3397 Data Scientist Jobs - Page 24

Job Title Senior Data Scientist I Job Description About Dotdash Meredith: Dotdash Meredith is the largest digital and print publisher in America. From mobile to magazines, nearly 200 million people trust us to help them make decisions, take action, and find inspiration. Dotdash Merediths over 40 iconic brands include PEOPLE, Better Homes & Gardens, Verywell, FOOD & WINE, The Spruce, Allrecipes, Byrdie, REAL SIMPLE, Investopedia, and Southern Living. Dotdash Meredith is based in New York City and is an operating business of IAC (NASDAQ: IAC) (www.dotdashmeredith.com). Meredith India Services Pvt. Ltd. (a Dotdash Meredith Company): Meredith India Services Pvt. Ltd. is a subsidiary of Dotdash Meredith (USA), the parent company of over 40 iconic brands like PEOPLE, Better Homes & Gardens, Verywell, FOOD & WINE, The Spruce, Allrecipes, Byrdie, REAL SIMPLE, Investopedia, Southern Living and many more. We provide offshore support to Dotdash Meredith within Research & Analytics, Technology, Finance, Operations, Consumer Marketing & Revenue, and Shared Services domains. Operating out of Bengaluru, Dotdash Meredith India employs a diverse and vibrant workforce with an engaging workspace. We are energetic, strong & dynamic and form a solid foundation that celebrates our work culture. We re looking for bright, engaged, creative and fun people to join our inspiring team. Our Core Values: Champion Accountability Respect Expect Integrity Act Now, Not Later Make it Matter Job Summary: Collaborate with the business team to understand problems, objectives, and desired outcomes. Build ML/Statistical solutions to achieve the outcomes. Work closely with various teams in Bangalore and the US. Primary responsibilities : Work with cross-functional teams to assess data science use cases & solutions Lead and execute end-to-end data science projects Collaborate with stakeholders to ensure alignment of data solutions with business goals Build custom data models with an initial focus on content classification Utilize advanced machine learning techniques to improve model accuracy and performance. Build necessary visualizations to interpret data models by business teams Work closely with the engineering team to integrate models into production systems. Monitor model performance in production and make improvements as necessary. Stay up-to-date with the latest developments in machine learning and AI. Review relevant research literature and apply applicable methodologies or insights to address the problem effectively. Mentor junior data scientists Mandatory Skills: Master s degree (or equivalent experience) in Data Science, Mathematics, Statistics, or related field with 3+ years of experience in ML/Data Science/Predictive-Analytics Strong programming skills in Python and experience with standard data science tools and libraries (Pandas, NumPy, Scipy, NLTK, Spark, Docker, TensorFlow, PyTorch, sci-kit-learn, etc.). Experience or understanding of deploying machine learning models in production on at least one cloud platform (GCP, AWS, etc.). Hands-on experience with LLMs API (OpenAI, Hugging Face) and ability to craft effective prompts to guide LLMs towards desired outputs. A creative knack for solving hard problems in statistics, machine learning, and optimization. Strong interpersonal and communication skills and adept at working with multiple stakeholders Writing clear and concise technical reports Good to Have: Experience in the Media domain Familiarity with vector databases like Milvus E-commerce or taxonomy classification experience What will you learn in this job: Building ML models using industry-standard frameworks Solving Data Science problems for the media industry Use of Gen AI in Media Shift Timings : 1 p.m. to 10 p.m. IST Work Location : Eco World, Bengaluru It is the policy of Dotdash Meredith to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, the Company will provide reasonable accommodations for qualified individuals with disabilities. #INDIA#

Manager, Data Scientist The Opportunity Based in Hyderabad, join a global healthcare biopharma company and be part of a 130- year legacy of success backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare. Be part of an organisation driven by digital technology and data-backed approaches that support a diversified portfolio of prescription medicines, vaccines, and animal health products. Drive innovation and execution excellence. Be a part of a team with passion for using data, analytics, and insights to drive decision-making, and which creates custom software, allowing us to tackle some of the worlds greatest health threats. Our Technology Centers focus on creating a space where teams can come together to deliver business solutions that save and improve lives. An integral part of our company s IT operating model, Tech Centers are globally distributed locations where each IT division has employees to enable our digital transformation journey and drive business outcomes. These locations, in addition to the other sites, are essential to supporting our business and strategy. A focused group of leaders in each Tech Center helps to ensure we can manage and improve each location, from investing in growth, success, and well-being of our people, to making sure colleagues from each IT division feel a sense of belonging to managing critical emergencies. And together, we must leverage the strength of our team to collaborate globally to optimize connections and share best practices across the Tech Centers. Role Overview We are seeking a Senior Data Scientist to join our Enterprise IT Advanced Analytics team in our company. This role offers an exciting opportunity to work on initiatives that support our Finance, Procurement, Human Resources, and related business partners. If you have a strong background in machine learning, data science, and optionally large language models, and are passionate about leveraging technology to drive business success, we would love to hear from you. What will you do in this role Understand the needs of the business and translate those needs into technical/DS/ML language. Assess the applicability and develop machine learning and data science solutions to given problems with a focus on AI/ML methods, including large language models. Leverage software engineering methods, including coding, testing, and documentation. Apply data engineering and data modeling skills as needed to deliver the AI/ML solutions. Use visual analytics techniques during the data and business exploration and model building, and, if needed, as a part of the client-facing solution. Define, document, and execute small projects or sub-projects, managing risks and stakeholder involvement. Manage junior staff as a part of the delivery. Within a project delivery, manage stakeholder relationships, including problem resolution and feedback collection. Collaborate cross-functionally to deliver more complex IT or business solutions What should you have 3+ years experience as a Data Scientist Required Advanced knowledge of statistical modelling and machine learning, in particular regression, classification and forecasting models Proficiency in R and/or Python, git Experience in software development and data engineering with a focus on ML solution build and deployment Ability to apply data engineering and data modelling on a level supporting DS delivery Ability to apply visual analytics techniques and tools on a level supporting DS delivery Experience in project management, including risk management and stakeholder management Working proficiency in English language Preferred Knowledge of large language models (prompt engineering, RAG, agents...), not limited to GPT Knowledge of mathematical optimization techniques Advanced MLOps skills DS/AI/ML solution build, deployment, monitoring Experience in one or multiple of the supported business functions and types of data (structured and unstructured) existing across those functions Knowledge of cloud services, in particular AWS stack Knowledge of data science platforms: Dataiku, Databricks Experience in a similar role in a global, research-oriented pharmaceutical company Proven track record of implementing machine learning and data science solutions Experience in managing stakeholder relationships Demonstrated experience in software development and data engineering Proven experience in project management Our technology teams operate as business partners, proposing ideas and innovative solutions that enable new organizational capabilities. We collaborate internationally to deliver services and solutions that help everyone be more productive and enable innovation. Who we are What we look for #HYDIT2025 Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Employee Status: Regular Relocation: VISA Sponsorship: Travel Requirements: Flexible Work Arrangements: Hybrid Shift: Valid Driving License: Hazardous Material(s): Required Skills: Business, Business Intelligence (BI), Computer Science, Data Analysis, Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Software Development, Stakeholder Relationship Management, Waterfall Model Preferred Skills: Job Posting End Date: 07/31/2025 *A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.

