524 Predictive Analytics Jobs - Page 18

Fusion Software Institute Kharadi Pune is looking for Data Science with AI Trainer to join our dynamic team and embark on a rewarding career journey. The AI Trainer is responsible for creating and delivering training programs to enable individuals and organizations to leverage AI technologies effectively This role involves designing curriculum, conducting training sessions, and providing ongoing support to ensure successful AI adoption Key Responsibilities:Curriculum Development:Design comprehensive training materials, including manuals, presentations, and hands-on exercises, to cover various aspects of AI concepts, tools, and applications Keep content updated with the latest advancements and industry best practices in AI Training Delivery:Conduct engaging and informative training sessions for diverse audiences, including developers, data scientists, business professionals, and other stakeholders Utilize a variety of teaching methods, such as lectures, workshops, and hands-on exercises, to accommodate different learning styles Customization:Tailor training programs to meet the specific needs of different groups or organizations, considering their industry, skill levels, and objectives Feedback and Assessment:Gather feedback from trainees to continuously improve training materials and delivery methods Develop and administer assessments to evaluate the effectiveness of the training programs Support and Consultation:Provide ongoing support to trainees, answering questions and addressing challenges they encounter during the application of AI technologies Offer consultation services to help organizations integrate AI into their existing workflows and projects Stay Current:Stay abreast of the latest trends, tools, and technologies in the field of AI to ensure the training content remains relevant and up-to-date

We are seeking a passionate and experienced Data Science Trainer to develop and deliver comprehensive training programs in data science and related fields As a Data Science Trainer, you will play a crucial role in shaping the next generation of data scientists by imparting industry-relevant knowledge and skills

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.

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!

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!

We are seeking a highly skilled and innovative AI & MLTechnology Specialist to drive AI initiatives within our HR function. Theideal candidate will explore and implement advanced AI and machine learningsolutions to enhance HR processes, leveraging cutting-edge technologies such as data lakes, AI/ML bots, predictive analytics, and automation frameworks . Key Responsibilities: Develop AI-driven HR Solutions : Identify and implement AI and ML applications to optimize recruitment, onboarding, employee engagement, performance management, and workforce planning. Data Management & Analytics : Design and manage high-end HR data lakes , ensuring data integrity, security, and accessibility for advanced analytics. AI/ML Bot Development : Work on intelligent HR chatbots for employee queries, HR service automation, and improving user experience. Predictive Workforce Analytics : Utilize machine learning models to analyze workforce trends, predict attrition, assess employee satisfaction, and optimize talent management strategies. Collaborate with HR & IT Teams : Partner with cross-functional teams to understand business needs, develop AI-driven HR solutions, and ensure seamless integration with existing HR systems. Research & Continuous Innovation : Stay up-to-date with emerging AI/ML trends, tools, and frameworks, recommending best practices for HR transformation. Qualifications & Skills: Bachelor's/Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related field . Proven experience in AI & ML technologies , with a focus on HR applications. Strong knowledge of data lakes, predictive analytics, NLP, chatbot development, and automation . Proficiency in programming languages such as Python, R, TensorFlow, or PyTorch . Experience with HR tech platforms, cloud-based AI solutions, and big data analytics is a plus. Excellent problem-solving skills, analytical mindset, and ability to communicate technical concepts to non-technical stakeholders.

