213 Data Wrangling Jobs - Page 2

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself and a better working world for all. As an AI Engineer at EY, your role involves leading the design, development, and deployment of advanced generative AI models, including large language models (LLMs), to drive innovation and solve complex business challenges. You will oversee the end-to-end data science lifecycle, from data acquisition and preprocessing to model validation and optimization, ensuring best practices and high-quality outcomes. Additionally, you will work on developing and deploying machine learning algorithms, ensuring that models are optimized for performance and scalability. In this position, you will also have the opportunity to mentor and guide junior data scientists, fostering a collaborative environment and promoting knowledge sharing of cutting-edge techniques and tools. Collaboration with cross-functional teams to integrate AI-driven insights into products and services, translating sophisticated models into practical, scalable solutions that drive measurable impact, is a key aspect of this role. Key Responsibilities: - Implementing AI solutions that seamlessly integrate with existing business systems to enhance functionality and user interaction. - Reviewing complex data sets to establish data quality and identifying where data cleansing is required for data remediation. - Designing and implementing data models to manage data within the organization. - Migrating data from one system to another using multiple sources and identifying and implementing storage requirements. - Analyzing the latest trends such as cloud computing and distributed processing, and their applications in business to build industry knowledge. - Peer reviewing models and collaborating with relevant business areas to ensure they are fit for the designed purpose. - Automating essential infrastructure for the data science team. - Staying up-to-date with AI trends and suggesting improvements to existing systems and workflows. Skills and Attributes for Success: - 8+ years of experience in machine learning, large scale data acquisition, transformation, and cleaning, for both structured and unstructured data. - Experience with generative LLM fine-tuning and prompt engineering. - Proficiency in data wrangling, visualization, and modeling in Python. - Experience in ML/NLP algorithms, including supervised and unsupervised learning. - Good knowledge of cloud ecosystems, with preference for experience in Azure. - Experience in machine learning frameworks and tools (e.g., sci-kit-learn, Keras, TensorFlow, MXNet, PyTorch, MLlib). - Strong programming skills in Python. - Experience with tools in distributed computing, GPU, cloud platforms, and Big Data domains (e.g., GCP, AWS, MS Azure, Hadoop, Spark, Databricks) is a plus. - Experience with SQL, Document DBs, and Vector DBs. - Batch Processing - Capability to design an efficient way of processing high volumes of data where a group of transactions is collected over a period. - Data Visualization and storytelling - Capability to assimilate and present data, as well as more advanced visualization techniques. Capability to engage and explain data creating a narrative around data visualization. - Knowledge of containerization platforms like Docker is a plus. - Experience with Git and modern software development workflow. Non-Technical Skills: - Strong team and business communication skills to effectively communicate with technical clients or explain complex concepts to non-technical individuals. - Ability to thrive in a fast-paced environment and work independently. - Excellent communication skills. Education: - Bachelor/Master/PG in Artificial Intelligence, Analytics, Data Science, Computer Science, Engineering, Information Technology, Social Sciences, or related fields preferred. What we look for: - Strong analytical skills and problem-solving ability. - A self-starter, independent-thinker, curious, and creative person with ambition and passion. - Excellent inter-personal, communication, collaboration, and presentation skills. - Customer-focused. - Excellent time management skills. - Positive and constructive mindset. - Takes responsibility for continuous self-learning. - Takes the lead and makes decisions in critical times and tough circumstances. - Attention to detail. - High levels of integrity and honesty. EY | Building a better working world EY exists to build a better working world, helping create long-term value for clients, people, and society while building trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate. Working across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.,

You will be joining a forward-thinking tech company as a Data Analyst Trainee, working remotely with a talented team of professionals. Your role will involve assisting experienced data analysts in transforming data into actionable insights through tasks such as data collection, cleaning, analysis, and reporting. This position offers a valuable opportunity to enhance your analytical skills while contributing to real business outcomes. Responsibilities: - Assist in collecting, cleaning, and preprocessing data from various sources. - Perform data analysis to identify trends, patterns, and correlations. - Create and maintain dashboards and reports for stakeholders. - Develop and implement basic data models and statistical analysis techniques. - Support the team in conducting exploratory data analysis (EDA). - Visualize data through graphs and charts to effectively communicate insights. - Collaborate with team members to identify key performance indicators (KPIs) and business metrics. - Help document data processes and maintain data quality standards. - Learn and apply best practices for data analysis and reporting. Requirements: - Currently pursuing or recently completed a degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. - Basic knowledge of data analysis tools and languages (e.g., Excel, SQL, Python, or R). - Strong analytical mindset and attention to detail. - Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus. - Passion for learning and developing new analytical skills. - Ability to work independently and collaborate effectively in a remote environment. - Strong communication skills and ability to present data insights clearly and concisely. - Time management skills and the ability to meet deadlines. Preferred Skills (optional But Advantageous): - Basic knowledge of statistical analysis and hypothesis testing. - Experience with data wrangling and cleaning techniques. - Understanding of data storage systems, such as relational databases. - Familiarity with machine learning concepts or algorithms is a bonus.,

