18 Modelling Techniques Jobs

Role & responsibilities Landslide Hazard Identification and Mapping Conduct landslide hazard mapping using geospatial, geological, and hydrometeorological data. Analyze remote sensing and field survey data to identify high-risk zones. Develop GIS-based susceptibility and hazard maps for use by decision-makers. Assess the exposure of populations, infrastructure, and ecosystems to landslide hazards. Analyze socio-economic vulnerabilities and integrate them with hazard data. Create composite risk maps to support risk-informed decision-making. Risk Modelling and Early Warning System Development Develop landslide risk models combining hazard, exposure, and vulnerability data. Use probabilistic and deterministic modelling tools for scenario generation. Estimate potential impacts, including damage, casualties, and disruptions. Generate landslide impact-based forecasting in collaboration with RIMES Hydro, meteorological and IT teams. Integrate monitoring instruments (e.g., inclinometers, piezometers) into alert systems. Coordinate with meteorological and geological agencies to operationalize warnings. Capacity Building and Stakeholder Engagement Conduct training for government and community-level stakeholders on risk interpretation. Develop SOPs, manuals, and communication materials tailored to different user groups. Facilitate knowledge-sharing and regional cooperation on landslide risk management. Develop and implement a self-training plan to enhance personal expertise, obtaining a trainer certificate as required. Prepare and implement training programs to enhance team capacity and submit training outcome reports . Deliverables Landslide susceptibility, hazard, and risk maps for designated regions. Technical reports detailing assessment methods and findings. Operational early warning thresholds and alert protocols. Capacity-building workshop materials and session reports. Integration of findings into regional Decision Support Systems. Prepare progress updates and outreach materials for stakeholders. Maintain comprehensive project documentation, including strategies, milestones, and outcomes. Capacity-building workshop materials and training reports. Other Responsibilities Utilize domain knowledge to assist in system implementation plans and decision support system (DSS) development. Assist in 24/7 operational readiness for client early warning systems, with backup support from RIMES Headquarters. Undertake additional tasks as assigned by the immediate supervisor or HR manager based on recommendations from RIMES technical team members and organizational needs. The above responsibilities are illustrative and not exhaustive. Undertake any other relevant tasks that may be needed from time to time. Preferred candidate profile Proficiency in GIS, remote sensing, and modelling tools for risk assessment. Knowledge/experience in data engineering, analytics, or IT systems for disaster management, meteorology, or climate services. Knowledge/experience with big data platforms (e.g., AWS, Azure, Google Cloud), APIs, and real-time data pipelines. Proficiency in technical documentation and user training. Excellent communication skills, especially in multidisciplinary and multicultural team settings. Minimum 3 years of experience in landslide hazard assessment and/or early warning systems. Familiarity with early warning systems, disaster risk frameworks, and sector-specific IBF requirements is a strong asset. Experience in multi-stakeholder projects and facilitating capacity-building programs. Contract Duration The contract will initially be for one year and may be extended based on the satisfactory completion of a 180-day probationary period and subsequent annual performance reviews. How to Apply: Interested candidates should send your application letter, resume, salary expectation and 2 references to rimeshra-india@rimes.int by midnight of 1 October 2025, Bangkok time. Please state Geohazard Specialist -EWS / Impact-Based Forecasting: Your Name the Subject line of the email. Only short-listed applicants will be contacted. Ms. Dusadee Padungkul Head of Operations and Programs Regional Integrated Multi-Hazard Early Warning System AIT Campus, 58 Moo 9 Paholyothin Rd., Klong 1, Klong Luang, Pathumthani 12120 Thailand. RIMES promotes diversity and inclusion in the workplace. Well-qualified applicants particularly women are encouraged to apply.

