Hiring Contact Centre Manager to join our team at P Square Solutions (part of Neology Inc www.neology.com) Number of Open Positions: 1 Experience: 6 to 10 years. Industry: IT Product & Services and IT Consulting. Employment: Type Full-time. Work Location: Smart City, Kochi, Kerala. Shift timing based on projects - Night Shift. Role Description This position is responsible for supervising staff answering routine customer (telephone, case and image review) inquiries in a professional, customer-oriented manner and image review processing by following standard procedures. Position provides daily management of operations team to include directing, motivating, recognizing and rewarding, coaching, counseling, training, and problem solving through the utilization of resources and other data available. Must have an ongoing knowledge of the company policies/guidelines as directed by management; and remain flexible and willing to adjust to other duties of the CSC based on business needs. Other duties include notice to quality review, image review, and customer case management. Technical Competencies This position includes, but is not limited to, the following functions:. Motivates and develops a team of customer resolution clerks. Assists with training and mentoring of customer resolution clerks. Answers incoming calls and cases and makes necessary follow-up outbound calls. Documents phone calls and actions in the database. Receives and processes account update requests from inbound phone calls and mail, as directed. Records individual completed daily work statistics and identifies call, case, and image review trends. Makes outbound calls when requested. Performs quality review activities. Supervises and performs image review when required. Knowledgeable in processing toll transactions and video bills in the system; receives, processes, and deposits payments; updates accounts and video bills as to their status; and opens new accounts. Researches and resolves customer issues. Processes and fills out multiple types of forms. Responds to and generates correspondence via fax, mail, and email. Negotiates payments and fee reductions up to their established limits. Performs data entry. Troubleshoots situations accurately, quickly, and efficiently for customers on the phone. Maintains an above-average attendance record. Performs other tasks as assigned. Must possess strong computer skill sets with emphasis on MS-Office products such as Excel and Word. Soft Skill Competencies Excellent communication skills. Excellent problem-solving abilities. Strong leadership skill to motivate, mentor, guide and support team. Critical thinking and stress management ablities. Strong process, analytical, and organizational skills. Demonstrated productivity in a team environment, focusing on customer satisfaction. Highly developed sense of integrity and commitment to operational excellence. Any Other Competencies Proficiency in Spanish is good to have. 4 years of related experience as a Call Center Supervisor; or equivalent combination of education and experience. C1 Advanced English proficiency (written/spoken). (ref:iimjobs.com) Show more Show less

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Hyderabad, Telangana, India; Bengaluru, Karnataka, India; Gurugram, Haryana, India . Minimum qualifications: Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience. 6 years of experience working with client-side web technologies (e.g., HTML, CSS, JavaScript, or HTTP). 6 years of experience coding with one or more programming languages (e.g., Java, C/C++, Python). Experience troubleshooting technical issues for internal/external partners or customers. Preferred qualifications: Master’s degree in Engineering, Computer Science, Business, or a related field. Experience in an analytical role such as business intelligence, data analytics, or statistics. Experience working with database technologies (e.g., SQL, NoSQL). Experience partnering/working with cross-functional stakeholders in an organization and translating technical concepts and solutions to non-technical and executive audiences. About The Job gTech Ads is responsible for all support and media and technical services for customers big and small across our entire Ad products stack. We help our customers get the most out of our Ad and Publisher products and guide them when they need help. We provide a range of services from enabling better self help and in-product support, to providing better support through interactions, setting up accounts and implementing ad campaigns, and providing media solutions for customers business and marketing needs and providing complex technical and measurement solutions along with consultative support for our large customers. These solutions range from bespoke and customized ones for our customers to scalable support for millions of customers worldwide. Based on the evolving needs of our ads customers, we partner with Sales, Product and Engineering teams within Google to develop better solutions, tools, and services to improve our products and enhance our client experience. As a cross-functional and global team, we ensure our customers get the best return on investment with Google and we remain a trusted partner. In this role, you will join the Ads Solutions Engineering team power Customer growth and excellent Ads experiences at scale by creating innovative engineering solutions for both Large Customer Sales and Google Customer Solutions customers and partners. You will build platforms to help deliver solutions with agility and efficiency, for both central and regional gTech Ads teams and automate workflows that are critical to customer facing deliverables and externalizing tech and media solutions for amplified reach. Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products. To learn more about gTech, check out our video . Responsibilities Set the technical foundations and develop the necessary platforms and components for both Ads Solutions Engineering and regional teams to efficiently build and deliver customer solutions. Design and build technical platforms to support gTech Ads teams in developing customer solutions efficiently and compliantly. Work with regional and global teams to understand their needs to identify areas for improvement on our existing platforms. Build automation tools that help gTech Ads teams perform their work more efficiently, with a focus on customer deliverables. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form . Show more Show less

We are looking for a ‘Data Scientist’ to join our Technology team at Clarivate. You will get the opportunity to work on interesting IP data and interesting challenges to create insights and drive business acumen to add value to our world class products and services About You – Experience, Education, Skills, And Accomplishments Advanced degree in Computer Science, Statistics, Engineering, Physics, Mathematics, or other quantitative majors, or equivalent work experience. Atleast 2 years of industry experience in the application of ML and NLP Excellent understanding of ML, NLP, and statistical methodologies in a data analytics environment Good programming skills (Python, Java, R or C++) It would be great if you have, Experience with large language model Ability to test ideas and adapt methods quickly end to end from data extraction to implementation and validation Experience with search engines, classification algorithms, recommendation systems, and relevance evaluation methodologies What will you be doing in this role? Researches and identifies Machine Learning (ML) and Natural Language Processing (NLP) methods and algorithms to solve specific problems to improve user experience on IP & Science data and websites Implements these methods and devises appropriate test plans to validate and compare the different approaches Identifies new applications of ML and NLP in the context of Clarivate Analytics extensive sets of content and data Explores existing data for insights and recommends additional sources of data for improvements About The Team You would be part of our incredible data science team of Intellectual property (IP) group & work closely with product and technology teams spreads across various locations worldwide. Hours of Work This is a permanent position with Clarivate.9 hours per day including lunch break. you should be flexible with working hours to align with globally distributed teams and stakeholders. At Clarivate, we are committed to providing equal employment opportunities for all qualified persons with respect to hiring, compensation, promotion, training, and other terms, conditions, and privileges of employment. We comply with applicable laws and regulations governing non-discrimination in all locations. Show more Show less

Minimum qualifications: Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree. Preferred qualifications: 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree. Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data. About The Job At Google, data drives all of our decision-making. Quantitative Analysts work all across the organization to help shape Google's business and technical strategies by processing, analyzing and interpreting huge data sets. Using analytical excellence and statistical methods, you mine through data to identify opportunities for Google and our clients to operate more efficiently, from enhancing advertising efficacy to network infrastructure optimization to studying user behavior. As an analyst, you do more than just crunch the numbers. You work with Engineers, Product Managers, Sales Associates and Marketing teams to adjust Google's practices according to your findings. Identifying the problem is only half the job; you also figure out the solution. The team's mission is to protect Android users from abusive apps, including malware, content abuse, impersonation, and behavioral abuse. As a Data Scientist on the App Safety Engineering (ASE) team, you will work with multiple stakeholders across product, engineering, and operation teams to conduct data research, build methodologies into production systems to drive ASE key decisions and development. You will be responsible for translating data into recommendations and implementing process improvements. Responsibilities Work with datasets, solve non-routine analysis problems, and apply quantitative methods as needed. Conduct analysis that includes data gathering and requirements specification, processing, analysis, model development and evaluation, as well as written and verbal delivery of results to business partners. Collaborate with stakeholders in Product Management, Engineering, and Operation teams to define questions, objectives, and metrics, identify and implement quantitative methods to answer those questions. Develop, own, and evolve methodologies and frameworks providing a source of truth measures for the organization. Establish comprehensive understanding of the production systems, advocate for changes where needed for product development, and build data driven solutions to faciliate the efficacy improvement. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form . Show more Show less