As an independent, customer-focused global provider of interventional cardiovascular medical technologies, Cordis has a rich history of over 60 years in pioneering breakthrough technologies. Our legacy includes the development of the first guiding catheters and coronary drug eluting stents, solidifying our strong global footprint across 70 countries. At Cordis, we value teamwork and empowerment. Our culture encourages you to take ownership and unleash your innovative potential. With diverse teams on a global scale, we promote inclusivity, embracing individual uniqueness and perspectives. We believe that our diverse experiences enhance the careers of our team members, our service to customers, and ultimately, the lives of our patients. If you are seeking a challenging role where you can directly impact the lives of millions, Cordis is the perfect place for you. Join us in our mission to improve the wellbeing of millions, together. We are the driving force behind those who are dedicated to saving lives. Responsibilities: - Develop data modeling solutions following industry best practices. - Implement Star and extended star schema modeling with SCD Type I and II. - Conduct SQL performance measurement, query tuning, and database tuning. - Utilize Data Masking, Encryption, Data Wrangling, and Data Pipeline orchestration tasks. - Demonstrate expertise in Oracle ODI technology with hands-on experience in Golden Gate. - Willingness to upskill and learn Golden Gate, APEX technologies to support growth strategies. - Perform Data Integration with SFDC and other third-party tools. - Optimize ADW/ODI environments to enable cost savings and timely data solutions for business needs. - Develop scripts and programs to automate data operations. - Preferred domain knowledge in Healthcare Manufacturing and distribution. - Possess excellent analytical, problem-solving, time management skills, and be a strong team player. - Excellent communication skills. Qualifications: - Bachelor's degree or equivalent from an accredited institution; three years of progressive experience can be considered in lieu of each year of education. - Minimum of 8 years of experience in Oracle Cloud Technologies. - Over 15 years of experience in Data modeling/Warehouse and Database architecture design. - Working knowledge of ERP systems such as SAP & JDE. - Primary Skillset required: ODI, ADW. - Minimum 5 years of ODI Experience. - Strong teaming and collaboration skills both internally and externally. - Ability to develop ML/AI solutions using OAC/ADW technologies (OCI) and drive tangible business outcomes. Cordis is proud to be an Equal Opportunity Employer, providing a workplace that is inclusive and supportive of individuals with disabilities and protected veterans.,

As a professional in this role, you will be responsible for understanding the automation and data analytics requirements from the business and coordinating with developers to provide technical and functional assistance while estimating the business value for the organization. Your technical expertise should include the ability to create, design, or structure the data architecture in standard environment databases, data lakes, or cloud platforms such as GCP with a focus on data security. You will also need to structure large sets of data into easy and scalable formats, perform data integration and normalization on master data, and develop technical codes to convert business logics into data wrangling algorithms and tabulations. Your responsibilities will also include finding technical solutions to resolve problems in an analytical manner, transferring business data into real-time visualizations, establishing KPIs to measure the effectiveness of business decisions, and creating visually enhanced dashboards with predictive analysis through real-time data refresh. Additionally, you will be required to provide continuous monitoring and maintenance for delivered products, follow organization standards, maintain and track documentation for daily transformations, collaborate with stakeholders, communicate regular updates, and convert actions into value delivery.,

You will be a part of Bain Capability Network's Gurgaon office, specifically in the Data and Technology team, focusing on the Benchmarking team within the Data & Insights Industries CoE. Your primary responsibility will involve contributing to advancing Bain's expertise in the consumer products sector by developing and maintaining databases containing industry benchmarks and performance metrics. These data assets are crucial in providing Bain's consultants with valuable insights to drive client value in the consumer products industry. Furthermore, you will play a key role in creating intellectual property (IP) essential for new CPG cases globally at Bain. Your role will require you to translate business objectives into data and analytics solutions, utilizing various tools such as Gen AI, Scikit-Learn for machine learning models, and Hugging Face for NLP models. Collaborating with engineering and practice teams, you will be involved in designing scalable products, developing repeatable data processes, and staying updated on AI/ML technologies and best practices. Key responsibilities also include leading a small team, managing day-to-day activities, providing status updates, and creating standard operating procedures for data processes. A Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or related fields is preferred, along with 3+ years of experience in data science and engineering. Proficiency in Python or R, experience with AI/GenAI tools, RESTful and GraphQL APIs, MLOps practices, Git, and containerization is beneficial. Strong interpersonal and communication skills, along with the ability to explain technical concepts to a business audience, are essential for this role. Familiarity with Agile practices and Microsoft Office suite is preferred. Overall, you will play a vital role in enhancing Bain's capabilities in the consumer products sector through data-driven insights, innovative solutions, and advanced analytics. Your contributions will directly impact Bain's strategic guidance to clients and ensure excellence in the delivery of services.,

Join us as a BA4 - Control Data Analytics and Reporting at Barclays, where you will spearhead the evolution of our digital landscape, driving innovation and excellence. You will harness cutting-edge technology to revolutionize our digital offerings, ensuring unparalleled customer experiences. To be successful in this role, you should have experience with the following: Basic/ Essential Qualifications: - Graduate in any discipline. - Experience in Controls, Governance, Reporting, and Risk Management preferably in a financial services organization. - Proficient in MS Office tools such as PPT, Excel, Word, and Visio. - Proficient in SQL, Tableau, and Python. - Generating Data Insights and Dashboards from large and diverse data sets. - Excellent experience in Tableau, Alteryx, and MS Office (i.e. Advanced Excel, PowerPoint). - Automation skills using VBA, Power Query, PowerApps, etc. - Experience in using ETL tools. - Good understanding of Risk and Control. - Excellent communication skills (Verbal and Written). - Good understanding of governance and control frameworks and processes. - Highly motivated, business-focused, and forward-thinking. - Experience in senior stakeholder management. Ability to manage relationships across multiple disciplines. - Self-driven and actively participates in team initiatives. - Demonstrated initiative in identifying and resolving problems. Desirable skillsets/ good to have: - Experience in data crunching/analysis including automation. - Experience in handling RDBMS (i.e. SQL/Oracle). - Experience in Python, Data Science, and Data Analytics Tools and Techniques e.g. MatPlotLib, Data Wrangling, Low Code/No Code environment development preferably in a large bank on actual use cases. - Understanding of Data Management Principles and data governance. - Design and managing SharePoint. - Financial Services experience. Location: Noida. Purpose of the role: The purpose of this role is to design, develop, and consult on the bank's internal controls framework and supporting policies and standards across the organization, ensuring it is robust, effective, and aligned to the bank's overall strategy and risk appetite. Accountabilities include: - Identification and analysis of emerging and evolving risks across functions. - Communication of the purpose, structure, and importance of the control framework to relevant stakeholders. - Support in the development and implementation of the bank's internal controls framework tailored to its specific needs and risk profile. - Monitoring and maintenance of the control frameworks to ensure compliance and adjust as requirements change. - Embedment of the control framework across the bank through cross collaboration, training sessions, and awareness campaigns. Analyst Expectations: - Perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement. - Requires in-depth technical knowledge and experience in the assigned area of expertise. - Lead and supervise a team, guiding and supporting professional development. - Partner with other functions and business areas. - Take responsibility for managing risk and strengthening controls in relation to the work. - Demonstrate understanding of how areas coordinate and contribute to the achievement of the organization's objectives. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship along with the Barclays Mindset to Empower, Challenge, and Drive.,

