3930 R Jobs - Page 19

The role at GMP offers you the opportunity to be part of a high-growth team with a global footprint. As a Data Insights and Analysis professional, your responsibilities will include summarizing key data-driven insights for the senior leadership team to drive better outcomes, recommending new metrics and strategies to enhance operational and quality metrics, and utilizing your deep understanding of economic concepts to drive the financial strategy. You will act as an ambassador for data-driven decision-making within the company, ensuring that insights are shared and acted upon across departments. Your problem-solving and communication abilities will be put to the test as you diagnose issues, clean and analyze data, and provide visualization and presentations. Recognizing and adopting best practices in reporting and analysis will be crucial, as well as taking initiatives to improve the quality and efficiency of internal reports and streamline analysis processes. Additionally, you will be responsible for liaising between functional teams such as Customer Success, Sales, Finance, and Tech, building and maintaining strong customer relationships, and delivering engaging customer demos. Providing live, on-call support to executives and addressing technical issues promptly will be part of your role. To excel in this position, you should have at least 5 years of experience in Business Intelligence, Data Science, or Analytics, preferably in a product-based tech start-up environment. A solid understanding of data modeling, PostgreSQL, relational databases, R or Python, business intelligence tools (e.g., Tableau, Power BI, Looker, Metabase), Advanced Excel, VBA, and statistical analysis techniques is essential. You should be able to develop and optimize SQL queries and stored procedures, implement best practices for database development, and optimize database performance to support complex analytical queries. Project Management and process improvement experience would be highly beneficial. Effective communication skills and the ability to facilitate discussions at the executive level are also important. If you are looking for a challenging yet rewarding opportunity in a fast-paced environment, apply for this job to join GMP's dynamic team.,

Applications are invited for the Post of Junior Research Fellow ( JRF ) for the ANRF Funded Project in the Department of Physics, School of Advanced Sciences (SAS), at Vellore Institute of Technology (VIT), Vellore, T.N, India. Title of the Project : “Development of cost-efficient and scalable perovskite based colloidal nanoparticles for high performance plastic scintillators” Qualification : M.Sc./ M.Tech. in Physics/ Materials Science or related fields from recognized universities/institutes with a minimum of first class and with GATE / CSIR-UGC JRF / NET-LS qualification. Mandatory Skills : Candidates should have a strong research background in synthesis and characterization of nanomaterials. Experience with colloidal semiconductor nanomaterials and related photo physics is desirable. Stipend : Rs. 37,000 p.m. + 8% HRA for the first two years (JRF); Rs. 42,000 p.m.+ 8% HRA for the third year (SRF) will be as per Institute norms. No. of Vacancies : 01 Post (ONE) Age Limit (if any) : Not exceeding 30 years i.e. Age must be from 18 to 30 years Sponsoring Agency : ANRF, PMECRG program, New Delhi, India Duration : 36 Months Principal Investigator : Dr. Abhinav Anand, Assi stant Professor, Department of Physics School of Advanced Sciences, Vellore Institute of Technology (VIT) Vellore - 632 014, Tamil Nadu. Interested candidates with the above-mentioned qualifications can send your resume along with relevant documents pertaining to the details of qualifications, scientific accomplishments, experience (if any) and latest passport size photo etc. on or before ( 18/08/2025) through the website: http://careers.vit.ac.in No TA and DA will be paid for appearing the interview. Shortlisted candidates will be called for an interview at a later date which will be intimated by email. The selected candidate will be expected to join at the earliest.

Are you seeking an exciting opportunity to become part of a dynamic and expanding team in a fast-paced and challenging environment This unique role offers you the chance to collaborate with the Business to provide a comprehensive view. The Business Intelligence team is tasked with utilizing data-driven and advanced analytical methods to identify, prioritize, and expedite high-value revenue growth opportunities for the Global Banking business. By leveraging both existing and new data sets, including JPMC-proprietary and third-party market research, the team identifies the most promising opportunities for the business to attract new clients profitably and enhance existing relationships. Additionally, the team develops actionable business insights and assists business intelligence leads in articulating the most optimal growth opportunities. As a Strategy & Business Intelligence Associate within our Global Banking Intelligence team, you will operate at the intersection of data analytics and business problem-solving. Your daily tasks will involve defining, refining, and achieving set goals for our firm through the use of relevant, timely, and effective data-driven strategies. Responsibilities: - Take ownership and lead workstreams within broader strategic projects in the business intelligence portfolio - Serve as an internal consultant by framing problems, structuring analysis, and providing actionable insights to stakeholders - Engage with JPM senior leadership and bankers through progress updates, steerco meetings, data gathering exercises, etc. - Transmit actionable insights to business stakeholders via appropriate delivery methods such as dashboards, email alerts, PowerPoint presentations, etc. - Adapt to a fast-paced environment with multiple projects and frequently competing priorities Required qualifications, capabilities, and skills: - Minimum of 3 years" experience in Strategy, Data Analytics, or Consulting - Demonstrated ability to solve business problems by extracting actionable insights to support business growth objectives from various data and research assets - Strong business comprehension and a quantitative/analytical mindset - Ability to interact with senior leadership and global stakeholders using strong presentation, communication, and collaboration skills - Proficiency in any of the following software: Python, R, or SQL, along with familiarity with relational database concepts, and a willingness to learn Preferred qualifications, capabilities, and skills: - Preferred experience in management consulting or financial services - MBA/M.Tech from a top-tier school; additional qualifications in data/business analytics are advantageous - Expertise with tools like Alteryx, Tableau, and Qliksense - Strong quantitative background or a background in statistics and machine learning would be beneficial,