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Hyderabad, Telangana, India; Bengaluru, Karnataka, India; Gurugram, Haryana, India . Minimum qualifications: Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience. 6 years of experience working with client-side web technologies (e.g., HTML, CSS, JavaScript, or HTTP). 6 years of experience coding with one or more programming languages (e.g., Java, C/C++, Python). Experience troubleshooting technical issues for internal/external partners or customers. Preferred qualifications: Master’s degree in Engineering, Computer Science, Business, or a related field. Experience in an analytical role such as business intelligence, data analytics, or statistics. Experience working with database technologies (e.g., SQL, NoSQL). Experience partnering/working with cross-functional stakeholders in an organization and translating technical concepts and solutions to non-technical and executive audiences. About The Job gTech Ads is responsible for all support and media and technical services for customers big and small across our entire Ad products stack. We help our customers get the most out of our Ad and Publisher products and guide them when they need help. We provide a range of services from enabling better self help and in-product support, to providing better support through interactions, setting up accounts and implementing ad campaigns, and providing media solutions for customers business and marketing needs and providing complex technical and measurement solutions along with consultative support for our large customers. These solutions range from bespoke and customized ones for our customers to scalable support for millions of customers worldwide. Based on the evolving needs of our ads customers, we partner with Sales, Product and Engineering teams within Google to develop better solutions, tools, and services to improve our products and enhance our client experience. As a cross-functional and global team, we ensure our customers get the best return on investment with Google and we remain a trusted partner. In this role, you will join the Ads Solutions Engineering team power Customer growth and excellent Ads experiences at scale by creating innovative engineering solutions for both Large Customer Sales and Google Customer Solutions customers and partners. You will build platforms to help deliver solutions with agility and efficiency, for both central and regional gTech Ads teams and automate workflows that are critical to customer facing deliverables and externalizing tech and media solutions for amplified reach. Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products. To learn more about gTech, check out our video . Responsibilities Set the technical foundations and develop the necessary platforms and components for both Ads Solutions Engineering and regional teams to efficiently build and deliver customer solutions. Design and build technical platforms to support gTech Ads teams in developing customer solutions efficiently and compliantly. Work with regional and global teams to understand their needs to identify areas for improvement on our existing platforms. Build automation tools that help gTech Ads teams perform their work more efficiently, with a focus on customer deliverables. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form . Show more Show less

Key Responsibilities Design, develop, and maintain robust .NET-based full stack applications. Optimize database performance through activities such as indexing, statistics management, and query tuning. Develop and enhance stored procedures, triggers, views, and complex SQL queries. Perform performance tuning and database optimization for both SQL Server and PostgreSQL environments. Work on provisioning, configuration, and maintenance of databases in stand-alone, on-premise, and cloud environments including Azure SQL and Cloud SQL. Collaborate closely with the application development team to improve backend performance and database integration. Act as a technical liaison with clients and stakeholders, addressing and resolving database-related performance challenges and operational issues. Maintain clear documentation and follow best practices in both software and database Skills & Qualifications : Minimum 6 years of experience in full stack .NET development with strong backend/database expertise. Proficiency in SQL Server and PostgreSQL. Strong understanding of performance optimization, including query tuning, indexing, execution plans, and database profiling. Experience with stored procedures, complex SQL queries, and backend integration. Hands-on experience with Azure SQL, Cloud SQL, and on-premise databases. Familiarity with working in environments that require close coordination with application developers. Excellent communication skills, with the ability to interact directly with clients and handle stakeholder expectations effectively. Ability to work independently in a remote setting while meeting project deadlines and quality Qualifications : Experience with modern frontend frameworks like Angular, React, or Blazor. Familiarity with CI/CD pipelines and DevOps for database deployment. Exposure to performance monitoring tools and logging frameworks. (ref:hirist.tech) Show more Show less

Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences. We’re passionate about empowering people to craft beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to building exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity Love to innovate while helping customers meet their business goals? The Customer Journey Analytics (CJA) Business Consultant is a customer-facing team member requiring extensive digital marketing and analytical skills. Business Consultant works to gather and understand their customers’ business goals. In addition, consultants help their customers realize product value by performing analyses, highlighting key insights and opportunities, providing specific direction to improve business metrics and KPIs. They also help develop customer analysis and optimization teams, provide ad hoc enablement, build analytic/CJA reporting and dashboards as needed, and help Adobe customers develop their analytics strategy, governance, and operations. What you'll Do Develop relationships at all levels within client digital marketing and other teams and maintain regular and appropriate communication with them. Gain an in-depth knowledge of a client’s business model and online marketing strategy and drive digital marketing success rooted in customer's business drivers. Support customer discovery sessions and help guide client's use cases, business requirements and key performance indicators, and assist as part of a team to deliver against those objectives. Support internal technical consultants, client's developers and third parties throughout the implementation of Customer journey Analytics (CJA) process from a business perspective Understands the importance of identities in CJA set up and is able to guide the technical team on requirements pertaining to identities. Create CJA connections and data views and understands the nuances of their Creation and Configuration Able to manage CJA connections and data transformation in CJA Data-view using friendly UI Support clients in their reporting, dash-boarding and ad-hoc analysis requirements Provide measurable insights and recommendations to improve business and marketing strategies. Help customers further understand and fully product capabilities and the transformative power of digital marketing. Analyze marketing campaign attribution and provide recommendation for optimizing marketing spend Conduct regular readouts to showcase value generated and guide customer on future roadmap Lead multiple client engagements at a time and establish expectations appropriately to keep projects on schedule and within scope. Engage directly with customers via meetings, phone, email, and/or in-person through the project lifecycle. Including interaction with marketers, analysts, web developers, partners and executives. Become an authority in the use of Customer Journey Analytics (CJA) products and the methods by which they can be used to efficiently to optimize online businesses. Create thought leadership, write blogs, build training videos to enable Adobe and customers. Elevate and encourage fellow team members through caring, effective leadership, regular shared feedback, and mutual mentoring; drive continuous improvements in our ways of working. Keep accurate daily and weekly records of client billable time. What you need to succeed 10+ years’ experience in digital analytics or a related field At least 4 year of Previous experience working with Adobe Analytics or similar tools Experience of working with Adobe Experience Platform to set up Customer journey Analytics connections and data views. Primary knowledge of SQL queries for validation Proven experience with customer and digital marketing data and segmentation opportunities, and various measurement and analysis techniques and technologies. Solid grasp of how web sites work to increase customer acquisition, loyalty and business metrics. Understanding of other data storage, modeling, and analysis packages (R, Python, or SPSS, etc.) will be an added advantage. Self-motivated, responsive, professional and dedicated to customer success. Exceptional interpersonal, presentation, and soft skills – both verbal and written Ability to learn quickly, be an excellent teammate, and handle change efficiently Bachelor’s degree or equivalent work experience Special Consideration given for: Experience and expertise with Adobe Experience Cloud solutions Web and mobile app analytics functional experience Deep vertical industry experience Master’s-level studies in e-business, digital marketing, statistics and relevant analytics fields, or digital transformation. At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely. If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer. Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, or veteran status. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more about our vision here. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015. Show more Show less

Job Description Translate complex business problems into data science solutions and articulate the value and limitations of these solutions to non-technical stakeholders. Develop, deploy, and monitor predictive models, statistical analyses, and optimization algorithms. Work hands-on with large datasets: cleaning, transforming, and analysing to extract actionable insights. Collaborate with cross-functional teams including Business, Product, Engineering, and Operations to ensure data science outputs are actionable and aligned with strategic goals. Present findings and recommendations to senior leadership in a clear and compelling manner. Continuously validate and improve models based on real-world feedback and changing business needs. Leverage Microsoft ecosystem tools (Azure ML, Power BI, SQL Server, Excel, etc.) extensively for data preparation, model development, deployment, and visualization. Key Skills & Competencies 5+ years of experience in data science, machine learning, or advanced analytics roles. Proficiency in Python for data analysis and machine learning. Strong working knowledge of Microsoft technologies : Azure Data Services (Azure ML, Azure Data Factory, Azure Synapse). Power BI for data visualization (optional). Microsoft SQL Server and Azure SQL Database. Advanced Excel (Power Query, Power Pivot). Solid understanding of a range of machine learning techniques (classification, regression, clustering, recommendation systems, etc.) and their real-world trade-offs. Strong business acumen with the ability to contextualize technical outputs into strategic business insights. Excellent communication skills (written and verbal) with the ability to influence decision-making. Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, Statistics, Engineering, or a related field. (ref:hirist.tech) Show more Show less

Responsibilities Translate complex business problems into data science solutions and articulate the value and limitations of these solutions to non-technical stakeholders. Develop, deploy, and monitor predictive models, statistical analyses, and optimization algorithms. Work hands-on with large datasets : cleaning, transforming, and analysing to extract actionable insights. Collaborate with cross-functional teams, including Business, Product, Engineering, and Operations, to ensure data science outputs are actionable and aligned with strategic goals. Present findings and recommendations to senior leadership clearly and compellingly. Continuously validate and improve models based on real-world feedback and changing business needs. Leverage Microsoft ecosystem tools (Azure ML, Power BI, SQL Server, Excel, etc. ) extensively for data preparation, model development, deployment, and visualization. Requirements 5+ years of experience in data science, machine learning, or advanced analytics roles. Proficiency in Python for data analysis and machine learning. Strong working knowledge of Microsoft technologies : Azure Data Services (Azure ML, Azure Data Factory, Azure Synapse), Power BI for data visualization (optional), Microsoft SQL Server, and Azure SQL Database, Advanced Excel (Power Query, Power Pivot). Solid understanding of a range of machine learning techniques (classification, regression, clustering, recommendation systems, etc. ) and their real-world trade-offs. Strong business acumen with the ability to contextualize technical outputs into strategic business insights. Excellent communication skills (written and verbal) with the ability to influence decision-making. Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, Statistics, Engineering, or a related field. (ref:hirist.tech) Show more Show less

