76,955 Data Scientist Jobs in Mahabaleshwar

As a Data Science Lead at Hansa Cequity, you will be responsible for spearheading advanced analytics projects, managing a team of data scientists, and delivering impactful insights to drive customer-centric strategies for leading brands. You will play a key role in utilizing data science, AI/ML, and marketing analytics to solve complex business problems. Your main responsibilities will include: - Leading and mentoring a team of data scientists and analysts - Engaging with clients to understand business problems and create analytical frameworks - Designing and implementing machine learning models and statistical algorithms for various purposes such as customer segmentation and churn prediction - Developing predictive and prescriptive models to enable data-driven marketing strategies - Overseeing data preparation, model building, validation, and deployment - Presenting actionable insights to stakeholders and clients - Staying updated on the latest trends in data science and marketing analytics - Collaborating with cross-functional teams - Ensuring timely project delivery with high quality - Contributing to the growth of the analytics practice through thought leadership The ideal candidate for this role should have: - A Masters or Ph.D. in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative field - 8+ years of relevant experience in data science, advanced analytics, or marketing analytics - Proven experience in leading analytics projects and teams - Strong expertise in statistical modeling, machine learning, and data mining techniques - Proficiency in Python/R, SQL, and relevant libraries - Hands-on experience with big data platforms and tools - Excellent communication and presentation skills - The ability to translate complex data insights into business impact - Experience in CRM, customer analytics, or marketing domains Joining Hansa Cequity will provide you the opportunity to work with marquee clients and industry-leading brands, and be part of an award-winning team driving innovation in customer marketing.,

Role Overview: As a Senior Data Scientist specializing in Large Language Models (LLMs), Vision Language Models (VLMs), Prompt Engineering, and AI Agents, you will play a crucial role in developing a Proof of Concept (POC) project focused on automating and enhancing test case creation for user stories. Leveraging cutting-edge AI techniques, including extracting information from images and documents, automated test case generation, and code analysis for testability, you will be at the forefront of advancing this innovative project. Key Responsibilities: - Develop and deploy advanced AI/ML solutions utilizing LLMs, VLMs, and prompt engineering to automate the creation and refinement of test cases for user stories. - Extract and interpret content from various sources such as images and documents using Vision Language Models and other relevant tools. - Analyze existing codebases to improve testability using AI-driven approaches. - Research and implement AI Agent frameworks to optimize testing workflows. - Continuously evaluate and enhance models and prompts for accuracy, efficiency, and business alignment. Qualification Required: - Minimum 5 years of experience as a Data Scientist or in a related AI/ML role. - Proven expertise in LLMs like OpenAI and Claude. - Hands-on experience with VLMs and prompt engineering. - Demonstrated track record of developing and applying AI Agents to automate real-world processes. - Strong background in automating testing processes using AI/ML techniques. - Proficiency in Python and common ML frameworks. - Experience in extracting structured data from unstructured content such as text, images, and documents. - Familiarity with code analysis, test case design, and the software development lifecycle. - Excellent problem-solving, communication, and collaboration skills.,

Role Overview: You will be joining as a Senior Data Scientist at Ray Business Technologies in Hyderabad. Your role will involve utilizing your expertise in Machine Learning, Deep Learning, statistical modeling, data analytics, and algorithmic problem-solving to deliver tailor-made solutions in areas like AI, ERP, CRM, Cloud, and BI services. With a focus on quality and excellence, you will be part of a skilled team of experts dedicated to helping organizations achieve growth and operational efficiency. Key Responsibilities: - Sound knowledge of Machine Learning, Deep Learning, statistical modeling, data analytics, and algorithmic problem-solving. - Ability to build from scratch in R & D. - Hands-on experience with components like DL, Transform model, LLM, NLP, Computer Vision, etc. - Implementation of Deep Learning techniques and Natural Language Processing (NLP) techniques. - Proficiency in OCR technology and inclination towards Mathematics/Statistics. - Familiarity with MS Excel skills, Reporting, object-oriented programming, and Python or R. - Good knowledge of Cloud Technology, specifically on the Azure cloud platform. Qualifications Required: - 4-8 years of experience in a data science or analytics role, with a proven track record of leveraging analytics for business impact. - Excellent communication skills to translate complex findings into actionable insights for non-technical stakeholders. - Strong knowledge of machine learning techniques and experience applying them to real-world problems. - Strong analytical and problem-solving skills with attention to detail. - Experience with cloud platforms like Azure and big data technologies such as Hadoop and Spark is a plus.,

