206 Time Series Jobs - Page 2

Hyderabad 5 Days office in a week Final round of interview face to face Mandatory Risk Analyst Model Risk Management (MRM) | ICE We are looking for a Risk Analyst to join the Model Risk Management (MRM) team at ICE. This team independently validates quantitative models used across the business and ensures they perform as expected. The role combines data analysis, statistical modeling, and risk management with clear reporting and presentation to stakeholders. Key Responsibilities: Validate and support risk and financial models across business units Perform data analysis using statistical, mathematical, and computational methods Write clear validation reports and present findings to stakeholders Automate and enhance reporting processes Collaborate with domain experts on risk best practices and policies Required Skills: Masters degree in Economics, Finance, Statistics, Mathematics, or related field Strong knowledge of statistics (distributions, regression, time series, probability, etc.) Hands-on experience with Python or R and SQL Excellent writing, presentation, and communication skills Detail-oriented with strong problem-solving and analytical mindset Preferred: 2+ years’ experience with financial/economic data analysis Progress toward FRM or CFA certifications Exposure to Tableau or other visualization tools

Roles and responsibilities Develop novel AIML algorithms and methodologies applicable to control systems engineering and anomaly detection problems. Analyse large time series datasets to identify patterns, trends, and insights to deliver algorithms dealing with diagnostics and prognostics of large energy equipment. Implement and optimize AIML algorithms and models. Design and conduct experiments to test the performance and robustness of AIML-based solutions. Document research findings, methodologies, and implementation details for knowledge sharing and future reference. Collaborate with cross-functional teams, including engineers, researchers, and product managers, to integrate AIML solutions into existing system platforms. Keep abreast of the latest advancements in AIML, control systems, and signal processing engineering through literature review and participation in relevant conferences and seminars. Required Qualifications PhD with 2 - 5 Years Experience or Masters degree with 5 - 7 Years Experience from a reputed institution in Computer Science or other engineering field. Strong understanding of fundamental concepts in statistics, machine learning, and artificial intelligence. Proficiency in programming languages commonly used in AIML applications such as Python, PySpark, PyTorch, Pandas, or similar. Experience with data analysis and manipulation using tools like Pandas, NumPy, or MATLAB. Familiarity with software development best practices, including version control (e.g., Git) and agile methodologies. Basic knowledge of cloud-based architectures Excellent problem-solving skills and ability to think critically and creatively. Strong communication skills and ability to work effectively in a collaborative team environment. Demonstrated ability to build prototypes and quickly develop proof of concepts to show solution feasibility.

Join us as a Software Engineer This is an opportunity for a driven Software Engineer to take on an exciting new career challenge Day-to-day, you'll build a wide network of stakeholders of varying levels of seniority Its a chance to hone your existing technical skills and advance your career Were offering this role at associate vice president level What you'll do In your new role, youll engineer and maintain innovative, customer centric, high performance, secure and robust data science solutions. Youll be working within a feature team and using your extensive experience to engineer software, scripts and tools that are often complex, as well as liaising with other engineers, architects and business analysts across the platform. Youll be proactively bringing together statistical, mathematical, machine learning and software engineering skills to consider multiple solutions, techniques, and algorithms. In addition, youll be: Working with stakeholders to understand their complex requirements and needs of the business, form hypotheses and identify suitable statistical models to meet those needs Working in permanent teams who are responsible for the full life cycle, from initial development, through enhancement and maintenance to replacement or decommissioning Collaborating to optimise our software engineering capability Selecting, building, training, and testing complex machine models, considering model valuation, model risk, governance, and ethics throughout to implement and scale models Designing, producing, testing and implementing our working code Working across the life cycle, from requirements analysis and design, through coding to testing, deployment and operations The skills you'll need Youll need at least eight years of experience in statistical modelling , software engineering, software design, architecture, and an understanding of how your area of expertise supports our customers. Youll also need: Experience of using statistical software, database languages and big data technologies Experience in Python, building machine learning and statistical models Understanding to statistical techniques like linear regression, logistic regression, random forest, time series and K Means Experience in Azure Cloud technology Experience of turning business requirements into a statistical modelling solution

