387 Statistical Modeling Jobs - Page 10

The Apex Group was established in Bermuda in 2003 and is now one of the worlds largest fund administration and middle office solutions providers. Our business is unique in its ability to reach globally, service locally and provide cross-jurisdictional services. With our clients at the heart of everything we do, our hard-working team has successfully delivered on an unprecedented growth and transformation journey, and we are now represented by over circa 13,000 employees across 112 offices worldwide.Your career with us should reflect your energy and passion. Thats why, at Apex Group, we will do more than simply empower you. We will work to supercharge your unique skills and experience. Take the lead and well give you the support you need to be at the top of your game. And we offer you the freedom to be a positive disrupter and turn big ideas into bold, industry-changing realities. For our business, for clients, and for you Key roles and responsibilities Conduct comprehensive analyses, including Carbon Emissions Tracking, Carbon Footprint Assessments, Environmental Impact Analyses, Life Cycle Assessments (LCAs), Emissions Reduction Strategies, Climate Policy Development, Advocacy, Climate Modeling, Scenario Planning, and target setting aligned with Science-Based Targets (SBTi). Develop and execute data-driven strategies to assist investment managers and portfolio companies in reducing carbon emissions and setting targets. Lead initiatives to improve the sustainability performance of the Apex Group and promote responsible business practices across the organization. Contribute to the enhancement of existing ESG products and the development of innovative new offerings. Stay informed on global ESG standards and frameworks, ensuring the firms services meet current and emerging market expectations. Skills and qualifications required A masters degree in environmental engineering, sustainability, or a related field is required. Additional certifications in climate risk or ISO standards are highly desirable. Extensive experience in climate change, environmental issues, and sustainability, particularly within reputable consulting or advisory firms, financial services, or research organizations. Hands-on experience in carbon footprint analysis, GHG assessment, and climate risk advisory, with strong technical expertise in climate change, SBTi, LCA, ISO 14044/14064, decarbonization strategies, and climate risk modeling. A deep understanding of sustainability challenges across various industry sectors. Proficiency in ESG frameworks, such as SASB, GRI, TCFD, UN PRI, CSRD/NFRD, and SFDR. Strong skills in quantitative and qualitative data collection, analysis, and reporting. Excellent communication and interpersonal skills, with the ability to influence both internal and external stakeholders effectively. High proficiency in video conferencing, written communication, and presentation skills. Exceptional organizational skills and a keen attention to detail. Proficiency in MS Office is essential. Knowledge of programming languages is an added advantage. For Senior Associate and above positionsExperience in people management, product management, and process improvements is advantageous. Prior consulting or advisory experience is mandatory for Senior Associate and above roles.

The Apex Group was established in Bermuda in 2003 and is now one of the worlds largest fund administration and middle office solutions providers. Our business is unique in its ability to reach globally, service locally and provide cross-jurisdictional services. With our clients at the heart of everything we do, our hard-working team has successfully delivered on an unprecedented growth and transformation journey, and we are now represented by over circa 13,000 employees across 112 offices worldwide.Your career with us should reflect your energy and passion. Thats why, at Apex Group, we will do more than simply empower you. We will work to supercharge your unique skills and experience. Take the lead and well give you the support you need to be at the top of your game. And we offer you the freedom to be a positive disrupter and turn big ideas into bold, industry-changing realities. For our business, for clients, and for you Responsibilities Assist in the development and implementation of data analytics strategies, frameworks, and methodologies aligned with organizational goals and objectives. Drive the identification and exploration of data-driven opportunities to optimize business performance, improve operational efficiency, and achieve strategic objectives. Collaborate with senior leaders and stakeholders to define analytical requirements, establish key performance indicators (KPIs), and develop metrics to measure business performance and progress. Design and implement advanced analytical models and algorithms to extract insights, uncover patterns, and make predictions using large and complex data sets. Provide thought leadership and technical expertise in data analysis, statistical modelling, and machine learning techniques to address complex business problems and support strategic decision-making. Develop and maintain data governance frameworks, data quality standards, and data management practices to ensure accuracy, integrity, and consistency of data assets. Lead cross-functional teams in the design and delivery of data visualizations, dashboards, and reports that effectively communicate insights and drive action. Stay up-to-date with emerging trends, technologies, and best practices in data analytics, and provide recommendations for their adoption to enhance analytical capabilities. Mentor and coach junior analysts, fostering their professional growth and supporting their development of advanced analytical skills. Collaborate with data engineering teams to ensure efficient data collection, integration, and preparation for analysis purposes. Present complex findings, insights, and recommendations to senior leaders and stakeholders in a clear, concise, and compelling manner. Foster a data-driven culture within the organization by promoting the value of data, advocating for data-driven decision-making, and driving data literacy initiatives. Bachelors degree in a quantitative field such as Statistics, Mathematics, Economics, or Computer Science. A Masters or Ph.D. degree is strongly preferred. 10+ years of extensive experience as a Data Analyst, with a significant portion of experience in a senior or lead role. Proven track record of designing and implementing data analytics strategies and driving successful data-driven initiatives. Expert proficiency in SQL for data extraction, manipulation, and analysis. Advanced programming skills in Python/R for statistical analysis, predictive modelling, and machine learning. In-depth knowledge of statistical analysis techniques, predictive modelling, and advanced machine learning algorithms. Strong experience with data visualization tools such as Tableau, Power BI, or similar. Extensive experience with data blending, preprocessing, and automation tools within PowerBi or similar. Solid understanding of database structures, data warehousing concepts, and data governance principles. Exceptional analytical and problem-solving skills, with the ability to tackle complex business challenges and provide innovative solutions. Excellent leadership, strategic thinking, and stakeholder management abilities. Exceptional communication and presentation skills, with the ability to influence and inspire stakeholders at all levels of the organization. Proven ability to work independently, manage multiple projects, and prioritize effectively. Preferred Qualifications Experience in implementing data analytics solutions in cloud platforms such as AWS, Azure, or Google Cloud. Knowledge of big data technologies such as Hadoop, Spark, or similar. Familiarity with data science platforms and libraries (e.g., TensorFlow, PyTorch, scikit learn. Strong business acumen and the ability to align data analysis efforts with organizational goals and strategies. Experience in leading and managing cross-functional teams. DisclaimerUnsolicited CVs sent to Apex (Talent Acquisition Team or Hiring Managers) by recruitment agencies will not be accepted for this position. Apex operates a direct sourcing model and where agency assistance is required, the Talent Acquisition team will engage directly with our exclusive recruitment partners.

