1575 Predictive Modeling Jobs - Page 6

Job Summary: The ideal candidate will be responsible for leading and managing multiple audit engagements, ensuring compliance with regulatory standards, and mentoring junior staff. This is an excellent opportunity for a seasoned professional looking to take on a leadership role within a dynamic and growing organization. Key Responsibilities: Lead, plan, and execute audit engagements for clients in EBP, NFP, Yellow Book, Commercial and Single Audit sectors. Ensure compliance with GAAP, GAAS, GAGAS, ERISA, OMB Uniform Guidance, and other relevant auditing standards . Develop and maintain strong client relationships by providing high-quality service and strategic insights. Supervise, mentor, and train audit staff and senior associates to enhance their technical and professional skills. Review and finalize audit workpapers, reports, and financial statements to ensure accuracy and compliance. Identify and assess audit risks , develop audit strategies, and communicate findings and recommendations to clients. Coordinate with clients, regulators, and internal teams to facilitate audit processes and address issues proactively. Stay updated on industry trends, changes in regulations, and best practices to enhance audit efficiency and effectiveness. Assist in business development efforts , including proposal writing, client presentations, and networking to expand service offerings. Requirements 7+ years of audit experience , with a focus on at least two of the following: EBP, NFP, Yellow Book, Commercial and Single Audits. CA, CMA, Bachelors, or Masters degree in Accounting, Finance, or a related field. CPA certification required (or actively pursuing with significant progress). Extensive knowledge of US GAAP. Proven ability to lead and manage multiple audit engagements simultaneously. Strong analytical, problem-solving, and decision-making skills . Excellent verbal and written communication skills with the ability to present findings to clients and stakeholders. Proficiency in audit software, Microsoft Office Suite, and data analytics tools . Ability to mentor and develop junior audit professionals.

Overview Strategically design Test processes and lead development of Manufacturing Test solutions and applications involving electro mechanical Hardware and Software code development. Primary role is to design and develop solutions using latest tools and technologies to create most efficient and optimized manufacturing processes. This role requires innovative mindset to create new and different to influence and provide direction to leadership teams to adopt new manufacturing technologies positively impacting Zebra business. This position offers future advancements to the right candidate into leadership roles in Technical operations arm of Supply chain to lead, develop, automate, optimize and innovate Manufacturing Test strategies & solutions, for wide range of Zebra offered products and solutions. Responsibilities • Lead designing and architecting Test Strategies and solutions along with their execution with other team members. • Co-develop, strategize and lead projects in manufacturing space to create low cost, highly efficient and sustainable processes within Zebra adopted framework of Industrial standards. • Test software development along with hardware design of manufacturing test systems for calibration & functional testing of electronic devices and opto-mechanical electronic products. Such products include specialty printers, mobile computers, laser & imaging scanning products. • Document test solutions, drawings, schematics and specifications as per departmental practices. • Perform Measurement validation and acceptance criteria using Measurement System Analysis (MSA) tools to validate the designed test system (Cpk, GR&R). • Support product testing during the New Product Introduction (NPI) phase as well as sustaining support. • Lead in Benchmarking test solutions to latest technologies and trends in manufacturing environment with the goal to improve product quality, line efficiencies and throughput within LSS and I4.0 Framework • Makes changes to or upgrades existing systems. Enhances and improves existing technologies to apply to new solutions seeking new tools to analyze and solve problems. • Be able to echange ideas and articulate designs for test systems with peers and others in solution architectiure Qualifications • Minimum Education: o Bachelors Degree in Engineering(Electronics/Computer Sc./Physics) or Major in Physics • Minimum Work Experience (years): o 8 +Yrs. • Key Skills and Competencies: o Expert in (5+ yrs.) Python scripting, Labview, C++ o Minimum 2 yrs of experience in use of Data analytics tools and development – Power BI/Looker o Expert in Technical analysis with problem-solving capability associated with the manufacturing or functionality of electronic systems • Licenses/Certifications, special qualifications: o S/W development - training certifications • Equivalencies: o 5 yrs experience in S/w coding Position Specific Information: • Travel Requirements (as a % of time): 15-25% • Able to telework? Yes/no – if yes, % of time and expectations while teleworking: Yes. 30% - 40%Remote operation and provindig support.

As a Credit Risk Analyst at FISERV, your primary responsibility will be evaluating the creditworthiness of potential clients and assessing the overall risk associated with credit decisions. This crucial role involves analyzing financial data, monitoring credit trends, and developing risk assessment models to facilitate informed decision-making. The ideal candidate for this position will possess strong analytical skills, meticulous attention to detail, and a commitment to driving financial performance while upholding compliance with regulatory standards. Your key responsibilities will include analyzing financial statements, credit reports, and other pertinent data to evaluate the credit risk of potential clients. You will also be tasked with monitoring existing client accounts to proactively identify potential credit risks and trends. Additionally, you will be expected to prepare regular reports on credit risk exposure and present your findings to management. Collaboration with underwriting teams to provide insights and recommendations regarding credit decisions will be a crucial aspect of your role. Furthermore, you will work closely with compliance and legal teams to ensure adherence to regulatory requirements. In this role, you will also contribute to the development and validation of predictive models aimed at enhancing credit decision-making processes. Staying abreast of market trends, economic conditions, and regulatory changes that might influence credit risk will be essential. Your investigative duties will involve gathering data from diverse sources and systems, interpreting this data effectively to manage risks proficiently. The qualifications required for this position include strong analytical skills for interpreting complex financial data and a sound understanding of credit risk assessment frameworks and regulatory requirements. Additionally, excellent communication skills, both written and verbal, will be advantageous, enabling you to effectively present findings to stakeholders. Being detail-oriented, organized, and adept at managing multiple priorities will be beneficial for thriving in this role. Moreover, possessing an MBA in Finance or being a fresher CA would be desirable qualifications for potential candidates.,

