3566 Data Scientist Jobs - Page 43

Level: Assistant manager Location : Bangalore Interested candidates can share their resume with rhythmrhythm@kpmg.com Role & responsibilities: Work with business stakeholders and cross-functional SMEs to deeply understand business context and key business questions •Create Proof of concepts (POCs) / Minimum Viable Products (MVPs), then guide them through to production deployment and operationalization of projects •Influence machine learning strategy for Digital programs and projects •Make solution recommendations that appropriately balance speed to market and analytical soundness •Develop analytical / modelling solutions using a variety of commercial and open-source tools (e.g., Python, R, TensorFlow) •Formulate model-based solutions by combining machine learning algorithms with other techniques such as simulations. •Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations, scenarios, and stories. •Create algorithms to extract information from large, multiparametric data sets. •Deploy algorithms to production to identify actionable insights from large databases. •Compare results from various methodologies and recommend optimal techniques. •Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations, scenarios, and stories. •Develop and embed automated processes for predictive model validation, deployment, and implementation •Work on multiple pillars of AI including cognitive engineering, conversational bots, and data science Preferred candidate profile : Bachelor of Science or Bachelor of Engineering at a minimum Good hands-on skills in both feature engineering and hyperparameter optimization Advanced skills with statistical/programming software (e.g., R, Python) and data querying languages (e.g., SQL, Hadoop/Hive, Scala) Must to Have : Agent Framework, RAG Framework, Chunking Strategies, LLMs, AI on cloud Services, Open Source Frameworks like Langchain, Llama Index, Vector Database, Token Management, Knowledge Graph, Vision APIs, Prompt Engineering

personalisationmodellingKey Responsibilities Lead the end-to-end design, development, and deployment of machine learning/statistical models for real-world business applications. Collaborate with Product, Engineering, and Business teams to understand needs and translate them into data science problems. Build and productionize models using Python, SQL, and PySpark on large-scale datasets. Apply deep learning and advanced statistical techniques for tasks such as classification, regression, recommendation, and personalization. Perform data wrangling, feature engineering, model tuning, and evaluation. Monitor and manage ML model lifecycle using tools like MLflow and Airflow . Communicate technical insights and findings effectively to both technical and non-technical stakeholders. Stay updated on the latest trends in machine learning and AI, and integrate relevant advancements. Must-Have Skills & Qualifications 6+ years of hands-on experience in data science. Strong Python skills, including libraries such as NumPy , pandas , scikit-learn , TensorFlow/PyTorch . Proficiency in SQL and experience with PySpark or distributed data processing. Deep understanding of ML/DL algorithms, model development workflows, and statistical modeling. Proven ability to deploy and manage production-grade models at scale. Good-to-Have Skills Experience with NLP , time series forecasting , or unsupervised learning techniques. Familiarity with MLOps tools : MLflow, Airflow, Docker, Kubernetes. Exposure to data engineering principles , including batch/stream processing. Experience deploying ML APIs using FastAPI or similar frameworks. Knowledge of tools like Streamlit , Tableau , and version control systems (e.g., Git). Strong problem-solving skills and the ability to explain complex concepts clearly. Preferred Qualifications Masters degree in Computer Science, AI, or a related technical field. Experience in prompt engineering and fine-tuning large language models (LLMs). Familiarity with model governance and versioning practices. Contributions to open-source projects or published research in data science/AI domains.

Namaskaram! AjnaLens is looking for a Senior Data Scientist to join our Product Intelligence team at Thane (Maharashtra - India). This leadership role is designed for a seasoned professional who can not only dive deep into complex data but also guide product strategy, mentor junior data scientists, and influence key decisions at a strategic level. If you're passionate about transforming data into actionable insights that shape the future of AI-powered experiences and wearable technologies, we’d love to have you onboard. We’re also proud to share that Lenskart is now our strategic investor , a milestone that reflects the impact, potential, and purpose of the path we’re walking. Join us as we co-create the future of conscious technology. Read more here: The smartphone era is peaking. The next computing revolution is here. Top 3 Daily Tasks: Lead data analysis efforts, uncovering actionable insights to guide product and business strategy. Develop and implement advanced predictive models that forecast long-term impacts on customer retention and revenue. Mentor and guide junior data scientists, fostering a data-driven culture across cross-functional teams. Minimum Work Experience Required: 5+ years of experience in data science, with a proven track record in predictive modeling, A/B testing, and driving data strategy within product teams. Top 5 Skills You Should Possess: Expertise in advanced predictive modeling techniques and statistical analysis. Strong ability to lead data-driven initiatives, from experimentation to model deployment. Experience with A/B testing frameworks and data-driven decision-making in product development. Deep understanding of customer behavior analytics and how data drives retention and growth. Excellent communication skills to translate complex findings into actionable recommendations for leadership and product teams. What Would You Be Expected to Do: Lead the design and implementation of data models that predict product performance, retention rates, and revenue growth. Conduct advanced statistical analysis to assess and optimize the impact of AI features and interactions. Mentor junior data scientists, helping them develop skills and collaborate effectively across teams. Work closely with leadership, product managers, engineers, and designers to ensure alignment between data insights and product goal. Create dashboards and visualizations that present key metrics and findings in an accessible, actionable manner.

