263 Hypothesis Testing Jobs - Page 10

Engineer ML About the role The mission of the team is to transform terabytes of data into robust models for improving Network Experience and Customer Experience and reducing Operational Expenditure. Candidate will be required to understand the different Datasets being supplied from different sources and design a production grade big data architecture for Reporting and Analytics Platform. He will be involved in developing in-house algorithms as per Business Requirements. He will also be involved in vendor reviews of solution designs and related code on the principle of adherence to high-quality development principles while delivering solutions on time and on budget. Key Responsibilities Develop best quality software design and Big Data architecture for a Product that is being migrated to Big Data Platform from MYSQL based architecture. This product is spread across dimensions of big data, analytics, machine learning, graph problems, etc. The person is responsible to design and develop systems that use machine learning, or AI, to build models that can automate processes. They use data to create models, perform statistical analysis, and train systems to improve performance. Identify, prioritize and execute tasks in the software development life cycle. Develop tools and applications by producing clean, efficient code, automate tasks through appropriate tools and scripting. Review and debug code and perform validation and verification testing Collaborate with internal teams and external vendors to fix and improve current Architecture that helps to improve software development process and team productivity. Document development phases and monitor systems. Guide daily DevOps and ensure timely hardware expansions or architecture revamp. Provide statistical analysis to develop, test, and optimize databases to their full potential. Ensure software is up-to-date with latest technologies. Review Vendor Codes and solution designs for on-time deployment. Experience & Skills Must have experience in Machine Learning and experience in machine learning frameworks like TensorFlow or PyTorch. Knowledge of selected programming languages (e.g. Python, JAVA, Scala Python, C++) In-depth knowledge of relational databases (e.g. PostgreSQL, MySQL) and NoSQL databases (e.g. MongoDB or Hadoop) Hands-on experience working with Big Data technologies like Hadoop, MongodB, Hive, Pig, Oozie, Map Reduce, Spark, Sqoop, Kafka, Flume, etc. Extensive experience in software design, development and scripting. Experience with real-time streaming tools like Apache Kafka and NiFi is a plus. Has hands-on experience working with large volumes of data including different patterns of data ingestion, processing (batch & real-time), movement, storage and access (for both internal and external to BU) and is able to make independent decisions within scope of project. ( Spark, Kafka, Kstream/Flink) Very strong analytical skills with the demonstrated ability to research & make decisions based on the day-to-day and complex customer problems Understanding of HTTP and RESTful web services is a plus Experience with version control tools (SVN or Git). Educational Qualifications: Bachelor's or Master's Degree in Computer Science or related field; or equivalent related professional experience Work Experience: 1-7 years of total experience preferably in Big Data

Role Data Scientist LocationBangalore TimingsFull Time (As per company timings) Notice Period(Immediate Joiner Only) Experience5 Years We are looking for a highly motivated and skilled Data Scientist to join our growing team The ideal candidate should possess a robust background in data science, machine learning, and statistical analysis, with a passion for uncovering insights from complex datasets This role demands hands-on experience in Python and various ML libraries, strong business acumen, and effective communication skills for translating data insights into strategic decisions. Key Responsibilities Develop, implement, and optimize machine learning models for predictive analytics and business decision-making. Work with both structured and unstructured data to extract valuable insights and patterns. Leverage Python and standard ML libraries (NumPy, Pandas, SciPy, Scikit-Learn, TensorFlow, PyTorch, Keras, Matplotlib) for data modeling and analysis. Design and build data pipelines for streamlined data processing and integration. Conduct Exploratory Data Analysis (EDA) to identify trends, anomalies, and business opportunities. Partner with cross-functional teams to embed data-driven strategies into core business operations. Create compelling data stories through visualization techniques to convey findings to non-technical stakeholders. Stay abreast of the latest ML/AI innovations and industry best practices. Required Skills & Qualifications 5 years of proven experience in Data Scientist and machine learning. Proficient in Python and key data science libraries. Experience with ML frameworks such as TensorFlow, Keras, or PyTorch. Strong understanding of SQL and relational databases. Solid grounding in statistical analysis, hypothesis testing, and feature engineering. Familiarity with data visualization tools like Matplotlib, Seaborn, or Plotly. Demonstrated ability to work with large datasets and solve complex analytical problems. Excellent communication and data storytelling skills. Knowledge of Marketing Mix Modeling is a plus. Preferred Skills Hands-on experience with cloud platforms like AWS, Azure, or GCP. Exposure to big data technologies such as Hadoop, Spark, or Databricks. Familiarity with NLP, computer vision, or deep learning. Understanding of A/B testing and experimental design methodologies. Show more Show less

Hybrid - Bengaluru Full time Permanent Position Must have skills required : SQL, product metrics, Data-Driven, Analytical Skills, Hypothesis testing, data-backed goals Good to have skills : Python, B2B SaaS, Data Engineering Read about the release here: Were on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. Role Overview: We are seeking a Product Analyst to take ownership of key metrics, reporting, and experimentation within Nanonets. Working directly with our founders, this role involves goal setting, tracking, and prioritizing features based on metrics-driven insights. As a Product Analyst, youll be critical to helping teams set data-informed goals, clarifying the key metrics that drive success, and enabling a hypothesis-driven approach to product development. Key Responsibilities Metrics Ownership: Manage and report on company metrics, setting measurable goals and tracking progress against them. Outcome Definition: Help teams define data-backed goals and establish measurable outcomes, ensuring efforts align with strategic company objectives. Input Metrics Clarity: Identify and communicate the key levers that drive output metrics, providing teams with actionable insights. Hypothesis-Driven Development: Build systems that support hypothesis testing through product features, creating, running, and measuring A/B tests and experiments to validate customer behavior hypotheses. Product Development Optimization: Partner with product teams to establish high-quality goals, focus on the most impactful metrics, and support agile development based on data-driven decision-making. What Were Looking For Education : Bachelors degree preferable from a Tier 1 college. 2- 4 years of relevant experience, such as Data Analyst or Product Analyst, ideally within a B2B SaaS company. Technical Skills : Proficiency in SQL (required). Strong analytical skills and understanding of key product metrics. Willingness to learn Python and enhance data engineering skills. Robust product sense, with the ability to interpret and act on data for feature prioritization. Mindset : Curious, experiment-driven, and eager to tackle complex product challenges through data. Comfortable scrapping or iterating on underperforming features based on data.

