3566 Data Scientist Jobs - Page 45

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 paypalglobaltalentacquisition@paypal.com. 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. REQ ID R0128304

The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Primary Skills – Python, AI, ML (Machine Learning) Gen AI – Generative AI + RAG, NLP, LLM, Deep Learning, Computer Vision, AWS, Cloud Or Azure Open AI (Any Cloud) Experience- 5+ to 12 Years Job Location- Kolkata Responsibilities More than 5 years of experience in Data Science and AI / ML domain Excellent understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc. Experience using business intelligence tools (e.g., Tableau, PowerBI) and data frameworks (e.g., Hadoop) Experience in Cloud native skills. Knowledge of SQL and Python; familiarity with Scala. Analytical mind and business acumen and Strong math skills (e.g., statistics, algebra) Experience with common data science toolkits, such as TensorFlow, KERAs, PyTorch, PANDAs, Microsoft CNTK, NumPy etc. Deep expertise in at least one of these is highly desirable. Experience with NLP, NLG, and Large Language Models like – BERT, LLaMa, LaMDA, GPT, BLOOM, PaLM, DALL-E, etc. Great communication and presentation skills. Should have experience in working in a fast-paced team culture. Experience with AI/ML like – AWS Sage Maker, Azure Cognitive Services, Google Colab, Jupyter Notebook, Hadoop, PySpark, HIVE, AWS EMR etc. Experience with NoSQL databases, such as MongoDB, Cassandra, HBase, Vector databases. Good understanding of applied statistics skills, such as distributions, statistical testing, regression, etc. Should be a data-oriented person with analytical mind and business acumen.

Role Overview: We are seeking a highly skilled Data Scientist specializing in Generative AI to design, develop, and deploy state-of-the-art AI models solving real-world business challenges. You will work extensively with Large Language Models (LLMs), Generative Adversarial Networks (GANs), Retrieval-Augmented Generation (RAG) frameworks, and transformer architectures to create production-ready solutions across various domains. Key Responsibilities: Design, develop, and fine-tune advanced Generative AI models such as LLMs, GANs, and Diffusion models. Implement and enhance RAG and transformer-based architectures for contextual understanding and document intelligence. Customize and optimize LLMs for specific domain applications. Build, maintain, and optimize ML pipelines and infrastructure for model training, evaluation, and deployment. Collaborate with engineering teams to integrate AI models into user-facing applications. Stay updated with the latest trends and research in Generative AI, open-source frameworks, and tools. Analyze model outputs for quality and performance, ensuring adherence to ethical AI standards. Required Skills: Strong proficiency in Python and deep learning frameworks including TensorFlow, PyTorch, and HuggingFace Transformers. Deep understanding of GenAI architectures including LLMs, RAG, GANs, and Autoencoders. Experience with fine-tuning models using techniques such as LoRA, PEFT, or equivalents. Knowledge of vector databases (e.g., FAISS, Pinecone) and embedding generation methods. Experience handling datasets, preprocessing, and synthetic data generation. Solid grasp of NLP concepts, prompt engineering, and safe AI practices. Hands-on experience with API development, model deployment, and cloud platforms (AWS, GCP, Azure). Job Type: Full-time Pay: From ₹100,000.00 per month Benefits: Flexible schedule Leave encashment Provident Fund Schedule: Day shift Monday to Friday Supplemental Pay: Overtime pay Work Location: In person

Direct Walk-in Drive event | Hexaware technologies, Gen AI Specialist AI/ML with GEN AI in Bangalore, Karnataka on 19th July [Saturday] 2025 NLP, Python, ML, GEN AI, Deep Learning, Chat GPT Dear Candidate, I hope you are doing well. We are thrilled to announce an exciting opportunity for talented professionals like yourself to join our team as a Data ScientistAI/ML with GEN AI OR a GEN AI Specialist We are hosting an open walk -in drive in Bangalore, Karnataka, on 19th July [Saturday], 2025 , and we believe your skills in GenAI Specialist/Data Scientist – AI/ML with GEN AI align perfectly with what we are seeking. Details of the Walk-in Drive: Date: 19th July [Saturday] 2025 Experience: 5 to 20 years Time: 9.30 AM to 4 PM Point of Contact: Azhagu Kumaran Mohan/+91-9789518386 Venue: Hexaware Technologies Ltd, Shantiniketan, 11th Floor, Crescent - 2 Prestige, Whitefield Main Rd, Mahadevapura, Bengaluru, Karnataka 560048 Work Location: Open (Noida/Bangalore/Pune/Mumbai/Dehradun/Chennai/Coimbatore) Key Skills and Experience: As a GenAI Specialist—AI/ML with GEN AI, we are looking for candidates who possess expertise in the following: ML, ML OPS NLP, Deep Learning GEN AI, Open AI, Azure ML, Prompt Engineering, Agenting frameworks Vector databases, LangChain, LlamaIndex, Data pipelines, Data Analytics, PyTorch, Hugging Face Roles and Responsibilities: As a part of our dynamic team, you will be responsible for: 4 -12 relevant years of experience in Python, NLP, Machine Learning and Deep learning Minimum 1 year of working experience on Gen AI (ChatGPT, LLAMA 2, etc), Vector databases, Lang Chain, Llama Index, Data pipelines, Data Analytics, PyTorch, Hugging Face, MLOps Experience in LLMs fine tuning and deployment Nice to have: Familiarity with server-side templating languages including Jinja 2 and Mako REST API, Flask API, Fast API, Django or Pyramid framework Knowledge of NER and graphs What to Bring: Updated resume Photo ID, Passport size photo How to Register: To express your interest and confirm your participation, please reply to this email with your updated resume attached. Walk-ins are also welcome on the day of the event. This is an excellent opportunity to showcase your skills, network with industry professionals, and explore the exciting possibilities that await you at Hexaware Technologies. If you have any questions or require further information, please feel free to reach out to me at AzhaguK@hexaware.com - +91-9789518386 We look forward to meeting you and exploring the potential of having you as a valuable member of our team.