Grade M1 to M4 Reports to: Lead/Principal Data Scientist Is a Team leader No Team Size: -- Role Data Scientist/Sr Data Scientist Business: Not Applicable Department: Analytics Sub-Department Not Applicable Location: Mumbai Role As a Data Scientist specializing in to building Analytical Models for Banks/NBFCs/Insurance industry, your primary responsibility is to utilize machine learning algorithms or statistical models to optimize Business Processes across Customer Life Journey. You will be required to build the model pipeline, work on its deployment and provide the required support until its last leg of adoption. Your role involves collaborating with cross functional teams to develop predictive models that assess Credit Risk and/ or personalize Customer Experience. You will also be responsible for identifying relevant base for targeting (cross-sell/up-sell) and running these campaigns from time to time. Key Responsibilities 1.Writing Optimized Code Develop and maintain efficient, scalable code for model pipelines Implement best practices in coding to ensure performance and resource optimization 2. Version Control and Lifecycle Configuration Familiar with best practices to manage codebase changes with available resources Maintain and update configuration files to manage the lifecycle of data science models 3. Extracting Usable Information from Data Translate business needs into data-driven solutions and actionable insights Conduct thorough exploratory data analysis to uncover trends and patterns. Create and maintain feature repositories to document and manage features used in models 4. Building Robust Models Develop models that are reliable and generalize well across different time periods and customer segments. Continuously monitor and improve model performance to adapt to changing data and business conditions 5. Publishing Model Outcomes Communicate model results and insights effectively to stakeholders. Facilitate the adoption of models by ensuring they meet business needs and are user-friendly. Qualifications Master/PGDM in Statistics/Economics OR MCA/ IIT - Btech/Bachelors in Statistics + up to 2 years of relevant experience Role Proficiencies Must Have Skills Ms Excel & PowerPoint SQL Python Supervised & Unsupervised machine learning algorithms Strong Communication skills Collaborative Mind-set Pro-active Approach to problem solving & stakeholder engagement Good to have Skills SAS AWS S3/ Sagemaker Version Control

Data Scientist Location: India (Remote) Job type: Permanent Salary : up to INR 28 LPA A leading global technology partner, helping large enterprises navigate complex challenges and accelerate digital transformation. With deep expertise across industries, delivering tailored workflow and experience-focused solutions that align business goals with modern technology. As a Data Scientist you will be involved in data analysis, machine learning, and statistical modelling. You'll work across teams to develop predictive models, solve complex business problems, and drive data-led decision-making using large and diverse datasets. You will design and implement machine learning models to address key business needs and will design, implement machine learning models to address key business needs. Skills: Proficient in Python, strong in SQL. Hands-on experience with ML frameworks like TensorFlow, PyTorch, and Scikit-learn. Familiar with big data tools (e.g., Hadoop, Spark) and cloud platforms (AWS, Azure, GCP). Knowledge of NLP, computer vision, or time-series analysis is a plus. Ready to make an impact with data? Apply now and be part of a team that's shaping intelligent, data-driven solutions.