The Principal Developer will work as part of an interdisciplinary team to develop solutions and tools that enable associates working on analyses and reporting activities in clinical trials. You will collaborate across Advance Quantitative Sciences (AQS) to understand the current user experience and collaborate with Product Owners to drive advancements in critical areas. Your primary focus will be on facilitating the utilization of open-source tools throughout the various tasks in AQS. As the Principal Developer, your responsibilities include developing technical tools (packages, applications, etc.) that support clinical trial teams. You will actively engage in the complete development cycle of tools, starting from collecting user requirements, prototyping, conducting demos, providing training, and ongoing support. Additionally, you will participate in enhancing the user experience for our associates, recognizing opportunities for continuous improvement and modernization. Your role also involves contributing to the development and adoption of sound data science practices and documenting tools and processes to promote modernization inclusively. Furthermore, you should be willing to engage with external communities and exhibit our work in external platforms. Key performance indicators for this role include the timely execution of projects and data requests, as well as feedback from project sponsors and key stakeholders. To qualify for this position, you should have an MSc with at least 5 years of relevant experience in a quantitative/computational science field (e.g., bioinformatics, machine learning, statistics, physics, mathematics, engineering) with practical experience as a data scientist/biostatistician. Strong proficiency in open-source languages such as R or Python for data manipulation, analysis, and exploration is essential. You should also demonstrate experience in good data science practices like utilizing virtual environments, versioning, and code review. A solution-oriented mindset, collaborative attitude, and proficiency in written English are also required. If this role aligns with your career goals and experience, we invite you to be part of our Novartis Network and explore this exciting opportunity to contribute to our mission of helping individuals with diseases and their families. Join us in creating a brighter future together by collaborating with a community of passionate individuals like yourself. Please note that Novartis is dedicated to fostering an exceptional and inclusive work environment that reflects the diversity of the patients and communities we serve.,

About The Role Skill required: Data Management - Structured Query Language (SQL) Designation: Data Eng, Mgmt & Governance Sr Analyst Qualifications: BE/BTech Years of Experience: 5 to 8 years What would you do? Were Accenture Marketing Operations. Were the global managed services arm of Accenture Interactive. We sit in the Operations Business to take advantage of the industrialized run capabilities leveraging investments from Accenture OperationsOur quest is to activate the best experiences on the planet by driving value across every customer interaction to maximize marketing performance. We combine deep functional and technical expertise to future-proof our clients business while accelerating time-to-market and operating efficiently at scale.We are digital professionals committed to providing innovative, end-to-end customer experience solutions focusing on operating marketing models that help businesses transform and excel in the new world, with an ecosystem that empowers our clients to implement the changes necessary to support the transformation of their businesses.Domain-specific language used in programming and designed for querying and modifying data and managing databases. What are we looking for? Data collation, analysis, and reporting capability Expert in GCP, SQL, Excel Create metadata, pipelines for analytics Ability to mentor and guide team members Good understanding of database concepts Prior experience of handling large volumes of data for Adhoc analysis and standard business reporting, data wrangling Developing pipelines and deploying jobs in production e.g. using Airflow Excellent verbal and written communication Strong team player and excellent problem-solving skills Ability to work in a global collaborative team environment Attention to detail and ability to work in high pressure environment Experience with Python Experience in CPG, Retail, Beauty Previous experience of BI tools (e.g. Looker or Tableau or Power BI) Roles and Responsibilities: Build/Maintain logical, physical, and semantic data models that support marketing KPIs, campaign reporting, attribution, segmentation, and personalization Build/Maintain scalable schemas, data marts, and analytical layers optimized for performance in BI and analytics applications Maintain metadata standards, data catalogs, and documentation to ensure data traceability and discoverability Lead efforts to ingest, standardize, and harmonize data from multiple marketing sources Ensure compliance with data privacy regulations (e.g., GDPR, CCPA) and define access controls and security models for sensitive customer data Perform bug diagnosis and fix Qualification BE,BTech

Join us for an exciting opportunity to elevate your career in marketing analytics. As a Performance Marketing Quant Analytics Associate Senior at JPMorgan Chase within the Data and Analytics Team, you will drive strategic insights and performance improvements across marketing campaigns. Collaborate with business lines to deliver impactful analytics solutions. Your responsibilities will include planning, executing, and delivering performance marketing analytics projects. You will identify attributes that describe shifts in performance and create data assets from large disparate sources for unified marketing performance views. Conduct strategic analyses for campaigns, marketing, and personalization. Design dashboards to inform executives on critical operational business KPIs and strategic metrics. Become a trusted partner and thought leader in marketing data & analytics. Invent creative methods to answer key business questions using data assets. Build expertise on marketing data from all Chase lines of business. Synthesize analytical findings for senior business executives in both written and verbal formats. Required Qualifications, Capabilities, and Skills: - Minimum 8 years of experience with a strong academic background with a STEM Bachelor's/Master's from a well-recognized university. - 6+ years of advanced hands-on experience in SQL. - 5+ years of advanced experience in data visualization, specifically in Tableau. - 5+ years of advanced experience in data wrangling, in Alteryx/Python. - 5+ years of advanced experience in web interaction data & analytics, with Adobe Analytics. - 5+ years of advanced knowledge in MS Excel. - Demonstrated experience in the design of experiments, statistics, and using ML for exploratory driver analysis. - Proven analytics skills with strong hands-on experience in analyzing data, extracting insights, and recommending business solutions. - Great presentation skills, both verbal and in MS PowerPoint. Preferred Qualifications, Capabilities, and Skills: - Experience with analytics suite and back-end data of Adobe Analytics, Salesforce Marketing Cloud, Persado, Harmony, or similar tools. - Familiarity with cloud-based environments and developing production-level code.,