Direct Walk-in Drive event | Hexaware technologies, Gen AI Specialist AI/ML with GEN AI in Bangalore, Karnataka on 19th July [Saturday] 2025 NLP, Python, ML, GEN AI, Deep Learning, Chat GPT Dear Candidate, I hope you are doing well. We are thrilled to announce an exciting opportunity for talented professionals like yourself to join our team as a Data ScientistAI/ML with GEN AI OR a GEN AI Specialist We are hosting an open walk -in drive in Bangalore, Karnataka, on 19th July [Saturday], 2025 , and we believe your skills in GenAI Specialist/Data Scientist AI/ML with GEN AI align perfectly with what we are seeking. Details of the Walk-in Drive: Date: 19th July [Saturday] 2025 Experience: 5 to 20 years Time: 9.30 AM to 4 PM Point of Contact: Azhagu Kumaran Mohan/+91-9789518386 Venue: Hexaware Technologies Ltd, Shantiniketan, 11th Floor, Crescent - 2 Prestige, Whitefield Main Rd, Mahadevapura, Bengaluru, Karnataka 560048 Work Location: Open (Noida/Bangalore/Pune/Mumbai/Dehradun/Chennai/Coimbatore) Key Skills and Experience: As a GenAI Specialist—AI/ML with GEN AI, we are looking for candidates who possess expertise in the following: ML, ML OPS NLP, Deep Learning GEN AI, Open AI, Azure ML, Prompt Engineering, Agenting frameworks Vector databases, LangChain, LlamaIndex, Data pipelines, Data Analytics, PyTorch, Hugging Face Roles and Responsibilities: As a part of our dynamic team, you will be responsible for: 4 -12 relevant years of experience in Python, NLP, Machine Learning and Deep learning Minimum 1 year of working experience on Gen AI (ChatGPT, LLAMA 2, etc), Vector databases, Lang Chain, Llama Index, Data pipelines, Data Analytics, PyTorch, Hugging Face, MLOps Experience in LLMs fine tuning and deployment Nice to have: Familiarity with server-side templating languages including Jinja 2 and Mako REST API, Flask API, Fast API, Django or Pyramid framework Knowledge of NER and graphs What to Bring: Updated resume Photo ID, Passport size photo How to Register: To express your interest and confirm your participation, please reply to this email with your updated resume attached. Walk-ins are also welcome on the day of the event. This is an excellent opportunity to showcase your skills, network with industry professionals, and explore the exciting possibilities that await you at Hexaware Technologies. If you have any questions or require further information, please feel free to reach out to me at AzhaguK@hexaware.com - +91-9789518386 We look forward to meeting you and exploring the potential of having you as a valuable member of our team.

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 paypalglobaltalentacquisition@paypal.com. 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. REQ ID R0128302

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 paypalglobaltalentacquisition@paypal.com. 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. REQ ID R0128304

Detailed job description - Skill Set: Data Scientist/Sr. Data Scientist (8+ Years Experience) Job Title: Data Scientist / Senior Data Scientist Job Summary: As a Data Scientist, you will design and implement machine learning models and advanced analytics solutions to solve complex business problems. You will work with large-scale data, build predictive models, and collaborate with engineering and product teams to deploy data-driven solutions. You will also lead initiatives in computer vision and deploy models using AWS services . Key Responsibilities: Develop and deploy machine learning models for classification, regression, clustering, and recommendation systems. Design and implement computer vision solutions using CNNs, object detection, and image segmentation techniques. Deploy machine learning models using AWS services such as SageMaker, Lambda, S3, and API Gateway. Perform feature engineering, model selection, and hyperparameter tuning. Analyze experimental results and iterate on model improvements. Collaborate with data engineers to ensure data pipelines are robust and scalable. Communicate technical findings to non-technical stakeholders. Stay updated with the latest research and trends in data science and AI. Required Skills & Qualifications: Masters or PhD in Computer Science, Statistics, Mathematics, or a related field. Strong programming skills in Python (pandas, scikit-learn, TensorFlow, PyTorch). Solid understanding of machine learning algorithms and statistical modeling. Hands-on experience with computer vision libraries such as OpenCV, TensorFlow, or PyTorch. Experience deploying models on AWS using services like SageMaker, Lambda, and S3. Familiarity with big data tools (e.g., Spark, Hadoop) and cloud platforms. Proficiency in SQL and data wrangling. Strong communication and collaboration skills. Mandatory Skills Data Scientist with Strong hands on skills in AI, ML models , computer Vision solutions, AWS Services , Python , Data Pipeline.