As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for: Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audiences. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides Preferred technical and professional experience Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms Experience and working knowledge in COBOL & JAVA would be preferred Experience in python and pyspark will be added advantage

Job Title: Senior Data Scientist Company: Volvo Group India Pvt. Ltd. Location: Bangalore, India Experience: 9 to 13 years Industry: Automotive / Engineering / R&D/Powertrain Engineering Functional Area: Data Science & Analytics Employment Type: Full Time, Permanent Job Summary: Volvo Group India is looking for an experienced Senior Data Scientist to join our Powertrain Engineering team. You will play a key role in driving data-driven decision-making across the product lifecycle, working on real-world problems involving engine calibration, development, and powertrain performance Key Responsibilities: Lead data science initiatives and mentor team members Work across the product lifecyclefrom concept to aftermarket Analyze customer usage and internal data to build predictive and optimization models Develop and deploy machine learning and Generative AI models Collaborate globally with cross-functional engineering and software teams Present insights using visualization tools like Power BI Required Skills & Experience: Masters in Mechanical/Automobile/Electronics/Mechatronics Engineering 7+ years in Data Science with hands-on Python, SQL, Azure, TensorFlow, R, Power BI Experience in engine calibration , powertrain analytics , or engine development Strong background in statistical modeling: regression, clustering, neural networks, time series Familiar with supervised, unsupervised, and reinforcement learning methods Ability to handle large datasets, data storytelling, and team leadership Experience with IoT-based data instrumentation is a plus Why Join Volvo Group? Be part of a global mission for sustainable mobility Collaborate with top talent worldwide Lead real-time innovations in the automotive domain Work in an agile, inclusive, and future-focused environment Interested please share your resume to kathiresaprabu.sanjeevi@volvo.com with the below details Total Experience: Relevant experience in Powertrain/Engine & Data science Current CTC: Expected CTC: Notice period: Current location: Interested to relocate to Bangalore: Yes/No Best Regards, Volvo group recruitment team.

Job Overview: We are seeking an experienced and innovative AI/ML Engineer with strong expertise in Generative AI , Large Language Models (LLMs) , and modern NLP techniques . The ideal candidate will have a proven track record in delivering end-to-end AI solutions, from model development to deployment, using state-of-the-art tools and frameworks. Key Responsibilities: Design, develop, and deploy scalable AI/ML models using LLMs Fine-tune transformer-based models for domain-specific applications Implement prompt engineering, RAG (Retrieval-Augmented Generation), and LLM evaluation techniques Work with vector databases and embedding techniques for semantic search and retrieval Build APIs and scalable endpoints for model deployment Collaborate with cross-functional teams to integrate AI solutions into products Ensure model quality, reproducibility, and maintainability using MLOps best practices Monitor and manage model lifecycle, performance, and retraining pipelines Required Skills: Strong programming skills in Python Hands-on experience with Hugging Face Transformers , PyTorch , or TensorFlow Expertise in LLMs , Generative AI , and Deep Learning Experience in: Fine-tuning large language models Prompt engineering & LLM evaluation RAG (Retrieval-Augmented Generation) Knowledge of vector databases (e.g., FAISS, Pinecone, Weaviate) Proficiency in deploying models via Docker , APIs , and cloud platforms (AWS, Azure, GCP) Understanding of ML Ops : model deployment, monitoring, and lifecycle management Strong analytical , problem-solving , and communication skills

As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another Document solution architectures, design decisions, implementation details, and lessons learned. Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Preferred technical and professional experience Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus Demonstrate a growth mindset to understand clients' business processes and challenges

𝐇𝐢𝐫𝐢𝐧𝐠: 𝐒𝐞𝐧𝐢𝐨𝐫 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐭𝐢𝐬𝐭 – LLMs, VLMs, Prompt Engineering & AI Agents 📍 𝐋𝐨𝐜𝐚𝐭𝐢𝐨𝐧: Bangalore / Hyderabad (Onsite) 💼 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞: 5+ Years (Relevant) Budget- 12-24lpa 🕐 𝐉𝐨𝐢𝐧 𝐈𝐦𝐦𝐞𝐝𝐢𝐚𝐭𝐞𝐥𝐲 We are looking for a Senior Data Scientist to join our POC project team focused on AI-driven automation of test case creation and refinement. If you're passionate about LLMs, VLMs, prompt engineering, and building real-world AI Agents — this is the role for you! 🔍 𝐊𝐞𝐲 𝐑𝐞𝐬𝐩𝐨𝐧𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬 • Design and implement AI solutions using LLMs, VLMs, and prompt engineering • Automate test case generation and refinement for user stories • Extract and interpret data from images, documents, and unstructured sources • Analyze codebases for testability using AI-driven techniques • Implement and fine-tune AI Agent frameworks for QA automation • Continuously optimize model performance and accuracy ✅ 𝐑𝐞𝐪𝐮𝐢𝐫𝐞𝐦𝐞𝐧𝐭𝐬 • 5+ years of experience in AI/ML or Data Science roles • Hands-on experience with LLMs (OpenAI, Claude, etc.) and prompt engineering • Practical knowledge of Vision Language Models (VLMs) • Strong background in AI-driven testing automation • Proficient in Python and common ML frameworks • Experience extracting structured data from unstructured content (images, docs, etc.) • Understanding of code analysis and test case design