We are seeking Data Analysts to be part of our GSS DaaS team who will support Uber s internal Operations teams across the globe and drive the analysis behind various business-related decisions. You will work along with the Program Managers and the Client team to put together processes and deliver on the requirements. For this role you need to be comfortable with numbers, good with logical reasoning and generating insights. What the Candidate Will Need / Bonus Points You will perform a range of activities to analyze Uber s Delivery, Mobility Core Services data sources to improve business efficiency effectiveness and deliver qualitative insights as well as partnering with Operations teams to build analytics solutions. The ideal candidate is experienced working with large data sets and data visualization, as well as being passionate about data and analytics. The following describes what you may be doing day-to-day: Embed within Uber s Ops team and develop expertise around all aspects of their data Deep dive into historical data to understand their sources, feature sets and identify patterns Write queries, perform ad-hoc analysis and create reporting to ensure the team is moving towards smarter decisions Perform analytical deep dives to drive product/strategy road-map Build interactive and visually appealing dashboards using data visualization tools such as Tableau, or Looker. Translate analytical solutions into useful insights and recommendations for the technical and non-technical audience in a clear, concise and persuasive way Get pumped up by deciphering huge data sets and cutting through irrelevant distractions to get to the heart of the core data questions Attention to detail, accuracy is a must! Humble and scrappy - not afraid to take on lower level projects when it will clear roadblocks for the team Demonstrate good documentation practices and able to meet deadlines Basic Qualifications Minimum 3 years experience working in business intelligence, analytics, data engineering, or a similar role Ability to write complex SQL queries including experience working with large data sets and Hive database Ability to code in Python for setting up Automations Data pipelining / ETL experience Fluency in communicating data insights (Methods, Results Actions) with the peer group Team player and able to multitask Ability to work with remote teams and within the Australia time zone Able to raise the bar for quality/efficiency within the team Preferred Qualifications BS / Masters in Maths, statistics, science or any other quantitative discipline Expertise in Statistical Data Analysis and Hypothesis Testing *Accommodations may be available based on religious and/or medical conditions, or as required by applicable law.

Technical Skills: Advanced proficiency in Python . Extensive experience with LLM frameworks (Hugging Face Transformers, LangChain) and prompt engineering techniques Experience with big data processing using Spark for large-scale data analytics Version control and experiment tracking using Git and MLflow Software Engineering & Development: Advanced proficiency in Python, familiarity with Go or Rust, expertise in microservices, test-driven development, and concurrency processing. DevOps & Infrastructure: Experience with Infrastructure as Code (Terraform, CloudFormation), CI/CD pipelines (GitHub Actions, Jenkins), and container orchestration (Kubernetes) with Helm and service mesh implementations. LLM Infrastructure & Deployment: Proficiency in LLM serving platforms such as vLLM and FastAPI, model quantization techniques, and vector database management. MLOps & Deployment: Utilization of containerization strategies for ML workloads, experience with model serving tools like TorchServe or TF Serving, and automated model retraining. Cloud & Infrastructure: Strong grasp of advanced cloud services (AWS, GCP, Azure) and network security for ML systems. LLM Project Experience: Expertise in developing chatbots, recommendation systems, translation services, and optimizing LLMs for performance and security. General Skills: Python, SQL, knowledge of machine learning frameworks (Hugging Face, TensorFlow, PyTorch), and experience with cloud platforms like AWS or GCP. Experience in creating LLD for the provided architecture. Experience working in Microservices based architecture Domain Expertise: Strong mathematical foundation in statistics, probability, linear algebra, and optimization Deep understanding of ML and LLM development lifecycle, including fine-tuning and evaluation Expertise in feature engineering, embedding optimization, and dimensionality reduction Advanced knowledge of A/B testing, experimental design, and statistical hypothesis testing Experience with RAG systems, vector databases, and semantic search implementation Proficiency in LLM optimization techniques including quantization and knowledge distillation Understanding of MLOps practices for model deployment and monitoring Professional Competencies: Strong analytical thinking with ability to solve complex ML challenges Excellent communication skills for presenting technical findings to diverse audiences Experience translating business requirements into data science solutions Project management skills for coordinating ML experiments and deployments Strong collaboration abilities for working with cross-functional teams Dedication to staying current with latest ML research and best practices Must Have : Microservices LLM, Python, FastAPI, Vector DB(Qdrant, Chromadb, stc), RAG, MLOps & Deployment, Cloud, Agentic AI Framework, Kubernetes, Architecture & Design Secondary Skills - Data science, ML and NLP Required Skills Artificial Intelligence,Machine Learning,Data Analysis

Key responsibilities Work closely with the broader team do define and execute EDA road map Integrated solution for business based on data driven insights and strategies. Perform advance Statistical and Machine learning modelling exercise to develop descriptive/ predictive/ prescriptive models Perform data visualization and reporting for effective communication of insights generated by modelling exercises Develop basic database queries for data extraction Ability to communicate models and analysis in a clear and precise manner. Promote new learning and technique in the field of Data Science and its application in Insurance. Perform peer reviews and ideation sessions. Experience & Qualifications Bachelor and/or Masters in Statistics/Economics/Operations Research from Tier 1 colleges. Experience of 7-10 years of data science experience with alteast 4-6 years of experience in life insurance experience in model development, validation, and implementation with atleast 4 years of Insurance Experience Hands-on experience with R and/or Python for hypothesis testing, statistical modelling and Machine learning. Actuarial Exams is a plus Proven track record on algorithm development for business problems. Understanding of common algorithms like GLM, Decision Trees, Random Forests, XGBoost and Time Series Excellent communication and interpersonal skills, with the ability to explain complex algorithms to nontechnical stakeholders.

