At o9 Solutions, our mission is clear: be the Most Valuable Platform (MVP) for enterprises. With our AI-driven platform — the o9 Digital Brain — we integrate global enterprises’ siloed planning capabilities, helping them capture millions and, in some cases, billions of dollars in value leakage. But our impact doesn’t stop there. Businesses that plan better and faster also reduce waste, which drives better outcomes for the planet, too. We're on the lookout for the brightest, most committed individuals to join us on our mission. Along the journey, we’ll provide you with a nurturing environment where you can be part of something truly extraordinary and make a real difference for companies and the plane t What you’ll do for us: Apply a variety of machine learning techniques (clustering, regression, ensemble learning, neural nets, time series, optimizations etc.) to their real-world advantages/drawbacks Develop and/or optimize models for demand sensing/forecasting, optimization (Heuristic, LP, GA etc), Anomaly detection, Simulation and stochastic models, Market Intelligence etc. Use latest advancements in AI/ML to solve business problems Analyze problems by synthesizing complex information, evaluating alternate methods, and articulating the result with the relevant assumptions/reasons Application of common business metrics (Forecast Accuracy, Bias, MAPE) and the ability to generate new ones as needed. Develop or optimize modules to call web services for real time integration with externa systems Work collaboratively with Clients, Project Management, Solution Architects, Consultants and Data Engineers to ensure successful delivery of o9 projects What you’ll have: Experience: 4+ Years of experience in time series forecasting in scale using heuristic-based hierarchical best-fit models using algorithms like exponential smoothing, ARIMA, prophet and custom parameter tuning. Experience in applied analytical methods in the field of Supply chain and planning, like demand planning, supply planning, market intelligence, optimal assortments/pricing/inventory etc. Should be from a statistical background. Education: Bachelors Degree in Computer Science, Mathematics, Statistics, Economics, Engineering or related field Languages: Python and/or R for Data Science Skills: Deep Knowledge of statistical and machine learning algorithms, building scalable ML frameworks, identifying and collecting relevant input data, feature engineering, tuning, and testing. Characteristics: Independent thinkers Strong presentation and communications skills We really value team spirit: Transparency and frequent communication is key. At o9, this is not limited by hierarchy, distance, or function. Nice to have: Experience with SQL, databases and ETL tools or similar is optional but preferred Exposure to distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, or related Big Data technologies Experience with Deep Learning frameworks such as Keras, Tensorflow or PyTorch is preferable Experience in implementing planning applications will be a plus Understanding of Supply Chain Concepts will be preferable Masters Degree in Computer Science, Applied Mathematics, Statistics, Engineering, Business Analytics, Operations, or related field What we’ll do for you Competitive salary with stock options to eligible candidates Flat organization: With a very strong entrepreneurial culture (and no corporate politics) Great people and unlimited fun at work Possibility to make a difference in a scale-up environment. Opportunity to travel onsite in specific phases depending on project requirements. Support network: Work with a team you can learn from everyday. Diversity: We pride ourselves on our international working environment. Work-Life Balance: https://youtu.be/IHSZeUPATBA?feature=shared Feel part of A team: https://youtu.be/QbjtgaCyhes?feature=shared How the process works Apply by clicking the button below You’ll be contacted by our recruiter, who’ll fill you in on all things at o9, give you some background about the role and get to know you. They’ll contact you either via video call or phone call - whatever you prefer. During the interview phase, you will meet with technical panels for 60 minutes. The recruiter will contact you after the interview to let you know if we’d like to progress your application. We will have 2 rounds of Technical discussion followed by a Hiring Manager discussion. Our recruiter will let you know if you’re the successful candidate. Good luck! More about us … With the latest increase in our valuation from $2.7B to $3.7B despite challenging global macroeconomic conditions, o9 Solutions is one of the fastest-growing technology companies in the world today. Our mission is to digitally transform planning and decision-making for the enterprise and the planet. Our culture is high-energy and drives us to aim 10x in everything we do. Our platform, the o9 Digital Brain, is the premier AI-powered, cloud-native platform driving the digital transformations of major global enterprises including Google, Walmart, ABInBev, Starbucks and many others. Our headquarters are located in Dallas, with offices in Amsterdam, Paris, London, Barcelona, Madrid, Sao Paolo, Bengaluru, Tokyo, Seoul, Milan, Stockholm, Sydney, Shanghai, Singapore an d Munich. o9 is an equal opportunity employer and seeks applicants of diverse backgrounds and hires without regard to race, colour, gender, religion, national origin, citizenship, age, sexual orientation or any other characteristic protected by law Show more Show less