What will your day look like - Leading a dynamic team to deliver high impact risk solutions across credit risk (underwriting, exposure controls and line management). - Work with stakeholders across product management, data science, and engineering to build relationship with the partner teams and drive implementation of risk strategies - Manage challenging time constraints to ensure on-time delivery of projects. - Work closely with partner teams in identifying, evaluating, and recommending new data that helps in risk differentiation. - Analyze loss trends and simulate risk decisioning strategies that help optimize revenue, approval rates etc. - Work closely with data science team and recommends credit risk decisioning and model deployment strategy. - Build a risk scorecard that leverages both internal performance data and external performance data that will be leveraged for credit decisioning at both underwriting and account management reviews for existing customers. - Collates analysis and builds presentations that helps articulate the risk strategy for the leadership team. To Help Us Level Up, You Will Ideally Have : - Quantitative background in engineering, statistics, math, economics, business, or related disciplines. - 5+ years experience in analyzing data and using database query language (e. SQL) analysis and programming and developer tools such as Python, R, data bricks in a finance or analytics field. - 2+ years of experience in leading high performing team of analysts. - Experience in working with non-traditional data such as social media will be a big plus. - Prior model building experience is a plus but not critical. - Possesses an analytical mindset and strong problem-solving skills. - Attention to detail and ability to multitask. - Comfortable working in a fast-paced environment and dealing with ambiguity. - Possesses strong communication, interpersonal and presentation skills; and ability to engage and collaborate with multiple stakeholders across teams. - Extremely proactive communicator willing to raise flags when needed and keep team members informed of ongoing risk or fraud related activities.

Inviting applications for the role of Data Scientists with Computer vision experience! We are seeking a tenured and highly skilled Data Scientist with deep expertise in Computer Vision and a strong foundation in AI/ML modeling. The ideal candidate will not only lead the development of intelligent vision systems but will also serve as a technical mentor, providing guidance to junior data scientists on model selection, optimization, and deployment strategies. Experience in domains such as energy, power generation, industrial equipment, or manufacturing will be considered a strong advantage, as the role involves solving real-world visual AI/ML problems in industrial environments. Key Responsibilities: Lead CV Projects: Design and deliver Computer Vision models across a range of use cases (e.g., anomaly detection, visual inspections, OCR, predictive maintenance). Model Development: Develop, evaluate, and optimize state-of-the-art AI/ML models (e.g., CNNs, Vision Transformers, YOLO, Faster R-CNN, etc.). Mentorship: Guide junior and mid-level data scientists on best practices in feature engineering, model selection, evaluation metrics, and problem-solving strategies. Domain Translation: Translate complex industrial problems into AI-driven CV solutions that can scale in production environments. Collaboration: Work closely with software engineers, MLOps, and business teams to ensure model integration and operational success. Code Quality & Experimentation: Drive code modularity, reproducibility, and experimentation through use of ML pipelines, version control, and testing. Innovation & Research: Stay current with latest CV and AI/ML advancements and apply them appropriately to business problems. Stakeholder Communication: Present insights, models, and outcomes in a clear and impactful way to both technical and non-technical stakeholders. Required Qualifications: Masters or PhD in Computer Science, Machine Learning, AI, Electrical Engineering, or a related field. 812+ years of industry experience in building and deploying machine learning models, with a strong portfolio in Computer Vision. Deep expertise in ML frameworks and CV libraries such as PyTorch, TensorFlow, OpenCV, Detectron2, MMDetection, etc. Solid understanding of core AI/ML algorithms – classification, regression, segmentation, object detection, time-series, clustering, etc. Experience with MLOps tools (e.g., MLflow, DVC, Kubeflow) and cloud platforms (AWS/GCP/Azure). Strong communication, leadership, and team collaboration skills. Preferred Qualifications: Prior experience in domains such as energy, utilities, power generation, or industrial systems is highly preferred. Experience deploying CV models within real-time environments. Contributions to open-source CV projects or published research. Proficient in statistical modelling, machine learning techniques, AI algorithms, and generative model development using large language models such as GPT-3, BERT, or similar frameworks like RAG, Knowledge Graphs etc. Lead the development of CI/CD pipelines and standardize deployment frameworks. Strong Python programming skills. Why join Genpact? Lead AI-first transformation – Build and scale AI solutions that redefine industries Make an impact – Drive change for global enterprises and solve business challenges that matter Accelerate your career —Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills Grow with the best – Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace Committed to ethical AI – Work in an environment where governance, transparency, and security are at the core of everything we build Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training

Exp: 2+ years Job Responsibilities Undertake data collection, preprocessing, and analysis Build models to address business problems Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams Develop machine learning algorithms Conduct data-driven experiments to drive business decisions Required Skills Strong experience in machine learning and operations research with team leadership capabilities Proficiency in R , SQL , and Python Hands-on experience with business intelligence tools (e.g., Tableau , Power BI ) Strong math skills (e.g., statistics, algebra) Analytical mindset and solid business acumen Excellent communication and presentation skills Preferred Algorithms and Use Cases Text Analytics : Experience with Natural Language Processing (NLP) algorithms for sentiment analysis, text classification, named entity recognition Predictive Modeling : Familiarity with various models including regression, classification, and time series forecasting methods such as ARIMA , SARIMA , and Prophet