Job Description Job Description Our NielsenIQ teams empower our clients to make bold decisions and transform their businesses in trusted data, solutions, and insights designed to drive innovation and growth. The NielsenIQ North America Data Science team is passionate about solving complex client challenges and providing data-driven, actionable, timely, and innovative solutions. This Sr. Data Scientist position was created to support our US Data Science initiatives. This position requires someone who is passionate about learning, multi sourced data, data quality, statistical measurement, automation, efficiency, and consumer behavior. Responsibilities Lead detailed analysis Simultaneously balance multiple projects Represent Data Science in interactions with other functions Support end to end implementation of solutions Ability to evaluate current methodologies quickly Document and present findings and recommendations Detect, troubleshoot, and resolve system anomalies Provide explanation to teams in a format that meets their level of understanding Continually develop skill set Experience Bachelor’s or Master’s Degree with a quantitative discipline Skills 3-5 Years of professional experience in a quantitative field Curiosity to learn and continually upgrade skills Disposition to understand processes and methodologies Quantitative aptitude with proven data analysis and problem solving skills Proficiency with Python or R, and SQL Experience with working on large amounts of data Strong verbal, presentation, and written skills Strong planning and organizational skills Ability to work independently as well as in a team environment About NielsenIQ NielsenIQ is a global measurement and data analytics company that provides the most complete and trusted view available of consumers and markets worldwide. We provide consumer packaged goods manufacturers/fast-moving consumer goods and retailers with accurate, actionable information and insights and a complete picture of the complex and changing marketplace that companies need to innovate and grow. Our approach marries proprietary NielsenIQ data with other data sources to help clients around the world understand what’s happening now, what’s happening next, and how to best act on this knowledge. We like to be in the middle of the action. That’s why you can find us at work in over 90 countries, covering more than 90% of the world’s population. For more information, visit www.niq.com. NielsenIQ is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion

Data Scientist Experience Level : Senior Position Overview: Senior Data Scientist to join our team to solve some of the hard problems for our customers. Our client is on a mission to use data to the best in building products that they serve to their customers. We are looking for someone who has expertise in using ML/AI algorithms to improve our product in identifying customer pain points and corresponding solutions recommendation. The ideal candidate is expected to show strong business acumen and understand business problems, develop hypotheses and test the results to influence solution design. Have experience in understanding customer emotions and sentiments which will help you to apply and shape solutions. Should be hands on with various tools for data processing, analysis and visualization, programming languages and frameworks to derive meaningful insights. (Examples: Python, Spark, R, TensorFlow, PyTorch, AWS Kinesis, Redshift,etc). Roles & Responsibilities: Develop Code Discuss with C-level leadership, Engineers, Product Managers to formulate hypotheses, solutions and desired outcomes. Act as Subject Matter Expert on ML, Data and AI statistical models and how they apply to business problems. You will help to implement models in Machine Learning, Optimization, Neural Networks, Artificial Intelligence (Natural Language Processing), and other quantitative approaches. Familiarity with Data Engineering techniques to gather, prepare, cleanse and transform data for analysis and AI automation, including data pipelines. Familiarity with getting data from social media - twitter, instagram, reddit, facebook, etc. Create prototypes, minimally viable products Deliver meaningful insights and predictions Demonstrate business value Mentor and coach others in the team Must Have: A Bachelor/Master/PhD degree in Computer Science Engineering/Data Science/ Operations Research/Statistics/or a related technical degree. Overall 8+ years of working experience 2+ years of hands-on working experience as Data Scientist with deep understanding of Machine Learning and AI algorithms- Linear Regression, Logic Regression, Decision Trees, K-Nearest Neighbors, Neural Networks, Random Forests, NLP/NLU, etc 1+ years of experience with different frameworks such as Tensor flow, PyTorch, Keros, SparkML. 2+ years of hands-on coding experience with languages such as Python, R, Scala, Go, etc. Good experience with source control systems such as git Good to Have: Experience in microservices with container technologies like Docker/Kubernetes Working experience with deploying and running services in Kubernetes Experience with the AWS services (Examples: SageMaker, Comprehend, Lex, Rekognition, Transcribe, EKS, Lambda, S3, etc) Experience with troubleshooting production systems. Good understanding and use of CICD systems such as Jenkins, Gitlab, etc. Location : Remote About Nomiso: Nomiso is a product and services engineering company. We are a team of Software Engineers, Architects, Managers, and Cloud Experts with expertise in Technology and Delivery Management. Our mission is to Empower and Enhance the lives of our customers, through efficient solutions for their complex business problems. At Nomiso we encourage entrepreneurial spirit - to learn, grow and improve. A great workplace, thrives on ideas and opportunities. That is a part of our DNA. We re in pursuit of colleagues who share similar passions, are nimble and thrive when challenged. We offer a positive, stimulating and fun environment with opportunities to grow, a fast-paced approach to innovation, and a place where your views are valued and encouraged. We invite you to push your boundaries and join us in fulfilling your career aspirations!

