We are seeking a highly skilled Development Lead with expertise in Generative AI and Large Language models to join our dynamic team. As a Development Lead, you will play a key role in developing cutting-edge AI models and systems for our clients. Your primary focus will be on driving innovation and leveraging generative AI techniques to create impactful solutions. The ideal candidate will have a strong technical background and a passion for pushing the boundaries of AI technology. Job Description: Responsibilities : Develop and implement creative experiences, campaigns, apps, and digital products, leveraging generative AI technologies at their core. Successful leadership and delivery of projects involving Cloud Gen-AI Platforms and Cloud AI Services, Data Pre-processing, Cloud AI PaaS Solutions, LLMs, Base Foundation Models, Fine Tuned models, working with a variety of different LLMs and LLM APIs. Conceptualize, Design, build and develop experiences and solutions which demonstrate the minimum required functionality within tight timelines. Collaborate with creative technology leaders and cross-functional teams to test feasibility of new ideas, help refine and validate client requirements and translate them into working prototypes, and from thereon to scalable Gen-AI solutions. Research and explore emerging trends and techniques in the field of generative AI and LLMs to stay at the forefront of innovation. Research and explore new products, platforms, and frameworks in the field of generative AI on an ongoing basis and stay on top of this very dynamic, evolving field Design and optimize Gen-AI Apps for efficient data processing and model leverage. Implement LLMOps processes, and the ability to manage Gen-AI apps and models across the lifecycle from prompt management to results evaluation. Evaluate and fine-tune models to ensure high performance and accuracy. Collaborate with engineers to develop and integrate AI solutions into existing systems. Stay up-to-date with the latest advancements in the field of Gen-AI and contribute to the companys technical knowledge base. Must-Have: Strong Expertise in Python development, and the Python Dev ecosystem, including various frameworks/libraries for front-end and back-end Python dev, data processing, API integration, and AI/ML solution development. Minimum 2 years hands-on experience in working with Generative AI Applications and Solutions. Minimum 2 years hands-on experience in working with Large Language Models Solid understanding of Transformer Models and how they work. Reasonable understanding of Diffusion Models and how they work. Hands-on Experience with building production solutions using a variety of different. Experience with multiple LLMs and models - including GPT-4o, Gemini, Claude, Llama, etc. Deep Experience and Expertise in Cloud Gen-AI platforms, services, and APIs, including Azure OpenAI, AWS Bedrock , and/or GCP Vertex AI . Solid Hands-on Experience working with Enterprise RAG technologies and solutions / frameworks - including LangChain, Llama Index, etc. Solid Hands-on Experience with developing end-to-end RAG Pipelines . Solid Hands-on Experience with Agent-driven Gen-AI architectures and solutions, and working with AI Agents . Hands-on experience with Single-Agent and Multi-Agent Orchestration solutions Solid Hands-on Experience with AI and LLM Workflows Experience with LLM model registries (Hugging Face), LLM APIs, embedding models, etc. Experience with vector databases (Azure AI Search, AWS Kendra, FAISS, Milvus etc.). Experience in data preprocessing , and post-processing model / results evaluation. Hands-on Experience with Diffusion Models and AI. Art models including SDXL, DALL-E 3, Adobe Firefly, Midjourney, is highly desirable. Hands-on Experience with Image Processing and Creative Automation at scale, using AI models. Hands-on experience with image and media transformation and adaptation at scale, using AI Art and Diffusion models. Hands-on Experience with dynamic creative use cases, using AI Art and Diffusion Models. Hands-on Experience with Fine-Tuning LLM models at scale. Hands-on Experience with Fine-Tuning Diffusion models and Fine-tuning techniques such as LoRA for AI Art models as well. Hands-on Experience with AI Speech models and services, including Text-to-Speech and Speech-to-Text. Ability to lead design and development teams, for Full-Stack Gen-AI Apps and Products/Solutions, built on LLMs and Diffusion models. Ability to lead design and development for Creative Experiences and Campaigns , built on LLMs and Diffusion models. Nice-to-Have: Good Background and Foundation with Machine Learning solutions and algorithms Experience with designing, developing, and deploying production-grade machine learning solutions. Experience with Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). Experience with custom ML model development and deployment Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or Keras. Strong knowledge of machine learning algorithms and their practical applications. Experience with Cloud ML Platforms such as Azure ML Service, AWS Sage maker, and NVidia AI Foundry. Hands-on Experience with Video Generation models. Hands-on Experience with 3D Generation Models. Location: DGS India - Pune - Kharadi EON Free Zone Brand: Dentsu Creative Time Type: Full time Contract Type: Permanent