You are seeking an exciting opportunity to be part of a dynamic and growing team in a fast-paced and challenging environment. This unique role offers you the chance to collaborate with the Business team in providing a comprehensive perspective. As a Data Scientist Analyst in Asset and Wealth Management Risk within our AWM Risk team, you will play a key role in innovating and implementing data-driven risk analytics solutions through advanced data science and machine learning techniques. Your contributions will enable us to enhance our operations, strengthen our core values, and expand our analytical capabilities to support the growth of Newton's platform. JPMorgan Asset & Wealth Management Risk (AWM) is looking for a skilled Risk professional with quantitative analysis expertise to join our AWM Risk Analytics team. This team, part of AWM Risk Management, consists of innovative professionals focused on quantitative and market risk. You will be involved in developing risk measurement methodologies, analytics calculations, and maintaining the AWM Risk System (Newton) used by AWM Risk Management and Front Office stakeholders. Responsibilities: - Collaborate with peers and stakeholders to identify opportunities for using Data Science to drive value and enhance security and portfolio risk analytics. - Lead enhancements in AI/ML and statistical techniques for data and analytics validation. - Design and deliver scalable solutions using cutting-edge technologies like AI and LLMs. - Analyze large data sets, follow best practices for data model and architecture, and contribute to risk methodology enhancement. Required Qualifications: - Minimum 6 months of experience as a Data Scientist or in a related quantitative role. - Strong quantitative skills, attention to detail, ability to multitask, and work independently. - Excellent communication skills. - Proficiency in statistics, AI/ML techniques, and problem-solving. - Knowledge of programming languages such as SQL, Python, ML, AWS Sagemaker, TensorFlow, etc. Preferred Qualifications: - Experience in financial markets or quantitative analysis within Risk Management or Front Office. - Familiarity with asset pricing, VaR backtesting, and model performance testing.,

As a GenAI Data Scientist at PwC US - Acceleration Center, your focus will be on leveraging data to drive insights and make informed business decisions through advanced analytics techniques. You will have the opportunity to optimize client operations and help them achieve strategic goals by utilizing your skills in data manipulation, visualization, and statistical modeling. **Key Responsibilities:** - Collaborate with cross-functional teams to understand business requirements and identify opportunities for applying GenAI technologies. - Develop and implement machine learning models and algorithms for GenAI projects. - Perform data cleaning, preprocessing, and feature engineering to prepare data for analysis. - Collaborate with data engineers to ensure efficient data processing and integration into machine learning pipelines. - Validate and evaluate model performance using appropriate metrics and techniques. - Develop and deploy production-ready machine learning applications and solutions. - Utilize object-oriented programming skills to build robust and scalable software components. - Utilize Kubernetes for container orchestration and deployment. - Design and build chatbots using GenAI technologies. - Communicate findings and insights to stakeholders through data visualizations, reports, and presentations. - Stay up-to-date with the latest advancements in GenAI technologies and recommend innovative solutions to enhance data science processes. **Qualifications Required:** - 3-5 years of relevant technical/technology experience, with a focus on GenAI projects. - Strong programming skills in languages such as Python, R, or Scala. - Proficiency in machine learning libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn. - Experience with data preprocessing, feature engineering, and data wrangling techniques. - Solid understanding of statistical analysis, hypothesis testing, and experimental design. - Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud. - Knowledge of data visualization tools and techniques. - Strong problem-solving and analytical skills. - Excellent communication and collaboration abilities. - Ability to work in a fast-paced and dynamic environment. **Preferred Qualifications:** - Experience with object-oriented programming languages such as Java, C++, or C#. - Experience with developing and deploying machine learning applications in production environments. - Understanding of data privacy and compliance regulations. - Relevant certifications in data science or GenAI technologies. **Nice To Have Skills:** - Experience with Azure AI Search, Azure Doc Intelligence, Azure OpenAI, AWS Textract, AWS Open Search, AWS Bedrock. - Familiarity with LLM backed agent frameworks such as Autogen, Langchain, Semantic Kernel, etc. - Experience in chatbot design and development. In your role as a GenAI Data Scientist at PwC, you will have the opportunity to apply your expertise in data science and GenAI technologies to drive impactful results for clients. Your advanced analytical skills and knowledge of machine learning will be instrumental in solving complex business problems and delivering innovative solutions.,