About US At Particleblack, we drive innovation through intelligent experimentation with Artificial Intelligence. Our multidisciplinary team—comprising solution architects, data scientists, engineers, product managers, and designers—collaborates with domain experts to deliver cutting-edge R&D solutions tailored to your business. Responsibilities Analyze raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms Collaborate with engineering team to bring analytical prototypes to production Generate actionable insights for business improvements "Statistical Modeling: Develop and implement core statistical models, including linear and logistic regression, decision trees, and various classification algorithms. Analyze and interpret model outputs to inform business decisions. Advanced NLP: Work on complex NLP tasks, including data cleansing, text preprocessing, and feature engineering. Develop models for text classification, sentiment analysis, and entity recognition. LLM Integration: Design and optimize pipelines for integrating Large Language Models (LLMs) into applications, with a focus on Retrieval-Augmented Generation (RAG) systems. Work on fine-tuning LLMs to enhance their performance on domain-specific tasks. ETL Processes: Design ETL (Extract, Transform, Load) processes to ensure that data is accurately extracted from various sources, transformed into usable formats, and loaded into data warehouses or databases for analysis. BI Reporting and SQL: Collaborate with BI teams to ensure that data pipelines support efficient reporting. Write complex SQL queries to extract, analyze, and visualize data for business intelligence reports. Ensure that data models are optimized for reporting and analytics. Data Storage and Management: Collaborate with data engineers to design and implement efficient storage solutions for structured datasets and semi structured text datasets. Ensure that data is accessible, well-organized, and optimized for retrieval. Model Evaluation and Optimization: Regularly evaluate models using appropriate metrics and improve them through hyperparameter tuning, feature selection, and other optimization techniques. Deploy models in production environments and monitor their performance. Collaboration: Work closely with cross-functional teams, including software engineers, data engineers, and product managers, to integrate models into applications and ensure they meet business requirements. Innovation: Stay updated with the latest advancements in machine learning, NLP, and data engineering. Experiment with new algorithms, tools, and frameworks to continuously enhance the capabilities of our models and data processes." Qualifications Overall Experience: 5+ years of overall experience working in a modern software engineering environment with exposure to best practices in code management, devops and cloud data/ML engineering. Proven track record of developing and deploying machine learning models in production. ML Experience: 3+ years of experience in machine learning engineering, data science with a focus on fundamental statistical modeling. Experience in feature engineering, basic model tuning and understanding model drift over time. Strong foundations in statistics for applied ML. Data Experience: 1+ year(s) in building data engineering ETL processes, and BI reporting. NLP Experience: 1+ year(s) of experience working on NLP use cases, including large scale text data processing, storage and fundamental NLP models for text classification, topic modeling and/or more recently, LLM models and their applications Core Technical Skills: Proficiency in Python and relevant ML and/or NLP specific libraries. Strong SQL skills for data querying, analysis, and BI reporting. Experience with ETL tools and data pipeline management. BI Reporting: Experience in designing and optimizing data models for BI reporting, using tools like Tableau, Power BI, or similar. Education: Bachelor’s or Master’s degree in Computer Science / Data Science,

Job Role: As a Senior Data Scientist, you will be responsible for designing, developing and productionizing of ML-driven solutions to business problems. You will work closely with local and onshore team of data scientists and stakeholders to understand their needs and pain points, and then translate those into actionable data science projects. Your primary focus will be statistical data analyses and helping build high-quality predictive models integrated with our products. The ideal candidate is an experienced data wrangler with a deep understanding of data science principles and a proven track record of delivering ML-driven solutions. S/he will effectively communicate complex technical concepts to technical and non-technical audiences. Key Responsibilities: Plan, productionize, and document scalable Data Science solutions Understand the business problem from stakeholders and convert it to actionable tasks Driven to create in-depth Exploratory Data Analysis and Feature Engineering; experienced with ML Ops Adept at standard and latest ML algorithms and Model explainability. Knowledge about causal inference is a great to-have Help mentor and guide Data Scientists Qualifications - Internal Key Requirements: Experience : At least 8 years of relevant experience Education: Bachelors or masters degree in computer science or mathematics, Statistics or a related field. PhD with lesser experience is welcome. Required Skills: Proficient in ML models across supervised and unsupervised learning, along with knowledge of Deep Learning models using TensorFlow / PyTorch Experienced in Natural Language Processing with focus on Transformer models Experienced in using Generative AI. At least one project implementation is expected Knowledge in MLOps is recommended Extensive coding experience in Python (and R) as well as scripting in SQL Visualization of outputs, using Tableau/ Power BI/ Streamlit, along with crisp communication Strong ability to assess the business problem and suggest applicable data science solutions Great at presenting and explaining model results to any kind of audience Personal Attributes: Ability to adapt and work with a distributed team Ability to manage multiple initiatives Ability to work with ambiguous requirements, seek clarity and manage risks. Ability to communicate complex concepts in a simple yet intelligent way.

Design and develop conversational AI solutions using large language models (e.g., OpenAI GPT, Anthropic, LLaMA) Implement prompt engineering, fine-tuning, and evaluation to ensure accurate, context-aware responses Integrate LLM-based chatbots with applications via APIs and frameworks (e.g., LangChain, OpenAI API) Conduct exploratory data analysis (EDA), statistical testing, and feature engineering Prototype predictive models (classification, regression, clustering) using Python libraries (pandas, scikit-learn, statsmodels) Develop, train, tune, and evaluate models; iterate on algorithm selection and hyperparameters Containerize model code (Docker) and package for deployment Design, build, and maintain scalable ETL workflows with AWS Glue, Step Functions, and Lambda Ingest, transform, and load data into S3, Redshift, Athena, and/or EMR