In this role, you will be required to build and develop advanced analytics capabilities and assets/accelerators. You will be responsible for all aspects of end-to-end Workforce Management capability creation, including Operations (forecasting, capacity planning, staffing, scheduling, real-time monitoring, and operations management reporting and analysis), Software Configuration, as well as Insight generation. It will be your responsibility to build and update Standard Operating Procedures (SOPs) for Workforce Management with appropriate participation from multiple Operations and Analytics teams. You will need to develop a forecasting, capacity planning, and scheduling strategy and framework that will enable the company to meet service levels, revenue goals, and operating parameters. You will own the workforce management team as they balance schedule adjustments, exceptions, adherence, mentorship, feedback, and training schedules. Additionally, you will evaluate the accuracy of forecasts and schedules prepared by the WFM team and act as the primary point of contact for data engineers to manage data effectively. You are required to have a Bachelors or Masters degree in a quantitative discipline such as Commerce, Statistics, Actuarial Sciences, Mathematics, Quantitative Finance, or Economics. Strong analytical skills with a solid understanding of statistics and predictive modeling are essential. Excellent knowledge of Contact center Operations is a must, and proficiency in the use of Dialer, workforce management software, CMS reporting, call recording, and monitoring systems is required. Demonstrating knowledge of call center metrics and WFM policies and procedures is essential. Experience in predictive modeling techniques such as GLM, Linear Regression, Time Series, Segmentation/Cluster Analysis, Decision Trees, and Random Forests is a must. Advanced proficiency with Microsoft Excel, including VBA, is required, along with basic database skills including SQL and the ability to pull together disparate data sources. Knowledge of statistical tools like R, SAS, SPSS, etc., is preferred. Analytical skills to provide insights on data trends and patterns critical to the business are necessary. Project/Program Management knowledge, including working on Architecture/Design of BI/Analytics solutions, is beneficial. You should have the ability to establish priorities, handle multiple assignments concurrently with minimal direction in a fast-paced work environment, and work both independently and as part of a team. Being self-disciplined and results-oriented are key qualities for this role. Preferred qualifications/skills include working knowledge of data entry and extraction through Verint/Genesis/NICE, understanding of scheduling functionality and forecasting through Verint/Genesis/NICE, and knowledge of real-time analysis using Verint/Genesis/NICE.,

You will focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients at PwC. Your role will involve transforming raw data into actionable insights to enable informed decision-making and drive business growth. Additionally, you will work on developing predictive models, conducting statistical analysis, and creating data visualizations to solve complex business problems. Your responsibilities will include organizing and maintaining proprietary datasets, transforming data into insights and visualizations to drive strategic decisions for clients and the firm. You will collaborate closely with industry leaders and cross-functional teams to develop high-impact insights for thought leadership, external media engagement, demand generation, client pursuits, and delivery enablement. As a critical member of the data science team, you will analyze large, complex datasets to uncover insights related to Industrial Products. You will also support the identification of new datasets to differentiate the firm and assist in building predictive models and data-led tools. Moreover, you will design and conduct experiments to measure the effectiveness of new approaches and partner with teams to translate analytical findings into actionable recommendations and compelling stories. It is essential to develop dashboards and reports using tools like Tableau, Power BI, or Looker for self-service analytics and decision-making. Staying updated on industry trends, customer behavior patterns, and emerging technologies is crucial in this role. Preferred skills include managing data science and commercial analytics teams, proficiency in SQL, Alteryx, Python, and/or R for data manipulation and modeling, applying machine learning or statistical techniques to business problems, explaining complex data concepts to non-technical stakeholders, working with industry-specific datasets and vendors, knowledge of geospatial or time-series analysis, and experience with commercial analytics and insights.,

You will be joining our team in Nagpur as a Senior Data Analyst, where you will utilize your strong analytical skills and passion for data storytelling to deliver impactful insights to our clients. Your role will involve leading data projects, mentoring junior analysts, and collaborating closely with clients to understand their needs and provide tailored solutions. Your key responsibilities will include designing, executing, and delivering analytics projects, conducting in-depth analyses to identify trends and patterns, developing dashboards and reports for decision-making, and translating business questions into analytical solutions. You will also ensure data quality and compliance, mentor junior analysts, and work with cross-functional teams to integrate analytics into business workflows. To qualify for this position, you should have a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Information Systems, or a related field, along with at least 4 years of professional experience in data analytics, preferably in consulting or business intelligence. Proficiency in SQL and a programming language like Python or R is required, as well as experience with data visualization tools such as Power BI, Tableau, or Looker. A solid understanding of statistical analysis, hypothesis testing, and predictive modeling is essential, along with excellent communication and presentation skills. Preferred qualifications include experience in sports analytics or business analytics for enterprises, knowledge of cloud-based data platforms like Snowflake, BigQuery, or AWS Redshift, and familiarity with ETL processes and data pipeline development. In return, we offer a competitive salary, diverse project opportunities, a collaborative work culture, and professional growth and learning prospects. If you meet the requirements and are interested in this position, please send your resume and a brief cover letter to shreyas@gibbous.io with the subject line: Application Senior Data Analyst (Nagpur). This is a full-time position based in Nagpur, Maharashtra, and requires in-person work.,