Newton School of Technology is on a mission to transform technology education and bridge the employability gap. As India s first impact university, we are committed to revolutionizing learning, empowering students, and shaping the future of the tech industry. Backed by renowned professionals and industry leaders, we aim to solve the employability challenge and create a lasting impact on society. We are currently looking for a Senior Data Scientist+Instructor to join our Computer Science Department. This is a full-time academic role focused on data mining, analytics, and teaching/mentoring students in core data science and engineering topics. Key Responsibilities: Develop and deliver comprehensive and engaging lectures for the undergraduate "Data Mining", Big Data , and Data Analytics courses, covering the full syllabus from foundational concepts to advanced techniques. Instruct students on the complete data lifecycle, including data preprocessing, cleaning, transformation, and feature engineering. Teach the theory, implementation, and evaluation of a wide range of algorithms for Classification, Association rules mining, Clustering, and Anomaly Detection. Design and facilitate practical lab sessions and assignments that provide students with hands-on experience using modern data tools and software. Develop and grade assessments, including assignments, projects, and examinations, that effectively measure the Course Learning Objectives (CLOs). Mentor and guide students on projects, encouraging them to work with real-world or benchmark datasets (e.g., from Kaggle). Stay current with the latest advancements, research, and industry trends in data engineering and machine learning to ensure the curriculum remains relevant and cutting-edge. Contribute to the academic and research environment of the department and the university. Required Qualifications: A Ph.D. (or a Masters degree with significant, relevant industry experience) in Computer Science, Data Science, Artificial Intelligence, or a closely related field. Demonstrable 3-10 years of expertise in the core concepts of data engineering and machine learning as outlined in the syllabus. Strong practical proficiency in Python and its data science ecosystem, specifically Scikit-learn, Pandas, NumPy, and visualization libraries (e.g., Matplotlib, Seaborn). Proven experience in teaching, preferably at the undergraduate level, with an ability to make complex topics accessible and engaging. Excellent communication and interpersonal skills. Preferred Qualifications: A strong record of academic publications in reputable data mining, machine learning, or AI conferences/journals. Prior industry experience as a Data Scientist, Big Data Engineer, Machine Learning Engineer, or in a similar role. Experience with big data technologies (e.g., Spark, Hadoop) and/or deep learning frameworks (e.g., TensorFlow, PyTorch). Experience in mentoring student teams for data science competitions or hackathons. Perks & Benefits: Competitive salary packages aligned with industry standards. Access to state-of-the-art labs and classroom facilities. To know more about us, feel free to explore our website: Newton School of Technology. We look forward to the possibility of having you join our academic team and help shape the future of tech education! Newton School of Technology is on a mission to transform technology education and bridge the employability gap. As India s first impact university, ...

Role : Data Scientist II About Media.net : Media.net is a leading, global ad tech company that focuses on creating the most transparent and efficient path for advertiser budgets to become publisher revenue. Our proprietary contextual technology is at the forefront of enhancing Programmatic buying, the latest industry-standard in ad buying for digital platforms. The Media.net platform powers major global publishers and ad-tech businesses at scale across ad formats like display, video, mobile, native, as well as search. Media.net’s U.S. HQ is based in New York, and the Global HQ is in Dubai. With office locations and consultant partners across the world, Media.net takes pride in the value-add it offers to its 50+ demand and 21K+ publisher partners, in terms of both products and services. Data Science is at the heart of Media.net. The team uses advanced statistical and machine learning and deep learning models, large scale distributed computing along with tools from mathematics, economics, auction theory to build solutions that enable us to match users with relevant ads in the most optimal way thereby maximizing revenue for our customers and for Media.net. Some of the challenges the team deals with: How do you use information retrieval, machine learning models to estimate click through rate and revenue given the information regarding the position of the slot, user device, location and content of the page. How do you scale the same for thousands of domains, millions of urls? How do you match ads to page views considering contextual information? How do you design learning mechanisms to continuously learn from user feedback in the form of clicks and conversions? How do you deal with the extremely sparse data? What do you do for new ads and new pages? How do we design better explore-exploit frameworks? How do you design learning algorithms that are fast and scalable? How do you combine contextual targeting with behavioral user-based targeting? How do you establish a unique user identity based on multiple noisy signals so that behavioral targeting is accurate? Can you use NLP to find more genetic trends based on the content of the page and as? What is in it for you? Understand business requirements, analyze and extract relevant information from large amounts of historical data. Use your knowledge of Information retrieval, NLP, Machine Learning (including Deep Learning) to build prototype solutions keeping scale, speed and accuracy in mind. Work with engineering teams to implement the prototype. Work with engineers to design appropriate model performance metrics and create reports to track the same. Work with the engineering teams to identify areas of improvement, jointly develop research agenda and execute on the same using cutting edge algorithms and tools. You will need to understand a broad range of ML algorithms and appreciation on how to apply them to complex practical problems. You will also need to have enough theoretical background and a good grasp of algorithms to be able to critically evaluate existing ML algorithms and be creative when there is a need to go beyond textbook solutions. Who should apply for this role ? PhD/Research Degree or BS/MS in Computer Science, Statistics, Artificial Intelligence, Machine learning, Operations Research or related field. 2- 4 years of experience in building Machine Learning/AI/Information Retrieval models Extensive knowledge and practical experience in machine learning, data mining, artificial intelligence, statistics. Understanding of supervised and unsupervised algorithms including but not limited to linear models, decision trees, random forests, gradient boosting machines etc. Excellent analytical and problem-solving abilities. Good knowledge of scientific programming in Python. Experience with Apache Spark is desired. Excellent verbal & written communication skills Bonus Points: Publications or presentation in recognized Machine Learning and Data Mining journals/conferences such as ICML Knowledge in several of the following: Math/math modeling, decision theory, fuzzy logic, Bayesian techniques, optimization techniques, statistical analysis of data, information retrieval, natural language processing, large scale data processing and data mining Ability deal with ambiguity & break them down into research problems Strong theoretical and research acumen

Techversant is seeking experienced Data Scientist Engineers who will be responsible for developing and driving new business opportunities internationally. The incumbent will be responsible for discovering sales opportunities and creating qualified leads. Job Description Key Responsibilities Data mining or extracting usable data from valuable data sources Using machine learning tools to select features, create and optimize classifiers Carrying out the preprocessing of structured and unstructured data Enhancing data collection procedures to include all relevant information for developing analytic systems Processing, cleansing, and validating the integrity of data to be used for analysis Analyzing large amounts of information to find patterns and solutions Developing prediction systems and machine learning algorithms Presenting results in a clear manner Propose solutions and strategies to tackle business challenges Collaborate with Business and IT teams Required Skills Programming Skills knowledge of statistical programming languages like R, Python, and database query languages like SQL, Hive, Pig is desirable. Familiarity with Scala, Java, or C++ is an added advantage. Statistics Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc. Proficiency in statistics is essential for data-driven companies. Machine Learning good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests. Strong Math Skills (Multivariable Calculus and Linear Algebra) understanding the fundamentals of Multivariable Calculus and Linear Algebra is important as they form the basis of a lot of predictive performance or algorithm optimization techniques. Data Wrangling proficiency in handling imperfections in data is an important aspect of a data scientist job description. Experience with Data Visualization Tools like matplotlib, ggplot, d3.js., Tableau that help to visually encode data Excellent Communication Skills it is incredibly important to describe findings to a technical and non-technical audience. Strong Software Engineering Background Hands-on experience with data science tools Problem-solving aptitude Analytical mind and great business sense Degree in Computer Science, Engineering or relevant field is preferred Proven Experience as Data Analyst or Data Scientist Excellent career growth opportunities and exposure to multiple technologies. Fixed weekday day schedule, meaning, you ll have your weekends off! Unique leave benefits and encashment options based on performance. Long term growth opportunities. Fun family environment surrounded by experienced developers. Various internal employee rewards programs based on Performance. Opportunities for various other Bonus programs for training hours taken, certifications, special value to business through idea and innovation. Work life Balance flexible work timings, early out Fridays, various social and cultural activities etc.