AppZen is the leader in autonomous spend-to-pay software. Its patented artificial intelligence accurately and efficiently processes information from thousands of data sources so that organizations can better understand enterprise spend at scale to make smarter business decisions. It seamlessly integrates with existing accounts payable, expense, and card workflows to read, understand, and make real-time decisions based on your unique spend profile, leading to faster processing times and fewer instances of fraud or wasteful spend. Global enterprises, including one-third of the Fortune 500, use AppZen’s invoice, expense, and card transaction solutions to replace manual finance processes and accelerate the speed and agility of their businesses. To learn more, visit us at www.appzen.com. About the role: We are looking for experienced Data Scientists with strong Python expertise to join our growing AI/ML team. You’ll collaborate with a world-class group of machine learning engineers and scientists working on cutting-edge NLP, document understanding, and enterprise automation use cases. Key Responsibilities: Design, build, and evaluate models for NLP, document extraction, classification, and generative tasks. Develop end-to-end ML pipelines from data pre-processing to model inference and monitoring. Work on productionizing models including model packaging, API integration, and deployment using Docker/Kubernetes. Analyse model behaviour, debug Python code and optimize performance in large-scale environments. Translate prototypes into scalable, production-grade ML services, with a focus on reliability and performance. Contribute to model and system monitoring, logging, and performance optimization. Collaborate with product managers and engineering teams to turn business requirements into ML-driven product features. Stay current with research and advancements in transformer-based architectures, LLMs (e.g., GPT, BERT), and generative AI techniques. Must-Have Qualifications: 2–5 years of professional experience in Python, with strong debugging, profiling, and performance optimization skills. Solid understanding of python data structures, algorithms, and software engineering best practices in ML development. Hands-on experience with NLP and modern ML frameworks like PyTorch, TensorFlow, or Hugging Face Transformers. Applied experience with transformer models, LLMs, or generative AI in real-world scenarios. Experience with model evaluation, including designing meaningful metrics, tracking model drift, and optimizing performance in production. Ability to manage multiple priorities in a fast-paced and collaborative environment. B.E./ B.Tech or higher in Computer Science, Engineering, or a related technical field. Nice-to-Haves: Experience building and deploying containerized ML services with Docker and CI/CD pipelines. Skilled in designing and consuming RESTful Python APIs (e.g., FastAPI, Flask). Experience with cloud services, particularly AWS (S3, SQS, etc.). Familiarity with databases such as PostgreSQL and Redis. Strong grasp of classical ML algorithms such as Logistic Regression, Random Forests, and XGBoost. Ability to choose between heuristic, rule-based, and model-driven solutions pragmatically (e.g., regex vs ML).

The HiLabs Story HiLabs is a leading provider of AI-powered solutions to clean dirty data, unlocking its hidden potential for healthcare transformation. HiLabs is committed to transforming the healthcare industry through innovation, collaboration, and a relentless focus on improving patient outcomes. HiLabs Team Multidisciplinary industry leaders Healthcare domain experts AI/ML and data science experts Professionals hailing from the worlds best universities, business schools, and engineering institutes including Harvard, Yale, Carnegie Mellon, Duke, Georgia Tech, Indian Institute of Management (IIM), and Indian Institute of Technology (IIT). As a Data Scientist at HiLabs, you will partner closely with a team of stake holders, product managers, and data engineers to solve real problems in healthcare domain. HiLabs is looking for great problem solvers who can tap into the potential of data and deliver scalable and robust data products. Our potential member would work on developing and implementing machine learning algorithms for various HiLabs Products and Solutions. Responsibilities Leveraging AI/ML techniques and solutions to identify and mathematically interpret complex healthcare problems. Deploy and optimize machine learning solutions on massive datasets using big data technologies. Develop and prototype AI algorithms and software tools. Implement enhancements to existing algorithmic/deep learning solutions. Conduct quantitative data analysis using a variety of datasets. Increase the efficiency and improve the quality of solutions offered. Understand business use cases and pull the necessary data from various sources to provide key insights to stakeholders. Build and deploy additional functionalities as per client requirements. Leverage recent advances in machine learning technologies and oversee the team’s training. For Lead/Sr. Data Scientists-Lead a team of Data Scientists, developers as well as clinicians to strategize, design and evaluate AI based solutions to healthcare problems. Desired Profile:. Bachelor’s Degree/Master’s Degree in Computer Science, Mathematics, Statistics, Physics, Electrical Engineering, Computer Engineering or related fields from tier 1 college. Hands-on Software Development Skills (Scala-Preferred). Experience or educational courses/projects in Machine Learning, and/or Text Mining Algorithms. Knowledge of statistical techniques, linear algebra, numerical optimization. Knowledge of ML theory such as bias variance tradeoff, regularization, loss functions and experienced in A/B testing. Know all the general best practices of Machine Learning. Ability to work closely with Domain experts to develop tools/algorithms needed to answer research questions in their studies. Excellent Communication Skills (with the ability to explain developed tools and ML algorithms to a non-technical audience). Ability to formulate operational problems in healthcare domain as technical problems that allows for reuse of leading research in the area. Proven ability to work independently to learn new technologies, techniques, processes, languages, platforms, systems. Strong analytical, inferential, critical thinking, and creative problem-solving skills. Self-starter with ability to work both independently and with a team. Preferred Qualifications Experience with Deep Learning Frameworks such as Keras, Tensorflow, PyTorch,Mxnet etc. Experience with interpretability of deep learning models. Big Data Skills (Hadoop, Spark, recent deep learning platforms). Experience with text mining tools and techniques including in areas of summarization, search (e.g. ELK Stack), entity extraction, training set generation (e.g. Snorkel) and anomaly detection. Expert software development skills including developing and maintaining production quality code HiLabs Total Rewards Competitive Salary, Accelerated Incentive Policies, H1B sponsorship, Comprehensive benefits package that includes ESOPs, financial contribution for your ongoing professional and personal development, medical coverage for you and your loved ones, 401k, PTOs & a collaborative working environment, Smart mentorship, and highly qualified multidisciplinary, incredibly talented professionals from highly renowned and accredited medical schools, business schools, and engineering institutes. CCPA disclosure notice - https://www.hilabs.com/privacy