As a Decision Analyst at Barclays, you will play a crucial role in driving innovation and excellence in the digital landscape. Your primary responsibility will be to leverage cutting-edge technology to revolutionize digital offerings, ensuring unparalleled customer experiences. The BUK Decision and Analytics team is dedicated to harnessing the power of data through advanced analytics and data science to drive the performance of the bank. This involves enabling smarter, faster, and more proactive decision-making processes while utilizing information to transform the lives of customers, colleagues, and communities. In this role, you will have the opportunity to work closely with business heads, influencing decision-making through advanced analytics and data science to solve complex business problems. Your success as a Decision Analyst will be dependent on your experience in data mining, building predictive and machine learning models, and understanding machine learning algorithms and their applications. Proficiency in the data science project lifecycle, including use case framing, data exploration, model building, and deployment, along with knowledge of Python and SQL, are essential skills required for this position. Furthermore, possessing strong communication and storytelling skills, as well as problem-solving capabilities, will be highly valued in this role. You will be assessed on essential skills relevant to succeeding in the position, such as risk and controls, change and transformation, business acumen, strategic thinking, and digital and technology expertise. The primary purpose of this role is to design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making. Your key accountabilities will include designing analytics and modeling solutions for complex business problems, collaborating with technology to specify dependencies, developing high-performing solutions, and providing ongoing support to ensure the effectiveness of analytics and models. As an Analyst, you will be expected to perform activities in a timely manner and to a high standard, driving continuous improvement. Depending on the position, you may lead and supervise a team, guide professional development, allocate work requirements, and coordinate team resources. Individuals are also expected to demonstrate a clear set of leadership behaviors or develop technical expertise in their area of expertise. All colleagues are expected to uphold the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, as well as demonstrate the Barclays Mindset of Empower, Challenge, and Drive in their daily interactions and work responsibilities.,

You will be responsible for managing end-to-end delivery of data science projects, developing and validating predictive models using analytical tools, and collaborating with various teams to deploy analytical solutions. In addition, you will support internal teams in developing in-house products/analytical solutions and build models for descriptive and predictive analytics, including natural language understanding, conversational AI, forecasting, and automation. Your expertise will be crucial in data wrangling, exploratory data analysis, and feature engineering with large data sets. You will also play a key role in supporting the development of proofs of concept to demonstrate the application of analytical capabilities in solving customer problems, aligning the technology solution with business goals. To qualify for this role, you should have a Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or other quantitative fields. Familiarity with Agile methodologies and software development project management is required. Excellent written and verbal communication skills are essential, along with the ability to present complex technical information to non-technical audiences. Demonstrated flexibility, creativity, and patience in adapting to new situations and changing needs are also important qualities. Your skills should include proven ability in translating analytics output into actionable recommendations for key stakeholders, as well as experience in extracting and aggregating data from large datasets. Proficiency in statistical software such as Python, R, SQL, PySpark, or others is necessary. Competence in Excel, PowerPoint, and BI tools like Tableau, PowerBI, etc., is also expected. You will be responsible for assessing the effectiveness and accuracy of new data sources and data gathering techniques, developing custom data models and algorithms, and using predictive modeling to optimize customer experiences, revenue generation, data insights, and other business outcomes. Monitoring and analyzing model performance and data accuracy, partnering with key stakeholders/clients, extracting and understanding data to provide relevant insights, and developing visualizations for a broad audience are among your key responsibilities. Your role will also involve leadership and stakeholder management, requiring a high attention to detail and quality, as well as adaptability to work within a complex environment.,

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. We are counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself, and a better working world for all. As a Manager - Data Scientist with 9-12 years of preferred experience, you should hold a Bachelors or Advanced degree (Masters or Ph.D.) in Mathematics, Computer Science, Engineering, or a related field with a strong foundation in data science and machine learning. Your responsibilities will include leading and executing end-to-end data science projects, collaborating with business stakeholders, implementing data engineering for ML projects, and analyzing complex data sets to uncover trends and insights. Preferred qualifications for this role include: - 9+ years of hands-on Data Science experience with a proven record of independently deploying complex projects to production - Expertise in predictive modeling, deep learning, advanced analytics, and the mathematical and statistical foundations of machine learning - Exceptional Python coding skills and proficiency in SQL and relational databases (e.g., MySQL, PostgreSQL) - Extensive experience in Big Data technologies, cloud platforms, and developing custom algorithmic solutions beyond off-the-shelf models - Understanding of AI ethics, governance, risk management, and compliance (GRC) standards - Strong leadership and communication skills, with the ability to engage with stakeholders at all levels and manage cross-functional relationships - Willingness to travel to the MENA region based on business needs Your role will involve formulating and executing the organization's AI strategy, developing AI governance frameworks, leading collaboration efforts with other team members and departments, and mentoring junior members of the team. EY exists to build a better working world, helping to create long-term value for clients, people, and society and build trust in the capital markets. Join us in our mission to ask better questions and find new answers for the complex issues facing our world today.,

As a candidate from the field of Computer Science, Statistics, Mathematics, or related disciplines, your primary responsibility will be to build predictive models and machine learning algorithms using time series data. You will leverage your expertise in these areas to develop advanced algorithms that can analyze patterns, trends, and relationships within the data. Your work will play a crucial role in enhancing predictive capabilities and driving decision-making processes within the organization. Additionally, you will collaborate with cross-functional teams to ensure the successful implementation and deployment of these models. Your contributions will directly impact the organization's ability to make data-driven decisions and stay ahead in a competitive market.,