Who We Are:Netcore Cloud is a MarTech platform helping businesses design, execute, and optimize campaigns across multiple channels. With a strong focus on leveraging data, machine learning, and AI, we empower our clients to make smarter marketing decisions and deliver exceptional customer experiences. Our team is passionate about innovation and collaboration, and we are looking for a talented Senior Data Scientist to join our team and work on impactful, high-scale projects.Role Summary:As a Senior Data Scientist, you ll work on developing, deploying, and optimizing advanced machine learning solutions across a range of problem statements such as personalization, customer segmentation, predictive modeling, and NLP. This is a high-impact role that will allow you to collaborate across cross-functional teams and contribute directly to our product innovation roadmap.What Youll Do:Model Development and Innovation: Design and implement ML models for problems including recommendation engines, user segmentation, conversion prediction, and NLP-based automation Stay on top of the latest research in AI/ML and evaluate new approaches (e.g., LLMs, generative AI) for practical application. Optimise model performance, scalability, and interpretability for production systems.MLOps & Deployment Contribute to the deployment of models into production environments using MLOps best practices. Leverage platforms such as AWS SageMaker or Google Vertex AI for training, tuning, and scaling models. Data & Experimentation Work with large-scale, real-time datasets to derive actionable insights and build data pipelines for ML training and evaluation. Design and run experiments (A/B testing, uplift modeling, etc.) to validate hypotheses and improve product KPIs.Technology and Tools: Work with large-scale datasets, ensuring data quality and scalability of solutions. Leverage cloud platforms like AWS, GCP for model training and deployment. Utilize tools and libraries such as Python, TensorFlow, PyTorch, Scikit-learn, and Spark for development. With so much innovation happening around Gen AI and LLMs, we prefer folks who have already exposed themselves to this exciting opportunity via AWS Bedrock or Google Vertex.Cross-functional Collaboration Partner with product, engineering, and marketing teams to understand business requirements and translate them into data science solutions.Who You Are:Education: Bachelors from Tier 1 premier institute in relevant field, or; Master s or PhD in Computer Science, Data Science, Mathematics, or a related field.Experience: 4 6 years of hands-on experience in machine learning or data science roles. Proven expertise in machine learning, deep learning, NLP, and recommendation systems. Hands-on experience deploying ML models in production at scale. Experience in a product-focused or customer-facing domain such as Martech, Adtech, or B2B SaaS is a plus.Technical Skills: Proficiency in Python, SQL, and ML frameworks like TensorFlow or PyTorch. Strong understanding of statistical methods, predictive modeling, and algorithm design. Familiarity with cloud-based solutions (AWS Sagemaker, GCP AI Platform, or similar).Soft Skills: Strong analytical and problem-solving mindset. Excellent communication skills to articulate data-driven insights. A passion for innovation and staying up-to-date with the latest trends in AI/ML.Why Join Us: Opportunity to work on cutting-edge AI/ML projects impacting millions of users. Be part of a collaborative, innovation-driven team in a fast-growing Martech company. Competitive compensation and growth opportunities in a fast-paced environment.We d love to hear how your background can contribute to building the next generation of intelligent marketing solutions. Apply now or reach out for a conversation. :)

Responsibilities Anchor ML development track in a client project Data collection, profiling, EDA & data preparation AI Model development, experimentation, tuning & validation Present findings to business users & project management teams Propose ML based solution approaches & estimates for new use cases Contribute to AI based modules in Infosys solutions development Explore new advances in AI continuously and execute PoCs Mentoring Guide junior team members & evangelize AI in organization Technical skills Programming: Python, R, SQL ML algorithms: Statistical ML algorithms Deep Neural Network architectures Model ensembling Generative AI models ML for Responsible AI AI domains - NLP, speech, computer vision, structured data Learning patterns – supervised, unsupervised, reinforcement learning Tools for data analysis, auto ML, model deployment & scaling, model fine tuning Knowledge of different Model fine tuning approaches for Large models Knowledge of datasets, pre-built models available in open community and 3rd party providers Knowledge of software development & architectures Knowledge of hyperscalers & their AI capabilities – Azure, AWS, GCP Knowledge of Model Quantization and Pruning Past experience playing a Data Scientist role Soft Skills Good verbal & written communication skills – articulate value of AI to business, project managers & other team members Ability to break complex problem into smaller problems and create hypothesis Innovation and experimentation

Experience-5+years Notice Period-30days or Early Joiners Must have Skills-LLM, Advance RAG, NLP, transformer model, LangChain Please send resume to umaparvathyC@hexaware.com Job Description: Primary Skills Good understanding of GenAI LLM models (ChatGPT, LLAMA 2, etc.), Vector databases, LangChain, and LlamaIndex. Hands-on experience with Deep Learning architecture, NLP, and OCR. Expertise in deep learning frameworks such as TensorFlow, PyTorch, and Keras. Experience with Generative AI models like GANs, VAEs, and transformers. Knowledge of Agentic AI concepts and applications. Proficiency in data preprocessing, feature engineering, and model evaluation. Experience with cloud platforms (AWS, Azure, Google Cloud) for deploying AI models. Python Fast API experience, SDA based implementations for all the APIs. Good understanding of Prompt Engineering Deep Learning Frameworks: TensorFlow, PyTorch, Keras Generative AI Models: GANs, VAEs, Transformers Agentic AI Tools: OpenAI Gym, Unity ML-Agents Natural Language Processing Libraries: NLTK, SpaCy, Hugging Face Transformers Computer Vision Libraries: OpenCV, TensorFlow, PyTorch Secondary Skills Expertise in building, deploying, and fine-tuning natural language understanding, questioning, and semantic reasoning systems. Experience in improving and fine-tuning model performance and implementing new technologies. Data pipelines, Data Analytics