Immediate Joiner : with hands on DBT* * Design, develop, and maintain SQL databases using Hana SQL and Teradata. Legacy Data Platform * Optimize data pipelines on Hadoop and Redshift DB for performance. Work from Office for Chennai Location * Health insurance Provident fund

Mandatory skill- Advance Python & SQL GCP Services- BigQuery, Dataflow, Dataproc and Pub/Sub. Key Responsibilities Design, develop and optimize scalable data pipelines and ETL workflows using Google Cloud Platform (GCP), particularly leveraging BigQuery, Dataflow, Dataproc and Pub/Sub. Design and manage secure, efficient data integrations involving Snowflake and BigQuery. Write, test and maintain high-quality Python code for data extraction, transformation and loading (ETL), analytics and automation tasks. Use Git for collaborative version control, code reviews and managing data engineering projects. Implement infrastructure-as-code practices using Pulumi for cloud resources management and automation within GCP environments. Apply clean room techniques to design and maintain secure data sharing environments in alignment with privacy standards and client requirements. Collaborate with cross-functional teams (data scientists, business analysts, product teams) to deliver data solutions, troubleshoot issues and assure data integrity throughout the lifecycle. Optimize performance of batch and streaming data pipelines, ensuring reliability and scalability. Maintain documentation on processes, data flows and configurations for operational transparency. ________________________________________ Required Skills Strong hands-on experience of 5+ years with GCP core data services: BigQuery, Dataflow, Dataproc and Pub/Sub. Proficiency in data engineering development using Python. Deep familiarity with Snowflakedata modeling, secure data sharing and advanced query optimization. Proven experience with Git for source code management and collaborative development. Demonstrated ability using Pulumi (or similar IaC tools) for deployment and support of cloud infrastructure. Practical understanding of cleanroom concepts in cloud data warehousing, including privacy/compliance considerations. Solid skills in debugging complex issues within data pipelines and cloud environments. Effective communication and documentation skills. ________________________________________ Great to Have GCP certification (e.g., Professional Data Engineer). Experience working in regulated environments (telecom/financial/healthcare) with data privacy and compliance focus. Exposure to additional GCP services such as Cloud Storage, Cloud Functions or Kubernetes. Demonstrated success collaborating in agile, distributed teams. Experience with data visualization tools (e.g., Tableau, Looker) is nice to have.