Experience Range : 5 - 10+ Year's Work Location : Bangalore Must Have Skills : Pandas, Hypothesis testing, A/Btesting, feature engineering, statistical analysis, Machine Learning, NumPy, Python, SQL Good To Have Skills : Databricks Job Description : Develop, implement, and optimize machine learning models for predictive analytics and decision-making. Work with structured and unstructured data to extract meaningful insights and patterns. Utilize Python and standard data science libraries such as NumPy, Pandas, SciPy, Scikit-Learn, TensorFlow, PyTorch, and Matplotlib for data analysis and model building. Design and develop data pipelines for efficient processing and analysis. Conduct exploratory data analysis (EDA) to identify trends and anomalies. Collaborate with cross-functional teams to integrate data-driven solutions into business strategies. Use data visualization and storytelling techniques to communicate complex findings to non-technical stakeholders. Stay updated with the latest advancements in machine learning and AI technologies. Required Qualifications 5 years of hands-on experience in data science and machine learning. Strong proficiency in Python and relevant data science packages. Experience with machine learning frameworks such as TensorFlow, Keras, or PyTorch. Knowledge of SQL and database management for data extraction and manipulation. Expertise in statistical analysis, hypothesis testing, and feature engineering . Understanding of Marketing Mix Modeling is a plus. Experience in data visualization tools such as Matplotlib, Seaborn, or Plotly package Strong problem-solving skills and ability to work with large datasets. Excellent communication skills with a knack for storytelling using data. Preferred Qualifications Experience with cloud platforms such as AWS, Azure, or GCP. Knowledge of big data technologies like Hadoop, Spark, or Databricks. Exposure to NLP, computer vision, or deep learning techniques. Understanding of A/B testing and experimental design .

Department : Business Analytics Job Overview: We are seeking a talented R Analytics to join our analytics team. The ideal candidate will possess a strong background in data analysis, statistical modeling, and proficiency in the R programming language. You will be responsible for analyzing complex datasets, providing insights, and developing statistical models to support business decisions. Key Responsibilities: Utilize R programming to analyze large and complex datasets, performing data cleaning, transformation, and analysis. Develop and implement statistical models (regression, time series, classification, etc.) to provide actionable insights. Conduct exploratory data analysis (EDA) to identify trends, patterns, and anomalies. Visualize data through plots, charts, and dashboards to effectively communicate results to stakeholders. Collaborate with cross-functional teams to define business problems and develop analytical solutions. Build and maintain R scripts and automation workflows for repetitive tasks and analysis. Stay updated with the latest developments in R packages and data science techniques. Present findings and insights to stakeholders through clear, concise reports and presentations. Qualifications : Bachelor's/Master's degree in Statistics, Mathematics, Data Science, Computer Science, or a related field. at least the last 2-5 years in a senior role specifically focusing on R Language, R Studio, and SQL. Strong knowledge of statistical techniques (regression, clustering, hypothesis testing, etc.). Experience with data visualization tools like ggplot2, shiny, or plotly. Familiarity with SQL and database management systems. Knowledge of machine learning algorithms and their implementation in R. Ability to interpret complex data and communicate insights clearly to non-technical stakeholders. Strong problem-solving skills and attention to detail. Familiarity with version control tools like Git is a plus.

Join the leader in entertainment innovation and help us design the future At Dolby, science meets art, and high tech means more than computer code As a member of the Dolby team, youll see and hear the results of your work everywhere, from movie theaters to smartphones We continue to revolutionize how people create, deliver, and enjoy entertainment worldwide To do that, we need the absolute best talent, This is an opportunity to play a key role in Dolby's new R&D Center in Bangalore as a Research Lead in our Advanced Technology Group "ATG", the research and technology arm of Dolby Labs With multiple competencies that innovate on technologies in audio, video, AR/VR, gaming, music, broadcast and user-generated content, areas of expertise related to computer science and electrical engineering, such as AI/ML, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, natural language processing, social network analysis, and computer graphics are highly relevant to our research, What Youll Do As a Research Lead within Dolby ATG research, you will focus on three key areas of expertise: State-of the art, cutting edge, hands-on research: As a researcher, you will invent and develop the next generation of AI based multimodal image, audio, and speech technologies, With an in-depth understanding of the latest AI technologies and a good understanding of audio/video technologies, you will explore the applications of AI to the delivery, analysis, and creation of multimedia technologies including video and audio enhancement, analysis, classification, and separation You will create technologies for the next generation of Dolbys offerings, Managing, nurturing, and grooming top research talent: You will lead and mentor a group of AI researchers working in the application of AI to multimodal analysis, processing, playback, and enhancement technologies You will work with your team as a coach and mentor You are passionate about developing junior, highly talented staff into researchers that work fully independently in a corporate environment, Contribute to developing a dynamic, flexible, transparent, results-oriented and innovative working atmosphere, Technology strategy and direction setting: You will define and lead research initiatives that leverage cross-media intelligence and analytics, invent multimodal machine learning algorithms, and utilize a deep understanding of multimodal perception to develop the next generation of multimedia technologies, Jointly with Dolbys world-class global research teams, you will set directions, identify projects, and build the next wave of AI based technologies driving Dolbys cloud and licensing business, You work with ATG technology leaders to co-define projects and assign your staff to global R&D initiatives led by other technology initiative leads Work jointly with upper management, lead resource and work allocation, You will also work with Dolbys Business Groups (BG) to bring the research to life in many products, working closely with product managers, program managers, and BG engineering teams worldwide, Education And Desired Experience D You are an absolute top expert in AI with a deep and thorough theoretical understanding of the latest state-of the art AI technologies You have a detailed understanding of all main network architectures, deployment modes, data augmentation and preparation, and theoretical performance analysis of model architectures Knowledge of NLP and/or multi-modal architectures is highly desired You have a good understanding of Diffusion, autoregressive, or other generative models, Self-supervised, contrastive learning, auto-encoders, Audio, image, or text applications Source separation, text-to-speech, music synthesis, image segmentation, image captioning, question answering, language models, etc Multimodal architectures and algorithms, You have a track record of successfully applying AI technologies to multimodal problems including the combination of audio and video technologies, You have deep knowledge of GPU/CPU implementations, algorithm validation and testing, implementation of ML/AI algorithms, Strong track of inventing, developing and productizing novel AI based technologies in an industrial research environment, Strong publication record, with publications in major machine learning conferences (e-g NeurIPS, ICLR, ICML, etc ), Strong background in statistical signal processing, decision theory, greedy algorithms, Bayesian modelling, random algorithms, time series, hypothesis testing, classification, clustering, hypothesis testing and multilinear regression analysis, Experience with audio and video processing is a plus, Highly skilled in C/C++, Python, TensorFlow or PyTorch, Experience in managing, guiding and mentoring younger researchers, Team-oriented work ethic and interest to work in cross-continental teams, Excellent communication, collaboration, and presentation skills in English, All official communication regarding employment opportunities at Dolby will come from an official dolby email address We will never request payment as part of the hiring process If you receive a suspicious message, please verify its authenticity before responding

