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

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

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

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

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

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

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

Key Responsibilities Data Science Leadership : Utilize in-depth knowledge of data science and data analytics to architect and drive strategic initiatives across departments. Stakeholder Collaboration : Work closely with cross-functional teams to define and implement data strategies aligned with business objectives. Model Development : Design, build, and deploy predictive models and machine learning algorithms to solve complex business problems and uncover actionable insights. Integration and Implementation : Collaborate with IT and domain experts to ensure smooth integration of data science models into existing business workflows and systems. Innovation and Optimization : Continuously evaluate new data tools, methodologies, and technologies to enhance analytical capabilities and operational efficiency. Data Governance : Promote data quality, consistency, and security standards across the organization. Required Qualifications Bachelors or Masters Degree in Economics, Statistics, Data Science, or a related field. A minimum of 8 years of relevant experience in data analysis, data science, or analytics roles. At least 3 years of direct experience as a Data Scientist, preferably in enterprise or analytics lab environments. Possession of at least one recognized data science certification, such as : Certified Analytics Professional (CAP) Google Professional Data Engineer Proficiency in data visualization and storytelling tools and libraries, such as Matplotlib, Seaborn, and Tableau. Strong foundation in statistical modeling and risk analytics, with proven experience building and validating such models. Preferred Skills And Attributes Strong programming skills in Python, R, or similar languages. Experience with cloud-based analytics platforms (AWS, GCP, or Azure). Familiarity with data engineering concepts and tools (e.g., SQL, Spark, Hadoop). Excellent problem-solving, communication, and stakeholder engagement skills. Ability to manage multiple projects and mentor junior team members. (ref:hirist.tech) Show more Show less

Job Description We are looking for an experienced Data Scientist / AI Developer with a strong foundation in classical machine learning, deep learning, natural language processing (NLP), and generative AI. You will be responsible for designing and implementing AI models, including fine-tuning large language models (LLMs), and developing innovative solutions to solve complex problems in a variety of domains. Key Responsibilities : . Develop and implement machine learning models and deep learning algorithms for various use cases. Work on NLP projects involving text classification, language modelling, entity recognition, and sentiment analysis. Leverage generative AI techniques to create innovative solutions and models for content generation, summarization, and translation tasks. Fine-tune large language models (LLMs) to optimize performance for specific tasks or applications. Collaborate with cross-functional teams to design AI-driven solutions that address business problems. Analyse large-scale datasets, perform data pre-processing, feature engineering, and model evaluation. Stay updated with the latest advancements in AI, ML, NLP, and LLMs to continuously improve models and methodologies. Present findings and insights to stakeholders in a clear and actionable manner. Build and maintain end-to-end machine learning pipelines for scalable deployment. Required Skills Strong expertise in supervised and unsupervised machine learning techniques. Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or Keras. Solid experience in Natural Language Processing (NLP), including tokenization, embeddings, and sequence modelling. Hands-on experience with generative AI models and their practical applications. Proven ability to fine-tune large language models (LLMs) for specific tasks. Strong programming skills in Python and familiarity with libraries like Scikit-learn, NumPy, and pandas. Experience in handling large datasets and working with databases (SQL, NoSQL). Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization tools (Docker, Kubernetes). Deep expertise in computer vision, including techniques for object detection, image segmentation, image classification, and feature extraction. Strong problem-solving skills, analytical thinking, and attention to detail. Preferred Skills Proven experience in fine-tuning LLMs (like llama series, mistral) for specific tasks and optimizing their performance. Expertise in computer vision techniques, including object detection, image segmentation, and classification. Proficiency with YOLO algorithms and other state-of-the-art computer vision models. Hands-on experience in building and deploying models in real-time applications or production environments. Qualifications 3+ years of relevant experience in AI, ML, NLP, or related fields. Bachelors or Masters degree in Computer Science, Statistics, or a related discipline. (ref:hirist.tech) Show more Show less

Role : Senior Data Scientist Experience : 8+ Location : Ghaziabad Responsibilities Possesses deep expertise in data analysis, data science, and data management, with a focus on data lab or analytics-driven environments. Collaborates with stakeholders to design and implement data strategies that align with organizational goals. Develops and deploys predictive models and machine learning algorithms to address business challenges and deliver actionable insights. Works in close coordination with domain experts and IT teams to seamlessly integrate data science solutions into existing systems and workflows. Qualification Bachelors Degree/masters degree or Equivalent in Economics, Statistics, Data Science or related field. 8+ Years of relevant experience. 3+ Years of experience as Data Scientist. Certifications in data science, machine learning, or related areas Minimum one required from Certified Analytics Professional (CAP)/AWS Certified Big Data Specialty/Google Professional Data Engineer. Experience in data visualization tools (e.g., Matplotlib, Seaborn, Tableau etc.). Prior experience of statistical/risk modelling. (ref:hirist.tech) Show more Show less

About ISOCRATES Since 2015, iSOCRATES advises on, builds and manages mission-critical Marketing, Advertising and Data technologies, platforms, and processes as the Global Leader in MADTECH Resource Planning and Execution(TM). iSOCRATES delivers globally proven, reliable, and affordable Strategy and Operations Consulting and Managed Services for marketers, agencies, publishers, and the data/tech providers that enable them. iSOCRATES is staffed 24/7/365 with its proven specialists who save partners money, and time and achieve transparent, accountable, performance while delivering extraordinary value. Savings stem from a low-cost, focused global delivery model at scale that benefits from continuous re-investment in technology and specialized training. About MADTECH.AI MADTECH.AI is the Unified Marketing, Advertising, and Data Decision Intelligence Platform purpose-built to deliver speed to value for marketers. At MADTECH.AI, we make real-time AI-driven insights accessible to everyone. Whether you’re a global or emerging brand, agency, publisher, or data/tech provider, we give you a single source of truth - so you can capture sharper insights that drive better marketing decisions faster and more affordable than ever before. MADTECH.AI unifies and transforms MADTECH data and centralizes decision intelligence in a single, affordable platform. Leave data wrangling, data model building, proactive problem solving, and data visualization to MADTECH.AI. Job Description iSOCRATES is seeking a highly skilled and experienced Lead Data Scientist to spearhead our growing Data Science team. The Lead Data Scientist will be responsible for leading the team that defines, designs, reports on, and analyzes audience, campaign, and programmatic media trading data. This includes working with selected partner-focused Managed Services and Outsourced Services on behalf of our supply-side and demand-side partners. The role will involve collaboration with cross-functional teams and working across a variety of media channels, including digital and offline channels such as display, mobile, video, social, native, and advanced TV/Audio ad products. Key Responsibilities Team Leadership & Management: Lead and mentor a team of data scientists to drive the design, development, and implementation of data-driven solutions for media and marketing campaigns. Advanced Analytics & Data Science Expertise: Provide hands-on leadership in applying rigorous statistical, econometric, and Big Data methods to define requirements, design analytics solutions, analyze results, and optimize economic outcomes. Expertise in modeling techniques including propensity modeling, Media Mix Modeling (MMM), Multi-Touch Attribution (MTA), Recency, Frequency, Monetary (RFM) analysis, Bayesian statistics, and non-parametric methods. Generative AI & NLP: Lead the implementation and development of Generative AI, Large Language Models, and Natural Language Processing (NLP) techniques to enhance data modeling, prediction, and analysis processes. Data Architecture & Management: Architect and manage dynamic data systems from diverse sources, ensuring effective integration and optimization of audience, pricing, and contextual data for programmatic and digital advertising campaigns. Oversee the management of DSPs, SSPs, DMPs, and other data systems integral to the ad-tech ecosystem. Cross-Functional Collaboration: Work closely with Product, System Development, Yield, Operations, Finance, Sales, Business Development, and other teams to ensure seamless data quality, completeness, and predictive outcomes across campaigns. Design and deliver actionable insights, creating innovative, data-driven solutions and reporting tools for use by both iSOCRATES teams and business partners. Predictive Modeling & Optimization: Lead the development of predictive models and analyses to drive programmatic optimization, focusing on revenue, audience behavior, bid actions, and ad inventory optimization (eCPM, fill rate, etc.). Monitor and analyze campaign performance, making data-driven recommendations for optimizations across various media channels including websites, mobile apps, and social media platforms. Data Collection & Quality Assurance: Oversee the design, collection, and management of data, ensuring high-quality standards, efficient storage systems, and optimizations for in-depth analysis and visualization. Guide the implementation of tools for complex data analysis, model development, reporting, and visualization, ensuring alignment with business objectives. Qualifications Master’s or Ph.D. in Statistics, Engineering, Science, or Business with a strong foundation in mathematics and statistics. Looking for an experience of 8 to 10 years with at least 5 years of hands-on experience in data science, predictive analytics, media research, and digital analytics, with a focus on modeling, analysis, and optimization within the media, advertising, or tech industry. At least 3 years of hands-on experience with Generative AI, Large Language Models, and Natural Language Processing techniques. Minimum 3 years of experience in Publisher and Advertiser Audience Data Analytics and Modeling. Proficient in data collection, business intelligence, machine learning, and deep learning techniques using tools such as Python, R, scikit-learn, Hadoop, Spark, MySQL, and AWS S3. Expertise in logistic regression, customer segmentation, persona building, and predictive analytics. Strong analytical and data modeling skills with a deep understanding of audience behavior, pricing strategies, and programmatic media optimization. Experience working with DSPs, SSPs, DMPs, and programmatic systems. Excellent communication and presentation skills, with the ability to communicate complex technical concepts to non-technical stakeholders. Ability to manage multiple tasks and projects effectively, both independently and in collaboration with remote teams. Strong problem-solving skills with the ability to adapt to evolving business needs and deliver solutions proactively. Experience in developing analytics dashboards, visualization tools, and reporting systems. Background in digital media optimization, audience segmentation, and performance analytics. This is an exciting opportunity to take on a leadership role at the forefront of data science in the digital media and advertising space. If you have a passion for innovation, a strong technical background, and the ability to lead a team toward impactful, data-driven solutions, we encourage you to apply. An interest and ability to work in a fast-paced operation on the analytics and revenue side of our business Willing to relocate to Mysuru/ Bengaluru Show more Show less