modelling/machine Company Description Syngenta is one of the worlds leading agriculture innovation company (Part of Syngenta Group) dedicated to improving global food security by enabling millions of farmers to make better use of available resources. Through world class science and innovative crop solutions, our 60,000 people in over 100 countries are working to transform how crops are grown. We are committed to rescuing land from degradation, enhancing biodiversity and revitalizing rural communities. A diverse workforce and an inclusive workplace environment are enablers of our ambition to be the most collaborative and trusted team in agriculture. Our employees reflect the diversity of our customers, the markets where we operate and the communities which we serve. No matter what your position, you will have a vital role in safely feeding the world and taking care of our planet. To learn more visit: www.syngenta.com Job Description Role purpose Co-Lead operations of the predictive modelling platform and act as key bridge between R&D IT and R&D Set strategic direction for the modelling platform and guide further technical development Design and develop models to generate new content using machine learning models in a secure, well-tested, and performant way Confidently ship features and improvements with minimal guidance and support from other team members Establish and promote community standards for data-driven modelling, machine learning and model life cycle management Define and improve internal standards for style, maintainability, and best practices for a high-scale machine learning environment. Maintain and advocate for these standards through code review. Support diverse technical modelling communities with governance needs Engage and inspire scientific community as well as R&D IT and promote best practices in modeling Accountabilities Acts as R&D IT co-lead and subject matter expert for the modelling platform, providing strategic direction as well as overseeing technical and scientific governance aspects Works closely with R&D to ensure platform remains fit for purpose for changing scientific needs Engages with modelling communities across R&D to understand applications, recognize opportunities and novel use cases and prioritizes efforts within the platform for maximum impact Develops Python code, scripts and other tooling within the modelling platform to streamline operations and prototype new functionality Provides hands-on support to expert modellers by defining best practices on coding conventions, standards etc. for model deployment and quality control Explores, prototypes and tests new technologies for model building, validation and deployment, e.g. machine learning frameworks, statistical methods, and how they could be integrated into the platform to boost innovation Monitors new developments in the field and maintains awareness of modelling approaches taken by other companies, vendors, and academia. Works with external collaborators in academia and industry to understand and integrate their complementary capabilities Qualifications Critical knowledge, Experience & Capabilities Background in predictive modelling in the physical or life sciences at a postgraduate level Prior wet-lab experience (e.g. biology, chemistry, toxicology, environmental science) is a plus Experience working in an academic or industrial R&D setting Strong Python skills and familiarity with standard data science tooling for data-driven modelling / machine learning Understanding of the model lifecycle and tools to manage it, as well as technical aspects such as deployment, containerization/virtualization, and handling metadata. Experience with DataIKU/DSS and AWS Bedrock is a plus, but not essential Strong analytical thinking and problem-solving skills, adaptability to different business challenges and openness to new solutions and different ways of working Curiosity and ability to acquire domain knowledge in adjacent scientific areas to effectively work across internal teams and quickly get up to speed with different modelling approaches Understanding of mathematical/mechanistic modelling is a plus Solid understanding of Web APIs and how they can be used to operationalize models Adaptable to different business challenges and data types / sources Able to learn and utilize a range of different analytical tools and methodologies not fixed in a particular methodology Strong collaborative, networking and relationship building skills Uses visualization and storytelling with data to communicate results to parties with varying levels of technical proficiency Enjoys working a highly diverse working environment comprising multiple scientific disciplines, nationalities, and cultural backgrounds Able to manage own time and deals effectively with conflicting workloads, in agreement with key customers. Additional information Note: Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, gender identity, marital or veteran status, disability, or any other legally protected status. Follow us on: Twitter & LinkedIn https://twitter.com/SyngentaAPAC https://www.linkedin.com/company/syngenta/ India page https://www.linkedin.com/company/70489427/admin/

Lead and direct a team to deliver annual objectives for the business and team using advanced analytics. Develop, mentor, and coach team members to ensure strong succession plans are in place and encourage empowerment and collegiality. Create a talent destination through branding, community, and academic partnerships. Conform to Barclays management processes and play a crucial role in project prioritization and planning. Be a key partner to the business, advocating for analytics and establishing expertise in the field. Essential skills include driving commercial value across sectors, deploying analytical outputs, utilizing visualization tools, and leading global teams. Strong communication skills, ability to set direction and deliver on vision, technical knowledge of big data platforms, and project management experience are required. Desirable skills involve experience in the Financial Services industry, knowledge of internal systems and data warehouse environments, and expertise in analytical areas like Targeting, Segmentation, Pricing, and more. Purpose of the role: To extract insights from complex data sets, develop decision models, and present recommendations to stakeholders. Accountabilities: - Identify and extract relevant data - Perform sensitivity analysis and scenario planning - Monitor existing model performance - Implement data quality control procedures - Build and validate quantitative models Director Expectations: - Manage a business function and contribute to strategic initiatives - Lead a team, embed a performance culture, and provide expert advice - Manage resourcing, budgeting, and policy creation - Foster compliance and observe regulations - Demonstrate industry knowledge and analytical skills - Negotiate with stakeholders and act as a spokesperson for the function Leadership Behaviors: - Listen and be authentic - Energize and inspire - Align across the enterprise - Develop others Barclays Values: - Respect - Integrity - Service - Excellence - Stewardship Barclays Mindset: - Empower - Challenge - Drive,

Role & responsibilities Design and develop catalogues, invitations, advertisements, posters, and exhibition layouts . Work on product design and modeling using SolidWorks, AutoCAD, and 3D design tools. Create logos, branding materials, and web layouts aligned with organizational requirements. Develop presentations (PPTs) and support documentation for projects and marketing activities. Collaborate with internal teams to ensure design accuracy and project timelines are met. Contribute innovative ideas for improving visual communication and product representation.