vConstruct , a Pune based Construction Technology company seeks a Senior Data Scientist for their Data Science and Analytics team which is a tight-knit group of Data Scientists and AI Engineers along with Data Analysists and Data Engineers that support all data aspects of DPR business. This team drives up with passion of Transforming this Construction Industry by the use of cutting edge technology enabled with strong AI/ ML Solutions. Here, each and every data point starting from Pre-Construction to Post-Construction process are touch-based to leverage this data for getting predictable outcomes and automating processes for better efficiency. This team helps on various domains of construction such as Scheduling, Planning, Supply Chain, Safety, Quality Control, Site Management, Financials, & Virtual Design Construction in every phase of projects. Gain the opportunity for working over Computer Vision, Predictive, Gen AI & LLM related use cases with variety of tech stack included for implementation. Majorly, MS Azure AI Services, Open AI, CV Libraries and ML for predictive outcomes with Stats as base. Be a part of this vision of Transforming Construction Industry by Use of Technology and play vital role with talented team within vConstruct.If you're interested in contributing to construction technology within the AI/ML space, gaining exposure to the latest technologies, and working directly with end customers, please apply via the link. Location: Pune: Magarpatta or Baner Key Responsibilities: Think strategically & collaborate with cross-functional teams to identify business use cases and solutionize with scalable technical solutions. Analyze construction project data and develop predictive models using traditional data science methods and Generative AI. Apply machine learning algorithms to improve key processes such as project execution, safety, and risk assessment. Design, Lead & Own scalable end-to-end development of predictive, ML models, from hypothesis generation to deployment and monitoring. Build, validate, and optimize machine learning and statistical models using best-in-class techniques. & QC models developed by Jr. Data Scientists and ML Engg. Work closely with Engineering & business team to understand the data, business terms, processes to create, suggest and implement solutions accordingly. Stay current with advancements in data science and machine learning to help leveraging Companys data. Use statistical techniques to detect anomalies and optimize operational workflows, ensuring projects are delivered on time and within budget Collaborate with product managers and business leaders to drive the implementation of data-driven decisions. Plus to have ability of visualizing insights using BI tools. Qualification: Bachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. 5-8 years of professional experience with atleast 3 years of experience in data science, machine learning, and analytics, with a proven track recordof delivering impactful data-driven solutions. Experience working in dynamic, fast-paced environments, with the ability to manage multiple projects simultaneously as well as should be able to do production or work on project personally as required. Proven Experience, Strong business acumen and ability to translate technical insights into actionable business strategies & communicate to stakeholders in business language. Experience working with construction-related data or similar industries (e.g., engineering, manufacturing) is a plus. Technical Skills: Expertise in programming languages such as Python, R, or Scala. Proficiency in machine learning, AI & Statistics frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). Strong experience in statistical modeling, predictive analytics, clustering, classification, regression & multi-variate techniques. Hands-on experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib). Familiarity with cloud platforms (AWS, Azure preferably), knowledge about Azure ML Services & Snowflake would be plus one Strong understanding of SQL and working with relational databases. Good to have knowledge of NLP(Natural Language Processing) and Computer Vision.

Role & responsibilities Job Title: Data Scientist (3-5 Years Experience) Key Responsibilities: Develop and implement machine learning and deep learning models for various business problems, with a strong focus on time series forecasting. Analyze large, complex datasets to extract actionable insights and identify trends, patterns, and opportunities for improvement. Design, build, and validate predictive models using state-of-the-art techniques, ensuring scalability and robustness. Collaborate with cross-functional teams (Product, Engineering, Business) to translate business requirements into data science solutions. Communicate findings and recommendations clearly to both technical and non-technical stakeholders. Stay updated with the latest research and advancements in machine learning, deep learning, and time series analysis, and proactively apply new techniques as appropriate. Mentor junior team members and contribute to a culture of continuous learning and innovation. Requirements Required Skills & Qualifications: 3-5 years of hands-on experience in data science, machine learning, and statistical modeling. Strong expertise in time series forecasting (ARIMA, XGBoost, RandomForest, TFT, NHITS, etc.) and familiarity with deep learning frameworks (TensorFlow, PyTorch). Excellent programming skills in Python (preferred), with proficiency in libraries such as NumPy, Pandas, scikit-learn, and visualization tools (Matplotlib, Seaborn, Plotly). Solid conceptual understanding of machine learning algorithms, deep learning architectures, and statistical methods. Experience with data preprocessing, feature engineering, and model evaluation. Ability to learn quickly and adapt to new technologies, tools, and methodologies. Strong problem-solving skills and a keen attention to detail. Excellent communication and presentation skills. Preferred Qualifications: Experience with cloud platforms and MLOps tools. Exposure to big data technologies (Spark, Hadoop) is a plus. Masters degree in Computer Science, Statistics, Mathematics, or a related field. Benefits What a Consulting role at Thoucentric will offer you? Opportunity to define your career path and not as enforced by a manager A great consulting environment with a chance to work with Fortune 500 companies and startups alike. A dynamic but relaxed and supportive working environment that encourages personal development. Be part of One Extended Family. We bond beyond work - sports, get-togethers, common interests etc. Work in a very enriching environment with Open Culture, Flat Organization and Excellent Peer Group. Be part of the exciting Growth Story of Thoucentric!