PharmaACE is a growing Global Healthcare Consulting Firm, headquartered in Princeton, New Jersey. Our expert teams of Business Analysts, based across the US, Canada, Europe, and India, provide Analytics and Business Solutions using our worldwide delivery models for a wide range of clients. Our clients include established, multinational BioPharma leaders and innovators, as well as entrepreneurial firms on the cutting edge of science. We have deep expertise in Forecasting, Business Analytics, Competitive Intelligence, Sales Analytics, and the Analytics Centre of Excellence Model. Our wealth of therapeutic area experience cuts across Oncology, Immuno- science, CNS, CV-Met, and Rare Diseases. We support our clients" needs in Primary Care, Specialty Care, and Hospital business units, and we have managed portfolios in the Biologics space, Branded Pharmaceuticals, Generics, APIs, Diagnostics, and Packaging & Delivery Systems. Role Summary: This is a client-facing leadership role responsible for managing strategic relationships, designing and delivering advanced analytics and AI/GenAI solutions, and driving measurable impact across global life sciences organizations. The ideal candidate will blend deep pharma domain knowledge, modern AI/ML expertise, and strong consulting acumen to shape and deliver differentiated solutions to commercial and brand teams at top pharmaceutical and biotech companies. Client Engagement & Advisory (40%): - Act as a strategic advisor to brand, commercial, and analytics leaders in global pharma clients. - Lead consultative discussions on AI/analytics roadmaps, omnichannel strategy, forecasting, and performance management. - Present insights, influence stakeholders, and translate analytics into compelling narratives that drive decisions. AI-Enhanced Analytics Delivery (30%): - Oversee delivery of AI-enabled solutions across domains like: - Dynamic segmentation & targeting - Next-best-action engines - Predictive HCP behavior models - LLM-based insight generation (GenAI) - Brand performance diagnostics - Ensure robust quality, timeliness, and strategic relevance of deliverables. Team & Capability Development (20%): - Lead and grow a high-performing team of consultants, data scientists, and domain experts. - Define and scale reusable AI/GenAI assets, frameworks, and accelerators. - Partner with internal technology, data, and innovation teams to align on platform evolution. Practice Growth & Innovation (10%): - Contribute to RFPs, proposals, and solutioning for new business opportunities. - Develop PoVs, whitepapers, and use cases to position the firm as a leader in commercial AI/GenAI. - Continuously scan the market for new pharma AI applications, platforms, and data partnerships. Required Qualifications: - Masters degree or higher in Data Science, Life Sciences, Business Analytics, or related field. - 1015 years of experience in commercial pharma analytics, including at least 35 years in a client-facing vendor/consulting role. - Strong understanding of commercial pharma data: IQVIA (NRx/TRx), patient claims, CRM, HCP engagement, formulary/market access data. - Experience delivering AI/ML/GenAI-driven solutions in real-world commercial use cases. - Proven ability to engage with senior pharma stakeholders (Directors, VPs, GMs) and lead large programs. Preferred Skills: - Familiarity with GenAI tools: OpenAI APIs, Claude, LLM summarization tools, Insight copilots. - Experience with tools like Python/R, SQL, Tableau/Power BI, Databricks/Snowflake. - Hands-on understanding of pharma GTM processes (launch excellence, sales ops, brand planning). Core Competencies: - Strategic thinking and business storytelling - Strong client presence and relationship building - AI fluency ability to evangelize and translate tech to value - Project management and operational excellence - Thought leadership and innovation mindset,

As a Senior Specialist in Data Science at our company, you will have the opportunity to leverage analytics and technology to drive decision-making in order to address some of the world's greatest health threats. You will be part of the Insights, Analytics, and Data organization, working with partners in various Therapeutic and Domain areas to create scalable and production-grade analytics solutions. Your role will involve collaborating with Market leaders to tackle critical business questions using data science solutions and translating business queries into analytical problems. We are looking for candidates with prior experience in healthcare analytics or consulting sectors, leading Data Science teams, and delivering end-to-end data science projects. You should have a thorough understanding of Physician and Patient-level data from leading vendors and extensive experience in commercial pharma analytics. Effective communication skills are crucial as you will be interfacing with executive and business stakeholders. As a Senior Specialist in Data Science, you should have a solid foundation in statistics and machine learning and be able to work in high-performance computing environments. You should be self-motivated, with the ability to think independently and structure your data science approach according to the task at hand. Collaboration, continuous learning, and effective communication are key aspects of this role. Key Responsibilities: - Lead a moderate-sized team of Data Scientists to solve complex business problems - Collaborate with business leaders to define and prioritize business problems and conceptualize data science solutions - Standardize and scale data science solutions to increase delivery efficiency - Collaborate with cross-functional teams to design and implement solutions meeting business requirements - Present findings to senior business stakeholders and ensure technical and professional development of junior team members - Develop expertise in the therapeutic area of interest and contribute to thought leadership through publications and presentations Minimum Qualifications: - Bachelor's degree with 8-10 years of industry experience - Extensive experience in healthcare analytics or consulting sectors - Strong Python/R, SQL, Excel skills - Strong foundation in statistics and machine learning Preferred Qualifications: - Advanced degree in STEM (MS, MBA, PhD) - Experience in Oncology/Vaccine/Pharma & Rare Diseases therapeutic area commercial analytics - Experience in End to End Program Management Join us in our mission to put patients first and bring breakthrough medicines to customers worldwide. We are committed to fostering an inclusive and diverse workplace where diverse ideas come together for innovative solutions. We are an equal opportunity employer and encourage respectful challenge and collective problem-solving. Apply now if you meet the qualifications and are passionate about making a difference in the world of healthcare analytics and data science.,

A minimum of 6 years of experience in data science role, including hands-on experience with machine learning and statistical analysis. Proficiency in Python, Core ML, SQL, R and data manipulation, visualization.