Job Description We are seeking a highly skilled Machine Learning Engineer to join our dynamic team. The ideal candidate will have a proven track record of developing and deploying machine learning models in production that drive significant business impact. With a passion for data science and a competitive edge demonstrated through Kaggle rankings, you will play a crucial role in advancing our Machine Learning initiatives. What You Will OWN Design, develop, and deploy machine learning models to enhance customer loyalty and engagement. Collaborate with cross-functional teams to understand business needs and translate them into technical solutions. Conduct data exploration and feature engineering to improve model performance. Stay abreast of the latest machine learning techniques and technologies, applying them to solve challenging problems. Evaluate and monitor model performance, making iterative improvements to achieve business objectives. You would make a GREAT FIT if you have : Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. Minimum of 5 years of experience in building and deploying machine learning models. Strong proficiency in programming languages such as Python or R. Experience with machine learning frameworks (e., TensorFlow, PyTorch) and libraries (e., scikit-learn, pandas). Knowledge on cloud computing services (e., AWS, Google Cloud, Azure) and their machine learning offerings. Proven track record on Kaggle(or similar) with a high ranking, demonstrating expertise in data science competitions. Experience with deep learning/Neural networks (nice to have). Ability to work in a fast-paced, agile development environment. Passion for innovation and a desire to stay at the cutting edge of machine learning and data science. Experience with building and deploying ML models in production. Excellent analytical and problem-solving skills. Strong communication and collaboration skills. Knowledge of reinforcement learning and recommendation systems Nice to have. Why should you consider us? Opportunity to Innovate with and Learn from a World-class technology team. Dabble into the future of technology Enterprise Cloud Computing, Blockchain, Machine Learning and AI, Mobile, Digital Wallets, and much more. Grow with a fast growing company with global presence and recognition. (ref:hirist.tech) Show more Show less

Job Title : Data Analyst Location : Bangalore Department : Analytics / Business Intelligence Company : KreditBee Company Overview KreditBee is Indias largest fintech lending platform, with 70 million+ downloads and over 85 lakh unique loan customers. We offer a wide suite of digital financial products including Personal Loans, Business Loans, Loan Against Property, DigiGold, Insurance, Credit Score Reports, and Expense Tracking. Backed by marquee investors like Premji Invest, Advent International, Motilal Oswal PE, MUFG, and TPG-backed NewQuest, KreditBee is transforming the way India borrows. Role Overview We are looking for a Data Analyst to join our growing analytics team. The ideal candidate is highly analytical, detail-oriented, and comfortable working in a fast-paced fintech environment. You will work closely with cross-functional teams including product, marketing, risk, and operations to deliver actionable insights. Key Responsibilities Analyze large volumes of structured and unstructured data to identify trends and generate business insights Develop dashboards, reports, and KPIs to track performance across various products Conduct exploratory data analysis to support business decisions Collaborate with product and engineering teams to define data requirements and enable data-driven solutions Monitor performance metrics and alert teams to anomalies Build predictive and segmentation models (optional, based on experience) Provide regular reporting on key metrics to senior management Requirements Bachelors/Masters degree in Engineering, Statistics, Mathematics, Economics, or a related field 13 years of experience in data analysis, preferably in fintech, BFSI, or e-commerce Strong proficiency in SQL and Excel Working knowledge of Python or R for data analysis Experience with BI tools such as Power BI, Tableau, or Looker Understanding of statistical methods, data modeling, and A/B testing Strong communication and presentation skills Nice To Have Experience working with large datasets and cloud-based data warehouses (BigQuery, Redshift, etc.) Prior experience in risk analytics, lending, or financial product data Familiarity with version control tools like Git Why Join KreditBee? Work with a young, dynamic, and fast-growing fintech leader Exposure to challenging, large-scale data problems Collaborative and innovation-driven work culture Attractive compensation and growth opportunities Disclaimer This job description is intended to outline the general nature and key responsibilities of the position. It is not intended to be an exhaustive list of all duties, responsibilities, or qualifications associated with the role. The responsibilities and qualifications described may be subject to change, and other duties may be assigned as needed. Employment is at-will, meaning the employee or the employer may terminate the employment relationship at any time, with or without cause, and with or without notice. Data Utilization Disclaimer By applying for this position, you acknowledge and agree that any personal data you provide may be used for recruitment and employment purposes. The data collected will be stored and processed in accordance with our privacy policy and applicable data protection laws. Your information will only be shared with relevant internal stakeholders and will not be disclosed to third parties without your consent, unless required by law. (ref:hirist.tech) Show more Show less

Key Responsibilities Manage end-to-end delivery of data science projects. Develop and validate predictive models using analytical tools Collaborate with BD team, product managers, data engineers, and other teams to deploy analytical solutions. Support internal teams in developing in-house products / analytical solutions Build models for descriptive and predictive analytics, explore natural language understanding, conversational AI, forecasting and automation. Provide expertise in data wrangling, exploratory data analysis and feature engineering with large data sets. Support the development of proofs of concept to demonstrate the application of analytical capabilities in solving customer problems in collaboration with product and other development teams. Align the technology solution with a business goal. Qualifications Bachelor's or Masters degree in Computer Science, Mathematics, Statistics, or other quantitative fields. Familiarity with Agile methodologies and software development project management. Excellent written and verbal communication skills, with experience presenting complex technical information to non-technical audiences. Demonstrated flexibility, creativity, and patience in adapting to new situations and changing needs. Skills Proven skills in translating analytics output to actionable recommendations and delivering the same to key stakeholders. Experience with extracting and aggregating data from large datasets. Experience in understanding and analyzing data using statistical software (e.g., Python, R, SQL, PySpark or others). Competence in Excel, PowerPoint, and BI tools such as Tableau, PowerBI, etc. Assess the effectiveness and accuracy of new data sources and data gathering techniques. Develop custom data models and algorithms to apply to datasets. Use predictive modeling to increase and optimize customer experiences, revenue generation, data insights, and other business outcomes. Develop processes and tools to monitor and analyze model performance and data accuracy. Partner with key stakeholders/clients to understand the problem statement and convince them with data. Extract and understand data to form an opinion on how to best help our partners and derive relevant insights. Develop visualizations to make complex analyses accessible to a broad audience. Leadership and Stakeholder Management. High attention to detail and quality. Highly adaptive, comfortable working within a complex environment. (ref:hirist.tech) Show more Show less

Job Title : Senior Data Scientist Location : Matrix Tower, Pune, India Experience : 1012 Years Joining : Immediate Joiners Preferred (May Joiners) Mode of Interview : Virtual Drive (Date TBD) Job Summary As a Senior Data Scientist at Emerson, you will analyze large-scale data sets to uncover trends, develop machine learning models, and deliver actionable insights. You will collaborate across teams to design data-driven solutions that support strategic decisions and operational improvements. Key Responsibilities Analyze complex datasets to identify patterns and insights. Design and deploy predictive models and algorithms to solve business challenges. Build dashboards and visualizations for stakeholders. Collaborate with cross-functional teams to align data solutions with business goals. Clean, process, and validate data for quality and accuracy. Present findings, model outcomes, and KPIs to senior leadership. Participate in Agile/Scrum ceremonies and contribute to iterative development. Stay current with advances in AI, ML, and data science trends. Requirements Bachelors degree in Computer Science, Data Science, Statistics, or related field (Masters preferred). 1012 years of total experience with 5+ years in data science/analytics roles. Strong expertise in ML techniques (e.g., CNN, RNN, SVM, Decision Forests). Experience with NLP, NLG, and Large Language Models (e.g., GPT, BERT, PaLM). Proficient in Python or R, with libraries like pandas, NumPy, TensorFlow, PyTorch. Familiar with visualization tools : Tableau, Power BI, Matplotlib, Seaborn. Experience working with SQL and NoSQL (e.g., MongoDB, Cassandra). Solid communication skills to explain technical insights to non-technical teams. Preferred Qualifications Background in engineering domain. Experience with Scaled Agile Framework (SAFe). Certifications from recognized AI/data science programs. Familiarity with Microsoft Azure or other cloud platforms. Strong analytical, troubleshooting, and multitasking abilities. (ref:hirist.tech) Show more Show less