Core Characteristics Achievement-oriented Enjoys taking on challenges, even if they might fail. Innovative – Prefers working in unconventional ways or on tasks that require creativity with multivariable inputs and uncertainties. Resource maximizing – Identifies and leverages team resource strengths, while maintaining awareness and pushing for needed growth opportunities. Autonomous/ independent – Enjoys working with little direction. Dynamically detail oriented – Has the awareness of the need and ability to go deep without getting lost, while staying grounded with the bigger picture. Critical thinker – Applies logic, reason, and rationale to a given problem and/ or proposed solution. Dependable – More reliable than spontaneous. Flexible – Ability to manage competing priorities in a fluid environment. Prioritizing – Effective with prioritization, goal setting, and time management. Communicator – Excellent in communications, interpersonally, and in writing. Key Responsibilities: Analyze and interpret complex datasets to uncover valuable insights. Develop and implement Machine Learning (ML) models and algorithms. Collaborate with the team to design and execute data experiments. Utilize cloud platforms for data storage, processing, and analysis. Present findings and insights to both technical and non-technical stakeholders Stay updated on industry trends and advancements in data science, with a focus on healthcare informatics. Analyze complex healthcare data sets to identify trends, patterns, and insights. Create and present reports, dashboards, and visualizations to communicate findings to stakeholders. Isolate healthcare trend drivers and financial impacts associated with client medical claims, pharmacy claims, and other types of healthcare data. Perform varying types of analysis including medical carrier network valuations, discount analysis, and benchmarking. Conduct complex analyses adhering to best practice standards by selecting appropriate data sources, developing assumptions, recognizing considerations, and establishing recommendations. Identify opportunities for process improvement and efficiency through data analysis. Resolve unreasonable results, suboptimal solutions, and data anomalies based on experience and professional judgment. Act as a technical expert and advise on strategic data mining techniques used to identify new relationships or patterns in data. Build predictive models to accurately analyze potential outcomes that are likely costs / savings for a given initiative or event(s). Translate, document, and present approaches, processes, and results of complex modeling and statistical analysis into layperson terms for diverse, internal and external audiences. Qualifications: Degree in computer science, Statistics, Data Science, or a related field. Strong working knowledge of data manipulation and analysis libraries (e.g. Pandas, NumPy, scikit-learn) Familiarity with machine learning (ML) concepts and algorithms. Analyze and interpret complex healthcare datasets to extract valuable insights. Experience with data visualization tools (e.g. Matplotlib, Seaborn, tableau, PowerBI) Basic understanding of databases systems and SQL Experience with cloud platforms (e.g., AWS, Azure or Google Cloud) in a healthcare and biomedical data (ex., clinical and life-sciences) context. Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch) and familiarity with generative AI tools for innovative data-driven solutions. Excellent problem-solving and analytical skills. Eagerness to learn and adapt to new technologies and methodologies. Must possess strong analytical skills with the ability to collect, organize, analyze, and disseminate information with attention to detail and accuracy. Ability to generate information quickly and manage multiple projects at once. Strong analytical skills with the ability to collect, organize, analyze, conceptualize, problem solve, and disseminate information confidently and collaboratively with attention to detail, accuracy, timeliness. Experience in building and deploying highly scalable systems, algorithms, and tools on platforms to support machine learning and deep learning solutions Experience with Azure/AWS tools and technology