Hiring for Data Scientist- AI Developer in HCLTech Interested candidate share your resume at selvakumari.b@hcltech.com with below format EXP- 5 to 15Years Location- Bangalore, Chennai, Noida, Hyderabad, Pune Name: Contact Number: Email ID: Current Location: Preferred Location: Total Experience: Relevant Experience: Current Organization: Current CTC: Expected CTC: Notice Period: Are you available for Interview this Weekend ? *Required Skills:* - *Technical Skills*: Proficiency in programming languages like Python, R, , and experience with machine learning algorithms, Deep learning -Strong foundation in statistics, mathematics, - *Communication*: Ability to communicate complex concepts clearly and effectively to stakeholders, and tailor messages for business applicability. - *Leadership*: Strong leadership and management skills, with the ability to build relationships with stakeholders and advocate for data-driven decision-making.

Build predictive & GenAI models (LLM chatbots, RAG pipelines) Deploy models using MLOps practices on cloud (AWS/GCP/Azure) Design A/B tests and run impact-focused data experimentsEnsure data quality, governance,

JOB RESPONSIBILITIES: The Data Scientists will leverage expertise in advanced statistical and modelling techniques to design, prototype, and build the next-generation analytics engines and services. They will work closely with the analytics teams and business teams to derive actionable insights, helping the organization in achieving its strategic goals. Their work will involve high levels of interaction with the integrated analytics team, including data engineers, translators, and more senior data scientists. Has expertise in implementing complex statistical analyses for data processing, exploration, model building and implementation Lead teams of 2-3 associate data scientists in the use case building and delivery process Can communicate complex technical concepts to both technical and non-technical audience Plays a key role in driving ideation around the modelling process and developing models. Can conceptualize and drive re-iteration and fine tuning of models Contribute to knowledge building and sharing by researching best practices, documenting solutions, and continuously iterating on new ways to solve problems. Mentors junior team members to do the same

Summary As a Data Scientist you will build and deploy data-driven solutions to support business goals. You will use your skills in data analytics, machine learning (supervised and unsupervised) and GenAI, to translate complex data into actionable insights. As a data scientist you will work closely with cross-functional team of data engineers, product owners, Devops and bridge the gap between technical implementation and business needs. Responsibilities (Other duties may be assigned.) Experiment and feature engineer with data to design and build machine/deep learning models with appropriate precision, recall, F1 scores to meet the use case need Prompt engineer to develop new and enhance existing Gen-AI applications. (Chatbots, RAG). Develop and implement advanced AI agents capable of performing autonomous tasks, decision-making, and executing requirement-specific workflows. Document and create experiment reports on the implementation and code in a way that is clear and accessible to both technical and non-technical team members. Perform advanced data analysis, manipulation, and cleansing to extract actionable insights from structured and unstructured data. Create scalable and efficient recommendation systems that enhance user personalization and engagement. Effectively communicate technical solutions and findings to both technical and non-technical stakeholders. Design and deploy AI-driven chatbots and virtual assistants, focusing on natural language understanding and contextual relevance. Implement and optimize supervised and unsupervised learning models for NLP tasks, including text classification, sentiment analysis, and language generation. Explore, understand, and develop state-of-the-art technologies for AI agents, integrating them with broader enterprise systems. Collaborate with cross-functional teams to gather business requirements and deliver AI-driven solutions tailored to specific use cases. Automate workflows using advanced AI tools and frameworks to increase efficiency and reduce manual interventions. Stay informed about cutting-edge advancements in AI, machine learning, NLP, and Gen AI applications, and assess their relevance to the organization. Education and/or experience: At least 5 years of experience working with data sciences. Preferably with a bachelors (OR Master) degree in Computer Science, Data Science, or Artificial Intelligence. Knowledge Skills and Abilities: Strong understanding of mathematics including vector algebra and probability theory for understanding and explaining machine learning (discriminative and generative) models. Strong expertise in data analytics, pattern recognition, machine learning, including predictive modeling and recommendation systems. Excellent communication & documentation skills to articulate complex ideas to diverse audiences. Hands-on experience with large datasets and using distributed systems for analytics and modelling. Advanced understanding of natural language processing (NLP) techniques and tools, including transformers like BERT, GPT, or similar models including open-source LLMs. Strong knowledge of cloud platforms (AWS) for deploying and scaling AI models. Proficiency with code versioning platforms like CodeCommit and GitHub. Technical Skills: Python proficiency and hands-on experience with libraries like (Pandas, Dask, Numpy, Matplotlib, NLTK, Sklearn, Pytorch and Tensorflow). Experience in prompt engineering for AI models to enhance functionality and adaptability. Familiarity with AI agent frameworks like LangChain, OpenAI APIs, or other agent-building tools. Advanced skills in Relational databases [Postgres], Vector Database, querying, analytics, semantic search, and data manipulation. Strong problem-solving and critical-thinking skills, with the ability to handle complex technical challenges. Hands-on experience working with API frameworks like Flask, FastAPI, etc. Proficiency with code versioning platforms like CodeCommit and GitHub. Preferred: Hands-on experience building and deploying conversational AI, chatbots, and virtual assistants. Familiarity with MLOps pipelines and CI/CD for AI/ML workflows. Experience with reinforcement learning or multi-agent systems. Language Skills Ability to speak the English language proficiently, both verbally and in writing. Work Environment The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Employee works primarily in a home office environment. The home office must be a well-defined work area, separate from normal domestic activity and complete with all essential technology including, but not limited to; separate phone, scanner, printer, computer, etc. as required in order to effectively perform their duties. Compliance with all relevant FINEOS Global policies and procedures related to Quality, Security, Safety, Business Continuity, and Environmental systems. Travel and fieldwork, including international travel may be required. Therefore, employee must possess, or be able to acquire a valid passport. Must be legally eligible to work in the country in which you are hired. FINEOS is an Equal Opportunity Employer. FINEOS 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.