This is an exciting time to join Dentsu as we focus on becoming a 100% digital economy business through content, media and commerce. We are well placed to build capability, scale and sustainable growth as a high performance business. Our strategy is driven by our unique culture with one vision (to innovate the way brands are built), one set of values and a unique operating model which drives collaboration, client focus and attention. Within the Engineering and Architecture, and Innovation function at Dentsu, we are developing key initiative that will drive technology strategy, rationalization and impact; The Dentsu Tech Platform Engineering initiative will be responsible for providing platform services, frameworks, blueprints and tools that enable all Dentsu development teams and beyond with the essential capabilities to rapidly deliver robust, scalable and secure applications for use by our operational teams, and our clients. Role Overview: As a Senior DevOps Engineer you will be a subject matter expert in DevOps practices and tooling. You will have a background in infrastructure engineering and a track record of designing and delivering large-scale, highly available systems. You will be a strong advocate for the team and share assets, ideas, designs, approaches and successes with other product delivery teams. You will be able to balance your engineering skills with strategy and design leadership. Were looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, and containerization. We need our leaders to be versatile, fearless, free thinking, innovative, disruptive, enthusiastic in taking on new problems and inspirational to their reports and peers alike. Job Description: Responsibilities: 1. Collaborate closely with leads to deliver secure, reliable, robust and scalable solutions. 2. Identify and implement DevOps engineering best practices in conjunction with your peers, both within Platform Engineering and Technology as a whole 3. Ensure the use of continuous delivery pipelines and tools to fully automate deployment, testing, delivery, and management of development, QA and production systems on a variety of cloud platforms 4. Troubleshoot and take ownership of issues in development, test and production environments. Including performance optimization and continuous tuning 5. Continuous learning and evaluation of the latest approaches, tools, and technologies. 6. Continually collaborate, inspire and think outside of the box to conceive of and build solutions to place Dentsu ahead of the curve and be a leading contributor to DevOps innovation within the industry. Key Skills and Experience: 1. Must be from a UNIX / Linux sys-admin background 2. Expert knowledge in container orchestration technologies (emphasis on Kubernetes) 3. Expert knowledge of continuous integration and automated testing 4. Experience in one or more popular CI platforms (e.g. Jenkins, Bamboo, Travis, Brigade) 5. Experience with Helm package manager 6. Strong experience in at least one major cloud platform 7. Knowledge of Ansible and Terraform 8. Strong TCP/IP skills 9. Good understanding of PKI 10. Expert scripting skills (bash/sh/ksh) 11. Experience in another language (e.g. golang, javascript, python, Perl) Candidate Profile: 1. A thought leader, not afraid to challenge and disrupt pre-conceived ideas and approaches. 2. A passionate advocate of automated testing and continuous deployment 3. Ability to quickly learn and adapt to emerging techniques, frameworks, and platforms 4. Able to switch easily between strategy/leadership/management and hands-on engineering responsibilities 5. Excellent communication, stakeholder management and collaboration skills Location: DGS India - Mumbai - Thane Ashar IT Park Brand: Dentsu Time Type: Full time Contract Type: Permanent

The purpose of this role is to drive and oversee the delivery of the business transformation projects to ensure that the objectives are clearly defined and achieved within the agreed time, cost and quality constraints. Job Description: Key responsibilities: Project Leadership. Creates and leads the project team to deliver the agreed outputs/outcomes within scope, time, cost and quality constraints. Promotes the wider good in all actions, acting in a morally, legally and socially appropriate manner in dealings with stakeholders and members of Transformation/Programme teams and organisation Project Team Management. Designs, develops and manages the project team on a day to day basis, appropriate to context and project stage. Clearly defines, agrees and delegates team and key stakeholder roles and responsibilities; develops capability and fosters innovation; empowers and inspires others to deliver successful projects Project Business Case and Benefits Management. Prepares, gains approval of, refines and updates business cases that justify projects in terms of benefits, costs and risks; tracking and reporting forecast and actuals against them. Works with project managers, programme managers and business benefit owners to identify, tracks and delivers benefits set out in business case. Ensures realisation of benefits for business through planning and designing project outputs meet programme requirements and desired outcomes Project Budget and Cost Management. Develops and agrees budgets for projects and control forecast and actual costs against them Governance. Establishes and maintains effective governance and decision making for the delivery of projects; defines clear roles, responsibilities and accountabilities, that align with programme and/or organisational practice and requirements Project Plans and Controls. Designs, consolidates and documents the fundamental components of projects (scope, schedule, approach, resource requirements, budgets, risks, opportunities and issues, and quality requirements). Establishes, and implements where necessary, protocols to change the scope of projects and update of configuration documents as required Scheduling and Dependency Management. Develops, produces and maintains schedules for project activities that takes account of dependencies, resource requirements and constraints in order to enable the efficient realisation of project outputs and associated benefits. Maps project dependencies and identifies owners, builds dependency management into the projects governance cycle. Works with programme/project managers and business leads to ensure dependencies are actively managed, acts as an arbiter and enforcer and resolves issues between the various elements of the project Project Resource Management. Identifies and secures the provision of resources needed for projects from internal and/or external providers, including agreement of contracts (within delegated financial authority limits) for the provision of goods and/or services, monitoring compliance. Develops, implements and updates resource allocations plans (other than finance) needed for projects, taking account of availabilities and scheduling variances Stakeholder and Communications Management. Identifies and manages pertinent project stakeholder relationships (taking account of their levels of influence and particular interests), communications and need for senior level support. Ensures continual alignment with programme (if applicable), wider transformation portfolio management and organisation communications. Manages internal and external relationships as appropriate. Proactively Identifies, addresses and seeks to resolve differences between individuals and/or interest groups Project Risks and Issues Management. Identifies and monitors project risks (threats and opportunities) and issues. Develops mitigating actions and escalate as appropriate. Identifies and works with related projects to manage interdependencies Location: Mumbai Brand: Merkle Time Type: Full time Contract Type: Independent Contractor