Entity :- Accenture Strategy & Consulting Team :- Global Network – Data & AI Practice :- Product Engineering Title :- Ind & Func AI Value Strategy Consultant Job location :- Bengaluru/Gurgaon/Mumbai/Pune/Hyderabad About S&C - Global Network :- Accenture 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. WHAT'S IN IT FOR YOU? A Data Architect is a professional who specializes in developing and optimizing database models to store and retrieve company information. They play a crucial role in designing and maintaining data architecture, ensuring data integrity, security, and efficient storage. If you're passionate about data and have the expertise to shape robust data solutions, this role might be a great fit for you. Responsibilities As a Data Architect, your responsibilities will include: Developing Database Solutions : Create and optimize database structures to efficiently store and retrieve company data. Implement data migration strategies when transitioning to new systems. Collaborate with IT teams to set up databases and related tools. Structural Requirements Analysis : Analyze structural requirements for new software and applications. Understand business needs and translate them into effective data models. Data Migration : Migrate data from legacy systems to modern solutions. Ensure smooth data transition without compromising integrity. Data Model Design : Design conceptual and logical data models. Create flowcharts to visualize data processes. Performance Optimization : Continuously improve system performance by conducting tests and troubleshooting. Integrate new elements to enhance efficiency. Security and Collaboration : Define security procedures for data access and management. Collaborate with the Data Science department to identify future needs and requirements. Data Strategy Development : Strategic Thinking : Experience on understanding the client requirement, defining & implementing data strategy aligned with organizational goals. Data Governance :Establish policies and procedures for data management, quality, and compliance. Data Lifecycle Management :Define data lifecycle stages from creation to archival. Qualifications Qualifications To excel in this role, you should have: Minimum 5-8 years of experience in data architecture, data analysis, and database design/maintenance. Expertise in data modeling , ensuring efficient and scalable structures. Strong knowledge of SQL , database management systems (DBMS) , and cloud technologies . Familiarity with ETL toolsets and real-time data integration techniques . Experience with data visualization tools such as Tableau, D3.js, and R (highly desirable). Must have Expertise on cloud platforms such as Amazon Web Services (AWS) , Microsoft Azure , or Google Cloud Platform (GCP) . Ability to deploy and manage databases in the cloud. Good to have u nderstanding of artificial intelligence concepts, including machine learning, natural language processing, and predictive analytics.Experience with AI frameworks like TensorFlow or PyTorch is an added advantage . Desired Skills Apart from technical qualifications, a successful Data Architect should possess: Strong analytical skills :Ability to dissect complex problems and find effective solutions. Problem-solving attitude :Tackle challenges head-on and propose innovative approaches. Degree in Computer Science or a related field. Join our dynamic team and contribute to our organization’s success through impactful data architecture! Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

Entity :- Accenture Strategy & Consulting Team :- Global Network – Data & AI Practice :- Product Engineering Title :- Ind & Func AI Value Strategy Consultant Job location :- Bengaluru/Gurgaon/Mumbai/Pune/Hyderabad About S&C - Global Network :- Accenture 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. WHAT'S IN IT FOR YOU? A Data Architect is a professional who specializes in developing and optimizing database models to store and retrieve company information. They play a crucial role in designing and maintaining data architecture, ensuring data integrity, security, and efficient storage. If you're passionate about data and have the expertise to shape robust data solutions, this role might be a great fit for you. Responsibilities As a Data Architect, your responsibilities will include: Developing Database Solutions : Create and optimize database structures to efficiently store and retrieve company data. Implement data migration strategies when transitioning to new systems. Collaborate with IT teams to set up databases and related tools. Structural Requirements Analysis : Analyze structural requirements for new software and applications. Understand business needs and translate them into effective data models. Data Migration : Migrate data from legacy systems to modern solutions. Ensure smooth data transition without compromising integrity. Data Model Design : Design conceptual and logical data models. Create flowcharts to visualize data processes. Performance Optimization : Continuously improve system performance by conducting tests and troubleshooting. Integrate new elements to enhance efficiency. Security and Collaboration : Define security procedures for data access and management. Collaborate with the Data Science department to identify future needs and requirements. Data Strategy Development : Strategic Thinking : Experience on understanding the client requirement, defining & implementing data strategy aligned with organizational goals. Data Governance :Establish policies and procedures for data management, quality, and compliance. Data Lifecycle Management :Define data lifecycle stages from creation to archival. Qualifications Qualifications To excel in this role, you should have: Minimum 5-8 years of experience in data architecture, data analysis, and database design/maintenance. Expertise in data modeling , ensuring efficient and scalable structures. Strong knowledge of SQL , database management systems (DBMS) , and cloud technologies . Familiarity with ETL toolsets and real-time data integration techniques . Experience with data visualization tools such as Tableau, D3.js, and R (highly desirable). Must have Expertise on cloud platforms such as Amazon Web Services (AWS) , Microsoft Azure , or Google Cloud Platform (GCP) . Ability to deploy and manage databases in the cloud. Good to have u nderstanding of artificial intelligence concepts, including machine learning, natural language processing, and predictive analytics.Experience with AI frameworks like TensorFlow or PyTorch is an added advantage . Desired Skills Apart from technical qualifications, a successful Data Architect should possess: Strong analytical skills :Ability to dissect complex problems and find effective solutions. Problem-solving attitude :Tackle challenges head-on and propose innovative approaches. Degree in Computer Science or a related field. Join our dynamic team and contribute to our organization’s success through impactful data architecture! Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

The Data Analyst role involves working with relevant technologies, ensuring smooth operations, and contributing to business objectives. Responsibilities include analysis, development, implementation, and troubleshooting within the Data Analyst domain.