Job Description Senior Specialist - Data Science At our company we are leveraging analytics and technology, as we invent for life on behalf of patients around the world. We are seeking those who have a passion for using data, analytics, and insights to drive decision making, that will allow us to tackle some of the world’s greatest health threats. Within our commercial Insights, Analytics, and Data organization we are transforming to better power decision-making across our end-to-end commercialization process, from business development to late lifecycle management. As we endeavor, we are seeking a dynamic talent to serve in the role of Senior Specialist - Data Science. This role involves working with our partners in different Therapeutic areas (e.g. Oncology, Vaccines, Pharma & Rare Disease, etc.) and Domain areas (HCP Analytics, Patient Analytics, Segmentation & targeting, Market Access, etc.) across the organization to help create scalable and production-grade analytics solutions, ranging from data visualization and reporting to advanced statistical and AI/ML models. You will work in one of the three therapeutic areas of Brand Strategy and Performance Analytics – Oncology/Vaccines/Pharma & Rare Disease, where you will play a pivotal role in leveraging your statistical and machine learning expertise to address critical business challenges and derive insights to drive key decisions. Working alongside experienced data scientists and business analysts, you will have the opportunity to collaborate in translating business queries into analytical problems, employing your critical thinking, problem-solving, statistical, machine learning, and data visualization skills to deliver impactful solutions. We are seeking candidates with prior expertise in the healthcare analytics or consulting sectors, prior experience in leading Data Science teams and delivering end-to-end data science projects against business priorities. Thorough understanding of different Physician and Patient-level data (PLD) from leading vendors such as IQVIA, Komodo, and Optum is expected. Extensive experience on commercial pharma analytics (HCP Analytics, PLD analytics, concepts like persistence, compliance, line of therapy, etc., or Segmentation & Targeting). You will collaborate with Market leaders to answer critical business questions using data science solutions. You will be part of a dynamic team that collaborates with our partners across therapeutic areas. Furthermore, effective communication skills are crucial, as this role requires interfacing with executive and business stakeholders. Who You Are You understand the foundations of statistics and machine learning and can work in high performance computing/cloud environments, with experience/knowledge in aspects across statistical analysis, machine learning, model development, data engineering, data visualization, and data interpretation You are self-motivated, and have demonstrated abilities to think independently as a data scientist You structure your data science approach according to the necessary task, while appropriately applying the correct level of model complexity to the problem at hand You have an agile mindset of continuous learning and will focus on integrating enterprise value into team culture You are kind, collaborative, and capable of seeking and giving candid feedback that effectively contributes to a more seamless day-to-day execution of tasks Key Responsibilities Lead a moderate sized team of Data Scientist to solve complex business problems. Collaborate with business leaders to define and prioritize the business problems, work with the team to conceptualize the data science solution to address the problem Lead the end to end Program Management to ensure that team is working as per aligned business priorities Standardize and scale data science solutions to increase the delivery efficiency on prioritized work Collaborate with cross-functional teams to design and implement solutions that meet business requirements Define business & technical requirements (datasets, business rules, technical architecture), provide technical direction to the team and manage end-to-end projects Present the findings to senior business stakeholders in a clear and concise manner Ensure the technical and professional development of junior team members by required mentorship and defining the career progression pathway Develop deep expertise in the therapeutic area of interest, contribute to thought leadership in the domain through publications and conference presentations. Minimum Qualifications Bachelor’s degree with 8-10 years industry experience Extensive experience in healthcare analytics or consulting sectors Extensive experience working with real world evidence (RWE) and patient level data (PLD) from leading vendors such as IQVIA, Komodo, Optum etc. Extensive experience in HCP Analytics, Segmentation and Targeting and Patient Level Data analytics (e.g., creating Patient Cohorts, knowledge of Lines of Therapy, Persistency, Compliance, etc.) Experience in project management, senior level stakeholder management Experience in leading small sized teams Strong Python/R, SQL, Excel skills Strong foundation of statistics and machine learning Preferred Qualifications Advanced degree in STEM (MS, MBA, PhD) Experience in Oncology/Vaccine/Pharma & Rare Diseases therapeutic area commercial analytics Experience of supporting End to End Program Management Our Human Health Division maintains a “patient first, profits later” ideology. The organization is comprised of sales, marketing, market access, digital analytics and commercial professionals who are passionate about their role in bringing our medicines to our customers worldwide. We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively. We are an equal opportunity employer, committed to fostering an inclusive and diverse workplace. Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status Regular Relocation VISA Sponsorship Travel Requirements Flexible Work Arrangements Not Applicable Shift Valid Driving License Hazardous Material(s) Required Skills Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Software Development, Stakeholder Relationship Management, Waterfall Model Preferred Skills Job Posting End Date 07/15/2025 A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID R337095 Show more Show less