The purpose of this role is to perform and support the Canada team with Treasury and Tax processes. The role will operate with the US & Canada aligned shift timings. Job Description: Regular responsibilities Review the overall cash position and ensure it is updated by contributing teams Prepare daily summary of significant cash transactions from and provide comparisons and analysis on variation with prepared forecast First review of sales tax documentation and flag problems for further review First review of credit insurance and highlight concerns Process Foreign exchange trades and provide JE as needed Setting up payments with manager supervision Month end work Assistance in closing out the sales tax transactions Providing JE related to fixing the bank recs for month end reporting First review and formatting credit insurance monthly reports; cross referencing with cash transactions during the month Tax work for annual returns / monthly reports Assistance in preparing analysis of taxes Assistance in providing JE Assistance on Ad hoc reporting Professional Qualifications & Experience Finance graduate with 6 - 8 years of experience Prior experience in Treasury or Tax processes an advantage Background in General ledge accounting/ journal entries Effective communicator Hardworking and flexibility in working hours Ability to prioritize the tasks Willingness to accept additional and urgent tasks as and when required Process driven and independent Location: Bangalore Brand: Bcoe Time Type: Full time Contract Type: Permanent

The purpose of this role is to execute data processing for our clients. This role is able to understand the input file requirements and output file requirements, along with data processing capabilities. The end result is a role that delivers data processing results for our clients. Job Description: Bachelors degree in Statistics, Mathematics, Computer Science, or a related field 2+years of experience working with UNCLE, Q, Dimension, SPSS syntax or similar data processing software. Experience working with data for large, multi-market complex projects Experience in data processing - including weighting, stacking and sig testing, with good understanding of industry best practices Should be able to perform extensive quality checks and data validation to ensure accuracy. Coordinate with internal project managers / client services team members to finalize materials (data processing spec forms); provide guidance on tool functionality and solutions. Develop and maintain data processing workflows and documentation. Microsoft Excel skills required with VBA macro writing experience/knowledge a plus Should be comfortable to work in night shifts - rotational, 24/7 operational support and working on weekends - Roaster Client-focused with strong consulting, communication, and collaboration skills. Emotionally intelligent, adept at conflict resolution, and thrives in high-pressure, fast-paced environments. Demonstrates ownership, problem-solving ability, and effective multitasking and prioritization Location: DGS India - Mumbai - Thane Ashar IT Park Brand: Merkle Time Type: Full time Contract Type: Permanent

The BI Data Engineer is a key role within the Enterprise Data team. We are looking for expert Azure data engineer with deep Data engineering, ADF Integration and database development experience. This is a unique opportunity to be involved in delivering leading-edge business analytics using the latest and greatest cutting-edge BI tools, such as cloud-based databases, self-service analytics and leading visualisation tools enabling the company s aim to become a fully digital organisation. Job Description: Key Responsibilities: Build Enterprise data engineering and Integration solutions using the latest Azure platform, Azure Data Factory, Azure SQL Database, Azure Synapse and Azure Fabric Development of enterprise ETL and integration routines using ADF Evaluate emerging Data enginnering technologies, standards and capabilities Partner with business stakeholder, product managers, and data scientists to understand business objectives and translate them into technical solutions. Work with DevOps, engineering, and operations teams to implement CI/CD pipelines and ensure smooth deployment of data engiinering solutions Required Skills and Experience Technical Expertise : Expertise in the Azure platform including Azure Data Factory, Azure SQL Database, Azure Synapse and Azure Fabric Exposure to Data bricks and lakehouse arcchitect & technologies Extensive knowledge of data modeling, ETL processes and data warehouse design principles. Experienc in machine learning and AI services in Azure. Professional Experience : 5+ years of experience in database development using SQL 5+ Years integration and data engineering experience 5+ years experience using Azure SQL DB, ADF and Azure Synapse 2 + Years experience using Power BI Comprehensive understanding of data modelling Relevant certifications in data engineering, machine learning, AI. Key Competencies: Expertise in data engineering and database development. Familiarity with the Microsoft Fabric technologies including One Lake, Lakehouse and Data Factory Strong understanding of data governance, compliance, and security frameworks. Proven ability to drive innovation in data strategy and cloud solutions. A deep understanding of business intelligence workflows and the ability to align technical solutions Strong database design skills, including an understanding of both normalised form and dimensional form databases. In-depth knowledge and experience of data-warehousing strategies and techniques e.g., Kimball Data warehousing Experience in Cloud based data integration tools like Azure Data Factory Experience in Azure Dev Ops or JIRA is a plus Experience working with finance data is highly desirable Familiarity with agile development techniques and objectives Location: DGS India - Mumbai - Thane Ashar IT Park Brand: Dentsu Time Type: Full time Contract Type: Permanent

