2694 Data Scientist Jobs - Page 28

Expertise in advanced natural language processing (NLP), and AI Modelling. Proficiency in SQL, Python or R, Looker for data analysis and machine learning. Familiarity with agile methodologies and experience in managing AI projects . Any internship or Citification will be added advantage . Good Communication

Job Title: Data Scientist Location: Noida Type: Full-Time Experience Level: 1–2 years Industry: Artificial Intelligence, Machine Learning, Data Science About the Role We are looking for a self-motivated Data Scientist to join our AI team focused on GenAI applications. We work at the intersection of multi-modal modeling, Retrieval-Augmented Generation (RAG), and real-time machine learning systems. You’ll collaborate with a high-impact team to design, prototype, and deploy next-generation AI solutions, especially around document understanding and multi-modal tasks. Key Responsibilities Design and implement state-of-the-art GenAI solutions, involving multi-modal, document understanding models and agents. Build and optimize RAG pipelines , including knowledge of various RAG architectures. Develop and maintain agentic workflows using tools like LangGraph, LangChain . Work with large-scale datasets and ensure efficient data processing pipelines. Perform statistical analysis, algorithm development, and performance tuning. Working with opensource LLMs and deploying them on serving frameworks such as sglang and vllm. Stay up to date with the latest developments in GenAI and ML, and actively contribute to knowledge sharing. Required Qualifications Bachelor’s degree (Master’s preferred) in Computer Science, Data Science, AI/ML, or a related field. 1–2 years of experience working in machine learning, data science, or AI roles. Strong command of Python and familiarity with R or other scripting languages. Hands-on experience with deep learning , transformer-based models , and multi-modal learning . Proficiency in AI/ML frameworks and libraries (e.g., PyTorch, TensorFlow, Hugging Face Transformers). Strong understanding of statistics, linear algebra, and probability theory. Experience working with cloud environments , preferably Azure . Exposure to OpenAI , Anthropic , Mistral , or similar APIs and deployment of open-source models (LLaMA, MPT, etc.). Demonstrated experience in document AI , vision-language models , or OCR-based understanding systems . Preferred Skills Experience with LangGraph , CrewAI , Autogen , or similar orchestration frameworks. Working knowledge of vector databases (e.g., Qdrant, Weaviate, Pinecone) and embedding search techniques . Exposure to Kubernetes , Docker , or ML model deployment workflows . Curiosity-driven mindset with a passion for learning and experimenting with the latest in AI research. Why Join Us? Be part of a team working on powerful AI applications Access to cutting-edge tools and open models Flexible working hours Supportive environment that encourages innovation, research, and upskilling

Embark on a transformative journey as Data Scientist at Barclays, where you'll play a pivotal role in shaping the future. In this role, you will be responsible to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision-making. Join us in our mission to safeguard our business and customers from financial crime risks. With competitive benefits and opportunities for career advancement, Barclays is a great place to grow your career in the banking industry. Key critical skills required for this role include: Basis understanding of Machine Learning. Experience in Python and SQL. Experience in Data Visualization tools Power BI or Tableau. Analytical mind and business acumen. Expertise in cleaning and transforming data for analysis. You may be assessed on key essential skills relevant to succeed in role, such as risk and control, change and transformation, business acumen, strategic thinking and digital technology, as well as job-specific technical skills. This role is based out of Noida. Purpose of the role To use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organisation. Accountabilities Identification, collection, extraction of data from various sources, including internal and external sources. Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis. Development and maintenance of efficient data pipelines for automated data acquisition and processing. Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data. Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities. Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science. Analyst Expectations To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement. Requires in-depth technical knowledge and experience in their assigned area of expertise Thorough understanding of the underlying principles and concepts within the area of expertise They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate. Will have an impact on the work of related teams within the area. Partner with other functions and business areas. Takes responsibility for end results of a team’s operational processing and activities. Escalate breaches of policies / procedure appropriately. Take responsibility for embedding new policies/ procedures adopted due to risk mitigation. Advise and influence decision making within own area of expertise. Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct. Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function. Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Make evaluative judgements based on the analysis of factual information, paying attention to detail. Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents. Guide and persuade team members and communicate complex / sensitive information. Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Role & responsibilities : Key Responsibilities: 1. Technical Execution and Leadership: Develop and deploy AI models and data analytics solutions. Support the implementation and optimization of AI-driven strategies per business stakeholder requirements. Help refine data-driven methodologies for transformation projects 2. Data Science and AI: Design and implement machine learning solutions and statistical models, from problem formulation through deployment, to analyze complex datasets and generate actionable insights. Learn and utilize cloud platforms to ensure the scalability of AI solutions. Leverage reusable assets and apply IBM standards for data science and development. 3. Project Support: Lead and contribute to various stages of AI and data science projects, from data exploration to model development. Monitor project timelines and help resolve technical challenges. Design and implement measurement frameworks to benchmark AI solutions, quantifying business impact through KPIs. 4. Collaboration: Ensure alignment to stakeholders strategic direction and tactical needs. Work with data engineers, software developers, and other team members to integrate AI solutions into existing systems. Contribute technical expertise to cross-functional teams. Qualifications: Education: Bachelors or Master’s in Computer Science, Data Science, Statistics, or a related field is required; an advanced degree strongly preferred Experience: 5-10+ years of experience in data science, AI, or analytics with a focus on implementing data-driven solutions. Experience with data cleaning, data analysis, A/B testing, and data visualization. Experience with AI technologies through coursework or projects. Technical Skills: Proficiency in SQL and Python for performing data analysis and developing machine learning models. Knowledge of common machine learning algorithms and frameworks: linear regression, decision trees, random forests, gradient boosting (e.g., XGBoost, LightGBM), neural networks, and deep learning frameworks such as TensorFlow and PyTorch. Experience with cloud-based platforms and data processing frameworks. Understanding of large language models (LLMs). Familiarity with IBM’s watsonx product suite Familiarity with object-oriented programming Analytical Skills: Strong problem-solving abilities and eagerness to learn. Ability to work with datasets and derive insights. Other Requirements: Good communication skills, with the ability to explain technical concepts clearly. Enthusiasm for learning and applying new technologies. Strong project management skills, with the ability to balance multiple initiatives, prioritize tasks effectively, and meet deadlines in a fast-paced environment Why Join Us? In the IBM Chief Analytics Office, you will be part of a dynamic team driving the future of AI and data science in large-scale enterprise transformations. We offer a collaborative environment where your technical expertise will be valued, and your professional development will be supported. Join us to work on challenging projects, leverage the latest technologies, and make a tangible impact on leading organizations. Preferred candidate profile