Job Title : Database Administrator Location : Gurugram Job Type : Full-time Job Summary Database Administrator (DBA) with 5-7 years of experience with strong expertise in MS SQL, MySQL and PostgreSQL, with a proven track record in database administration and management. Key Responsibilities Database Administration: Manage, maintain, and optimize MS SQL, MY SQL and PostgreSQL databases to ensure high availability and performance. Performance Monitoring: Continuously monitor database performance and implement tuning measures to enhance efficiency and reliability. Backup and Recovery: Develop and execute comprehensive backup and recovery strategies to safeguard data integrity. Security Implementation: Enforce database security protocols, including user access management and data encryption. Troubleshooting: Identify and resolve database-related issues, including performance bottlenecks and connectivity problems. Required Skills Install, configure and maintain database of MS SQL, MySQL, PostgreSQL etc.. and maintain required documentation. Thorough knowledge of SQL Server configuration, High availability configuration, and setting up the environment Plan, schedule and manage the implementation of new databases and modifications to existing databases in a manner that avoids disruption to production and development systems. Ensure that the database design supports the application requirements, including performance and scalability and is properly configured for optimal performance. Ensure the implementation of solutions for database replication, clustering, and high availability to ensure minimal downtime. Plan and design failover and load balancing for high-availability environments. Expertise in upgrading and migrating databases to Cloud environment Hands on experience in Performance Tuning and Query Optimization and should have good understanding on Indexing, Partitions, and different storage engines available under MySQL Implement backup strategies and ensure backups are performed regularly. Develop and test disaster recovery plans to restore data in case of failure or data corruption. Ensure databases are protected from data loss and downtime. Ensure monitoring database performance and proactively identifying performance issues, Optimize queries, indexes, and database structure to improve performance. Ensure Database Maintenance and regularly perform maintenance tasks such as reindexing, updating statistics, and purging old data. Ensure data integrity through routine checks and troubleshooting data inconsistencies. (ref:hirist.tech) Show more Show less

Job Title : AI/ML & Data Science Roles - GenAI, ML, NLP Experts Locations : Chennai & Gurgaon/NCR Experience : 5 to 8 Years Open Positions : 9 Job Type : Full-Time | Hybrid / On-Site About The Role We are seeking skilled and motivated AI/ML professionals with a strong background in Data Science, Machine Learning, and Generative AI. The ideal candidates will have experience in designing, building, and deploying scalable AI/ML models and frameworks for solving real-world business problems across financial and enterprise domains. You will collaborate with cross-functional teams, including product, engineering, and strategy, to develop AI solutions that create measurable impact. Key Responsibilities (may vary slightly based on role level) : Design and develop advanced ML/GenAI models using Python, TensorFlow, PyTorch, or similar frameworks. Work on Generative AI models including LLMs, Transformers, prompt engineering, fine-tuning, and evaluation. Lead or contribute to end-to-end ML lifecycle : data collection, preprocessing, feature engineering, modeling, deployment, and monitoring. Apply NLP, computer vision, or time series modeling techniques based on project requirements. Develop reusable AI/ML frameworks, pipelines, and APIs. Collaborate with business stakeholders to identify opportunities for AI/ML intervention. Interpret model results, generate insights, and communicate findings to both technical and non-technical audiences. Ensure compliance with model governance, risk management, and ethical AI practices. Preferred Qualifications (All Roles) Bachelor's/Master's/PhD in Computer Science, Data Science, Engineering, Statistics, or related fields. 5 to 8 years of hands-on experience in ML/AI/Data Science. Proficiency in Python, Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch. Experience with SQL and cloud platforms (AWS, Azure, or GCP). Strong understanding of ML algorithms, model evaluation metrics, and deployment strategies. Exposure to GenAI concepts including transformers, embeddings, LLM APIs (OpenAI, Cohere, Anthropic, etc.) Excellent problem-solving and communication skills. Strong publication record or innovative project portfolio in NLP, deep learning, or GenAI. (ref:hirist.tech) Show more Show less

As the member Data Science, this is your opportunity to be part of a next-gen data science team. As a Junior Data Scientist, youll work across business analytics, data engineering, and advanced modelling projects. You will gain hands-on experience in building clean data pipelines, generating user-level insights, and contributing to models that decode complex consumer behaviour. If you're eager to grow at the intersection of data engineering, analytics, and AI, this role is your launchpad. You will influence strategic decisions, pioneer ground breaking technologies, and deliver insights that empower businesses across industries. If youre a visionary who thrives on solving complex challenges and driving transformative change, this role is your canvas to create, inspire, and lead. What Youll Do Learn, Build, and Apply : Support the development of VTIONs behavioral data models through cleaning, transformation, and feature engineering. Assist in the construction and automation of data pipelines with engineering teams. Engage in business analytics projectstranslating behavioral data into marketing and user insights Bridge Data And Business Deliver exploratory analyses, cohort insights, and trend reports to support strategic decisions. Contribute to real-time dashboards and visualizations for internal and client use (Power BI, Tableau, Plotly). Support Innovation Work on classification, clustering, and segmentation models using Python (Scikit-learn, pandas, NumPy). Collaborate & Evolve Partner with data scientists, engineers, and product teams to deliver scalable solutions. Participate in sprint reviews, brainstorms, and post-analysis reviews to drive learning and iteration. Continuously explore new tools, methods, and technologies to elevate your own practice. What Were Looking For Proven Leadership : 5+ years of experience in data science, with at least 3 years leading high-performing teams. Technical Mastery Python (pandas, NumPy, scikit-learn, matplotlib) SQL for data querying Exposure to cloud platforms (AWS, GCP preferred) Bonus : Familiarity with Git, Airflow, dbt, or vector databases Analytics Mindset Ability to interpret business problems into data questions Understanding of basic statistics, experiment design, and metrics interpretation Curiosity And Drive Eagerness to learn in a dynamic, fast-paced environment Strong communication skills and a collaborative spirit Why Join Us Contribute to real-time, high-impact data applications Be mentored by senior leaders in AI, LLMs, and semantic intelligence Build a career path that spans across analytics, engineering, and research Thrive in a culture that values creativity, continuous learning, and ownership (ref:hirist.tech) Show more Show less