Raipur District, Chhattisgarh Posted 3 hours ago About Organisation: LEPRA Society is an organization working for people affected by Leprosy, lymphatic filariasis, TB, HIV/AIDS & other NTDs, Eye Care and governed by a board comprising of distinguished individuals from across India. About the Project: With the support of The Global Fund to Fight AIDS, Tuberculosis, and Malaria (GFATM) and guidance from the Central TB Division, will be implementing; (a) Integrated Pediatric TB care services in both the public and private health sectors to increase pediatric TB case detection and improve treatment outcomes, and (b) Active Case Finding (ACF) for early detection of missing TB cases among key and vulnerable populations, using innovative AI-enabled portable X-ray devices. The project will be carried out through Sub-Recipient (SR) partners in the states of Chhattisgarh, Karnataka, Haryana, Punjab, Rajasthan, Telangana, and Uttar Pradesh. LEPRA Society seek State M& E Officer based at State headquarter of the implementation geographies to lead implementation of project “Decentralizing Pediatric TB Care Services in Public & Private Health Sector and enhance case detection through ACF with Handheld X-Ray across selected geographies” in Raipur District – Chattisgarh State. The position is for immediate employment Key Responsibilities The State M&E Officer will support the project monitoring functions and management of the MIS for both the pediatric TB and ACF components as assigned. The major responsibilities include: Manage and implement the project MIS based on the M&E framework, plan and conduct periodic updating based on the project requirements Supporting field testing and finalization of data collection tools and formats Ensure the data management of the project and data analysis activities Carry out routine analysis of Nikshay & Project data and provide performance feedback to the team at State & Districts. Conduct MIS assessments to identify problems and to test solutions Capacity building and mentorship of District teams on M&E aspects Conducting data validation and data quality audits, identifying gaps, and providing critical inputs for improving M&E systems and providing feedback to the State & District team. Ensure strengthening of program monitoring and its alignment with state priorities Coordinating with multiple agencies (Government & NGOs) to advance M&E activities at State & District level Assist the State & PR Team on all M&E aspects required for the achievement of program targets and ensure all program data is available for evidence-based program management Maintenance of documentation related to M&E activities for compliance including monthly and quarterly reports. Preparation of reports and presentations for meetings/trainings and contribution to publications and advocacy documents Any additional responsibilities as per the project requirements Qualifications and Skills: Graduate in statistics, computer science, demography, Public Health, sociology or allied field with quantitative analysis training skills; Having a minimum of three years of relevant experience in health and development sector areas as M&E officer, preferably at the State level. Knowledge and experience in TB, Nikshay and child health programs will be an advantage and preferred Experience in developing data collection tools, primary data collection, data entry and data management activities and having analytical skills Sound computer skills, including use of Internet and MS Office™ software, basic / advance use of excel, software such as EpiInfo, Kobo tool box etc. Excellent oral and written communication skills in English and working knowledge of Regional language Willingness to travel 10 to 12 days a month to implementation geographies Ability to work independently and as a team player in a complex, multicultural environment Knowledge of qualitative research and process evaluation techniques will be an added advantage Please note that we will be able to communicate only with shortlisted candidates at every stage of selection process. Remuneration: Rs. 55,000/- (CTC) per month HOW TO APPLY? If you have the skills and necessary experience and are interested in this position please forward your application along with covering letter and detailed resume in the specified format downloaded from www.leprasociety.in (Get Involved – “career column”) to hrd@leprahealthinaction.in specifying the REF.NO & Post applied for on or before the due date. LEPRA Society is an equal opportunity employer. LEPRA Society’s management reserves the right to modify the contents of this position description at any time

World Change Starts with Educated Children ® 2025 is our 25th Anniversary! Join Us in Celebrating 25 Years of Progress All applicants must be legally eligible to work in the country where the position is located. Room to Read is not able to provide sponsorship. Position Overview: The Lead, Data Analyst and Evaluator shall be part of RM&E Unit will be based at New Delhi, India Country Office (INCO). The position will report to the Manager, INCO RM&E. He/she will play a key role in supporting to strengthen government-led monitoring and evaluation systems. The position is responsible for providing strategic and technical support to the state-level RM&E team members in strengthening data systems, assessments, and evidence-informed decision-making. Duties and Responsibilities: Provide strategic guidance to the state RM&E team in strengthening government-led