🚀 We’re Hiring | Business Analyst – Data Science & Analytics 📍 Location: Gurugram 💼 Experience: 4–8 Years 💰 CTC: Up to ₹20 LPA 🏢 Industry: BFSI / Fintech / Credit Risk Analytics Are you a data-driven problem solver with strong modeling and forecasting experience? Join a high-impact analytics team to shape business strategy using large-scale data and predictive intelligence. 🔍 What You’ll Do: • Own and drive strategic modeling, forecasting, and predictive analytics • Work with large, complex datasets to extract insights that drive business impact • Build and optimize statistical and machine learning models • Collaborate with cross-functional teams to inform business decisions • Communicate findings through dashboards, reports, and visual storytelling 💻 Tech Stack & Tools: • Strong hands-on experience with Python & SQL • Exposure to modeling techniques like regression, classification, clustering, etc. • Data visualization tools (Power BI, Tableau) are a plus 🎯 What We’re Looking For: • 4 to 8 years of experience in data science / business analytics roles • Solid understanding of large data ecosystems • Analytical thinker with strong communication and storytelling skills • Background in BFSI or credit analytics is a plus 📩 Apply Now: nitin@skyleaf.global 📞 Contact: +91-8743841946

1. Role: Senior Data Scientist Core Skills: NLP, Generative AI, GCP Skills: Python, Machine Learning, OpenCV, Deep Learning, Database Experience: 10–15 Years Notice Period: Immediate only Locations: Bangalore, Pune, Coimbatore, Chennai JD: Attached 2. Role: Data Scientist Skills Required: Python, SQL, FastAPI, OOPs Concepts, NLP, Computer Vision, Generative AI, LLM, Azure Experience: 5+ Years Locations: Chennai, Coimbatore, Bangalore, Pune Work Mode: HYBRID MODE. Job Type: Full-time Pay: ₹800.00 - ₹1,000.00 per hour Expected hours: 40 per week Schedule: Day shift Work Location: In person

Position : Data Scientist MSc/PhD in Mathematics, Statistics, Data Science , Computer Science, or related field, or equivalent extensive work experience. Substantial experience (7+ years) as a Data Scientist or in a similar senior role, with a proven track record in consulting or client-facing environment s. Demonstrated expertise in creating actionable insights that drive business value, with the ability to communicate complex findings to C-level executives and non-technical stakeholders. Advanced proficiency in data science programming languages (e.g., Python, R, SQL) with a portfolio of complex projects and contributions to open-source communities. In-depth knowledge and hands-on experience in deploying ML models and advanced analytics in cloud production environments. Relevant certifications (e.g., AWS, Azure, GCP) are highly desirable. Proven ability to lead and mentor teams, with excellent project management and stakeholder management skills. Track record of thought leadership, such as conference presentations, published papers, or patents in the field of data science or machine learning. Skills Machine Learning,Statistical Analysis,Data Visualization, Expert Level Programming(Python) Work Location : Any where in South India ( Trivandrum/Kochi/Chennai/Bangalore/Hyderabad) NP : Immediate Interested applicants- Please send us resume at careers@zentactsystems.com