Job Description Senior Specialist - Data Science At our company we are leveraging analytics and technology, as we invent for life on behalf of patients around the world. We are seeking those who have a passion for using data, analytics, and insights to drive decision making, that will allow us to tackle some of the world’s greatest health threats. Within our commercial Insights, Analytics, and Data organization we are transforming to better power decision-making across our end-to-end commercialization process, from business development to late lifecycle management. As we endeavor, we are seeking a dynamic talent to serve in the role of Analyst - Data Science. This role involves working with our partners in different Therapeutic areas (e.g. Oncology, Vaccines, Pharma & Rare Disease, etc.) and Domain areas (HCP Analytics, Patient Analytics, Segmentation & targeting, Market Access, etc.) across the organization to help create scalable and production-grade analytics solutions, ranging from data visualization and reporting to advanced statistical and AI/ML models. You will work in one of the three therapeutic areas of Brand Strategy and Performance Analytics – Oncology/Vaccines/Pharma & Rare Disease, where you will play a pivotal role in leveraging your statistical and machine learning expertise to address critical business challenges and derive insights to drive key decisions. Working alongside experienced data scientists and business analysts, you will have the opportunity to collaborate in translating business queries into analytical problems, employing your critical thinking, problem-solving, statistical, machine learning, and data visualization skills to deliver impactful solutions. We are seeking candidates with prior expertise in the healthcare analytics or consulting sectors, prior experience in leading Data Science teams and delivering end-to-end data science projects against business priorities. Thorough understanding of different Physician and Patient-level data (PLD) from leading vendors such as IQVIA, Komodo, and Optum is expected. Extensive experience on commercial pharma analytics (HCP Analytics, PLD analytics, concepts like persistence, compliance, line of therapy, etc., or Segmentation & Targeting). You will collaborate with Market leaders to answer critical business questions using data science solutions. You will be part of a dynamic team that collaborates with our partners across therapeutic areas. Furthermore, effective communication skills are crucial, as this role requires interfacing with executive and business stakeholders. Who You Are You understand the foundations of statistics and machine learning and can work in high performance computing/cloud environments, with experience/knowledge in aspects across statistical analysis, machine learning, model development, data engineering, data visualization, and data interpretation You are self-motivated, and have demonstrated abilities to think independently as a data scientist You structure your data science approach according to the necessary task, while appropriately applying the correct level of model complexity to the problem at hand You have an agile mindset of continuous learning and will focus on integrating enterprise value into team culture You are kind, collaborative, and capable of seeking and giving candid feedback that effectively contributes to a more seamless day-to-day execution of tasks Key Responsibilities Lead a moderate sized team of Data Scientist to solve complex business problems. Collaborate with business leaders to define and prioritize the business problems, work with the team to conceptualize the data science solution to address the problem Lead the end to end Program Management to ensure that team is working as per aligned business priorities Standardize and scale data science solutions to increase the delivery efficiency on prioritized work Collaborate with cross-functional teams to design and implement solutions that meet business requirements Define business & technical requirements (datasets, business rules, technical architecture), provide technical direction to the team and manage end-to-end projects Present the findings to senior business stakeholders in a clear and concise manner Ensure the technical and professional development of junior team members by required mentorship and defining the career progression pathway Develop deep expertise in the therapeutic area of interest, contribute to thought leadership in the domain through publications and conference presentations. Minimum Qualifications Bachelor’s degree with 8-10 years industry experience Extensive experience in healthcare analytics or consulting sectors Extensive experience working with real world evidence (RWE) and patient level data (PLD) from leading vendors such as IQVIA, Komodo, Optum etc. Extensive experience in HCP Analytics, Segmentation and Targeting and Patient Level Data analytics (e.g., creating Patient Cohorts, knowledge of Lines of Therapy, Persistency, Compliance, etc.) Experience in project management, senior level stakeholder management Experience in leading small sized teams Strong Python/R, SQL, Excel skills Strong foundation of statistics and machine learning Preferred Qualifications Advanced degree in STEM (MS, MBA, PhD) Experience in Oncology/Vaccine/Pharma & Rare Diseases therapeutic area commercial analytics Experience of supporting End to End Program Management Our Human Health Division maintains a “patient first, profits later” ideology. The organization is comprised of sales, marketing, market access, digital analytics and commercial professionals who are passionate about their role in bringing our medicines to our customers worldwide. We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively. We are an equal opportunity employer, committed to fostering an inclusive and diverse workplace. Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status Regular Relocation VISA Sponsorship Travel Requirements Flexible Work Arrangements Hybrid Shift Valid Driving License Hazardous Material(s) Required Skills Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Software Development, Stakeholder Relationship Management, Waterfall Model Preferred Skills Job Posting End Date 07/15/2025 A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID R335740 Show more Show less

Job Description Intern, Global Commercial Pharma Pipeline Analytics Our Human Health Digital Data and Analytics team is innovating how we understand our patients and their needs. Working cross functionally we are inventing new ways of engaging, interacting with our customers and patients leveraging digital, data and analytics and measuring the impact. The Internship Program at our company features Cooperative (Co-op) education that lasts up to 6 months and will include one or more projects. These opportunities in our Human Health division can provide you with great development and a chance to see if we are the right company for your long-term goals. The program allows students to work on one or more data science projects within our Company's Human Health Commercial division. These opportunities are designed to facilitate the transition from academia to industry for soon-to-be graduates and will involve participation and contribution in real projects being carried out by our company’s data science team. This is also a way for you to identify if our company may be the right company for your long-term career goals. These positions are typically 3-6 months long and have various start dates throughout the year. Most of the projects will involve analyses in support of our company's commercial objectives. Candidates will be responsible for providing analytical and technical support, which includes the collection and analysis of internal and external pharmaceutical data to assist in making meaningful business decisions. Candidates will help to solve novel commercial analytic questions through use of Advanced Analytics (AI/ML). Required Education And Skills Candidates must be currently enrolled in bachelor’s / master’s / PhD degree program in a Quantitative discipline such as Data Science, Statistics, Mathematics, Physics, Economics, Computational Biology, Engineering, Management or other relevant discipline. Candidates must be expected to graduate in the next 1-2 years. Candidates must have fluency in at least one programming environments such as SQL/Python and sound understanding of OOPs Candidates must have familiarity with the basics of data science and advanced statistical methods (clustering, regression, classification, etc.) and ability to determine the correct method for the task or have the willingness to learn the same Candidates must have demonstrated ability to problem solve independently on complex analytical projects Candidates must have an interest in supporting pharmaceutical data and analytics initiatives like segmentation & targeting, digital analytics, big data analytics, patient claims analytics Candidates will be required to serve as a quantitative methodology professional by developing creative analytical solutions and applying appropriate statistical and/or machine learning methodologies to answer novel commercial analytic questions Candidates should be effective oral and written communicators Candidates must be able to strike a balance between methodological rigor and project timelines/deliverables Preferred Experience And Skills Knowledge on MS Office Package - Excel and PPT is must Candidates having experience with one or more of the standard machine learning and data manipulation packages such as scikit-learn/NumPy/Pandas Candidates having familiarity with SQL & databases Redshift/Athena Candidates having familiarity with Natural Language Processing & Large Language Models Planned Learning Experience And Skills To gain experience in healthcare data, insights, and analytics Therapeutic area experience in infectious diseases/HIV, immunology, cardio-metabolic and/or ophthalmology diseases Global market exposure Our Human Health Division maintains a “patient first, profits later” ideology. The organization is comprised of sales, marketing, market access, digital analytics, and commercial professionals who are passionate about their role in bringing our medicines to our customers worldwide. Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status Intern/Co-op (Fixed Term) Relocation VISA Sponsorship Travel Requirements Flexible Work Arrangements Hybrid Shift Valid Driving License Hazardous Material(s) Required Skills Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Software Development, Stakeholder Relationship Management, Waterfall Model Preferred Skills Job Posting End Date 06/18/2025 A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID R345715 Show more Show less