Risk Engineering is a multidisciplinary group of quantitative experts who are the authoritative producers of independent risk & capital metrics for the firm. Risk Engineering is responsible for modeling, producing, reviewing, interpreting, explaining and communicating risk & capital metrics and analytics used to ensure the firm adheres to its Risk Appetite and maintains the appropriate amount of Risk Capital. Risk Engineering provides risk & capital metrics, analytics and insights to the Chief Risk Officer, senior management, regulators, and other firm stakeholders. Role Responsibilities A&R delivers critical regulatory and risk metrics & analytics across risk domains (market, credit, liquidity, operational, capital) and firm activities via regular reporting, customized risk analysis, systematically generated risk reporting and risk tools?. A&R has a unique vantage point in the firm's risk data flows that, when coupled with a deep understanding of client and market activities, allows it to build scalable workflows, processes and procedures to deliver actionable risk insights?. The following are core responsibilities for A&R: Delivering regular and reliable risk metrics, analytics & insights based on deep understanding of the firm's businesses and its client activities. Building robust, systematic & efficient workflows, processes and procedures around the production of risk analytics? for financial & non-financial risk, risk capital and regulatory reporting. Attesting to the quality, timeliness and completeness of the underlying data used to produce these analytics?. Qualifications, Skills & Aptitude Eligible candidates are preferred to have the following: Masters or Bachelors degree in a quantitative discipline such as mathematics, physics, econometrics, computer science or engineering. Entrepreneurial, analytically creative, self-motivated and team-oriented. Excellent written, verbal and team-oriented communication skills. Experience with programming for extract transform load (ETL) operations and data analysis (including performance optimization) using languages such as, but not limited to, Python, Java, C++, SQL and R. Experience in developing data visualization and business intelligence solutions using tools such as, but not limited to, Tableau, Alteryx, PowerBI, and front-end technologies and languages. Working knowledge of the financial industry, markets and products and associated non-financial risk. Working knowledge of mathematics including statistics, time series analysis and numerical algorithms. 5+ years of financial or non-financial risk industry experience.

Required At least 2 years of hands-on experience Strong theoretical understanding of DataScience algorithms, deep learning frameworks, and statistical modeling techniques. Proficiency in programming languages such as Python, along with experience in popular ML libraries such as TensorFlow, PyTorch, or scikit-learn. Hands-on experience in developing and deploying machine learning models for NLP and computer vision tasks, with a demonstrable portfolio of projects. Solid understanding of natural language processing techniques, including text classification, sentiment analysis, named entity recognition, etc. Familiarity with computer vision concepts such as image classification, object detection, image segmentation, etc., and experience with frameworks like OpenCV or TensorFlow. ",

1)Strong proficiency in Python or MATLAB for data analysis and visualization. 2) Experience with time-series analysis, signal processing, and statistical modeling (Autocorrelation, Moving Averages, Seasonal Decomposition) to identify trends and patterns. 3) Knowledge of MEMS sensor technologies and data acquisition systems. 4) Hands-on experience with pandas, NumPy, SciPy, scikit-learn, matplotlib for data cleansing and analysis. 5) Ability to generate automated KPI reports and build dashboards using Power BI or Tableau Preferred Qualifications: 1) Experience in smartphone, hearable, or wearable sensors 2) Knowledge of MEMS sensor data wrangling techniques. 3) Knowledge in handling data over cloud platforms (AWS, Azure, GCP) is an added advantage. 4) Familiarity in real-time data streaming processing toolboxes is an added advantage. COB Immediate Mat Lab, Data Analyics, Python, Pandas, Numpy

Role Overview: As a Data Scientist within IBM's Chief Analytics Office, you will support AI-driven projects across the enterprise. You will apply your technical skills in AI, machine learning, and data analytics to assist in implementing data-driven solutions that align with business goals. This role involves working with team members to translate data insights into actionable recommendations. Key Responsibilities: Technical Execution and Leadership: Develop and deploy AI models and data analytics solutions. Support the implementation and optimization of AI-driven strategies per business stakeholder requirements. Help refine data-driven methodologies for transformation projects. Data Science and AI: Design and implement machine learning solutions and statistical models, from problem formulation through deployment, to analyze complex datasets and generate actionable insights. Learn and utilize cloud platforms to ensure the scalability of AI solutions. Leverage reusable assets and apply IBM standards for data science and development. Project Support: Lead and contribute to various stages of AI and data science projects, from data exploration to model development. Monitor project timelines and help resolve technical challenges. Design and implement measurement frameworks to benchmark AI solutions, quantifying business impact through KPIs. Collaboration: Ensure alignment to stakeholders’ strategic direction and tactical needs. Work with data engineers, software developers, and other team members to integrate AI solutions into existing systems. Contribute technical expertise to cross-functional teams. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Education: Bachelor’s or Master’s in Computer Science, Data Science, Statistics, or a related field is required; an advanced degree strongly preferred Experience: 2-4 yearsof experience in data science, AI, or analytics with a focus on implementing data-driven solutions Experience with data cleaning, data analysis, A/B testing, and data visualization Experience with AI technologies through coursework or projects Technical Skills: Proficiency in SQL and Python for performing data analysis and developing machine learning models Knowledge of common machine learning algorithms and frameworkslinear regression, decision trees, random forests, gradient boosting (e.g., XGBoost, LightGBM), neural networks, and deep learning frameworks such as TensorFlow and PyTorch Experience with cloud-based platforms and data processing frameworks Understanding of large language models (LLMs) Familiarity with IBM’s watsonx product suite Familiarity with object-oriented programming Analytical Skills: Strong problem-solving abilities and eagerness to learn Ability to work with datasets and derive insights Other Requirements: Good communication skills, with the ability to explain technical concepts clearly Enthusiasm for learning and applying new technologies Strong project management skills, with the ability to balance multiple initiatives, prioritize tasks effectively, and meet deadlines in a fast-paced environment Successful completion of Coding Assessment Preferred technical and professional experience Advanced degree strongly preferred