Embark on a transformative journey as Data Scientist at Barclays, where you'll play a pivotal role in shaping the future. In this role, you will be responsible to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision-making. Join us in our mission to safeguard our business and customers from financial crime risks. With competitive benefits and opportunities for career advancement, Barclays is a great place to grow your career in the banking industry. Key Critical Skills Required For This Role Include Basis understanding of Machine Learning. Experience in Python and SQL. Experience in Data Visualization tools Power BI or Tableau. Analytical mind and business acumen. Expertise in cleaning and transforming data for analysis. You may be assessed on key essential skills relevant to succeed in role, such as risk and control, change and transformation, business acumen, strategic thinking and digital technology, as well as job-specific technical skills. This role is based out of Noida. Purpose of the role To use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organisation. Accountabilities Identification, collection, extraction of data from various sources, including internal and external sources. Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis. Development and maintenance of efficient data pipelines for automated data acquisition and processing. Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data. Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities. Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science. Analyst Expectations To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement. Requires in-depth technical knowledge and experience in their assigned area of expertise Thorough understanding of the underlying principles and concepts within the area of expertise They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate. Will have an impact on the work of related teams within the area. Partner with other functions and business areas. Takes responsibility for end results of a team’s operational processing and activities. Escalate breaches of policies / procedure appropriately. Take responsibility for embedding new policies/ procedures adopted due to risk mitigation. Advise and influence decision making within own area of expertise. Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct. Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function. Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Make evaluative judgements based on the analysis of factual information, paying attention to detail. Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents. Guide and persuade team members and communicate complex / sensitive information. Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Company Description WonderBiz Technologies Pvt. is dedicated to leveraging technology to help global companies improve operational efficiency and reduce costs. With over 8 years in business, we have developed more than 50 products for 30+ international customers, including Silicon Valley startups and Fortune 100 & 500 companies. Our growth-driven culture provides opportunities to work with a highly skilled development team, led by industry veterans with 20+ years of experience. We invest in our employees" growth to ensure top-notch service delivery to our clients. Role Description This is a full-time, on-site role for a Data Scientist located in Thane. The Data Scientist will be responsible for analyzing large datasets to extract meaningful insights, developing data models, performing statistical analyses, and creating data visualizations. The role will involve collaborating with cross-functional teams to understand business requirements and delivering data-driven solutions to meet those needs. Experience: 5-10 years Location: Thane - On site WFO Qualifications We are looking for a Machine Learning Specialist that will be responsible to do analysis and solving of increasingly complex problems proposing, reviewing, maintaining, and delivering detailed designs and technical solutions for our Product development projects. This role provides opportunities to work on a wide variety of projects covering areas including Edge and Cloud computing, developing distributed and fault tolerant systems, containerization etc. You should also have an in-depth understanding of the underlying technologies, and architectures work in 2020. Strong programming skills with proficiency in at least one programming language (preferred Python). Understanding of basic full-stack development concepts. Applying algorithms to generate accurate predictions, Resolving data set problems, Deep knowledge of math, probability, statistics and algorithms, proven experience for GenAI implementations in at least 1 project. Proficiency in data analysis techniques and tools. Working experience in Experience in implementing LLMs tools Expertise in SciPy for scientific and technical computing. Knowledge and experience in deep learning, TensorFlow, NLP and frameworks. Proficiency in at least one Database Management System (DBMS). Proven experience as a Machine Learning Engineer or similar role Understanding of data structures, data modeling and software architecture Deep knowledge of math, probability, statistics and algorithms Ability to write robust code in Python and R Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) Excellent communication skills Ability to work in a team Outstanding analytical and problem-solving skill. Interested candidate can share their updated CV on manasi.deshmukh@wonderbiz.in,

Expert in Python and SQL for data exploration and modeling. - Strong background in statistical modeling, segmentation, and A/B testing. - Experience with scikit-learn, pandas, Jupyter, and optional tools like Tableau, Looker, or dashboards. - Comfortable working with campaign goals (ROAS, CPA, sales lift) and developing actionable audience insights. Develops insights, audience scoring, and experiment frameworks to identify the highest-performing combinations of segments, channels, and strategies. Design audience insights pipelines using device/app/geo/time/segment data to surface high-performing cohorts. Build LTV, propensity, and uplift models to influence media planning and bidding strategies. Account for seasonal and vertical-specific trends to enrich insights. Define key metrics for optimization (e.g., ROAS, CPA, foot traffic lift). Work closely with traders and marketers to translate business goals into data strategies. Skills: sql,looker,python,segmentation,statistical modeling,pandas,tableau,jupyter,scikit-learn,a/b testing,panda,