At Jacobs, we're challenging today to reinvent tomorrow by solving the world's most critical problems for thriving cities, resilient environments, mission-critical outcomes, operational advancement, scientific discovery and cutting-edge manufacturing, turning abstract ideas into realities that transform the world for good. Your impact As Proposal Assistant you will provide ownership of the end-to-end opportunity, working with Subject Matter Experts to develop value propositions that position to win work You own the quality and presentation of our submissions and work with the teams to determine the best approach and style of response The working environment is fast paced, and it is essential to have the ability to balance technical and commercial differentiation to support the Sales Lead in presenting the perfect balance that wins projects which fit our vision You are to be effective at bringing the ideas of others to market; have good judgment about which ideas and suggestions could work; and be able to coordinate the work winning and creative process of others as part of an opportunity team either in a lead or coordinator capacity Working with a high degree of autonomy, you have excellent communication skills and are comfortable with managing priorities and deadlines Highly developed soft skills relating to facilitation, conflict resolution, time management, and instilling an inclusive culture within the opportunity team are all of value Assertiveness and influencing skills ensure your success working with stakeholders in this high-pressured environment. In addition, an ability to work and train team members to use Microsoft, CRM Salesforce, SharePoint, and InDesign are all considered advantageous This is the perfect role for someone who enjoys leading proposal sessions and developing outstanding content Jacobs’ Relationship-Based Sales methodology – Champion and lead the implementation of our Relationship-Based Sales (RBS) methodology – especially in Middle Game and End Game for Tier 1 & 2 pursuits. - Apply best practice RBS process to pursuits. Work with Sales Leads and Capture Managers/ Operations to develop B&P estimate, gain approval, regularly monitor B&P spending, and report any significant variances of the specific opportunities. SOX and ISO certification compliance for the entire proposal is adhered too as it related to the RBS/sales process as part of the opportunity close-out Particularly in relation to governance and recording of Bid/No Bid decisions, Green Reviews, and Sales to Operations handover. Develop understanding in review of client terms & conditions, pricing strategies and Jacobs’ financial metrics Work within core Sales Systems and Tools (e.g. CSP, SharePoint and Knowledge Centre). Sales and Marketing Materials & Knowledge Develop and maintain qualification materials including project descriptions, experience matrices/overviews, safety and quality statistics, capability statements. Work with Operations to capture and develop performance proofs and client testimonials relevant to the opportunity/proposals Collaborate with Sales Lead and Capture Manager/ Operations in developing distinctive value propositions that enhance our customers’ competitive position relating to Opening Game Share sales materials, information, knowledge, and best practices with other Sales Operations team members company wide Jacobs’ Brand Representative Lead by example, be proactive in ensuring health and safety of opportunity team throughout Be an advocate of our BeyondZero culture and company values. Lead compliance with our Corporate Identity Program and client confidentiality requirements for all sales documents relating to the opportunity/proposals Provide support to Global Sales e.g., timely preparation of press releases, providing input to our Annual Report, and support of Global Sales initiatives as appropriate Champion Jacobs brand, including working within Brand Guidelines for visual identity and brand voice Opening Game/ Market & Account Strategy - Partner with Market Sales Director, Head of Sector and S&T in key Opening Game activities, e.g. client, competitor & market research, development of Market Roadmaps. Support Sales Leads and Client Account Managers (CAMs) in key Opening Game activities, e.g. client, competitor and market research, development of documented Core Client Strategies, participation in 101s, development of Executive Summaries and White Papers For the industry sectors pursued by your team, develop an understanding of our corporate, regional, and office qualifications including technical, managerial, commercial and competitive strengths that differentiate Jacobs in the marketplace Leverage global network to identify & convey Jacobs’ unique capabilities & resources. Collaborate with S&T and Outside Sales to develop Capability Statements and White Papers. – Client Go / No Go and Account Reviews and Focus Windows as required Conduct/ facilitate 101 meetings for key accounts, in partnership with outside Sales. Middle Game (Opportunities) Organise, direct, and motivate a multidiscipline opportunity team to develop Middle Game win plans and strategic sales actions and deliverables, or stimulate the assignment of teams for assigned opportunities Actively initiate and partner with sales leads, CAMs and Capture Managers to develop and implement Middle Game action plan, e.g. document due diligence in project brief, develop Win Plan (G to VP), SWOT analysis, and Executive Summary, conduct initiate Go/No Go and strategy review, and identify delivery team. Actively work with Sales and Operations to develop, implement and monitor Middle Game actions, using Client Success Platform (CSP) [Salesforce] & SharePoint. - Conduct Opportunity Go/No Go and strategy reviews in CSP. - Develop Win Plan (Gaps to Value Proposition), SWOT analysis, and Executive Summary Identify execution/delivery teams, coach and support them in the win strategy Challenge concepts, solutions and assumptions in constructive ways to truly differentiate and develop unique value propositions. End Game (Bids & Proposals) Arrange or lead the planning and of all elements of End Game, e.g. analyse client request, develop response plan (B&P budget, response team, compliance check-list, response outline, schedule), initiate Go/No Go, conduct Pink Team, conduct kick-off meeting, manage and work with team to develop response sections, refine Executive Summary, conduct in-progress reviews, prepare Red Team package, incorporate Red Team input, schedule Pricing Reviews, ensure on-time delivery of response Champion use of Client Success Platform (CSP) for approvals & linked SharePoint for End Game document collaboration Analyse client requests & develop response plan (B&P budget, response team, compliance checklist, writing plan, response outline, schedule) When leading an opportunity; initiate Opportunity Bid/No-Bid meetings, conduct Pink Teams, conduct kick-off meetings and record all approvals in CSP, or else check compliance of opportunities assigned to you When leading an opportunity, manage and work with team to develop response sections, especially value propositions and Executive Summaries or else check compliance of opportunities When leading an opportunity conduct in-progress reviews, prepare Red Team package, incorporate Red Team input, Schedule Pricing Reviews. Conduct and record approvals in CSP or else check compliance of opportunities /proposals Ensure on-time delivery of any response within the assigned opportunity. - Support or check if the opportunity close out processes after submission including collaboration with knowledge management is completed. We value collaboration and believe that in-person interactions are crucial for both our culture and client delivery. We empower employees with our hybrid working policy, allowing them to split their work week between Jacobs offices/projects and remote locations enabling them to deliver their best work. Here's what you'll need Solution-selling strategy development Writing skills Marketing/sales coordination Facilitation, influencing and group process Opportunity/ bid / proposal management Business acumen Time management and task coordination Influencing stakeholders Show more Show less