Dear Folks, Greetings !!! This is with reference to your profile posted in Naukri.com, We have an immediate openings for the below requirement. Please find the given job description, more details about company. Let me know your interest . About Tao Digital India: Tao Digital is a global technology company with a mission to unlock limitless digital innovation through solutions and services that help our clients reimagine their businesses through a digital lens. Our software and engineering heritage, strategic business and innovation consulting, design thinking, physical-to-digital competencies, and re-engineering skills provide real business value to our customers and help them thrive in the new digital economy and we have 3500+ employees. Tao Digital operates in the US, Canada, India, LATAM, and Nigeria Join the Team TAO and become part of a team of innovators and visionaries, leading the way in the future of business and making a real impact globally. Job Description: Highly skilled Big Data Engineer with expertise in distributed systems, and advanced programming techniques. Candidate will possess experience in developing highly scalable Big Data pipelines, strong technical knowledge, thought leadership, and a passion for creating scalable, high-performance systems. Must Skillsets : Big Data, Scala, AWS, CICD Key Responsibilities Design, Develop, and optimize distributed systems and Big Data solutions. Implement and maintain pipelines using Scala, Python, AWS, CICD Build and maintain CI/CD pipelines to ensure efficient code deployment and integration. Apply design patterns, optimization techniques, and locking principles to enhance system performance and reliability. Scale systems and optimize performance Required Qualifications Proven experience working with distributed systems and Big Data technologies. Proficiency in Scala, Python, Java, C++ and related tools. In-depth understanding of design patterns and system optimisation principles. Hands-on experience with batch and streaming data pipelines. Familiarity with CI/CD pipelines

Job Role: Data Scientist Location: Bangalore, Chennai, Hyderabad, Pune, Kochi, Coimbatore Experience : 6 - 10 Years Job Description Mandatory Skills: 5+ years of experience in AI/ML, data engineering, or software development Strong Programming Skills In Python Familiarity with common data science libraries (e.g., NumPy, pandas, scikit-learn) Understanding of machine learning, deep learning, and NLP concepts Basic knowledge of API integrations Passion for Generative AI with excellent problem-solving and team collaboration skills Nice To Have Skills Experience with Amazon Bedrock Experience With Claude API (Anthropic) Knowledge of Retrieval-Augmented Generation (RAG) or multi-agent systems (e.g., CrewAI)

Job Description Job Role: Data Scientist / AI Solution Engineer– India contractor Band Level: NA Reports to: Team Leader/Manager Preferred Location : Gurugram, Haryana, India Work Timings: 11:30 am – 08 pm IST Implement Proof of Concept and Pilot machine learning solutions using AWS ML toolkit and SaaS platforms Configure and optimize pre-built ML models for specific business requirements Set up automated data pipelines leveraging AWS services and third-party tools Create dashboards and visualizations to communicate insights to stakeholders Document technical processes and knowledge transfer for future maintenance Requirements Bachelor’s degree in computer science, Data Science, or related field 1-3 years of professional experience implementing machine learning solutions. We can entertain someone who is fresh graduate with significant work in AI in either internship or projects Demonstrated experience with AWS machine learning services (SageMaker, AWS ML Services, and understanding of underpinnings of ML models and evaluations.) Proficiency with data science SaaS tools (Dataiku, Indico, H2O.ai, or similar platforms) Working knowledge of AWS data engineering services (S3, Glue, Athena, Lambda) Experience with Python and common data manipulation libraries Strong problem-solving skills and ability to work independently Preferred Qualifications Previous contract or work experience in similar roles Familiarity with API integration between various platforms Experience with BI tools (Power BI, QuickSight) Knowledge of cost optimization techniques for AWS ML services Prior experience in our industry (please see company overview)

Job Description: - You'll be Responsible for:  Design, develop and implement cutting-edge AI/ML solutions, including Large Language Models (LLMs) and Generative AI applications  Lead projects end-to-end while mentoring team members in AI-ML, including traditional ML and emerging AI technologies  Drive innovation in AI agent development and orchestration for automated decisionmaking systems  Establish best practices for responsible AI development and deployment What you'd have:  AI-ML Engineer or Data Scientist with 3 – 11 years of relevant experience  Strong expertise in modern AI frameworks and tools:  ML/DL frameworks (TensorFlow, PyTorch, Keras, Sklearn)  LLM frameworks (LangChain, LlamaIndex, CrewAI, AutoGen)  Vector databases (Pinecone, Weaviate, ChromaDB) – Good To Have  Hands-on experience with:  Generative AI and foundation models  Prompt engineering and LLM fine-tuning  AI agent development and orchestration  RAG (Retrieval-Augmented Generation) systems  Proven experience in data preparation, including:  Advanced data preprocessing techniques  Feature engineering  Data quality assessment and improvement  Proficiency in data exploration tools (Pandas, Numpy, Polars)  Strong programming skills in Python; R is a plus  Deep understanding of:  Statistics and probability  ML/DL algorithms  AI governance and responsible AI practices  Experience with:  Large-scale data processing  Model deployment and MLOps  Cost optimization for AI systems  Track record of 3-5 successful AI/ML projects in production  Excellent communication skills and team leadership ability  Continuous learning mindset for emerging AI technologies Skills:  Statistics and Mathematics  Classical Machine Learning  Deep Learning and Neural Networks  Generative AI and LLMs  Agentic AI Development  MLOps and Production Engineering  Data Engineering  Model Optimization and Tuning  AI Governance and Ethics  Team Leadership Why join us?  Impactful Work: Play a pivotal role in safeguarding Tanla's assets, data, and reputation in the industry.  Tremendous Growth Opportunities: Be part of a rapidly growing company in the telecom and CPaaS space, with opportunities for professional development.  Innovative Environment: Work alongside a world-class team in a challenging and fun environment, where innovation is celebrated. Tanla is an equal opportunity employer. We champion diversity and are committed to creating an inclusive environment for all employees. www.tanla.com

We are seeking a Data Scientist with 3 to 5 years of experience to join our data and analytics team. In this role, you will leverage data to develop and deploy predictive models, uncover actionable insights, and support data-driven decision-making across business units. This position requires a strong foundation in statistics, machine learning, and programming, combined with the ability to communicate findings clearly to both technical and non-technical stakeholders. Key Responsibilities Analyze complex datasets to identify trends, patterns, and insights that drive business outcomes. Design and develop machine learning models for classification, regression, recommendation, clustering, or forecasting. Clean, transform, and enrich data from diverse sources to support modeling and reporting. Work closely with product, engineering, and operations teams to scope problems and translate them into data science solutions. Design and execute A/B testing frameworks for product and marketing optimization. Visualize and present results using dashboards and storytelling techniques that influence decisions. Monitor and improve deployed models and pipelines for performance and stability. Ensure data quality, security, and compliance with governance standards. Required Qualifications Bachelor's or Masters degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. 35 years of practical experience in a data science or machine learning role. Proficiency in Python (NumPy, pandas, scikit-learn, etc.) or R. Strong command of SQL and working knowledge of relational databases. Solid understanding of statistical methods, hypothesis testing, and model evaluation techniques. Hands-on experience building and tuning supervised and unsupervised models. Experience working with version control systems (e.g., Git) and reproducible workflows. Preferred Qualifications Experience with cloud platforms like AWS (SageMaker), GCP (Vertex AI), or Azure. Familiarity with big data tools like Spark, Hive, Presto, or Snowflake. Exposure to MLOps practices and tools such as MLflow, Airflow, or Docker. Experience with data visualization tools like Tableau, Power BI, Plotly, or matplotlib. Business acumen to frame open-ended problems and translate insights into action.