Embark on a transformative journey as Data Scientist at Barclays, where you'll play a pivotal role in shaping the future. In this role, you will be responsible to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision-making. Join us in our mission to safeguard our business and customers from financial crime risks. With competitive benefits and opportunities for career advancement, Barclays is a great place to grow your career in the banking industry. Key Critical Skills Required For This Role Include Basis understanding of Machine Learning. Experience in Python and SQL. Experience in Data Visualization tools Power BI or Tableau. Analytical mind and business acumen. Expertise in cleaning and transforming data for analysis. You may be assessed on key essential skills relevant to succeed in role, such as risk and control, change and transformation, business acumen, strategic thinking and digital technology, as well as job-specific technical skills. This role is based out of Noida. Purpose of the role To use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organisation. Accountabilities Identification, collection, extraction of data from various sources, including internal and external sources. Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis. Development and maintenance of efficient data pipelines for automated data acquisition and processing. Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data. Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities. Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science. Analyst Expectations To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement. Requires in-depth technical knowledge and experience in their assigned area of expertise Thorough understanding of the underlying principles and concepts within the area of expertise They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate. Will have an impact on the work of related teams within the area. Partner with other functions and business areas. Takes responsibility for end results of a team’s operational processing and activities. Escalate breaches of policies / procedure appropriately. Take responsibility for embedding new policies/ procedures adopted due to risk mitigation. Advise and influence decision making within own area of expertise. Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct. Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function. Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Make evaluative judgements based on the analysis of factual information, paying attention to detail. Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents. Guide and persuade team members and communicate complex / sensitive information. Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave. Back to nav Share job X(Opens in new tab or window) Facebook(Opens in new tab or window) LinkedIn(Opens in new tab or window)

We're hiring a passionate Data Scientist / GenAI Engineer to join our AI-first team working on LLMs, RAG pipelines, NLP features, and GenAI use cases like chatbots, recommendation engines, and smart automation.

Responsibilities : Build a portfolio of data opportunities for specific business partners based on your knowledge of the data and the business Support business partners in translating their needs into specific research questions that can be addressed in a data science project Apply techniques of data preparation, quality control, completeness, distribution, consistency, outliers, data or variable transformation Apply mathematical, statistical and modeling techniques in a suitable environment Use statistical analysis to support strategic decision-making Support partners in the correct interpretation and application of analysis results Training Business partners interpret analysis results independently or translating analysis results into the right actions Collaborate closely with Data Science Engineers to support the entire data pipeline process Evaluate the long-term validity of the analytical solution Follow up on developments in the field of statistical analysis, mathematical modeling, optimization, and integrate these into practice Profile : Should have 12+ years of working experience in Data-related projects At least 7+ years of relevant experience as a Data Scientist In-depth knowledge of statistical methods for data analysis, interpretation and application of these techniques to solve a Business problem Experience in applying a variety of analytical algorithms, including but not limited to linear and logistic regression, Bayesian analysis, decision trees, random forest, boosting techniques, forecasting, time series, clustering, neural networks and others Proficiency in Python is expected to perform Data Science activities Strong analytical and problem-solving skills Ability to work in a team-oriented, collaborative environment Excellent communication and interpersonal skills Experience in text mining, NLP, understanding of image processing Bachelors or masters degree in a relevant field such as Statistics, AI / ML / NLP is an added value

As part of the Data Science team in Colruyt, youwill have an opportunity to work with culturally diversified group ofindividuals, ensure business take strategic decisions by providing right datainsights. We are looking for an individual with Passion, Innovation, out of the box thinking to join our team . Build a portfolio of data opportunities for specific business partners based on your knowledge of the data and the business. Support business partners in translating their needs into specific research questions that can be addressed in a data science project. Apply techniques of data preparation, quality control, completeness, distribution, consistency, outliers, data, or variable transformation. Apply mathematical , statistical , and modeling techniques in a suitable environment. Use statistical analysis to support strategic decision-making . Support partners in the correct interpretation and application of analysis results. Training Business partners interpret analysis results independently or translating analysis results into the right actions. Collaborate closely with Data Science Engineers to support the entire data pipeline process. Evaluate the long-term validity of the analytical solution. Follow up on developments in the field of statistical analysis, mathematical modeling, optimization, and integrate these into practice. Requirements Should have 12+ years of working experience in Data-related projects. At least 7+ years of relevant experience as a Data Scientist. In-depth knowledge of statistical methods for data analysis, interpretation , and application of these techniques to solve a business problem. Experience in applying a variety of analytical algorithms , including but not limited to linear and logistic regression, Bayesian analysis, decision trees, random forest, boosting techniques, forecasting, time series, clustering, neural networks, and others. Proficiency in Python is expected to perform Data Science activities. Strong analytical and problem-solving skills . Ability to work in a team-oriented, collaborative environment . Excellent communication and interpersonal skills Experiencein text mining, NLP, understanding of image processing. Bachelors or masters degree in a relevant field such as Statistics, AI / ML / NLP is an added value.