As a Data Scientist at our company, you will play a crucial role in analyzing large volumes of data, developing predictive models, and providing actionable insights to drive business decisions and enhance our learning systems. Your responsibilities will include collecting, cleaning, and preprocessing data from various sources, as well as building and assessing predictive models and machine learning algorithms. You will analyze data trends and patterns to offer valuable business insights and collaborate with teams across different functions such as product, marketing, and tech. Designing experiments, interpreting results using statistical techniques, and presenting findings through visualizations and reports will also be part of your role. To excel in this position, you should hold a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Proficiency in programming languages like Python or R, strong SQL skills for working with large datasets, and familiarity with machine learning libraries such as scikit-learn, TensorFlow, and PyTorch are essential. Additionally, knowledge of data visualization tools like Power BI, Tableau, matplotlib, and seaborn, along with excellent problem-solving, analytical, and communication skills will be beneficial. Staying updated with the latest advancements in data science and AI is crucial for this role. If you are a proactive individual with a passion for data analysis and a desire to contribute to meaningful business decisions, we encourage you to apply for this full-time Data Scientist position.,

Join our dynamic Workforce Planning (WFP) team within Consumer and Community (CCB) Operations division and be part of a forward-thinking organization that leverages data science to optimize workforce efficiency. Contribute to innovative projects that drive impactful solutions for Chase's operations. As an Operations Research Analyst within the WFP Data Science team, you will tackle complex and high-impact projects. You will assess unstructured problems, develop practical strategies, and propose solutions to enhance decision-making processes. Collaborate with management to prioritize, time, and deliver next-gen operations research solutions. Your responsibilities will include designing and developing optimization models and simulation models, supporting OR projects either individually or as part of a project team, collaborating with stakeholders to understand business requirements and define solution objectives clearly, selecting appropriate methods to solve problems while staying updated on the latest OR methodologies, ensuring the robustness of mathematical solutions, developing and communicating recommendations and OR solutions in an easy-to-understand manner using data to tell a story, leading and persuading others to positively influence team efforts, and helping frame a business problem into a technical problem to achieve feasible solutions. To be considered for this role, you should possess a Master's Degree with 4+ years or a Doctorate (PhD) with 2+ years of experience in Operations Research, Industrial Engineering, Systems Engineering, Financial Engineering, Management Science, or related disciplines. You should have experience supporting OR projects with multiple team members, hands-on experience in developing simulation models, optimization models, and/or heuristics, a deep understanding of the math and theory behind Operations Research techniques, proficiency in Open Source Software (OSS) programming languages like Python, R, or Scala, experience with commercial solvers like GUROBI, CPLEX, XPRESS, or MOSEK, and familiarity with basic data table operations (SQL, Hive, etc.). Additionally, you should have demonstrated relationship building skills and a superior ability to make things happen through positive influence. Preferred qualifications include advanced expertise with Operations Research techniques, prior experience in building Reinforcement Learning Models, extensive knowledge of Stochastic Modelling, and previous experience in leading highly complex cross-functional technical projects with multiple stakeholders.,

As a Specialist at Mastercard, your role will be within the Consumer Acquisition & Engagement team under the Services department in Gurgaon. With 24 years of experience in Analytics, Marketing Science, or Data Science, you will be responsible for leading the design and execution of A/B tests, campaign analytics, and test-control methodologies. Your deep-dive analysis on customer journeys, marketing funnels, and portfolio performance will be crucial in developing predictive models for segmentation, personalization, and targeting strategies. Your thought leadership in marketing measurement and performance optimization will drive business impact through clear storytelling and stakeholder engagement. To qualify for this position, you should hold an undergraduate degree with 2-4 years of analytical experience in consulting, analytics, or data science, specifically focusing on marketing analytics. Proficiency in SQL, Python, R, or SAS is required, along with a strong foundation in A/B testing, test-control analysis, and statistical modeling. Effective communication skills, experience with data visualization platforms, and the ability to manage multiple tasks in a fast-paced environment are essential. Fluency in English and the local office language is necessary, along with eligibility to work in the country of application. Preferred qualifications include experience in digital marketing, lifecycle campaigns, or customer analytics. Exposure to GenAI tools and a Master's degree in Data Science, Statistics, Econometrics, Marketing, or related fields are advantageous. At Mastercard, all employees are expected to adhere to security policies, maintain the confidentiality and integrity of information, report any security violations, and complete mandatory security trainings. Your contribution to Mastercard's culture and growth will be instrumental in driving data-driven marketing products to unlock priceless possibilities globally.,

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Drive the strategic vision for AI/ML initiatives and align them with the company's broader AI roadmap. Lead cross-functional teams including data scientists, ML engineers, and architects to deliver scalable AI solutions. Translate complex technical insights into actionable business strategies and communicate them effectively to stakeholders. Oversee the full lifecycle of AI/ML projects, leveraging LLMs and generative AI to build innovative, data-driven applications. Ensure high standards of data quality, model performance, and system reliability while staying current with emerging AI trends. Over 10 years of experience in data science with a Masters/PhD from a Tier 1 institute, specializing in AI/ML model development and deployment. Expertise in machine learning, deep learning, NLP (including LLMs like GPT, BERT, Gemini), and big data frameworks like Spark/Hadoop. Skilled in Python, R, and deep learning libraries (TensorFlow, PyTorch, Keras), with hands-on experience in cloud platforms (AWS, GCP, Azure). Strong leadership in managing data science teams and implementing MLOps practices for scalable model delivery. Excellent communication, cross-functional collaboration, and deep understanding of data privacy, security, and agile methodologies. Work on cutting-edge AI/ML solutions using deep learning, NLP, and LLMs like GPT, BERT, and Gemini across cloud platforms (AWS, GCP, Azure). Lead and mentor data science teams to deliver scalable, secure, and production-ready models using MLOps best practices. Clear career progression paths from engineering roles to architecture and consulting. Be part of mission-critical projects that ensure security, compliance, and operational efficiency for Fortune 500 clients. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market-leading capabilities in AI, generative AI, cloud, and data, combined with its deep industry expertise and partner ecosystem.,

