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Why CDM Smith? Check out this video and find out why our team loves to work here! Join Us! CDM Smith – where amazing career journeys unfold. Imagine a place committed to offering an unmatched employee experience. Where you work on projects that are meaningful to you. Where you play an active part in shaping your career journey. Where your co-workers are invested in you and your success. Where you are encouraged and supported to do your very best and given the tools and resources to do so. Where it’s a priority that the company takes good care of you and your family. Our employees are the heart of our company. As an employer of choice, our goal is to provide a challenging, progressive and inclusive work environment which fosters personal leadership, career growth and development for every employee. We value passionate individuals who challenge the norm, deliver world-class solutions and bring diverse perspectives. Join our team, and together we will make a difference and change the world. Job Description AI Model Development: Design, develop, and implement cutting-edge machine learning algorithms and models, focusing on NLP, Generative AI, and other AI technologies. Research and Innovation: Stay up to date with the latest advancements in machine learning and artificial intelligence. Conduct research to identify new techniques and approaches to improve our AI solutions. Data Analysis: Analyze large and complex datasets to extract meaningful insights. Apply statistical analysis and machine learning techniques to gain a deeper understanding of the data. Collaboration: Collaborate with cross-functional teams, including software engineers and data scientists, to integrate machine learning models into applications and systems effectively. Algorithm Optimization: Optimize machine learning algorithms for performance, scalability, and efficiency. Identify and resolve bottlenecks to ensure smooth and fast execution. Testing and Validation: Evaluate the performance of machine learning models using appropriate metrics. Conduct rigorous testing and validation to ensure the accuracy and reliability of the models. Documentation: Document the development process, algorithms, and models. Prepare clear and concise technical documentation for reference and knowledge sharing. Ability to conduct cost/benefit analysis, Business case development etc. Prioritize requirements and create conceptual prototypes and mock-ups. Master strategic business process modeling, traceability, and quality management techniques. Strong verbal and written communication and presentation skills. Experience identifying and communicating analytical outcomes, verbally and in writing, to both business and technical teams. Minimum Qualifications Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc.) Proven Familiarity of Finance & Accounting principles and/or project accounting. Proven experience in developing and implementing machine learning models, particularly in areas like NLP and Generative AI. Proficiency in programming languages such as Python, TensorFlow, PyTorch, or similar frameworks. Strong understanding of deep learning architectures, algorithms, and frameworks. Experience with natural language processing techniques, sentiment analysis, text summarization, and related NLP tasks. Familiarity with generative models such as GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders). Bachelor’s degree in computer science, Information Management/IT, Statistics, Business Administration, or related disciplines. Master’s Degree in Statistics, Business Administration or related disciplines is a plus. Certifications in Data Analytics & Data Science is a plus. Must have 1+ years of experience working on ML algorithms and related products. Must have 1+ years of experience working with relational databases (Oracle), query authoring (SQL). Experience in Business Intelligence tools like Qlik Sense, Tableau, Power BI is a plus. Experience on creating the Dashboards, Scorecards, Ad-hoc Reports. Strong Knowledge in ERP (Oracle EBS: Projects, AR, AP Modules) Amount Of Travel Required 0% Background Check and Drug Testing Information CDM Smith Inc. and its divisions and subsidiaries (hereafter collectively referred to as “CDM Smith”) reserves the right to require background checks including criminal, employment, education, licensure, etc. as well as credit and motor vehicle when applicable for certain positions. In addition, CDM Smith may conduct drug testing for designated positions. Background checks are conducted after an offer of employment has been made in the United States. The timing of when background checks will be conducted on candidates for positions outside the United States will vary based on country statutory law but in no case, will the background check precede an interview. CDM Smith will conduct interviews of qualified individuals prior to requesting a criminal background check, and no job application submitted prior to such interview shall inquire into an applicant's criminal history. If this position is subject to a background check for any convictions related to its responsibilities and requirements, employment will be contingent upon successful completion of a background investigation including criminal history. Criminal history will not automatically disqualify a candidate. In addition, during employment individuals may be required by CDM Smith or a CDM Smith client to successfully complete additional background checks, including motor vehicle record as well as drug testing. Agency Disclaimer All vendors must have a signed CDM Smith Placement Agreement from the CDM Smith Recruitment Center Manager to receive payment for your placement. Verbal or written commitments from any other member of the CDM Smith staff will not be considered binding terms. All unsolicited resumes sent to CDM Smith and any resume submitted to any employee outside of CDM Smith Recruiting Center Team (RCT) will be considered property of CDM Smith. CDM Smith will not be held liable to pay a placement fee. Business Unit COR Group COR Assignment Category Fulltime-Regular Employment Type Regular

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. The opportunity The Brand Research & Insights Assistant Director will be a key contributor in advancing EY's brand strategy through comprehensive research and insightful data analysis. This role is responsible for day-to-day management of global brand tracking initiatives (inc. EY Global Brand Survey) and developing actionable brand insights across a range of research and data sources. The Assistant Director will work closely with the Global Brand Research & Insights Leader, collaborate with cross-functional teams to ensure that brand strategies are informed by robust data and insights, ultimately contributing to the growth and success of EY's brand in a competitive marketplace. Key responsibilities Support Global Brand Survey research: Assist in the design and execution of global brand survey studies to monitor brand health and perception across various markets, and our progress towards are All in brand ambitions. Analyze research findings to identify trends, strengths, opportunities, and areas for improvement. Help develop and maintain automated reporting systems that provide insightful reports for stakeholders. Ensuring that reports are user-friendly and accessible to stakeholders, facilitating data-driven decision-making. Brand insights development: Collaborate in synthesizing brand research and other data sources to generate actionable brand insights that inform progress in All in, marketing strategies and initiatives. Google Keyword Data Analysis: Generate and analyze Google keyword data to understand search trends and behaviour. Own the production of insightful reports. Advertising testing support: Assist in the planning and execution of advertising tests to evaluate the effectiveness of marketing campaigns. Help analyze test results to provide recommendations for optimizing ad strategies and improving ROI. Skills and attributes for success Ability to clearly articulate and transform data into a story. Engage in cross team collaboration to drive activations from start to end. Eager and fast learner who is willing to expand on core skills. To qualify for the role, you must have Bachelor’s degree in Marketing, Business, Data Analytics, or a related field. 5+ years of experience in market research, with a demonstrated ability to support brand performance initiatives. Strong analytical skills with proficiency in data analysis tools and software (e.g., SPSS, Excel, Google Analytics). Excellent communication and presentation skills, with the ability to convey complex data insights to diverse audiences. Experience in automated reporting and data visualization tools. Track record of research agency management and large multinational research programs Ability to work collaboratively in a fast-paced, multidisciplinary environment and manage multiple projects simultaneously. Collaboration and Communication: Work closely with Brand, Marketing and Communications stakeholders, to develop research programs and insightful analyses. Consult on other internal research and insights programs and offer best practice advice. Present research findings and insights to team members and stakeholders, ensuring clarity and actionable recommendations. Ideally, you’ll also have Agile ways of working Technologies and Tools Platforms – Google Ads, Sprinklr, Hootsuite, LinkedIn, Facebook, Instagram etc Analytics – Adobe Analytics or Google Analytics. Data Visualization - Power BI or Tableau Project management Web Analytics Tools What we look for Ability to think critically, analyze information, and make actionable recommendations Meticulous attention to detail, organized, and strong project management skills Ability to work as a part of an agile team; independent and showing flexibility during peak hours What we offer EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland, and the UK – and with teams from all EY service lines, geographies, and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills, and insights that will stay with you throughout your career. Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success, as defined by you : We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