​​ looking for data scientists or expert in data who can provide us relevant data from different social media sites with geographic mapping + sector mapping + profile standard mapping + other things. Energetic, professional, visionary, and Business minded woman who want to grow her professional life in a faster note and ready to take challenges then you can join our team. You can get chance to join our Business if you are capable enough to lead the Business. Internship available for young candidates. Job Types: Full-time, Permanent, Fresher Pay: ₹10,000.00 - ₹16,000.00 per month Benefits: Cell phone reimbursement Health insurance Schedule: Day shift Supplemental Pay: Performance bonus Ability to commute/relocate: Tollygunge, Kolkata, West Bengal: Reliably commute or planning to relocate before starting work (Required) Experience: total work: 1 year (Preferred) Shift availability: Day Shift (Preferred) Night Shift (Preferred) Willingness to travel: 100% (Required) Work Location: In person

Job Title: Data Scientist Experience: 2 to 4 Years Location: Delhi/NCR Industry: Information Technology & Services Employment Type: Full-time About the Role: We are looking for a passionate and results-driven Data Scientist to join our growing analytics and AI/ML team. The ideal candidate will bring hands-on experience in data exploration, model building, and deployment. You will work closely with cross-functional teams to deliver actionable insights and machine learning solutions that drive business value. Key Responsibilities: Collect, clean, and preprocess large datasets from various sources. Perform exploratory data analysis and visualize patterns and trends. Build and validate machine learning and statistical models. Translate business problems into data science problems and solutions. Communicate findings through reports, dashboards, and visualizations. Collaborate with engineering and product teams to deploy data-driven solutions. Stay updated with the latest tools, technologies, and industry trends. Required Skills and Qualifications: Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or related field. 2 to 4 years of industry experience in data science, machine learning, or applied statistics. Proficient in Python (NumPy, pandas, scikit-learn, matplotlib, etc.). Solid understanding of supervised and unsupervised ML algorithms. Experience with SQL and data querying from relational databases. Familiarity with tools like Jupyter, Git, and cloud platforms (AWS/Azure/GCP) is a plus. Exposure to model deployment and MLOps practices is desirable. Strong analytical thinking and problem-solving skills. Good communication and team collaboration abilities. Nice to Have: Experience with NLP, computer vision, or time-series analysis. Knowledge of Big Data tools (Spark, Hadoop). Experience with data visualization libraries (Seaborn, Plotly, Power BI, Tableau).

Job Summary What you need to know about the role- Data scientists are highly motivated team players with strong analytical skills who specialize in creating, driving and executing initiatives to mitigate fraud on PayPal s platform and improve the experience for PayPal s hundreds of millions of customers, while guaranteeing compliance with regulations. Meet our team Data scientists in the Fraud Risk team are problem solvers suited to approach varied challenges in complex big data environments. Our core goals are to enable seamless and delightful experiences to our customers, while preventing threat actors from accessing customers financial instruments and personal information. As part of our day-to-day job, we are collaborating with a wide variety of partners product owners, data scientists, security experts, legal consults, and engineers, to bring our data science insights to life, impacting the experience and security of millions of customers around the globe. Job Description Your way to impact Data scientists deeply understand PayPal s business objectives, as their impact on PayPal s top and bottom lines is immense. As a data scientist, you will develop key AIML capabilities, tools, and insights with the aim of adapting PayPal s advanced proprietary fraud prevention and experience mechanisms and enabling growth. Your day to day Day-to-day duties include data analysis, monitoring and forecasting, creating the logic for and implementing risk rules and strategies, providing requirements to data scientists and technology teams on attribute, model and platform requirements, and communicating with global stakeholders to ensure we deliver the best possible customer experience while meeting loss rate targets. What do you need to bring- Strong proficiency in Python for data analysis, machine learning, and automation. Solid understanding of supervised and unsupervised AI/machine learning methods (e.g., XGBoost, LightGBM, Random Forest, clustering, isolation forests, autoencoders, neural networks, transformer-based architectures). Experience in payment fraud, AML, KYC, or broader risk modeling within fintech or financial institutions. Experience developing and deploying ML models in production using frameworks such as scikit-learn, TensorFlow, PyTorch, or similar. Hands-on experience with LLMs (e.g., OpenAI, LLaMA, Claude, Mistral), including use of prompt engineering, retrieval-augmented generation (RAG), and agentic AI to support internal automation and risk workflows. Ability to work cross-functionally with engineering, product, compliance, and operations teams. Proven track record of translating complex ML insights into business actions or policy decisions. BS/BA degree with 5+ years of related professional experience or master s degree with 4+ years of related experience. **We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please dont hesitate to apply. Preferred Qualification Subsidiary PayPal Travel Percent 0 For the majority of employees, PayPals balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https//www.paypalbenefits.com . Who We Are Click Here to learn more about our culture and community. Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at talentaccommodations@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.