You will be joining a NYSE-listed financial services company in their fast-growing Digital Value Creation (DVC) group at either the Associate or Vice President level. Your main focus will be utilizing data analytics for M&A-related financial and operational analysis across various industries. Your responsibilities will include participating in buy-side and sell-side M&A engagements, leading engagements or substantial workstreams, managing day-to-day project activities, communicating with senior executives and stakeholders, organizing and evaluating meta data, preparing data workflows and visualizations, generating business insights, identifying risks and opportunities affecting business valuation, and supporting business development efforts. Key requirements for this role include a Bachelor's degree in technology, computer science, accounting, finance, or a quantitative field, experience in financial analytics, proficiency in data wrangling tools like Alteryx or Dataiku, knowledge of data visualization tools such as Tableau or Power BI, strong command of advanced Excel functions, analytical skills, excellent communication abilities, and 7 to 10 years of professional experience. You should also be willing to continuously improve your industry knowledge, train peers on data analysis tools, work on multiple assignments simultaneously, review the work of junior team members, manage a small team, and contribute actively to the professional development of your team members.,

Job Description : You are passionate about cutting-edge technology and keen on applying new AI/ML algorithms and approaches. You are analytically driven, intellectually curious, and experienced leading the development and implementation of data and analytic solutions to solve challenging business problems. You have excellent understanding of web frameworks for quickly showcasing the features and functionalities of the solution. You enjoy collaborating with other data scientists to crack hard to solve problems with AI/ML and seeing it deployed in-market and generating value for Guardian. You enjoy collaborating with a multi-disciplinary team including data engineers, business analysts, software developers and functional business experts and business leaders. You have: • 8+ years of experience in Statistics, Computer Science, Engineering, Applied mathematics or related field • 5+ years of hands-on ML modeling/development experience • Solid understanding of data analysis and statistical modeling. • Solid experience with web frameworks like Streamlit, Flask, Django etc • Knowledge of a variety of machine learning techniques (clustering, decision tree, bagging/boosting artificial neural networks, etc.) and their real-world advantages/drawbacks. • Demonstrated track records in experimental design and executions • Hands-on experience with data wrangling including fuzzy matching and regular expression, distributed computing and applying parallelism to ML solutions • Strong programming skills in Python • Solid background in algorithms and a range of ML models • Excellent communication skills and ability to work and collaborating cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on level • Excellent analytical and problem-solving abilities with superb attention to detail • Proven leadership in providing technical leadership and mentoring to data scientists and strong management skills with ability to monitor/track performance for enterprise success Job Description : You are pa ssion ate about cutting-edge technology and keen on apply ing GenAI algori t hms and approaches . Yo u a re analytical ly driven, inte l lectually cur iou s, and experienced leading the development and implementation of data and analytic solutions to solve challenging business problems. You are mostly an Individual Contributor who enjoy s crack ing hard to solve problems with recent LLMs and seeing it deployed in-market and generating value for Guardian. You enjoy collaborating with a multi-disciplinary team including data engineers, business analysts, software developers and functional business experts and business leaders. You have demonstrated track record of managing data science teams and working with business leaders. You have: PhD with 6+ years of experience, Master's degree with 8+ years of expe rienc e, or B achel or's degree with 10+ years of experience in Computer Science, Engineering, A pplied mathem atics or related field 7+ years of hands-on ML modeling/development experience Experience in creating GenAI and Agentic AI applications Solid working knowledge of the engineering components essential in a Gen AI application, including Vector DB, caching layer, chunking, and embedding Knowledge of a variety of machine learning techniques (clustering, decision tree, bagging/boosting artificial neural networks, etc.) and their real-world advantages/drawbacks. Demonstrated track records in experimental design and executions Strong ski lls i n Python , PyTorch , Langchain , LangGraph etc Solid background in algorithms and a range of ML models Excellent communication skills and ability to work and collaborating cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on level Excellent analytical and problem-solving abilities wit h superb attention to detail Proven leadership in providing tec hnical le adership and mentoring to data scientists and strong management skills with ability to monitor /track performance for enterprise success Location: This position can be based in any of the following locations: Chennai, Gurgaon For internal use only: R000107556

As a Power BI Visualization Engineer, you will be a valuable member of our analytics team, contributing your expertise in designing and building interactive Power BI dashboards and reports. Your primary responsibility will be to translate complex datasets into visually appealing insights that aid in business decision-making. Your proficiency in Power BI, coupled with secondary skills in Power Platform, Python, data modeling, and ETL processes, will be instrumental in creating impactful data visualization solutions. Your key responsibilities will include designing, developing, and deploying interactive Power BI dashboards and reports tailored to meet specific business requirements. You will collaborate with various teams to gather requirements, define key performance indicators (KPIs), and ensure that the data structures within Power BI are optimized. Writing and managing complex DAX formulas, creating relationships between data sources, and supporting ETL processes will also be crucial aspects of your role. Furthermore, you will leverage Power Platform tools such as Power Apps and Power Automate to enhance dashboard interactivity and automate workflows. Collaborating with Data Engineering to support large data volumes, using Python for data wrangling and custom logic embedding, and ensuring data quality, governance, and security compliance across all reporting solutions will be essential components of your work. To excel in this role, you must have proven experience in Power BI dashboard and data model development, a strong command of Power BI Desktop, Power BI Service, and DAX, as well as proficiency in data modeling concepts and creating relationships between data sources. Additionally, familiarity with Power Platform tools, ETL development using Power Query, SSIS, or Python, and hands-on experience with SQL and databases like SQL Server or PostgreSQL are required. Preferred qualifications include experience with Azure Data Services, machine learning integration into Power BI, knowledge of pipeline orchestration tools like the KEDRO framework, exposure to AI-driven analytics and predictive modeling, and relevant Microsoft certifications. If you are passionate about data visualization, analytics, and Power BI innovation, we encourage you to apply to join our high-impact team dedicated to driving data-led decisions.,