The role involves populating databases with information gathered from various sources and extracting data for analyst teams. You will be responsible for creating and populating templates, tables, figures, and graphics using tools like PowerPoint and Excel. Your tasks will include interpreting data provided by analysts and transforming them into professional presentations and deliverables. Additionally, you will process primary market research data, conduct statistical analysis, and ensure data quality through validation and cleaning processes. You will also be responsible for editing reports, slide decks, and other publications to maintain quality standards and consistency. To qualify for this position, you should have an undergraduate degree with a strong academic background, preferably in Business or Commerce. An advanced degree or relevant experience in sectors like biopharma, healthcare, or market research would be advantageous. Attention to detail, analytical skills, and proficiency with SPSS software are essential requirements. Strong communication skills, both written and verbal, are necessary, along with the ability to work collaboratively and independently. Proficiency in software tools like E-tabs, SQL, and Tableau is a plus, along with a proactive approach to work, critical thinking skills, and the ability to manage time effectively under pressure. The ideal candidate should be self-motivated, open to collaboration, and capable of adapting to new technologies and process improvements. Proficiency in Microsoft Office tools and experience in data analysis and visualization are desirable. While knowledge of the pharmaceutical or medical device industries is beneficial, it is not mandatory. The role requires the ability to handle multiple tasks in a fast-paced environment and excellent communication skills. The position may involve working in rotational shifts and meeting SLAs. If you are someone who thrives in a dynamic work environment, possesses strong analytical skills, and enjoys working with data to create impactful deliverables, this role offers an exciting opportunity to contribute to the success of client projects and drive business transformation.,

The role aims to provide analysis aligned with client business objectives and goals while exceeding client performance targets. As a Data Processing professional, you will need to have at least 2 years of experience working with Q & SPSS (preferred), Dimensions, SPSS syntax, or similar data processing software. This will involve handling data for large, multi-market complex tracker projects and executing tasks such as weighting, stacking, and sig testing while adhering to industry best practices. Your responsibilities will include conducting thorough quality checks and data validation to ensure accuracy. You will collaborate with internal project managers and client services team members to finalize materials like data processing spec forms, offering guidance on tool functionality and solutions. It is essential to develop and maintain data processing workflows and documentation for efficient operations. Proficiency in Microsoft Excel is required, with experience or knowledge of VBA macro writing considered a plus. The role may involve working night shifts on a rotational basis, providing 24/7 operational support and being available on weekends as per the roster. As a client-focused professional, you should possess strong consulting, communication, and collaboration skills. Additionally, being emotionally intelligent, adept at conflict resolution, and thriving in high-pressure, fast-paced environments are crucial. Demonstrating ownership, problem-solving abilities, and effective multitasking and prioritization skills are highly valued in this role. Location: DGS India - Coimbatore - KGISL Tech Park Brand: Merkle Time Type: Full time Contract Type: Permanent,

As an experienced Primary Market Research (PMR) leader, your role will involve leading high-impact global research engagements, mentoring teams, and partnering with Data Science & AI experts to modernize insights generation using traditional qualitative and quantitative research methods alongside AI/ML and Generative AI applications. You will be responsible for executing end-to-end PMR projects across therapy areas and geographies, utilizing both traditional methodologies and AI-enhanced techniques to improve study design, analysis, and storytelling. Your key responsibilities will include applying Generative AI tools to accelerate insight synthesis and automate reporting, guiding the integration of machine learning models for survey optimization, and collaborating closely with clients and internal stakeholders to deliver insights aligned with business strategy. Additionally, you will manage and mentor a team of market researchers, maintain strong vendor relationships, and demonstrate storytelling excellence through data-driven narratives that influence strategic decision-making. To excel in this role, you should have at least 15 years of experience in healthcare/life sciences primary market research, with a proven ability to lead multi-country, multi-method projects. Strong knowledge of qualitative and quantitative methodologies is essential, and exposure to tools such as Qualtrics, SPSS, R, or Python is advantageous. Hands-on experience with AI/GenAI platforms for text summarization, sentiment analysis, and automated reporting is desired, along with a passion for exploring emerging technologies in research workflows. Preferred qualifications include a Master's degree in Life Sciences, Market Research, Business Analytics, or related fields, as well as certification or exposure to AI/ML in market research or marketing analytics. Familiarity with healthcare compliance, pharma regulations, and therapy-specific dynamics will be beneficial for this role. Excellent interpersonal, presentation, and client engagement skills, strong project management abilities, and the capacity to thrive in a fast-paced, deadline-driven environment are also key attributes for success in this position.,