Your work will span across multiple areas, including predictive modelling, automation and process optimization. We use AI to discover patterns, classify information, and predict likelihoods. Our team works on building, refining, testing, and deploying these models to support various business use cases, ultimately driving business value and innovation. As a Data Scientist on our team, you can expect to work on challenging projects, collaborate with stakeholders to identify business problems, and have the opportunity to learn and grow with our team. A typical day may involve working on model development, meeting with stakeholders to discuss project requirements/updates, and brainstorming/debugging with colleagues on various technical aspects. At the Lab, we're passionate about staying at the forefront of AI research, bridging the gap between research industry to drive innovation and to make a real impact on our businesses. Responsibilities 1. Develop and maintain AI models from inception to deployment, including data collection, analysis, feature engineering, model development, evaluation, and monitoring. 2. Identify areas for model improvement through independent research and analysis, and develop recommendations for updates and enhancements. 3. Working with expert colleagues and business representatives to examine the results and keep models grounded in reality. 4. Documenting each step of the development and informing decision makers by presenting them options and results. 5. Ensure the integrity and security of data. 6. Provide support for production models delivered by the Mumbai team but potentially as well for other models to any of the Asian/EU/US time zones. Technical Behavioral Competencies 1. Qualifications: Bachelors / Master / PhD degree in Computer Science / Data Science / Mathematics / Statistics / relevant STEM field. 2. Knowledge of key concepts in Statistics and Mathematics such as Statistical methods for Machine learning, Probability Theory and Linear Algebra. 3. Experience with Machine Learning Deep Learning concepts including data representations, neural network architectures, custom loss functions. 4. Proven track record of building AI model from scratch or finetuning on large models for Tabular or/and Textual data. 5. Programming skills in Python and knowledge of common numerical and machine-learning packages (like NumPy, scikit-learn, pandas, PyTorch, transformers, langchain). 6. Ability to write clear and concise code in python. 7. Intellectually curious and willing to learn challenging concepts daily. 8. Knowledge of current Machine Learning/Artificial Intelligence literature. Skills Referential Behavioural Skills : Ability to collaborate / Teamwork Critical thinking Communication skills - oral written Attention to detail / rigor Transversal Skills: Analytical Ability Education Level: Bachelor Degree or equivalent

Data Scientist II Job Title - Data Scientist II - Data & Analytics Our Purpose ? Our Team We are an Artificial Intelligence Centre of Excellence working on initiatives in Core and Commercial Payments. Our focus is to create value and improvements through digital intervention inspired by state of the art AI and Machine Learning. As part of the team, you will play a key role in building new AI / ML models, monitoring long term performance, innovate with research - all while creating significant business impact. Are you excited about coding and the solutions we can build with it? Do you love doing hands on work with opportunities to learn new tech? Do you believe that AI has huge potential to improve business processes? Are you recreational with Mathematics and Statistics? If yes, then this role is for you! The Role The candidate, will be working on numerous AI and ML initiatives, spanning across different use cases and stages of delivery. You will expected to work and code hands-on, keeping up to date with latest best practices and advances in the field of AI. You will be required to work closely in collaboration with multiple internal business groups across Mastercard. You are also responsible for creating design documents, including data models, data flow diagrams, and system architecture diagrams. All about You Majors in Computer Science, Data Science, Analytics, Mathematics, Statistics, or a related engineering field or equivalent work experience 4+ Years of experience in using Python with knowledge of client server architecture 2+ Years of experience on building, deploying and maintaining ML models 1+ Years of experience in working on Gen AI projects including knowledge of modern frameworks like LangChain, LangGraph, OpenAI Chat Completion APIs Demonstrated success interacting with stakeholders to understand technical needs and ensuring analyses and solutions meet their needs effectively. Able to work in a fast-paced, deadline-driven environment as part of a team and as an individual contributor. Ability to easily move between business, analytical, and technical teams and articulate solution requirements for each group. Experience with Enterprise Business Intelligence Platform/Data platform i.e. Tableau, PowerBI, Streamlit will be a plus. Experience with cloud-based (SaaS) solutions, ETL processes or API integrations will be a plus. Experience on Cloud Data Platforms Azure/AWS/Databricks will be a plus. Additional Competencies Excellent English, quantitative, technical, and communication (oral/written) skills Analytical/Problem Solving Strong attention to detail and quality Creativity/Innovation Self-motivated, operates with a sense of urgency Project Management/Risk Mitigation Able to prioritize and perform multiple tasks simultaneously