Analytical Wizards is part of the Definitive Healthcare family, striking a balance between innovation and a welcoming culture with the support of a reputable parent company. Guiding customers towards future solutions by leveraging data and applications, we aim to achieve outcomes that benefit both businesses and society. Our team is our greatest asset, driving our innovation advantage, and we are committed to providing a flexible and collaborative workspace where they can flourish. We offer industry-leading benefits to foster a creative and inclusive environment. If you find pride in driving real change and are passionate about making a social impact, we would love to hear from you. As a Data Scientist / Senior Data Scientist at Analytical Wizards, you will be responsible for utilizing strong coding skills and experience in data handling and wrangling using Python. Your role will involve working on projects related to advanced analytics, generating reports and metrics from complex datasets, and developing solution workbenches. Additionally, you will engage in sales and marketing projects, focusing on areas such as multi-channel marketing effectiveness, campaign analysis, and designing experiments. The ideal candidate should be able to apply statistical and AI/ML tools to support clients in making informed business decisions, while also possessing a keen aptitude for deriving insights from data. Responsibilities: - Specialize in custom projects related to prescription and claims-based reporting and modeling - Collaborate with Product and Customer Success teams to provide informed analyses to customers - Generate deliverables for customer engagements - Work with team members to implement optimized solutions - Contribute to internal projects and processes - Mentor junior analysts and drive best practices - Independently scope client requests Qualifications: - 2 to 5 years of experience in Data Science with expertise in Python - Educational background in Engineering, Operations Research, Econometrics, or Statistics - Hands-on experience with Python is essential - Strong interpersonal, presentation, and communication skills - Proficiency in Microsoft Excel and SQL - Ability to work with large datasets, think innovatively, and suggest process improvements - Knowledge of Pharma datasets is an added advantage ISMS Responsibilities: - Adhere to information security policies and processes - Report security weaknesses or risks to the organization - Execute tasks related to the information security management system Join Analytical Wizards and be a part of: - Industry-leading products - Growth opportunities in a fast-paced environment - A flexible and dynamic culture - Collaboration with talented teammates - Employee-friendly work environment with high engagement About AnalyticalWizards Services Pvt. Ltd.: AnalyticalWizards Services Pvt. Ltd. is a high-growth Analytics Software Development company focused on developing products that positively impact human lives worldwide. Headquartered in New Jersey with a delivery center in Bangalore, we specialize in the Healthcare Industry, creating data science products that help clients derive unique insights from big data. Our work involves advanced algorithms in artificial intelligence and machine learning, catering to the top pharma and biotechnology companies globally. Recognized as one of the fastest-growing private companies in the USA, we offer a collaborative, innovative, and fast-paced work culture conducive to learning and growth.,

About The Role Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Palantir Foundry, MySQL, Python (Programming Language), PySpark Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will engage in the design, construction, and configuration of applications tailored to fulfill specific business processes and application requirements. Your typical day will involve collaborating with team members to understand project needs, developing innovative solutions, and ensuring that applications are optimized for performance and usability. You will also participate in testing and debugging processes to ensure the applications function as intended, while continuously seeking ways to enhance application efficiency and user experience. Roles & Responsibilities:Develop and maintain robust data pipelines and workflows within the Palantir Foundry platform.Leverage Pyspark and Python for large-scale data processing, transformation, and integration across diverse data sources.Design, implement, and optimize advanced SQL queries for data extraction, manipulation, and analysis.Collaborate closely with business analysts, data scientists, and other engineers to translate business requirements into scalable data solutions.Ensure data quality, integrity, and security throughout the data lifecycle.Troubleshoot, debug, and optimize data workflows for performance and reliability.Document architecture, processes, and best practices for ongoing support and knowledge sharing. Required Skills & QualificationsPalantir Foundry:Proven experience building data pipelines, managing datasets, and deploying applications within Foundry. Specifics required are as follows:oPractical skills required to build and maintain production-grade data pipelines, data connections, and ontologiesoGeneral knowledge of platform capabilities and specific applications within the Foundry suite that are useful for performing the job of data engineeroDATA PIPELINE DEVELOPMENT IN FOUNDRYDevelop transforms on structured (tabular) and unstructured datasets in FoundryApply best practices when building data pipelinesoDATA PIPELINE MAINTENANCE IN FOUNDRYEffectively investigate and fix common issues in data pipelinesContribute to logic changes and performance improvements to transform pipelines feeding mission critical workflowsFamiliarity with recommended support structuresoDATA CONNECTION AND INTEGRATION IN FOUNDRYFamiliarity with architecture and capabilities of Data ConnectionSet up sources and syncs ingesting tabular data or raw files from external systems to FoundryoONTOLOGY DESIGN AND DEVELOPMENT IN FOUNDRYProvide data engineering context during ontology design and implement pipelines backing ontology objects and links based on application requirementsSpark/Pyspark:Strong expertise in distributed data processing and transformation using Spark/Pyspark.Python:Proficiency in Python for scripting, automation, and data wrangling tasks.SQL:Advanced skills in writing efficient SQL queries for complex data manipulation and reporting.Familiarity with data modeling, ETL processes, and best practices in data engineering.Experience working with large and complex data sets from multiple sources.Excellent problem-solving, communication, and collaboration skills. Additional Information:- The candidate should have minimum 3 years of experience in Palantir Foundry.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Palantir Foundry, MySQL, Python (Programming Language), PySpark Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with various teams to understand their needs, developing solutions that align with business objectives, and ensuring that applications are optimized for performance and usability. You will also engage in problem-solving activities, providing support and enhancements to existing applications while ensuring that all development aligns with best practices and organizational standards. Roles & Responsibilities:Develop and maintain robust data pipelines and workflows within the Palantir Foundry platform.Leverage PySpark and Python for large-scale data processing, transformation, and integration across diverse data sources.Design, implement, and optimize advanced SQL queries for data extraction, manipulation, and analysis.Collaborate closely with business analysts, data scientists, and other engineers to translate business requirements into scalable data solutions.Ensure data quality, integrity, and security throughout the data lifecycle.Troubleshoot, debug, and optimize data workflows for performance and reliability.Document architecture, processes, and best practices for ongoing support and knowledge sharing. Professional & Technical Skills: Palantir Foundry:Proven experience building data pipelines, managing datasets, and deploying applications within Foundry. Specifics required are as follows:oPractical skills required to build and maintain production-grade data pipelines, data connections, and ontologiesoGeneral knowledge of platform capabilities and specific applications within the Foundry suite that are useful for performing the job of data engineeroDATA PIPELINE DEVELOPMENT IN FOUNDRY?Develop transforms on structured (tabular) and unstructured datasets in Foundry?Apply best practices when building data pipelinesoDATA PIPELINE MAINTENANCE IN FOUNDRY?Effectively investigate and fix common issues in data pipelines?Contribute to logic changes and performance improvements to transform pipelines feeding mission critical workflows?Familiarity with recommended support structuresoDATA CONNECTION AND INTEGRATION IN FOUNDRY?Familiarity with architecture and capabilities of Data Connection?Set up sources and syncs ingesting tabular data or raw files from external systems to FoundryoONTOLOGY DESIGN AND DEVELOPMENT IN FOUNDRY?Provide data engineering context during ontology design and implement pipelines backing ontology objects and links based on application requirementsSpark/PySpark:Strong expertise in distributed data processing and transformation using Spark/PySpark.Python:Proficiency in Python for scripting, automation, and data wrangling tasks.SQL:Advanced skills in writing efficient SQL queries for complex data manipulation and reporting.Familiarity with data modeling, ETL processes, and best practices in data engineering.Experience working with large and complex data sets from multiple sources.Excellent problem-solving, communication, and collaboration skills. Additional Information:- The candidate should have minimum 5 years of experience in Palantir Foundry.- A 15 years full time education is required. Qualification 15 years full time education