At PwC, we focus on leveraging advanced technologies and techniques to design and develop robust data solutions for our clients. You will play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. As part of the data science and machine learning engineering team, you will extract insights from large datasets and drive data-driven decision making. Your responsibilities will include developing predictive models, conducting statistical analysis, and creating data visualizations to solve complex business problems. Your role will involve organizing and maintaining proprietary datasets, transforming data into insights and visualizations that drive strategic decisions for our clients and the firm. You will collaborate closely with industry leaders and cross-functional teams to develop high-impact insights for thought leadership, media engagement, client pursuits, and delivery enablement. Preferred Knowledge And Skills: - Manage efforts with identifying and addressing client needs, maintaining and analyzing large, complex datasets to uncover insights. - Identify new, cutting-edge datasets to differentiate the firm amongst competitors and clients. - Build predictive models, design and conduct experiments, and translate analytical findings into actionable recommendations. - Develop dashboards and reports using tools like Tableau, Power BI, or Looker to support self-service analytics. - Stay updated on industry trends, customer behavior patterns, and emerging technologies. - Experience managing high-performing data science and commercial analytics teams. - Proficiency in SQL, Alteryx, Python, and/or R for data manipulation and modeling. - Apply machine learning and statistical techniques to real-world business problems. - Explain complex data concepts to non-technical stakeholders. - Work with industry-specific datasets and vendors, and knowledge of geospatial or time-series analysis. - Prior experience with commercial analytics and insights.,

Netradyne harnesses the power of Computer Vision and Edge Computing to revolutionize the modern-day transportation ecosystem. As a leader in fleet safety solutions, we are experiencing rapid growth, exceeding 4x year over year. Our innovative solution is being recognized as a disruptive technology, and to continue facilitating our growth, we are looking for forward-thinking and competitive team members. We are currently seeking a skilled Data Analyst with proficiency in Tableau, PowerPoint, and data visualization. Candidates with experience in transportation, logistics, supply chain, or related industries will have an advantage. The ideal candidate should possess a strong background in refining, scaling, and automating business case and ROI modeling processes. This role plays a critical part in supporting data-driven decision-making by analyzing and presenting insights that steer business strategies. Key Responsibilities: - Develop, refine, and automate business case and ROI models to enhance efficiency and accuracy. - Create, maintain, and optimize Tableau dashboards for reporting and data visualization purposes. - Analyze transportation data to identify trends, performance metrics, and opportunities for process enhancement. - Collaborate with cross-functional teams to gather requirements and align analysis with business objectives. - Prepare impactful presentations using PowerPoint to communicate findings, trends, and actionable insights to stakeholders. - Identify data discrepancies, implement quality control measures, and suggest system or process improvements. - Support strategic initiatives by providing detailed data analysis and forecasting models. - Continuously assess and scale analytics solutions to meet changing business requirements. - Stay abreast of best practices in data analytics, visualization, and transportation operations. Qualifications: - Education: Bachelor's degree in Data Science, Business Analytics, Computer Science, Transportation Management, or a related field. - Experience: Minimum of 3 years in a data analyst or related role with demonstrated expertise in Tableau and PowerPoint. - Technical Skills: Proficiency in Excel (including VBA and macros), data modeling tools (SQL, etc.), strong knowledge of Tableau, and familiarity with automation tools and frameworks. - Soft Skills: Excellent analytical and problem-solving abilities, strong written and verbal communication skills, ability to manage multiple projects, attention to detail, and a commitment to data accuracy and quality. Preferred Qualifications: - Experience in cost analysis, logistics, or supply chain optimization. - Knowledge of advanced statistical methods and predictive modeling. - Familiarity with transportation planning or fleet management software.,

As a Data Scientist at the Global Design Technology Studio within Gensler, you will play a crucial role in driving innovative solutions that connect data and outcomes from designs to practitioners, projects, and clients. You will be part of a dynamic team that fosters creativity and collaboration to identify trends, insights, and opportunities for improvement through the analysis, synthesis, and assessment of large datasets. Your responsibilities will include collaborating with the Data team to develop, train, and deploy ML classification algorithms using data from design authoring tools, exploring trends and defining insights aligned with business needs, developing data pipelines in MS Azure, researching and implementing the integration of additional datasets, and supporting the R&D of future Strategic Insights initiatives. To excel in this role, you are required to have a Bachelor's or Masters degree in Data Science, Statistics, Applied Math, or Computer Science, along with practical experience in statistical analysis, machine learning, and predictive modeling. Proficiency in Azure services like Azure Machine Learning, Azure Databricks, and Azure Data Factory, as well as programming languages such as SQL, Python, and R, is essential. Experience with data visualization tools like PowerBI, machine learning technologies, and generative AI models is highly beneficial. Gensler is a people-first organization that values work-life balance and professional development. As part of the team, you will have access to comprehensive benefits, wellness programs, and opportunities for growth and development. Join us in transforming the digital landscape of design technology and making a real impact with your skills and expertise.,

As a Data Scientist, you will be responsible for managing end-to-end delivery of data science projects. You will develop and validate predictive models using analytical tools and collaborate with the BD team, product managers, data engineers, and other teams to deploy analytical solutions. Supporting internal teams in developing in-house products and analytical solutions will also be a key part of your role. You will work on building models for descriptive and predictive analytics, exploring various areas such as natural language understanding, conversational AI, forecasting, and automation. Additionally, you will provide expertise in data wrangling, exploratory data analysis, and feature engineering with large data sets, as well as support the development of proofs of concept to demonstrate the application of analytical capabilities in solving customer problems in collaboration with product and other development teams. Aligning the technology solution with business goals is also a crucial aspect of this role. To qualify for this position, you should hold a Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or other quantitative fields. Familiarity with Agile methodologies and software development project management is required. Excellent written and verbal communication skills are essential, with experience in presenting complex technical information to non-technical audiences. Demonstrated flexibility, creativity, and patience in adapting to new situations and changing needs are also valued qualities. In terms of skills, you should have proven abilities in translating analytics output into actionable recommendations and delivering them to key stakeholders. Experience in extracting and aggregating data from large datasets, understanding and analyzing data using statistical software (e.g., Python, R, SQL, PySpark, etc.), and proficiency in Excel, PowerPoint, and BI tools such as Tableau and PowerBI are necessary. You will be expected to assess the effectiveness and accuracy of new data sources and data gathering techniques, develop custom data models and algorithms, and use predictive modeling to optimize customer experiences, revenue generation, data insights, and other business outcomes. Creating processes and tools to monitor and analyze model performance and data accuracy, partnering with key stakeholders/clients to understand problem statements, convincing them with data, and deriving relevant insights are also key responsibilities. Developing visualizations to make complex analyses accessible to a broad audience, demonstrating leadership and stakeholder management skills, maintaining high attention to detail and quality, and being highly adaptive and comfortable working within a complex environment are additional attributes that will contribute to your success in this role.,