We are seeking a passionate and experienced Biostatistician to teach part-time for our postgraduate psychology programs. The role involves delivering engaging, practice-oriented biostatistics lectures that connect with real-world psychological research and analysis. The lectures will be recorded for our Ed-Tech platform at Vigyan Vihar, Delhi. It a part time, On-Site role. Requirements: Master’s or Ph.D. in Biostatistics, Statistics, Psychology, or a related field Prior teaching or training experience (preferably with psychology students) Strong grasp of statistical software (SPSS, R, Excel, etc.) Excellent communication and classroom facilitation skills Availability for on-site lectures.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Senior, P&C Actuarial, EY GDS Consulting Global Delivery Services is one of EY's greatest global assets – a network of service delivery centers that provide high-quality services at a competitive cost for all EY’s client serving and enablement teams. Every day, we combine our subject matter expertise with our technology and automation skills to develop new solutions that deliver greater value for EY. If you have a passion for enabling world class actuarial services globally to solve the most complex challenges in the financial services industry, come join our dynamic GDS team! The opportunity We are looking for a Senior to join our General Insurance Actuarial Practice delivering solutions to the leading clients in Insurance Sector, working closely with other Staff/Assistants, Consultants/Seniors, Managers, Senior Managers or Client partners in EY’s global network of insurance sector and consulting professionals. Within our talented and dynamic Actuarial team, the members work on multiple client engagement teams that perform actuarial model building and validations, reserving (actuarial liability estimation), due diligence, premium calculation, valuation analysis for IFRS, GAAP, and Statutory calculations and review, capital/risk modeling and other related actuarial projects for General and Health insurance businesses. The team members also receive on-the-job training to acquire practical experience in addressing business/technical issues and in applying industry knowledge and EY policies/procedures on client engagements. The position is designed to enable the member to pursue actuarial exams while developing the basic skills needed to be a successful actuarial consultant, combining both excellent learning and career opportunities. Our growing team of professionals come from a diverse background, all committed to being long term trusted advisors to our clients. Your key responsibilities As a Senior within the Actuarial team your role involves developing and implementing solutions both within the Insurance service line and in collaboration with other services lines . On engagements, you will: Be responsible for providing high quality results and generating effective solutions working along with Senior Consultants, Managers or Senior Managers in delivering the project Provide focused solutions and training to Staff members Be responsible for ensuring all engagement are delivered within time Deliver engagements in line with our values and commitment to quality and ensuring that work is of high standards Establish/manage priorities, communicate the status of activities, and accumulate/report all chargeable hours Within the actuarial practice you will: Actuarial liability estimation for general insurance lines of business which involves data preparation, data loading to tools, analysis of liabilities and presenting results Analyze the historical claims data and identify potential issues and trends and report the findings Perform valuation of reserves through IBNR models using the data supplied for estimation Working knowledge of different loss projection methods and their applications along with the familiarity of different property and casualty lines of business Review data, methodologies, assumptions, results and benchmark against the market Assessment of technical provisions and standard formula/ other capital calculations Large loss analysis, rating factor analysis and CAT benchmarking Perform ad-hoc research and development requests as required Preparations of report/memo sent to stakeholders showing results of the analysis Maintain strong focus in finishing Actuarial exams along with developing a strong subject matter expertise Risk analytics including development of analytical tools, analysis of insurance risk and general support for any risk analytics in the company Knowledge of ARIUS, Alteryx, IGLOO, ResQ or other reserving software are good to have, but not must criteria Stay informed of current business/economic developments relevant to the industry/ geography We are looking for individuals who have a proactive attitude and are seeking the opportunity for personal and professional growth, leveraging and supporting our global network. Skills and attributes for success Skills and attributes for a successful career at EY require a learning mindset and passion to add value to GDS, member firms and client organizations. Bright and enthusiastic individuals who give their all to each assignment they work on will find themselves at home within our energetic GDS actuarial team. To qualify for the role, you must have 3+ years’ experience in the General Insurance industry, either within a consulting firm or an Insurer or an organisation providing Insurance services (such as reserving, capital modelling, pricing, rate filling, CAT modelling, IFRS17, technical provision, solvency II and risk management) Ability to multi-task and flexible work attitude packed with good analytical skills Experience of handling a small team will be an advantage Proficiency in MS-Office Suite, VBA, SAS, R Programming, Python, SQL, SPSS, etc., will be a plus Good exam progress Ideally, you’ll also have Strong academic background with a bachelor’s degree with an emphasis in actuarial science, mathematics, statistics or finance related supplemented ideally with a professional qualification Strong written and verbal communication skills for report writing, industry studies and stakeholder presentations Overseas exposure (US, UK market experience) What We Look For Deep knowledge and experience of the insurance industry and/or consulting. Relevant recent big 4 experience in leading actuarial engagement with recognized insurers will be an advantage. This ideally should be complemented by employment experience within the Insurance sector either at an insurer, intermediary or regulator Up to date knowledge of the regulatory environment impacting insurers and other financial service organizations Experience of supporting teams to high quality timely delivery, actively building relationships and promoting a collaborative culture when working with colleagues EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Required for processing and analyzing data to provide actionable insights into market trends, consumer behavior, and competitive dynamics. This role involves ensuring data accuracy through cleaning and integration. The analyst uses statistical methods and visualization tools to interpret data and create detailed reports and dashboards. They collaborate with cross-functional teams to support strategic decision-making and continuously improve research methodologies. Strong analytical skills, proficiency in statistical software, and the ability to communicate findings effectively are essential for this position. Required to work from office Requirements KEY JOB RESPONSIBILITIES: Perform data checks using Quantum, SPSS and Excel Writing data cleaning scripts Do data manipulation like labeling, stacking, recoding etc Resolving client queries and updating their requirements CORE COMPETENCIES: Have knowledge of SPSS like, renaming, recoding, labelling, Stack and any type of data manipulation required Adapt to working in high pressure environments with strict deadlines and multiple deliverable Communicate and coordinate with client and internal teams Qualifications Education: Bachelor's degree Experience: Minimum 1 year experience in Data Processing Computer Skills: Microsoft Office SPSS Quantum Benefits Free gourmet Tea/ Coffee on the house Both side pick-up and drop cab facility for up to 50 kms from office location Extensive Mediclaim Benefit