Looking for immediate joiner - Mumbai (work from office) Roles and Responsibilities: Programming Skills knowledge of statistical programming languages like R, Python, and database query languages like SQL, Hive, Pig is desirable. Familiarity with Scala, Java, or C++ is an added advantage. Data mining or extracting usable data from valuable data sources Carrying out the preprocessing of structured and unstructured data Enhancing data collection procedures to include all relevant information for developing analytic systems Processing, cleansing, and validating the integrity of data to be used for analysis Analyzing large amounts of information to find patterns and solutions Data Wrangling proficiency in handling imperfections in data is an important aspect of a data scientist job description.

Role Overview We are seeking a Machine Learning Data Scientist with hands-on experience in building, training, and deploying ML models that solve real-world business problems. The ideal candidate should be proficient in ML algorithms, feature engineering, model evaluation, and deployment, with strong programming and statistical skills. Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise Key Responsibilities Work with stakeholders to understand business problems and translate them into ML solutions. Perform data exploration, cleaning, and feature engineering for structured and unstructured datasets. Build and validate models using algorithms for classification, regression, clustering, recommendation, NLP, or CV as applicable. Use Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) for ML workflows. Deploy models into production via ML pipelines (MLflow, SageMaker, Azure ML, or equivalent). Track and evaluate models using MLOps practices (versioning, reproducibility, monitoring). Present insights and recommendations to business teams with visualizations and storytelling. Preferred technical and professional experience Mandatory Skills Strong proficiency in Python for ML. Good understanding of statistics, probability, and hypothesis testing. Experience with ML frameworks (Scikit-learn, TensorFlow, PyTorch). Hands-on with data wrangling, feature engineering, and preprocessing. Practical experience with at least one cloud ML platform (Azure ML, AWS SageMaker, or GCP Vertex AI). Experience with model deployment and lifecycle management (MLflow or similar). Good to Have Experience with NLP (transformers, embeddings) or Computer Vision (CNNs). Exposure to Databricks MLflow & Feature Store. Familiarity with big data frameworks (Spark, Databricks, Hadoop). Experience with real-time ML inference pipelines.

Primary Skills- Good R programming Development, Hive SQL, testing, and maintenance of R scripts, functions, and packages to support data analysis and modeling , dplyr, ggplot2, Shiny, and tidy verse Secondary Skills Integrate R-based solutions with other data technologies like SQL Job Description 6-9 years of overall work experience and at least 2 years of R programming with excellent communication skills Experience in Development, testing, and maintenance of R scripts, functions, and packages to support data analysis and modeling. Strong understanding of data structures, data cleaning, and transformation techniques. Experience with version control systems like Git. Proficiency in data wrangling and using R packages such as dplyr, ggplot2, Shiny, and tidy verse Background in cloud platforms in AWS and Snowflake. Experience with big data technologies like Hive SQL is preferable. Integrate R-based solutions with other data technologies like SQL.

Responsibilities Understand the requirements from the business and translate it into an appropriate technical requirements. Creating a detailed business analysis, outlining problems, opportunities and solutions for a business. Perform activities related to data wrangling, model building and model deployment. Stay current with the latest research and technology and communicate your knowledge throughout the enterprise. Lead initiatives to improve the team morale, camaraderie, and collaboration Technical and Professional Requirements: Generative AI, AI/ML, Python, Databricks Preferred Skills: Technology->Machine Learning->Generative AI Educational Requirements MCA,Bachelor of Engineering,BCA Service Line Data & Analytics Unit

Skill required: Tech for Operations - Artificial Intelligence (AI) Designation: AI/ML Computational Science Manager Qualifications: Any Graduation/Post Graduate Diploma in Management Years of Experience: 13 to 18 years Language - Ability: English(Domestic) - Advanced About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do You will be part of the Technology for Operations team that acts as a trusted advisor and partner to Accenture Operations. The team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. We work closely with the sales, offering and delivery teams to identify and build innovative solutions.The Tech For Operations (TFO) team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. Works closely with the sales, offering and delivery teams to identify and build innovative solutions. Major sub deals include AHO(Application Hosting Operations), ISMT (Infrastructure Management), Intelligent AutomationUnderstanding of foundational principles and knowledge of Artificial Intelligence AI including concepts, techniques, and tools in order to use AI effectively. What are we looking for Machine LearningMachine Learning AlgorithmsMicrosoft Azure Machine LearningPython (Programming Language)Python Software DevelopmentAbility to work well in a teamWritten and verbal communicationNumerical abilityResults orientation3 CL7 AI Research Scientists1. Deep Expertise in Machine Learning & AI Theory2. Algorithm Design & Theoretical Innovation3. Data Proficiency & Synthetic Data Generation4. Responsible AI & Ethical Awareness5. Programming & ToolingThe Azure OpenAI Service L100 deck also emphasizes the evolution of tooling from symbolic AI to modern generative models 6.6. Collaboration & CommunicationAI Research Scientists often work in interdisciplinary teams and must:Publish researchPresent at conferencesCollaborate with engineers, product teams, and stakeholders2 CL7 ML Research Engineers:1. Mathematical & Statistical Foundations2. Programming & Software Engineering3. Model Development & Experimentation4. MLOps & Deployment5. Data Engineering & Feature EngineeringML Research Engineers must be adept at:Data wrangling, feature extraction, and data validationWorking with structured, unstructured, and streaming dataCollaborating with data engineers to ensure data quality and availability Roles and Responsibilities: In this role you are required to identify and assess complex problems for area of responsibility The person would create solutions in situations in which analysis requires an in-depth evaluation of variable factors Requires adherence to strategic direction set by senior management when establishing near-term goals Interaction of the individual is with senior management at a client and/or within Accenture, involving matters that may require acceptance of an alternate approach Some latitude in decision-making in involved you will act independently to determine methods and procedures on new assignments Decisions individual at this role makes have a major day to day impact on area of responsibility The person manages large - medium sized teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Please note that this role may require you to work in rotational shifts Qualification Any Graduation,Post Graduate Diploma in Management