About the Role Mastercards Economics Institute is seeking a talented Economic Analyst with R or Python Programmer skills to join our Global Growth and Operations team. Reporting to the Director, Growth and Operations, this individual will blend advanced economic research with strong programming and data visualization skills. This is a unique opportunity for someone passionate about applying economic thinking and technical expertise to real-world questions at the intersection of economics, retail, and commerce. The role involves working on large-scale data analytics, developing innovative economic insights, and building compelling visualizations that help communicate these insights to diverse audiences. Support client and stakeholder engagements across MEI Collaborate with team economists, econometricians, developers, visualization experts and industry partners. Develop and test hypotheses at the intersection of economics, retail, and commerce. Structure work and manage small project streams, delivering impactful results. Identify creative analyses and develop proprietary diagnostic indices using large and complex datasets, including macroeconomic and big data sources. Generate insights, synthesize analyses into impactful storylines and interactive visuals, and help write reports and client presentations. Enhance existing products and partner with internal stakeholders to develop new economic solutions. Help create thought leadership and intellectual capital. Create and format analytical content using Jupyter Notebooks, R Markdown and/or Quarto. Work with databases and data platforms, including Databricks, SQL and Hadoop. Write clear, well-documented code that others can understand and maintain. Collaborate using Git for version control. All About You Bachelors degree in Economics (preferred), Statistics, Mathematics, or a related field. Proficient in working with relational databases and writing SQL queries. Expertise in working with large-scale data processing frameworks and tools, including Hadoop, Apache Spark, Apache Hive, and Apache Impala. Proficient in R or Python with experience in data processing packages. Skilled in creating data visualizations to communicate complex economic insights to diverse audiences. Experience using data visualization tools such as Tableau or Power BI. Proficiency in machine learning, econometric and statistical techniques, including predictive modeling, survival analysis, time series modeling, classification, regression and clustering methods is desirable. Strong problem-solving skills and critical thinking abilities. Excellent communication skills, both written and verbal. Organized and able to prioritize work across multiple projects. Collaborative team player who can also work independently. Passionate about data, technology, and creating impactful economic insights.

Title and Summary Associate Economics Analyst, Global Growth and Operations-2Overview The Mastercard Economics Institute (MEI) is an economics lab powering scale at Mastercard by owning economic thought leadership in support of Mastercards efforts to build a more inclusive and sustainable digital economy MEI was launched in 2020 to analyze economic trends through the lens of the consumer to deliver tailored and actionable insights on economic issues for customers, partners and policymakers The Institute is composed of a team of economists and data scientists that utilize & synthesize the anonymized and aggregated data from the Mastercard network together with public data to bring powerful insights to life, in the form of 1:1 presentation, global thought leadership, media participation, and commercial work through the companys product suites About the Role Mastercards Economics Institute is seeking a talented Economic Analyst with R or Python Programmer skills to join our Global Growth and Operations team. Reporting to the Director, Growth and Operations, this individual will blend advanced economic research with strong programming and data visualization skills. This is a unique opportunity for someone passionate about applying economic thinking and technical expertise to real-world questions at the intersection of economics, retail, and commerce. The role involves working on large-scale data analytics, developing innovative economic insights, and building compelling visualizations that help communicate these insights to diverse audiences. Support client and stakeholder engagements across MEI Collaborate with team economists, econometricians, developers, visualization experts and industry partners. Develop and test hypotheses at the intersection of economics, retail, and commerce. Structure work and manage small project streams, delivering impactful results. Identify creative analyses and develop proprietary diagnostic indices using large and complex datasets, including macroeconomic and big data sources. Generate insights, synthesize analyses into impactful storylines and interactive visuals, and help write reports and client presentations. Enhance existing products and partner with internal stakeholders to develop new economic solutions. Help create thought leadership and intellectual capital. Create and format analytical content using Jupyter Notebooks, R Markdown and/or Quarto. Work with databases and data platforms, including Databricks, SQL and Hadoop. Write clear, well-documented code that others can understand and maintain. Collaborate using Git for version control. All About You Bachelors degree in Economics (preferred), Statistics, Mathematics, or a related field. Proficient in working with relational databases and writing SQL queries. Expertise in working with large-scale data processing frameworks and tools, including Hadoop, Apache Spark, Apache Hive, and Apache Impala. Proficient in R or Python with experience in data processing packages. Skilled in creating data visualizations to communicate complex economic insights to diverse audiences. Experience using data visualization tools such as Tableau or Power BI. Proficiency in machine learning, econometric and statistical techniques, including predictive modeling, survival analysis, time series modeling, classification, regression and clustering methods is desirable. Strong problem-solving skills and critical thinking abilities. Excellent communication skills, both written and verbal. Organized and able to prioritize work across multiple projects. Collaborative team player who can also work independently. Passionate about data, technology, and creating impactful economic insights.