Intelligence Node is a real-time retail intelligence platform that enables businesses to enhance product-level profitability and boost margins by leveraging data-driven competitive insights. The cutting-edge technology of Intelligence Node employs AI to analyze billions of data points across 1,900 retail categories in 34 global markets. The business model of Intelligence Node offers a comprehensive suite of solutions, including product matching, digital shelf analytics, assortment & availability, pricing & promotions, and brand compliance. These solutions aid retailers and brands in making strategic and operational decisions. With a patented product matching engine and proprietary AI, Intelligence Node ensures 99% data accuracy and 10-second data refresh rates. Following its acquisition by Interpublic Group (IPG) in December 2024, Intelligence Node collaborates with IPG to provide a future-ready combined solution to companies navigating the complexities of the current commerce landscape. Together with IPG, Intelligence Node delivers comprehensive data, advanced analytics, and strategic expertise to help enterprise brands and retailers secure market share and drive sustainable growth. **Junior Data Scientist** As a Junior Data Scientist at Intelligence Node, you will collaborate closely with senior data scientists and business stakeholders to discover data-driven insights and opportunities in the retail sector. Your responsibilities will involve analyzing retail data sets using statistical techniques and machine learning algorithms, developing predictive models to support business decisions, and implementing data pipelines for processing and preparation. Additionally, you will support the creation of reports and dashboards to visualize and communicate data insights. Staying updated with the latest developments in data science and retail analytics is a key aspect of this role. **Required Skill Set** - Minimum of 2-3 years of experience in Data Science - Proficiency in Python and data science libraries such as NumPy, Pandas, and Scikit-learn - Strong understanding of statistical techniques and their applications in the retail sector **Senior Data Scientist** In the role of Senior Data Scientist at Intelligence Node, you will lead a team of data scientists and work closely with key business stakeholders to develop advanced machine learning models and neural networks for solving complex problems in the retail and e-commerce domains. Your responsibilities will include experimenting with Large Language Models (LLMs), designing scalable data pipelines, mentoring junior data scientists, and deploying predictive models into production. **Required Skill Set** - 7-10 years of experience in Data Science - Proficiency in Python or C++ - Deep understanding of BERT, transformers, and advanced machine learning architectures - Expertise in computer vision techniques and applications such as visual transformers and OCR - Curiosity to explore LLMs and their applications - Extensive retail and e-commerce experience preferred - PhD in a related field preferred Interested candidates are encouraged to share their updated CVs at a.vernekar@intelligencenode.com along with their current remuneration details. Candidates from Mumbai are preferred for this role.,

As a Senior Data Analyst at Gibbous Technologies, a data analytics consulting firm specializing in sports business analytics and advanced business intelligence solutions, you will be responsible for leading analytics projects, mentoring junior analysts, and collaborating closely with clients to deliver tailored solutions. Your role will involve designing, executing, and delivering analytics projects from data collection to visualization, conducting deep-dive analyses to identify trends and actionable insights, and developing dashboards, reports, and data models to support decision-making. You will work with stakeholders to translate business questions into analytical problems and solutions, ensure data quality, integrity, and compliance with best practices, and collaborate with cross-functional teams to integrate analytics into business workflows. Additionally, you will mentor and guide junior analysts in technical skills and analytical approaches, leveraging your strong analytical expertise, passion for data storytelling, and experience with diverse datasets to deliver impactful insights for clients. The ideal candidate for this role will have a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Information Systems, or a related field, along with 4+ years of professional experience in data analytics, preferably in consulting or business intelligence roles. Proficiency in SQL and at least one analytics-oriented programming language (Python/R), experience with data visualization tools (e.g., Power BI, Tableau, Looker), and a solid understanding of statistical analysis, hypothesis testing, and predictive modeling are required. Excellent communication and presentation skills, the ability to simplify complex findings, and proven leadership in analytics initiatives are also essential. Preferred qualifications for this role include experience in sports analytics or business analytics for enterprises, knowledge of cloud-based data platforms (Snowflake, BigQuery, AWS Redshift, etc.), and familiarity with ETL processes and data pipeline development. In return, Gibbous Technologies offers a competitive salary based on experience and expertise, the opportunity to work on diverse and impactful projects, a collaborative and innovation-driven work culture, and professional growth and learning opportunities. To apply for the Senior Data Analyst position in Nagpur at Gibbous Technologies, please send your resume and a brief cover letter to shreyas@gibbous.io with the subject line: Application Senior Data Analyst (Nagpur). Join our team and be part of a dynamic environment where you can make a significant impact through data analytics and business intelligence.,