As a Data Scientist at Wayfair, based in Bangalore, India, you will be part of the Customer Tech Data Science team, which focuses on understanding and optimizing customer behavior on the website and mobile application to drive business decisions effectively. **Key Responsibilities:** - Conduct in-depth analysis across large-scale datasets (clickstream, sales, product, logistics, and customer data) to uncover trends, gaps, and business opportunities. - Advocate for the use of emerging technologies to transform data exploration and uncover insights. - Become a subject matter expert on key business metrics and customer behavior. - Drive innovation in business analysis, collaborate with cross-functional partners, design and interpret A/B tests. - Build scalable dashboards and reports using various tools. **Qualifications Required:** - Bachelor's degree in a quantitative discipline. - 2-4 years of work experience in analytics or data science. - Proficiency in programming languages like Python, R, or SAS. - Strong knowledge of SQL. - Experience in conducting quantitative analyses on complex datasets. - Familiarity with data visualization software. - Excellent analytical, communication, and problem-solving skills. - Experience in e-commerce or retail analytics is a plus. Wayfair is a global online destination for home goods, committed to industry-leading technology and creative problem-solving. Join us for rapid growth, continuous learning, and dynamic challenges that will define the most rewarding work of your career.,

Role Overview: Expedia Group is seeking a Data Scientist III, Analytics to join their InsurTech team. As part of this dynamic team, you will have the opportunity to collaborate closely with product partners to optimize and launch innovative insurance and FinTech products. Your role will involve harnessing data from diverse sources, translating insights into actionable strategies, designing and executing A/B tests, defining key metrics, and delivering impactful product and customer insights to stakeholders. Key Responsibilities: - Collaborate with product teams to uncover new product opportunities and identify friction points in existing experiences. - Translate insights into actionable strategies for product innovation and enhancement. - Design and execute A/B tests to evaluate product performance and quantify outcomes into clear financial impact. - Define, track, and visualize key metrics through intuitive dashboards for real-time business monitoring. - Deliver product and customer insights to cross-functional stakeholders to drive informed decision-making. - Support product roadmap planning and go-to-market strategy by providing analytical guidance and strategic recommendations. Qualification Required: - Educational Background: Bachelors degree in Statistics, Mathematics, Economics, Data Science, or a related field. - Experience: 5+ years of analytics experience with a focus on product analytics and measurements. - Advanced Analytical Skills: Expertise in experimentation, causal inference, and advanced analytics. - Technical Expertise: Proficiency in big data tools such as SQL, Python, Databricks, AWS, etc. - Cross-functional Collaboration: Proven track record of collaborating with teams across Product, Finance, and other departments. - Problem-Solving & General Management: Strong analytical, problem-solving, and leadership skills. Additional Company Details: Expedia Group is dedicated to powering global travel for everyone, everywhere. They foster an open culture where diversity is celebrated, and employees are provided with exciting travel perks, generous time-off, parental leave, and career development resources to ensure a rewarding career journey. The company's values and leadership agreements guide their commitment to putting people first and building a more open world. Join Expedia Group to be part of a vibrant and welcoming community driving success in the travel industry.,