We are seeking a Senior DevOps Engineer with 5-8 years of hands-on experience to take a key role in designing, building, and managing scalable cloud infrastructure and deployment automation across Azure and AWS environments. This role is ideal for someone who thrives on solving complex infrastructure challenges, enjoys automating at scale, and is passionate about delivering reliable cloud-native platforms for modern applications. You will work closely with cross-functional teams to implement DevOps best practices, support CI/CD pipeline development, and drive infrastructure modernization efforts using containerization, serverless technologies, and Infrastructure as Code (IaC). Job Description: Key Responsibilities: Cloud Infrastructure Design & Operations Architect, provision, and manage cloud infrastructure on Azure and AWS to support enterprise applications with high availability, scalability, and security. Infrastructure as Code (IaC) Build and maintain IaC scripts using Terraform , Bicep , ARM Templates for consistent and automated provisioning. Deployment Automation & CI/CD Design, implement, and maintain CI/CD pipelines using GitHub Actions , or similar tools to enable efficient and reliable application delivery. Containerization & Orchestration Deploy and manage containerized workloads using AKS , and container registries like Azure Container Registry (ACR) . Monitoring, Logging & Observability Set up and manage observability frameworks using tools such as Azure Monitor , Prometheus , Grafana , or ELK to track performance and health. Cloud Security & Identity Management Implement secure infrastructure using Azure RBAC , AWS IAM , and manage identity integrations through Azure AD (Entra ID) and Okta . Cost Optimization & Resource Governance Analyze resource utilization and implement cost optimization strategies across cloud environments, using tools like Azure Advisor and Cost Explorer . Disaster Recovery & High Availability Contribute to the design and implementation of backup , scalling Cloud Networking Configure and maintain VNETs, subnets, NSGs, route tables, private endpoints, VPNs, and load balancers to ensure secure, reliable network communication. Required Skills & Experience: Deep understanding of Azure core services including AKS , App Services , Functions , Storage , and Networking . Working experience with AWS services such as EC2 , S3 , Lambda , EKS , and RDS . Strong proficiency in Infrastructure as Code using Terraform , ARM , or Bicep . Solid background in CI/CD implementation using tools like GitHub Actions , or Jenkins . Proven expertise in containerization technologies : Docker, Kubernetes (AKS/EKS), and service mesh frameworks like Istio . Proficient in at least one scripting language such as PowerShell , Bash , or Python . Familiarity with monitoring and observability tools : Azure Monitor, Prometheus, Grafana, ELK. Experience with cloud security best practices , identity/access management, and governance policies. Ability to explain and document architectural decisions and collaborate with technical and non-technical stakeholders. Preferred Qualifications: Certifications : Microsoft Azure Administrator (AZ-104), Azure DevOps Engineer Expert, AWS Solutions Architect Associate. Experience with Serverless architectures and event-driven services (e.g., Azure Functions, AWS Lambda). Hands-on experience in multi-region deployment strategies , DR planning , and resilience engineering . Exposure to Agile/Scrum development environments and DevSecOps workflows. Working knowledge of Azure Backup , Site Recovery , and cost governance. Educational Background: Bachelor s degree in Computer Science , Engineering , or a related technical field. Location: DGS India - Pune - Kharadi EON Free Zone Brand: Dentsu Creative Time Type: Full time Contract Type: Consultant