We are looking for a skilled and enthusiastic Artificial Intelligence / Machine Learning Engineer with at least 2 years of experience to become a part of our vibrant team. The perfect candidate will possess a solid foundation in machine learning algorithms, data analysis, and software development. You will be involved in cutting-edge projects that utilize AI and ML to create business solutions and enhance our product offerings. Responsibilities: - Design, create, and deploy machine learning models and algorithms to address intricate challenges. - Analyze and preprocess extensive datasets to extract valuable insights and enhance model efficacy. - Collaborate with diverse teams to identify possibilities for AI/ML applications in different business domains. - Assess and refine existing models by integrating new data and methodologies. - Keep abreast of the latest advancements in AI and machine learning technologies and techniques. - Document procedures, generate technical specifications, and present discoveries to stakeholders. - Support in guiding junior team members and contribute to a cooperative team atmosphere. Qualifications: - Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, or a relevant field. - 2+ years of experience in machine learning, data analysis, or a related area. - Proficiency in programming languages like Python, R, or Java. - Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). - Sound understanding of statistical analysis, data mining, and predictive modeling approaches. - Knowledge of data visualization tools (e.g., Matplotlib, Seaborn, Tableau). - Awareness of databases and data processing technologies (e.g., SQL, Hadoop, Spark) is a bonus. - Excellent problem-solving abilities and capability to work both independently and in a team. - Effective communication skills to convey technical ideas to non-technical stakeholders. Preferred Qualifications: - Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) for deploying ML models. - Understanding of natural language processing (NLP) or computer vision techniques. - Knowledge of software development practices, including version control and agile methodologies.,

Citi's mission is to serve as a trusted partner to clients by responsibly providing financial services that enable growth and economic progress. With over 200 years of experience, Citi helps clients meet challenges and seize opportunities. Analytics and Information Management (AIM) at Citi was established in 2003 and is located in multiple cities in India including Bengaluru, Chennai, Pune, and Mumbai. The AIM community connects and analyzes information to create actionable intelligence for business leaders, identifying revenue growth opportunities in partnership with businesses through analytic methodologies. The North America Consumer Bank Data Science and Modeling team uses big data tools and machine learning techniques to analyze millions of prospects and billions of customer transactions. The team extracts insights, identifies opportunities, builds predictive models, and designs strategies for various business problems. The Business Analytics Analyst 1 role within the Model governance area of the North America Consumer Bank team is responsible for ensuring comprehensive and regulatory-compliant documentation of financial models used in the bank. The Next Gen Analytics (NGA) team, a part of the AIM unit, focuses on detailed model governance work. The role requires attention to detail, effective collaboration with various stakeholders, a statistical mindset, strong communication skills, a sense of ownership for project delivery, and continuous process enhancement for efficiency and consistency. The Business Analytics Analyst 1 is responsible for creating, updating, and maintaining detailed documentation related to model monitoring and review processes, ensuring compliance with Citi standards and providing guidance on governance best practices. The role involves overseeing model inventory, working with large and complex data sets using tools like Python, PySpark, SQL, SAS, and R, collaborating with other teams within the organization, and ensuring quality control over deliverables. Candidates should have a Bachelor's or Master's degree in a relevant field, 1-3 years of experience in data analytics, technical skills in programming and data analysis, familiarity with model risk management and fair lending laws, and the ability to handle multiple projects simultaneously. Key requirements include hands-on experience in data analytics tools, understanding of model risk regulations, proficiency in statistical analysis and modeling techniques, capability to maintain models in production, strong communication and project management skills, and a detail-oriented and self-motivated approach. Experience in Credit Cards and Retail Banking is preferred. A Bachelor's or Master's degree in Economics, Statistics, Mathematics, Information Technology, Computer Applications, or Engineering from a reputable institute is required. The role is full-time in the Credit Cards, Retail Banking, Financial Services, Banking industry.,

We are looking for a highly skilled Technical Data Analyst to join our growing team. As a Technical Data Analyst, you will need to have a strong technical foundation in Oracle PL/SQL and Python, along with expertise in data analysis tools and techniques. The ideal candidate should be a strategic thinker with the ability to lead and mentor a team of data analysts, driving data-driven insights and contributing to key business decisions. You will also be responsible for researching and evaluating emerging AI tools and techniques for potential application in data analysis projects. Your responsibilities will include designing, developing, and maintaining complex Oracle PL/SQL queries and procedures for data extraction, transformation, and loading (ETL) processes. You will use Python scripting for data analysis, automation, and reporting. Performing in-depth data analysis to identify trends, patterns, and anomalies to provide actionable insights for improving business performance will also be part of your role. Collaboration with cross-functional teams to understand business requirements and translating them into technical specifications is crucial. You will develop and maintain data quality standards and ensure data integrity across various systems. Additionally, you will leverage data analysis and visualization tools such as Tableau, Power BI, and Qlik Sense to create interactive dashboards and reports for business stakeholders. Staying up-to-date with the latest data analysis tools, techniques, and industry best practices, including AI/ML advancements, will be essential. Researching and evaluating emerging AI/ML tools and techniques for potential application in data analysis projects will also be part of your responsibilities. Preferred qualifications for this role include hands-on work experience as a Technical Data Analyst with expertise in Oracle PL/SQL and Python programming, proficiency in Python scripting for data analysis and automation, expertise in data visualization tools such as Tableau, Power BI, or Qlik Sense, awareness and understanding of AI/ML tools and techniques in data analytics, and practical experience applying AI/ML techniques in data analysis projects. Strong analytical, problem-solving, communication, and interpersonal skills are required, along with experience in the financial services industry. Qualifications for this position include 0-2 years of relevant experience, experience in programming/debugging used in business applications, working knowledge of industry practice and standards, comprehensive knowledge of a specific business area for application development, working knowledge of program languages, and consistently demonstrating clear and concise written and verbal communication. Education requirement for this position is a Bachelor's degree/University degree or equivalent experience. Please note that this job description provides a high-level review of the types of work performed, and other job-related duties may be assigned as required.,