JOB SUMMARY Job Description Join o JOB DESCRIPTION Hungry, Humble, Honest, with Heart. The Opportunity Are you a highly skilled Tableau Developer with a passion for creating impactful data visualisation solutions? If so, join our team at Nutanix and be part of a dynamic and innovative organisation that values your expertise and offers endless opportunities for growth and development. About the Team At Nutanix, you will have the opportunity to join the G&A-Data team, a group of 19 individuals located across different regions. This team is known for its innovative and fun culture, where collaboration and thinking outside the box are encouraged. You will report to the Senior Manager, Business Analytics. At Nutanix, we believe in a hybrid work setup, which means employees are required to come into the office for 3 days a week. This setup allows for a good balance between in-person collaboration and remote work flexibility. As part of your role at Nutanix, there will be travel requirements involved. This could include visiting different office locations, attending conferences, or meeting with clients, depending on the needs of the business. As a Tableau Developer in Nutanix, you will be responsible for creating data visualisation solutions to improve business processes. This role will include tasks such as generating Tableau dashboard reports, creating business intelligence reports and visualisations, and working with source data teams. Roles and Responsibilities Design, develop, conduct unit testing, and maintain complex Tableau reports for scalability, manageability, extensibility, performance, and re-use. Provide technical expertise in areas of dashboard architecture, design, and implementation. Work with team members to create useful reports and dashboards that provide insight, improve/automate processes, or otherwise add value to the team. Work through iterative review cycles to deliver results that meet or exceed user expectations. Ensure consistency by adhering to standards and templates. Requirements Proven experience of 7+ years in designing and developing Tableau dashboards. Ability to query and display large data sets while maximising the performance of the workbook. Ability to interpret technical or dashboard structure and translate complex business requirements to technical specifications. Advanced Tableau development skills required. Understanding of advanced calculations and functions. A solid understanding of SQL, relational database management systems, data modelling, and normalisation Strong communication skills. Attention to detail and accuracy.

As the Application Developer, you will be responsible for the development of applications with a keen focus on correctness, resilience, and quality. You will troubleshoot system problems and conduct thorough impact analysis of any changes across different applications within Business Intelligence. Taking ownership of the full software development lifecycle, you will lead discussions, design, develop, test, and deploy solutions. Additionally, you will create detailed technical specifications, test case documents, and regression testing results for all changes. Your role will involve designing and implementing data models to support various business needs, including analytics, reporting, and machine learning. Effective communication and collaboration with global teams will be essential. Providing expert advice and design inputs in the areas of Data Modelling, Data Warehousing, Data Marts, Data Governance, and Security will also be part of your responsibilities. **Mandatory Requirements:** - Bachelor's degree in computer science or a related field (graduate). - 5-8 years plus relevant industry experience. - Proficiency in Python, AI/ML, SQL, and/or any other scripting language. - Experience in developing and tuning LLMs or GenAI Models (GPT, LLaMA, Claude). - Strong proficiency in Python and libraries such as LangChain, HayStack, Transformers. - Good Experience in Machine Learning and training models using XGBoost, Neural Networks, Random Forests, Scikit-Learn, Pandas. - Experience conducting Exploratory Data Analysis (EDA) to identify trends and patterns, report key metrics. - Knowledge of Tableau/Visualization to integrate/deploy trained models to Analytics Suite. - Hands-on experience with at least 1 end-to-end implementation cycle of a data science project. - Strong knowledge of statistical analysis and modeling techniques. - Experience with Cloud Data Lake technologies such as Snowflake. **Desirable Requirements:** - AI&ML certification. - Working Knowledge of various analytics applications such as Informatica for ETL and Tableau including installation/upgrade. - Familiarity with Documentation and collaboration tools (Confluence, SharePoint, JIRA). - Comfortable working in Agile methodology and full SDLC process. - Excellent interpersonal, communication, and team building skills with the ability to explain complex topics clearly. - Self-motivated with a proactive approach. - Flexibility to work on multiple items, open-minded, and willing to contribute in an individual capacity. - Working knowledge of Gitlab CI/CD. This is a Full-time, Permanent position suitable for candidates with relevant experience and a keen interest in application development and data science. The work location is in person.,