As a Data Scientist at LSEG, you will be responsible for applying statistical techniques and Python-based workflows to monitor and validate large-scale datasets. Your role will involve conducting exploratory data analysis on new Sustainable Investment datasets to detect anomalies and assess operational risks. You will also review vendor data methodologies and compare them with internal analytical findings. Defining outlier logic and quality control thresholds for new sustainable data pipelines will be a key part of your responsibilities. Additionally, prototyping and operationalizing new data quality checks, as well as extracting insights from unstructured data using NLP & LLM tools, will be crucial tasks. Your role will also involve performing ad hoc analysis to support client queries, methodology discussions, and process improvements, while collaborating with cross-functional teams to enhance data pipelines and operational efficiency. Required Skills: - Programming: Python, SQL; experience with NLP and LLM tools - Data Analysis: Statistical modelling, anomaly detection, trend analysis, EDA, data profiling, validation frameworks - Big Data Tools: AWS suite, including S3 and Athena - Visualization: Power BI, Matplotlib, Seaborn - Domain Knowledge: ESG/Sustainable Investment and Index data (preferred but not essential) - Strong communication skills and stakeholder engagement - Proactive, solution-oriented mindset with strong problem-solving abilities What This Role Offers: - Opportunity to apply advanced data science techniques to complex Sustainable Investment datasets - Exposure to cross-functional collaboration with Research, Product, and Engineering teams - Career growth in a domain that blends Sustainable Finance, Index Strategies, and advanced analytics Join us at LSEG, a leading global financial markets infrastructure and data provider, where you will be part of a team that values innovation, quality, and continuous improvement. Working with us means being part of a dynamic organization of 25,000 people across 65 countries, where your individuality is valued, and you are encouraged to bring your true self to work. We are committed to sustainability across our global business and proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation, provides charitable grants to community groups, and colleagues can get involved through fundraising and volunteering. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days, and wellbeing initiatives.,

As a Data Scientist (Generative AI) Lead with 4-6 years of experience based in Nagpur, you will play a crucial role in transforming raw data into valuable insights and cutting-edge AI products. Your responsibilities will encompass the entire project lifecycle, from defining business questions and analyzing datasets to deploying and monitoring models on the cloud. Additionally, you will spearhead generative-AI projects like chat assistants and retrieval-augmented search, manage a team of data professionals, and collaborate closely with product, engineering, and business teams to deliver tangible value. - Designing and implementing predictive and forecasting models that drive business impact. - Conducting A/B experiments to validate ideas and inform product decisions. - Establishing and maintaining data pipelines to ensure data integrity and timeliness. - Leading generative-AI initiatives such as LLM-powered chat and RAG search. - Deploying and monitoring models using contemporary MLOps practices in the public cloud. - Setting up monitoring and alerting systems for accuracy, latency, drift, and cost. - Mentoring your team and translating complex insights into actionable narratives for non-technical stakeholders. - Ensuring data governance and privacy compliance. - Staying abreast of new tools and methodologies to keep solutions at the cutting edge. To excel in this role, you should have: - A strong foundation in statistics, experiment design, and end-to-end ML workflows. - Proficiency in Python and SQL with a track record of transitioning models from notebooks to production. - Hands-on experience with cloud platforms like AWS, Azure, or GCP including container-based deployment and CI/CD pipelines. - Practical exposure to generative-AI projects involving prompt engineering, fine-tuning, and retrieval-augmented pipelines. If you are passionate about leveraging data science to drive innovation, possess strong technical skills, and enjoy collaborating with cross-functional teams to deliver impactful solutions, this role offers an exciting opportunity to lead transformative AI projects and make a significant contribution to the organization's success.,