As the Lead Data Scientist at Siemens Advanta, you will play a pivotal role in driving data-driven decision-making and leading the development and implementation of advanced analytical models. You will work closely with cross-functional teams to identify business challenges, design data-driven solutions, and provide actionable insights to optimize processes and drive innovation. We are looking for: Lead AI Engineer Youll make a difference by: Lead and manage a team of data scientists, providing guidance, mentorship, and technical expertise. Collaborate with stakeholders to understand business objectives and develop data science strategies aligned with those objectives. Design, develop, and implement advanced machine learning and statistical models to solve complex business problems. Conduct exploratory data analysis, data cleansing, and feature engineering to prepare datasets for analysis. Explore and utilize various data mining and machine learning techniques to extract valuable insights and patterns from large datasets. Develop predictive/prescriptive models, algorithms, and prototypes to support business. Should have working knowledge of handling IOT and IIOT data and handling traditional use cases like anomaly detection for a multi-sensor system. Should have hands-on experience in Forecasting using traditional ML and Deep Networks Perform statistical analysis, hypothesis testing, and A/B testing to evaluate the effectiveness of models and algorithms. Communicate findings and insights to technical and non-technical stakeholders through reports, presentations, and data visualizations. Should understand CI/CD processes in product deployment and used it in delivery. Should have an understanding of the Dockerization, REST APIs Working knowledge on software development processes. Stay up to date with the latest trends and advancements in data science, machine learning, and AI technologies and identify opportunities to apply them to improve business outcomes. Youll win us over by 8+ years of experience in data science and/or data analysis with a proven track record of developing ML models and algorithms. A masters or Ph.D. degree in Data Science, Computer Science, Statistics, or a related field Strong programming skills in languages such as Python, R, or C++. Exposure to the industrial engineering domain is preferred. Knowledge of big data technologies such as Hadoop, Spark, or Hive is a plus. Proficient in the use of data science tools Excellent analytical/statistical skills. Proactive and willing to learn new technologies. Excellent verbal, written and presentation skills.

Entity :- Accenture Strategy & Consulting Team :- Global Network- Data & AI Practice :- Life Sciences Title :- Ind & Func AI Decision Science Consultant Job Location :- Gurgaon, Mumbai, Bangalore About Strategy & Consulting Global Network :- Accenture S&C Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. WHAT'S IN IT FOR YOU? An opportunity to work on high-visibility projects with top Pharma clients around the globe. Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners, and business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everything-from how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. Opportunity to thrive in a culture that is committed to accelerating equality for all. Engage in boundaryless collaboration across the entire organization. Qualifications What you would do in this role Support delivery of small to medium-sized teams to deliver consulting projects for global clients. Responsibilities may include strategy, implementation, process design, and change management for specific modules. Work with the team or as an Individual contributor on the project assigned which includes a variety of skills to be utilized from Data Engineering to Data Science Provide Subject matter expertise in various sub-segments of the LS industry. Develop assets and methodologies, point-of-view, research, or white papers for use by the team and the larger community. Acquire new skills that have utility across industry groups. Support strategies and operating models focused on some business units and assess likely competitive responses. Also, assess implementation readiness and points of greatest impact. Co-lead proposals, and business development efforts and coordinate with other colleagues to create consensus-driven deliverables. Execute a transformational change plan aligned with the client's business strategy and context for change. Engage stakeholders in the change journey and build commitment to change. Make presentations wherever required to a known audience or client on functional aspects of his or her domain. Who are we looking for? Bachelor's or Master's degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field. Proven experience (4+ years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes. Excellent understanding of Pharma data sets- commercial, clinical, RWE (Real World Evidence) & EMR (Electronic medical records) Leverage one's hands on experience of working across one or more of these areas such as real-world evidence data, R&D clinical data, digital marketing data. Hands-on experience with handling Datasets like Komodo, RAVE, IQVIA, Truven, Optum etc. Hands-on experience in building and deployment of Statistical Models/Machine Learning including Segmentation & predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization. Proficiency in Programming languages such as R, Python, SQL, Spark, etc. Ability to work with large data sets and present findings/insights to key stakeholders; Data management using databases like SQL. Experience with any of the cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models. Experience with any of the Data Visualization tools like Tableau, Power BI, Qlikview, Spotfire is good to have. Excellent analytical and problem-solving skills, with a data-driven mindset. Proficient in Excel, MS Word, PowerPoint, etc. Ability to solve complex business problems and deliver client delight. Strong writing skills to build points of view on current industry trends. Good communication, interpersonal, and presentation skills Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