The Data Analyst role involves working with relevant technologies, ensuring smooth operations, and contributing to business objectives. Responsibilities include analysis, development, implementation, and troubleshooting within the Data Analyst domain.

Essential Functions As a Sr Data / ML Scientist you will help design, enhance, and build next generation fraud detection solutions in an agile development environment. Formulate business problems as technical data problems while ensuring key business drivers are captured in collaboration with product stakeholders. Work with software engineers to ensure feasibility of solutions. Deliver prototypes and production code based on need. Experiment with in-house and third-party data sets to test hypotheses on relevance and value of data to business problems. Build needed data transformations on structured and un-structured data. Build and experiment with modeling and scoring algorithms. This includes development of custom algorithms as well as use of packaged tools based on machine learning, data mining and statistical techniques. Devise and implement methods for adaptive learning with controls on effectiveness, methods for explaining model decisions where necessary, model validation, A/B testing of models. Devise and implement methods for efficiently monitoring model effectiveness and performance in production. Devise and implement methods for automation of all parts of the predictive pipeline to minimize labor in development and production. Contribute to development and adoption of shared predictive analytics infrastructure. Mentor and train other ML scientists on the team on key solutions Able to work on multiple projects and initiatives with different/competing timelines and demands. Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner Basic Qualifications: 3+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience Preferred Qualifications: MS in Computer Science or related field 3+ years of experience as Data

The Data Analyst role involves working with relevant technologies, ensuring smooth operations, and contributing to business objectives. Responsibilities include analysis, development, implementation, and troubleshooting within the Data Analyst domain.

As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another Document solution architectures, design decisions, implementation details, and lessons learned. Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Preferred technical and professional experience Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus Demonstrate a growth mindset to understand clients' business processes and challenges

Role: Specialist- Data Analysis Location: Chennai Education: BE / BTech(any stream except IT & CS) Job purpose : To support Globally to enhance the working condition of all the Windfarms in Services. Analyzing of Business data. Predictive to Prevent the failures in the Turbines Key accountabilities / Responsibilities: Tracking of incidents to support the regions in predictive maintenance and to follow up with regions to close feedback loop Evaluation of predictive monitors using scoring methodologies Implementation and regular interpretation of operational KPIs to measure alert handling in regions Operate predictive monitors by reviewing alerts and conducting quality checks. Support on data topics like master data and reporting of data gaps Ticket handling focusing on data gathering, analysis and interpreting key business data set Career / Job experience Information about the career or job experience required for the position. Minimum 6-7 Years Data Analysis Wind industry or Renewable is added advantage Strong organizational and time management skills with the ability to prioritize tasks effectively Strong multitasking skills Good stakeholder management, excellent communication and interpersonal skills to collaborate with internal and external stakeholders Skills: R/Python programming, SQL, implementing and maintaining data analysis solutions

Warm Greetings from Dataceria Software Solutions Pvt Ltd . We are Looking For: Senior Data Scientist Immediate joiners send your resume to carrers@dataceria.com: -------------------------------------------------------------------------------------------------------------- We are seeking a highly skilled Senior Data Scientist to lead the development of classification models and customer segmentation strategies for a major investment bank. This role is central to profiling the existing client base on legacy infrastructure and supporting business stakeholders in defining clear migration paths to modern platforms such as Data Mesh. Responsibilities: Lead the design and implementation of classification models to categorize clients based on product usage, service engagement, and behavioral patterns. Develop robust customer segmentation strategies to support personalization and migration strategies. Collaborate closely with stakeholders across business and technology to understand legacy data landscapes and future-state architecture. Oversee and mentor a small team of data scientists and analysts. Conduct advanced analysis using Python and SQL; apply machine learning techniques for predictive insights. Translate complex data findings into clear business narratives and actionable outcomes. What we're looking for in our applicants: 8+ years of experience in data science, preferably in financial services or investment banking . Proven expertise in machine learning, particularly classification and clustering models. Advanced proficiency in Python ( Pandas, Scikit-learn, etc.) and SQL. Experience leading technical teams or mentoring junior data professionals. Strong understanding of client lifecycle in financial institutions and regulatory considerations. Familiarity with data migration strategies and legacy modernization projects is a plus. ---------------------------------------------------------------------------------------------------------------------------------------------------- Joining: Immediate Work location: Pune (hybrid). Open Positions: Senior Data Scientist If interested, please share your updated resume to carrers@dataceria.com: We welcome applications from skilled candidates who are open to working in a hybrid model. Candidates with less experience but strong technical abilities are also encouraged to apply. ----------------------------------------------------------------------------------------------------- Thanks, Dataceria Software Solutions Pvt Ltd Follow our LinkedIn for more job openings : https://www.linkedin.com/company/dataceria/ Email : careers@dataceria.com ------------------------------------------------------------------------------------------------------