Kohima, India Be the First to Apply Job Info Job Identification 27194 Posting Date 06/16/2025, 11:55 AM Apply Before 06/30/2025, 03:59 PM Job Schedule Full time Locations Kohima, India Agency UNDP Grade NPSA-6 Vacancy Type National Personnel Service Agreement Practice Area Effectiveness Bureau Regional Bureau for Asia and the Pacific Contract Duration 6 months Education & Work Experience Bachelor's Degree - 3 year(s) experience OR High School certificate- 6 year(s) experience Other Criteria 6 months initially Co-terminus with the project duration with possibility for extension Required Languages Fluency in English is required Desired Languages Fluency in Nagamese is desirable Vacancy Timeline 2 Weeks Job Description UNDP has been working in India since 1951 in almost all areas of human development. Together with the Government of India and development partners, we have worked towards eradicating poverty, reducing inequalities, strengthening local governance, enhancing community resilience, protecting the environment, supporting policy initiatives and institutional reforms, and accelerating sustainable development for all. With projects and programmes in every state and union territory in India, UNDP works with national and subnational government, and diverse development actors to deliver people-centric results, particularly for the most vulnerable and marginalized communities. As the integrator for collective action on the Sustainable Development Goals (SDGs) within the UN system, we are committed to supporting the Government of India’s national development vision and priorities and accelerating the achievement of the SDGs for the people and the planet. UNDP India’s New Country Programme (2023-2027) Builds On Our Prior Work And Aims To Provide An Integrated Approach To Development Solutions In Three Strategic Portfolios Strong, accountable and evidence-led institutions for accelerated achievement of the SDGs. Enhanced economic opportunities and social protection to reduce inequality, with a focus on the marginalized. Climate-smart solutions, sustainable ecosystems and resilient development for reduced vulnerability. South-South cooperation, gender equality and social inclusion are promoted across the pillars. The programme is supported by a framework of renewed partnerships and blended finance solutions, strategic innovation and accelerator labs, and data and digital architecture. You are invited to join a team of future-smart development professionals to support India in achieving the national and globally agreed goals. As part of the UNDP team, your focus will be to work with diverse stakeholders to find country-specific solutions that lead to sustainable development and reach those furthest behind first. Office/Unit/Project Description The UNDP India Country Programme Document CPD (2023-2027) signed with the Government of India (GoI) aims at transformative change and development impact at scale. In line with this, UNDP has initiated active support to many state governments in mainstreaming SDGs within their schemes and programmes as a part of an UN system- wide to SDG roll out for visioning and planning in India. UNDP has done some pioneering work on localizing SDGs in States like Uttarakhand, Haryana, Punjab, Karnataka, Tamil Nadu and Northeast. The focus of the agency is to support the States in Localization & Integration and to provide technical capacity in the implementation framework for SDGs. In view of India’s commitment to the 2030 Agenda, the Economic and Statistical Organization (ESO), Department of Planning has come up with vision document focusing on sectoral growth aligned with SDGs and is in the process of developing State Indicator Framework also. State level consultations are underway to align the global goals with the planning process of the State. To implement the ambitious targets set for itself in SDG VISION 2030, the Government of Nagaland (GoN) has already started the process of integrating the SDGs into the planning and development process of the state and has set up and has partnered with UNDP to establish SDG Coordination Centre (SDGCC) under the Department of Planning and Transformation. Since 2019 UNDP has a team of experts as part of the SDGCC and working closely with relevant government departments, technical agencies, UN agencies, civil society organization and academic institutions to provide the requisite impetus to the state government’s initiative in rolling out the SDGs. With the SDG Nagaland vision in place and the monitoring dashboard launched, the SDGCC is expected to enhance its financial and non-financial resources and work to accelerate the progress of achievement of the global goals. Main Purpose Job Purpose and Scope of Work The Project Associate- Resource Mobilisation & Partnership Development in Nagaland is designed to work under the overall leadership and guidance of the Policy Specialist, SDG Acceleration Unit, UNDP India and coordinate with the SDGCC team to develop and implement strategies for mobilizing financial and non-financial resources to support SDG Vision 2030 in Nagaland. The incumbent will play a key role in building partnerships with the private sector, philanthropies, industry associations, multilateral agencies, and government stakeholders to secure funding and technical collaborations for SDG initiatives in the state. Duties And Responsibilities Under the overall supervision of the Policy Specialist, SDG Acceleration Unit, UNDP India the incumbent will: Support in the identification and mapping of relevant stakeholders Building strategic alliances and engaging donors to secure funding opportunities and strengthen partnerships for sustainable development financing. Assist in identification and development of new innovative initiatives, partnerships and approaches to support SDG priority indicators based on research and best global practices. Support in Identifying the entry points for innovations (e.g. innovations dashboard, hackathons for development, foresight and innovations summit) and facilitating integration in overall SDGCC and UNDP programming. Mapping and analysis of the contributions of private sector entities, CSR initiatives, and philanthropic organizations in Nagaland towards achieving the SDGs Conduct an environmental scan to identify opportunities for private sector partnerships through partner-specific analysis, assessment of needs, and evaluation of comparative strengths. Assist in establishing and maintaining strategic contacts and association with relevant partners, follow proactively engagement ideas and work closely with GoN SDGCC Team. Strengthening government partnerships through providing high quality and strategic communications support. Coordinating with direct stakeholders and team members to maintain consistent engagement and alignment with project objectives, enabling a collaborative approach to achieving the SDG targets. Assist in stakeholder coordination & resource mobilization Assist in researching and mapping donor priorities and funding trends to identify potential partnership and fundraising opportunities. Coordinate with internal teams and external partners to support the development and maintenance of strategic relationships with government agencies, private sector entities, multilateral institutions, and civil society organizations. Help organize and facilitate stakeholder engagement activities, including meetings, events, dialogues, and knowledge-sharing sessions. Provide logistical and documentation support for partnership development and donor engagement initiatives. Assist in monitoring and tracking partnership activities and donor communications to ensure timely follow-ups and reporting. Conduct background research and analysis to support evidence-based decision-making and resource mobilisation planning. Demonstrate familiarity with Environmental, Social, and Governance (ESG) standards and sustainability frameworks relevant to development partnerships. Contribute to capacity-building initiatives for government and institutional stakeholders, particularly in partnership development and strategy implementation. Help coordinate and support multi-stakeholder engagement, particularly in government or international development settings, with strong communication and interpersonal skills. Support business development with a focus on achieving the following results: Creating content for the SDG Private sector partner platform involving companies, business forums, industry associations and banking sector, Strengthening the engagement of partnerships with private sector, civil society, philanthropies, multilateral stakeholders and mobilizing financial and non-financial resources. Implementing relevant financial instruments to attract private investment and engage donors to accelerate financing for the SDGs. Organizing partnership engagement meetings and events to showcase SDG priorities and indicators to foster collaborations and encouraging targeted investments in critical sectors. Supporting the development of project proposals, concept notes, and background materials related to SDG priority indicators Support knowledge building and knowledge sharing Participate in training and organize briefings on internal procedures for the project staff. Provide support to other capacity building activities, including to the design and delivery of tools, materials for workshops, or platforms that tap into the collective intelligence of communities and mobilize action. Provide support in the dissemination and sharing of relevant data and lessons learned within the CO and regionally. Keep pulse on emerging best practices nationally, regionally, and internationally that relate to the work of the assigned project. Make sound contributions to knowledge networks and communities of practice. Support compiling and systematizing project knowledge, products and tools as well as their wide distribution to partners. The incumbent performs other duties within their functional profile as deemed necessary for the efficient functioning of the Office and the Organization. Institutional Arrangement [1] Reporting To: Policy Specialist, NPSA 9, SDG Acceleration & Finance Unit, UNDP India. Reportees to this position (if applicable): NA [1] NPSA holders hired under a National implementation modality, remain under the administrative supervision of UNDP, even if daily supervision is ensured by the national counterpart. Competencies Core Achieve Results: LEVEL 1: Plans and monitors own work, pays attention to details, delivers quality work by deadline Think Innovatively: LEVEL 1: Open to creative ideas/known risks, is pragmatic problem solver, makes improvements Learn Continuously: LEVEL 1: Open minded and curious, shares knowledge, learns from mistakes, asks for feedback Adapt with Agility: LEVEL 1: Adapts to change, constructively handles ambiguity/uncertainty, is flexible Act with Determination: LEVEL 1: Shows drive and motivation, able to deliver calmly in face of adversity, confident Engage and Partner: LEVEL 1: Demonstrates compassion/understanding towards others, forms positive relationships Enable Diversity and Inclusion: LEVEL 1: Appreciate/respect differences, aware of unconscious bias, confront discrimination Cross-Functional & Technical competencies Thematic Area Name Definition Business Direction and Strategy Strategic Thinking Ability to develop effective strategies and prioritized plans in line with UNDP’s objectives, based on the systemic analysis of challenges, potential risks and opportunities, linking the vision to reality on the ground, and creating tangible solutions. learn from a variety of sources to anticipate and effectively respond to both current and future trends; demonstrate foresight. Data Data analysis Ability to extract, analyse and visualize data (including Real-Time Data) to form meaningful insights and aid effective decision making Business Management Project Management Ability to plan, organize, prioritize and control resources, procedures and protocols to achieve specific goals Business Management Partnership Management . Build and maintain partnerships with wide networks of stakeholders, Governments, civil society and private sector partners, experts and others in line with UNDP strategy and policies Partnership Management Multi- stakeholder engagement and funding Knowledge and ability to forge multi-stakeholder partnerships, and remove any obstacles to resource mobilization and multi- stakeholder funding platforms Partnership Management Relationship management Ability to engage with a wide range of public and private partners, build, sustain and/or strengthen working relations, trust and mutual understanding Digital Story telling Ability to empathize with people's perceptions, motivations, feelings and mental models and craft narratives to build an emotive argument for change accordingly. Ability to present data, insights or information in compelling ways to mobilize resources, talent or action. Ability to choose media and channels that is fit for purpose to reach specific target audiences. Min. Education Requirements Minimum Qualifications of the Successful NPSA Secondary education is required. Or A university degree (bachelor’s degree) or equivalent in Public Relations, Rural Development, Economics, Communications, Development Economics, Statistics, Mathematics, Public Administration, Business Administration, Public policy or related Social Science field will be given due consideration, but it is not a requirement. Min. years of relevant work experience Minimum 6 years (with secondary education) or 3 years (with bachelor’s degree) of experience of working with government at the national level or sub-national level in resource mobilization, private sector, corporate communication, government, responsible for lead formulation and partnerships is required. Required skills Demonstrated experience with government in resource mobilization, including developing proposals and engaging with donors, CSR entities, and philanthropic organizations. Experience in preparing high-quality project proposals, concept notes, and investment pitch materials tailored to potential partners. Desired skills in addition to the competencies covered in the Competencies section Experience in innovative financing models for resource mobilization. Exposure to partnership development with private sector, business forums, or philanthropic foundations. Experience in capacity building for government and institutional partners on partnership strategies. Proven experience and strong understanding of SDG-related financing mechanisms and ability to align resource mobilization strategies with development priorities Demonstrated experience in stakeholder engagement, partnership tracking tools, and relationship management. Experience and knowledge of the working structure, rules, regulations, policies, and procedures of UN/UNDP. Required Language(s) Fluency in English is required. Fluency in Nagamese is desirable. Professional Certificates N/A Remuneration starting at INR 11,73,913.44 (Annual) / INR 97,826.12 (Monthly) as per the scale depending on qualifications and experience. The remuneration is excluding 8.33% pension amount paid over and above the salary Equal opportunity As an equal opportunity employer, UNDP values diversity as an expression of the multiplicity of nations and cultures where we operate and, as such, we encourage qualified applicants from all backgrounds to apply for roles in the organization. Our employment decisions are based on merit and suitability for the role, without discrimination. UNDP is also committed to creating an inclusive workplace where all personnel are empowered to contribute to our mission, are valued, can thrive, and benefit from career opportunities that are open to all. Sexual harassment, exploitation, and abuse of authority UNDP does not tolerate harassment, sexual harassment, exploitation, discrimination and abuse of authority. All selected candidates, therefore, undergo relevant checks and are expected to adhere to the respective standards and principles. Right to select multiple candidates UNDP reserves the right to select one or more candidates from this vacancy announcement. We may also retain applications and consider candidates applying to this post for other similar positions with UNDP at the same grade level and with similar job description, experience and educational requirements. Scam alert UNDP does not charge a fee at any stage of its recruitment process. For further information, please see www.undp.org/scam-alert. Similar Jobs Show more Show less