At Cotality, we are driven by a single mission—to make the property industry faster, smarter, and more people-centric. Cotality is the trusted source for property intelligence, with unmatched precision, depth, breadth, and insights across the entire ecosystem. Our talented team of 5,000 employees globally uses our network, scale, connectivity and technology to drive the largest asset class in the world. Join us as we work toward our vision of fueling a thriving global property ecosystem and a more resilient society. Cotality is committed to cultivating a diverse and inclusive work culture that inspires innovation and bold thinking; it's a place where you can collaborate, feel valued, develop skills and directly impact the real estate economy. We know our people are our greatest asset. At Cotality, you can be yourself, lift people up and make an impact. By putting clients first and continuously innovating, we're working together to set the pace for unlocking new possibilities that better serve the property industry. Job Description In India, we operate as Next Gear India Private Limited, a fully-owned subsidiary of Cotality with offices in Kolkata, West Bengal, and Noida, Uttar Pradesh. Next Gear India Private Limited plays a vital role in Cotality's Product Development capabilities, focusing on creating and delivering innovative solutions for the Property & Casualty (P&C) Insurance and Property Restoration industries. While Next Gear India Private Limited operates under its own registered name in India, we are seamlessly integrated into the Cotality family, sharing the same commitment to innovation, quality, and client success. When you join Next Gear India Private Limited, you become part of the global Cotality team. Together, we shape the future of property insights and analytics, contributing to a smarter and more resilient property ecosystem through cutting-edge technology and insights. Company Description At CoreLogic, we are driven by a single mission—to make the property industry faster, smarter, and more people-centric. CoreLogic is the trusted source for property intelligence, with unmatched precision, depth, breadth, and insights across the entire ecosystem. Our talented team of 5,000 employees globally uses our network, scale, connectivity, and technology to drive the largest asset class in the world. Join us as we work toward our vision of fueling a thriving global property ecosystem and a more resilient society. CoreLogic is committed to cultivating a diverse and inclusive work culture that inspires innovation and bold thinking; it's a place where you can collaborate, feel valued, develop skills, and directly impact the insurance marketplace. We know our people are our greatest asset. At CoreLogic, you can be yourself, lift people up and make an impact. By putting clients first and continuously innovating, we're working together to set the pace for unlocking new possibilities that better serve the property insurance and restoration industry. Description We are seeking a highly skilled Lead Data Analyst to join our Analytics team to serve customers across the property insurance and restoration industries. As a Lead Data Analyst you will play a crucial role in developing methods and models to inform data-driven decision processes resulting in improved business performance for both internal and external stakeholder groups. You will be responsible for interpreting complex data sets and providing valuable insights to enhance the value of data assets. The successful candidate will have a strong understanding of data mining techniques, methods of statistical analysis, and data visualization tools. This position offers an exciting opportunity to work in a dynamic environment, collaborating with cross-functional teams to support decision processes that will guide the respective industries into the future. Responsibilities Collaborate with cross-functional teams to understand and document requirements for analytics products. Serve as the primary point of contact for new data/analytics requests and support for customers. Lead a team of analysts to deliver client deliverables on a timely manner. Act as the domain expert and voice of the customer to internal stakeholders during the analytics development process. Develop and maintain an inventory of data, reporting, and analytic product deliverables for assigned customers. Work with customer success teams to establish and maintain appropriate customer expectations for analytics deliverables. Create and manage tickets on behalf of customers within internal frameworks. Ensure timely delivery of assets to customers and aid in the development of internal processes for the delivery of analytics deliverables. Work with IT/Infrastructure teams to provide customer access to assets and support internal audit processes to ensure data security. Create and optimize complex SQL queries for data extraction, transformation, and aggregation. Develop and maintain data models, dashboards, and reports to visualize data and track key performance metrics. Conduct validation checks and implement error handling mechanisms to ensure data reliability. Collaborate closely with stakeholders to align project goals with business needs and perform ad-hoc analysis to provide actionable recommendations. Analyze large and complex datasets to identify trends, patterns, and insights, and present findings and recommendations to stakeholders in a clear and concise manner Job Qualifications 7+ years’ property insurance experience preferred 5+ years’ experience in management of mid-level professional teams or similar leadership position with a focus on data and/or performance management. Extensive experience in applying and/or developing performance management metrics for claims organizations. Bachelor’s degree in computer science, data science, statistics, or a related field is preferred. Mastery level knowledge of data analysis tools such as Excel, Tableau or Power BI. Demonstrated expertise in Power BI creating reports and dashboards, including the ability to connect to various data sources, prepare and model data, and create visualizations. Expert knowledge of DAX for creating calculated columns and measures to meet report-specific requirements. Expert knowledge of Power Query for importing, transforming, and shaping data. Proficiency in SQL with the ability to write complex queries and optimize performance. Strong knowledge of ETL processes, data pipeline and automation a plus. Proficiency in managing tasks with Jira is an advantage. Strong analytical and problem-solving skills. Excellent attention to detail and the ability to work with large datasets. Effective communication skills, both written and verbal. Excellent visual communications and storytelling with data skills. Ability to work independently and collaborate in a team environment. Cotality's Diversity Commitment Cotality is fully committed to employing a diverse workforce and creating an inclusive work environment that embraces everyone’s unique contributions, experiences and values. We offer an empowered work environment that encourages creativity, initiative and professional growth and provides a competitive salary and benefits package. We are better together when we support and recognize our differences. Equal Opportunity Employer Statement Cotality is an Equal Opportunity employer committed to attracting and retaining the best-qualified people available, without regard to race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, record of offences, age, marital status, family status or disability. Cotality maintains a Drug-Free Workplace. Please apply on our website for consideration. Privacy Policy Global Applicant Privacy Policy By providing your telephone number, you agree to receive automated (SMS) text messages at that number from Cotality regarding all matters related to your application and, if you are hired, your employment and company business. Message & data rates may apply. You can opt out at any time by responding STOP or UNSUBSCRIBING and will automatically be opted out company-wide. Connect with us on social media! 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Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager Job Description & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Creating business intelligence from data requires an understanding of the business, the data, and the technology used to store and analyse that data. Using our Rapid Business Intelligence Solutions, data visualisation and integrated reporting dashboards, we can deliver agile, highly interactive reporting and analytics that help our clients to more effectively run their business and understand what business questions can be answered and how to unlock the answers. Job Description: Machine Learning Analytics Manager (BFSI) We are seeking a highly skilled and experienced Machine Learning Analytics Manager with a minimum of 6 years of relevant experience, preferably in the BFSI (Banking, Financial Services, and Insurance) industry. As a Machine Learning Analytics Manager, you will play a key role in leading our data analytics team and driving innovative solutions using machine learning techniques. Responsibilities:  Team Leadership: Lead and mentor a team of data scientists, analysts, and machine learning engineers to deliver impactful data-driven insights and solutions. Provide guidance and support in problem-solving, algorithm development, and model evaluation.  Machine Learning Strategy: Collaborate with cross-functional teams to identify and prioritize business challenges that can be addressed through machine learning and data analytics. Develop a comprehensive machine learning strategy aligned with the company's objectives.  Model Development: Oversee the development of machine learning models and algorithms, including supervised and unsupervised learning methods, regression models, neural networks, and decision trees.  Data Analysis: Conduct exploratory data analysis to understand underlying patterns, trends, and opportunities in large and complex datasets related to BFSI operations.  Model Deployment: Drive the integration of machine learning models into production systems, ensuring scalability, efficiency, and accuracy in real-world applications.  Risk Analysis: Utilize machine learning techniques to assess and mitigate risks in the BFSI domain, including credit risk, fraud detection, and market risk.  Performance Monitoring: Implement monitoring mechanisms to track model performance and provide continuous improvement to ensure the models' effectiveness over time.  Collaborative Projects: Collaborate with cross-functional teams, including product managers, business analysts, and IT professionals, to design and implement data- driven solutions for various business use cases.  Industry Trends: Stay updated with the latest developments and best practices in machine learning, data analytics, and the BFSI industry, and incorporate relevant advancements into the team's projects. Requirements:  Master's degree in Computer Science, Statistics, Mathematics, or a related field.  6+ years of hands-on experience in machine learning and data analytics, with a significant focus on BFSI applications.  Proficiency in programming languages such as Pyspark, Python or R, experience working with data visualization tools, Azure, AWS, GCP (any one cloud solution)  Extensive knowledge of machine learning algorithms and techniques, including supervised and unsupervised learning, time series analysis, and natural language processing.  Strong leadership and team management skills, with the ability to drive projects and collaborate effectively with cross-functional teams and stakeholder management.  Demonstrated expertise in deploying machine learning models in real-world applications, preferably in the BFSI industry. Excellent problem-solving and analytical skills, with a data-driven approach to decision-making.  Strong communication skills, both written and verbal, to present complex technical concepts to non-technical stakeholders Mandatory Skills: Machine Learning Preferred Skills: Machine Learning Years of Experience: 8-10 Qualifications: BTech Required Skills Machine Learning Optional Skills Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date Show more Show less