**Job Description:** You will be responsible for understanding business processes and data to model requirements and create analytics solutions. Your key responsibilities will include building predictive models and recommendation engines using state-of-the-art machine learning techniques, analyzing data to discover actionable insights and patterns, and assisting the Function Head in data preparation and modeling tasks as required. **Key Responsibilities:** - Collaborate with business and IT teams for understanding and collecting data - Collect, collate, clean, process, and transform large volumes of primarily tabular data - Apply data preparation techniques like data filtering, joining, cleaning, missing value imputation, feature extraction, feature engineering, feature selection, dimensionality reduction, feature scaling, variable transformation, etc. - Apply basic algorithms like linear regression, logistic regression, ANOVA, KNN, clustering, SVM, naive Bayes, decision trees, principal components, association rule mining, etc. - Apply ensemble modeling algorithms like bagging, boosting, time-series modeling, and other state-of-the-art algorithms - Apply modeling concepts like hyperparameter optimization, feature selection, stacking, blending, cross-validation, bias and variance, overfitting, etc. - Build predictive models using machine learning techniques for regression, classification, clustering, recommendation engines, etc. - Perform advanced analytics of business data to find hidden patterns and insights and make strategic business recommendations based on the findings **Qualification Required:** - **Knowledge / Education:** - BE / B. Tech in any stream - **Specific Skills:** - Strong expertise in Python libraries like Pandas and Scikit Learn - Experience with Python editors like PyCharm and/or Jupyter Notebooks - Ability to organize code into modules, functions, and/or objects - Knowledge of using ChatGPT for machine learning is preferred - Familiarity with basic SQL for querying and Excel for data analysis - Understanding of statistics basics like distributions, hypothesis testing, sampling techniques - Familiarity with using ChatGPT, LLMs, out-of-the-box models for data preparation and model building - Kaggle experience - Familiarity with R - **Desirable Experience:** - At least 4 years of experience in solving business problems through data analytics, data science, and modeling - At least 2 years of experience as a full-time Data Scientist - Experience with at least 3 projects in ML model building used in production by business or clients Please note that familiarity with deep learning algorithms, image processing, classification, and text modeling using NLP techniques will not be considered for selection. To apply for this position, please email your resume to careers@isb.edu.,

As a Senior Data Scientist at Cisco, you will play a vital role in leveraging data to provide actionable insights for executives to make informed decisions. You will be part of a dynamic and innovative team based in Bangalore, India, dedicated to analyzing complex datasets and identifying growth opportunities for the organization. **Key Responsibilities:** - Design, develop, and implement advanced machine learning models to address complex business challenges. - Apply AI techniques and generative AI models to enhance data analysis and predictive capabilities. - Utilize Tableau and other visualization tools to create insightful dashboards for stakeholders. - Manage and optimize large datasets using Snowflake and Teradata databases. - Collaborate with cross-functional teams to understand business needs and provide analytical solutions. - Stay updated with the latest advancements in data science, machine learning, and AI technologies. - Mentor and guide junior data scientists to foster a culture of continuous learning. - Communicate complex analytical concepts effectively to non-technical stakeholders. **Minimum Qualifications:** - Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or related field. - At least 4 years of experience as a Data Scientist or in a similar role. - Proven track record in developing and deploying machine learning models and AI solutions. - Proficiency in Python, R, SQL, data visualization tools like Tableau, Snowflake, Teradata, and various databases. - Experience in ETL processes, data warehousing, data lakes, and cloud platforms like AWS, Azure, Google Cloud Platform. - Strong problem-solving and communication skills. **Preferred Qualifications:** - Strong communication and collaboration skills for effective teamwork. - Ability to translate business requirements into technical solutions. - Experience in statistical analysis, machine learning techniques, and business domains. - Understanding of sales, financials, marketing, and telemetry domains. At Cisco, you will be part of a company that has been at the forefront of innovation for 40 years, revolutionizing data connectivity and protection in the AI era. With a global network of experts and endless opportunities for growth, you will collaborate with a team that aims to create significant solutions that impact organizations worldwide. Cisco empowers you to make a difference and drive meaningful change on a global scale.,

As an experienced Data Scientist at Citco Bank, you will lead a growing analytics team to develop and implement sophisticated machine learning models and data-driven solutions. Your role will be crucial in driving data-based decision-making across banking and financial services operations. **Key Responsibilities:** - Lead the development and implementation of advanced machine learning models and statistical analyses to solve complex business problems - Collaborate with business stakeholders to translate requirements into analytical solutions - Manage a team of business intelligence experts - Work with technology teams to implement new techniques into the Citco Bank environments - Develop predictive models for risk assessment, fraud detection, customer behavior analysis, or forecasting - Create and maintain detailed documentation of methodologies, models, and processes - Design and build scalable data pipelines and ETL workflows - Present findings and recommendations to senior management and stakeholders - Monitor model performance and implement improvements as needed - Ensure compliance with banking regulations and data governance policies **Qualifications Required:** - Master's degree or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or related field - Professional certifications in relevant technologies or methodologies are a plus **Additional Details:** Citco Bank is a leading financial institution seeking a Data Scientist with a strong technical background and proven management experience to join our dynamic team. You will have the opportunity to work closely with cross-functional teams to deliver actionable insights and innovative solutions that drive business growth. Join us in shaping the future of banking and financial services with your expertise in data science and analytics.,