monitoring systems, ensuring alignment with both organizational frameworks and evolving state priorities. Lead the refinement of program log frames, indicators, and results frameworks, ensuring coherence with state-level implementation strategies and broader organizational goals. Review and offer technical oversight on the design and implementation of government-led assessments, including support in tool development, sampling methodologies, and analytical frameworks. Review and provide quality assurance for monitoring tools, data sets, dashboards, and reports generated by the state RM&E team, ensuring relevance, accuracy, and utility for decision-making. Mentor and build the technical and analytical capacities of state RM&E team members, promoting a culture of continuous learning, critical reflection, and high-quality delivery. Lead efforts to ensure data quality through regular checks, validation exercises, and field support visits. Support the enhancement of existing government digital monitoring systems, dashboards, and real-time data visualization tools. Guide the planning and facilitation of review meetings, reflection sessions, and evidence-informed planning workshops. Closely collaborate with state program, operations, and technical teams to ensure that monitoring and evaluation efforts are grounded in implementation realities. Represent the RM&E function in strategic planning, review meetings, and support coordination with state- and district-level government counterparts, donors, and technical partners. Lead the consolidation, synthesis, and presentation of key RM&E findings to internal leadership, donors, and government partners, highlighting programmatic learnings and policy implications. Demonstrated ability to work both independently and in teams. Develop network with Research organizations and Government and support Government to meet their research and evaluation needs. Undertake additional responsibilities assigned by the Manager-RM&E, contributing to cross-functional initiatives and strategic priorities of the organization. Qualifications: Required: Postgraduate degree in Economics, Public Policy, Education, Development Studies, Statistics or related field. A minimum of eight years (08) of relevant experience in monitoring & evaluation, government system strengthening, and/or program implementation. Prior experience in Foundational Literacy and Numeracy (FLN) programs is highly desirable. Strong conceptual understanding and hands-on experience in data analysis, systems thinking, monitoring frameworks, and assessment design. Proven experience working with government departments, especially in the education sector, with a strong understanding of public education systems. Proficiency in tools such as MS Excel, Power BI, SurveyCTO; experience with statistical analysis tools like STATA, is an added advantage. Ability to manage complex data systems, draw insights from evidence, and translate findings into actionable recommendations for program and policy decisions. Strong writing, articulation, and documentation skills with the ability to produce high-quality reports, presentations, briefs, and knowledge products for diverse stakeholders. Ability to multitask effectively, manage multiple priorities and meet deadlines in a fast-paced environment. Strong verbal communication and presentation skills, with the ability to effectively convey complex information to both technical and non-technical audiences. Ability and desire to travel to field locations. Prior experience in a fast-paced, growth-oriented global or regional organization Proven track record of juggling multiple priorities simultaneously and taking initiatives. Compensation: Room to Read offers a competitive salary with excellent benefits. Benefits include thirteenth month bonus, health insurance and a retirement plan. The non-monetary compensation includes a unique opportunity to be part of an innovative, meaningful, and rapidly growing organization that is changing transforming the lives of millions of children in developing countries on literacy and gender equality in education. Room to Read is a child-safe organization. Room to Read is a child-safe organization. Room to Read's Core Values C - Collaboration A - Action R - Respect E - Education S - Scale About Room to Read: Founded in 2000 on the belief that World Change Starts with Educated Children®, Room to Read envisions a world free from illiteracy and gender inequality, where all children have room to read, learn and grow – creating lasting change . Our Literacy Portfolio trains and coaches teachers of the early grades in literacy instruction; creates and publishes quality books and curricular materials in local languages; and establishes children’s libraries filled with diverse children’s books that can be enjoyed at school and home. Our Gender Equality Portfolio supports adolescents, particularly girls, in developing life skills that promote gender equality, helping them to pursue lifelong learning and make informed decisions. We support young people of all genders to overcome gender biases and build the knowledge and skills to create a gender-equal world. Room to Read collaborates with local communities, partner organizations, publishers, and governments to test and implement innovative models that can be integrated into the education system to deliver positive outcomes for children at scale. To date, Room to Read has benefited more than 50 million children in 28 countries. Learn more at www.roomtoread.org .