As a Quantitative Analytics Specialist at Wells Fargo, you will play a crucial role in independently overseeing the management of model risk exposures across the enterprise. Your responsibilities will include developing, implementing, and calibrating various analytical models, performing complex activities related to financial products and business analysis, and utilizing statistical and mathematical models using Python, R, SAS, C++, and SQL. You will also provide analytical support, offer insights on business initiatives, and analyze workflow processes to recommend improvements in risk management. To qualify for this role, you should have at least 2 years of Quantitative Analytics experience or equivalent demonstrated through work experience, training, military experience, or education. A Master's degree or higher in statistics, mathematics, physics, engineering, computer science, economics, or a quantitative discipline is required. Desired qualifications include experience in model validations for areas such as Treasury, Capital, Liquidity, Operational, and Business Planning, among others. You should be able to execute validation processes based on supervisory guidance, risk management policies, and industry best practices. Proficiency in Python, exposure to Balance sheet Models, and hands-on experience with quantitative methodologies will be beneficial. Additionally, you are expected to have practical quantitative programming experience with SAS, SQL, Python, and R, and be comfortable working with large datasets. Building and maintaining effective relationships with key partners and stakeholders, understanding model risk supervisory guidance, and continually striving to enhance the quality of independent model validation are also key aspects of this role. A PhD or Master's degree in relevant fields with 2+ years of experience is preferred. The shift timings for this role are from 1:30 PM to 10:30 PM. Candidates applying for this position are encouraged to support diversity initiatives. Wells Fargo values building strong customer relationships while maintaining a risk-mitigating and compliance-driven culture. Employees are responsible for executing risk programs and adhering to policies, procedures, and compliance obligations. Please note that the job posting may close early due to the volume of applicants. Wells Fargo is committed to maintaining a drug-free workplace and requires candidates to represent their own experiences during the recruitment and hiring process. If you have any disabilities and require accommodations during the application or interview process, please visit Disability Inclusion at Wells Fargo.,

Management Level: Ind&Func AI Decision Science Consultant Job Location: Bangalore / Gurgaon Must-have Skills: Excellent understanding of Pharma data sets commercial, clinical, Leverage ones hands on experience of working across one or more of these areas such as real-world evidence data, Statistical Models/Machine Learning including Segmentation & predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization. Good-to-have Skills: Programming languages such as R, Python, SQL, Spark, AWS, Azure, or Google Cloud for deploying and scaling language models, Data Visualization tools like Tableau, Power BI. Experience: Proven experience (4+ years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes. Educational Qualification: Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field. Job Summary This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. Key Responsibilities An opportunity to work on high-visibility projects with top Pharma clients around the globe. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. Provide Subject matter expertise in various sub-segments of the LS industry. Support delivery of small to medium-sized teams to deliver consulting projects for global clients. Responsibilities may include strategy, implementation, process design, and change management for specific modules. Work with the team or as an Individual contributor on the project assigned which includes a variety of skills to be utilized from Data Engineering to Data Science Develop assets and methodologies, point-of-view, research, or white papers for use by the team and the larger community. Acquire new skills that have utility across industry groups. Support strategies and operating models focused on some business units and assess likely competitive responses. Also, assess implementation readiness and points of greatest impact. Additional Information Proficient in Excel, MS Word, PowerPoint, etc. Ability to solve complex business problems and deliver client delight. Strong writing skills to build points of view on current industry trends. Good communication, interpersonal, and presentation skills About Our Company | Accenture (do not remove the hyperlink) Qualification Experience: Proven experience (4+ years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes. Educational Qualification: Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field.

Practical in applying geometric concepts, with strong Python & SQL skills. Creative problem-solver, innovator, able to build agent-driven solutions. Senior dev with TDD, AWS knowledge preferred over Ph.D.

We are looking for a talented and highly motivated research scientist to help advance our efforts in Time Series Foundation Models and FM for Decision optimization. In this role, you will work in building new architectures and models leveraging state-of-the-art techniques to enhance forecasting, anomaly detection, classification and process optimization. You will collaborate with a multidisciplinary team to develop and deploy AI-driven solutions. Required education Doctorate Degree Required technical and professional expertise Deep expertize in time series, sequential decision making. Proficiency in Python, Java, or other relevant programming languages. Familiarity with machine learning, NLP, or AI-driven software analysis. Solid understanding of data structures and algorithms Passion for AI-driven innovation for industrial applications

Preferred Qualifications: Experience in AI/ML in the healthcare sector Experience working with cross-functional and distributed teams in a global and diverse environment Experience in establishing AI/ML best practices, standards, RUAI, and ethics Required Qualifications: Proven solid Python programming skills and experience with deep learning popular frameworks such as PyTorch Proficiency in SQL and other programming languages for data analysis and modeling Proficiency with cloud development environments such as Azure, AWS, and GCP Proven in-depth knowledge in Generative AI technology and Large Language Models (LLM) Experience with LLM frameworks and/or NLP approaches such as text embedding Experience working on collaborative software projects using GitHub Proven solid technical communication skills Experience with both traditional machine learning algorithms and modern deep learning and generative AI models Proven good knowledge of GPU use, and the ability to rapidly set up pipelines for testing new ideas Proven excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify root causes, and recommend solutions Skill Set; NLP, NLU, NLI, Transformers, Attention, GPT, Llama, Mistral, Model Quantization, Model Optimization, Retrieval & Ranking, RAG, RAGAS Statistics, Machine Learning Models, Model Deployment Proven excellent communication, writing, and presentation skills Proven advanced understanding of Deep Learning with applications in Time series Processing, NLP, and multimodal modeling Mandatory Skills: AI Cognitive .Experience: 5-8 Years .