Deadline for sending application: 30/06/2025at 12.00 noon (CET). WE ARE The European External Action Service (EEAS) supports the High Representative in the exercise of her mandate to conduct and implement an effective and coherent Union’s Common Foreign and Security Policy (CFSP), to represent the EU and to chair the Foreign Affairs Council. It also supports the High Representative in her capacity as Vice-President of the Commission with regard to her responsibilities within the Commission in the external relations field, including the coordination of other aspects of the EU's external action. The EEAS works in close cooperation with the EU Member States, the General Secretariat of the Council, the services of the Commission and the Secretariat General of the European Parliament. The Civilian Operations Headquarters (CivOpsHQ) is the permanent structure supporting the Civilian Operations Commander. The Civilian Operations Commander is the overall commander at the strategic level of currently 13 civilian CSDP crisis management missions and provides strategic guidance and direction to the Heads of Mission. The Civilian Operations Commander reports directly to the High Representative for Foreign Affairs and Security Policy and through her to the Council of the EU. Under the political control and strategic direction of the Political and Security Committee and the overall authority of the High Representative, the Civilian Operations Commander ensures the effective planning and conduct of civilian CSDP crisis management operations, as well as the proper implementation of all mission-related tasks. The Personnel Division (DMD.CivOpsHQ.3) is responsible for supporting on behalf of the Commander civilian CSDP missions in all matters related to Human Resources (HR), providing guidance, organising selection and recruitment and developing horizontal HR policies. The Division is composed of three sections: SEC.1 HR Policies, SEC.2 Selection and Recruitment, SEC. 3 Capacity Generation and Personnel Development. WE PROPOSE The position of HRM Assistant contract agent FGIII as per article 3b of the Conditions of Employment of Other Servants of the European Union (hereafter, the “CEOS”)[1]. PLACE and DATE OF EMPLOYMENT ‎EEAS Headquarters, Brussels, Belgium Post available: 01/09/2025 LEGAL BASIS The vacancy is to be filled in accordance with the conditions stipulated under the CEOS, in particular Article 82 thereof. In case of recruitment, the successful candidate will be offered a contract agent position (Function group III), on the basis of a contract with an initial duration of one year that may be successively renewed up to a maximum duration of six years[2], subject to the maximum duration of engagement by the EEAS allowed under successive limited duration contracts of different types[3]. WE LOOK FOR As point of contact and main interlocutor on human resources related issues, the successful candidates will play a key role in implementing all tasks related to the human resources capacity generation for the civilian CSDP Mission. The HRM Assistants will be assigned to the Selection and Recruitment Section. The jobholders will be responsible for continuously aiming to improve the effectiveness and efficiency in the implementation of human resources selection, management, and procedures, in particular in relation to the civilian CSDP Mission mentioned above. In addition, the successful candidates will be supporting the development of civilian CSDP policies in the field of human resources, with a specific focus on the implementation of the 2023 Civilian CSDP Compact and in close coordination with the Missions Staffing Policy Section. DMD.CivOpsHQ.3 is seeking a proactive, service-oriented, flexible and highly motivated colleague with strong analytical and teamwork skills to fulfil the post of HRM Assistant. The candidates should have a good understanding of EU policy and decision-making processes, inter-institutional relations as well as relevant experience in human resources. The candidates will work in an international and multi-cultural environment in close synergy with Member States and other EU institutions. The HRM Assistants are expected to perform the following tasks: Act as point of contact for specific civilian CSDP Missions; Provide back up and support for other missions, as necessary; Plan, prepare and manage the Calls for Contributions process, coordinate and support the Mission in conducting a timely capacity generation process; Advise and supervise the preparation of job descriptions in accordance with applicable rules; Participate in and ensure oversight of all the recruitment, selection and deployment of international personnel; Process applications and maintain rosters and databases on recruitment; Participate in the preparation of human resources planning and reporting, and elaborate quantitative and qualitative analysis; Advise, provide guidance and instructions to the Mission (Senior Management and Human Resources teams) on Human Resources Policies and Procedures as per applicable rules; Provide timely support and guidance to the CSDP Mission on all human resources issues, including status of personnel, personnel administration processes, implementation of leave policy, financial entitlements, international staff contracts, among others, and help establish and maintain Standard Operating Procedures; Provide briefings, advice and assistance on human resources and other administrative issues to CivOpsHQ and Member States as required; Support CivOpsHQ’s annual Human Resources Capacity Generation Conference; Contribute to the analysis and provide guidance on legal questions related to Human Resources policies in the Mission, in close coordination with the CivOpsHQ Legal Adviser; Contribute to the development, coordination and implementation of initiatives to increase the number of women in the assigned civilian CSDP Missions, in close coordination with other relevant stakeholders at CivOpsHQ and Member States; Support the business management of Goalkeeper-Registrar and CiMA - the IT tools on HR management developed specifically for MD CivOpsHQ and civilian CSDP missions - including providing user support to the two CSDP Missions as required; Contribute to data collection and analysis of HR statistics and the preparation of specific CivOpsHQ Capacity Generation reports for Member States; Contribute to designing and delivering trainings to CSDP Mission staff, CivOpsHQ staff and Member States representatives on civilian CSDP HR topics; Participate in inter-institutional thematic working groups, and contribute to related briefings on Missions' human resources issues; Participate in Technical Assessment Missions and other kind of in-theatre missions where relevant and required; Undertake other tasks or civilian CSDP Missions as requested by the Division management. Eligibility criteria [4] Further to the conditions set out in Article 82 of the CEOS, candidates must: have passed a valid EPSO CAST in a valid function group for this post, or be registered in the EPSO Permanent CAST in a valid function group for this post (https://epso.europa.eu/en/job-opportunities/open-for-application). In the latter case, while the registration will make the candidate eligible for the selection procedure, the recruitment of a candidate on this vacant post will be subject to his/her successfully passing the CAST exam; have a level of post-secondary education attested by a diploma or a level of secondary education attested by a diploma giving access to post-secondary education and appropriate professional experience of three year; have the capacity to work in the languages of the CFSP and external relations (English and working knowledge of French) necessary for the performance of their duties; be a national of one of the Member States of the European Union and enjoy full rights as a citizen. Selection criteria Candidates Should have the ability to maintain diplomatic relations and to ensure representation and communication in a complex, multicultural environment; have professional experience in the field of Human Resources; have the capacity to create constructive working relations in the field of external relations with national authorities, international organisations and EU Member States; have strong drafting and analytical skills combined with sound judgement; have knowledge of external relations, internal policies and functioning of the Union; have excellent communication skills and the ability to establish and maintain a network of contacts both within and outside the EEAS; have the ability to communicate clearly on complex issues and the capacity to perform with accuracy and in a flexible manner a diversity of tasks in a complex institutional environment; have strong service attitude; be a flexible team player. Furthermore experience of working in a team in multi-disciplinary and multi-cultural environment; experience in working with or within other EU institutions; experience/knowledge of CFSP/CSDP-related issues will be considered as strong assets. CONDITIONS OF RECRUITMENT AND EMPLOYMENT CONFLICT OF INTEREST AND SECURITY RISKS As a matter of policy, applications by individuals who have dual nationality of which one of a non-EU country, will be considered on a case-by-case basis taking account in particular of the functions attributed to the vacant post. The EEAS also examines if there could be a conflict of interest or security risks. In this context, candidates shall fill in with their application a declaration of potential conflict of interest (see attached) MEDICAL CLEARANCE The signature of the contract will be subject to prior favourable opinion of the Medical Service. PERSONNEL SECURITY CLEARANCE (PSC) The requested level of security clearance for this post is: SECRET UE/EU SECRET. A description of the EU classified information levels is available under Article 2 of Annex A of the Decision ADMIN(2023) 18 on the security rules of the EEAS[5]. The selected candidate should hold, or be in the position to obtain, a valid Personnel Security Clearance (hereafter, the “PSC”)[6] issued by the competent authority of the Member State concerned. Candidates who do not already have a valid PSC will be required to go through the security clearance vetting procedure of their Member State to obtain this clearance in accordance with national laws and regulations and with the procedure laid down in the Decision ADMIN(2019)7 on Security Clearance Requirements and Procedures for the EEAS of 08 March 2019 and in Annex A I of the Decision ADMIN(2023) 18 on the security rules of the EEAS. Until the PSC is issued by the competent authority of the Member State concerned, the selected candidate will not be authorised to access EUCI at the level of CONFIDENTIEL UE/EU CONFIDENTIAL or above, or to participate in any meetings or workflow where EUCI is processed. Please note that the necessary procedure for obtaining a PSC can be initiated on request of the employer only, and not by the individual candidate. In case of failure to obtain or renew the required PSC, the AACC may take the appropriate measures in accordance with Article 3(3) of the Decision ADMIN(2019) 7 on Security Clearance Requirements and Procedures for the EEAS of 08 March 2019. EQUAL OPPORTUNITIES The EEAS is committed to an equal opportunities policy for all its employees and applicants for employment. As an employer, the EEAS is committed to promoting gender equality and to preventing discrimination on any grounds. It actively welcomes applications from all qualified candidates from diverse backgrounds and from the broadest possible geographical basis amongst the EU Member States. We aim at a service, which is truly representative of society, where each staff member feels respected, is able to give their best and can develop their full potential. Candidates with disabilities are invited to contact CONTRACTAGENTS-HQ@eeas.europa.eu in order to accommodate any special needs and provide assistance to ensure the possibility to pass the selection procedure in equality of opportunities with other candidates. If a candidate with a disability is selected for a vacant post, the EEAS is committed to providing reasonable accommodation in accordance with Art 1(d)(4) of the Staff Regulations. APPLICATION AND SELECTION PROCEDURE [7] Please send your CV and cover letter (with your EPSO CAST number), in English or French, and the attached declaration of potential conflict of interest via email, with reference to the Vacancy Number in the Subject field, to civopshq-administration@eeas.europa.eu Deadline for sending application: 30/06/2025at 12.00 noon (CET) . Candidates shall draft their CV using the Europass CV, which can be found at the following internet address: http://europass.cedefop.europa.eu/en/documents/curriculum-vitae. Late applications will not be accepted . The selection panel will make a pre-selection on the basis of the qualifications and professional experience described in the CV and motivational letter, and will produce a shortlist of eligible candidates who best meet the selection criteria for the post. Please note that only shortlisted candidates will be informed about the outcome of the pre-selection phase. The candidates who have been preselected will be invited for an interview by a selection panel. The selection panel may decide, subsequent to the interview, to organise written tests, either for all pre-selected candidates or to the best ranked ones. The content of such written tests will be defined by the selection panel and may include, but not be limited to, multiple choice questions, open questions and/or topics for a short essay. Pre-selected candidates without a valid CAST shall be invited to sit the CAST exam before or after the interview stage (in accordance with the eligibility criteria set out above). The panel will then recommend a shortlist of candidates for a final decision by the Authority Authorised to Conclude Contracts of Employment (hereafter, the “AACC”). The AACC may decide to interview the candidates on the final shortlist before taking this decision. It is recalled that the selection procedure may be terminated at any stage in the interest of the service. In the interest of the service, after identifying the candidate that best fits the requirements of the post as set out in the vacancy notice, the AACC may also establish a reserve list of candidates. These candidates shall be informed that the reserve list shall remain valid for a period of one year from when it is established and that it may be used to fill the same post or an equivalent post in the EEAS with the same job profile. Contact: Mr Mirco KREIBICH, Head of Division CivOpsHQ.3 Tel: +32 2584-1136 Email: Mirco.KREIBICH@eeas.europa.eu [1] Staff Regulations of Officials of the European Union (SR) and the Conditions of Employment of Other Servants the European Union (CEOS). [2] Article 8 of the Commission Decision C(2017) 6760 of 16.10.2017 on the general provisions for implementing Article 79(2) of the Conditions of Employment of Other Servants of the European Union, governing the conditions of employment of contract staff employed by the Commission under the terms of Articles 3a and 3b thereof. [3] Decision ADMIN(2023) 24 on the maximum duration of engagement by the European External Action Service of non-permanent staff under successive limited duration contracts of different types, and on the minimum lapse of time between successive contracts under Article 2(e) of the CEOS. [4] All the eligibility criteria must be met on the closing date for applications to this post. [5] OJ C 263, 26 July 2023, p.16. [6] The ‘Personnel Security Clearance’ is defined under point 2 of Annex A I of the Decision ADMIN(2023) 18 on the security rules of the EEAS as “a statement by a competent authority of a Member State which is made following completion of a security investigation conducted by the competent authorities of a Member State and which certifies that an individual may, provided his ‘need-to-know’ has been determined, be granted access to EUCI up to a specified level (CONFIDENTIEL UE/EU CONFIDENTIAL or above) until a specified date; the individual thus described is said to be ‘security cleared’.” [7] Your personal data will be processed in accordance with Regulation (EU) 2018/1725, as implemented by ADMIN(2019)8 Decision of the High Representative of the Union for Foreign Affairs and Security Policy. The privacy statement is available on the Europa website: (https://www.eeas.europa.eu/eeas/eeas-privacy-statement-data-protection-notice-purpose-processing-personal-data-related-public_en) and on the EEAS Intranet:(https://intranet.eeas.europa.eu/page/eeas-work/data-protection/privacy-statements-dp-notices). Show more Show less