Role Overview: As a Data Scientist within IBM's Chief Analytics Office, you will support AI-driven projects across the enterprise. You will apply your technical skills in AI, machine learning, and data analytics to assist in implementing data-driven solutions that align with business goals. This role involves working with team members to translate data insights into actionable recommendations. Key Responsibilities: Technical Execution and Leadership: Develop and deploy AI models and data analytics solutions. Support the implementation and optimization of AI-driven strategies per business stakeholder requirements. Help refine data-driven methodologies for transformation projects. Data Science and AI: Design and implement machine learning solutions and statistical models, from problem formulation through deployment, to analyze complex datasets and generate actionable insights. Learn and utilize cloud platforms to ensure the scalability of AI solutions. Leverage reusable assets and apply IBM standards for data science and development. Project Support: Lead and contribute to various stages of AI and data science projects, from data exploration to model development. Monitor project timelines and help resolve technical challenges. Design and implement measurement frameworks to benchmark AI solutions, quantifying business impact through KPIs. Collaboration: Ensure alignment to stakeholders’ strategic direction and tactical needs. Work with data engineers, software developers, and other team members to integrate AI solutions into existing systems. Contribute technical expertise to cross-functional teams. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Education: Bachelor’s or Master’s in Computer Science, Data Science, Statistics, or a related field is required; an advanced degree is strongly preferred Experience: 5+ yearsof experience in data science, AI, or analytics with a focus on implementing data-driven solutions Experience with data cleaning, data analysis, A/B testing, and data visualization Experience with AI technologies through coursework or projects Technical Skills: Proficiency in SQL and Python for performing data analysis and developing machine learning models Knowledge of common machine learning algorithms and frameworkslinear regression, decision trees, random forests, gradient boosting (e.g., XGBoost, LightGBM), neural networks, and deep learning frameworks such as TensorFlow and PyTorch Experience with cloud-based platforms and data processing frameworks Understanding of large language models (LLMs) Familiarity with IBM’s watsonx product suite Familiarity with object-oriented programming Analytical Skills: Strong problem-solving abilities and eagerness to learn Ability to work with datasets and derive insights Other Requirements: Good communication skills, with the ability to explain technical concepts clearly Enthusiasm for learning and applying new technologies Strong project management skills, with the ability to balance multiple initiatives, prioritize tasks effectively, and meet deadlines in a fast-paced environment Successful completion of Coding Assessment Preferred technical and professional experience Advanced degree strongly preferred

We are seeking skilled R Developers with a minimum of 1 year of development experience to join us as freelancers and contribute to impactful projects Key Responsibilities: Write clean, efficient code for data processing and transformation Debug and resolve technical issues Evaluate and review code to ensure quality and compliance Required Qualifications: 1+ year of R development experience Should have expertise in R programming, data analysis, and statistical modeling Should be skilled in working with large datasets, creating visualizations, and applying machine learning algorithms Flexible hours Remote opportunity Location- Delhi NCR,Bengaluru,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad

Key Responsibilities: Annotate and evaluate AI-generated research content in the field of AI, machine learning, and related domains Design research prompts and assess AI responses for clarity, relevance, and scientific accuracy in AI and machine learning concepts Provide detailed feedback to enhance the AI's research quality and its ability to produce valuable, high-impact insights Collaborate with AI teams to improve the integration of research findings into practical AI applications and systems Develop novel algorithms and models for AI-driven applications across various domains Collaborate with cross-functional teams to integrate research outcomes into production-level systems and products Required Qualifications: Strong background in machine learning, deep learning, reinforcement learning, or natural language processing Proven track record of original research, including publications in leading AI conferences or journals Expertise in programming languages such as Python, C++, or similar, and knowledge of machine learning frameworks (e g, TensorFlow, PyTorch) Ability to think critically and creatively to address complex AI challenges Excellent problem-solving skills, strong communication skills, and the ability to collaborate effectively in a team setting Location: Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad

Build and deploy GenAI Models with techniques such as RAG and Fine Tuning. Developing AI/ML algorithms to analyze huge volumes of historical data to make predictions and recommendations. Implement and optimize deep learning models for generative tasks such as image synthesis, voice etc Collaborate with software engineers to integrate Generative AI models into production systems Should be able evaluate the application cases and problem-solving potential of AI/ML algorithms and rank them according to success likelihood. Should be able to comprehend data through exploration and visualization, spot discrepancies in data distribution Should be able to work on structured as well as unstructured data Should be able to develop various algorithms based on statistical modelling procedures and build and maintain scalable machine learning solutions in production Should be able to leverage cloud platforms for training and deploying large scale solutions (AWS Preferred) Should have working knowledge on managing ModelOps framework Should understand CI/CD processes in product deployment and used it in delivery. Should be able to collaborate with data engineers to build data and model pipelines and maintain accuracy Should be able to take complete ownership of the assigned project Experience of working in Agile environments Well versed with JIRA or equivalent project tracking tool

We are seeking a Data Scientist with 5-10 years of experience to join our dynamic team in India. The ideal candidate will leverage their expertise in data analysis and machine learning to drive impactful insights and strategies for our business. Responsibilities Analyze large datasets to extract insights and inform business decisions. Develop and implement statistical models and machine learning algorithms. Collaborate with cross-functional teams to understand data needs and provide solutions. Present findings and recommendations to stakeholders in a clear and concise manner. Continuously monitor and improve data processes and analytics frameworks. Skills and Qualifications Proficiency in programming languages such as Python or R. Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy). Strong knowledge of machine learning techniques and algorithms. Familiarity with data visualization tools (e.g., Tableau, Matplotlib). Understanding of database management and SQL. Experience with big data technologies (e.g., Hadoop, Spark) is a plus. Strong problem-solving skills and attention to detail.

Project Role : Data Insights & Visualization Practition Project Role Description : Create interactive interfaces that enable humans to understand, interpret, and communicate complex data and insights. Wrangle, analyze, and prepare data to ensure delivery of relevant, consistent, timely, and actionable insights. Leverage modern business intelligence, storytelling, and web-based visualization tools to create interactive dashboards, reports and emerging VIS/BI artifacts. Use and customize (Gen)AI and AI-powered VIS/BI capabilities to enable a dialog with data. Must have skills : Data Analytics Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Enterprise data analyst , your typical day involves creating interactive interfaces that facilitate the understanding and communication of complex data and insights. You will engage in data wrangling, analysis, and preparation to ensure the delivery of relevant, consistent, timely, and actionable insights. Your role will also include leveraging modern business intelligence and storytelling techniques, along with web-based visualization tools, to develop interactive dashboards and reports. Additionally, you will utilize and customize generative artificial intelligence and AI-powered visualization capabilities to foster a dialog with data, enhancing the overall data experience for users. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate training sessions to enhance team members' understanding of data visualization tools and techniques.- Continuously evaluate and improve existing data processes to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Analytics.- Good To Have Skills: Experience with data visualization tools such as Tableau or Power BI.- Strong understanding of data wrangling techniques to prepare data for analysis.- Experience in developing interactive dashboards and reports that communicate insights effectively.- Familiarity with generative artificial intelligence and its applications in data visualization. Additional Information:- The candidate should have minimum 12 years of experience in Data Analytics.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Management Level: - Ind & Func AI Decision Science Consultant Level 9 Location: Gurgaon / Bangalore / Mumbai / Hyderabad Must-have skills: Marketing Analytics, Data Driven Merchandizing (Pricing/Promotions/Assortment Optimization), Statistical Timeseries Models, Store Clustering Algorithms, Descriptive Analytics, State Space Modeling, Mixed Effect Regression, NLP Techniques, Large Language Models, Azure ML Tech Stack, SQL, R, Python, AI/ML Model Development, Cloud Platform Experience (Azure/AWS/GCP), Data Pipelines, Client Management, Insights Communication Good to have skills: Non-linear Optimization, Resource Optimization, Cloud Capability Migration, Scalable Machine Learning Architecture Design Patterns, Econometric Modeling, AI Capability Building, Industry Knowledge:CPG, Retail Job Summary As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading statistical tools, methods, and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. Roles & Responsibilities: Working through the phases of project Define data requirements for Data Driven Growth Analytics capability. Clean, aggregate, analyze, interpret data, and carry out data quality analysis. Knowledge of market sizing, lift ratios estimation. Experience in working with non-linear optimization techniques. Proficiency in Statistical Timeseries models, store clustering algorithms, descriptive analytics to support merch AI capability. Hands on experience in state space modeling and mixed effect regression. Development of AI/ML models in Azure ML tech stack. Develop and Manage data pipelines. Aware of common design patterns for scalable machine learning architectures, as well as tools for deploying and maintaining machine learning models in production. Knowledge of cloud platforms and usage for pipelining and deploying and scaling elasticity models. Working knowledge of resource optimization Working knowledge of NLP techniques, Large language models. Manage client relationships and expectations and communicate insights and recommendations effectively. Capability building and thought leadership. Logical Thinking Able to think analytically, use a systematic and logical approach to analyze data, problems, and situations. Notices discrepancies and inconsistencies in information and materials. Task Management Advanced level of task management knowledge and experience. Should be able to plan own tasks, discuss and work on priorities, track, and report progress . Client Relationship Development Manage client expectations and develop trusted relationships Maintain strong communication with key stakeholders Act as a strategic advisor to clients on their data-driven marketing decisions Professional & Technical Skills: Must have at least 4+ years of work experience in Marketing analytics with a reputed organization. 3+ years of experience in Data Driven Merchandizing which involves work experience in Pricing/Promotions/Assortment Optimization capabilities across retail clients. Strong understanding of econometric/statistical modeling:regression analysis, hypothesis testing, multivariate analysis, time series, optimization Expertise in Azure ML, SQL, R, Python, PySpark Proficiency in non-linear optimization and resource optimization Familiarity with design patterns for deploying and maintaining ML models in production Strong command over marketing data and business processes in Retail and CPG Hands-on with tools like Excel, Word, PowerPoint for communication and documentation Additional Information: Bachelor/Masters degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record Knowledge of CPG, Retail industry. Proficient in Excel, MS word, PowerPoint, etc. Strong client communication. About Our Company | Accenture Qualification Experience: Must have at least 4+ years of work experience in Marketing analytics with a reputed organization. 3+ years of experience in Data Driven Merchandizing which involves work experience in Pricing/Promotions/Assortment Optimization capabilities across retail clients. Educational Qualification: Bachelor/Masters degree in Statistics/Economics/Mathematics/Computer Science or related disciplines. Preferred advanced degrees include M.Tech, M.Phil/Ph.D in Statistics/Econometrics or related field from reputed institutions.