Entity :- Accenture Strategy & Consulting Team :- Global Network Data & AI Practice :- Life Sciences Title :- Ind & Func AI Decision Science Consultant Job Location :- Gurgaon, Mumbai, Bangalore About Strategy & Consulting Global Network :- Accenture S&C Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. WHAT'S IN IT FOR YOU? An opportunity to work on high-visibility projects with top Pharma clients around the globe. Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners, and business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everything"from how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. Opportunity to thrive in a culture that is committed to accelerating equality for all. Engage in boundaryless collaboration across the entire organization. Qualifications What you would do in this role Support delivery of small to medium-sized teams to deliver consulting projects for global clients. Responsibilities may include strategy, implementation, process design, and change management for specific modules. Work with the team or as an Individual contributor on the project assigned which includes a variety of skills to be utilized from Data Engineering to Data Science Provide Subject matter expertise in various sub-segments of the LS industry. Develop assets and methodologies, point-of-view, research, or white papers for use by the team and the larger community. Acquire new skills that have utility across industry groups. Support strategies and operating models focused on some business units and assess likely competitive responses. Also, assess implementation readiness and points of greatest impact. Co-lead proposals, and business development efforts and coordinate with other colleagues to create consensus-driven deliverables. Execute a transformational change plan aligned with the clients business strategy and context for change. Engage stakeholders in the change journey and build commitment to change. Make presentations wherever required to a known audience or client on functional aspects of his or her domain. Who are we looking for? Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field. Proven experience (4+ years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes. Excellent understanding of Pharma data sets commercial, clinical, RWE (Real World Evidence) & EMR (Electronic medical records) Leverage ones hands on experience of working across one or more of these areas such as real-world evidence data, R&D clinical data, digital marketing data. Hands-on experience with handling Datasets like Komodo, RAVE, IQVIA, Truven, Optum etc. Hands-on experience in building and deployment of Statistical Models/Machine Learning including Segmentation & predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization. Proficiency in Programming languages such as R, Python, SQL, Spark, etc. Ability to work with large data sets and present findings/insights to key stakeholders; Data management using databases like SQL. Experience with any of the cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models. Experience with any of the Data Visualization tools like Tableau, Power BI, Qlikview, Spotfire is good to have. Excellent analytical and problem-solving skills, with a data-driven mindset. Proficient in Excel, MS Word, PowerPoint, etc. Ability to solve complex business problems and deliver client delight. Strong writing skills to build points of view on current industry trends. Good communication, interpersonal, and presentation skills

Entity :- Accenture Strategy & Consulting Team :- Global Network Data & AI Practice :- Life Sciences Title :- Ind & Func AI Decision Science Consultant Job Location :- Gurgaon, Mumbai, Bangalore About Strategy & Consulting Global Network :- Accenture S&C Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. WHAT'S IN IT FOR YOU? An opportunity to work on high-visibility projects with top Pharma clients around the globe. Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners, and business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everything"from how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. Opportunity to thrive in a culture that is committed to accelerating equality for all. Engage in boundaryless collaboration across the entire organization. Qualifications What you would do in this role Support delivery of small to medium-sized teams to deliver consulting projects for global clients. Responsibilities may include strategy, implementation, process design, and change management for specific modules. Work with the team or as an Individual contributor on the project assigned which includes a variety of skills to be utilized from Data Engineering to Data Science Provide Subject matter expertise in various sub-segments of the LS industry. Develop assets and methodologies, point-of-view, research, or white papers for use by the team and the larger community. Acquire new skills that have utility across industry groups. Support strategies and operating models focused on some business units and assess likely competitive responses. Also, assess implementation readiness and points of greatest impact. Co-lead proposals, and business development efforts and coordinate with other colleagues to create consensus-driven deliverables. Execute a transformational change plan aligned with the clients business strategy and context for change. Engage stakeholders in the change journey and build commitment to change. Make presentations wherever required to a known audience or client on functional aspects of his or her domain. Who are we looking for? Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field. Proven experience (4+ years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes. Excellent understanding of Pharma data sets commercial, clinical, RWE (Real World Evidence) & EMR (Electronic medical records) Leverage ones hands on experience of working across one or more of these areas such as real-world evidence data, R&D clinical data, digital marketing data. Hands-on experience with handling Datasets like Komodo, RAVE, IQVIA, Truven, Optum etc. Hands-on experience in building and deployment of Statistical Models/Machine Learning including Segmentation & predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization. Proficiency in Programming languages such as R, Python, SQL, Spark, etc. Ability to work with large data sets and present findings/insights to key stakeholders; Data management using databases like SQL. Experience with any of the cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models. Experience with any of the Data Visualization tools like Tableau, Power BI, Qlikview, Spotfire is good to have. Excellent analytical and problem-solving skills, with a data-driven mindset. Proficient in Excel, MS Word, PowerPoint, etc. Ability to solve complex business problems and deliver client delight. Strong writing skills to build points of view on current industry trends. Good communication, interpersonal, and presentation skills Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

Entity :- Accenture Strategy & Consulting Team :- Global Network Data & AI Practice :- Life Sciences Title :- Ind & Func AI Decision Science Consultant Job Location :- Gurgaon, Mumbai, Bangalore About Strategy & Consulting Global Network :- Accenture S&C Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. WHAT'S IN IT FOR YOU? An opportunity to work on high-visibility projects with top Pharma clients around the globe. Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners, and business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everything"from how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. Opportunity to thrive in a culture that is committed to accelerating equality for all. Engage in boundaryless collaboration across the entire organization. Qualifications What you would do in this role Support delivery of small to medium-sized teams to deliver consulting projects for global clients. Responsibilities may include strategy, implementation, process design, and change management for specific modules. Work with the team or as an Individual contributor on the project assigned which includes a variety of skills to be utilized from Data Engineering to Data Science Provide Subject matter expertise in various sub-segments of the LS industry. Develop assets and methodologies, point-of-view, research, or white papers for use by the team and the larger community. Acquire new skills that have utility across industry groups. Support strategies and operating models focused on some business units and assess likely competitive responses. Also, assess implementation readiness and points of greatest impact. Co-lead proposals, and business development efforts and coordinate with other colleagues to create consensus-driven deliverables. Execute a transformational change plan aligned with the clients business strategy and context for change. Engage stakeholders in the change journey and build commitment to change. Make presentations wherever required to a known audience or client on functional aspects of his or her domain. Who are we looking for? Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field. Proven experience (4+ years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes. Excellent understanding of Pharma data sets commercial, clinical, RWE (Real World Evidence) & EMR (Electronic medical records) Leverage ones hands on experience of working across one or more of these areas such as real-world evidence data, R&D clinical data, digital marketing data. Hands-on experience with handling Datasets like Komodo, RAVE, IQVIA, Truven, Optum etc. Hands-on experience in building and deployment of Statistical Models/Machine Learning including Segmentation & predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization. Proficiency in Programming languages such as R, Python, SQL, Spark, etc. Ability to work with large data sets and present findings/insights to key stakeholders; Data management using databases like SQL. Experience with any of the cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models. Experience with any of the Data Visualization tools like Tableau, Power BI, Qlikview, Spotfire is good to have. Excellent analytical and problem-solving skills, with a data-driven mindset. Proficient in Excel, MS Word, PowerPoint, etc. Ability to solve complex business problems and deliver client delight. Strong writing skills to build points of view on current industry trends. Good communication, interpersonal, and presentation skills Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