As a Data Eng, Mgmt. & Governance Manager at S&C Global Network, you will be responsible for overseeing Managed Services for various AI/ML implementations on major cloud environments. This includes working with tools such as Databricks, Spark, Snowflake, Sagemaker, VertexAI, and MLflow. Your role will involve making sound analytical decisions, understanding project tasks in the context of business performance improvement, and ensuring efficient delivery of services to clients while meeting service level agreements and customer expectations. You will have the opportunity to collaborate on high-visibility projects with global clients, work with industry experts to recommend innovative solutions leveraging emerging technologies, and contribute to a culture committed to equality and boundaryless collaboration. Personalized training modules will be provided to enhance your strategy and consulting skills, industry knowledge, and capabilities. Your key responsibilities will include providing specialist support to programs, coordinating project resources, conducting regular project status meetings, stakeholder management, leading the offshore support team, contributing to sales processes, driving automation and innovation initiatives, managing major incidents, and ensuring client satisfaction by delivering expected results. To excel in this role, you must have at least 5 years of experience in a similar position, hands-on experience in Java/Python/R and MySQL/Oracle/MongoDB, proficiency in AWS/GCP/Azure Cloud Services, and exposure to ITIL processes. A certification in PMP, Prince2, or ITIL is preferred. Additionally, you should possess strong problem-solving skills, excellent client handling abilities, and the capacity to deliver client delight. The ideal candidate will hold a bachelor's or master's degree in computer science or a related field, have a minimum of 12 years of experience, and demonstrate a track record of delivering impactful solutions in the Data and AI space. This position is based at our offices in Pune or Hyderabad. Join us at Accenture to be part of a dynamic team that is shaping the future of AI Managed Services and driving innovation in the industry.,

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. Job Description: Campus Hires for Data Scientist / Machine Learning Engineer Role Overview: We are seeking a highly talented individual with strong academic credentials in Data Science specialization areas. You should have good exposure to the Data Science life cycle with academic project experience on examining, statistically interpreting, and deriving meaningful insights from large sets of data. In this role, your responsibilities include extracting and processing information to find patterns and trends, using technology to analyze data, and creating a solution using machine-learning algorithms or predictive models for data analysis. You will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and the latest trends and cutting-edge AI model capabilities. Responsibilities: Your technical responsibilities: - Contribute to the design and build of state-of-the-art AI solutions. - Communicate effectively with stakeholders to define and implement AI project goals. - Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. - Conduct research and evaluation of advanced AI techniques. - Ensure compliance with data privacy, security, and ethical considerations in AI applications. - Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs. Requirements: - Bachelor or Master's Degree in Engineering (or equivalent) with specialization in Data Science or AI/ML, Statistics, Economics, or related fields. - Minimum one academic project in Data Science and Machine Learning. - Excellent track record in each semester. - In-depth knowledge of machine learning, deep learning, and generative AI techniques. - Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch. Good to Have Skills: - Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. - Exposure to any of the AI cloud platforms. - Excellent track record of participation in various AI forums (internal or external). - Strong credentials with good coding standards followed in Git repository.,

We are seeking a talented and enthusiastic AI Engineer to be a part of our team. As an AI Engineer, you will be responsible for the design, development, and deployment of AI models and algorithms to address intricate challenges and drive business value. The ideal candidate will possess a solid foundation in machine learning, deep learning, and data science, coupled with exceptional programming abilities. Your main responsibilities will include designing, developing, and implementing AI models and algorithms to solve real-world issues. You will collaborate with diverse teams to comprehend business requirements and transform them into technical solutions. Data analysis and preprocessing will be crucial to ensure high-quality input for AI models. Furthermore, you will be involved in training, testing, and validating AI models to guarantee accuracy and performance, along with deploying these models into production environments and monitoring their performance. Continuous enhancement of AI models by integrating new data and feedback will also be part of your role. It is essential to stay updated with the latest advancements in AI and machine learning technologies. Documenting AI models, processes, and outcomes for knowledge sharing and future reference will be necessary. Additionally, participation in code reviews and providing constructive feedback to peers will be expected. The ideal candidate should have prior experience as an AI Engineer, Machine Learning Engineer, or a similar role. Proficiency in machine learning algorithms, deep learning frameworks, statistical methods, and programming languages like Python, R, or Java is required. Familiarity with LLMs such as GPT-4, Llama-2, NLP, RAG, data preprocessing, feature engineering, and data visualization techniques is essential. Experience with machine learning libraries and frameworks like TensorFlow, Keras, PyTorch, Scikit-learn, vector databases such as Pinecone and ChromaDB, cloud platforms like AWS, Google Cloud, Azure, and version control systems like Git is preferred. Strong problem-solving skills, attention to detail, excellent communication, and collaboration skills are also vital. The ideal candidate should have 2-6 years of experience and a Bachelor's or Master's degree in computer science, artificial intelligence, machine learning, or a related field.,

Armada is an edge computing startup dedicated to providing computing infrastructure to remote areas with limited connectivity and cloud infrastructure, as well as locations requiring local data processing for real-time analytics and AI at the edge. We are on a mission to bridge the digital divide by deploying advanced technology infrastructure rapidly. To further this mission, we are seeking talented individuals to join our team. As a BI Engineer at Armada, you will play a crucial role in designing, building, and maintaining robust data pipelines and visualization tools. Your focus will be on empowering data-driven decision-making throughout the organization by collaborating closely with stakeholders to translate business requirements into actionable insights through the development and optimization of BI solutions. Key Responsibilities: - Design, develop, and maintain scalable ETL pipelines to facilitate data integration from multiple sources. - Construct and optimize data models and data warehouses to support business reporting and analysis. - Create dashboards, reports, and data visualizations using BI tools such as Power BI, Tableau, or Looker. - Collaborate with data analysts, data scientists, and business stakeholders to understand reporting needs and deliver effective solutions. - Ensure data accuracy, consistency, and integrity within reporting systems. - Perform data validation, cleansing, and transformation as needed. - Identify opportunities for process automation and enhance reporting efficiency. - Monitor BI tools and infrastructure performance, troubleshooting issues when necessary. - Stay updated on emerging BI technologies and best practices. Required Qualifications: - Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field. - 2-4 years of experience as a BI Engineer, Data Engineer, or similar role. - Proficiency in SQL with experience in data modeling and data warehousing (e.g., Snowflake, Redshift, BigQuery). - Familiarity with BI and data visualization tools (e.g., Power BI, Tableau, Qlik, Looker). - Strong understanding of ETL processes and data pipeline design. - Excellent problem-solving skills and attention to detail. Preferred Skills: - Experience with Python, R, or other scripting languages for data manipulation. - Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud Platform). - Understanding of version control (e.g., Git) and CI/CD practices. - Familiarity with APIs, data governance, and data cataloging tools. At Armada, we offer a competitive base salary and equity options, providing you with the opportunity to share in our success and growth. If you are intellectually curious, possess strong business acumen, and thrive in a fast-paced, collaborative environment, we encourage you to apply. Join us in making a difference and contributing to the success of Armada.,