Project Role : Data Insights & Visualization Practition Project Role Description : Create interactive interfaces that enable humans to understand, interpret, and communicate complex data and insights. Wrangle, analyze, and prepare data to ensure delivery of relevant, consistent, timely, and actionable insights. Leverage modern business intelligence, storytelling, and web-based visualization tools to create interactive dashboards, reports and emerging VIS/BI artifacts. Use and customize (Gen)AI and AI-powered VIS/BI capabilities to enable a dialog with data. Must have skills : Data Analytics Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Insights & Visualization Practitioner, you will engage in the creation of interactive interfaces that facilitate the understanding, interpretation, and communication of complex data and insights. Your typical day will involve wrangling, analyzing, and preparing data to ensure the delivery of relevant, consistent, timely, and actionable insights. You will leverage modern business intelligence, storytelling, and web-based visualization tools to develop interactive dashboards, reports, and emerging visualization and business intelligence artifacts. Additionally, you will utilize and customize generative artificial intelligence and AI-powered visualization and business intelligence capabilities to foster a dialog with data, enhancing the overall data experience for users. Roles & Responsibilities:- Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate training sessions and workshops to enhance team capabilities in data analytics and visualization.- Continuously evaluate and improve existing data processes and visualization techniques to ensure optimal performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Analytics.- Good To Have Skills: Experience with data visualization tools such as Tableau or Power BI.- Strong understanding of data wrangling techniques to prepare data for analysis.- Experience in developing interactive dashboards and reports that communicate insights effectively.- Familiarity with AI-powered tools and technologies for enhanced data visualization. Additional Information:- The candidate should have minimum 7.5 years of experience in Data Analytics.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Responsible AI Engineer Project Role Description : Assess AI systems for adherence to predefined thresholds and benchmarks related to responsible, ethical and sustainable practices. Design and implement technology mitigation strategies for systems to ensure ethical and responsible standards are achieved. Must have skills : Responsible AI Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Responsible AI Engineer, you will assess AI systems for adherence to predefined thresholds and benchmarks related to responsible, ethical, and sustainable practices. Design and implement technology mitigation strategies for systems to ensure ethical and responsible standards are achieved. A typical day involves evaluating AI systems and implementing strategies to uphold ethical standards. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Develop and implement responsible AI frameworks.- Conduct audits on AI systems to ensure compliance with ethical standards.- Lead initiatives to promote responsible and sustainable AI practices. Professional & Technical Skills: - Must To Have Skills: Proficiency in Responsible AI.- Strong understanding of AI ethics and responsible practices.- Experience in implementing technology mitigation strategies for AI systems.- Knowledge of AI governance frameworks.- Familiarity with AI bias detection and mitigation techniques. Additional Information:- The candidate should have a minimum of 12 years of experience in Responsible AI.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