Job Title : Senior Data Scientist Algorithmic Trading & Capital Markets Job Locations : Noida | Pune | Mumbai (Currently Work From Home) About The Role We are seeking an experienced and highly motivated Senior Data Scientist to join our dynamic team focused on Algorithmic Trading and Capital Markets. The ideal candidate will bring a strong academic background and a minimum of 7 years of relevant industry experience in data science and financial domains. Key Responsibilities Develop and optimize quantitative models for algorithmic trading strategies. Apply statistical inference, machine learning, and financial mathematics to capital market problems. Conduct research and analysis on derivatives pricing, risk modeling, and portfolio optimization. Work closely with cross-functional teams including traders, quants, and software engineers. Handle large datasets using Python, Pandas, and Numpy for deep analysis and model development. Design and manage databases for efficient data retrieval and storage. Required Qualifications Masters or Ph.D. in a Quantitative Field such as Computer Science, Mathematics, Statistics, Financial Engineering, or related disciplines. 7+ years of relevant experience in Data Science, preferably in capital markets or finance in : Python, Pandas, Numpy Statistical inference & machine learning techniques Financial mathematics & derivatives pricing Optimization theory Database technologies Job Perks Opportunity to work on cutting-edge financial and trading models. Collaborative and research-driven work environment. Flexible WFH setup (until further notice) (ref:hirist.tech) Show more Show less

Job Title : SQL & Azure SQL Database Administrator (3+ Years Experience) Location : Remote Job Summary We are seeking a proactive and detail-oriented SQL Database Administrator with 3+ years of experience, including hands-on exposure to Azure SQL environments. The successful candidate will be responsible for managing both on-premises SQL Server databases and cloud-based Azure SQL databases, ensuring optimal performance, security, and reliability. Key Responsibilities Install, configure, monitor, and maintain Microsoft SQL Server and Azure SQL databases. Perform routine maintenance tasks including backups, restores, indexing, and statistics updates. Monitor and optimize database performance using SQL Profiler, DMVs, and Query Store. Manage high availability and disaster recovery solutions like SQL Server Always On, Azure Geo-Replication, and Failover Groups. Implement and manage Azure SQL Database, Azure Managed Instances, and related resources (e.g., Elastic Pools, Private Endpoints). Automate administrative tasks using PowerShell, T-SQL, or Azure CLI. Ensure database security through access controls, encryption, auditing, and compliance. Collaborate with development and DevOps teams for schema deployments and performance tuning. Design and maintain documentation for standard operating procedures and system configurations. Required Skills And Qualifications Bachelors degree in Computer Science, Information Technology, or related field. Minimum of 3 years experience as a SQL DBA, including Azure SQL exposure. Strong knowledge of SQL Server 2016/2019/2022 and Azure SQL Database/Managed Instance. Proficiency in T-SQL, stored procedures, and query optimization techniques. Experience with Azure services such as Azure Monitor, Azure Security Center, and Log Analytics. Familiarity with IAM roles, RBAC, and data encryption within Azure. Hands-on experience with database migration from on-premises to Azure. Solid understanding of backup/restore and disaster recovery strategies in both environments. Excellent troubleshooting and communication skills. (ref:hirist.tech) Show more Show less