Fraud Analytics 1. Develop Fraud Detection Models: Design and deploy predictive analytics models and machine learning algorithms to identify suspicious activities and patterns. 2. Enhance Systems: Continuously optimize fraud monitoring systems to improve detection accuracy and reduce false positives. 3. Data-Driven Insights: Analyse internal and external data sources to identify vulnerabilities and recommend proactive measures. 4. Performance Metrics: Define and track key performance indicators (KPIs) to measure the effectiveness of fraud detection strategies. Market Intelligence 1. Industry Monitoring: Stay updated on emerging fraud tactics, industry benchmarks, and regulatory changes. 2. Competitor Analysis: Analyze competitors’ risk management strategies to identify opportunities for improvement. 3. Market Trends: Provide actionable insights from market intelligence to inform strategic decision-making. Team Leadership 1. Build and Lead: Recruit, develop, and mentor a high-performing team of data analysts, data scientists, and market intelligence specialists. 2. Stakeholder Collaboration: Work closely with risk management, compliance, IT, and other departments to ensure alignment and effective communication. . Qualifications Education • Master’s degree in Data Science, Statistics, Economics, Business Administration, or a related field. Experience • 10+ years of experience in fraud analytics, risk management, or data analytics • Proven track record of developing and implementing fraud detection systems. • Experience with market intelligence tools and competitive analysis. Technical Skills • Expertise in data analytics tools (e.g., Python, R, SQL, SAS). • Familiarity with machine learning platforms and fraud detection software. • Knowledge of industry-specific regulations and compliance standards. Key Competencies • Strong analytical and problem-solving skills. • Excellent leadership and team-building abilities. • Strategic thinker with strong business acumen. • Effective communicator with the ability to convey complex data insights to non-technical stakeholders.

A Multi-Player Gaming Company - Head Digital Works is the pioneer & one of India's largest online skill-gaming companies that develop and operate zeal-driven applications for online gaming enthusiasts. With more than 60 million+ users and multiple brand verticals like A23Rummy and Cricket.com, We have come a long way in the past 18 years. What started from a small garage in 2006 with nothing but a dream - "To become India's leading online gaming portal" has now turned into one of the most profitable start-ups in India that have gone through cycles of angel, venture capital and private equity investments. We're a diverse group of thinkers and doers who are reimagining what's possible to make it easier for all of us to do what we love in new ways. Responsibilities: Develop an in-depth understanding of user journeys and generate data driven insights & recommendations to help product and customer success teams in meticulous decision-making Define and analyze key product data sets to understand customer and product behavior Work with stakeholders throughout the organization to identify opportunities for leveraging data to identify areas of growth and build strong data backed business cases around the same Perform statistical analysis/modelling on data and uncover hidden data patterns and correlations Perform feature engineering and develop and deploy predictive models/algorithms Coordinate with different teams to implement and deploy AI/ML driven models Conduct ad-hoc analysis around product areas for growth hacking and produce consumable reports for multiple business stakeholders Develop processes and tools to monitor and analyze model performance and data accuracy Technical Skills : At least 2-4 years of experience of working with real-world data and building statistical models Hands-on experience of programming with Python, including working knowledge of packages like Pandas, Numpy, SciPy, Scikit-Learn,Seaborn,Plotly etc Hands-on knowledge of SQL and Excel Deep understanding of key supervised and unsupervised ML algorithms – should be able to explain what is happening under the hood and their real-world advantages/drawbacks Strong foundation of statistics and probability theory Knowledge of advanced statistical techniques and concepts (properties of distributions, statistical tests, simulations, Markov chain etc.) and experience with applications Other Skills: Preferred Domain Experience: Gaming, E-Commerce, or any B2C experience Ability to break a problem into smaller chunks and design solution accordingly Ability to dive deeper into data, ask right questions, analyze with statistical methods and generate insights Ability to write modular, clean and well-documented code along with crisp design documents Strong communication and presentation skills What We Offer - Competitive salary Mediclaim Policy - Best in Industry Flexible working hours Career Development Program Best in Industry Reward and Recognition program Inclusive and Collaborative Work culture Complimentary snacks are served everyday If you would want to be a part of this multi-million user company, apply on the given link

Responsibilities: Develop an in-depth understanding of user journeys and generate data driven insights & recommendations to help product and customer success teams in meticulous decision-making Define and analyse key product data sets to understand customer and product behaviour Work with stakeholders throughout the organization to identify opportunities for leveraging data to identify areas of growth and build strong data backed business cases around the same Perform statistical analysis/modelling on data and uncover hidden data patterns and correlations Perform feature engineering and develop and deploy predictive models/algorithms Coordinate with different teams to implement and deploy AI/ML driven models Conduct ad-hoc analysis around product areas for growth hacking and produce consumable reports for multiple business stakeholders Develop processes and tools to monitor and analyse model performance and data accuracy Technical Skills : At least 1 years of experience of working with real-world data and building statistical models Hands-on experience of programming with Python, including working knowledge of packages like Pandas, Numpy, SciPy, Scikit-Learn,Seaborn,Plotly etc Hands-on knowledge of SQL and Excel Deep understanding of key supervised and unsupervised ML algorithms – should be able to explain what is happening under the hood and their real-world advantages/drawbacks Strong foundation of statistics and probability theory Knowledge of advanced statistical techniques and concepts (properties of distributions, statistical tests, simulations, Markov chain etc.) and experience with applications Other Skills: Preferred Domain Experience: Gaming, E-Commerce, or any B2C experience Ability to break a problem into smaller chunks and design solution accordingly Ability to dive deeper into data, ask right questions, analyse with statistical methods and generate insights Ability to write modular, clean and well-documented code along with crisp design documents Strong communication and presentation skills