Role Overview: You will be responsible for developing strategies and solutions to address various problems using cutting-edge machine learning, deep learning, and GEN AI techniques. Leading a team of data scientists to ensure timely and high-quality delivery of project outcomes will be a key aspect of your role. You will analyze large and complex datasets across different domains, perform exploratory data analysis, and select features to build and optimize classifiers and regressors. Key Responsibilities: - Enhancing data collection procedures and ensuring data quality and accuracy. - Presenting analytical results to technical and non-technical stakeholders. - Creating custom reports and presentations with strong data visualization skills. - Proficiency in data mining, EDA, feature selection, model building, and optimization using machine learning and deep learning techniques. - Hands-on experience with algorithms for supervised and unsupervised problems, NLP, computer vision, and GEN AI. - Building deep learning models for text and image analytics using frameworks like ANNs, CNNs, LSTM, Transfer Learning, Encoder, and decoder. - Proficiency in programming languages such as Python, R, and common data science tools like NumPy, Pandas, Matplotlib, and frameworks like TensorFlow, Keras, PyTorch, XGBoost. - Experience with statistical inference, hypothesis testing, and cloud platforms like Azure/AWS. - Deploying models in production. Qualifications Required: - Deep understanding and hands-on experience with data science and machine learning techniques. - Expertise in building deep learning models for text and image analytics. - Proficiency in programming languages such as Python, R, and common data science tools. - Experience with statistical inference, hypothesis testing, and cloud platforms. - Excellent communication and interpersonal skills.,

Role Overview: As the AI & Machine Learning Data Scientist at Accenture, you will play a pivotal role in driving the internal transformation by spearheading the development and implementation of innovative AI and ML solutions. Your primary responsibility will be to collaborate with the Global IT (CIO) organization and senior leaders to enhance operational excellence through cutting-edge AI technologies. You will lead the exploration and execution of advanced Machine Learning projects, including Agentic AI solutions, to revolutionize Accenture's operations on GCP. Key Responsibilities: - Pioneer Internal AI Solutions: Lead the ideation and development of innovative AI and ML solutions for Accenture's internal processes. Conduct R&D and prototyping for emerging technologies like Agentic AI and LLMs to drive tangible value and efficiency for corporate functions. - Enterprise AI & MLOps Strategy: Design and oversee the implementation of a robust MLOps framework on GCP, utilizing tools such as Vertex AI. Define the strategic roadmap and best practices for the ML lifecycle to support Accenture's internal AI platform. - Stakeholder Partnership & Program Leadership: Act as a senior AI advisor to Accenture's C-suite and leaders in corporate functions (e.g., Finance, HR, IT). Collaborate closely with them to shape the internal AI vision and strategy in alignment with business priorities. - ML Solution Development: Lead critical internal machine learning projects, guiding teams in designing solutions for predictive modeling, NLP, and process automation. Demonstrate master proficiency in Machine Learning and expert proficiency in Platform Engineering to develop models and algorithms for solving complex business problems. - Practice and Capability Leadership: Build and mentor a top-tier team of internal AI and ML professionals, establishing and promoting best practices across the organization to drive a culture of data-driven innovation. Qualifications Required: - Proficiency in Artificial Intelligence, Machine Learning, Cloud Technology Architecture, and Natural Language Processing. - Experience in developing and deploying Machine Learning models on GCP, with expertise in feature engineering, model selection, and hyperparameter tuning. - Strong communication skills and the ability to collaborate with senior leaders to conceptualize and execute AI solutions that deliver measurable impact. - Prior experience in managing internal AI projects and guiding cross-functional teams through the implementation lifecycle. (Note: The additional details of the company were not provided in the job description.),