This role is crucial for supporting our clients with advanced analytics and reporting capabilities. The Insights and Reporting Specialist will transform data into actionable insights, driving strategic decision-making and business growth. Utilizing tools like GCP/ SQL/ Python, Tableau/ Power BI/ Looker Studio, the specialist will ensure efficient data handling and visualization. Their expertise in Retail/ CPG along with strong communication skills, will enable them to address industry-specific challenges effectively. This position is associated with significant revenue and future opportunities, making it a strategic asset for our organization. Job Description: Responsibilities: Develop and maintain data tables (management, extraction, harmonizing etc.) using GCP/ SQL/ Snowflake etc. This involves designing, implementing, and writing optimized codes, maintaining complex SQL queries to extract, transform, and load (ETL) data from various tables/sources, and ensuring data integrity and accuracy throughout the data pipeline process. Create and manage data visualizations using Tableau/Power BI/ Looker Studio. This involves designing and developing interactive dashboards and reports, ensuring visualizations are user-friendly, insightful, and aligned with business requirements, and regularly updating and maintaining dashboards to reflect the latest data and insights.. Generate insights and reports to support business decision-making. This includes analyzing data trends and patterns to provide actionable insights, preparing comprehensive reports that summarize key findings and recommendations, and presenting data-driven insights to stakeholders to inform strategic decisions. Handle ad-hoc data requests and provide timely solutions. This involves responding to urgent data requests from various departments, quickly gathering, analyzing, and delivering accurate data to meet immediate business needs, and ensuring ad-hoc solutions are scalable and reusable for future requests. Collaborate with stakeholders to understand and solve open-ended questions. This includes engaging with business users to identify their data needs and challenges, working closely with cross-functional teams to develop solutions for complex, open-ended problems, and translating business questions into analytical tasks to deliver meaningful results. Design and create wireframes and mockups for data visualization projects. This involves developing wireframes and mockups to plan and communicate visualization ideas, collaborating with stakeholders to refine and finalize visualization designs, and ensuring that wireframes and mockups align with user requirements and best practices. Communicate findings and insights effectively to both technical and non-technical audiences. This includes preparing clear and concise presentations to share insights with diverse audiences, tailoring communication styles to suit the technical proficiency of the audience, and using storytelling techniques to make data insights more engaging and understandable. Perform data manipulation and analysis using Python. This includes utilizing Python libraries such as Pandas, NumPy, and SciPy for data cleaning, transformation, and analysis, developing scripts and automation tools to streamline data processing tasks, and conducting statistical analysis to generate insights from large datasets. Implement basic machine learning models using Python. This involves developing and applying basic machine learning models to enhance data analysis, using libraries such as scikit-learn and TensorFlow for model development and evaluation, and interpreting and communicating the results of machine learning models to stakeholders. Automate data processes using Python. This includes creating automation scripts to streamline repetitive data tasks, implementing scheduling and monitoring of automated processes to ensure reliability, and continuously improving automation workflows to increase efficiency. Requirements: 3 to 5 years of experience in data analysis, reporting, and visualization. This includes a proven track record of working on data projects and delivering impactful results and experience in a similar role within a fast-paced environment. Proficiency in GCP/ SQL/ Snowflake/ Python for data manipulation. This includes strong knowledge of GCP/SQL/Snowflake services and tools, advanced SQL skills for complex query writing and optimization, and expertise in Python for data analysis and automation. Strong experience with Tableau/ Power BI/ Looker Studio for data visualization. This includes demonstrated ability to create compelling and informative dashboards, and familiarity with best practices in data visualization and user experience design. Excellent communication skills, with the ability to articulate complex information clearly. This includes strong written and verbal communication skills, and the ability to explain technical concepts to non-technical stakeholders. Proven ability to solve open-ended questions and handle ad-hoc requests. This includes creative problem-solving skills and a proactive approach to challenges, and flexibility to adapt to changing priorities and urgent requests. Strong problem-solving skills and attention to detail. This includes a keen eye for detail and accuracy in data analysis and reporting, and the ability to identify and resolve data quality issues. Experience in creating wireframes and mockups. This includes proficiency in design tools and effectively translating ideas into visual representations. Ability to work independently and as part of a team. This includes being self-motivated and able to manage multiple tasks simultaneously and having a collaborative mindset and willingness to support team members. Basic machine learning skills. This includes an understanding of fundamental machine learning concepts and techniques and experience with libraries such as scikit-learn and TensorFlow etc Domain-specific knowledge in Retail/ CPG/ etc. This includes an understanding of industry-specific challenges and data requirements, experience in analyzing and reporting data within these domains, and being well-versed with key performance indicators (KPIs) relevant to any of these domains. This also includes applying domain knowledge to generate relevant insights and solutions. Location: DGS India - Bengaluru - Manyata H2 block Brand: Merkle Time Type: Full time Contract Type: Permanent

The purpose of this role is to deliver analysis inline with client business objectives, goals, and to maintain, develop and exceed client performance targets. Job Description: Key responsibilities: Understands the client needs in specific. Ensures crisp communication with clients and work as an interface between team members and client counterpart. Discusses issues related to questionnaires with clients and suggest solutions for the same Uses specialised knowledge of market research tools / programming languages to understand the client requirements and build surveys/ deliver data tables as per the requirement with required quality and productivity levels Reviews project requirements and executes projects independently as per requirements by following the guidelines and deploying the tools/systems as applicable Assigns and allocates work to the junior team members, coordinates with them and help them programme the surveys Creates and follows work allocation schedule and project plan Location: DGS India - Mumbai - Goregaon Prism Tower Brand: Merkle Time Type: Full time Contract Type: Permanent