Job Description UNDP has been working in India since 1951 in almost all areas of human development. Together with the Government of India and development partners, we have worked towards eradicating poverty, reducing inequalities, strengthening local governance, enhancing community resilience, protecting the environment, supporting policy initiatives and institutional reforms, and accelerating sustainable development for all. With projects and programmes in every state and union territory in India, UNDP works with national and subnational government, and diverse development actors to deliver people-centric results, particularly for the most vulnerable and marginalized communities. As the integrator for collective action on the Sustainable Development Goals (SDGs) within the UN system, we are committed to supporting the Government of India’s national development vision and priorities and accelerating the achievement of the SDGs for the people and the planet. UNDP India’s New Country Programme (2023-2027) Builds On Our Prior Work And Aims To Provide An Integrated Approach To Development Solutions In Three Strategic Portfolios Strong, accountable and evidence-led institutions for accelerated achievement of the SDGs. Enhanced economic opportunities and social protection to reduce inequality, with a focus on the marginalized. Climate-smart solutions, sustainable ecosystems and resilient development for reduced vulnerability. South-South cooperation, gender equality and social inclusion are promoted across the pillars. The programme is supported by a framework of renewed partnerships and blended finance solutions, strategic innovation and accelerator labs, and data and digital architecture. You are invited to join a team of future-smart development professionals to support India in achieving the national and globally agreed goals. As part of the UNDP team, your focus will be to work with diverse stakeholders to find country-specific solutions that lead to sustainable development and reach those furthest behind first. Office/Unit/Project Description The UNDP India Country Programme Document CPD (2023-2027) signed with the Government of India (GoI) aims at transformative change and development impact at scale. In line with this, UNDP has initiated active support to many state governments in mainstreaming SDGs within their schemes and programmes as a part of an UN system- wide to SDG roll out for visioning and planning in India. UNDP has done some pioneering work on localizing SDGs in States like Uttarakhand, Haryana, Punjab, Karnataka, Tamil Nadu and Northeast. The focus of the agency is to support the States in Localization & Integration and to provide technical capacity in the implementation framework for SDGs. In view of India’s commitment to the 2030 Agenda, the Economic and Statistical Organization (ESO), Department of Planning has come up with vision document focusing on sectoral growth aligned with SDGs and is in the process of developing State Indicator Framework also. State level consultations are underway to align the global goals with the planning process of the State. To implement the ambitious targets set for itself in SDG VISION 2030, the Government of Nagaland (GoN) has already started the process of integrating the SDGs into the planning and development process of the state and has set up and has partnered with UNDP to establish SDG Coordination Centre (SDGCC) under the Department of Planning and Transformation. Since 2019 UNDP has a team of experts as part of the SDGCC and working closely with relevant government departments, technical agencies, UN agencies, civil society organization and academic institutions to provide the requisite impetus to the state government’s initiative in rolling out the SDGs. With the SDG Nagaland vision in place and the monitoring dashboard launched, the SDGCC is expected to enhance its financial and non-financial resources and work to accelerate the progress of achievement of the global goals. Main Purpose Job Purpose and Scope of Work The Project Associate- Resource Mobilisation & Partnership Development in Nagaland is designed to work under the overall leadership and guidance of the Policy Specialist, SDG Acceleration Unit, UNDP India and coordinate with the SDGCC team to develop and implement strategies for mobilizing financial and non-financial resources to support SDG Vision 2030 in Nagaland. The incumbent will play a key role in building partnerships with the private sector, philanthropies, industry associations, multilateral agencies, and government stakeholders to secure funding and technical collaborations for SDG initiatives in the state. Duties And Responsibilities Under the overall supervision of the Policy Specialist, SDG Acceleration Unit, UNDP India the incumbent will: Support in the identification and mapping of relevant stakeholders Building strategic alliances and engaging donors to secure funding opportunities and strengthen partnerships for sustainable development financing. Assist in identification and development of new innovative initiatives, partnerships and approaches to support SDG priority indicators based on research and best global practices. Support in Identifying the entry points for innovations (e.g. innovations dashboard, hackathons for development, foresight and innovations summit) and facilitating integration in overall SDGCC and UNDP programming. Mapping and analysis of the contributions of private sector entities, CSR initiatives, and philanthropic organizations in Nagaland towards achieving the SDGs Conduct an environmental scan to identify opportunities for private sector partnerships through partner-specific analysis, assessment of needs, and evaluation of comparative strengths. Assist in establishing and maintaining strategic contacts and association with relevant partners, follow proactively engagement ideas and work closely with GoN SDGCC Team. Strengthening government partnerships through providing high quality and strategic communications support. Coordinating with direct stakeholders and team members to maintain consistent engagement and alignment with project objectives, enabling a collaborative approach to achieving the SDG targets. Assist in stakeholder coordination & resource mobilization Assist in researching and mapping donor priorities and funding trends to identify potential partnership and fundraising opportunities. Coordinate with internal teams and external partners to support the development and maintenance of strategic relationships with government agencies, private sector entities, multilateral institutions, and civil society organizations. Help organize and facilitate stakeholder engagement activities, including meetings, events, dialogues, and knowledge-sharing sessions. Provide logistical and documentation support for partnership development and donor engagement initiatives. Assist in monitoring and tracking partnership activities and donor communications to ensure timely follow-ups and reporting. Conduct background research and analysis to support evidence-based decision-making and resource mobilisation planning. Demonstrate familiarity with Environmental, Social, and Governance (ESG) standards and sustainability frameworks relevant to development partnerships. Contribute to capacity-building initiatives for government and institutional stakeholders, particularly in partnership development and strategy implementation. Help coordinate and support multi-stakeholder engagement, particularly in government or international development settings, with strong communication and interpersonal skills. Support business development with a focus on achieving the following results: Creating content for the SDG Private sector partner platform involving companies, business forums, industry associations and banking sector, Strengthening the engagement of partnerships with private sector, civil society, philanthropies, multilateral stakeholders and mobilizing financial and non-financial resources. Implementing relevant financial instruments to attract private investment and engage donors to accelerate financing for the SDGs. Organizing partnership engagement meetings and events to showcase SDG priorities and indicators to foster collaborations and encouraging targeted investments in critical sectors. Supporting the development of project proposals, concept notes, and background materials related to SDG priority indicators Support knowledge building and knowledge sharing Participate in training and organize briefings on internal procedures for the project staff. Provide support to other capacity building activities, including to the design and delivery of tools, materials for workshops, or platforms that tap into the collective intelligence of communities and mobilize action. Provide support in the dissemination and sharing of relevant data and lessons learned within the CO and regionally. Keep pulse on emerging best practices nationally, regionally, and internationally that relate to the work of the assigned project. Make sound contributions to knowledge networks and communities of practice. Support compiling and systematizing project knowledge, products and tools as well as their wide distribution to partners. The incumbent performs other duties within their functional profile as deemed necessary for the efficient functioning of the Office and the Organization. Institutional Arrangement [1] Reporting To: Policy Specialist, NPSA 9, SDG Acceleration & Finance Unit, UNDP India. Reportees to this position (if applicable): NA [1] NPSA holders hired under a National implementation modality, remain under the administrative supervision of UNDP, even if daily supervision is ensured by the national counterpart. Competencies Core Achieve Results: LEVEL 1: Plans and monitors own work, pays attention to details, delivers quality work by deadline Think Innovatively: LEVEL 1: Open to creative ideas/known risks, is pragmatic problem solver, makes improvements Learn Continuously: LEVEL 1: Open minded and curious, shares knowledge, learns from mistakes, asks for feedback Adapt with Agility: LEVEL 1: Adapts to change, constructively handles ambiguity/uncertainty, is flexible Act with Determination: LEVEL 1: Shows drive and motivation, able to deliver calmly in face of adversity, confident Engage and Partner: LEVEL 1: Demonstrates compassion/understanding towards others, forms positive relationships Enable Diversity and Inclusion: LEVEL 1: Appreciate/respect differences, aware of unconscious bias, confront discrimination Cross-Functional & Technical competencies Thematic Area Name Definition Business Direction and Strategy Strategic Thinking Ability to develop effective strategies and prioritized plans in line with UNDP’s objectives, based on the systemic analysis of challenges, potential risks and opportunities, linking the vision to reality on the ground, and creating tangible solutions. learn from a variety of sources to anticipate and effectively respond to both current and future trends; demonstrate foresight. Data Data analysis Ability to extract, analyse and visualize data (including Real-Time Data) to form meaningful insights and aid effective decision making Business Management Project Management Ability to plan, organize, prioritize and control resources, procedures and protocols to achieve specific goals Business Management Partnership Management . Build and maintain partnerships with wide networks of stakeholders, Governments, civil society and private sector partners, experts and others in line with UNDP strategy and policies Partnership Management Multi- stakeholder engagement and funding Knowledge and ability to forge multi-stakeholder partnerships, and remove any obstacles to resource mobilization and multi- stakeholder funding platforms Partnership Management Relationship management Ability to engage with a wide range of public and private partners, build, sustain and/or strengthen working relations, trust and mutual understanding Digital Story telling Ability to empathize with people's perceptions, motivations, feelings and mental models and craft narratives to build an emotive argument for change accordingly. Ability to present data, insights or information in compelling ways to mobilize resources, talent or action. Ability to choose media and channels that is fit for purpose to reach specific target audiences. Min. Education Requirements Minimum Qualifications of the Successful NPSA Secondary education is required. Or A university degree (bachelor’s degree) or equivalent in Public Relations, Rural Development, Economics, Communications, Development Economics, Statistics, Mathematics, Public Administration, Business Administration, Public policy or related Social Science field will be given due consideration, but it is not a requirement. Min. Years Of Relevant Work Experience Minimum 6 years (with secondary education) or 3 years (with bachelor’s degree) of experience of working with government at the national level or sub-national level in resource mobilization, private sector, corporate communication, government, responsible for lead formulation and partnerships is required. Required Skills Demonstrated experience with government in resource mobilization, including developing proposals and engaging with donors, CSR entities, and philanthropic organizations. Experience in preparing high-quality project proposals, concept notes, and investment pitch materials tailored to potential partners. Desired skills in addition to the competencies covered in the Competencies section Experience in innovative financing models for resource mobilization. Exposure to partnership development with private sector, business forums, or philanthropic foundations. Experience in capacity building for government and institutional partners on partnership strategies. Proven experience and strong understanding of SDG-related financing mechanisms and ability to align resource mobilization strategies with development priorities Demonstrated experience in stakeholder engagement, partnership tracking tools, and relationship management. Experience and knowledge of the working structure, rules, regulations, policies, and procedures of UN/UNDP. Required Language(s) Fluency in English is required. Fluency in Nagamese is desirable. Professional Certificates N/A Remuneration starting at INR 11,73,913.44 (Annual) / INR 97,826.12 (Monthly) as per the scale depending on qualifications and experience. The remuneration is excluding 8.33% pension amount paid over and above the salary Equal opportunity As an equal opportunity employer, UNDP values diversity as an expression of the multiplicity of nations and cultures where we operate and, as such, we encourage qualified applicants from all backgrounds to apply for roles in the organization. Our employment decisions are based on merit and suitability for the role, without discrimination. UNDP is also committed to creating an inclusive workplace where all personnel are empowered to contribute to our mission, are valued, can thrive, and benefit from career opportunities that are open to all. Sexual harassment, exploitation, and abuse of authority UNDP does not tolerate harassment, sexual harassment, exploitation, discrimination and abuse of authority. All selected candidates, therefore, undergo relevant checks and are expected to adhere to the respective standards and principles. Right to select multiple candidates UNDP reserves the right to select one or more candidates from this vacancy announcement. We may also retain applications and consider candidates applying to this post for other similar positions with UNDP at the same grade level and with similar job description, experience and educational requirements. Scam alert UNDP does not charge a fee at any stage of its recruitment process. For further information, please see www.undp.org/scam-alert. Show more Show less

Viral Mint (Digital Marketing Agency) is looking for Sr. Data Engineer. Role Description : This is a full-time on-site role for a Senior Data Engineer at ViralMint. The Senior Data Engineer will be responsible for analyzing data, creating data models, communicating insights, and utilizing statistical techniques to drive business decisions. Experience : 5-7 years. Location : Baner, Pune (On-Site Job). Salary : Decent hike on your Current CTC. Responsibilities Analytical Skills, Data Analytics, and Statistics proficiency. Strong Communication skills. Data Modeling expertise. Experience in utilizing statistical methods for data analysis. Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, or related field. Experience with SQL, Python, or R is preferred. Must Have data visualization tools like Tableau or Power BI and Advance Excel , AI or Machine learning and strong Math's. Ability to work collaboratively in a team environment. A data analyst oversees organizing data related to sales figures, market research, logistics, Customers behaviors. A data Analyst collect the all data ( Needful information ) for particular task. (ref:hirist.tech) Show more Show less