OUR STORY Quince was started to challenge the existing idea that nice things should cost a lot. Our mission was simple: create an item of equal or greater quality than the leading luxury brands and sell them at a much lower price. OUR VALUES Customer First. Customer satisfaction is our highest priority. High Quality. True quality is a combination of premium materials and high production standards that everyone can feel good about. Essential design. We don t chase trends, and we don t sell everything. We re expert curators that find the very best and bring it to you at the lowest prices. Always a better deal. Through innovation and real price transparency we want to offer the best deal to both our customers and our factory partners. Environmentally and Socially conscious. We re committed to sustainable materials and sustainable production methods. That means a cleaner environment and fair wages for factory workers. OUR TEAM AND SUCCESS Quince is a retail and technology company co-founded by a team that has extensive experience in retail, technology and building early stage companies. You ll work with a team of world-class talent from Stanford GSB, Google, D.E. Shaw, Stitch Fix, Urban Outfitters, Wayfair, McKinsey, Nike etc. THE IDEAL CANDIDATE: As Senior Data Analyst, you will provide insights through the analysis of the vast amount of data captured by Quince. You will develop actionable strategies that will help us create best-in-class buyer experience, and help us allocate marketing resources to activities that yield the best results. The successful candidate will possess a passion for innovative analysis, processes that scale, and the tenacity to develop findings and recommendations that transcend the numbers. RESPONSIBILITIES: Perform comprehensive analysis of eCommerce metrics (e.g., traffic, site performance, email capture, conversion funnel, cross-sale/up sale, user engagement, etc.) to make recommendations and strategies for improvement Systematically analyze funnel across categories/franchises, assortment, landing pages, traffic sources (marketing platforms and campaigns) and make actionable recommendations for improvement with an intent of developing automation solution Serve as business owner of marketing and and web analytics data, Identify gaps in current data capture strategy to create an improvements roadmap that can support future digital product roadmap effectively. Utilize data insights to inform the development of A/B and multivariate tests (including developing a hypothesis, influencing creativity, identifying success metrics, and analysis) that drive improvement of key website, mobile, and customer metrics. Assist in prioritizing tests based on their size of the business impact Ad hoc issue investigation and quantification of business impact Create and maintain daily, weekly, and monthly e-commerce reports and dashboards, tracking key metrics and flagging any trends or performance issues. REQUIREMENTS: An undergraduate degree in a quantitative discipline (Economics, Statistics, Engineering, Applied Mathematics) 4-6 years of professional experience in online marketing, e-commerce, or equivalent role with an analytical bend, preference to ecommerce web analytics experience, and prior consulting experience Ability to conceptualize business problems and solving them through data analysis Excellent written and oral communication skills, including an ability to communicate across business areas Ability to prioritize and delivery on multiple threads of work in a fast-paced environment Proficient in basic hypothesis testing framework and comfortable using statistics basic in all data analysis Strong personal work ethic, including personal initiative and ownership Preferable background in marketing analytics

Job Responsibilities- Create and validate analytical datasets using on real-world data sources (e.g., claims data, electronic health records) based on study protocols and inclusion/exclusion criteria. Conduct descriptive and inferential statistical analyses (e.g., hypothesis testing, regression modelling, survival analysis) Develop and validate statistical algorithms for advanced data analyses (e.g., propensity score matching, machine learning) Contribute to the development of study protocols, statistical analysis plans, abstracts/posters, manuscripts, and study reports. Collaborate with cross-functional teams (e.g., epidemiologists, clinicians, biostatisticians) to design and execute RWE studies.

Position Overview: About this role: This role will provide critical insights from our A/B Testing program to business partners. You will also have your fingers on the pulse of the business and develop metrics and reporting to keep the organization informed. Through your high-quality analysis and attention to detail, you will be the go-to person for experimentation(A/B test) analytics and insights. The ideal candidate is highly motivated and will use their technical skills and business acumen to quickly make an impact! About this Team: Analytics team is responsible for generating actionable insights & analyses for the business, AB testing, data driven decision making and supporting Product, Marketing & Finance teams to create significant impact for our users & business. We also work very closely with Business Intelligence, Data Engineering & Software Engineering teams to advance our data infrastructure. We have a cutting edge AB Testing program, automations and advanced data tools to deliver high quality analyses very efficiently. Company Overview: BOLD is an established and fast-growing product company that transforms work lives. Since 2005, weve helped more than 10,000,000 folks from all over America (and beyond!) reach higher and do better. A career at BOLD promises great challenges, opportunities, culture and the environment. With our headquarters in Puerto Rico and offices in San Francisco and India, were a global organization on a path to change the career industry. Key Responsibilities: Conduct in-depth A/B test analysis to uncover opportunities for improving our products. Ensure data quality/accuracy in our A/B test reports. Develop new A/B Test reports and improve the existing ones. Present your A/B Test insights and recommendations to business leaders. Provide support to other analysts in their A/B test analysis/insights. Required skills: 2+ years’ experience performing quantitative data analysis on A/B tests, preferably for an internet or technology company. Expertise in managing large Google Sheets (querying, other advanced aspects). Excellent written and verbal communication skills, especially around complex project areas. Impeccable attention to detail and data accuracy Ability to write complex SQL queries to drive critical business decisions and reports. Robust understanding of Statistics with ability to explain statistical concepts to non-technical audiences. Bachelors or Masters’ degree in Math, Engineering, Statistics or other quantitative field, with a track record of academic excellence. Self-starter with a desire to learn and the ability to rapidly understand the business and its drivers. Ability to handle multiple projects and meet deadlines in a fast-paced environment. Additional skills (Good to have): Proficiency with BI tools such as Tableau, Looker, or equivalent. Proficiency in Python/R. Experience with Google Analytics, MixPanel or other front-end analytical platforms. Experience with building machine learning/predictive models. Qualifications: Engineering/ Master’s Degree from a good Institute (preferably Computer Science or related) Experience required: Product Data Analyst: 2 years+ of experience performing quantitative data analysis on A/B Tests Location: Noida (Hybrid working model)