The purpose of this role is to lead and manage customer analysis deep dives, execute the strategies outlined by senior leadership, and manage the day-to-day communication with clients. Job Description: Required Skills Bachelor s degree (quantitative field preferred) 2 - 3 years of business analysis focusing on performance optimization 2 - 3 years of continuous work with digital analysis tools, such as Google Analytics or Adobe Analytics Excellent communication skills including verbal, written and data visualization Very strong skills in Excel and PowerPoint Preferred Skills 2 to 3 years working in a professional services organization, such as an advertising agency, media agency or management consultancy 1 - 2 years experience presenting analysis and insights to stakeholders/clients Ability to manage time effectively across competing priorities Use sound judgment to identify issues and escalate them when appropriate Takes constructive feedback well and not afraid to ask questions when help is needed Experience with data visualization tools such as Tableau, Domo, Data Studio or Power BI Contribute to improvements in processes used by analysts Giving constructive feedback/mentorship to less experienced colleagues Ability to collaborate effectively on a workstream What will make you stand out Demonstrated passion for the field of analytics; ability to pick up new skills proactively Understanding of major digital marketing channels, such as paid search and programmatic display Exposure to advanced web analytics methodologies such A/B testing, attribution, survey analysis Experience gathering and documenting business requirements for analytics initiatives Experience presenting analysis to clients or stakeholders Comfortable taking initiative while executing a project think of a question to pull this out - a client has an urgent or important tasks - which do you do? Location: Pune Brand: Merkle Time Type: Full time Contract Type: Permanent

Data Validation (DV) Specialist (Using SPSS) - Team Leader Job Description: Perform data quality checks and validation on market research datasets Develop and execute scripts and automated processes to identify data anomalies. Collaborate with the Survey Programming team to review survey questionnaires and make recommendations for efficient programming and an optimal layout that enhances user experience. Investigate and document data discrepancies, working with survey programming team/data collection vendors as needed. Collaborate with Survey Programmers and internal project managers to understand survey requirements and provide guidance on quality assurance best practices. Provide constructive feedback and suggestions for improving the quality of data, aiming to enhance overall survey quality. Automate data validation processes where possible to enhance efficiency and reduce time spent on repetitive data validation tasks. Maintain thorough documentation of findings and recommendations to ensure transparency and consistency in quality practices Actively participate in team meetings to discuss project developments, quality issues, and improvement strategies, fostering a culture of continuous improvement Manage the pipeline and internal/external stakeholder expectations Train and mentor junior team members Qualification: Bachelor s degree in computer science, Information Technology, Statistics, or a related field. At least 4+ years of experience in data validation process. Familiar with data validation using SPSS, Dimension, Quantum platform or similar tools A proactive team player who thrives in a fast-paced environment and enjoys repetitive tasks that contribute to project excellence. Programming knowledge in a major programming language such as R, JavaScript, or Python, with an interest in building automation scripts for data validation. Excellent problem-solving skills and a willingness to learn innovative quality assurance methodologies. A desire for continuous improvement in processes, focusing on creating efficiencies that lead to scalable and high-quality data processing outcomes. Location: Mumbai Brand: Merkle Time Type: Full time Contract Type: Permanent

The individual Contributor role brings over 4-7 years of experience in the field of market research. Need to have experience in all aspects of data collection and field management, including sample and quota design, deployment plans, field work monitoring, managing field related issues, and meet client s field objectives. Job Description: Key responsibilities: Need to Have Should be able to test links in tools like Decipher, ConfirmIT Data checking e.g., identify straight liners, speeders, verbatim checks etc. Should be able to understand and QC different deliverables like data tables, coded data, reports, scorecards etc. Create cross tabs on Decipher and Q Basic understanding of SPSS i.e. should be able to write basic syntax, take frequency, update data etc. Create reports in PowerPoint Good in excel Key responsibilities: Good To have - dashbording in DisplayR Location: Mumbai Brand: Merkle Time Type: Full time Contract Type: Permanent

Job Description: Business Title Lead Technical Architect Years of Experience > 7 Years Must have skills 1. Database ( SQL server / SnowFlake / Teradata / Redshift / Vertica / Oracle / Big query / Azure DW etc) 2. ETL tool (Talend, Informatica, IICS (Informatica cloud) ) 3. Experience in Cloud computing (one or more of AWS, Azure, GCP) 4. Python, UNIX shell scripting, Project & resource management 5. SVN, JIRA, Automation workflow (Apache Airflow, Tidal, Tivoli or similar) Good to have skills 1. PySpark, Big Query, Familiar with NoSQL such as MongoDB etc 2. Client-facing skills Jod Descreption The Technical Lead / Technical Consultant is a core role and focal point of the project team responsible for the whole technical solution and managing the day to day delivery. The role will focus on the technical solution architecture, detailed technical design, coaching of the development/implementation team and governance of the technical delivery. Technical ownership of the solution from bid inception through implementation to client delivery, followed by after sales support and best practise advice. Interactions with internal stakeholder s and clients to explain technology solutions and a clear understanding of client s business requirements through which to guide optimal design to meet their needs. Key responsibiltes Ability to design simple to medium data solutions for clients by using cloud architecture using AWS/GCP Strong understanding of DW, data mart, data modelling, data structures, databases, and data ingestion and transformation. Working knowledge of ETL as well as database skills Working knowledge of data modelling, data structures, databases, and ETL processes Strong understand of relational and non-relational databases and when to use them Leadership and communication skills to collaborate with local leadership as well as our global teams Translating technical requirements into ETL/ SQL application code Document project architecture, explain detailed design to team and create low level to high level design Create technical documents for ETL and SQL developments using Visio, PowerPoint and other MS Office package Will need to engage with Project Managers, Business Analysts and Application DBA to implement ETL Solutions Perform mid to complex level tasks independently Support Client, Data Scientists and Analytical Consultants working on marketing solution Work with cross functional internal team and external clients Strong project Management and organization skills. Ability to lead 1 - 2 projects of team size 2 - 3 team members. Code management systems which includes Code review, deployment, cod Work closely with the QA / Testing team to help identify/implement defect reduction initiatives Work closely with the Architecture team to make sure Architecture standards and principles are followed during development Performing Proof of Concepts on new platforms/ validate proposed solutions Work with the team to establish and reinforce disciplined software development, processes, standards, and error recovery procedures are deployed Must understand software development methodologies including waterfall and agile Distribute and manage SQL development Work across the team Education Qulification 1. Bachelor s or Master Degree in Computer Science Shift timingGMT (UK Shift) - 2 PM to 11 PM Location: Mumbai Brand: Merkle Time Type: Full time Contract Type: Permanent