POSITION TITLE: Monitoring, Evaluation and Learning (MEL) Manager, EpiC India REPORTS TO: Team Leaders/Sr. Technical Advisor-HIV, EpiC India LOCATION: New Delhi, India DURATION: Till December 2025 (extendable subject to funding availability) About FHI 360 FHI 360 is a nonprofit human development organization dedicated to improving lives in lasting ways by advancing integrated, locally driven solutions. FHI 360’s technical areas encompass a range of public health priorities, including HIV and AIDS; family planning and reproductive health; maternal and child health; health systems strengthening; integrated health and development; and infectious diseases, including tuberculosis and malaria, and more recently COVID-19 and Mpox. For more information, visit: https://www.fhi360.org . Background (EpiC Project) Meeting Targets and Achieving Epidemic Control (EpiC) is a global project funded by the U.S. President’s Emergency Plan for AIDS Relief (PEPFAR) that provides strategic technical assistance and direct service delivery to achieve HIV epidemic control among at-risk populations and strengthen global health security. EpiC has been operational in India since 2021 and had been focusing on organizational capacity strengthening of community-based organizations (CBOs) working with vulnerable and at-risk populations in the states of Maharashtra and Telangana, and national level networks. Additionally, EpiC has been supporting lifesaving activities for people living with HIV (PLHIV) by addressing non-communicable disease (NCD) screening and management among adult/aging PLHIV clients; and enhancing engagement of young people living with HIV (YLHIV) for index testing and promotion of early initiation and retention on treatment, and responsible living through U=U messaging. In the light of the Executive Order issued by the Trump administration in January 2025, the EpiC India workplan for fiscal year 2025 is being revised to support implementation of lifesaving activities that align to the guidance issued by The Bureau of Global Health Security and Diplomacy (GHSD). In the PEPFAR supported geography of Maharashtra, EpiC is to: Accelerate early HIV case finding among hidden and unreached at-risk populations in community and facility settings to meet the 1st 95 goals. Support lifesaving care and treatment linkages through early linkage and retention on treatment, viral suppression to meet the 2nd and 3rd 95 goals. Address co-morbidities including mitigation of advanced HIV disease (AHD), tuberculosis (TB), opportunistic infections (OIs) and NCDs among adult PLHIV. Job Summary FHI 360 is seeking applications from qualified and experienced candidates to fill a new position of Monitoring, Evaluation and Learning (MEL) Manager for EpiC India. The incumbent is to be based at the FHI 360 Country Office in New Delhi and will be responsible for all strategic information (SI) responsibilities related to the project, including all monitoring, evaluation, analytics, reporting and documentation of performance and results. The MEL Manager will work closely with the project leadership, state and district level program and SI team members of EpiC and sub-grantee partners, to enhance or develop systems across sites and technical/thematic areas to support monitoring of service delivery and performance in real-time to improve service quality and impact and to meet reporting requirements. S/he will work across technical teams to provide consistent guidance and training on appropriate results frameworks and knowledge management practices for the project and its strategies. The MEL Manager will systematically strengthen the alignment of program strategies and activities to lessons learned from program data and client experiences. Job Responsibilities: Set-up / enhance the MEL and performance reporting system for the EpiC project, which will include working with the program team and sub-grantees to collect, analyze, monitor and report on performance of HIV services and activities. Develop tools and formats for data collection, analysis, interpretation and reporting in line with USAID’s latest MER indicators. Support the program team in defining the M&E roles of sub-grantees, reporting frequency, review mechanisms and set-up standardized monitoring mechanisms. Routinely support capacity building of EpiC and sub-grantee staff on M&E and ensure that the teams are oriented on the latest MER indicators and NACO/SACS M&E guidance and confidentiality norms. Review M&E data and reports from the field and ensure their accuracy and appropriateness by analyzing and interpreting the data, and support in data triangulation, visualization to track and monitor progress against targets. Facilitate routine quality checks and validation of sub-grantee/s data and provide feedback to the field staff based on the quality checks and validation exercise. Ensure adherence to quarterly data quality audits as required by donor/EpiC HQ. Ensure that supporting documentation is maintained for all data that is reported to FHI 360 HQ, USAID/PEPFAR, NACO, SACS