Job Description : We are seeking a highly analytical and skilled Data Scientist to join our team. The ideal candidate will be adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. Responsibilities: Data mining or extracting usable data from valuable data sources Utilize predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes. Develop company A/B testing frameworks and test model quality. Coordinate with cross functional teams to implement models and monitor outcomes. Conduct data-driven research and create models to understand complex behaviors and trends. Present data insights and recommendations to senior management for strategic decision-making. Develop and maintain prediction systems and machine learning algorithms. Qualifications: Minimum 4+ years of experience in the IT industry. Strong problem-solving skills with an emphasis on product development. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Experience using statistical computer languages (Python, R, SQL, etc.) to manipulate data and draw insights from large data sets. A drive to learn and master new technologies and techniques. Experience working with and creating data architectures.

Lead data science team to deliver ML/NLP solutions. Build scalable models using Python, ensure data governance, collaborate across teams, and present insights. Requires expertise in ML, NLP, Python, data visualization, and strong leadership.

Job Title: Data Scientist Location: Chennai (Work From Office) Experience: 4 - 8 years About Us: At Objectways, we are at the forefront of AI innovation, solving real-world problems using cutting-edge machine learning and reasoning technologies. Our team works on ambitious projects involving agent trajectory prediction, complex reasoning systems, multimodal intelligence, and preference-based learning. We're looking for a talented Data Scientist eager to push the boundaries of applied AI. Role Overview: We are seeking an experienced Data Scientist (minimum 4 years) to work across a diverse range of AI projects, including: Machine Learning model development Agent Trajectory prediction and modeling Complex Reasoning and Decision Systems Preference Ranking & Reinforcement Learning Multimodal Reasoning (Text, Image, Audio) Prompt Validation and Evaluation for LLMs Key Responsibilities: Design and build ML models for structured and unstructured data Conduct agent-based simulations and develop trajectory learning systems Apply preference learning techniques for fine-tuned ranking outcomes Handle multimodal datasets and develop reasoning pipelines across modalities Validate and optimize prompts for large language model performance Translate research into scalable, production-level implementations Collaborate with cross-functional teams (Engineering, Product, Research) Required Qualifications: Minimum 4 years of hands-on experience in Data Science or Machine Learning roles Strong foundation in Python, PyTorch/TensorFlow, scikit-learn, and ML lifecycle tools Proven expertise in one or more: trajectory modeling, preference ranking, or multimodal systems Experience with LLM prompt engineering and evaluation techniques Solid understanding of complex reasoning algorithms, graph-based methods, or causal inference Strong problem-solving, analytical thinking, and communication skills Preferred Skills: Familiarity with tools like LangChain, Hugging Face, or OpenAI APIs Exposure to RLHF (Reinforcement Learning from Human Feedback) or prompt-tuning Experience with deploying ML models in production environments (e.g., using Docker, MLflow) Why Join Us: Work on high-impact, next-generation AI challenges Collaborate with top talent across domains Competitive salary + benefits + learning budget

Job Title: Freshers - Data Science Company: Digient Technologies Pvt. Ltd. Location: Chennai (Onsite) Experience: 0 1 Year Functional Area: Data Science & Analytics About Us Digient Technologies is a dynamic and innovative B2B online iGaming company, dedicated to providing cutting-edge solutions in the rapidly evolving iGaming industry. We pride ourselves on delivering high-quality products and services that enable our clients to stay ahead in the competitive landscape of online iGaming. Overview Digient Technologies is looking for fresh graduates who are passionate about data to join our team as Data Science Freshers . Selected candidates will undergo a structured 3-month comprehensive program covering Python, SQL, Machine Learning, and Data Analytics. Upon successful completion, they will be absorbed as full-time employees at Digient Technologies. Key Responsibilities Participate in our structured comprehensive program covering Python, Machine Learning, Data Analytics, and related tools Assist in building and maintaining data models and analytical solutions Collect, clean, and analyze data to derive meaningful insights Support in building dashboards, reports, and predictive models Collaborate with cross-functional teams to solve business problems using data Document workflows, findings, and recommendations Eligibility Criteria Bachelors degree in Computer Science, Data Science, Mathematics, Statistics, or related field Basic knowledge of Python, SQL, and statistics Strong analytical thinking and problem-solving skills Passion for working with data and numbers Good communication and interpersonal skills Willingness to learn and take ownership of tasks Good to Have Familiarity with libraries like Pandas, NumPy, Scikit-learn, or similar Exposure to data visualization tools like Power BI, Tableau, or Matplotlib Basic understanding of Machine Learning concepts

Designation : Data Scientist Experience : 7+ Years Work Mode: Anywhere in South India ( Trivandrum/Kochi/Chennai/Bangalore/Hyderabad) - Hybrid Notice Period: Immediate Joiners/ Serving Notice Period Job Description : Skills Machine Learning, Statistical Analysis, Data Visualization, Expert Level Programming(Python) Skills/Experience: MSc/PhD in Mathematics, Statistics, Data Science, Computer Science, or related field, or equivalent extensive work experience. Substantial experience (7+ years) as a Data Scientist or in a similar senior role, with a proven track record in consulting or client-facing environments. Demonstrated expertise in creating actionable insights that drive business value, with the ability to communicate complex findings to C-level executives and non-technical stakeholders. Advanced proficiency in data science programming languages (e.g., Python, R, SQL) with a portfolio of complex projects and contributions to open-source communities. In-depth knowledge and hands-on experience in deploying ML models and advanced analytics in cloud production environments. Relevant certifications (e.g., AWS, Azure, GCP) are highly desirable. Proven ability to lead and mentor teams, with excellent project management and stakeholder management skills. Track record of thought leadership, such as conference presentations, published papers, or patents in the field of data science or machine learning. Sincerely, Sonia TS