We’re hiring for the below urgent position (Immediate Joiners only): Role: Senior Data Scientist – LLMs, VLMs, Prompt Engineering & AI Agents Exp: 5+ Years relevant Location: Bangalore/Hyderabad Type: CTH Budget: 1.50 LPM Must have: LLMs, VLMs, Prompt Engineering, AI Agents, Python, ML Frameworks, Unstructured Data Extraction. Please give profiles on this ASAP. Job Type: Full-time Pay: ₹96,000.00 - ₹120,000.00 per year Schedule: Day shift Work Location: In person

Our people work differently depending on their jobs and needs. From hybrid working to flexible hours, we have plenty of options that help our people to thrive. This role is based in India and as such all normal working days must be carried out in India. Job description 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 atlease four years of experience 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 in data science, analytics, and machine learning with strong understanding of statistical analysis, machine learning models and concepts, LLMs, and data management principles Proficiency in Python and relevant libraries such as Pandas, NumPy, and Scikit-learn Experience of cloud applications such as AWS Sagemaker and data visualisation tools Experience in synthesising, translating and visualising data and insights for key stakeholders Good communication skills with the ability to proactively engage with a wide range of stakeholders

Description About this position: We are eagerly seeking candidates with 3 to 12 years’ experience for a Data Scientist to join our dynamic team. The ideal candidate will play a pivotal role in data analysis, statistical modeling, and machine learning to extract valuable insights from data Role: Data Scientist Location: Pune/Hyderabad/Mumbai Experience: 3 to 12 years Job type: Full time Work type: Hybrid Impact you will realize: Job Responsibilities Individuals will be responsible for leveraging their expertise in data analysis, statistical modeling, and machine learning to extract valuable insights from data Conduct in-depth data analysis to identify trends, patterns and anomalies in large datasets using tools like Python, SQL. Develop solutions using Machine Learning and Generative AI Develop and apply statistical models to gain insights and make predictions based on historical data. Build, train and deploy machine learning models for various applications, such as predictive modeling, customer segmentation, demand/sales forecasting, predictive maintenance etc. Assess model performance, iterate on models and fine-tune hyperparameters to optimize predictive accuracy and generalization. Deploy machine learning models into production systems and make necessary updates or improvements. Ensure data privacy and compliance with relevant regulations Documentation of analytical methods, data pipelines, and model workflows Key skills you will require: Primary Skills Conduct in-depth data analysis to identify trends, patterns and anomalies in large datasets using tools like Python, SQL. Develop solutions using Machine Learning and Generative AI Develop and apply statistical models to gain insights and make predictions based on historical data. Build, train and deploy machine learning models for various applications, such as predictive modeling, customer segmentation, demand/sales forecasting, predictive maintenance etc. Assess model performance, iterate on models and fine-tune hyperparameters to optimize predictive accuracy and generalization. Deploy machine learning models into production systems and make necessary updates or improvements. Ensure data privacy and compliance with relevant regulations Documentation of analytical methods, data pipelines, and model workflows Why should you join Xoriant? Xoriant is a trusted provider of digital engineering services, renowned for building and operating complex platforms and products at scale. With three decades of software engineering excellence, we combine modern technology expertise in Data & AI (GenAI), cloud & security, domain and process consulting to solve complex technology challenges. We serve over 100 Fortune 500 companies and tech startups on their journey to becoming unicorns and beyond. As a "right-sized" company, we bring agility through our 5000+ passionate XFactors (our employees) from over 20 countries, fostering a culture focused on purpose and employee happiness. Want to experience life at Xoriant? In our inclusive workspace, we turn imagination into reality — everyday! Business for Purpose: Be part of a passionate team and create a better future through tech & innovation. Giving Back to Community: Build a stronger business and community by volunteering and make a positive impact in the community. Rise to Sustain: Support your career growth in a way that helps ensure long-term success. Continuous Learning: Stay curious and keep learning with us to drive innovation. Wellness First: Prioritize well-being with multiple health benefits & experience work-life balance. Rewards & Recognition: Value your work with meaningful rewards and recognitions. One Xoriant Family: Celebrate the joy of diversity, inclusivity and togetherness through festivals. Candid Connects: Connect directly with leaders and voice your opinion. Culture of Ideation: Be a trailblazer, bring new ideas to the fore and realize them through engineering. If there’s an XFactor in you, we have a chair dedicated to your name. Apply now :- To know more about Xoriant, please visit : www.xoriant.com Important Notice: We have been alerted that some job candidates, who posted their resumes on specific websites and portals, have been approached by imposters posing as Xoriant and making deceptive offers using Xoriant branding. Xoriant communications from website, official email addresses, and verified social media accounts only should be considered legitimate. Xoriant will never ask for payment during the recruitment process, nor have we authorized any external agencies to collect a fee on our behalf. Avoid sharing your personal details until you verify the offer's legitimacy. Cross-check the credentials of anyone claiming to represent Xoriant with our official HR department. If you receive any suspicious job offers or fraudulent communication bearing Xoriant branding, contact us at [email protected] immediately. Equal Employment Opportunity Statement: We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, gender, national origin, age, disability, or veteran status. Our inclusive workplace values diversity and ensures that all employees are treated fairly and with respect, promoting a culture of belonging. We strive to create a supportive environment where everyone has the opportunity to succeed and contribute to our collective success. Qualifications Bachelors or master’s with Computer Science or related field Primary Location : Pune Other Locations : Mumbai Job : Delivery Employee Status : Permanent Job Posting : Jul 17, 2025, 3:30:36 AM Primary Skills. : Generative AI:Open Source LLMs:Llama-2:Azure Open AI:AWS Bedrock Secondary Skills. : Python:Azure ML Job Status : N

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

Job Title: Data Scientist (Hyderabad) Job Description: We are looking for a fresh graduate with strong Python and machine learning skills to join our team as a Data Scientist in Hyderabad . This is an exciting opportunity to work on impactful machine learning projects, primarily focused on structured data for US healthcare clients . Key Responsibilities: Analyze and interpret structured datasets to extract meaningful insights. Develop and implement machine learning models tailored to healthcare use cases. Collaborate with cross-functional teams including data engineers and domain experts to build scalable AI solutions. Automate data processing workflows and contribute to the development of robust data pipelines. Present findings and model performance to both technical and non-technical stakeholders. Stay updated with the latest trends in machine learning, healthcare analytics, and generative AI. Support research and experimentation with Large Language Models (LLMs) for potential integration into healthcare-focused applications. Qualifications: Recent graduate in Computer Science, Data Science, or a related field. Strong proficiency in Python and libraries such as Pandas, NumPy, and Scikit-learn. Solid understanding of machine learning algorithms and their practical applications. Experience working with structured data and basic data visualization tools. Familiarity with SQL and database querying. Good communication skills and ability to work in a collaborative team environment. Preferred Skills: Exposure to healthcare data or healthcare analytics projects. Familiarity with cloud platforms (AWS, GCP, etc.). Knowledge of version control tools like Git. Understanding of model evaluation and deployment practices. Interest or experience in working with LLMs and generative AI . What We Offer: Full-time, on-site role based in Hyderabad. Opportunity to work on real-world healthcare AI projects. Mentorship and learning opportunities in a collaborative team. Competitive salary and benefits.