The purpose of this role is to script surveys on the survey platform, ensuring accurate execution according to specifications, with a focus on on-time delivery and end-to-end quality assurance. Job Description: Bachelor s degree in computer science, Information Technology, Statistics, or a related field 2+years of experience working with VOXCO, Forsta or similar survey programming software. Experience of scripting multi-market complex projects. Program and script high-complexity surveys on the Survey platform, ensuring accurate execution according to specifications, with a focus on on-time delivery and end-to-end quality assurance. Conduct thorough testing of surveys, review data, and provide high-quality links to clients. Be able to provide technical support and troubleshooting for survey-related issues. Coordinate with internal project managers / client services team members to finalize materials; provide guidance on tool functionality and solutions. Review survey questionnaires and make recommendations for efficient programming and optimal data layout to improve data quality and user experience. Develop, test, and implement innovative approaches, functions, and solutions to streamline survey programming and enhance project efficiency. Strong understanding of JavaScript, HTML, CSS, and other relevant programming languages. Should be comfortable to work in night shifts - rotational, 24/7 operational support and working on weekends - Roaster Client-focused with strong consulting, communication, and collaboration skills. Emotionally intelligent, adept at conflict resolution, and thrives in high-pressure, fast-paced environments. Demonstrates ownership, problem-solving ability, and effective multitasking and prioritization

Marketing Measurement & Optimization Analyst Job Description: Qualifications: Bachelors degree in Statistics, Mathematics, Computer Science, Engineering, or a related field. Proven 0-2 years of experience in a similar role. Strong problem-solving skills. Excellent communication skills. Skills: Proficiency in R (tidyverse, plotly/ggplot2), or Python (pandas, numpy), for data manipulation and visualization, and SQL (joins, aggregation, analytics functions) for data handling. Ability to understand marketing data and perform statistical tests. Knowledge of data visualization tools such as Tableau or Power BI. Responsibilities: Familiar with Media Mix Modelling, Multi-Touch Attribution. Knowledge of panel data and its analysis. Understand of Data Science workflow. Familiarity with marketing channels, performance & effectiveness metrics, and conversion funnel. Work with large data and performing data QA & manipulation tasks such as joins/merge, aggregation & segregation, append.

Data Validation (DV) Specialist (Using SPSS) - Analyst Job Description: Core Responsibilities: Perform data quality checks and validation on market research datasets Develop and execute scripts and automated processes to identify data anomalies. Collaborate with the Survey Programming team to review survey questionnaires and make recommendations for efficient programming and an optimal layout that enhances user experience. Investigate and document data discrepancies, working with survey programming team/data collection vendors as needed. Create and maintain detailed data documentation and validation reports. Collaborate with Survey Programmers and internal project managers to understand data processing requirements and provide guidance on quality assurance best practices. Provide constructive feedback and suggestions for improving the quality of data, aiming to enhance overall survey quality. Automate data validation processes where possible to enhance efficiency and reduce time spent on repetitive data validation tasks. Maintain thorough documentation of findings and recommendations to ensure transparency and consistency in quality practices. Actively participate in team meetings to discuss project developments, quality issues, and improvement strategies, fostering a culture of continuous improvement. Qualification: Bachelor s degree in computer science, Information Technology, Statistics, or a related field. At least 2+ years of experience in data validation process. Familiar with data validation using SPSS, Dimension, Quantum platform or similar tools A proactive team player who thrives in a fast-paced environment and enjoys repetitive tasks that contribute to project excellence. Programming knowledge in a major programming language such as R, JavaScript, or Python, with an interest in building automation scripts for data validation. Excellent problem-solving skills and a willingness to learn innovative quality assurance methodologies. A desire for continuous improvement in processes, focusing on creating efficiencies that lead to scalable and high-quality data processing outcomes.