As a Statistical Programmer at our company, your role will involve supporting study and asset teams by delivering less complex statistical programming tasks. You will ensure the programming of analysis ready datasets, tables, listings, and figures with the highest level of excellence. Your responsibilities will include maintaining high-quality programming standards in your daily work and being accountable for the programming work assigned to you. Key Responsibilities: - Provide supportive QC work for other programmers" deliverables - Ensure appropriate documentation and QC documentation for your deliverables - Collaborate with programming leads to establish clear specifications for your programmed deliverables - Learn and grow in the space of programming and data standards Qualifications Required: - Proficiency in statistical programming - Strong attention to detail - Good communication skills - Ability to work collaboratively in a team Please note that Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.,

As a Data and Analytics Engineer at PwC, you will focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. You will play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In the realm of data science and machine learning engineering at PwC, your primary focus will be on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. Your responsibilities will include developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems. Key Responsibilities: - Design and implement scalable AI applications - Conduct applied research in Generative AI and advanced learning - Collaborate with team members to enhance project outcomes - Develop technical skills to support project tasks - Build and maintain relationships with clients - Analyze data to derive insights and inform decisions - Adapt to evolving technologies and methodologies - Contribute to a significant team focused on innovation Qualifications Required: - Master's Degree in Computer Science, Engineering, Econometrics, Statistics, Business Analytics, or Informatics - 2 years of experience - Oral and written proficiency in English required In this role, you are expected to apply a learning mindset and take ownership of your own development. You should appreciate diverse perspectives, needs, and feelings of others, and actively listen, ask questions to check understanding, and clearly express ideas. It is essential to gather information from a range of sources to analyze facts and discern patterns. Additionally, you must commit to understanding how the business works and building commercial awareness. As part of the AI Engineering team at PwC Acceleration Centers, you will have the opportunity to design and deliver scalable AI applications while conducting applied research in Generative AI and advanced learning. As an Associate, you will focus on learning and contributing to projects, developing your skills and knowledge to deliver quality work while building meaningful client connections and navigating complex situations. This role offers the chance to work with advanced technologies and be part of an impactful team dedicated to driving enterprise innovation.,

As a Lead Data Scientist/Data Science & Analytics Lead at our company in Kolkata, you will play a crucial role in analyzing and optimizing complex cash flows to drive sustainable growth. You will be responsible for leveraging data to derive actionable insights and strategic advantages for the business. **Role Overview:** You will be tasked with analyzing large volumes of transactional and financial data to develop predictive models that forecast future volumes, reduce chargebacks, and optimize refunds. Additionally, you will define and track critical KPIs such as margins, churn, cash flow, and cost per transaction. Leading the internal development team, you will translate business requirements into technical specifications and oversee the creation of an analytics CRM capable of suggesting data-driven strategies. **Key Responsibilities:** - Analyze large volumes of transactional and financial data - Develop predictive models for forecasting and optimization - Define and track critical KPIs - Lead internal development team and set priorities - Translate data into actionable insights for decision-making **Qualifications Required:** - Degree in a quantitative field (Mathematics, Statistics, Computer Science, Engineering, or similar) - Solid experience in data science, predictive modeling, and machine learning - Strong command of Python (pandas, scikit-learn, numpy) and SQL - Experience with data visualization tools (Power BI, Tableau, Metabase) - Ability to manage projects and collaborate with development teams - Strategic mindset with a focus on costs, margins, and business performance - Familiarity with AI-powered analytics and business decision-making **Additional Company Details:** At Koonei, we offer a competitive contract based on your experience and level of responsibility. You will have a direct impact on the future of our fast-growing startup and opportunities for professional growth in big data and AI. We cultivate a culture of collaboration, ownership, and innovation where your ideas are valued. This on-site position is located in Kolkata, West Bengal, India. If you are passionate about leading analytics in a high-impact role, we invite you to join our team and contribute to the success of our business.,