Position Title: Data Scientist Location: Gurugram Experience: 3–4 Years Job Type: Full-Time Company: Sequifi | www.sequifi.com About the Role We are hiring a Data Scientist with 3–4 years of experience who has a strong foundation in data analysis, machine learning, and business problem-solving. This role is ideal for someone who is hands-on with modern tools and techniques, eager to explore new technologies, and enjoys working in a collaborative, fast-paced environment. Key Responsibilities Analyze complex datasets to uncover patterns, trends, and actionable insights. Build, validate, and deploy machine learning models for predictive analytics, classification, and clustering. Design and maintain efficient data pipelines and ETL processes. Create clear, interactive dashboards and reports using tools such as Power BI, Tableau, or Python visualization libraries. Collaborate with product managers, developers, and business analysts to understand requirements and deliver data-driven solutions. Conduct A/B testing and statistical analysis to support product decisions and optimizations. Continuously improve model performance based on feedback and business objectives. Required Qualifications Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field. 3–4 years of experience in data science or a similar role. Strong programming skills in Python (Pandas, NumPy, Scikit-learn), SQL, and familiarity with PHP or Node.js. Hands-on experience with data visualization tools such as Power BI or Tableau. Good understanding of machine learning algorithms, data preprocessing, and feature engineering. Experience working with structured and unstructured data, including NoSQL databases like MongoDB. Familiarity with cloud platforms such as AWS, GCP, or Azure is a plus. Must have Industry exposure of B2B SAAS in the IT Sector Soft Skills Strong analytical and problem-solving abilities. Effective communication and data storytelling skills. Ability to work independently as well as collaboratively in cross-functional teams. A mindset geared toward innovation, learning, and adaptability. Why Join Us Work on meaningful and challenging problems in a tech-focused environment. Join a young, supportive, and fast-moving team. Gain exposure to a combination of data science, product, and engineering. Opportunity to learn and grow continuously in a culture of innovation. If you’re passionate about using data to drive business impact, we’d love to hear from you. Apply now and grow with us at Sequifi. Budget : Upto 12 LPA Work Mode : Onsite, Monday to Friday

About the Organization : IndusInd Bank is a universal Bank with a widespread banking footprint with over 2.5 crore customers, over 5,000 distribution points and nearly 2,000 branches across the country. Bank is currently in its fifth planning cycle and is on a mission to attain scale with sustainability at its core and with a specific focus on leapfrogging digital banking capabilities. Accordingly, the digital team at IndusInd Bank is on a journey to create differentiated transformative customer experience in financial services. The team’s charter to redefine banking experience for clients making is much simpler, intelligent, and personalized. The data science team(digital portfolio, platform growth & engagement) will be part of the digital team at IndusInd Bank and will help uncover insights that help drive the digital strategy and optimize customer experience. About the role : You would be part of asset analytics and data science team and work on cutting edge problems for the bank. The individual will work closely with the stakeholders across risk, business, partnerships, digital and strategy in creating and refining strategies to augment profitability and growth for the bank. The incumbent will majorly be responsible with coming up data driven and actionable insights and presenting them to relevant stakeholders The candidate will work in close collaboration with digital product, growth, and marketing teams. Overall, Job Description Experience querying databases and using statistical computer languages: R, Python, SLQ, etc. Use predictive modelling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes. Experienced in working with large and multiple datasets, data warehouses and ability to pull data using relevant programs and coding. Well versed with necessary data reprocessing and feature engineering skills. Strong background in Statistical Analysis. Constantly look and research on ML algorithms and data sources for better prediction Work and coordinate with multiple stakeholders to identify opportunities for leveraging company data to drive business solutions, implement models and monitor outcomes. Assess the effectiveness and accuracy of new data sources and data gathering techniques and develop processes and tools to monitor and analyze model performance and data accuracy. Experience in establishing/scaling up data science functions Proven ability to discover solutions hidden in large datasets and to drive business results with their data-based insights Leverage analytics to increase customer lifetime value for clients acquired digitally by pitching right product to the right client at the right time Help define pricing models for digital value propositions for various segments of users / clients to ensure profitability of the portfolio and to ensure achievement of business outcomes Work with product, growth, and marketing teams across product/campaign lifecycle Empower product and marketing teams by creating automated dashboards and reports using PowerBI Skills/Capabilities Model development experience in R, Python, SAS Strong and in-depth understanding of statistics Strong strategic thought leadership and problem-solving skills with ability to tackle unstructured and complex business problems Ability to build & use relationships and influence broadly across the organization Results driven with strong project management skills, ability to work on multiple priorities Handling Big Data, Segmentation, Analytics, Machine Learning, Artificial Intelligence, Statistics and Hypothesis Testing

Hi, This is Laxmi from Harjai Computers Pvt. Ltd. (We are an ISO 9001: 20015 IT out Sourcing Company) We are currently providing IT Recruitment and Staffing Services to 200+ Companies which includes Cmm, Pcmm, Cmmi and reputed Mnc's in India and Abroad. Experience required 2+ Years Position : Data Scientist Notice Period Immediate to 7 days joiners Location - Mumbai - Kandivali Interested please email at laxmi.suryavanshi@harjai.com & send below details Current CTC Expected CTC Notice Period Location Preferences Please forward this mail to your friends !!!