The Legal Analytics lead (Vice President) at AIM, based in Gurugram, reports to the Legal Analytics head (Senior Vice President) and is responsible for leading a team of statisticians and Data Science experts. The primary responsibilities include Model Development, Validation, Governance, and Documentation, ensuring quality, reliability, and usability of work products. It involves evaluating and refining statistical methods and procedures for data validity, applicability, efficiency, and accuracy. Ensuring proper documentation of all project work and responding to Internal Audit, Compliance Testing, and Regulators questions are critical aspects of the role. The Specialized Analytics Sr. Mgr manages professional teams and departments, integrating subject matter and industry expertise. The role requires in-depth understanding of how areas collectively integrate within the sub-function, contributing to standards and objectives of the entire function. Communication and diplomacy skills are essential to guide, influence, and convince others. Responsibilities include volume, quality, timeliness, and delivery of end results, along with planning, budgeting, and policy formulation within the area of expertise. Full management responsibility of a team involves performance evaluation, compensation, hiring, and budget approval. Responsibilities of the role include supporting model validation process for Model Risk Management, developing and implementing automated solutions for managing increasing model volumes, overseeing predictive model and machine learning algorithm development, and documenting data requirements and data analysis. The role also involves interfacing between business and technology partners, offering technical guidance, communicating findings to senior management, and ensuring compliance with data governance policies and regulatory requirements. The ideal candidate should have 10-15 years of experience in Data Science roles with a strong understanding of statistical modeling, machine learning, and data mining techniques. The ability to translate complex data into actionable insights, interact with senior stakeholders, manage end-to-end implementation of data science solutions, and lead a team effectively are crucial. In-depth knowledge of financial service business models, proficiency in advanced statistical techniques, creative problem-solving skills, and excellent communication skills are essential for this role. Education requirements include a Bachelors or Masters degree in STEM, with a preference for a Masters degree. The role falls under the Decision Management job family group, specifically within the Specialized Analytics (Data Science/Computational Statistics) job family. This is a full-time position at Citigroup. If you are a person with a disability and require reasonable accommodation to apply for a career opportunity, review Accessibility at Citi. You can also view Citigroup's EEO Policy Statement and the Know Your Rights poster.,

You are a highly motivated and enthusiastic Senior Data Scientist with over 8 years of experience, seeking to join a dynamic team that values AI/ML analytics expertise. Your strong background in leveraging data for driving business insights and innovation will be key to your success in this role. Your responsibilities will include developing and implementing machine learning models and algorithms, collaborating closely with project stakeholders to understand requirements and translate them into deliverables. You will utilize statistical and machine learning techniques to analyze and interpret complex data sets, while staying updated with the latest advancements in AI/ML technologies and methodologies. Collaboration with cross-functional teams to support various AI/ML initiatives will also be a crucial aspect of your role. You should hold a Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. A strong understanding of machine learning, deep learning, and Generative AI concepts is required for this position. Preferred skills for this role include experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, Computer vision (YOLO), Deep Learning stack, NLP using Python. Additionally, you should have strong knowledge and experience in Generative AI/LLM based development and working with key LLM models APIs and frameworks. Experience with cloud infrastructure for AI/Generative AI/ML on AWS, Azure is preferred. Expertise in building secure data ingestion pipelines for unstructured data, effective text chunking techniques, and working with text embeddings is crucial for this role. Proficiency in Python, TypeScript, NodeJS, ReactJS and their frameworks, as well as experience with data visualization tools and deep learning frameworks, is required. Knowledge of version control systems and good to have skills in building knowledge graphs and multi-agent systems will be beneficial for this position. Pentair is an Equal Opportunity Employer that values diversity and believes in the importance of a diverse workforce for continued success. Your cross-cultural insight and competence will be essential for contributing different perspectives and creative ideas to drive continuous improvement within the organization.,

As a Manager within the Data Science function at MX, you will lead a team of advanced analytics professionals to leverage a world-class financial data asset for performing in-depth consumer-level analytics, leading big data research projects, enhancing overall system accuracy, designing and executing operational tests, and automating repetitive tasks. Your role will involve overseeing the design and execution of operational tests, providing recommendations based on careful analysis and business acumen, and demonstrating superior problem-solving skills. You will be responsible for building, developing, and managing a high-performing team of 3-8 data scientists and analysts. Your focus will be on coaching and mentorship to enhance analytical best practices, data visualization, storytelling, and personal career development. Leading modelling projects, operational tests, data mining, and exploratory work will also be part of your duties. Additionally, you will translate unstructured business problems into well-defined analytic projects and provide analytic leadership within the MX community. To qualify for this role, you should hold a Master's degree (Ph.D. preferred) in a quantitative discipline with significant coursework in statistics or econometrics. Previous experience in building predictive models and managing analytic teams is preferred. Strong knowledge of structured programming languages, database query languages, statistical modeling, and machine learning approaches is required. Critical thinking skills, intellectual curiosity, and a drive to tackle demanding goals are essential qualities for this position. This role will require you to work in the office for a standard 40-hour workweek to facilitate collaboration, communication, quick decision-making, and spontaneous collaboration among team members. The compensation for this role will include a base salary and other forms of cash compensation. Please note that applicants applying for this position must have the legal right to work in India without the need for sponsorship. Proof of eligibility to work in India will be required as part of the hiring process.,