As a Senior Data Analyst at our company based in Hyderabad, IN, with over 7 years of experience, you will play a crucial role in leveraging your expertise in SQL, data architecture, and the Google Cloud platform (GCP) ecosystem. Your primary responsibility will be to transform complex business queries into actionable insights, shaping strategic decisions, and contributing to the future direction of our Product/Operations team. It is essential to have a combination of technical proficiency, analytical rigor, and exceptional communication skills to collaborate effectively with engineering, product, and business stakeholders. Your key responsibilities will include advanced data analysis using SQL to query, analyze, and manipulate large datasets, creating and maintaining scalable dashboards and reports, managing source code effectively using platforms like GitHub, partnering with product managers to address critical business questions, collaborating with data engineers on data architecture and pipelines, translating complex data findings into compelling narratives for various audiences, leading analytical projects from inception to delivery, and mentoring junior analysts to foster a data-driven problem-solving culture. The ideal candidate should hold a Bachelor's degree in a quantitative field such as Computer Science or Statistics, possess a minimum of 5 years of experience in data analysis or business intelligence, demonstrate expert-level proficiency in SQL, have a solid understanding of data architecture and data modeling principles, excel in communication and stakeholder influencing, be familiar with business intelligence tools like Tableau or Looker, have experience with Google data tools like BigQuery, and exhibit a strong sense of curiosity and passion for data insights. In this role, you will lead a team of data scientists and analysts, oversee the development of data models and algorithms for new product initiatives, provide strategic direction for data science projects aligned with business objectives, collaborate with cross-functional teams to integrate data science solutions, analyze complex datasets for trends and patterns, utilize generative AI techniques, ensure adherence to ITIL V4 practices, mentor team members, monitor project progress, drive continuous improvement in data science methodologies, and foster a culture of innovation and collaboration within the team. To qualify for this role, you should have a solid background in business analysis and data analysis, expertise in generative AI, understanding of ITIL V4 practices, excellent communication and collaboration skills, proficiency in team management, and a commitment to working from the office during day shifts.,

You are an Intermediate Data Analyst responsible for interpreting complex data, deriving actionable insights, and facilitating data-driven decision-making within the organization. With 2-4 years of experience in data analysis, you excel in SQL/Python/R and are proficient in visualization tools such as Power BI and Tableau. Collaborating with diverse teams, you translate business inquiries into analytical solutions effectively. Your duties encompass various aspects of data analysis and reporting. This includes extracting, cleaning, and analyzing extensive datasets to detect trends, patterns, and anomalies. You create dashboards, reports, and visualizations to convey insights clearly to stakeholders. Moreover, you adeptly write complex SQL queries to extract and manipulate data from relational databases like PostgreSQL and MySQL, ensuring optimal query performance and accuracy. Utilizing intermediate statistical techniques like regression and clustering, you apply statistical models to address business challenges. Additionally, you support A/B testing and hypothesis validation processes. Proficiency in Python/R for data manipulation and automation, along with utilizing BI tools for self-service analytics, are integral parts of your role. You collaborate closely with Marketing, Operations, and Finance teams to define key performance indicators (KPIs) and monitor performance metrics, documenting processes and presenting findings to non-technical audiences. Your qualifications include a Bachelor's degree in Data Science, Statistics, Economics, Computer Science, or a related field, along with 2-4 years of data analysis experience, preferably in a specific industry. Technical skills required encompass advanced SQL knowledge, familiarity with Python/R for analysis, and expertise in BI tools like Power BI, Tableau, or Looker. Experience with Excel, cloud platforms, and soft skills like problem-solving and critical thinking are also essential. Desirable skills include knowledge of ETL processes and tools, exposure to machine learning concepts, and familiarity with version control or agile methodologies. This full-time, permanent position offers health insurance benefits and operates on a day shift at an in-person work location.,

The Artificial Intelligence Lead is responsible for overseeing the development and implementation of AI strategies and projects. This role requires a combination of technical expertise, leadership skills, and strategic thinking. You will work closely with cross-functional teams to integrate AI solutions into products and services. Key Responsibilities: Lead the AI team in developing and deploying AI models and algorithms. Define the AI strategy in alignment with the company's goals and objectives. Oversee the end-to-end AI project life cycle, from conceptualization to deployment. Collaborate with stakeholders to identify opportunities for AI-driven solutions. Ensure the ethical and responsible use of AI technologies. Stay updated with the latest advancements in AI and incorporate relevant innovations. Provide mentorship and guidance to team members. Manage the AI team's resources, budget, and timelines. Communicate AI project progress and insights to executive leadership. Qualifications: Bachelors or Masters degree in Computer Science, Engineering, or a related field. Proven experience (5+ years) in AI, machine learning, and data science. Team leading experience. Strong understanding of machine learning algorithms, neural networks, and natural language processing. Experience with AI development frameworks and tools (e.g., TensorFlow, PyTorch, Scikit learn). Proficiency in programming languages such as Python, R, or Java. Experience in managing and leading technical teams. Excellent problem-solving skills and ability to work on complex projects. Strong communication and interpersonal skills. Preferred Skills: Experience with big data technologies (e.g., Hadoop, Spark). Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure). Knowledge of AI ethics and regulatory considerations. Prompt with ML, Prompt Engineering, and AI Models. Experience in deploying AI solutions in production environments. Publications or contributions to AI research. Understanding of ISO Standards: Knowledge of relevant ISO standards (e.g., ISO 9001, 27001, and 27701) and their application in the workplace. Location: Mohali/ Noida Equal Employment Opportunity.,