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Palantir Foundry, MySQL, Python (Programming Language), PySpark Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will engage in the design, construction, and configuration of applications tailored to fulfill specific business processes and application requirements. Your typical day will involve collaborating with team members to understand project needs, developing innovative solutions, and ensuring that applications are optimized for performance and usability. You will also participate in testing and debugging processes to ensure the applications function as intended, while continuously seeking ways to enhance application efficiency and user experience. Roles & Responsibilities:Develop and maintain robust data pipelines and workflows within the Palantir Foundry platform.Leverage Pyspark and Python for large-scale data processing, transformation, and integration across diverse data sources.Design, implement, and optimize advanced SQL queries for data extraction, manipulation, and analysis.Collaborate closely with business analysts, data scientists, and other engineers to translate business requirements into scalable data solutions.Ensure data quality, integrity, and security throughout the data lifecycle.Troubleshoot, debug, and optimize data workflows for performance and reliability.Document architecture, processes, and best practices for ongoing support and knowledge sharing. Required Skills & QualificationsPalantir Foundry:Proven experience building data pipelines, managing datasets, and deploying applications within Foundry. Specifics required are as follows:oPractical skills required to build and maintain production-grade data pipelines, data connections, and ontologiesoGeneral knowledge of platform capabilities and specific applications within the Foundry suite that are useful for performing the job of data engineeroDATA PIPELINE DEVELOPMENT IN FOUNDRYDevelop transforms on structured (tabular) and unstructured datasets in FoundryApply best practices when building data pipelinesoDATA PIPELINE MAINTENANCE IN FOUNDRYEffectively investigate and fix common issues in data pipelinesContribute to logic changes and performance improvements to transform pipelines feeding mission critical workflowsFamiliarity with recommended support structuresoDATA CONNECTION AND INTEGRATION IN FOUNDRYFamiliarity with architecture and capabilities of Data ConnectionSet up sources and syncs ingesting tabular data or raw files from external systems to FoundryoONTOLOGY DESIGN AND DEVELOPMENT IN FOUNDRYProvide data engineering context during ontology design and implement pipelines backing ontology objects and links based on application requirementsSpark/Pyspark:Strong expertise in distributed data processing and transformation using Spark/Pyspark.Python:Proficiency in Python for scripting, automation, and data wrangling tasks.SQL:Advanced skills in writing efficient SQL queries for complex data manipulation and reporting.Familiarity with data modeling, ETL processes, and best practices in data engineering.Experience working with large and complex data sets from multiple sources.Excellent problem-solving, communication, and collaboration skills. Additional Information:- The candidate should have minimum 3 years of experience in Palantir Foundry.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Palantir Foundry, MySQL, Python (Programming Language), PySpark Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with various teams to understand their needs, developing solutions that align with business objectives, and ensuring that applications are optimized for performance and usability. You will also engage in problem-solving activities, providing support and enhancements to existing applications while ensuring that all development aligns with best practices and organizational standards. Roles & Responsibilities:Develop and maintain robust data pipelines and workflows within the Palantir Foundry platform.Leverage PySpark and Python for large-scale data processing, transformation, and integration across diverse data sources.Design, implement, and optimize advanced SQL queries for data extraction, manipulation, and analysis.Collaborate closely with business analysts, data scientists, and other engineers to translate business requirements into scalable data solutions.Ensure data quality, integrity, and security throughout the data lifecycle.Troubleshoot, debug, and optimize data workflows for performance and reliability.Document architecture, processes, and best practices for ongoing support and knowledge sharing. Professional & Technical Skills: Palantir Foundry:Proven experience building data pipelines, managing datasets, and deploying applications within Foundry. Specifics required are as follows:oPractical skills required to build and maintain production-grade data pipelines, data connections, and ontologiesoGeneral knowledge of platform capabilities and specific applications within the Foundry suite that are useful for performing the job of data engineeroDATA PIPELINE DEVELOPMENT IN FOUNDRY?Develop transforms on structured (tabular) and unstructured datasets in Foundry?Apply best practices when building data pipelinesoDATA PIPELINE MAINTENANCE IN FOUNDRY?Effectively investigate and fix common issues in data pipelines?Contribute to logic changes and performance improvements to transform pipelines feeding mission critical workflows?Familiarity with recommended support structuresoDATA CONNECTION AND INTEGRATION IN FOUNDRY?Familiarity with architecture and capabilities of Data Connection?Set up sources and syncs ingesting tabular data or raw files from external systems to FoundryoONTOLOGY DESIGN AND DEVELOPMENT IN FOUNDRY?Provide data engineering context during ontology design and implement pipelines backing ontology objects and links based on application requirementsSpark/PySpark:Strong expertise in distributed data processing and transformation using Spark/PySpark.Python:Proficiency in Python for scripting, automation, and data wrangling tasks.SQL:Advanced skills in writing efficient SQL queries for complex data manipulation and reporting.Familiarity with data modeling, ETL processes, and best practices in data engineering.Experience working with large and complex data sets from multiple sources.Excellent problem-solving, communication, and collaboration skills. Additional Information:- The candidate should have minimum 5 years of experience in Palantir Foundry.- A 15 years full time education is required. Qualification 15 years full time education