Join us as a Senior Analyst Credit Risk (Structured Lending & Financing GCFS) at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unparalleled customer experiences. Structured Lending & Financing (SL&F) Risk has responsibility for several underlying asset classes, including Credit & Macro, Securitized Products, Equities which all form discrete risk verticals. The role advertised is an Assistant Vice President (AVP) position in the existing team based out of Mumbai and will cover SL&F GCFS (Global Credit & Financing Solutions) portfolio. Transaction analysis, post-sanction ongoing surveillance, annual review, and excess/exceptions management. Credit assessment of new Structured Financing opportunities across single assets and granular portfolios focusing on US BSL, MM and Private Credits as well as DM/EM, Repos/TRS, securitizations, and other bespoke transactions. Prepare detailed credit reviews based on fundamentals and present findings to risk senior management. Assist in establishing an appropriate risk management framework in line with Risk Policies and Standards. Quantify and monitor portfolio performance including structural risk mitigants, debt covenants, deleveraging triggers, etc. Monitoring, reporting, and annual review of Mandate & Scale Limits. To be a successful Senior Analyst Credit Risk (Structured Lending & Financing GCFS), you should have experience with good analytical skills with attention to detail, and interpersonal, verbal, and written communication skills. Experience in credit analysis and familiarity with financial statement analysis and modeling techniques. Knowledge of Credit (both DM and EM), Leveraged Finance, and awareness of prevailing market trends. Experience in credit risk management at a major investment bank/similar institution, or equivalent position. Some Other Highly Valued Skills May Include: - Demonstrate sound knowledge of credit asset class and fundamentals and have the confidence to provide reasoned challenge to the Front Office. - Experience in credit analysis and familiarity with financial statement analysis and modeling techniques. - Advanced skills in Microsoft Office suite is preferred. You may be assessed on the key critical skills relevant for success in the role, such as risk and controls, change and transformation, business acumen, strategic thinking, and digital and technology, as well as job-specific technical skills. The Job Location of this role is Mumbai. Purpose of the role: To safeguard the financial health of the bank by identifying, analyzing, and mitigating potential credit risks associated with lending activities. Accountabilities: - Analysis of financial data, including income, assets, liabilities, credit history, and economic trends, to determine the risk of default. - Monitoring of existing loan portfolios to identify potential credit deterioration or early warning signs of default. - Recommendation of loan approvals, rejections, or adjustments based on risk evaluation and bank lending policies. - Development and implementation of credit risk mitigation strategies, including collateral management, loan restructuring, and workout plans. Assistant Vice President Expectations: - Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. - Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. - Take ownership for managing risk and strengthening controls in relation to the work done. - Perform work that is closely related to that of other areas, which requires an understanding of how areas coordinate and contribute to the achievement of the objectives of the organization sub-function. - Collaborate with other areas of work, for business-aligned support areas to keep up to speed with business activity and the business strategy. - Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practices (in other areas, teams, companies, etc.) to solve problems creatively and effectively. - Communicate complex information. "Complex" information could include sensitive information or information that is difficult to communicate because of its content or its audience. - Influence or convince stakeholders to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge, and Drive - the operating manual for how we behave.,