Job Description The role will involve help with setting up the scripting function, working with Research and Project Management stakeholders to define the best practice and establish processes for scripting and data processing within the business, as well as managing actual scripting. This will include: Initial set up of the scripting and data processing function, working with a variety of senior stakeholders to understand requirements and suggest improvements. Implementation of new processes and policies, including preparing the best practice manuals and guides for Research and Project Management staff globally. Supporting a transition from an outsourced model to a blended in-house approach. Line management of Scripting Executives, including training, mentoring and involvement in recruitment and selection. Scripting and programming medium complexity online surveys using the Confirmit platform, incorporating logic, custom routing, and question validation to ensure seamless user experience and data accuracy Conducting rigorous testing of surveys before launch, identifying and resolving any programming or logic errors to ensure data integrity and smooth respondent experience Cleansing and validating data in the relevant software (SPSS or similar) and process survey data for tabulation Managing workloads of the team and delivery across projects Liaising with internal clients, advising on best practice, and assisting with problem solving Skills and Experience: More than 5 years of experience in a data processing and scripting role within a market research agency (ideally healthcare but can be other market research sectors) Proficiency in using Confirmit s scripting platform, including authoring, logic implementation, and deployment Solid understanding of scripting languages such as JavaScript, HTML, and CSS for customizing survey functionality and layout Experience working with survey data formats (e.g., XML, CSV), as well as knowledge of relational databases and data structure management. Understanding of quantitative research methodologies, questionnaire structures, and healthcare market research best practices. Demonstrable experience of working with senior and junior team members Problem-solving skills (particularly relating to situations requiring analytical judgement and establishing best practice solutions) Excellent analytical and numerical skills Strong communication skills, particularly in the ability to explain technical points to non-technical people in an international environment. Dont meet every job requirement? Thats okay! Our company is dedicated to building a diverse, inclusive, and authentic workplace. If youre excited about this role, but your experience doesnt perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others.

Job Description The role will involve setting up the scripting function, working with Research and Project Management stakeholders to define the best practice and establish processes for scripting and data processing within the business, as well as managing more junior data processing staff and hands-on scripting. This will include: Initial set up of the scripting function, working with a variety of senior stakeholders to understand requirements and suggest improvements. Implementation of new processes and policies, including preparing the best practice manuals and guides for Research and Project Management staff globally. Supporting a transition from an outsourced model to a blended in-house approach. Line management of 1-2 junior Scripting Executives / Managers, including training, mentoring and involvement in recruitment and selection. Scripting and programming complex online surveys using the Confirmit platform, incorporating advanced logic, custom routing, and question validation to ensure seamless user experience and data accuracy Conducting rigorous testing of surveys before launch, identifying and resolving any programming or logic errors to ensure data integrity and smooth respondent experience Cleansing and validating data in the relevant software (SPSS or similar) and process survey data for tabulation Managing workloads of the team and delivery across projects Liaising with internal clients, advising on best practice, and assisting with problem solving. Skills and Experience: More than 10 years of experience in a scripting role within a market research agency (ideally healthcare but can be other market research sectors) Proficiency in using Confirmit s scripting platform, including authoring, logic implementation, and deployment Solid understanding of scripting languages such as JavaScript, HTML, and CSS for customizing survey functionality and layout Experience working with survey data formats (e.g., XML, CSV), as well as knowledge of relational databases and data structure management. Understanding of quantitative research methodologies, questionnaire structures, and healthcare market research best practices. Demonstrable experience of managing a team Problem-solving skills (particularly relating to situations requiring analytical judgement and establishing best practice solutions) Excellent analytical and numerical skills Strong communication skills, particularly in the ability to explain technical points to non-technical people in an international environment. Dont meet every job requirement? Thats okay! Our company is dedicated to building a diverse, inclusive, and authentic workplace. If youre excited about this role, but your experience doesnt perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others.

Junior Market Research Consultant Permanent employee, Full-time Bangalore Does this sound like you? Do you have firsthand experience in designing and executing quantitative research? Would you consider yourself to have a high affinity for numbers and enjoy working with data in order to draw meaningful insights ? Are you naturally curious , comfortable to suggest idea s and can apply sound critical thinking skills to move towards a solution? Does the idea of working collaboratively in a fast-paced business whilst also having the autonomy to make decision s appeal to you? Sounds like you? Then join our Bangalore team! Why Join Us? We are seeking a Junior Market Research Consultant, referred to internally as an Analyst, to strengthen our project teams. In this position, you will l earn the ropes of how we successfully run our client projects and gain valuable experience in supporting all phases of a market research project. In turn, through exposure to a diverse range of projects and tasks, you will be developed to become a comprehensive and versatile market researcher with growth opportunities in our company. You will be collaborating with a team of experienced, skilled and curious project leads and method experts, each representing a wide background of academic disciplines. Join the team of Factworkers who answer the most critical and strategic research questions for Silicon Valley giants and rising stars. What Youll Bring Minimum of 1 years hands-on experience in a quantitative primary research role (agency or client side preferred) Successful completion of studies (i.e. Masters, PhD) in Business (i.e. Marketing, MBA), Social Sciences (i.e. Psychology) or a related field Experience in working with primary quantitative survey data, i.e. creating questionnaires, collecting primary data, cleaning/validating data and charting/visualizing results Knowledgeable in statistics and quantitative research methods A sound mathematical understanding to analyse complex data Skilled in using data analysis tools and software (SPSS, R etc.) Proficient in the use of Microsoft Office Suite and Google Workspace A proactive mindset and shows initiative, not afraid to ask questions and is naturally curious Ability to seek information, drive own learning path, quickly learn technical and complex processes and then apply these readily Strong communication skills with fluency in English (both spoken and written) What Youll Do Your overarching purpose is to support our team in the necessary phases of all projects. In addition, you will be challenged to individually execute on certain phases, in close collaboration with the project leader. This position will assist in all operational tasks to ensure the smooth and successful execution of our projects. This includes planning and implementing robust quantitative research for ad-hoc and tracking projects. A large focus of this role will be working very closely with the data in order to allow our projects leads to deliver compelling storied to our clients. This involve data analysis, interpretation and visualization, as well as reporting and conceptualizing the results for the client presentations. Benefits We provide a range of benefits to help our team perform at their very best: Flexible hours Hybrid work schedule (minimum of 3 days in-person presence required in our office located at HSR Layout, Bangalore) Ongoing training and development, both internal and external Regular team events Day off on your birthday Health insurance Youll find out more details on the Who we are Numbers are what we do and it s our people who make them count. Fact: Data means nothing without interpretation. You ve got to put numbers to work to make them matter. At Factworks, that s precisely what we do. We re a team of curious minds spread across three offices in Berlin, Germany, Bangalore, India, and Silicon Valley, U.S., all motivated by the drive to solve complex challenges through in-depth research and actionable insights. Each Factworker possesses unique expertise, but our true strength lies in how we unite these individual superpowers through close collaboration and continuous learning. Together, we answer the most critical and strategic research questions for Silicon Valley giants and rising stars, never forgetting to have fun along the way. Factworks is committed to a diverse and inclusive workplace. We promote equal opportunities regardless of gender, nationality, ethnicity, religion or belief, disability, age, sexual orientation and identity.