and DAPCU and entered timely in DATIM. Support the EpiC program team in compilation of the monthly, quarterly and semi-annual progress reports and Plan of Action for Results Tracking (POART) slides and other ad hoc reporting requests. Liaise with relevant technical advisers and counterparts responsible for strategic information (SI) and M&E at EpiC HQ, and support coordination for country-level assistance as needed. Strengthen knowledge management deliverables for the project including documentation of case studies, success stories and other reports. Minimum Qualifications: Master’s degree or higher in epidemiology, M&E, demography, biostatistics, statistics, analytics, public health or other relevant discipline. Minimum 8 year experience on designing, establishing, and managing M&E systems, ensuring data quality, and analyzing data to support performance improvement of programs. Experience of working on M&E system for HIV programs is essential. Previous experience working with USAID or PEPFAR supported program is preferable. Demonstrated expertise in data analysis, managing online databases to ensure easy access to data and data reports, experience in Tableau or Power BI preferred. Demonstrated ability to perform complex data analytics utilizing Microsoft Excel, STATA, Epi Info; and/or software. Demonstrated ability to perform complex data analyses and make recommendations based on findings. Demonstrated working knowledge of the Indian health and social service information systems and M&E processes as it relates to data collection for performance-based reporting. Fluency in interpersonal, writing and oral presentation skills in English. The position will be based in New Delhi, India and work out of the FHI 360 Country office and is open for Indian national candidates only. This job description summarizes the main duties of the job. It neither prescribes nor restricts the exact tasks that may be assigned to carry out these duties. This document should not be construed in any way to represent a contract of employment. Management reserves the right to review and revise this document at any time. Suitably qualified candidates openly living with HIV are also actively encouraged to apply. Compensation: Compensation levels at FHI 360 are equivalent to market rates within the development sector. However, offers shall be based on salary history, relevant experience, and qualifications. Please send your resumes to hrindia@fhi360.org. It is necessary to mention the post title in the subject line while applying. Only short-listed candidates will be notified. No calls/ emails will be entertained. This job posting summarizes the main duties of the job. It neither prescribes nor restricts the exact tasks that may be assigned to carry out these duties. This document should not be construed in any way to represent a contract of employment. Management reserves the right to review and revise this document at any time. FHI 360 is an equal opportunity and affirmative action employer whereby we do not engage in practices that discriminate against any person employed or seeking employment based on race, color, religion, sex, sexual orientation, gender identity, national or ethnic origin, age, marital status, physical or mental disability, protected Veteran status, or any other characteristic protected under applicable law. Our values and commitments to safeguarding: FHI 360 is committed to preventing any type of abuse, exploitation and harassment in our work environments and programs, including sexual abuse, exploitation and harassment. FHI 360 takes steps to safeguard the welfare of everyone who engages with our organization and programs and requires that all personnel, including staff members and volunteers, share this commitment and sign our code of conduct. All offers of employment will be subject to appropriate screening checks, including reference, criminal record and terrorism finance checks. FHI 360 also participates in the Inter-Agency Misconduct Disclosure Scheme (MDS), facilitated by the Steering Committee for Humanitarian Response. In line with the MDS, we will request information from job applicants’ previous employers about any substantiated findings of sexual abuse, exploitation and/or harassment during the applicant’s tenure with previous employers. By applying, job applicants confirm their understanding of these recruitment procedures and consent to these screening checks. FHI 360 will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws. FHI 360 will never ask you for your career site username or password, and we will never request money, goods or services during the application, recruitment or employment process. If you have questions or concerns about correspondence from us, please email CareerCenterSupport@fhi360.org . FHI 360 fosters the strength and health of its workforce through a competitive benefits package , professional development and policies and programs that support a healthy work/life balance. Join our global workforce to make a positive difference for others — and yourself.