Roles and responsibilities: Delivery of Adobe AEM technical work streams and working with on-shore teams to coordinate and deliver work packages. Manage small development teams comprising front-end developers, application developers and testers, while anticipating and mitigate delivery risks and follow issues through to closure. Day to day leadership of a technical project, managing multiple workstreams and levels of colleagues in an off-shoring model Provide technical leadership and guidance on delivering Adobe AEM (CQ) CMS implementations. Be advocates for technical methodologies and processes on their projects. Assumes responsibility for technical quality, ensuring that testing is carried out in a rigorous fashion resulting in production of high-quality deliverables Creates, or delegates where appropriate, the relevant technical design documentation and ensures the documents completeness and accuracy Ensures that technical solution is implemented according to technical design and enforcing approved standards and frameworks Manages a development team, including Interface Developers and Testing Engineers , demonstrates leadership skills in addressing delivery and performance issues and undertakes tasks to build team morale Anticipates and reports delivery issues associated with project clearly and at the earliest possible opportunity, to Project Manager and client, and assumes responsibility for resolution of issues Plans and estimates project activities accurately and reports anticipated deviations clearly and at the earliest possible opportunity to Project Manager Your skills & experience 3- 8+ years of CMS application development experience in Adobe Day/ AEM/ CQ5 technologies Excellent communication skills working with remote teams in an offshoring model. Understands technical delivery methodologies and project management approaches in an offshoring environment and working in distributed teams. Experience in an Agile/SCRUM development environment. Adobe CQ Certification or Training Detailed knowledge of software design, modelling techniques, database technologies, Web servers, application servers and hardware options Has experience designing and developing solutions involving a high degree of technical complexity Degree in Software Engineering or Computer Science

The ideal candidate will be responsible for gathering business challenges and documentation, collating and interpreting data, analyzing results using statistical techniques and tools. You will work with the team to prioritize business and information needs and present solutions and insights regarding the data. It will be your role to analyze data for trends and interpret data and patterns with a clear objective in mind. You should have an interest in working in a startup culture/ecosystem with a willingness to learn and a never-die attitude. The ability to work independently as well as part of a team is essential. Knowledge in AI/ML algorithms, working with large datasets and big data tools is required. Proficiency in SQL, Python, Excel functions, data concepts, and an in-depth understanding of modeling techniques is a must. Familiarity with NLP, LLM, Generative AI, and data visualization is preferred. Strong logical and problem-solving skills are necessary for this role. This is a full-time position with a day shift schedule and an in-person work location.,

Function/Craft: Analytics Position Title: Senior Associate Marketing Sciences Position Overview We are seeking a skilled and driven professional to join our Analytics Team. The ideal candidate will be analytically minded, hands-on, and possess a strong academic background, an entrepreneurial spirit, and a genuine interest in data analytics. This role requires the ability to leverage analytics to present information in a clear and impactful manner that supports fact-based decision-making. This role is based in Pune but will be supporting teams around the world. Responsibilities Accurately assess the effectiveness and performance of paid advertising campaigns by collecting, aggregating, processing, and analyzing large datasets from multiple sources, including proprietary agency analytics platforms. Pull data from multiple sources using automated methods; clean and validate data using standard processes and perform regular data quality checks. Support data processes such as ETL (extract, transform, load); write scripts to automate or process data with guidance, leveraging databases to store and harmonize large datasets for analysis. Build analytical models (e.g., marketing mix, brand awareness, marketing attribution ) and perform analysis with minimal guidance, using standard tools and applications with the ability to investigate non standard results. Load models into optimization platforms and run simulations and optimizations as directed. Create and update presentations, analytical dashboards, and simulation tools to support clients and internal teams. Coordinate with internal and external clients for projects and workflows to ensure high-quality deliverables and timely execution with good degree of independence. Participate in client meetings and present analytical insights to internal teams and stakeholders, communicating complex findings clearly and confidently. Foster a mindset of continuous improvement by identifying opportunities to enhance processes and increase efficiency. Handle ad hoc assignments within the scope of the role; apply technical knowledge and judgment to solve problems in straightforward situations. Document processes and establish best practices. Support multiple projects with complex scope and tight deadlines. Establish relationships with clients and stakeholders and train associates or new joiners in the organizations. Qualification - Required Skills Bachelors degree in Statistics, Mathematics, Econometrics, Quantitative Finance, Actuarial Science, Engineering, or a related field from a reputable university 3 to 5 years of experience in analytics, with a focus building statistical models or predictive modelling Strong proficiency with Microsoft Office, particularly Powerpoint and Excel, including its advanced features Fluency in data management, statistical and optimization languages, ideally one of these: R/SQL/PYTHON Strong knowledge of Statistics and Econometrics (e.g., R-square, MAPE, Hypothesis Testing) Excellent verbal and written English communication skills, with the ability to present data-driven insights effectively and simplify complex ideas to peers and senior leaders within agencies and with clients Proven track record of collaborating across teams to deliver actionable insights and enhance client deliverables. Excellent problem-solving skills, attention to detail and strong time management and organizational skills and open-minded with desire to self-develop and face new challenges Qualifications - Desired Skills Ability to thrive and enthusiasm to work in a fast-paced, ambiguous, and dynamic environment, with the capability to manage multiple priorities under pressure. Experience in the marketing domain and media measurement, marketing mix and ROI measurement, simulation or optimization Experience with industry tools such as Syndicated Consumer (Simmons, MRI), Syndicated Sales (Nielsen Polk, JD Powers), Media Consumption (Nielsen, Arbitron, Comscore), Paid Media Monitoring (Kantar, AdViews) and Social Media Monitoring (NetBase, Sysomos) Prior project management experience is a plus