Senior Specialist, Product Management (Mastercard Research Center) Overview Mastercard Services enables customers across industries and geographies to make smarter decisions and reach better outcomes with a tailored portfolio of solutions beyond the transaction. We harness the power of real-time, anonymized, aggregated transaction data; powerful software platforms; and a wealth of expertise We empower customers to make better data-driven decisions by unlocking a holistic view of consumer behavior beyond their four walls and distilling actionable insights from data We work with financial institutions, retailers, telecommunications organizations, travel companies, and more The Mastercard Services global product team is seeking a Senior Specialist to support the evolution of consumer research in the Business &Market Intelligence business. Role Create effective, impactful, and quality assured storylines and PowerPoint presentations. Synthesize analyses into clear, sound recommendations; Supports in structuring and writing reports and developing client ready presentations Takes responsibility of designing questionnaires Lead and manage the team in designing, developing, and optimizing Power BI reports and dashboards for survey data analysis. Oversee the end-to-end process of data visualization and reporting, ensuring that survey data is effectively transformed into actionable insights for decision-making. Manage external relationships with market research vendors, third party suppliers in compliance with all Mastercard policies and procedures Actively participate in business development support and thought leadership activities and ensure knowledge, know-how and best practices are shared and leveraged internally to continuously improve quality and productivity Support product P&L management; focus on revenue targets, manage and optimize budgets, forecasting, and cost allocation to enable the delivery of key business objectives Advocate for Market Research product lines by creating compelling communications and sales enablement materials for Senior and Executive Management and an ambassador for the product line to Mastercard Navigate across cultures and geographies and leverages strong relationships with key groups across Mastercard to gain support and buy-in for key decisions to ensure success of regional and global product launches All About You Bachelors in Engineering/Statistics/any other related field and Masters in Business Administration. Experience in a top consulting firm or a market research agency, hands-on business analysis, report generation and story boarding. Financial Institution or a Payments Industry experience is a plus Must have experience on PowerBI (mandatory) Experience with Primary market research (preferable) Strong Excel and PowerPoint skills Strong experience in developing and maintaining Power BI dashboards and reports, with a focus on visualizing survey data. Strong project management skills Strong communicator Experience with Product P&L management Presentation skills, ability to communicate complex ideas effectively both verbally and in writing in English Strong collaboration and ability to partner effectively with virtual, fast-paced teams Demonstrated ability to build relationships with senior executives Experience in designing questionnaires and vendor management Comfortable in writing reports Excellent analytical skills and attention to details Comfortable working in a team environment Python/R/SPSS experience is a plus

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: 3+years of experience working with Q & SPSS (preferred), Dimensions, SPSS syntax or similar data processing software. Experience working with data for large, multi-market complex tracker 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 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: 3+years of experience working with Q & SPSS (preferred), Dimensions, SPSS syntax or similar data processing software. Experience working with data for large, multi-market complex tracker 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

Senior Data Science Lead Primary Skills Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Tools(KubeFlow, BentoML), Classification (Decision Trees, SVM), ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/ R Studio Job requirements JD is below: The Agentic AI Lead is a pivotal role responsible for driving the research, development, and deployment of semi-autonomous AI agents to solve complex enterprise challenges. This role involves hands-on experience with LangGraph, leading initiatives to build multi-agent AI systems that operate with greater autonomy, adaptability, and decision-making capabilities. The ideal candidate will have deep expertise in LLM orchestration, knowledge graphs, reinforcement learning (RLHF/RLAIF), and real-world AI applications. As a leader in this space, they will be responsible for designing, scaling, and optimizing agentic AI workflows, ensuring alignment with business objectives while pushing the boundaries of next-gen AI automation. ________________________________________ Key Responsibilities 1. Architecting & Scaling Agentic AI Solutions Design and develop multi-agent AI systems using LangGraph for workflow automation, complex decision-making, and autonomous problem-solving. Build memory-augmented, context-aware AI agents capable of planning, reasoning, and executing tasks across multiple domains. Define and implement scalable architectures for LLM-powered agents that seamlessly integrate with enterprise applications. 2. Hands-On Development & Optimization Develop and optimize agent orchestration workflows using LangGraph, ensuring high performance, modularity, and scalability. Implement knowledge graphs, vector databases (Pinecone, Weaviate, FAISS), and retrieval-augmented generation (RAG) techniques for enhanced agent reasoning. Apply reinforcement learning (RLHF/RLAIF) methodologies to fine-tune AI agents for improved decision-making. 3. Driving AI Innovation & Research Lead cutting-edge AI research in Agentic AI, LangGraph, LLM Orchestration, and Self-improving AI Agents. Stay ahead of advancements in multi-agent systems, AI planning, and goal-directed behavior, applying best practices to enterprise AI solutions. Prototype and experiment with self-learning AI agents, enabling autonomous adaptation based on real-time feedback loops. 4. AI Strategy & Business Impact Translate Agentic AI capabilities into enterprise solutions, driving automation, operational efficiency, and cost savings. Lead Agentic AI proof-of-concept (PoC) projects that demonstrate tangible business impact and scale successful prototypes into production. 5. Mentorship & Capability Building Lead and mentor a team of AI Engineers and Data Scientists, fostering deep technical expertise in LangGraph and multi-agent architectures. Establish best practices for model evaluation, responsible AI, and real-world deployment of autonomous AI agents. ________________________________________