Job Summary This role could be based in India or Poland. When you start the application process you will be presented with a drop down menu showing all countries, please ensure that you only select a country where the role is based The role-holder is responsible for the following: Operational Risk Capital and Stress Loss Modelling: Support, formulate, maintain, own, and exercise the models for calculating OR (which includes other non-financial risk capital) capital and stress loss forecasts Support best practice methodology, standards, and approach for capital and stress loss assessment Support the subject matter expert for model risk as related to all OR models and provide a point of control over the aggregate level of operational risk that arises from model risk, including the design of effective controls Support the modelling input into Group s OR ICAAP submission Be responsible for liaising with group model validation to validate all OR models and be the SME to answer all model related questions. Support the SME in driving quality input into all relevant internal development and changes in Operational Risk capital, including methodology, measurement, and any other areas requiring further development Ensure GOR regulatory capital framework follows regulatory standards and requirements (esp CRR), develop controls, and provide assurance of regulatory compliance to CRR Support the methodology for allocation Operational Risk capital to appropriate segments/ countries to facilitate risk / reward and prioritisation decisions Support the Group in establishing the framework and foundation for more sophisticated stress testing models. Be single point of contact to maintain country stress loss model and provide SME guidance to all country modelling related queries Governance: Support appropriate governance and routines (committees, forums and other) to support the Groups mandate. Key Responsibilities Strategy Drive the modelling input into Group s OR ICAAP submission Business Own and maintain the capital allocation to business models Be the model champion to educate, socialise and embed capital allocation model to business Processes Be responsible for liaising with group model validation to validate all OR models and be the SME to answer all model related questions. Drive quality input into all relevant internal development and changes in Operational Risk capital, including methodology, measurement, and any other areas requiring further development Be the subject matter expert for model risk as related to all OR models and provide a point of control over the aggregate level of operational risk that arises from model risk, including the design of effective controls Risk Management Drive best practice methodology, standards, and approach for capital and stress loss assessment Define, formulate, maintain, own, and exercise the models for calculating OR (which includes other non-financial risk capital) capital and stress loss forecasts Governance Support appropriate governance and routines (committees, forums and other) to support the Groups mandate. Regulatory & Business Conduct Display exemplary conduct and live by the Group s Values and Code of Conduct. Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct. Lead the [Operational Risk modelling deliverable to achieve the outcomes set out in the Bank s Conduct Principles: [Fair Outcomes for Clients; Effective Financial Markets; Financial Crime Compliance; The Right Environment. ] Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters. Key stakeholders Global Head of Operational Risk Global Head of Risk, Functions & Operational Risk Head, Operational Risk Stress Testing and Risk Appetite Head of Model Risk Management Head, Model Validation, Non-Financial Risk⊧ Heads of Business Lines Skills and Experience Modelling: Subject Matter Expert knowledge in operational risk modelling including use of Extreme Value Theory analysis, distribution models, econometric models. . etc Data Application Skills: Understanding of data structures and ability to query data tables. Analytical Skills: Ability to conduct hypothesis testing and articulate outcomes Qualifications Undergraduate and/or post graduate degree in mathematics, engineering, statistics, data analytics or any other numerate discipline Previous experience in Operational Risk modelling About Standard Chartered Were an international bank, nimble enough to act, big enough for impact. For more than 170 years, weve worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If youre looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we cant wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, youll see how we value difference and advocate inclusion. Together we: Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term What we offer In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing. Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. Flexible working options based around home and office locations, with flexible working patterns. Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential. www. sc. com/careers 28019

About The Role The ideal candidate must possess knowledge relevant to the functional area, and act as a subject matter expert in providing advice in the area of expertise, and also focus on continuous improvement for maximum efficiency. It is vital to focus on the high standard of delivery excellence, provide top-notch service quality and develop successful long-term business partnerships with internal/external customers by identifying and fulfilling customer needs. The candidate should be able to break down complex problems into logical and manageable parts in a systematic way, and generate and compare multiple options, and set priorities to resolve problems.The ideal candidate must be proactive, and go beyond expectations to achieve job results and create new opportunities. The role must positively influence the team, motivate high performance, promote a friendly climate, give constructive feedback, provide development opportunities, and manage career aspirations of direct reports. Communication skills are key here, to explain organizational objectives, assignments, and the big picture to the team, and to articulate team vision and clear objectives. Senior Process Manger Roles and responsibilities: Understand business problem and requirements by building domain knowledge and translate to logical analytics problem. Conceptualize and design innovative solution by applying design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently address the end need. Prototype and experiment the solution to successfully demonstrate the value. Execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall digital analytics capability for eClerx through support in client delivery, pilots, pre sales pitches, product development and practice development. Technical and Functional Skills: Bachelor Degree in Computer Science with 7 to 10 years of experience in Data Analytics. Strong knowledge of Statistics, Data Analysis & Hypothesis testing along with Business Analytics background to support consulting assignments. Visualization and story-telling using Power BI, PowerPoint. Data wrangling using Python, SQL. Documentation using Word/ PowerPoint. Working knowledge of Excel, Pivot Tables, Formulas is must have. Good to have skills - Data Science/ RPA/ Automation using VBA, Excel macros. Exposure to Machine Learning algorithms is an added advantage.