Havas CSA is seeking a Data Scientist with 2-4 years of experience to contribute to advanced analytics and predictive modelling initiatives. The ideal candidate will combine strong statistical knowledge with practical business understanding to help develop and implement models that drive customer value and business growth. Responsibilities: Implement and maintain customer analytics models including CLTV prediction, propensity modelling, and churn prediction Support the development of customer segmentation models using clustering techniques and behavioural analysis Assist in building and maintaining survival models to analyze customer lifecycle events Work with large-scale datasets using BigQuery and Snowflake Develop and validate machine learning models using Python and cloud-based ML platforms, specifically BQ ML, ModelGarden and Amazon Bedrock Help transform model insights into actionable business recommendations Collaborate with analytics and activation teams to implement model outputs Present analyses to stakeholders in clear, actionable formats Qualifications: Bachelor's or master’s degree in Statistics, Mathematics, Computer Science, or related quantitative field 1-2 years’ experience in applied data science, preferably in marketing/retail Experience in developing and implementing machine learning models Strong understanding of statistical concepts and experimental design Ability to communicate technical concepts to non-technical audiences Familiarity with agile development methodologies Technical Skills: Advanced proficiency in: SQL and data warehouses (BigQuery, Snowflake) Python for statistical modeling Machine learning frameworks (scikit-learn, TensorFlow) Statistical analysis and hypothesis testing Data visualization tools (Matplotlib, Seaborn) Version control systems (Git) Understanding of Google Cloud Function and Cloud Run Experience with: Customer lifetime value modeling RFM analysis and customer segmentation Survival analysis and hazard modeling A/B testing and causal inference Feature engineering and selection Model validation and monitoring Cloud computing platforms (GCP/AWS/Azure) Key Projects & Deliverables Support development and maintenance of CLTV models Contribute to customer segmentation models incorporating behavioral and transactional data Implement survival models to predict customer churn Support the development of attribution models for marketing effectiveness Help develop recommendation engines for personalized customer experiences Assist in creating automated reporting and monitoring systems Soft Skills Strong analytical and problem-solving abilities Good communication and presentation skills Business acumen Collaborative team player Strong organizational skills Ability to translate business problems into analytical solutions Growth Opportunities Work on innovative data science projects for major brands Develop expertise in cutting-edge ML technologies Learn from experienced data science leaders Contribute to impactful analytical solutions Opportunity for career advancement We offer competitive compensation, comprehensive benefits, and the opportunity to work with leading brands while solving complex analytical challenges. Join our team to grow your career while making a significant impact through data-driven decision making. Contract Type : Permanent Here at Havas across the group we pride ourselves on being committed to offering equal opportunities to all potential employees and have zero tolerance for discrimination. We are an equal opportunity employer and welcome applicants irrespective of age, sex, race, ethnicity, disability and other factors that have no bearing on an individual’s ability to perform their job. Job Type: Full-time Pay: ₹1,000,000.00 - ₹1,300,000.00 per year Benefits: Health insurance Life insurance Paid sick time Paid time off Provident Fund Work from home Ability to commute/relocate: Andheri, Mumbai, Maharashtra: Reliably commute or planning to relocate before starting work (Preferred) Experience: Data science: 2 years (Preferred) Work Location: In person

Job Description Job Description Our NielsenIQ teams empower our clients to make bold decisions and transform their businesses in trusted data, solutions, and insights designed to drive innovation and growth. The NielsenIQ North America Data Science team is passionate about solving complex client challenges and providing data-driven, actionable, timely, and innovative solutions. This Sr. Data Scientist position was created to support our US Data Science initiatives. This position requires someone who is passionate about learning, multi sourced data, data quality, statistical measurement, automation, efficiency, and consumer behavior. Responsibilities Lead detailed analysis. Simultaneously balance multiple projects. Represent Data Science in interactions with other functions. Support end to end implementation of solutions. Ability to evaluate current methodologies quickly. Document and present findings and recommendations. Detect, troubleshoot, and resolve system anomalies. Provide explanation to teams in a format that meets their level of understanding. Continually develop skill set. Experience Bachelor’s or Master’s Degree with a quantitative discipline. Skills 3-5 Years of professional experience in a quantitative field. Curiosity to learn and continually upgrade skills. Disposition to understand processes and methodologies. Quantitative aptitude with proven data analysis and problem solving skills. Proficiency with Python or R, and SQL. Experience with working on large amounts of data. Strong verbal, presentation, and written skills. Strong planning and organizational skills. Ability to work independently as well as in a team environment. About NielsenIQ NielsenIQ is a global measurement and data analytics company that provides the most complete and trusted view available of consumers and markets worldwide. We provide consumer packaged goods manufacturers/fast-moving consumer goods and retailers with accurate, actionable information and insights and a complete picture of the complex and changing marketplace that companies need to innovate and grow. Our approach marries proprietary NielsenIQ data with other data sources to help clients around the world understand what’s happening now, what’s happening next, and how to best act on this knowledge. We like to be in the middle of the action. That’s why you can find us at work in over 90 countries, covering more than 90% of the world’s population. For more information, visit www.niq.com. NielsenIQ is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion

We are seeking a skilled and motivated Data Scientist with 3–5 years of hands-on experience in data analytics, machine learning, and business intelligence. The ideal candidate will be responsible for deriving actionable insights from data, building predictive models, and supporting data-driven decision-making across various business units. Key Responsibilities: Analyze structured and unstructured datasets to extract insights and identify trends.Design and implement machine learning models for classification, regression, clustering, and recommendation. Collaborate with business stakeholders to understand objectives and translate them into data solutions. Perform data wrangling, preprocessing, feature engineering, and model validation. Build dashboards and reports using visualization tools like Power BI or Tableau. Present findings and recommendations to technical and non-technical audiences. Contribute to model deployment and monitoring processes. Required Skills & Qualifications: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. 3–5 years of industry experience in a Data Scientist or similar role. Proficient in programming languages such as Python or R . Strong experience with data manipulation tools like pandas , NumPy , and machine learning libraries like scikit-learn , XGBoost , or TensorFlow/PyTorch . Solid knowledge of SQL and database querying. Experience with data visualization tools like Power BI , Tableau , or Matplotlib/Seaborn . Familiarity with version control (e.g., Git) and basic software development practices. Preferred Qualifications: Experience working with cloud platforms (AWS, Azure, or GCP). Exposure to big data tools (Spark, Hadoop) is a plus. Knowledge of NLP, time-series forecasting, or deep learning techniques is desirable. Strong problem-solving and communication skills. What We Offer: A collaborative, innovative work environment. Opportunities to work on real-world data challenges across industries. Access to modern tools, cloud platforms, and machine learning infrastructure. Competitive salary and performance-based incentives. Job Type: Full-time Pay: From ₹30,000.00 per month Benefits: Food provided Schedule: Day shift Work Location: In person