The Purpose of This Role You will be responsible for conducting consultative analytics and creating executive level recommendations for business partners and line finance. You will also provide a broad range of ad hoc analytical support as needed. The analyses and insights delivered are critical components to drive business planning and ongoing decision making. The Value You Deliver Providing analyses and strategic recommendations to team, management, and business partners Synthesizing data, analyses, and conclusions into self-service dashboards or presentations for senior management Finding opportunities to streamline work processes to make the team more efficient and effective Proactive partnership and communication with business and Finance partners Using tools and business knowledge to continuously provide insightful information, reporting and analytics that evolve with changes in the business Work with the business to understand investment opportunities and provide cost benefit analyses to support decision making Contributing to the finance community with your energy, enthusiasm and team spirit The Skills that are Key to this role Technical / Behavioral Expertise and significant experience in Data Analytics and modelling, including predictive modelling and time series forecasting is essential. Preferably in workforce optimization area. Outstanding analytical and problem-solving skills. Comfortable working through ambiguous asks and ideas from concept to delivery. Working independently to perform most analyses. Translate research findings as well as quantitative analyses into accessible visuals for non-technical audiences, providing a clear view into interpreting data, and crisply communicating recommendations Willingness and ability to learn new tools and technologies as needed. Ability to respond to shifting priorities while maintaining progress of regularly scheduled work. Excellent written and verbal communications skills, including the ability to communicate effectively at varying levels of the organization. Ability to communicate complex ideas in simple terms. Intellectually curious and willing to ask questions and challenge status quo to benefit the organization Strong interpersonal skills. Flexible and adaptable team player. The Skills that are Good To Have for this role Proficiency in Python Confidence and ability to influence senior leaders in the organization.

Role: Java Developer / Senior Java Developer Experience: 7+ Years Work Location: Hyderabad Key Responsibilities: Design, develop, test, and deploy high-performance Java applications. • Implement complex business logic, algorithms, and time series programs (problem-solving mindset similar to coding platforms like LeetCode). • Work on RESTful Web Services, microservices using Spring Boot and Spring MVC. • Develop and enhance solutions using Java 8+ features (Lambda, Streams), collections, and advanced multithreading concepts. • Build scalable, maintainable services with focus on performance, reliability, and security. • Integrate with messaging systems (Java Messaging). • Collaborate in an Agile/SCRUM environment with cross-functional teams. • Participate in code reviews, technical discussions, and provide mentorship (for senior roles) Required Skills • Core Java (8 and above): Strong expertise in Lambda expressions, Streams API, Collections, Generics, and Multithreading. • Problem-Solving: Solid programming & algorithmic skills; able to solve time-series or data intensive problems. • Frameworks: Hands-on with Spring Boot, Spring MVC, and microservices architectures. • Web Services: Strong proficiency with REST APIs development & integration. Messaging: Experience with Java Messaging frameworks/tools (e.g., JMS, Kafka, RabbitMQ preferred). • Build & Versioning: Proficiency in Git and Maven. • Methodologies: Exposure to Agile/SCRUM development practices. Good to Have (Optional) • Experience with cloud-native deployments (AWS, Azure, GCP). • Exposure to CI/CD pipelines, containers (Docker, Kubernetes). • Knowledge of performance tuning and distributed systems. Behavioral Skills • Strong analytical and problem-solving abilities. • Ability to work independently and in a fast-paced collaborative environment. • Excellent communication and interpersonal skills. Engagement Model Flexible to work from Hyderabad (preferred) or Bangalore office. Interview Mode: Direct walk-in

You have an exciting opportunity for the role of Senior Data Scientist - Analytics. You should possess a degree in mathematics, finance, statistics, engineering, computer science, or a related field. It is preferred to have experience in statistics, regression, time series, and econometrics. You should have at least 4 years of hands-on experience working with R and R-Shiny, along with a strong command over SQL and a genuine passion for open-source solutions. Additionally, a minimum of 2 years of experience in project management and team management is required. Your role will require a robust knowledge of Data Structures & Algorithms, APIs, ETL processes, testing methodologies, and cloud technologies, especially AWS. Experience in designing and building exploratory data analysis and data visualization is essential. Having a solution-oriented mindset and being self-directed are important qualities for this role. You should also have experience using version control software and project management solutions. It is crucial to align with the values of Passion, Integrity, Excellence, and Results as defined by Argus. If you find this opportunity appealing, we encourage you to share your resume with divya@thinkparms.in.,