As an AI/ML Engineer at oCode Technologies in Mohali, you will be a valuable member of our dynamic team, utilizing your expertise in artificial intelligence and machine learning to tackle intricate business challenges. We are looking for a proactive problem-solver with robust technical skills to contribute to our innovative projects. Your primary responsibilities will include designing, building, and optimizing machine learning models and algorithms for various applications like natural language processing, computer vision, recommendation systems, and predictive analytics. You will collaborate with data engineers to acquire and preprocess datasets, implement cutting-edge AI/ML algorithms, deploy models into production environments, and continuously enhance existing models for optimal performance and scalability. To excel in this role, you should hold a Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field. Proficiency in programming languages such as Python, R, or Java, along with experience in frameworks like TensorFlow, PyTorch, or scikit-learn, is essential. Your strong understanding of machine learning algorithms, deep learning architectures, and statistical methods will be crucial, as well as your ability to handle data preprocessing, feature engineering, and data visualization. Moreover, your familiarity with software development principles, version control, agile methodologies, and your problem-solving skills will be valuable assets. Excellent communication skills, both verbal and written, are required to effectively convey technical concepts to various stakeholders. A collaborative mindset and the ability to work well within a team environment are also essential for success in this role. If you are passionate about AI/ML development and meet the qualifications outlined above, we encourage you to apply now and become a part of our forward-thinking team at oCode Technologies. Please note that this is a full-time position with a salary range of 15,000.00 to 60,000.00 per month, and benefits include health insurance. The job location is in Mohali district, Punjab, and reliable commuting or planning to relocate before starting work is required. The ideal candidate should have at least 1 year of relevant work experience. Join us in leveraging AI/ML innovation to drive impactful solutions at oCode Technologies!,

Dear Candidate, Exciting Opportunity to Work with SAS, a Global Leader in Analytics! Techfer Global Pvt. Ltd. is currently looking for a Data Science Trainer to join our team in Mumbai. As a Data Science & Analytics Trainer, you will be responsible for providing training and mentoring to professionals in the field of data science, machine learning, and analytics. This is a unique opportunity to collaborate closely with SAS, one of the world's leading analytics companies. We are seeking a candidate with at least a Bachelor's degree in Mathematics, Statistics, Computer Applications, Engineering, or Data Science. A Master's or PhD in any of the above fields would be preferred. The ideal candidate should have a minimum of 10 years of experience in a similar role, with a strong focus on training or teaching Python, R, or SAS. Hands-on knowledge of Machine Learning and Data Science tools is essential, along with experience in Python, R, or SAS. While SAS experience is a plus, it is not mandatory. The candidate should be willing to travel for training assignments. We are looking for professionals who are passionate about analytics and education to join our team. If you meet the above requirements and are excited about this opportunity, we look forward to connecting with you soon. Best regards, Techfer Global Pvt. Ltd.,

Publicis Sapient is seeking a Principal Data Scientist to join its Data Science practice. In this role, you will act as a trusted advisor to clients, driving innovation in applied machine learning and statistical analysis. You will also lead efforts to enhance the group's capabilities for the future. Your responsibilities will include leading teams to develop data-driven solutions driven by learning algorithms, educating teams on problem-solving models in machine learning, and translating objectives into data-driven solutions. You will work with diverse data sets, cutting-edge technology, and witness your insights translating into tangible business results regularly. Your role will play a crucial part in integrating machine learning into core market offerings such as eCommerce, advertising, AdTech, and business transformation. You will also direct analyses to enhance the effectiveness of marketing tactics and collaborate with leaders in various Publicis Sapient divisions to ensure data-driven solutions are brought to the market. Key areas of focus will be customer segmentations, media and advertising optimization, recommender systems, fraud analytics, personalization, and forecasting. Your Impact: - Design and implement analytical models to support product and project objectives. - Research and innovate to develop next-generation solutions in digital marketing and customer experience. - Provide technical leadership and mentorship in data science. - Enhance machine learning operations platform for Generative AI in various industries. - Drive the application of machine learning in existing project disciplines. - Design experiments to measure changes in user experience. - Segment customers and markets for targeted messaging. - Direct research on analytics platforms to guide solutions. - Ensure solution and code quality through design and code reviews. - Establish standards in machine learning and statistical analysis for consistency and efficiency. - Assess client needs to adopt appropriate approaches for solving challenges. Qualifications: Your Skills & Experience: - Ph.D. in Computer Science, Math, Physics, Engineering, Statistics, or related field. - 15+ years of experience applying statistical learning methods in eCommerce and AdTech. - Proficiency in Gen AI tools and frameworks, LLM finetuning, and LLM ops. - Strong understanding of regression, classification, and cluster analysis approaches. - Proficiency in statistical programming with R, SAS, SPSS, MATLAB, or Python. - Expertise in Python, R, Scala, and SQL programming languages. Benefits of Working Here: - Access to regional benefits. - Gender-Neutral Policy. - 18 paid holidays per year. - Generous parental leave and new parent transition program. - Flexible work arrangements. - Employee Assistance Programs for wellness. Publicis Sapient is a digital transformation partner that helps organizations transition to a digitally enabled state. With a focus on strategy, consulting, customer experience, and agile engineering, the company aims to accelerate clients" businesses by designing products and services that customers truly value. Join a team of over 20,000 people worldwide who are united by core values and a purpose of helping people thrive in the pursuit of the next. Ideal candidates for this role will have experience in traditional AI and recent experience in Gen AI and Agentic AI. Organization, adaptability to change, and hands-on coding skills are highly valued.,