Senior Data Science Lead Primary Skills Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Tools(KubeFlow, BentoML), Classification (Decision Trees, SVM), ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/ R Studio Job requirements JD is below: The Agentic AI Lead is a pivotal role responsible for driving the research, development, and deployment of semi-autonomous AI agents to solve complex enterprise challenges. This role involves hands-on experience with LangGraph, leading initiatives to build multi-agent AI systems that operate with greater autonomy, adaptability, and decision-making capabilities. The ideal candidate will have deep expertise in LLM orchestration, knowledge graphs, reinforcement learning (RLHF/RLAIF), and real-world AI applications. As a leader in this space, they will be responsible for designing, scaling, and optimizing agentic AI workflows, ensuring alignment with business objectives while pushing the boundaries of next-gen AI automation. ________________________________________ Key Responsibilities 1. Architecting & Scaling Agentic AI Solutions Design and develop multi-agent AI systems using LangGraph for workflow automation, complex decision-making, and autonomous problem-solving. Build memory-augmented, context-aware AI agents capable of planning, reasoning, and executing tasks across multiple domains. Define and implement scalable architectures for LLM-powered agents that seamlessly integrate with enterprise applications. 2. Hands-On Development & Optimization Develop and optimize agent orchestration workflows using LangGraph, ensuring high performance, modularity, and scalability. Implement knowledge graphs, vector databases (Pinecone, Weaviate, FAISS), and retrieval-augmented generation (RAG) techniques for enhanced agent reasoning. Apply reinforcement learning (RLHF/RLAIF) methodologies to fine-tune AI agents for improved decision-making. 3. Driving AI Innovation & Research Lead cutting-edge AI research in Agentic AI, LangGraph, LLM Orchestration, and Self-improving AI Agents. Stay ahead of advancements in multi-agent systems, AI planning, and goal-directed behavior, applying best practices to enterprise AI solutions. Prototype and experiment with self-learning AI agents, enabling autonomous adaptation based on real-time feedback loops. 4. AI Strategy & Business Impact Translate Agentic AI capabilities into enterprise solutions, driving automation, operational efficiency, and cost savings. Lead Agentic AI proof-of-concept (PoC) projects that demonstrate tangible business impact and scale successful prototypes into production. 5. Mentorship & Capability Building Lead and mentor a team of AI Engineers and Data Scientists, fostering deep technical expertise in LangGraph and multi-agent architectures. Establish best practices for model evaluation, responsible AI, and real-world deployment of autonomous AI agents. ________________________________________

About The/Nudge The/Nudge is an action institute building resilient livelihoods to alleviate poverty. We work with women, farmers, tribals and youth on rural development, agriculture, skilling and economic inclusion, along with 15+ central and state government partners. Our economic inclusion journey for 25 million Indians, has reached 10 states with $250M of government funding to cover 1.25M people. Our incubator, accelerator and grand challenges have supported 200+ social entrepreneurs including 17 Forbes 30U30, 3 EarthShot Prize winners, 1 Time Magazine cover and more. Set up with support from 90+ eminent philanthropists , 40+ corporates and 15+ foundations including Gates, Mackenzie Scott, Vinod Khosla, Nandan Nilekani, Tata Trusts, Skoll, Meta, LinkedIn, HDFC, Mphasis, KPMG and L'Oreal, we are contributing towards a "poverty-free India, within our lifetime". About the Team We are seeking a highly motivated and experienced Research and Policy Analyst to join our dynamic PMU. The ideal candidate will possess a strong analytical mindset, a deep understanding of India's policy landscape, and a passion for driving social change. You will be at the heart of our efforts to inform and shape evidence-based policy, working directly with the Ministry of Social Justice & Empowerment. Your research and analysis will provide the critical foundation for policy reforms that impact millions of lives. What will you do? ● Policy Analysis & Evaluation: ○ Investigate and critically analyze existing and proposed legislation and policies to determine their impact on society and intended beneficiary groups. ○ Develop frameworks to evaluate the effectiveness and efficiency of ongoing government schemes and initiatives. ● Research & Data Analysis: ○ Conduct comprehensive primary and secondary research on key thematic areas such as poverty alleviation, livelihoods, and skilling. ○ Gather, clean, and analyze quantitative and qualitative data from diverse sources, including national surveys, administrative databases, and field studies. ○ Translate complex data into actionable insights and evidence-based recommendations for policy formulation and refinement. ● Reporting & Documentation: ○ Author high-quality reports, policy briefs, research papers, and summaries that clearly communicate findings to both technical and non-technical audiences. ○ Develop compelling policy proposals that articulate the potential impacts, costs, and benefits of recommended changes. ● Stakeholder Collaboration & Presentation: ○ Collaborate closely with officials of the central ministry and other government bodies to ensure research is aligned with policy priorities. ○ Present research findings, analytical insights, and policy proposals confidently and persuasively to senior government officials, policymakers, and public audiences. Who are we looking for in this role? ● Analytical & Research Skills: ○ Strong command of quantitative and qualitative research methodologies, statistical concepts, and data analysis techniques. ○ Proficiency in Microsoft Excel is mandatory, including advanced functions like pivot tables, lookups, and data modeling. ○ Demonstrated experience with data visualization tools (e.g., Tableau, Power BI) is required (preferred). ○ Hands-on experience with statistical software packages (e.g., SPSS, Stata, R) is highly preferred. ● Communication Skills: ○ Exceptional written communication skills, with the ability to draft clear, concise, and impactful reports and proposals. ○ Excellent oral communication and presentation skills, with the ability to articulate complex ideas to diverse audiences. ● Professional Competencies: ○ Strong critical thinking and problem-solving abilities. ○ High degree of self-motivation and ability to work independently in a fast-paced, dynamic environment. ○ Excellent organizational and project management skills. Qualifications & Experience ● Education: A Master’s Degree or equivalent in Public Policy, Political Science, Public Administration, Statistics, Economics, Sociology, International Relations, Legal Studies, or a related field is required. ● Experience: ○ A minimum of 7 to 12 years of relevant professional experience in policy research, data analysis, or a related field. ○ Prior experience working within or alongside government bodies, particularly in a Project Management Unit (PMU) or advisory capacity, is strongly preferred. ○ Direct experience with central government ministries or flagship national programs will be a significant advantage. ● Domain Knowledge: In-depth knowledge of the policy landscape, key government schemes, and the broader ecosystem related to poverty alleviation, livelihoods, skilling, and social justice in India. We aspire to be an inclusive and diverse organization and encourage qualified individuals irrespective of their religion, caste, gender identity or expression, sexual orientation, ethnicity, age, or any other dimension of identity, to apply.