As a Principal Data Scientist at Micron, you will Develop AI, LLM, ML and statistical based solutions to build state-of-the-art predictive, prescriptive , optimization and automation , pattern-mining solutions for silicon design verification and firmware validation Collaborate with cross-functional teams to ensure the accuracy, reliability, and performance of semiconductor products. Drive technical innovation and culture within the team by participating in generating IP and inspiring team to innovate. Participate in end-to-end project scoping and stakeholder discussions to determine technical merit of the idea, vale proposition and resource requirements. Interact with senior leadership, and cross functional teams to define scope, identify risks, deploy scalable solutions & lead multiple projects execution Continuously learn as well as mentor team on recent progress on semiconductor and AI/ML domain. Key requirements: Education: Master s or PhD in Computer Science, Electrical Engineering, or a related field. Experience: 12+ years in data science and machine learning. Experience in silicon verification or semiconductors in general is highly desirable. Technical Skills In-depth understanding statistics, classical ML algorithms, neural networks and in-depth understanding of algorithms and formulation behind LLM, RAG and agents. Hands on experience and solid understanding of data engineering and building deployment pipelines for solutions built. Be able to extract, process and clean data using known frameworks. Proficiency in programming languages such as Python, R, and SQL. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and data visualization tools (e.g., Tableau, Power BI). Project Management Ability to scope projects, develop project plan and lead, execute, and deliver as per the plan. Ability to understand the customer pain point and find appropriate solutions to address the problem. Soft skills Strong passion and attitude to work in semiconductor industry delivering high value and high impact data science solutions. Attitude and temperament for team-work, mentoring, learning, ethics and professional communication. AI alert : Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidates true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

Your work will span across multiple areas, including predictive modelling, automation and process optimization. We use AI to discover patterns, classify information, and predict likelihoods. Our team works on building, refining, testing, and deploying these models to support various business use cases, ultimately driving business value and innovation. As a Data Scientist on our team, you can expect to work on challenging projects, collaborate with stakeholders to identify business problems, and have the opportunity to learn and grow with our team. A typical day may involve working on model development, meeting with stakeholders to discuss project requirements/updates, and brainstorming/debugging with colleagues on various technical aspects. At the Lab, we're passionate about staying at the forefront of AI research, bridging the gap between research & industry to drive innovation and to make a real impact on our businesses. Responsibilities 1. Develop and maintain AI models from inception to deployment, including data collection, analysis, feature engineering, model development, evaluation, and monitoring. 2. Identify areas for model improvement through independent research and analysis, and develop recommendations for updates and enhancements. 3. Working with expert colleagues and business representatives to examine the results and keep models grounded in reality. 4. Documenting each step of the development and informing decision makers by presenting them options and results. 5. Ensure the integrity and security of data. 6. Provide support for production models delivered by the Mumbai team but potentially as well for other models to any of the Asian/EU/US time zones. Technical & Behavioral Competencies 1. Qualifications: Bachelors / Master / PhD degree in Computer Science / Data Science / Mathematics / Statistics / relevant STEM field. 2. Knowledge of key concepts in Statistics and Mathematics such as Statistical methods for Machine learning, Probability Theory and Linear Algebra. 3. Experience with Machine Learning & Deep Learning concepts including data representations, neural network architectures, custom loss functions. 4. Proven track record of building AI model from scratch or finetuning on large models for Tabular or/and Textual data. 5. Programming skills in Python and knowledge of common numerical and machine-learning packages (like NumPy, scikit-learn, pandas, PyTorch, transformers, langchain). 6. Ability to write clear and concise code in python. 7. Intellectually curious and willing to learn challenging concepts daily. 8. Knowledge of current Machine Learning/Artificial Intelligence literature. Skills Referential Behavioural Skills : Ability to collaborate / Teamwork Critical thinking Communication skills - oral & written Attention to detail / rigor Transversal Skills: Analytical Ability Education Level: Bachelor Degree or equivalent

Position Title: Specialist- Data Science Business Title: Engineer II- Data Science We are seeking a highly motivated and enthusiastic Senior Data Scientist with over 8 years of experience to join our dynamic team. The ideal candidate will have a strong background in AI/ML analytics and a passion for leveraging data to drive business insights and innovation. Key Responsibilities: Develop and implement machine learning models and algorithms. Work closely with project stakeholders to understand requirements and translate them into deliverables. Utilize statistical and machine learning techniques to analyze and interpret complex data sets. Stay updated with the latest advancements in AI/ML technologies and methodologies. Collaborate with cross-functional teams to support various AI/ML initiatives. Qualifications: Bachelors degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Strong understanding of machine learning, deep learning and Generative AI concepts. Preferred Skills: Experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, Computer vision(yolo ), Deep Learning stack, NLP using python Strong knowledge and experience in Generative AI/ LLM based development. Strong experience working with key LLM models APIs (e.g. AWS Bedrock OR Azure Open AI/ OpenAI) and LLM Frameworks (e.g. LangChain OR LlamaIndex OR RAG ) Experience with cloud infrastructure for AI/Generative AI/ML on AWS, Azure. Expertise in building enterprise grade, secure data ingestion pipelines (ETL Gluejob, Quicksight) for unstructured data including indexing, search, and advance retrieval patterns. Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets. Proficiency in generating and working with text embeddings with understanding of embedding spaces and their applications in semantic search and information. retrieval. Experience with RAG concepts and fundamentals ( VectorDBs, AWS OpenSearch, semantic search, etc.), Expertise in implementing RAG systems that combine knowledge bases with Generative AI models. Knowledge of training and fine-tuning Foundation Models (Athropic, Claud, Mistral, etc.), including multimodal inputs and outputs. Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and frameworks. (e.g., pandas, NumPy, scikit-learn), Glue crawler, ETL Experience with data visualization tools (e.g., Matplotlib, Seaborn, Quicksight). Knowledge of deep learning frameworks (e.g., TensorFlow, Keras, PyTorch). Experience with version control systems (e.g., Git, CodeCommit). Good to have Skills Knowledge and Experience in building knowledge graphs in production. Understanding of multi-agent systems and their applications in complex problem-solving scenarios. ** Title/Designation of role are as per Global Team Job profiling. Local Titles are adjusted for understanding of regional candidates applying for job in India. Designations are dependent on years of relevant work experience and performance during interviews.