As an Assistant Manager - Analytics, you will play a crucial role in driving data-driven projects, designing complex data solutions, and providing valuable insights to stakeholders to contribute to the growth of our Ads product and business metrics. Your responsibilities will involve gaining deep insights into the Ads core product, leading large-scale experimentation on Adtech innovation, and forecasting demand-supply to drive growth in our Ads product and the complex Ads Entertainment business. You will be part of the Central Analytics team, which is integrated within various business and product teams in a matrix structure to provide comprehensive data insights that drive strategic decisions. This team acts as a strategic enabler for JioHotstar's Ads business and product functions by analyzing consumer experience, consumer supply, advertisers demand, and Ad serving capabilities to achieve goals and KPIs across Ads product, Advertisers objectives, and Entertainment business planning. The team focuses on leveraging experiments, applying GenAI for innovative problem-solving, and building analytical frameworks to guide key decisions and keep teams informed and focused. Reporting to the Manager - Product Analytics, your key responsibilities will include applying analytics knowledge and skills to problem-solving, generating quality data insights through reports, dashboards, and structured documentation, developing a deep understanding of the data platform and technology stack, utilizing statistical techniques to validate findings, effectively communicating complex data concepts, partnering with stakeholders to identify opportunities, managing projects end-to-end, and contributing data-driven insights in experiments to foster a culture of innovation and collaboration. To excel in this role, you should demonstrate expertise in predictive analysis with proficiency in R, SQL, Python, and Pyspark, familiarity with big data platforms and tools like Hadoop, Spark, and Hive, experience in dashboard building and data visualization using tools like Tableau and Power BI, advanced technical skills in collecting and disseminating information accurately, knowledge of digital analytics and clickstream data, strong communication skills for presenting insights clearly, a passion for the entertainment industry, and experience in Adtech and OTT platforms. The ideal candidate will have a Bachelor's or Master's degree in Engineering, Mathematics, Operational Research, Statistics, Physics, or a related technical discipline, along with 4-6 years of experience in Business/Product Analytics, preferably from consumer technology companies. Join us at JioStar, a global media & entertainment company that is revolutionizing the entertainment consumption experience for millions of viewers worldwide. We are committed to diversity and creating an inclusive workplace where everyone can thrive and contribute their unique perspectives.,

About the Role - Analyst, People Analytics We are seeking a detail-oriented and curious People Analytics Analyst to join our expanding People Team. In this role, you will be instrumental in utilizing data to influence people-related decisions across the organization. Collaborating closely with stakeholders in the People function, you will be responsible for delivering insights, creating reports, and enhancing our analytics capabilities. The ideal candidate will possess proficiency in Microsoft Excel and be adept at working with data pertaining to recruitment, attrition, workforce movements, and more. They should exhibit enthusiasm for transitioning to Power BI for scalable dashboarding and demonstrate a proactive approach to uncovering meaningful insights. Key Responsibilities - Develop and maintain both recurring and ad-hoc reports on people metrics such as attrition, hiring, tenure, and workforce changes. - Serve as the primary contact for reporting and insights within the People Team. - Translate business inquiries into structured data analyses and dashboards. - Uphold data quality, consistency, and cleanliness across systems and files. - Perform exploratory analysis and hypothesis testing to identify trends and underlying causes. - Aid in transitioning reports from Excel to Power BI with support as needed. - Manage calculated fields, data dictionaries, and change logs. - Identify opportunities to streamline, automate, and enhance analytics processes. Required Skills & Experience - Advanced proficiency in Microsoft Excel including formulas, pivots, structuring, and cleaning. - Exposure to Power BI or similar Business Intelligence tools with a willingness to learn. - 1-3 years of experience in data analysis, reporting, or HR analytics (including internships). - Strong analytical mindset with meticulous attention to detail. - Ability to effectively communicate insights and recommended actions. - Comfort working with confidential HR data while maintaining discretion. - Proactive, self-driven, and collaborative work approach. Nice to Have - Familiarity with HR systems such as SuccessFactors, Greenhouse, or Darwinbox. - Previous experience collaborating with HR/People team stakeholders. - Exposure to SQL, Python, or R (desirable but not mandatory). Join Us Today! Embark on a journey at the forefront of our transformation towards a data-intelligent People function, shaping how data informs talent decisions throughout our business. This role offers a unique opportunity to enhance your technical and functional skills, tackle real-world HR challenges, and contribute to shaping the future of people analytics at InMobi. InMobi Culture Here at InMobi, our culture is not just a buzzword but an ethos that resonates with every InMobian, showcasing our diverse backgrounds and experiences. We thrive on challenges, embrace growth opportunities, and are guided by our core values of thinking big, being passionate, showing accountability, and taking ownership with freedom. We are committed to nurturing your development through continuous learning and career progression with our InMobi Live Your Potential program. InMobi is an Equal Employment Opportunity employer and is dedicated to providing reasonable accommodations to qualified individuals with disabilities during the hiring process and in the workplace. For more insights into our benefits, values, and opportunities, kindly visit https://www.inmobi.com/company/careers.,