Skill required: Property & Casualty - Actuarial Science Designation: Actuarial Specialist Qualifications: Any Graduation Years of Experience: 7 to 11 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.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. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do We help insurers redefine their customer experience while accelerating their innovation agenda to drive sustainable growth by transforming to an intelligent operating model. Intelligent Insurance Operations combines our advisory, technology, and operations expertise, global scale, and robust ecosystem with our insurance transformation capabilities. It is structured to address the scope and complexity of the ever-changing insurance environment and offers a flexible operating model that can meet the unique needs of each market segment.Claims settlements related any client property they own or any accidentsAdvise insurance agencies on how to compile and analyzes statistics and use them to calculate insurance risks and premiums. What are we looking for Adaptable and flexibleAbility to perform under pressureProblem-solving skills Roles and Responsibilities: In this role you are required to do analysis and solving of moderately complex problems May create new solutions, leveraging and, where needed, adapting existing methods and procedures The person would require understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor May interact with peers and/or management levels at a client and/or within Accenture Guidance would be provided when determining methods and procedures on new assignments Decisions made by you will often impact the team in which they reside Individual would manage small 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

Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings. May create dynamic data reports. - Grade Specific Responsible for helping the company leverage data, working with the team of data scientists and engineers to provide valuable direction and make informed decisions concerning the product, growth, and engagement Skills (competencies)

Were looking for a Senior Data Scientist to join our AI & Machine Learning team Youll work on developing advanced analytics solutions for commodity trading ",requirements:["Masters/PhD in Computer Science, Statistics, or related field","Strong experience with machine learning algorithms and statistical modeling"," Expertise in Python, R, and data visualization tools","Experience in commodity trading analytics is a plus

The Data Scientist organization within the Data and Analytics division is responsible for designing and implementing a unified data strategy that enables the efficient, secure, and governed use of data across the organization. We aim to create a trusted and customer-centric data ecosystem, built on a foundation of data quality, security, and openness, and guided by the Thomson Reuters Trust Principles. Our team is dedicated to developing innovative data solutions that drive business value while upholding the highest standards of data management and ethics. About the role: Work with low to minimum supervision to solve business problems using data and analytics. Work in multiple business domain areas including Customer Experience and Service, Operations, Finance, Sales and Marketing. Work with various business stakeholders, to understand and document requirements. Design an analytical framework to provide insights into a business problem. Explore and visualize multiple data sets to understand data available for problem solving. Build end to end data pipelines to handle and process data at scale. Build machine learning models and/or statistical solutions. Build predictive models. Use Natural Language Processing to extract insight from text. Design database models (if a data mart or operational data store is required to aggregate data for modeling). Design visualizations and build dashboards in Tableau and/or PowerBI Extract business insights from the data and models. Present results to stakeholders (and tell stories using data) using power point and/or dashboards. Work collaboratively with other team members. About you: Overall 6+ years experience in technology roles. Must have a minimum of 2 years of experience working in the data science domain. Has used frameworks/libraries such as Scikit-learn, PyTorch, Keras, NLTK. Highly proficient in Python. Highly proficient in SQL. Experience with Tableau and/or PowerBI. Has worked with Amazon Web Services and Sagemaker. Ability to build data pipelines for data movement using tools such as Alteryx, GLUE, Informatica. Proficient in machine learning, statistical modelling, and data science techniques. Experience with one or more of the following types of business analytics applications: Predictive analytics for customer retention, cross sales and new customer acquisition. Pricing optimization models. Segmentation. Recommendation engines. Experience in one or more of the following business domains Customer Experience and Service. Finance. Operations. Good presentation skills and the ability to tell stories using data and PowerPoint/Dashboard Visualizations. Excellent organizational, analytical and problem-solving skills. Ability to communicate complex results in a simple and concise manner at all levels within the organization. Ability to excel in a fast-paced, startup-like environment. #LI-SS5 What’s in it For You Hybrid Work Model We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our valuesObsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound excitingJoin us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.