Greetings from Bean HR Consulting: Experience 8-11 years . Work Mode- Hybrid Mode Location Gurugram/Bangalore Shift Timing- 12 PM-8:30 PM Job Description/ Candidate Profile: Responsibility/Skillsets (Must) Understand and design analytical solutions to Business problems leveraging Data science. Should be able to understand and gather the requirement from Stakeholders. Propose and execute the solution and present the deliverables to Stakeholders. Manage and optimize the deliverables. Mentor and Train new team members. Develop POCs to enhance team’s capability. Skillsets (Must) Strong understanding of Math, Statistics and the theoretical foundations of Statistical & Machine Learning, Parametric and Non-parametric models. Strong understanding of advanced data mining techniques, curating, processing and transforming data to produce sound datasets. Use various statistical techniques and ML methods to perform predictive modeling/classification for problems around client, distribution, sales, client profiles, segmentation and provide relevant & actionable recommendations/insights for the business. Strong understanding of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop. Stronghold on Visualization tool libraries in Python like matplotlib, seaborn. Experience with cloud computing infrastructure like Azure, Cosmos DB, PowerBI. Able to develop, test and deploy models on Cloud/Web. 8-12 years’ experience in Designing and Deploying Deep Learning Solutions Excellent knowledge of Deep Learning Architectures/Convolutional Neural Networks Excellent knowledge of Supervised Learning, Adversarial Learning Excellent Python Coding Skills Robust working knowledge with deep learning frameworks (like TensorFlow, Keras, PyTorch) Skillsets (Good to have) BFSI Domain. Experience on Textual Analytics, Web Crawlers, Recommendation Engines Understanding of MLOps, DevOps, AWS services Qualifications BE/B. Tech. /MBA/M.Stat./M.Sc. or equivalent degree in Quant. from reputed institute. Soft Skills Excellent organizational skills and ability to prioritize wide range of tasks Demonstrated initiative and creativity - ability to influence (add value) Strong interpersonal, communication, motivational, organizational and planning skills

Sutherland is seeking an attentive and analytical person to join us as Data Scientist. Interested suitable candidates please send resume to priti.kumari@sutherlandglobal.com Exp-7+ Years Notice period-Immediate Location-WFH/Hyderabad Job Description Serve as the AI & data strategist, discovering and onboarding new data sources and shaping end-to-end pipelines that span traditional analytics, machine learning (ML), deep learning (DL), natural-language processing (NLP), generative AI (GenAI), and agentic AI. Partner with engineering to design, build, and harden production-grade data and AI products (e.g., RAG search, LLM-powered assistants, anomaly-detection services). Run analytical experiments—classification, forecasting, LLM fine-tuning, prompt-engineering A/B tests—to solve business problems across multiple domains. Collect, clean, and enrich large structured, semi-structured, and unstructured datasets (text, image, audio, sensor, graph). Design, train, and validate classical ML models, DL architectures (CNN, RNN, Transformers), and instruction-tuned LLMs; measure drift and conduct error analysis to drive iterative improvement. Implement retrieval-augmented generation and agentic task-planning pipelines that combine vector search, function calling, and tool invocation. Document findings, publish reusable components, and mentor junior data scientists and ML engineers. Qualifications Experience 7+ Years delivering data-driven solutions, with demonstrable depth in at least two of: ML, DL, NLP, GenAI, agentic AI. Hands-on proficiency in Python (pandas, NumPy, scikit-learn), DL frameworks (TensorFlow or PyTorch), and LLM / GenAI toolkits (Hugging Face Transformers, LangChain/LangGraph, Google ADK). Proven track record in feature engineering, pattern recognition, predictive modeling, and LLM fine-tuning / evaluation. Experience optimizing GPU / TPU workloads and scaling distributed training or inference. Familiarity with vector databases (FAISS, Chroma, Pinecone) and distributed data systems (Spark, BigQuery, Snowflake). · Nice to have: Text Analytics experience · Nice to have: Advanced Degree or Certification in Statistics