As a Machine Learning Engineer specializing in Cyber Security and Networking domain, you will be responsible for developing advanced machine learning models to enhance network security and management products. Your primary focus will be on leveraging AI-driven solutions to optimize processes, improve product performance, and drive business solutions using company data. You should possess strong skills in ML model design, Python programming, anomaly detection, and have experience with time series or classification. You will work closely with stakeholders across the organization to identify opportunities for utilizing data effectively. Being a self-starter, you are expected to produce impactful outcomes in a dynamic start-up environment. Your hunger for growth and openness to technical challenges will be crucial for success in this role. Additionally, your expertise in cybersecurity domain is essential, along with experience in working with cybersecurity/NetFlow/DNS datasets and anomaly detection in a security context. Collaboration with cross-functional teams to implement and monitor models, analyze data accuracy, and optimize customer experiences will be part of your daily responsibilities. You will also lead a team of engineers and data scientists to re-engineer network security and management products, define project goals, and deliver cutting-edge AI solutions. Communication of progress, challenges, and solutions to senior management and stakeholders is vital. To qualify for this role, you should hold a Bachelor's degree in Engineering with 4 to 5 years of experience in AI/ML. Proficiency in TensorFlow, PyTorch, Keras, and Natural Language Processing (NLP) is necessary. Your knowledge of various machine learning techniques, statistical concepts, and experience in threat intelligence and anomaly detection will be highly valued. Excellent written and verbal communication skills are required for effective coordination across teams. If you have a drive to learn and master new technologies and techniques, and are passionate about utilizing AI for cybersecurity solutions, this role offers an exciting opportunity for professional growth and impact.,

We are looking for a talented R Analytics professional to join our analytics team. You should have a strong background in data analysis, statistical modeling, and proficiency in the R programming language. Your main responsibilities will include analyzing complex datasets, providing insights, and developing statistical models to support business decisions. You will be expected to utilize R programming to analyze large and complex datasets, perform data cleaning, transformation, and analysis. Additionally, you will be responsible for developing and implementing statistical models such as regression, time series, and classification to provide actionable insights. Conducting exploratory data analysis (EDA) to identify trends, patterns, and anomalies is also a key part of the role. Furthermore, you will need to visualize data through plots, charts, and dashboards to effectively communicate results to stakeholders. Collaboration with cross-functional teams to define business problems and develop analytical solutions is essential. Building and maintaining R scripts and automation workflows for repetitive tasks and analysis is also part of the job. You should stay updated with the latest developments in R packages and data science techniques. Presenting findings and insights to stakeholders through clear, concise reports and presentations is crucial. Providing technical support and guidance to data analysts and scientists on R-related issues, troubleshooting and resolving R code errors and performance issues, developing and maintaining R packages and scripts to support data analysis and reporting, and collaborating with data analysts and scientists to design and implement data visualizations and reports are also part of the responsibilities. Qualifications: - Bachelor's/Master's degree in Statistics, Mathematics, Data Science, Computer Science, or a related field. - Minimum 3-5 years of experience in a senior role specifically focusing on R Language, R Studio, and SQL. - Strong knowledge of statistical techniques (regression, clustering, hypothesis testing, etc.). - Experience with data visualization tools like ggplot2, shiny, or plotly. - Familiarity with SQL and database management systems. - Knowledge of machine learning algorithms and their implementation in R. - Ability to interpret complex data and communicate insights clearly to non-technical stakeholders. - Strong problem-solving skills and attention to detail. - Familiarity with version control tools like Git is a plus.,

Wipro Limited is a leading technology services and consulting company dedicated to developing innovative solutions that address clients" most complex digital transformation needs. With a holistic portfolio of capabilities in consulting, design, engineering, and operations, Wipro assists clients in realizing their boldest ambitions and creating future-ready, sustainable businesses. With a workforce of over 230,000 employees and business partners spanning 65 countries, Wipro is committed to helping customers, colleagues, and communities thrive in a constantly evolving world. As a Gen AI Specialist at Wipro located in Bangalore, your primary responsibility is to develop minimum viable product (MVP) and comprehensive AI solutions that not only meet but exceed clients" expectations, thereby adding substantial value to their business. Your role involves leveraging your skills in Gen AI, AI, ML, NLP, Time Series, and Statistics to: - Develop, train, and deploy machine learning models - Process and clean large datasets - Collaborate effectively with cross-functional teams - Stay abreast of the latest AI/ML trends To excel in this role, you should possess: - Strong Python programming skills - Experience with ML frameworks such as sklearn, xgboost, TensorFlow, and PyTorch - Proficiency in Salesforce Tech, Apex, LWC, and Integration - Knowledge of ML algorithms and techniques - Strong problem-solving and analytical abilities Preferred skills include experience with cloud platforms like AWS, GCP, and Azure, as well as knowledge of MLOps practices. Your performance will be measured based on key parameters including continuous technical project management & delivery, client-centricity, and capability building & team management. As a Generative AI Specialist with 5-8 years of experience, you will play a crucial role in driving the digital transformation at Wipro while contributing to the creation of a modern and innovative work environment. Join Wipro to reinvent your world and be part of a business powered by purpose. Embrace the opportunity to constantly evolve, reinvent yourself, and realize your ambitions in a dynamic and empowering workplace. Wipro is committed to diversity and inclusion, and applications from people with disabilities are explicitly welcome.,