We are seeking a detail-oriented Senior Pricing Analyst to join the Pricing team. Central Pricing Team works with Pricing Managers, Business Units, Product Marketing Managers, Finance and Sales in price execution of new product launches , maintenance of existing ones , and also creation & maintenance of data products for reporting & analytics . The team is responsible for providing product and pricing information globally to all internal stakeholders and collaborate with upstream and downstream teams to ensure offer pricing readiness. Apart from BAU , the team works on various automation tasks, pricing t ransformation projects & pricing analytics initiatives . About the Role: In this role as a Senior Pricing Analyst, you will You will deploy pricing models and reporting practices that can be used consistently across the business and help the business understand pricing and performance and aid in better decision making. Working with other Pricing Analysts & Pricing Managers, you will work on projects to standardize , centralize and optimize pricing processes to enhance process efficiency , enable pricing analytics frameworks and support in deploying high impact pricing strategies. You will partner closely with Commercial Excellence, Segment , Product Marketing and Finance teams to ensure we effectively implement our pricing strategies as well as identifying and monitoring metrics to measure the impact of specified pricing actions. As part of the Central Pricing Team, you will focus your efforts on standardised and repeatable analytics, pricing operations and execution and reporting that can be deployed consistently across the business and support the development of templates and wor kflows that other teams can utilise from their unique data systems. End to end pricing operations ownership for said product line by collaborating closely with strategic pricing, operations & systems teams to ensure delivery of pricing metrics and process efficiency. Develop documentation of pricing processes and use critical thinking for projects on process redesign & standardization. Develop standardised price performance reporting that can be used across the TR portfolio; Investigate, explain and resolve anomalies in the data; prepare and present findings and actionable insights to improve the effectiveness of pricing processes. Collate, extract, validate and clean raw data, and create, transform and maintain that data to enable quality analysis. Support the development, execution and maintenance of flexible pricing models, price books and discount guidelines and ensure these are effectively and consistently delivered through the various teams and systems at TR. Support the definition and implementation of consistent pricing policies, models, standards and best practices across the PCoE and across the TR portfolio of products. Support ad - hoc investigations and projects aimed at improving pricing across the business. About You: You’re a fit for the role of Senior Pricing Analyst if your background includes Bachelor’s degree required. 6 - 8 years of working in a similar capacity with pricing operations, d ata analytics, order management, deal management or similar functions , with strong focus on pricing /data operations processes & data analysis. Working knowledge of data analysis/ETL processes and data table structures. Experience with Excel, PowerBI / Tableau, Alteryx, Business Objects and/or SQL. Experience in cross - functional managing projects preferred , SaaS experience preferred. Strong communication skills , both oral and written and a bility to influence various stakeholders, including senior management. Demonstrate continuous learning, proactive problem-solving ability & self-starter approach. Shift Timings2 PM to 11 PM (IST). Work from office for 2 days in a week (Mandatory). #LI-GS2 What’s in it For You Hybrid Work Model We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our valuesObsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound excitingJoin us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.

About Us: Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more Based in SF and Hyderabad, we are a young, fast-moving team on a mission to build AI for Good, driving innovation and positive societal impact We are seeking skilled R Developers with a minimum of 1 year of development experience to join us as freelancers and contribute to impactful projects Key Responsibilities: Write clean, efficient code for data processing and transformation Debug and resolve technical issues Evaluate and review code to ensure quality and compliance Required Qualifications: 1+ year of R development experience Should have expertise in R programming, data analysis, and statistical modeling Should be skilled in working with large datasets, creating visualizations, and applying machine learning algorithms Why Join Us Competitive pay (‚1000/hour) Flexible hours Remote opportunity NOTEPay will vary by project and typically is up to Rs 1000 per hour (if you work an average of 3 hours every day that could be as high as Rs 90K per month) once you clear our screening process Shape the future of AI with Soul AI!

About Us: Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more Based in SF and Hyderabad, we are a young, fast-moving team on a mission to build AI for Good, driving innovation and positive societal impact We are seeking skilled R Developers with a minimum of 1 year of development experience to join us as freelancers and contribute to impactful projects Key Responsibilities: Write clean, efficient code for data processing and transformation Debug and resolve technical issues Evaluate and review code to ensure quality and compliance Required Qualifications: 1+ year of R development experience Should have expertise in R programming, data analysis, and statistical modeling Should be skilled in working with large datasets, creating visualizations, and applying machine learning algorithms Why Join Us Competitive pay (‚1000/hour) Flexible hours Remote opportunity NOTEPay will vary by project and typically is up to Rs 1000 per hour (if you work an average of 3 hours every day that could be as high as Rs 90K per month) once you clear our screening process Shape the future of AI with Soul AI!

About Us: Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more Based in SF and Hyderabad, we are a young, fast-moving team on a mission to build AI for Good, driving innovation and positive societal impact We are seeking skilled R Developers with a minimum of 1 year of development experience to join us as freelancers and contribute to impactful projects Key Responsibilities: Write clean, efficient code for data processing and transformation Debug and resolve technical issues Evaluate and review code to ensure quality and compliance Required Qualifications: 1+ year of R development experience Should have expertise in R programming, data analysis, and statistical modeling Should be skilled in working with large datasets, creating visualizations, and applying machine learning algorithms Why Join Us Competitive pay (‚1000/hour) Flexible hours Remote opportunity NOTEPay will vary by project and typically is up to Rs 1000 per hour (if you work an average of 3 hours every day that could be as high as Rs 90K per month) once you clear our screening process Shape the future of AI with Soul AI!

About Us: Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more Based in SF and Hyderabad, we are a young, fast-moving team on a mission to build AI for Good, driving innovation and positive societal impact We are seeking skilled R Developers with a minimum of 1 year of development experience to join us as freelancers and contribute to impactful projects Key Responsibilities: Write clean, efficient code for data processing and transformation Debug and resolve technical issues Evaluate and review code to ensure quality and compliance Required Qualifications: 1+ year of R development experience Should have expertise in R programming, data analysis, and statistical modeling Should be skilled in working with large datasets, creating visualizations, and applying machine learning algorithms Why Join Us Competitive pay (‚1000/hour) Flexible hours Remote opportunity NOTEPay will vary by project and typically is up to Rs 1000 per hour (if you work an average of 3 hours every day that could be as high as Rs 90K per month) once you clear our screening process Shape the future of AI with Soul AI!