Job Description: You will work with Being part of the refining Team of bp. These teams provides daily operational data management, data engineering and analytics support to this organization across a broad range of disciplines, applications and business requirements. Let me tell you about the role: A data scientist applies scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data. Their key responsibilities include collecting and analyzing large sets of data, using machine learning algorithms, statistical models, and data processing techniques to predict future trends and provide actionable insights. A machine learning engineer designs and develops artificial intelligence (AI) systems that can learn and make decisions autonomously. Their key responsibilities include creating and optimizing machine learning models, developing algorithms that enable machines to perform tasks without explicit programming, and working with large datasets to train these models. They collaborate with data scientists, software engineers, and domain experts to implement machine learning solutions that address specific business needs. Additionally, machine learning engineers are responsible for ensuring the scalability and efficiency of machine learning systems, continuously improving model performance through rigorous testing and validation, and staying updated with the latest advancements in the field to integrate cutting-edge techniques into their work. What you will deliver Part of a cross-disciplinary team, working closely with other data scientists, data engineers software engineers, data managers and business partners. Build scalable, re-usable, impactful data science products, usually containing statistical or machine learning algorithms, in collaboration with data engineers and software engineers. Carry out data analyses to yield actionable business insights. Adhere to and advocate for data science best practices (e.g. technical design, technical design review, unit testing, monitoring & alerting, checking in code, code review, documentation). Present results to peers and senior management. Actively contribute to improve developer velocity. Mentor others. What you will need to be successful (experience and qualifications) MSc or PhD degree in a quantitative field. Hands-on experience designing, planning, prototyping, productionizing, maintaining and documenting reliable and scalable data science products in complex environments. Applied knowledge as part of a team (if not leading) of data science tools and approaches across all data lifecycle stages. Thorough understanding of underlying mathematical foundations of statistics and machine learning. Development experience in one or more object-oriented programming languages (e.g. Python, Go, Java, C++) Basic SQL knowledge. Customer-centric and pragmatic mindset. Focus on value delivery and swift execution, while maintaining attention to detail. Strong stakeholder management and ability to lead large organizations through influence. Continuous learning and improvement mindset. Desired Skills: Experience with big data technologies (e.g. Hadoop, Hive, and Spark) is a plus. Knowledge of experimental design and analysis is a plus. Familiarity and experience with common Energy domain data objects and formats About bp Our purpose is to deliver energy to the world, today and tomorrow. For over 100 years, bp has focused on discovering, developing, and producing oil and gas in the nations where we operate. We are one of the few companies globally that can provide governments and customers with an integrated energy offering. Delivering our strategy sustainably is fundamental to achieving our ambition to be a net zero company by 2050 or sooner!

Role - Python Developer Location - Hyderabad Notice Period - Immediate to 30 Days Skills - Python, Numpy, Pandas, Json, Github. Job Summary We are seeking an experienced Python Developer with 5- 11 years of experience to join our team. The ideal candidate will have a strong background in Python, Json and Github experience.

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities. Job Description Summary: What you need to know about the role- This role will drive critical business insights for senior leadership to tackle key strategic questions and improve how we operate as a business. You will facilitate important changes that will shape the future of PayPal leveraging data and AI to drive next-level fraud risk insights. Meet our team Join PayPal’s Global Fraud Protection team, a dynamic and mission-critical group dedicated to safeguarding our platform and customers from a wide range of risks—including identity fraud, account takeovers, stolen financial information, and credit-related threats. This team plays a vital role in protecting PayPal’s bottom line, enabling secure global growth, and ensuring a seamless and trustworthy customer experience. This is a unique opportunity to work at the intersection of data, strategy, and fraud prevention—helping shape the future of secure digital commerce at PayPal. Job Description: Essential Responsibilities: Develop and implement data science models and algorithms. Analyze and interpret complex data sets. Ensure data quality and integrity. Collaborate with stakeholders to understand data requirements. Optimize data processes for efficiency and performance. Perform advanced statistical analysis and reporting. Minimum Qualifications: Minimum of 2 years of relevant work experience and a Bachelor's degree or equivalent experience. For the majority of employees, PayPal's 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: At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. 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: To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx 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. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at [email protected] . 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.