We are seeking a highly skilled Senior Analyst/Team Lead to lead our Workforce Management (WFM) Forecasting team. The ideal candidate will have expertise in Time Series, Predictive Analysis, Machine Learning, and Python programming. The successful candidate will be responsible for developing and implementing accurate forecasting models to optimize workforce planning and management. Responsibilities Lead the WFM Forecasting team to develop and implement accurate forecasting models using Time Series, Predictive Analysis, and Machine Learning techniques. Collaborate with stakeholders to understand business requirements and develop forecasting models that meet their needs. Develop and maintain Python scripts to automate forecasting processes and integrate with existing systems. Analyze and interpret forecasting results to identify trends and areas for improvement. Provide training and guidance to junior team members on forecasting techniques and tools. Develop and maintain documentation of forecasting processes and models. Requirements - 6-14 years of experience in Workforce Management, Forecasting, Time Series, Predictive Analysis, and Machine Learning. Experience with WFM software (e.g., NICE IEX, Genesys) Strong expertise in Python programming and experience with machine learning libraries such as scikit-learn and TensorFlow. Excellent analytical and problem-solving skills with the ability to interpret complex data and develop accurate forecasting models. Strong communication and leadership skills with the ability to collaborate with stakeholders and lead a team. Bachelor's degree in a quantitative field such as Mathematics, Statistics, or Computer Science. Contact Person - Subashini Email - subashini@gojobs.biz

About The Role Management Level: Ind&Func AI Decision Science Consultant Job Location: Bangalore / Gurgaon Must-have Skills: Excellent understanding of Pharma data sets commercial, clinical, Leverage ones hands on experience of working across one or more of these areas such as real-world evidence data, Statistical Models/Machine Learning including Segmentation & predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization. Good-to-have Skills: Programming languages such as R, Python, SQL, Spark, AWS, Azure, or Google Cloud for deploying and scaling language models, Data Visualization tools like Tableau, Power BI. Job Summary This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. Key Responsibilities An opportunity to work on high-visibility projects with top Pharma clients around the globe. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. Provide Subject matter expertise in various sub-segments of the LS industry. Support delivery of small to medium-sized teams to deliver consulting projects for global clients. Responsibilities may include strategy, implementation, process design, and change management for specific modules. Work with the team or as an Individual contributor on the project assigned which includes a variety of skills to be utilized from Data Engineering to Data Science Develop assets and methodologies, point-of-view, research, or white papers for use by the team and the larger community. Acquire new skills that have utility across industry groups. Support strategies and operating models focused on some business units and assess likely competitive responses. Also, assess implementation readiness and points of greatest impact. Additional Information Proficient in Excel, MS Word, PowerPoint, etc. Ability to solve complex business problems and deliver client delight. Strong writing skills to build points of view on current industry trends. Good communication, interpersonal, and presentation skills About Our Company | Accenture (do not remove the hyperlink) Qualification Experience: Proven experience (4+ years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes. Educational Qualification: Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field.

About The Role Management Level: Ind & Func AI Decision Science Analyst Job Location: Bangalore / Gurgaon Must-have Skills: Life Sciences/Pharma/Healthcare projects and delivering successful outcomes, commercial, clinical, Statistical Models/Machine Learning including Segmentation & predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization. Good-to-have Skills: Proficiency in Programming languages such as R, Python, SQL, Spark, AWS, Azure, or Google Cloud for deploying and scaling language models, Data Visualization tools like Tableau, Power BI Job Summary We are seeking an experienced and visionary - Accenture S&C Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. Key Responsibilities Support delivery of small to medium-sized teams to deliver consulting projects for global clients. An opportunity to work on high-visibility projects with top Pharma clients around the globe. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. Responsibilities may include strategy, implementation, process design, and change management for specific modules. Work with the team or as an Individual contributor on the project assigned which includes a variety of skills to be utilized from Data Engineering to Data Science Develop assets and methodologies, point-of-view, research, or white papers for use by the team and the larger community. Work on variety of projects in Data Modeling, Data Engineering, Data Visualization, Data Science etc., Acquire new skills that have utility across industry groups. Additional Information Ability to solve complex business problems and deliver client delight. Strong writing skills to build points of view on current industry trends. Good communication, interpersonal, and presentation skills About Our Company | Accenture (do not remove the hyperlink) Qualification Experience: Proven experience (2+ years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes. Educational Qualification: Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field.