Position Title: AI Systems Developer Nos. required: 01 (One) Location: Visakhapatnam Port Authority (VPA) Mode of Employment: Contractual-Full Time Duration of Employment: 01 year (extendable on mutual consent) Key Responsibilities Develop AI-driven systems to enhance port security, such as automated surveillance and threat detection. Create AI models to predict and mitigate risks related to port operations, such as environmental hazards or operational disruptions. Integrate AI technologies with existing port management software to enhance automation and efficiency. Provide technical support and training to port staff on AI systems. Work with external vendors and stakeholders to ensure AI systems are interoperable with other technologies used at the port. Maintain documentation and manage the lifecycle of AI projects from development to deployment. Qualifications: 4 year Bachelor degree in Computer Science/Data Science/Engineering/ or a related field Master's degree or higher in Data Science/AI or related field. 1. Certification in Data Science / AI - Google, IBM Data Science professional Certificate 2. Microsoft certified: Azure AI Engineer Associate 3. SAS certified Data Scientist or similar KINDLY NOTE: APPLICATION ARE ACCEPTED ON OR BEFORE JULY 5th 2025 ONLY.

WE ARE HIRING !! Designation : Architect | Designer Experience : Freshers & Experienced Preferred Software Skill : Sketchup. Rhino Work Mode : Bhuj (On-site) Email : hr@skillhouse.art Mobile : 7405906600 Food allowance

Spearhead the "strategic and operational mine planning" functions across all Group Companies. Consolidation and presentation of comprehensive reports on all mining operations (Coal and Metals opencast workings). Ensure MP activities r all optimized. Required Candidate profile BE/BTech in Mining, Min 15 yrs of exp, software : Surpac, MineSched & mining ops, geological modelling and resource estimation.- Managing multi-site mining ops & coordinating - cross-functional teams.

Role & responsibilities Hydraulic design of various hydropower component. -Prepare technical report. -Technical specification -Hydrology Studies Preferred candidate profile -Good knowledge of HECRAS -Studying using software like WHAMO and other. -Having work experience of 6-10 years