The purpose of this role is to implement and execute Paid Social campaigns, in line with the agreed strategy, to maintain, develop and exceed client performance targets. Job Description: Key responsibilities: Provides day to day implementation, optimisation and upload of client campaigns through direct input and supervising junior staff Liaises with vendors and third party reps to maintain and develop relationships and build knowledge of new features and betas Interprets performance reports to provide actionable insights and analysis to meet campaign objectives Coaches and develops junior staff, supervising their projects and day to day activities Provides accurate client communication that details performance and return on investment via regular campaign reporting and analysis Location: DGS India - Chennai - Anna Nagar Tyche Towers Brand: Paragon Time Type: Full time Contract Type: Permanent

The purpose of this role is to assist with the planning, reviewing and optimisation of Display campaigns whilst supporting the team in reporting and managing client accounts. Job Description: Key responsibilities: Focuses on day-to-day execution Proactively reviews and manages client data to ensure optimal performance on all campaigns Tracks and reports on campaign results, gathers data analysis and participates in weekly calls Generates campaign reports and is responsible for pacing, QA and trafficking Develops and maintains accurate project plans for client status updates Location: Chennai Brand: Paragon Time Type: Full time Contract Type: Permanent

The purpose of this role is to lead and manage the implementation and execution of Paid Search campaigns and strategies and the day-to-day communication with clients to help achieve their goals. Job Description: Key responsibilities: Develops account strategy in partnership with client and PPC Director and is accountable for the execution of strategy and achievement of KPIs Responsible for the operational success of accounts, ensures deliverables are met on time and on budget Owns and manages the client strategy and plans key campaign efficiencies Manages all day-to-day efforts and is the primary day-to-day SME voice to the client Plans accounts and growth opportunities, working closely with the Account Directors Builds strong relationships across Client Services and other channel teams Location: DGS India - Chennai - Anna Nagar Tyche Towers Brand: Paragon Time Type: Full time Contract Type: Permanent

The purpose of this role is to set the strategic direction for the team, taking ownership of the overall Insights and analysis discipline in the market and liaising with other channels to ensure an integrated response to people-based marketing objectives. Job Description: Job Description Summary We are seeking an experienced Advanced Analytics Senior Manager to join our dynamic team. This role focuses on leveraging advanced analytics techniques, including machine learning algorithms, Generative AI (GenAI), and large language models (LLMs), to drive data-driven decision-making within the retail/CPG domain. The ideal candidate will possess a strong quantitative background, a passion for transforming complex data into actionable insights, an extensive experience into leading mid-to-large sized teams, and the ability to create, assess and implement RFPs, POCs, approaches and frameworks. Key Responsibilities: Develop, implement, and maintain advanced analytical models using machine learning algorithms and GenAI applications Utilize various advanced analytics techniques to uncover trends, patterns, and insights from large and complex datasets. Collaborate with cross-functional teams to identify business needs and deliver data-driven solutions. Create visually compelling dashboards and reports to present findings to stakeholders. Continuously evaluate and improve existing analytics methodologies and models to enhance accuracy and performance. Stay abreast of industry trends and advancements in analytics and machine learning to drive innovation within the team. Mentor junior team members and contribute to knowledge sharing within the organization. Basic Qualifications: Bachelor s or Master s degree in Data Science, Business Analytics, Mathematics, Statistics, or a related field. 10+ years of experience in advanced analytics, data science, machine learning, Generative AI or a related field. Strong experience with quantitative modeling, predictive analytics, text analytics, and forecasting methodologies Proficiency in SQL (or Google BigQuery), Python, visualization tools like Tableau/PowerBI Familiarity with the Retail/CPG/Tech industry and experience with product, transaction, and customer-level data. Excellent communication skills, both verbal and written, with the ability to convey complex concepts to non-technical stakeholders. Strong analytical and problem-solving skills, with an inquisitive mindset. Desired Skills: Proficient in the following advanced analytics techniques: Descriptive Analytics: Statistical analysis, data visualization. Predictive Analytics: Regression analysis, time series forecasting, classification techniques, market mix modeling Prescriptive Analytics: Optimization, simulation modeling. Text Analytics: Natural Language Processing (NLP), sentiment analysis. Extensive knowledge of machine learning techniques, including: Supervised Learning: Linear regression, logistic regression, decision trees, support vector machines, random forests, gradient boosting machines among others Unsupervised Learning: K-means clustering, hierarchical clustering, principal component analysis (PCA), anomaly detection among others Reinforcement Learning: Q-learning, deep Q-networks, etc. Experience with Generative AI and large language models (LLMs) for text generation, summarization, and conversational agents. Researching, loading and application of the best LLMs (GPT, Gemini, LLAMA, etc.) for various objectives Hyper parameter tuning Prompt Engineering Embedding & Vectorization Fine tuning Proficiency in data visualization tools such as Tableau or Power BI. Strong skills in data management, structuring, and harmonization to support analytical needs. Location: Coimbatore Brand: Merkle Time Type: Full time Contract Type: Permanent