You are part of a team of 10 experts in meteorology, agronomy, data science, and pedology. The Product & Innovation team at Weenat is looking to expand its workforce with a data scientist profile. If you are seeking an engaging role in a dynamic team and are willing to contribute your talents to a project that enhances the daily lives of farmers, hesitate no more, and join the team! As a Data Scientist Junior at Weenat, your role involves participating in the development of R&D projects and the continuous improvement of our data products. Being part of the Data Science group, your missions will include: - Enhancing the quality of our data, data products, and services. - Developing new algorithms for processing environmental data (meteorological, agronomic, etc.), building agronomically relevant parameters using machine learning methods, and evaluating model performance. - Assessing various data sources through comparison with reference products. - Contributing to project R&D progress reports. - Addressing statistical, figure, and mapping needs of other Weenat teams. - Conducting various agroclimatic studies for our partners. Desired Profile: - Bachelor's degree in Data Science (equivalent to Engineer/Master's). - At least 1 year of experience in data science (internship/apprenticeship included). - Skills in data analysis, spatial statistics, time series, mapping, machine learning methods, and model evaluation. - Proficiency in Python programming, mastery of data analysis, machine learning libraries, and the creation of maps and graphics. - Teamwork in a multidisciplinary environment, teaching abilities to guide students, good English comprehension. - Curiosity in meteorology, agronomy, and/or pedology is a plus. Your greatest strength lies in your motivation and eagerness to invest in the Weenat project! Job Details: - Permanent position, full-time, immediately available. - Location: Nantes or Clermont-Ferrand. How to Apply: Send your CV + cover letter to jointheteam@weenat.com with "DATASCIENTIST JUNIOR" in the subject line of your application or fill out the form on the website.,

Beyond Key is a Microsoft Gold Partner and a Great Place to Work-certified company that values the happiness of both team members and clients. The company, established in 2005, is an international IT consulting and software services firm that focuses on providing cutting-edge services and products to meet global client needs. With a team of over 350 skilled software professionals, Beyond Key serves clients from various regions including the United States, Canada, Europe, Australia, the Middle East, and India by creating and designing IT solutions tailored to their requirements. As an AI Consultant at Beyond Key, your primary role involves assisting businesses in harnessing artificial intelligence technologies to enhance operations, facilitate decision-making processes, and foster innovation within their organizations. You will be responsible for analyzing business requirements, conceptualizing AI-driven solutions, and guiding companies through the process of AI integration while ensuring ethical and effective implementation practices. Key Responsibilities: - Design and implement AI models, algorithms, and systems to address complex business challenges. - Demonstrate a solid understanding of AI applications, capabilities, and industry best practices. - Possess expertise in various AI models and fields such as NLP, Computer Vision, Gen AI, Time series, etc. - Hands-on experience in developing and optimizing AI models for optimal performance. - Collaborate closely with cross-functional teams to seamlessly integrate AI solutions with existing systems. - Manage the end-to-end delivery process of AI solutions, from inception and development to deployment and scalability. - Lead and supervise a team of AI developers, data scientists, and researchers. - Excellent communication and presentation skills to effectively communicate complex AI concepts to non-technical stakeholders. - Engage in client interactions and provide consultancy on AI solutions and their practical applications. Qualifications: - Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field. - Minimum of 3 years of hands-on experience in AI consulting, data science, or AI solution development. - Industry-specific AI experience in sectors like healthcare, finance, or retail is advantageous. If you are passionate about leveraging AI to drive business transformation and innovation, we invite you to explore our current job opportunities and consider joining our team at Beyond Key.,

Role & Responsibilities: Design, develop, and maintain high-performance Java applications for banking and fintech domains. Implement and optimize Timeseries programs for large-scale data processing. Work extensively on multithreading, collections, and data structures to build efficient solutions. Develop RESTful web services and integrate with existing systems. Collaborate with cross-functional teams using Agile/SCRUM methodology. Manage code versioning and build processes using Git and Maven. Preferred Candidate Profile: Minimum 5+ years of hands-on experience in Core Java (Java 8 and above). Strong expertise in Timeseries programming, multithreading, and collections. Proficiency in Spring Boot, Spring MVC, and microservice-based architecture. Experience in building and consuming RESTful web services. Prior exposure to banking/fintech projects is an added advantage. Good understanding of Agile practices, CI/CD, and modern development tools.