Evalueserve is a global leader in delivering innovative and sustainable solutions to a diverse range of clients, including over 30% of Fortune 500 companies. Operating in more than 45 countries across five continents, we leverage state-of-the-art technology, artificial intelligence, and unparalleled subject matter expertise to elevate our clients" business impact and strategic decision-making. With a team of over 4,500 talented professionals worldwide, we offer a dynamic, growth-oriented, and meritocracy-based culture that emphasizes continuous learning, skill development, work-life balance, and equal opportunity for all. Recognized by Great Place to Work in various countries, we provide a rewarding environment for individuals looking to make a significant impact. As a member of the Risk and Quant Solutions (RQS) team at Evalueserve, you will be part of one of the fastest-growing practices within the organization. Working with cutting-edge technology, you will address some of the world's largest financial needs and contribute to improving decision-making processes in the banking sector. Your responsibilities at Evalueserve will include leading and overseeing the development and implementation of Asset Liability Management (ALM) and Interest Rate Risk in the Banking Book (IRRBB) models for a bank. You will conduct advanced data analysis, collaborate with the model development team to enhance existing models, work directly with clients to provide tailored solutions in ALM and IRRBB management, and ensure timely completion of projects with a strong sense of urgency. Additionally, you will manage prototype source data migration, develop and deliver training programs, and contribute to strategic decision-making processes through your expertise. We are looking for individuals with a Bachelor's or Master's degree in business administration, finance, computer science, or related fields. The ideal candidate will have a deep understanding of ALM concepts, IRRBB, and Internal Liquidity Adequacy Assessment Process (ILAAP), as well as proficiency in statistical methods and tools such as logistic regression, Bayesian statistics, and time series analysis. Strong skills in Python and R, along with experience in developing models from scratch, are essential for this role. Effective communication, stakeholder management, and leadership skills are also key requirements. Please note that the job description provided is for informational purposes and may be subject to periodic modifications to align with evolving circumstances. Accuracy and authenticity in the information you provide are crucial for your candidacy, as they will be verified during the Background Verification Process. If you require any assistance, your Talent Acquisition Single Point of Contact (TA SPOC) is available to support you throughout the process.,

As the Senior Director of Marketing and Customer Analytics at Labcorp, you will play a pivotal role in shaping the company's marketing strategies and customer engagement initiatives using data-driven insights. Your responsibilities will include defining and executing Labcorp's long-term marketing analytics strategy, delivering actionable insights to enhance campaign planning and audience segmentation, and championing the use of AI tools for personalized customer engagement. Additionally, you will lead a high-performing team, collaborate with internal stakeholders, and support the development of audience segmentation and marketing measurement initiatives. You will be responsible for building and leading a team of marketing analysts and data scientists to drive global programs, while also creating a supportive and inspiring team culture. Your role will involve developing marketing analytics strategies, establishing key metrics for measuring marketing programs, and collaborating with various stakeholders to leverage data for informed decision-making. You will also lead efforts in campaign analytics, marketing performance, and team development, ensuring that Labcorp maximizes data utilization and drives business growth effectively. To succeed in this role, you should have at least 15 years of experience in analytics, with a proven track record of shaping and executing marketing data strategies in Fortune 500 settings. Strong leadership skills, expertise in advanced analytics and predictive modeling, and the ability to communicate complex analytical findings in a compelling manner are essential for this position. Additionally, experience with data architecture principles, data visualization tools, and proficiency in tools such as Python, R, SQL, Tableau, and Power BI will be beneficial. The ideal candidate for this role is a self-starter with a proactive mindset, capable of working independently as well as collaboratively in a team environment. You should possess strong project management skills, excellent interpersonal communication abilities, and a results-oriented approach to driving data-driven decisions. Prior experience in medical diagnostics, pharmaceutical R&D, or healthcare sectors, as well as a strong understanding of Martech data sources, will be advantageous. Labcorp is an Equal Opportunity Employer and encourages individuals from all backgrounds to apply for this position. If you require assistance due to a disability or need accommodation during the application process, please visit Labcorp Accessibility for support. Your privacy is important to us, and we adhere to strict guidelines for collecting and storing personal data.,

Role & responsibilities Job Description We are seeking a highly skilled Lead Data Scientist with experience in pricing optimization, pricing elasticity, and AWS SageMaker. The ideal candidate will have a strong foundation in Statistics and Machine Learning, with a particular focus on Bayesian modelling. As part of our Data Science team, you will work closely with clients to develop advanced pricing strategies using state-of-the-art tools and techniques, including AWS SageMaker, to optimize business outcomes. Key Responsibilities: Lead and contribute to the development of pricing optimization models, leveraging statistical and machine learning techniques to inform strategic decisions. Analyze pricing elasticity to predict consumer response to changes in price, helping clients maximize revenue and market share. Implement and deploy machine learning models using AWS SageMaker for scalable and efficient performance in a cloud environment. Utilize Bayesian modelling to support decision-making processes, providing insights into uncertainty and model predictions. Collaborate with cross-functional teams to integrate data-driven insights into business processes. Communicate complex results and findings in a clear and concise manner to both technical and non-technical stakeholders. Continuously explore and experiment with new modelling approaches and tools to improve accuracy and efficiency of pricing solutions. Qualifications Experience: 7+ Years Bachelors or master’s degree in data science, Statistics Mathematics Economics, or a related field. Advanced degrees preferred. 7+ years of hands-on experience in data science, with a focus on pricing optimization and elasticity modelling. Expertise in Bayesian modelling and machine learning techniques. Proven experience working with AWS SageMaker for model development, deployment, and monitoring. Familiarity with AWS Certified Data Analytics – Specialty certification is a plus. Strong programming skills in Python (preferred) or R. Experience with cloud platforms (AWS preferred), including SageMaker. Proficiency in statistical analysis tools and libraries (e.g., NumPy, Pandas, PyMC3, or similar) Excellent problem-solving and analytical thinking skills. Ability to work in a fast-paced environment and manage multiple projects. Strong communication skills with the ability to explain complex concepts to non-technical audiences. Preferred Qualifications: Experience with A/B testing, econometrics, or other statistical experimentation methods. Familiarity with other cloud computing platforms (e.g., Azure, GCP). Experience working in cross-functional teams and client-facing roles. Additional Information Opportunity to work with cutting-edge technology in a dynamic environment. Exposure to a diverse range of industries and projects. Collaborative and inclusive work culture with opportunities for growth and professional development.