In this role, you are expected to provide an integrated end-to-end credit underwriting, identification, measurement, management, monitoring, and reporting for wholesale credit businesses across the enterprise. The ICM In-Business Quality Assurance function (QA) verifies that established standards and processes are followed and consistently applied. You will execute and participate in the Quality Assurance Reviews (QARs), providing feedback, insights, and observations on any deficiency and areas of improvement. As the ICM In-Business Quality Assurance Data Analytics Vice President, you will engage with the management of the respective ICM business area, Independent Risk, and critical partner stakeholders and regulators. Key Responsibilities: - Work closely with the In-Business Quality Assurance Head of Data Analytics to set the global strategy and lead the implementation of a robust Data analytics and testing program for the Quality Assurance function related to Wholesale Credit Risk (WCR) data governance. - Hands-on experience in designing, planning, prototyping, productionizing, deploying, maintaining, and documenting reliable and scalable data science solutions. - Responsible for deriving concrete insights from data, qualifying business impact, and monitoring and analyzing model performance and data accuracy. Qualifications Required: - Relevant experience in data analytics, Wholesale Credit Risk, and leadership skills. - Strong communication skills, ability to collaborate effectively with stakeholders at all levels, and a good understanding of risk and control framework in banks. - Solid organizational skills, a logical and methodical mindset, and the ability to work under pressure while managing time and priorities effectively. - Technical skills including coding knowledge and experience with programming languages like Python, Java, C++, and working with and manipulating large sets of data. - Bachelors or Masters degree in a quantitative or equivalent field is required, proficiency in data analysis tools like SQL, Python, SAS, R, Alteryx, Splunk, and visualization tools like Tableau, Qlikview, MS Power BI. Additional Details of the Company: If you have a drive to learn and master new technologies, excellent problem-solving skills, and clear communication abilities, you are encouraged to apply for this role. This position offers an opportunity to lead complex Quality Assurance work, provide effective challenge on data and credit processes, and partner with stakeholders to drive sustainable remediation.,

You will be responsible for designing, building, and maintaining ETL pipelines for large-scale structured and unstructured data. Your role will involve working with ClickHouse for fast and reliable querying, aggregation, and performance optimization. Additionally, you will develop and apply similarity algorithms for search, recommendation, and matching use cases. Data cleaning, preprocessing, and analysis to support business and product needs will also be part of your key responsibilities. Collaboration with cross-functional teams to drive data-informed decision-making and contributing to building, testing, and deploying predictive models are crucial aspects of the role. Key Responsibilities: - Design, build, and maintain ETL pipelines for large-scale structured and unstructured data. - Work with ClickHouse for fast, reliable querying, aggregation, and performance optimization. - Develop and apply similarity algorithms (cosine similarity, nearest neighbours, vector embeddings) for search, recommendation, and matching use cases. - Conduct data cleaning, preprocessing, and analysis to support business and product needs. - Collaborate with cross-functional teams to drive data-informed decision-making. - Contribute to building, testing, and deploying predictive models. Qualifications Required: - 3+ years of professional experience in data science, analytics, or data engineering. - Proven experience with ETL pipelines and data transformation frameworks. - Proficiency in SQL and experience with ClickHouse (or similar analytical databases). - Strong understanding of similarity algorithms and their applications. - Hands-on expertise in Python with libraries such as Pandas, NumPy, and Scikit-learn. - Analytical problem-solving mindset and strong logical reasoning abilities. - Ability to communicate complex insights clearly with both technical and non-technical stakeholders. Join Infilon Technologies today and unleash your potential! If you are interested in this opportunity, kindly share your CV at hr@infilon.com. Visit www.infilon.com for more information about the company.,

As a Data Analyst at the company, your responsibilities will include: - Collaborating with the team to analyze problems effectively - Writing functions/scripts to build datasets - Building and testing models - Writing informal reports for internal use - Working with developers and implementation engineers to spec out database models and determine the implementation of algorithms Qualifications required for this role: - 3-5 years of experience in the field - Experience in data analysis and methodologies - Experience in building time series and exposure to prediction modeling - Proficiency in R, Matlab, and Bayesian inference - Strong communication skills To apply for this position, kindly send your resume to careers@igloble.com.,