Global Solution Engineer - Operations Dont miss this opportunity to be part of the world-class 24*7 Global Solution Control and Command Center (GSCCC) coming up at Gurgaon, India- to transform the UOP LST Connected Solutions. It is a time to put your Technical Analytical Data Science, Machine learning, and business knowledge skills to extract technical insights from Customers live operating data. The work done in assembling and developing technical insights will help define the UOP Customer Experience and be the next critical milestone for your career. You will be an integrated network of technical professionals working together to provide outstanding technical insights. Customer Value is the GSCs key result to ensure we generate relevant insights from the extracted data for improved outcomes. Job Description: Be agile, innovating, and customer focused. Review operations with customers and assisting with defining and quantifying customer benefits Monitoring different UOP technologies process and identifying areas for improvement/optimization and assets requiring enhanced focus. Provide readily available technical solutions/ work to get the solution to our customers. Initial triage of technical issues with the escalation process to TS. Proactively communicate insights from trends, establish patterns, diagnostic investigations, and solutions to prevent future issues. Ensure upkeep of all solutions by troubleshooting the PM/PTA/PRA/POA/Benchmarking /Future Solutions on time to ensure high on-screen availability of the running solutions Apply data mining to handle unstructured data to derive technical insights. Perform descriptive and inferential statistics to summarize datasets. Derive problem statement from ambiguous data, create a hypothesis, use analytics technology and tools to test hypothesis and form conclusions Analysis of large amounts of historical data, determining suitability for modeling, data clean-up and filtering, pattern identification and variable creation, applying automated predictive analytics. The focus is to support product, system, and solution through designing and developing pipelines. Work with the team to innovate - next-generation BIG DATA monitoring tools (Analytics using exception-based /Artificial Intelligence/Machine Learning) and build an operation dashboard for the GSCs sustainability & efficient operation. Align with the Intention of the LST Business and ensure collective commitment for the GSCs Key results. Part of 24* 7 Operation of GSCCC Digital Insight Working in 24*7 Shift is an integral part of this role. Work with GSCCC Operation leader closely to make GSC as Center of Excellence Additional Candidate Qualifications: Passion for visualizing hidden relationships in technical data with ProSight Excellent verbal, written, interpersonal communication & effective presentation skills English language (oral and written) Ability to multi-task Be flexible to come in shift as a replacement in short notice Effective presentation, and communication skills Continuous learning and research-oriented mindset. Ability to think out of the box: Ability to come up with bright ideas and always looking at the next big thing in technology. Have strong analytical skills; be able to interpret data, identify trends, and make suggestions for improvements Knowledge of DataScience Open Source is added plus. Proficiency in computer applications with emphasis on Data Analytics & Data Science is desirable Creative approach to process development and customer-centric behavior Comprehensive analytical, troubleshooting & problems solving skills. Ability to work independently and in a team environment, focusing strongly on delivering SMART data results and identifying alternative solutions when challenges arise from unstructured data. Ability to define the problem with limited information This role may require global customer-facing and internal/external travel, up to 10% of the time. BS degree in Chemical Engineering