Project Details: Analyzing the data of the last 3 - 5 years on the advertising effectiveness for an MNC FMCG major to come up with a workshop that would help clients raise the bar of advertising in the future. Job Description: Work closely with the Account Manager on the project to ensure the timely delivery Collate the data of advertising effectiveness studies for the categories of interest in the last 3 years Correlate advertising pre-testing results with in-market effectiveness Comparing the effectiveness of the advertising to come up with learnings that would help clients develop effective advertising in the future Help the Account Manager/ CS executives on other related research projects Skills and expertise required: Sound research, marketing, and advertising fundamentals Strong Excel skills (advanced Excel) and should be able to develop good-quality Power-Point reports Willingness to learn A strong work ethic is a must Duration of the Internship: Tentative 5 months (if required, can be extended as per requirement) Looking for someone who can start the internship from August to December 2025. Benefits: Paid Internship with a stipend of 15k/month. Opportunity to get converted to a full-time employee, based on the internship performance and position availability.

Job Description Company: Tata Digital Private Limited. About Us Tata Digital is a future-ready company that focuses on creating consumer-centric, high-engagement digital products. By creating a holistic presence across various touchpoints, we aim to be the trusted partner of every consumer and delight them by powering a rewarding life. The company's debut offering, Tata Neu is a super-app that provides an integrated rewards experience across various consumer categories like groceries, fashion and electronics, travel and hospitality, health and fitness, entertainment, and financial services on a single platform. Founded in March 2019, Tata Digital Private Limited is a wholly-owned subsidiary of Tata Sons Private Limited. Basic Information Role Title: Data Analyst Function/Sub-Function/Vertical: Data Analytics Work Location: Mumbai Work Experience: 4-6 years About the Team: Analytics team works with different stakeholders which are Category, Marketing, Product, Technology, Customer Experience and Customer Service. The team provide trends, analysis and helps business solve complex problems Purpose of the Role : Identify, analyze, and interpret trends or patterns in complex data sets Create dashboards and interactive visual reports using Power BI This is a critical role spanning across product, category, business, marketing, fiancé et all. You must liaise with the different stakeholders understand their challenges and come up with an analysis which is relevant and can be actioned. Insights and actions taken on them to drive business, category growth or solve critical problems like Uninstall, increasing conversion. Competencies Critical for the role Technical expertise regarding data models, database design development, data mining and segmentation techniques Strong knowledge of and experience with reporting packages (Power BI), databases (SQL etc), programming (Python) Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc) Create customize charts and custom calculations as per requirements Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy Experience in interpreting customer business needs and translate those needs into requirements Strong analytical and prioritization skills Experience in Ecommerce industry is a must Educational Qualifications - BTech or BE Professional Certifications : Any courses on SQL, Python and R Technical Skills and Subject Knowledge: SQL Python Data Structure and Architecture R Modelling (Preferred) Want to know more about us? https://www.tata.com/business/tata-digital/tata-neu https://www.tata.com/newsroom/business/tata-neu https://www.linkedin.com/company/tata-digital/about/ https://www.youtube.com/watch?v=xw-l5jBWWpI

Contract Psychometrist (12–15 weeks) Location: Remote – India Company: Quirk Bank Media (QB Media) Contract Fee: ₹3,00,000 (fixed, all-inclusive) Start Date: Immediate Employment Type: Contract (12–15 weeks) About: QB Media is building a personality quiz platform designed to capture India-specific (and in some cases, region-specific) psychological traits. We’re looking for someone who can help us identify the right traits to measure, design a clear scoring logic, and work with our team to turn quiz responses into actionable insights. Key Responsibilities Review and streamline our draft list into a concise, non-clinical trait set Map quiz items to traits and build an easy-to-implement scoring grid Run internal consistency stats (Cronbach’s α / KR-20) on pilot data; refine if needed Define clear low / medium / high trait thresholds Collaborate with our Data Science and Behavioural teams to integrate logic into our inference engine Deliver a brief spec (CSV + 2-page summary) and participate in final handover What We’re Looking For 2+ years experience designing or validating assessments, surveys, or inventories Proficiency in basic psychometric stats using R, SPSS, or Python Ability to translate psych concepts into clear, actionable insights Strong communication skills; remote-friendly, NDA-compliant Compensation & Contract ₹3,00,000 fixed fee (paid monthly or by milestones) Duration: 12–15 weeks (confirmed during onboarding) Weekly check-ins; resources provided by QB Media NDA and contractor agreement required before kickoff How to Apply Send one PDF to contact@quirkbankmedia.com containing: A concise CV (max 2 pages) A ~300-word note on a quiz or assessment you’ve helped create or refine Your earliest start date

Job Description This is an exciting opportunity for an experienced industry professional with strong analytical and technical skills to join and add value to a dedicated and friendly team. We are looking for a Data Analyst who is driven by data-driven decision-making and insights. As a core member of the Analytics Team, the candidate will take ownership of data analysis projects by working independently with little supervision. The ideal candidate is a highly resourceful and innovative professional with extensive experience in data analysis, statistical modeling, and data visualization. The candidate must have a strong command of data analysis tools like SAS/SPSS, Power BI/Tableau, or R, along with expertise in MS Excel and MS PowerPoint. The role requires optimizing data collection procedures, generating reports, and applying statistical techniques for hypothesis testing and data interpretation. Key Responsibilities Perform data analysis using tools like SAS, SPSS, Power BI, Tableau, or R. Optimize data collection procedures and generate reports on a weekly, monthly, and quarterly basis. Utilize statistical techniques for hypothesis testing to validate data and interpretations. Apply data mining techniques and OLAP methodologies for in-depth insights. Develop dashboards and data visualizations to present findings effectively. Collaborate with cross-functional teams to define, design, and execute data-driven strategies. Ensure the accuracy and integrity of data used for analysis and reporting. Utilize advanced Excel skills to manipulate and analyze large datasets. Prepare technical documentation and presentations for stakeholders. Candidate Profile Qualifications Qualification: MCA / Graduate / Post Graduate in Statistics or MCA or BE/B.Tech in Computer Science & Engineering, Information Technology, or Electronics. A minimum of 2 years' experience in data analysis using SAS/SPSS, Power BI/Tableau, or R. Proficiency in MS Office with expertise in MS Excel & MS PowerPoint. Strong analytical skills with attention to detail. Experience in data mining and OLAP methodologies. Ability to generate insights and reports based on data trends. Excellent communication and presentation skills. Desired Qualifications Experience in predictive analytics and machine learning techniques. Knowledge of SQL and database management. Familiarity with Python for data analysis. Experience in automating reporting processes. (ref:hirist.tech)