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities. Job Description Summary: What you need to know about the role- This role will drive critical business insights for senior leadership to tackle key strategic questions and improve how we operate as a business. You will facilitate important changes that will shape the future of PayPal leveraging data and AI to drive next-level fraud risk insights. Meet our team Join PayPal’s Global Fraud Protection team, a dynamic and mission-critical group dedicated to safeguarding our platform and customers from a wide range of risks—including identity fraud, account takeovers, stolen financial information, and credit-related threats. This team plays a vital role in protecting PayPal’s bottom line, enabling secure global growth, and ensuring a seamless and trustworthy customer experience. This is a unique opportunity to work at the intersection of data, strategy, and fraud prevention—helping shape the future of secure digital commerce at PayPal. Job Description: Essential Responsibilities: Develop and implement data science models and algorithms. Analyze and interpret complex data sets. Ensure data quality and integrity. Collaborate with stakeholders to understand data requirements. Optimize data processes for efficiency and performance. Perform advanced statistical analysis and reporting. Minimum Qualifications: Minimum of 2 years of relevant work experience and a Bachelor's degree or equivalent experience. For the majority of employees, PayPal's 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: At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. 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: To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx 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. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at [email protected] . 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.

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. We are seeking a passionate and innovative Data Scientist to join the Innovation team. This role focuses on designing, developing, and deploying advanced AI solutions with an emphasis on Generative AI, Retrieval-Augmented Generation (RAG), and deep learning. You will collaborate with cross-functional teams to build intelligent systems that leverage large language models (LLMs), embedding pipelines, and cutting-edge AI frameworks. Primary Responsibilities: Develop and fine-tune LLM-based models for tasks such as summarization, Q&A, and content generation Design and implement RAG pipelines using tools like LangChain and LlamaIndex Collaborate with MLOps and engineering teams to deploy and monitor AI models in production environments Conduct experiments and research to evaluate model performance and improve accuracy and efficiency Contribute to the development of reusable components for GenAI applications Stay current with advancements in deep learning, transformers, and generative modeling 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 or Master’s degree in Computer Science, Data Science, or a related field 3+ years of experience in data science, machine learning, or AI research Hands-on experience with LLMs, RAG architectures, and deep learning models Experience deploying models in cloud environments such as Azure or AWS Solid understanding of NLP, transformers, and model evaluation techniques Familiarity with Agile methodologies and collaborative development practices Technical Skills: Languages & Frameworks: Python, SQL, PyTorch, TensorFlow, Scikit-learn GenAI & RAG: LangChain, LlamaIndex, Hugging Face Transformers, Prompt Engineering, Embedding Pipelines MLOps & Deployment: MLflow, Docker, Azure ML, Databricks Data Engineering: Apache Spark, ETL Pipelines Version Control & CI/CD: Git, Azure DevOps Preferred Qualifications: Experience with vector databases (e.g., Azure AI Search, FAISS, Pinecone). Knowledge of knowledge graphs and semantic search. Exposure to reinforcement learning or diffusion models. 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.

You'll need to have: Bachelors degree in Computer Science, Statistics, Engineering, Mathematics, or a related quantitative field. Six or more years of professional experience in data science, machine learning, or a related role. Expert-level hands-on proficiency in Python and its core data science libraries (e.g., Pandas, NumPy, Scikit-learn, Matplotlib). Deep theoretical and practical knowledge of a wide range of machine learning algorithms (e.g., classification, regression, clustering, ensemble methods) and deep learning. Proven hands-on experience developing and deploying Generative AI solutions, with a strong understanding of LLMs, transformers, and vector databases. Experience with Multi-Modal RAG systems (handling text, images, and other data types). Strong proficiency in SQL for complex data extraction, manipulation, and analysis on large-scale datasets. Hands-on experience with cloud computing platforms, specifically Google Cloud Platform (GCP) and its AI/ML services. Even better if you have: A Master’s or Ph.D. in a relevant quantitative field. Practical experience in developing AI agents using frameworks like LangChain, Agent Development Kit (ADK), or LlamaIndex. Experience in designing and implementing robust LLM evaluation metrics and frameworks (e.g., RAGAS, ARES, TruLens) Experience with voice and speech technologies, such as Speech-to-Text (STT), Text-to-Speech (TTS), and building conversational AI or voicebot systems. Experience with MLOps/LLMOps principles and tools (e.g., Docker, Kubernetes, CI/CD pipelines for models, MLflow). GCP Professional Machine Learning Engineer certification.