POSITION: Senior Analyst, Advanced Analytics The Mediabrands Insights team is look for an individual who has an interest in data analysis and econometric modelling. Working across a wide variety of accounts, you will be part of a team that analyses client data and makes media mix recommendations that will increase topline business performance and ROI. This position will work closely with team members across multiple disciplines such as media planning and investment, research, and strategy. Reporting to the Analytics Manager, you will be contributing in various stages of the project, from data gathering and processing, analyzing the data using excel, through to running sophisticated econometrics in our proprietary analysis and optimization software. About the role: The successful candidate in this position will have experience with statistical models, the curiosity to search for new answers to old problems, the desire to be part of a team of data science professionals, and the ability to collaborate with cross-functional team members seamlessly. The media environment is fast-paced and always evolving; we are looking for dynamic candidates who can adapt quickly and enjoys working across a diverse client portfolio. Responsibilities: Work collaboratively with team of analysts to deliver marketing analytics projects for our clients Contribute to end to end modeling projects including: Data Collection & Processing Modeling Quality checks Optimizations Able to roll-up sleeves and contribute to data clean-up, modeling, insights generation and slide creation Pick up new methodologies, business terminologies quickly Contribute to client presentations to communicate, present and evangelize the results to our clients and agency partners Qualifications: Post-secondary education University graduate and/or quantitative background preferred 2+ years of experience in a modeling OR modeling management role preferably in the marketing domain Excellent written and verbal communication skills Prior project management experience is preferred (but not necessary) Knowledge of basic statistics (R-square, MAPE, Hypothesis testing) required Ability to quickly pick up nuances of the business and adapt to business needs Ability to handle multiple projects synchronously Knowledge of coding preferred but not required Marketing background preferred but not required IPG Mediabrands is an equal opportunity employer and we welcome and encourage applications from all interested parties. Accommodations are available, upon request, for those with a disability or medical need during any stage of the recruitment process. We thank all candidates for their interest in IPG Mediabrands, however, only those candidates selected for an interview will be contacted

About the Role We are seeking an exceptional finance professional with a strong command of dynamic financial modelling, data-driven analysis, and strategic insight to join our high-performing team. In this role, you will lead the development of advanced, flexible financial models, extract and analyze large datasets for actionable insights, and play a key role in supporting strategic decision - making, capital raising, and M&A activity across our global fintech and payments businesses. You will collaborate with senior leadership, investors, and cross-functional teams to drive value creation and ensure data-backed strategic choices. This position is pivotal for translating complex financial and operational information into compelling investment cases and actionable recommendations. Key Responsibilities 1. Financial Modelling & Forecasting • Build, maintain, and enhance robust, dynamic financial models in Excel, Power BI, Google Sheets, or Python, including: Fully integrated 3-statement forecasts DCF valuations and sensitivity/scenario modelling Cash flow waterfalls and capital structure optimisation Cohort analysis for revenue streams, lending portfolios, and customer segments • Ensure models are transparent, scalable, and easily adaptable to changing assumptions. 2. Data Analytics & Insights • Perform large-scale data analysis using advanced Excel, SQL, and/or Python to identify performance patterns, KPIs, and predictive drivers. • Use data visualization (Power BI/Tableau) to clearly communicate findings to stakeholders. • Build and maintain KPI dashboards for business units, cash flow health, and fund performance. 3. Strategic Finance Support • Partner with business leaders on long-term financial planning, unit economics analysis, and strategic scenario testing. • Support fundraising processes (equity, structured debt, or hybrid), preparing investor presentations and investment memorandums tailored for VCs, PE funds, banks, and family offices. • Contribute to M&A deal evaluation including target due diligence, synergy analysis, and integration forecasting. 4. Stakeholder Engagement • Present complex financial insights in a clear, concise, and commercially focused manner to senior management, board members, and external partners. • Serve as a trusted partner to the CEO, CFO, and business unit leaders in financial decision making. Qualifications & Skills • CFA Charter holder (or equivalent), with 5+ years post-Level III experience in investment banking, corporate finance, or private equity. • Expert-level ability in dynamic financial modelling and advanced Excel (array formulas, pivot tables, macros), with proficiency in Google Sheets; Python or R a strong plus. • Strong grasp of financial fundamentals, valuation techniques, and capital structuring. • Experience in data analytics tools (SQL, Power BI, Tableau) to support decision-making. • Proven track record supporting or leading fundraising and M&A transactions. • Exceptional business communication skills able to translate numbers into strategic narratives.