Dont miss this opportunity to be part of the world-class 24*7 Global Solution Control and Command Center (GSCCC) coming up at Gurgaon, India- to transform the UOP LST Connected Solutions. It is a time to put your Technical Analytical Data Science, Machine learning, and business knowledge skills to extract technical insights from Customers live operating data. The work done in assembling and developing technical insights will help define the UOP Customer Experience and be the next critical milestone for your career. You will be an integrated network of technical professionals working together to provide outstanding technical insights. Customer Value is the GSCs key result to ensure we generate relevant insights from the extracted data for improved outcomes. Job Description: Be agile, innovating, and customer focused. Review operations with customers and assisting with defining and quantifying customer benefits Monitoring different UOP technologies process and identifying areas for improvement/optimization and assets requiring enhanced focus. Provide readily available technical solutions/ work to get the solution to our customers. Initial triage of technical issues with the escalation process to TS. Proactively communicate insights from trends, establish patterns, diagnostic investigations, and solutions to prevent future issues. Ensure upkeep of all solutions by troubleshooting the PM/PTA/PRA/POA/Benchmarking /Future Solutions on time to ensure high on-screen availability of the running solutions Apply data mining to handle unstructured data to derive technical insights. Perform descriptive and inferential statistics to summarize datasets. Derive problem statement from ambiguous data, create a hypothesis, use analytics technology and tools to test hypothesis and form conclusions Analysis of large amounts of historical data, determining suitability for modeling, data clean-up and filtering, pattern identification and variable creation, applying automated predictive analytics. The focus is to support product, system, and solution through designing and developing pipelines. Work with the team to innovate - next-generation BIG DATA monitoring tools (Analytics using exception-based /Artificial Intelligence/Machine Learning) and build an operation dashboard for the GSCs sustainability & efficient operation. Align with the Intention of the LST Business and ensure collective commitment for the GSCs Key results. Part of 24* 7 Operation of GSCCC Digital Insight Working in 24*7 Shift is an integral part of this role. Work with GSCCC Operation leader closely to make GSC as Center of Excellence Additional Candidate Qualifications: Passion for visualizing hidden relationships in technical data with ProSight Excellent verbal, written, interpersonal communication & effective presentation skills English language (oral and written) Ability to multi-task Be flexible to come in shift as a replacement in short notice Effective presentation, and communication skills Continuous learning and research-oriented mindset. Ability to think out of the box: Ability to come up with bright ideas and always looking at the next big thing in technology. Have strong analytical skills; be able to interpret data, identify trends, and make suggestions for improvements Knowledge of DataScience Open Source is added plus. Proficiency in computer applications with emphasis on Data Analytics & Data Science is desirable Creative approach to process development and customer-centric behavior Comprehensive analytical, troubleshooting & problems solving skills. Ability to work independently and in a team environment, focusing strongly on delivering SMART data results and identifying alternative solutions when challenges arise from unstructured data. Ability to define the problem with limited information This role may require global customer-facing and internal/external travel, up to 10% of the time. Basic Candidate Qualification: BS degree in Chemical Engineering

Develop and execute RChilli s AI strategy aligned with business goals. Ensure ethical AI implementation and compliance with industry regulations. Be a change leader in adopting AI across the company. AI-Driven Product Innovation Lead AI research & development for NLP, machine learning, and predictive analytics. Implement AI for automated job descriptions, resume scoring, and candidate recommendations. Oversee AI-powered chatbots, workforce planning, and predictive retention models. Identify opportunities for AI implementation, including: Automated calls for candidate screening, interview scheduling, and feedback collection. AI-powered report generation for HR analytics, performance tracking, and compliance. AI-based note-taking and meeting summarization for enhanced productivity. Technology & Infrastructure Define and implement a scalable AI roadmap. Manage AI infrastructure, data lakes, ETL processes, and automation. Oversee data lakes and ETL tools such as Airflow and NiFi for efficient data management. Ensure robust data engineering and analysis frameworks. Generative AI, Conversational AI & Transformative AI Apply Generative AI for automating job descriptions, resume parsing, and intelligent recommendations. Leverage Conversational AI for chatbots, virtual assistants, and AI-driven HR queries. Utilize Transformative AI for workforce planning, sentiment analysis, and predictive retention models. Tool Identification & Implementation Identify business requirements and assess third-party AI tools available in the market. Implement and integrate AI tools to enhance operations and optimize business processes. Business Integration & Operations Collaborate with cross-functional teams to integrate AI into HRTech solutions. Understand and optimize business processes for AI adoption. Align AI-driven processes with business efficiency and customer needs. Leadership & Talent Development Build and mentor an AI team, fostering a culture of innovation. Promote AI literacy across the organization. Industry Thought Leadership Represent RChilli in AI forums, conferences, and industry partnerships. Stay ahead of AI trends and HRTech advancements. Required Skills & Qualifications: Technical Skills: Master s/Ph.D. in Computer Science, AI, Data Science, or related field. 10+ years of experience in AI/ML, with 5+ years in leadership roles. Expertise in NLP, machine learning, deep learning, and predictive analytics. Experience in AI ethics, governance, and compliance frameworks. Strong proficiency in AI infrastructure, data engineering, and automation tools. Understanding of data lakes, ETL processes, Airflow, and NiFi tools. Clear concepts in data engineering and analysis. Leadership & Business Skills: Strategic thinker with the ability to align AI innovation with business goals. Excellent communication and stakeholder management skills. Experience in building and leading AI teams.