Data Scientist, Product - Data Solutions Gurgaon, India Information Technology 304894 Job Description About The Role: Grade Level (for internal use): 08 The Team: You will become a member of the Data Solutions group. We provide solutions to all stakeholders across multiple products. Our key clients are the Tier-1 Custodians, Asset Managers and Investment Banks. We see growth in providing solutions to asset managers, wealth managers and other stake holders in the capital markets space. The Impact: You will be part of a team that develops innovative solutions, derives actionable insights from data, which helps drive the client engagement and business. The candidate would be a critical part of data science and automation projects which will add value and propel the analysis and research of this critical team. The solutions you will work on will enhance the existing products and provide actionable intelligence to our clients. What’s in it for you: Exposure to latest technologies in the space of data analytics & science, Gen AI. Develop data and analytical skills. Opportunities to work on cross-team initiatives and collaborative projects. What you will work on: Automate processes and workflows using Python Develop and optimize natural language processing (NLP/NLG) models. Derive value and insights from large datasets to enable business decisions and strategy. Collaborate with cross-functional teams to integrate NLP/LLM solutions into existing products. Handle large amounts of data from multiple and disparate sources. Analyze the data and the results to ensure data quality, statistical relevance, etc. with a critical mindset. Establish necessary business and domain knowledge to correctly interpret data and results. Bring analytical rigor and statistical methods to the challenges of measuring data quality, product performance, anticipating and interpreting the behavior of end-user. Who you are: Hands on project lifecycle experience, from business analysis to productization Strong programming skills in Python including experience with libraries such as TensorFlow, PyTorch and Hugging Face transformers. Proven experience in developing NLP/NLG models Deep understanding of machine learning principles and NLP techniques Experience working with large language models (LLMs) like GPT, BERT etc Familiarity with cloud platforms (like AWS) for model deployment and scaling Experience with data extraction with SQL etc. Able to translate business problems into problems that can be solved with Data Science Ability to communicate ideas and analysis results effectively both verbally and in writing to a non-technical audience. Bachelor of Science or certified in a quantitative discipline (e.g., Computer Science, Data Science, Statistics, etc.) 4-5 years of professional experience in Advanced Analytics / Data Science / Machine Learning preferably in Finance and/or Reference Data space. About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. For more information, visit www.spglobal.com/marketintelligence. What’s In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. - Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf - 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH203 - Entry Professional (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 304894 Posted On: 2025-06-17 Location: Gurgaon, Haryana, India

202503448 Thane, Maharashtra, India Bevorzugt Description Primary responsibilities include the following: Processing the monthly cash reconciliations received from the onshore team. Processing monthly / quarterly cash flows in the prescribed format or as advised by the Onshore Team. Processing of year-end accounts. This entails the following processes: Creating an opening trial balance using the Onshore Team’s signed financial accounts copy and entering them into the extended trial balance. Entering the onshore team cashbook into the extended trial balance to record the cash movements into the year-end trial balance. Preparing schedules for the fund accounts. Analyzing the investment reports into managed funds, segregated investments, derivatives, pooled investment vehicles, etc. Ensuring the unit reconciliation and market value reconciliation vis-a-vis book cost reconciliation. Ensuring that the investment schedules are prepared per the pension guidelines i.e. under SORP regulation. Preparing the Annual Reports in the accounting software prescribed by the onshore team Processing the Accounting For Tax returns and Office for National Statistics returns Updating the databases for all jobs on a regular basis. Sending queries and follow up of queries related to cash reconciliations, cash flows, management accounts, year-ends and quarterly returns Adherence to Onshore Team deadlines and the utilization requirements. Coordinating with the Onshore Teams on calls and emails with regards to the missing information and queries. Any other additional responsibility to commensurate with project requirements. Key activities in the job include: Helping / assisting other team members & seniors in completing / meeting deadlines after finishing self-tasks. Adhering to any compliance and governance requirements of the organization Qualifications B. Com / BAF / M. Com Technical Skills Journal Entries Bank Reconciliation Ledger Posting Ledger Scrutiny Basic accounting skills Finalisation of accounts Booking closing entries – (Accruals / Prepayments, etc.) Preparing Trading, P & L A/C and Balance Sheet. Technicalities of Investment Analysis and/or mutual fund concepts Understanding of UK Pension regulations (not mandatory) Good verbal and written communication skills Good working knowledge of the Microsoft office, particularly Word & Excel Attention to detail is vital to succeed in this role Energetic, enthusiastic individuals Logical thinking skillset is a must Ability to learn new processes and systems, also should have the ability to adapt to changes Ability to prioritise and organise tasks, work within stiff timelines Ability to work independently and as part of a team. Able to get on with others; be a team-player Ability to work under pressure, do multi-tasking and meet tight deadlines. Should be a quick learner and team player. Willing to work in rotational shifts

Senior Applied Scientist Bangalore, Karnataka, India Date posted Jun 17, 2025 Job number 1832605 Work site Up to 50% work from home Travel 0-25 % Role type Individual Contributor Profession Research, Applied, & Data Sciences Discipline Applied Sciences Employment type Full-Time Overview Microsoft Teams is the hub for teamwork that integrates all the people, content, and tools your team needs to be more engaged and effective. It is core to Microsoft’s modern work, modern life & modern education value prop. We are reinventing the way people communicate and work together across the globe. We own the infrastructure that enables complex orchestration of Copilot workflows to put powerful AI capabilities at the user’s fingertips. AI is now going through a transformational change with the advent for LLMs, we need an individual who has expertise in working with Large Language models (LLMs) who has designed scalable systems using LLMs. As a Senior Applied Scientist you will need to design and build systems that allow LLMs to reason over large amounts of data as well as leveraging lighter weight models in place for specific scenarios for specific scenarios. We are looking for an individual who has the proven capability of working with research teams and partnering with them to deliver joint solutions. This can range from working together to build fine-tuned models to coming up with ways to build custom LLMs for specific product needs. We are excited to hear from candidates who are passionate about making a significant impact on how people interact with their computers in the last 30 years, and who are excited about the opportunity to be at the forefront of growing new business for Microsoft. This is a rare chance to be part of a cutting-edge technology that is poised to revolutionize productivity and innovation. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications Required Qualifications: Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. 4+ years of experience with design, implementation, debugging and testing of complex distributed services. 3+ years of experience shipping products through more than one development cycle. 3+ years of experience working on Machine Learning models specifically with Natural language-based models, vector databases and graph databases. Demonstrated experience working with Large Language Models and prompt engineering. Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications: Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical OR Computer Engineering, OR related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. 3+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers). 6+ years of experience in machine learning. 3+ years using ML tools like Pytorch and TensorFlow. Practical experience developing applications using prompt engineering, fine tuning, Open AI or Azure Open AI APIs. System development skills, with a long-range system view that leverages development ranging from rapid research prototypes to carefully architected complex systems. Responsibilities Conduct applied science experiments, create and validate metrics, develop ML pipeline and modeling algorithm in the area of Large Language Models, Natural Language Processing, Information Retrieval, and Machine Learning. Develop and deploy conversational and language understanding models at scale. Follow and advance best practices for Responsible AI and Privacy Preserving Machine Learning. Collaborate closely with Microsoft Research, Microsoft AI groups, Microsoft Azure, AI platform teams, and product teams to create the next generation of AI innovation in our products and services. Embody our culture and values. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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