The role involves providing academic leadership in the field of Economics through high-quality teaching, research, and service. You will contribute to curriculum development, mentor students and junior faculty, and engage in impactful research to support institutional and societal development. Key Responsibilities: Teaching & Learning: - Deliver undergraduate and postgraduate courses in Economics. - Design and update curriculum in alignment with academic and industry trends. - Use innovative teaching methodologies and tools to ensure effective learning. - Supervise dissertations, projects, and theses at undergraduate, postgraduate, and doctoral levels. - Conduct lectures, tutorials, seminars, and workshops. Research & Publication: - Undertake original research in Economics and publish in peer-reviewed journals. - Present research at national and international conferences. - Lead research projects and secure external funding. - Collaborate with industry and academic institutions for joint research. Academic Leadership: - Mentor and support the professional development of junior faculty. - Participate in faculty recruitment, training, and evaluation. - Contribute to strategic planning and departmental development. - Guide and lead academic committees and task forces. Student Mentorship & Development: - Provide academic guidance and mentorship to students. - Support students in career planning and higher education pursuits. - Facilitate student-led research and economics-based projects or clubs. Institutional Contribution: - Participate in accreditation, curriculum design, and policy formulation. - Engage in outreach, consultancy, and community-based economics programs. - Represent the department/university in academic and professional forums. Educational Qualifications: - Ph.D. in Economics from a recognized university. - M.A./M.Sc. in Economics with high academic standing. - UGC-NET qualification (if applicable under national norms). Experience: - Minimum 10 years of teaching/research experience in a reputed academic institution. - Proven record of published research in reputed national/international journals. - Experience in supervising Ph.D. scholars and guiding research teams. Functional Competencies: - Expertise in microeconomics, macroeconomics, econometrics, or development economics. - Strong research skills and data analysis proficiency. - Familiarity with statistical tools like STATA, R, SPSS, or EViews. - Ability to design interdisciplinary and application-oriented curriculum. Behavioural Competencies: - Academic integrity and professional ethics. - Leadership and team management abilities. - Strong communication and interpersonal skills. - Student-centric approach and mentoring capability. - Adaptability and openness to innovation in pedagogy.,

Manager-Research, Monitoring and Evaluation To provide methodological, research and evidence-based support to NGO Research and Program evaluation design, implementation, analysis, reporting, and dissemination. Required Candidate profile Exp.in quantitative research in development sector. Prefer Social research, monitoring evaluation, quantitative &quantitative by using statistical tools(SPSS, STATA,R, NVivo, Survey CTO etc)is a must.

The deeds of today were the dreams of yesterday, the dreams of today will be the deeds of tomorrow. Post : Statistical Data Analyst Locations : Delhi / Lucknow Relevant Skills : Data Analysis, Statistical Analysis, Data Management Conduct data analysis using statistical tools & techniques (SPSS / STATA) Write SPSS programs / syntax and generate Field-Check Tables Ensure submission of error-free data within the stipulated timeline Eligibility : PG in Statistics / Bio-Statistics / Demography / Economics / Public Health / Epidemiology Candidates who hold a Ph.D. in the above mentioned disciplines will get a higher start Excellent knowledge of SPSS / STATA is necessary; To be adjudged through a test. Freshers and experienced (0-1 years), both are welcome to apply P.G. - Rs. 4.08 lakh per annum Ph. D. - Rs. 6 Lakh per annum Appointment : This is a full-time regular position. Initially, the individuals will be appointed on a probationary basis for a period of 1 year. After successful completion of the probation period, the candidate would be absorbed in the regular cadre of the organization with benefits, such as PF, Health Insurance, Medical Allowance, etc. How to Apply Interested candidates may please mail their detailed CV along with a recent photograph by 10 th August (Sunday), 2025 to hrd@amsindia.org mentioning Statistical Data Analyst in the subject line.

Job Description The role will involve setting up the scripting function, working with Research and Project Management stakeholders to define the best practice and establish processes for scripting and data processing within the business, as well as managing more junior data processing staff and hands-on scripting. This will include: Initial set up of the scripting function, working with a variety of senior stakeholders to understand requirements and suggest improvements. Implementation of new processes and policies, including preparing “the best practice” manuals and guides for Research and Project Management staff globally. Supporting a transition from an outsourced model to a blended in-house approach. Line management of 1-2 junior Scripting Executives / Managers, including training, mentoring and involvement in recruitment and selection. Scripting and programming complex online surveys using the Confirmit platform, incorporating advanced logic, custom routing, and question validation to ensure seamless user experience and data accuracy Conducting rigorous testing of surveys before launch, identifying and resolving any programming or logic errors to ensure data integrity and smooth respondent experience Cleansing and validating data in the relevant software (SPSS or similar) and process survey data for tabulation Managing workloads of the team and delivery across projects Liaising with internal clients, advising on best practice, and assisting with problem solving Skills and Experience: More than 10 years of experience in a scripting role within a market research agency (ideally healthcare but can be other market research sectors) Proficiency in using Confirmit’s scripting platform, including authoring, logic implementation, and deployment Solid understanding of scripting languages such as JavaScript, HTML, and CSS for customizing survey functionality and layout Experience working with survey data formats (e.g., XML, CSV), as well as knowledge of relational databases and data structure management. Understanding of quantitative research methodologies, questionnaire structures, and healthcare market research best practices. Demonstrable experience of managing a team Problem-solving skills (particularly relating to situations requiring analytical judgement and establishing best practice solutions) Excellent analytical and numerical skills Strong communication skills, particularly in the ability to explain technical points to non-technical people in an international environment. Don't meet every job requirement? That's okay! Our company is dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role, but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others.