Performing factor, strategy, portfolio construction and risk model related research projects Ensure collected data is prepared for cleansing and factor analysis Analysing and interpreting data to identify trends and patterns Results interpretation, presentation of results to the team, and refinement of models based on feedback given. Running scripts / process for existing quants models Manager Selection Portfolio construction Reporting – assimilation of data and preparation of decks Tech Stack – R / Python + SQL Dashboards + website – UX / UI – React / Java Script / HTML +

Person at this position takes ownership of a module and associated quality and delivery. Person at this position provides instructions, guidance and advice to team members to ensure quality and on time delivery. Person at this position is expected to be able to instruct and review the quality of work done by technical staff. Person at this position should be able to identify key issues and challenges by themselves, prioritize the tasks and deliver results with minimal direction and supervision. Person at this position has the ability to investigate the root cause of the problem and come up alternatives/ solutions based on sound technical foundation gained through in-depth knowledge of technology, standards, tools and processes. Person has the ability to organize and draw connections among ideas and distinguish between those which are implementable. Person demonstrates a degree of flexibility in resolving problems/ issues that atleast to in-depth command of all techniques, processes, tools and standards within the relevant field of specialisation. Roles & Responsibilities Responsible for requirement analysis and feasibility study including system level work estimation while considering risk identification and mitigation. Responsible for design, coding, testing, bug fixing, documentation and technical support in the assigned area. Responsible for on time delivery while adhering to quality and productivity goals. Responsible for traceability of the requirements from design to delivery Code optimization and coverage. Responsible for conducting reviews, identifying risks and ownership of quality of deliverables. Responsible for identifying training needs of the team. Expected to enhance technical capabilities by attending trainings, self-study and periodic technical assessments. Expected to participate in technical initiatives related to project and organization and deliver training as per plan and quality. Expected to be a technical mentor for junior members. Person may be given additional responsibility of managing people based on discretion of Project Manager. Education and Experience Required Engineering graduate, MCA, etc Experience: 5-8 years Competencies Description Data Science TCB is applicable to one who 1) Analyses data to arrive at patterns/Insights/models 2) Come up with models based on the data to provide recommendations, predictive analytics etc 3) Provides implementation of the models in R, Matlab etc 4) Can understand and apply machine learning/AI techniques Platforms- Unix Tools- R, Matlab, Spark Machine Learning, Python-ML, SPSS, SAS Languages- R, Perl, Python, Scala Specialization- COGNITIVE ANALYTICS INCLUDING COMPUTER VISION, AI and ML, STATISTICS

You will: - Work closely with marketing, growth strategy and sales teams based out of our offices in USA, UK, Germany - Develop re-usable tools and templates to quickly create data-driven narratives - Gather requirements, design analyses, identify data sources and define measurement metrics to present insights and recommendations for ready consumption - Be responsible for managing your work pipeline and creating re-usable analysis and documentation You have: - BA/BSc/B.E./BTech/M.tech degree in Computer Science, Statistics, Mathematics, Economics, Physics or related fields - Experience in working with data and conducting statistical and/or numerical analysis - Strong understanding of how data can be stored and accessed in different structures - Experience with writing computer programs to solve problems - Strong understanding of data operations such as sub-setting, sorting, merging, aggregating and CRUD operations - Ability to write SQL code and familiarity with R/Python, Linux shell commands - Be willing and able to quickly learn about new businesses, database technologies and analysis techniques - Ability to tell a good story and support it with numbers and visuals - Strong oral and written communication