Role Description: As a Software Engineer - Data Science and Modeling at Incedo, you will be responsible for developing and deploying predictive models and machine learning algorithms to support business decision-making. You will work with data scientists, data engineers, and business analysts to understand business requirements and develop data-driven solutions. You will be skilled in programming languages such as Python or R and have experience in data science tools such as TensorFlow or Keras. You will be responsible for ensuring that models are accurate, efficient, and scalable. Roles & Responsibilities: Developing and implementing machine learning models and algorithms to solve complex business problems Conducting data analysis and modeling using statistical and data analysis tools Collaborating with other teams to ensure the consistency and integrity of data Providing guidance and mentorship to junior data science and modeling specialists Presenting findings and recommendations to stakeholders Technical Skills Skills Requirements: Proficiency in statistical analysis techniques such as regression analysis, hypothesis testing, or time-series analysis. Knowledge of machine learning algorithms and techniques such as supervised learning, unsupervised learning, or reinforcement learning. Experience with data wrangling and data cleaning techniques using tools such as Python, R, or SQL. Understanding of big data technologies such as Hadoop, Spark, or Hive. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Nice-to-have skills Qualifications Qualifications 3-5 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Role Description : As a Senior Data Science and Modeling Specialist at Incedo, you will be responsible for developing and deploying predictive models and machine learning algorithms to support business decision-making. You will work with data scientists, data engineers, and business analysts to understand business requirements and develop data-driven solutions. You will be skilled in programming languages such as Python or R and have experience in data science tools such as TensorFlow or Keras. You will be responsible for ensuring that models are accurate, efficient, and scalable. Roles & Responsibilities: Developing and implementing machine learning models and algorithms to solve complex business problems Conducting data analysis and modeling using statistical and data analysis tools Collaborating with other teams to ensure the consistency and integrity of data Providing guidance and mentorship to junior data science and modeling specialists Presenting findings and recommendations to stakeholders Technical Skills Skills Requirements: Proficiency in statistical analysis techniques such as regression analysis, hypothesis testing, or time-series analysis. Knowledge of machine learning algorithms and techniques such as supervised learning, unsupervised learning, or reinforcement learning. Experience with data wrangling and data cleaning techniques using tools such as Python, R, or SQL. Understanding of big data technologies such as Hadoop, Spark, or Hive. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team. Nice-to-have skills Qualifications 4-6 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Financial Analyst: Elevate Your Impact Through Innovation and Learning Evalueserve is a global leader in delivering innovative and sustainable solutions to a diverse range of clients, including over 30% of Fortune 500 companies. With a presence in more than 45 countries across five continents, we excel in leveraging state-of-the-art technology, artificial intelligence, and unparalleled subject matter expertise to elevate our clients' business impact and strategic decision-making. Our team of over 4, 500 talented professionals operates in countries such as India, China, Chile, Romania, the US, and Canada. Our global network also extends to emerging markets like Colombia, the Middle East, and the rest of Asia-Pacific. Recognized by Great Place to Work in India, Chile, Romania, the US, and the UK in 2022, we offer a dynamic, growth-oriented, and meritocracy-based culture that prioritizes continuous learning and skill development, work-life balance, and equal opportunity for all. Curious to know what its like to work at Evalueserve? About Corporate and Investment Banking As a global leader in knowledge processes, research, and analytics, youll be working with a team that specializes in global market research, working with the top-rated investment research organizations, bulge bracket investment banks, and leading asset managers. We cater to 8 of the top 10 global banks, working alongside their product and sector teams, supporting them on deal origination, execution, valuation, and transaction advisory-related projects. What you will be doing at Evalueserve- The financial analyst (FA)position is designed for highly detail-oriented, technically strong candidateswho will own critical analytical workflows and model infrastructure. The roleinvolves delivering standardized, high-precision financial models usingpre-populated historical datasets and converting them into functioning shellmodels complete with segment details. Your work will provide atime-zone advantage to the US desk and directly enhance our investment process.This role offers an opportunity to grow into a senior investment associate who worksdirectly with associate portfolio managers on investment ideas. Build, maintain, and standardize financial models with an emphasis on Clear architecture and consistent templates Accurate, fully linked statements and valuation outputs Template-specific formatting for usability and speed Leveragecomplete, pre-acquired historical datasets to focus exclusively on value-addedanalysis (no manual data gathering) Refresh andvalidate models with quarterly results, corporate actions, and guidance updates Conductvariance analysis and scenario modeling for earnings outcomes and key businessdrivers Create andrefine SOPs for all modeling and reporting workflows to ensure repeatabilityand accuracy Coordinatewith senior associates to ensure models and outputs align with coveragepriorities Support the development ofdashboards and tools to track KPIs and industry trends What were looking for- Bachelors or mastersdegree in engineering, finance, accounting, economics, or related fields 1+ years ofexperience in equity research and IB or as a buyside analyst ExpertlevelExcel (modeling, Power Query) and solid accounting awareness Familiarity with Bloomberg, FactSet, Cap IQ, or similar data terminals Ability towrite clear English and refine complex information into concise bullet points Workingknowledge of Python or VBA for data wrangling and automation will be a plus ExcelProficiency: The single largest determinant in the success of an applicants candidacyand eventually the job is the knowledge of functions (not exhaustive) Follow us on https://www.linkedin.com/compan y/evalueserve/ Click here to learn more about what our Leaders talking on achievements AI-powered supply chain optimization solution built on Google Cloud. How Evalueserve is now Leveraging NVIDIA NIM to enhance our AI and digital transformation solutions and to accelerate AI Capabilities . Know more about how Evalueserve has climbed 16 places on the 50 Best Firms for Data Scientists in 2024! Want to learn more about our culture and what its like to work with us? Write to us at: careers@evalueserve.com Disclaimer: The following job description serves as an informative reference for the tasks you may be required to perform. However, it does not constitute an integral component of your employment agreement and is subject to periodic modifications to align with evolving circumstances. Please Note: We appreciate the accuracy and authenticity of the information you provide, as it plays a key role in your candidacy. As part of the Background Verification Process, we verify your employment, education, and personal details. Please ensure all information is factual and submitted on time. For any assistance, your TA SPOC is available to support you.