Responsible for conducting in-depth analysis of complex datasets, deploying predictive models, applying optimization techniques, designing decision support systems, analyzing experiments, collaborating with cross-functional teams, staying abreast of advancements, and assessing the impact of data-driven decisions. Grade - T2 Please note that the Job will close at 12am on Posting Close date, so please submit your application prior to the Close Date What Your Main Responsibilities Are Conduct in-depth analysis of complex data sets to uncover actionable insights and trends. Develop and deploy predictive models to forecast business outcomes and support decision-making processes. Apply optimization techniques to improve business processes and resource allocation. Design and implement decision support systems that enable stakeholders to make data-driven decisions. Design and analyze experiments to evaluate the effectiveness of business strategies and interventions. Collaborate with cross-functional teams and stakeholders to understand business requirements and priorities. Stay abreast of advancements in data science, machine learning, and decision science to enhance analytical capabilities. Assess the impact of data-driven decisions on key business metrics and outcomes and iterate on models and strategies accordingly. What We Are Looking For Education: Bachelor's degree or equivalent in Computer Science, MIS, Mathematics, Statistics, or similar discipline. Master's degree or PhD is preferred. Relevant work experience in decision science based on the following number of years: Standard I: Two (2) years Standard II: Three (3) years Senior I: Four (4) years Senior II: Five (5) years Knowledge, Skills And Abilities Fluency in English Analytical Skills Accuracy & Attention to Detail Numerical Skills Planning & Organizing Skills Presentation Skills Statistical and Mathematical Knowledge Data Modeling and Visualization Skills Programming Skills FedEx was built on a philosophy that puts people first, one we take seriously. We are an equal opportunity/affirmative action employer and we are committed to a diverse, equitable, and inclusive workforce in which we enforce fair treatment, and provide growth opportunities for everyone. All qualified applicants will receive consideration for employment regardless of age, race, color, national origin, genetics, religion, gender, marital status, pregnancy (including childbirth or a related medical condition), physical or mental disability, or any other characteristic protected by applicable laws, regulations, and ordinances. Our Company FedEx is one of the world's largest express transportation companies and has consistently been selected as one of the top 10 World’s Most Admired Companies by "Fortune" magazine. Every day FedEx delivers for its customers with transportation and business solutions, serving more than 220 countries and territories around the globe. We can serve this global network due to our outstanding team of FedEx team members, who are tasked with making every FedEx experience outstanding. Our Philosophy The People-Service-Profit philosophy (P-S-P) describes the principles that govern every FedEx decision, policy, or activity. FedEx takes care of our people; they, in turn, deliver the impeccable service demanded by our customers, who reward us with the profitability necessary to secure our future. The essential element in making the People-Service-Profit philosophy such a positive force for the company is where we close the circle, and return these profits back into the business, and invest back in our people. Our success in the industry is attributed to our people. Through our P-S-P philosophy, we have a work environment that encourages team members to be innovative in delivering the highest possible quality of service to our customers. We care for their well-being, and value their contributions to the company. Our Culture Our culture is important for many reasons, and we intentionally bring it to life through our behaviors, actions, and activities in every part of the world. The FedEx culture and values have been a cornerstone of our success and growth since we began in the early 1970’s. While other companies can copy our systems, infrastructure, and processes, our culture makes us unique and is often a differentiating factor as we compete and grow in today’s global marketplace. Show more Show less

Designation : Data Scientist Experience : 3-8 Years Location : Chennai Job Description We are seeking a skilled Data Scientist to join our team. In this role, you will leverage advanced analytics and machine learning techniques to extract actionable insights from complex datasets, driving data-informed decision-making across the organization. Key Responsibilities Data Collection & Preprocessing : Gather, clean, and preprocess structured and unstructured data from various sources to ensure high-quality datasets for analysis. Model Development : Design, develop, and deploy predictive models and machine learning algorithms to address business challenges. Data Analysis : Conduct exploratory data analysis to identify trends, patterns, and anomalies, providing insights to inform strategic decisions. Visualization & Reporting : Create compelling data visualizations and reports to effectively communicate findings to both technical and non-technical stakeholders. Collaboration : Work closely with cross-functional teams, including engineering and product development, to integrate data-driven solutions into business processes. Required Skills & Qualifications Technical Proficiency : Strong programming skills in Python or R; experience with SQL for data querying. Machine Learning Expertise : Solid understanding of machine learning algorithms and frameworks; experience with libraries such as scikit-learn, TensorFlow, or PyTorch. Statistical Analysis : Strong foundation in statistics and data analysis techniques. Data Visualization : Proficiency in tools like Tableau, Power BI, or Matplotlib for creating insightful visualizations. Preferred Qualifications Big Data Technologies : Familiarity with big data platforms like Hadoop or Spark. Cloud Platforms : Experience with cloud services such as AWS, Azure, or Google Cloud. Business Acumen : Ability to translate complex data findings into actionable business strategies. (ref:hirist.tech) Show more Show less

Job Summary Indus Valley Promoters Ltd. is seeking a highly skilled and motivated Google Apps Script Coder and Advanced Excel Expert to join our team. The ideal candidate will possess a strong analytical mindset and a proven ability to manage and analyze data, create insightful reports, and automate processes using Excel and Google Apps Script. This role is crucial in developing and maintaining our Management Information Systems (MIS) dashboards and ensuring efficient data management across the Responsibilities Dashboard Development and Maintenance : Design, develop, and maintain interactive and dynamic MIS dashboards using Excel and Google Sheets to track key performance indicators (KPIs) and provide actionable insights. Ensure data accuracy, consistency, and timeliness in all dashboards. Collaborate with various departments to understand their reporting needs and translate them into effective dashboard Management : Manage and organize large datasets in Excel and Google Sheets, ensuring data integrity and accessibility. Develop and implement data validation and cleaning procedures to maintain data quality. Optimize data storage and retrieval processes for Creation and Automation : Create regular and ad-hoc reports using Excel and Google Sheets, presenting data in a clear and concise manner. Automate report generation and distribution processes using Google Apps Script to improve efficiency and reduce manual effort. Develop and maintain report templates and Apps Script Development : Develop, implement, and maintain custom solutions using Google Apps Script to automate workflows, integrate applications, and enhance productivity. Write clean, efficient, and well-documented code. Troubleshoot and debug Google Apps Script Analysis : Analyze data to identify trends, patterns, and insights that can inform business decisions. Interpret data and provide meaningful recommendations to management. Prepare data visualizations to communicate findings and Skills : Bachelor's degree in a relevant field (e.g., Computer Science, Business, Statistics, or related field). 3 to 4 years of experience in a similar Excel Skills : Proficiency in advanced Excel functions (e.g., VLOOKUP, INDEX, MATCH, SUMIFS, COUNTIFS, OFFSET) . Experience with PivotTables, PivotCharts, and data analysis tools. Ability to create complex formulas and use array functions. Knowledge of data validation, conditional formatting, and other data manipulation Sheets Expertise : Strong working knowledge of Google Sheets functions and features. Ability to create and manage spreadsheets, including complex formulas and data Apps Script Proficiency : Solid experience in developing and implementing solutions using Google Apps Script. Ability to automate tasks, manipulate data, and integrate with other Google Workspace applications. Understanding of JavaScript fundamentals and best Analysis Skills : Strong analytical and problem-solving skills. Ability to interpret data, identify trends, and provide insights. Experience with data visualization tools and techniques. Excellent communication and interpersonal skills. Ability to work independently and as part of a team. Strong attention to detail and a commitment to accuracy. Ability to manage multiple tasks and prioritize effectivel (ref:hirist.tech) Show more Show less

Role Overview We are looking for a highly skilled and motivated Senior Data Scientist to join our team. In this role, you will design, develop, and implement advanced data models and algorithms that drive strategic decision-making across the organization. You will work closely with product, engineering, and business teams to uncover insights and deliver data-driven solutions that enhance the performance and scalability of our products and services. Key Responsibilities Develop, deploy, and maintain machine learning models and advanced analytics pipelines. Analyze complex datasets to identify trends, patterns, and actionable insights. Collaborate with cross-functional teams (Engineering, Product, Marketing) to define and execute data science strategies. Build and improve predictive models using supervised and unsupervised learning techniques. Translate business problems into data science projects with measurable impact. Design and conduct experiments, A/B tests, and statistical analyses to validate hypotheses and guide product development. Create dashboards and visualizations to communicate findings to technical and non-technical stakeholders. Stay up-to-date with industry trends, best practices, and emerging technologies in data science and machine learning. Ensure data quality and governance standards are maintained across all projects. Required Skills And Qualifications 68 years of hands-on experience in Data Science, Machine Learning, and Statistical Modeling. Proficiency in programming languages such as Python, R, and SQL. Strong foundation in data analysis, data wrangling, and feature engineering. Expertise in building and deploying models using tools such as scikit-learn, TensorFlow, PyTorch, or similar frameworks. Experience with big data platforms (e.g., Spark, Hadoop) and cloud services (AWS, GCP, Azure) is a plus. Deep understanding of statistical techniques including hypothesis testing, regression, and Bayesian methods. Excellent communication skills with the ability to explain complex technical concepts to non-technical audiences. Proven track record of working on cross-functional projects and delivering data-driven solutions that impact business outcomes. Master's or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related field. Experience with NLP, computer vision, or deep learning techniques. Knowledge of data engineering principles and ETL processes. Familiarity with version control (Git), agile methodologies, and CI/CD pipelines. Contributions to open-source data science projects or publications in relevant fields. (ref:hirist.tech) Show more Show less