Key Responsibilities: Maintain and manage backend data systems and databases (e.g., Excel, SQL, ERP systems). Generate daily, weekly, and monthly MIS reports for various departments. Automate repetitive reporting tasks using tools like Excel Macros, Power BI, or SQL queries. Ensure data accuracy and perform regular data audits and validation. Collaborate with different departments (sales, operations, finance) to understand data needs. Prepare dashboards and visual reports for management using BI tools. Troubleshoot data discrepancies and provide support for data-related issues. Maintain proper documentation of reports, data flows, and processes. Skills & Qualifications: Bachelor’s degree in Computer Science, IT, Statistics, or a related field. Proficiency in Excel (including pivot tables, VLOOKUP, formulas). Working knowledge of SQL, MS Access, or any database management system. Experience with reporting tools such as Power BI, Tableau, or similar is a plus. Strong analytical and problem-solving skills. Attention to detail and a high level of accuracy. Good communication and coordination skills. Experience:1–3 years of experience in a similar MIS or data management role preferred. Please reach out on this number - 8800391402 (Yashi Bhardwaj)

About This Role This role sits within Preqin, a part of BlackRock. Preqin plays a key role in how we are revolutionizing private markets data and technology for clients globally, complementing our existing Aladdin technology platform to deliver investment solutions for the whole portfolio. You will be joining the world’s leading data and insights provider for the alternatives assets industry. We empower the finance community with comprehensive data and expert insights so they can make faster and smarter investment decisions with precision and confidence. We are a forward-thinking company and strive to make an impact by enabling our customers to envision future possibilities, invest in ideas and infrastructure that build strong communities. Job Overview The Data Management team is responsible for ensuring that Preqin’s coverage of the alternative assets industry is accurate, up to date and comprehensive. As an Analyst, your primary focus will be on the data processing and quality assurance of public data. You will report into the Data Management Lead, and work in close collaboration with a global team of data management specialists to research, analyze, and curate public data delivered to Preqin’s clients. Role Responsibilities Acquire, update and maintain high-quality alternatives data using various internal tools and software Conduct in-depth web-based research to collect data relating to firm, fund, and transaction activity in the alternative asset universe Update Preqin’s databases with key financial information, statistics, and analysis on which our clients depend on Work on complex data projects related to data quality, process re-engineering and workflow optimization Develop subject matter expertise to enhance our data offering to clients. Work with stakeholders across various business units to further develop our data product offering What We Are Looking For You have a bachelor’s degree in finance, Accounting, Business or Engineering You have 6 months of relevant experience You have a keen interest in finance and knowledge of financial markets You are fluent in English and have excellent writing and communication skills You have experience using Microsoft tools such as Excel, Sharepoint, and Office 365 An interest and understanding of the alternative assets industry #EarlyCareers Our Benefits To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about. Our hybrid work model BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. About BlackRock At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress. This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive. For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law. Show more Show less

Role - Relationship Manager, Wealth Channel - Field Sales (L4) Experience3-7yrs Job brief We are looking for a competitive Insurance Agent to generate new business by contacting potential customers. You will sell, solicit, differentiate and negotiate insurance plans that match the needs of your assigned or prospective customers’ portfolio. The goal is to build up strong positive relationships, to ensure growth attainment and increase our firm’s reputation. Responsibilities Develop marketing strategies and promote all types of new insurance contracts or suggest additions/changes to existing ones Breed productive relationships to create a pool of prospective clients from various sources by networking, cold calling, using referrals etc Evaluate business or individual customers’ needs and financial status and propose protection plans that meet their criteria Work with clients to deliver risk management strategies that fit their risk profiles Report the progress of monthly/quarterly initiatives to stakeholders Maintain bookkeeping systems, database and records Monitor insurance claims to ensure mutual satisfaction Achieve customer acquisition and revenue growth objectives Constantly update job knowledge and learn about new products and services Fulfill all policy requirements. Requirements and skills : Proven working experience as an Insurance Agent or relevant experience Familiarity with all types of insurance plans (automobile, fire, life, property, medical etc) Basic computer knowledge and statistical analysis Proven ability to work with goals Demonstrated ability to communicate, present, influence and sell effectively Experience in delivering client-focused solutions and in creating long-lasting relationships Graduate Proven working experience as an Insurance Agent or relevant experience Familiarity with all types of insurance plans (automobile, fire, life, property, medical etc) Demonstrated ability to communicate, present, influence and sell effectively Experience in delivering client-focused solutions and in creating long-lasting relationships.

About The Role Grade M1 to M3 Reports to: Head Analytics Is a Team leader? No Team Size: -- Role Business Analyst/Sr Business Analyst Business: Not Applicable Department: Analytics Sub-Department Not Applicable Location: Mumbai Role We are seeking a highly analytical and detail-oriented individual to join our team as a Data Analysis and Insights Specialist. In this role, you will be responsible for analyzing complex datasets, extracting meaningful insights, and proposing actionable recommendations to optimize processes and decision-making. Your ability to conduct thorough cost-benefit analyses and effectively communicate findings to stakeholders will be crucial in driving informed business strategies Key Responsibilities Data Analysis & Insights Generation Utilize statistical techniques to interpret data, identify trends, and uncover insights that drive operational efficiencies and strategic decision-making Derive actionable insights from data analysis to address business challenges, improve performance, and capitalize on opportunities Cost-Benefit Analysis Conduct comprehensive cost-benefit analyses to evaluate proposed solutions and ensure alignment with organizational objectives and financial goals Develop well-supported recommendations based on data-driven insights and cost-benefit assessments, ensuring clarity and feasibility Continuous Improvement Stay updated with industry trends, best practices, and evolving analytical techniques to enhance data analysis capabilities and contribute to continuous improvement initiatives Stakeholder Communication Present findings, recommendations, and analyses to stakeholders in a clear, concise manner, fostering understanding and buy-in for proposed solutions Qualifications MBA Finance or MBA Business Analytics with up to 2.5 years of relevant experience Role Proficiencies Must Have Skills Ms Excel & Powerpoint Python/SAS & SQL Insight generation Strong Communication & Presentation skills CBA or Impact Analysis Good to have Skills BI tools (Tableau/PowerBI) Cloud Data Analytics solutions (Sagemaker/Azure) Cloud Data warehousing solutions (Redshift/Snowflake)