The role of AI Architect is open for PAN India and welcomes applicants who are interested in revolutionizing HR operations within a fast-paced IT services environment. As an AI Architect, you will play a pivotal role in designing and implementing AI-driven solutions that enhance various HR capabilities. Your expertise will be crucial in integrating AI tools into enterprise platforms, developing predictive models, implementing automation solutions, and ensuring compliance with data privacy regulations. Additionally, you will be responsible for evaluating emerging AI technologies, driving scalability and optimization of AI models, and contributing to the continuous improvement of HR operations. As an AI Architect, your key responsibilities will include: - Architecting intelligent systems to improve HR functions such as talent acquisition, workforce planning, employee engagement, and learning & development. - Collaborating with HR, IT, and data teams to integrate AI tools into enterprise platforms like Workday, SAP SuccessFactors, Oracle HCM, and ServiceNow. - Leading the development of predictive models for attrition prediction, talent matching, career pathing, and performance forecasting. - Implementing intelligent automation solutions such as resume parsing, chatbot-based onboarding, and personalized employee experiences. - Ensuring AI solutions comply with global data privacy and ethical standards, focusing on responsible AI practices. - Evaluating emerging AI technologies and recommending adoption strategies for HR transformation. - Driving scalability and optimization of AI models in multi-client, service-based HR environments. The ideal candidate for this role should possess: - A Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field. - 11+ years of experience in AI/ML systems development or architecture, with exposure to enterprise transformation initiatives. - Strong understanding of HR operations and challenges in global workforce management. - Hands-on experience with cloud platforms (AWS, Azure, GCP) and AI/ML frameworks. - Familiarity with HR systems and APIs, such as Workday, SAP, Oracle, and ServiceNow. Preferred qualifications for this role include: - Experience with AI applications in recruitment, learning, performance management, or employee experience. - Knowledge of ethical AI practices, bias mitigation, and responsible data usage in workforce analytics. - Certifications in AI/ML or HR analytics, such as Microsoft AI Engineer, SHRM-CP, or PHR. Join us as an AI Architect to drive innovation at the intersection of AI and HR transformation, lead digital HR initiatives, and be a part of a collaborative culture with access to cutting-edge technologies and thought leadership.,

As a Senior Data Scientist at EY, you will have the opportunity to shape your future with confidence by being part of a globally connected powerhouse of diverse teams. Your role will involve leveraging your expertise to take your career wherever you aspire it to go and contribute towards building a better working world. To qualify for this role, you should possess a Bachelor's or Master's degree in Mathematics, Computer Science, Engineering, or related disciplines, along with 4+ years of hands-on Data Science experience. Your proven track record of successfully deploying projects to production, coupled with excellent problem-solving and data analysis skills, predictive modeling expertise, statistical knowledge, and proficiency in machine learning algorithms will be essential. You must demonstrate strong coding skills in Python and flexibility in other languages like R. Experience in creating impactful visualizations using tools such as Plotly, Power BI, and Tableau, as well as familiarity with SQL and relational databases, will be advantageous. Knowledge of Generative AI techniques and frameworks like Ollama models, LangGraph, and LangChain will be a plus. As a Senior Data Scientist, you will be responsible for working independently or collaboratively to deliver end-to-end data science projects within specified timelines and budgets. Your role will involve analyzing complex data sets, identifying trends and insights, and presenting findings to stakeholders using data visualization tools. You will also need to select appropriate machine learning algorithms to solve business problems, design experiments, and manage data for ML projects. Collaboration with team members, adherence to industry best practices, staying updated with the latest machine learning research, and mentoring junior team members will be integral parts of your responsibilities. Additionally, you should be willing to travel to the MENA region based on business requirements. Join EY and be part of a team that is dedicated to building a better working world, creating new value for clients, people, society, and the planet. By harnessing the power of data, AI, and advanced technology, EY teams help clients shape the future with confidence and address the most critical challenges of today and tomorrow. With a focus on assurance, consulting, tax, strategy, and transactions, EY offers services globally, supported by sector insights, a diverse network, and ecosystem partners across 150+ countries and territories.,

The Artificial Intelligence and Machine Learning (AIML) group at Fractal Analytics is actively involved in helping Fortune 500 companies leverage their data using advanced AI/ML algorithms. We are currently seeking Data Scientists with a passion for independent statistical and machine learning research projects. If you are a problem solver with a curiosity for exploring new technologies in the AIML space, we would like to have a conversation with you. As a Data Scientist at Fractal Analytics, you will have the opportunity to work on a wide range of analytics and predictive modeling projects using Python, R, SQL, and Machine Learning techniques. The ideal candidate will have 5-11 years of experience in this field along with strong project management skills. Key Responsibilities: - Solve business problems by proposing creative solutions using statistical and advanced analytics methodologies - Lead client engagements independently, ensuring effective stakeholder management and project execution - Build deep client relationships and act as a thought partner, anticipating and delivering solutions to business problems - Support sales activities and contribute to account growth by identifying opportunities - Contribute to firm growth through training sessions and coaching team members - Coach and groom the team on analytics techniques, problem-solving, project management, and client relationship management The ideal candidate will have: - Minimum 7.6 to 10 years of overall experience with 4 to 8 years of hands-on experience in analytics projects - Expertise in statistical/ML predictive techniques such as regression - Strong project management, stakeholder management, and crisis handling skills - Team handling experience with a focus on problem-solving and creative thinking - Proficiency in Python, R, SQL, and advanced analytics/statistics techniques - Knowledge of data conversion strategy, data quality, and database management Education: - B.E/B.Tech/M.Tech in Computer Science or related technical degree OR Equivalent If you are passionate about AI/ML, enjoy working with a team of over-achievers, and are looking for a challenging and rewarding career opportunity, we invite you to explore a career with us. Click "Introduce Yourself" or create an account to stay updated on future job postings.,