. D. Desirable (Good to Have) Experience: Agentic AI Experience designing or implementing AI agents or multi-agent systems. MCP (Model Compliance/Criticality/Card Platform - please specify if this means something else in your context ) Relevant Project Experience: Experience aiwith platforms or processes for model governance, documentation, risk assessment, or similar.