Start your journey with BCD: Grow, connect, collaborate and celebrate with our global team Accountant, EMEA Full time, Mumbai, India In this role, you will perform day-to-day accounting functions and assist in the preparation of weekly and monthly financial reports for a designated area. As an Accountant, EMEA, you will Prepare monthly journal entries, reconcile general ledger accounts monthly, and conduct necessary account analysis and research Maintain the fixed assets accounting records and the prepaid expense accounting records, including allocating and posting monthly depreciation and prepaid expenses, and completing the disposal of fixed assets that are fully depreciated, sold, or no longer in use Maintain all records, files, and documentation for account transactions per company record-keeping retention guidelines Edit the payables input, for example, mail processing, recurring entries Edit Dunning, write-off of bad debts payable EWB, incoming reminders Perform various additional bookkeeping tasks: agent settlement, commission issued to employees, creating statistics/graphs, administrative office supplies, creating balance confirmations, settlement agency acquisitions About You Bachelor's degree in accounting/finance or a related field (or equivalent experience) Prior experience in general accounting Proficiency with ERPs, word processing, and spreadsheets (MS Excel) required Proficiency in PeopleSoft preferred Accounting under IFRS (International Accounting Standards) and GAAP preferred Excellent verbal and written communication skills in English About Us We’re a market leader in travel management: We help people and companies travel smart and achieve more, and our clients include some of the world’s best-known and most innovative business and consumer brands. We operate in more than 100 countries, and the majority of our 10,000+ people work virtually (because a 10-second commute usually makes awesome sense). We’re committed to sustainability and to driving success for our customers, our business and ourselves. Learn more about BCD Travel. Your life at BCD Working at BCD means connecting, collaborating and celebrating. You’ll be part of a virtual, dynamic and flexible work environment that fosters a good work-life balance so you can focus on what makes you happy. But don’t just take our word for it! Hear why people join BCD and more about the great perks of Life at BCD. You’ll be offered Flexible working hours and work-from-home or remote opportunities Opportunities to grow your skillset and career Generous vacation days so you can rest and recharge A compensation package that feels fair to you, including mental, physical, and financial wellbeing tools Travel industry professional perks and discounts An inclusive work environment where diversity is celebrated Ready to join the journey? Apply now! We’re dedicated to building a diverse, inclusive and authentic workplace. If you’re excited about a role, but your experience doesn’t align perfectly, we still encourage you to apply. We are committed to providing reasonable and necessary accommodations to ensure all employees can perform their roles effectively. For accommodation requests or further information, contact our Talent Acquisition department at careers@bcdtravel.com. Show more Show less

About This Role Who we are The Client Portfolio Management team is responsible for evaluating potential LDI products, solutions and services to meet the client’s objectives given their unique liability profile and risk appetite. The Client PM team ensures that clients and prospects receive timely, accurate information about the firm, the market and their specific portfolio. This team is also responsible for gathering intelligence about emerging trends to deliver relevant market insights and innovate products as client needs evolve. The Liability Driven Investment (LDI) business is a distinct part of Global Fixed Income which leverages the breadth and depth of the entire fixed income platform when delivering solutions for our clients. BlackRock has been managing LDI mandates for over 20 years in the EMEA region. What You Will Be Doing Implement client specific LDI strategies, focused on UK and Dutch clients. Specific stages that you will be responsible for: Day-to-day Portfolio Management Activities Including Ensuring that client portfolios are invested in line with their investment objectives and risk targets. Engaging in portfolio restructuring activities and new client implementations. Engaging with trade planning, post trade processing, and trade queries. Monitoring portfolio risk reports and performance and investigating exceptions. Demonstrate subject matter expertise by handling complex ad-hoc client requests, both quantitative and qualitative, in relation to the impact of the financial market developments on client portfolio positioning Play a prominent role in producing portfolio optimization and trade modelling output for client RFPs and pitch materials to contribute to business growth. Produce daily, periodic, and ad-hoc investment and portfolio analytics for clients and senior portfolio managers and strategists Drive innovation projects to redesign and optimize the current investment process Supporting client and investment consultant activities Contribute to ad-hoc strategic initiatives and projects. Skills And Qualifications 1-3 years of financial services or asset management experience Good understanding of financial markets, statistics, institutions and institutional investment strategies Coding skills – Expert knowledge of Python and VBA a must Interest in portfolio and risk management. Exceptional attention to detail Intellectual curiosity, with a genuine inclination for quantitative analysis High level of integrity to become a trusted partner to clients and peers Bachelor’s degree required. Progress toward CFA and/or CAIA a plus MS Office, especially Excel and PowerPoint, are essential skills Demonstrated record of academic achievement, work ethic, and leadership Strong problem-solving & analytical skills #EarlyCareers Our Benefits To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about. Our hybrid work model BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. About BlackRock At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress. This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive. For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law. Show more Show less

Description Retail Business Services (RBS) supports Amazon’s Retail business growth WW through three core tasks. These are (a) Selection, where RBS sources, creates and enrich ASINs to drive GMS growth; (b) Defect Elimination: where RBS resolves inbound supply chain defects and develops root cause fixes to improve free cash flow and (c) supports operational process for WW Retail teams where there is an air gap in the tech stack. The tech team in RBS develops automation that leverages Machine/Deep Learning to scale execution of these high complex tasks that currently require human cognitive skills. Our solutions ensure that information in Amazon's catalog is complete, correct and, comprehensive enough to give Amazon customers a great shopping experience every time. That's where you can help. We believe in “Work Hard. Have Fun. Make History” value by having a focus on sharing learning experiences from the front line with the development teams. So, the options for people in the team are vast. If you like mastering a domain and going deep, we need you. If you can juggle three tasks and coordinate with multiple people in the heat of an incident, we need you. If you love the benefits of process and methodical improvement, you will love it here. If you want to keep your head down, headphones on, and bash out code to support the team, we have a spot for you too. We challenge one another every day and hold ourselves accountable for our work product as well as our customer's overall success. We all enjoy the interactions with the customers, problem solving, digging into complex issues. We wake up every morning asking ourselves how we can improve the customer's experience, the quality of our product, the quality of our support system, or our individual weaknesses. We are not scared of challenges, nor do we back down or get deterred by tough problems. When problems seem the hardest we are at our best, we work harder to find the root cause and a solution. Work/Life Balance RBS Tech team puts a high value on work-life harmony. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and we encourage you to find your own balance between your work and personal lives. Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring, detailed and constructive code reviews. We have casual coffee chats with Principal & Senior Engineers from RBS tech where you could have technical conversations around your work, technical challenges, suggestions, ideas and proposals and also seek advice and discuss about things outside work, like, life in general, your family, hobbies etc. We provide trainings to the employees through online learning platforms such as O'reilly and also encourage them to take up AWS/ML certifications. Key job responsibilities We are looking for a sharp, experienced Business Analyst(BA) with a diverse skillset and background. As a BA, you will work directly with our business stakeholders to understand their processes, gather and document requirements, and identify solutions to address their needs. Using data analytics technologies and best practices, you will play a key part in translating business requirements into functional specifications and collaborating with technical teams to build scalable systems. You will be responsible for uncovering root causes, trends, and patterns that impact the business, leveraging dashboards and visualizations to provide insights. You will thrive in an agile, fast-paced environment, tackling unstructured and ambiguous problems on highly visible projects and initiatives. You will work with teams to understand key business problems/process to create BRD and build reports that enable product owners to answer those questions quickly and accurately. You will work with cross-functional leaders to understand their process and data needs and partner with them to build data solutions. About The Team Retail Business Services (RBS) supports Amazon’s Retail business growth WW through three core tasks. These are (a) Selection, where RBS sources, creates and enrich ASINs to drive GMS growth; (b) Defect Elimination: where RBS resolves inbound supply chain defects and develops root cause fixes to improve free cash flow and (c) supports operational process for WW Retail teams where there is an air gap in the tech stack. The tech team in RBS develops automation that leverages Machine/Deep Learning to scale execution of these high complex tasks that currently require human cognitive skills. Basic Qualifications 4+ years of tax, finance or a related analytical field experience 3+ years of business or financial analysis experience Experience making business recommendations and influencing stakeholders Experience on defining requirements, creating business requirement document, understanding business process and using data and metrics to draw business insights Proficiency in SQL, ETL management, Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualisation tools such as Tableau experience Preferred Qualifications MBA or Master’s degree in Computer Science, Engineering, Statistics, Mathematics or related field Extensive experience in a data engineer or BIE role with a technology company. Experience with statistical modelling / machine learning. Coding proficiency in at least one modern programming language (Python, Ruby, Java, etc) High attention to detail and proven ability to manage multiple, competing priorities simultaneously. Ability to work in a fast-paced environment where continuous innovation is desired. History of teamwork and willingness to roll up one’s sleeves to get the job done. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - BLR 14 SEZ Job ID: A3009344 Show more Show less