Role & responsibilities We seek Data Scientist to join the Forecasting & Planning Research team. The data scientists will be responsible for modeling complex problems, discovering insights and identifying opportunities through the use of statistical, machine learning, algorithmic, data mining and visualization techniques. They are also responsible for moving the models to productionenvironment and automate with appropriate drift monitoring and model improvement process. They will need to collaborate effectively with internal stakeholders and cross-functional teams to understand requirements, solve problems, create operational efficiencies, and deliver successfully against high organizational standards. The candidates should be able to apply a breadth of tools, data sources and analytical techniques to answer a wide range of high-impact business questions and present the insights in concise and effective manner. Additionally, the candidates should be an effective communicator capable of independently driving issues to resolution, communicating insights to non-technical audiences and documenting the artifacts. This is a high impact role with goals that directly impacts the bottom line of the business. Preferred candidate profile Key Deliverables: • Development of accurate and reliable workforce forecasting models. • Automate training and forecasting by deploying data and model pipelines on AWS cloud infrastructure with drift monitoring with emphasis on accuracy and speed • Building Project launch impact estimates model using tools such as of analytics, time series, probability and deep learning. • Reduce MAPE (forecasting accuracy) across different risk functions. • Automate data ingestion for Project inputs from Excel to forecasting models • Improved data quality through rigorous cleaning and transformation processes and automating them. • Clear documentation of the code and artifacts. • Actionable insights derived from data analysis to support strategic decisions. • Experiment with latest forecasting algorithms & processes to optimize existing modeling infrastructure. Qualification Needed: • 5+ years of data scientist experience, preferably with Forecasting systems & Operational Research • 3+ years of data querying languages (e.g. SQL) and scripting languages (e.g. Python) experience • 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience • 3+ years of AWS cloud experience building end-to-end products deploy, monitor and update them using tools such as Amazon SageMaker pipelines and docker containers. • Experience applying theoretical models in an applied environment • Understanding of demand forecasting & impact on operational capacity planning • Knowledge of time series models and deep learning for time series are an asset.

Management Level: Ind & Func AI Decision Science Analyst Job Location: Bangalore / Gurgaon Must-have Skills: Life Sciences/Pharma/Healthcare projects and delivering successful outcomes, commercial, clinical, Statistical Models/Machine Learning including Segmentation & predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization. Good-to-have Skills: Proficiency in Programming languages such as R, Python, SQL, Spark, AWS, Azure, or Google Cloud for deploying and scaling language models, Data Visualization tools like Tableau, Power BI Experience: Proven experience (2+ years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes. Educational Qualification: Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field. Job Summary We are seeking an experienced and visionary - Accenture S&C Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. Key Responsibilities Support delivery of small to medium-sized teams to deliver consulting projects for global clients. An opportunity to work on high-visibility projects with top Pharma clients around the globe. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. Responsibilities may include strategy, implementation, process design, and change management for specific modules. Work with the team or as an Individual contributor on the project assigned which includes a variety of skills to be utilized from Data Engineering to Data Science Develop assets and methodologies, point-of-view, research, or white papers for use by the team and the larger community. Work on variety of projects in Data Modeling, Data Engineering, Data Visualization, Data Science etc., Acquire new skills that have utility across industry groups. Additional Information Ability to solve complex business problems and deliver client delight. Strong writing skills to build points of view on current industry trends. Good communication, interpersonal, and presentation skills About Our Company | Accenture (do not remove the hyperlink) Qualification Experience: Proven experience (2+ years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes. Educational Qualification: Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field.

ScyllaDB is seeking a Senior Solutions Architect based in India to support pre-sales and Proof-of-Concept activities. The ideal candidate is a productive hands-on professional who enjoys a fast-paced growing company environment. Key Responsibilities Customer Engagements support sales conversations and explain the benefits of ScyllaDB to prospects, users, and customers. Solutions Enablement provide technical review and recommendations to deploy Scylla in production. Help prospects set, maintain, and benchmark ScyllaDB during Proof-of-Concept phases. Solutions creation develop and document solutions using ScyllaDB. Create integration documents and benchmarks of 3rd parties tools with ScyllaDB products. Training develop training material for ScyllaDB customers and create and deliver training for ScyllaDB users. Community Support - provide recommendations, tips, and answers to ScyllaDB users through social media and open technical forums. Requirements 3-5 years in a customer-facing role Excellent knowledge of Linux operating systems 2+ years of NoSQL database deployment/management, including data modeling and application deployment using NoSQL database Experience using Spark, Time Series, and Graph Databases Undergraduate degree in engineering or computer science or similar Outstanding communication skills written and verbal Well-organized and able to manage multiple projects simultaneously Excellent people skills to interact with staff, colleagues, and customers Proven ability to go deep technically and understand our product intimately