As a highly skilled Senior Machine Learning Engineer, you will leverage your expertise in Deep Learning, Large Language Models (LLMs), and MLOps/LLMOps to design, optimize, and deploy cutting-edge AI solutions. Your responsibilities will include developing and scaling deep learning models, fine-tuning LLMs (e.g., GPT, Llama), and implementing robust deployment pipelines for production environments. You will be responsible for designing, training, fine-tuning, and optimizing deep learning models (CNNs, RNNs, Transformers) for various applications such as NLP, computer vision, or multimodal tasks. Additionally, you will fine-tune and adapt LLMs for domain-specific tasks like text generation, summarization, and semantic similarity. Experimenting with RLHF (Reinforcement Learning from Human Feedback) and alignment techniques will also be part of your role. In the realm of Deployment & Scalability (MLOps/LLMOps), you will build and maintain end-to-end ML pipelines for training, evaluation, and deployment. Deploying LLMs and deep learning models in production environments using frameworks like FastAPI, vLLM, or TensorRT is crucial. You will optimize models for low-latency, high-throughput inference and implement CI/CD workflows for ML systems using tools like MLflow and Kubeflow. Monitoring & Optimization will involve setting up logging, monitoring, and alerting for model performance metrics such as drift, latency, and accuracy. Collaborating with DevOps teams to ensure scalability, security, and cost-efficiency of deployed models will also be part of your responsibilities. The ideal candidate will possess 5-7 years of hands-on experience in Deep Learning, NLP, and LLMs. Strong proficiency in Python, PyTorch, TensorFlow, Hugging Face Transformers, and LLM frameworks is essential. Experience with model deployment tools like Docker, Kubernetes, and FastAPI, along with knowledge of MLOps/LLMOps best practices and familiarity with cloud platforms (AWS, GCP, Azure) are required qualifications. Preferred qualifications include contributions to open-source LLM projects, showcasing your commitment to advancing the field of machine learning.,

Join our Data Science, Analytics and AI team supporting Macquarie Asset Management and you will have an opportunity to work in a dynamic and collaborative environment. Our team enables a data-driven culture for decision-makers by leveraging on advancements in analytics, and AI capabilities in support of business growth. At Macquarie, our advantage is bringing together diverse people and empowering them to shape all kinds of possibilities. We are a global financial services group operating in 31 markets and with 56 years of unbroken profitability. You’ll be part of a friendly and supportive team where everyone - no matter what role - contributes ideas and drives outcomes. What role will you play? In this role, you will collaborate with various business and analytics leaders to generate insights and answer queries using statistical analysis and/or machine learning, natural language processing, and generative AI. As a Data Scientist, you will use your expertise to propose innovative ways to look at problems and using these approaches on available enterprise and third-party data. You are also expected to work with global teams in the organization across different time zones. What You Offer Bachelor’s or Master’s degree in computer science, applied mathematics, statistics, or related field, with 6 years of postgraduate experience or 4+ years in data analysis and predictive modeling Proficiency in machine learning algorithms, including deep learning techniques (GANs, VAEs, Transformers), and experience with ML Ops/AI Ops. Expertise in cloud platforms (AWS, Azure, GCP) for scalable model training and deployment, along with knowledge of classical data science and generative AI methodologies. Hands-on experience with statistical and predictive modeling (e.g., regression, clustering, neural networks) and at least two areas such as deep learning, NLP, causal inference, or time series forecasting Proficient in tools like SQL, R, or Python for data analysis We love hearing from anyone inspired to build a better future with us, if you're excited about the role or working at Macquarie we encourage you to apply. About Macquarie Asset Management Macquarie Asset Management is a global asset manager that aims to deliver positive impact. We’re trusted by institutions, pension funds, governments, and individuals to manage billions in assets globally. We provide access to specialist investment expertise across a range of capabilities including fixed income, equities, multi-asset solutions, private credit, infrastructure, green investments, natural assets, real estate, and asset finance. Our commitment to diversity, equity and inclusion We are committed to fostering a diverse, equitable and inclusive workplace. We encourage people from all backgrounds to apply and welcome all identities, including race, ethnicity, cultural identity, nationality, gender (including gender identity or expression), age, sexual orientation, marital or partnership status, parental, caregiving or family status, neurodiversity, religion or belief, disability, or socio-economic background. We welcome further discussions on how you can feel included and belong at Macquarie as you progress through our recruitment process. Our aim is to provide reasonable adjustments to individuals who may need support during the recruitment process and through working arrangements. If you require additional assistance, please let us know in the application process.

Role & responsibilities JD: Your main activities will be centralized around: Configuration of the domain concepts of the DataHub platform Implementation of rating calculation rules using R Align development with other Data Scientists Document Data mappings and configuration UnitTest of data ingestion flows and R computing functions Bugfixing and troubleshooting of issues Collaborate implementation with other software engineers Report to Project coordinator You are an experienced software engineer with: More then 5 years experience as a Data Scientist/Data Engineer Experience with implementations of statistical computing and data mining More then 5 years experience in R development and VS.Code Experience with a variety of database systems like SQL, Cassandra, Time Series DB, MongoDB Experience with Agile working in a DevOps team Knowledge of Azure Cloud components is a plus UTC time zone Preferred candidate profile