About The Role Role Overview: As part of our Investment Banking - Quality transformation team, you will be working with our key operation stakeholders to transform processes and controls that build capacity and scale. The leader must demonstrate an ability to anticipate, understand, and act on evolving stakeholder & business needs, both stated and unstated. Through this, he/she must create a customer-centric organisation and use innovative thinking frameworks to identify high impact improvement opportunities & value-added solutions. With the right balance of Innovative initiatives, continuous improvement and governance, the leader must help in overachieve delivery standards set by the client and eClerx by leveraging the knowledge of market drivers and competition to effectively anticipate trends and opportunities. Associate Program Manager Roles and responsibilities: Working with senior business/Client stakeholders in structured way to identify business/process transformation opportunities & build project book of work Working closely with business processes & stakeholders to understand improvement opportunities, create business case, convert to projects & implement with quantified business outcomes Identification, Initiating & implementing high impact business transformation projects leveraging domain + Quality + technology knowledge Strong stakeholder management skills to identify stakeholder need, align improvement projects/initiatives in line with stakeholder need along with strong execution & governance till project closure Regular governance with key stakeholders on project progress via daily/weekly/monthly meetings Understanding & implementation experience of LEAN Six Sigma methodologies like DMAIC, DMADV (Six sigma black belt certified), Lean / Six sigma project management, TQM In depth Process & Risk Audits with working knowledge of risk frameworks Execute and lead key projects delivering tangible results for the business RPA/ AI/ML & Business Analytics background to identify & support improvement opportunities. Working knowledge of same would be added advantage knowledge of Statistics, Data Analysis & Hypothesis testing He/She should have strong capabilities in PowerPoint, MS Word and MS Excel and should be able to build domain expertise within team and lead from the front with the ability to work under pressure & handle multiple priorities. Technical Skills: Graduation (Bcom, BBA, BBM, BCA) / Post Graduation (Mcom, MBA, PGDM) with 12+ years of work experience. Conceptualize, design and deliver high-quality solutions and insightful analysis on a variety of projects ranging in both complexity and scope Delivery of productivity gains, Risk elimination and identify and implement process improvements. Possess strategic perspective, business acumen, action orientation and drive for results. Ability to present and lead senior stakeholders meetings Willingness to continuously learn, upgrade skills and stay relevant to business demands

Job Summary: We are looking for a highly motivated and skilled Assistant Manager with strong experience in Data Analysis domain to join our growing team with demonstrated experience in handling large data sets and relational databases. Job Responsibilities: Demonstrate strong analytical and statistical skills towards taking complex business problems, wide variety of quantitative data, and provide structured and data-supported practical solutions towards optimizing shipping problems. Serve as a trusted partner to business units, translating complex analytical results into business insights, create necessary tools/reports to monitor and ensure program success. Ability to interpret complex data sets with the Strong Problem-solving skills. High level of attention to detail to ensure accuracy in data analysis and documentation. Proven track record of using analytics to drive significant business impact, creating deep-dives and presenting work efficiently. Ability to work with stakeholders to assess potential risks. Ability to analyze existing tools and databases and provide software solution recommendations. Ability to translate business requirements into non-technical, lay terms. Required Skills: B.Tech in a quantitative field like Engineering, Computer Science, Mathematics etc. 5+ years of relevant analytics experience - Strong analytical skills with expertise in SQL, and Excel. Proficiency in Python hands-on. A/B testing, very good ability with Quant (prior experience in Business performance analytics roles good to have) Campaign/promo measurement Good communication skills, with experience working in a fast-paced environment with cross-functional teams. We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, colour, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

Were Hiring: Data Scientist – Supply Chain Analytics Location: Hyderabad, India – Hybrid (3 Days WFO / 2 Days WFH) Full-Time | Permanent Position Experience: 2–5 Years Company: Solenis GSS India About the Role Solenis GSS India is looking for a Data Scientist to join our Supply Chain Analytics team. If you have strong expertise in SQL, Python, Advanced Excel, and Machine Learning, this is your chance to work on impactful global projects and help drive data-based decision-making. What You’ll Do Develop & maintain reports and analytical solutions. Translate business requirements into data-driven insights. Work on large datasets for cleaning, processing, and analysis. Build & evaluate machine learning models for forecasting & optimization. Apply statistical models (correlation, regression, time series forecasting). Collaborate with cross-functional teams and manage small projects. Must-Have Skills SQL – Advanced queries, large dataset handling, schedulers. Python – NumPy, Pandas, Scikit-learn. Advanced Excel – Pivot Tables, VLOOKUP, advanced formulas. Machine Learning & Statistics – Regression, classification, time series. Good to Have Skills Snowflake Qualifications Bachelor’s/Master’s degree in Data Science, Statistics, Computer Science, or related field. 2–5 years of hands-on experience in data science or analytics. Apply now and be part of a global leader in sustainable solutions! Interested in this role? Send your resume to PNandanavanam@Solenis.com

Entity :- Accenture Strategy & Consulting Team :- Strategy & Consulting Global Network Practice :- Marketing Analytics Title :- Data Science Manager Job location :- Gurgaon About S&C - Global Network :- Accenture Applied Intelligence practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. WHATS IN IT FOR YOU As part of our Analytics practice, you will join a worldwide network of over 20,000 smart and driven colleagues experienced in leading statistical tools, methods and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically-informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. Accenture will continually invest in your learning and growth. You'll work with MMM experts, and Accenture will support you in growing your own tech stack and certifications In Applied intelligence you will understands the importance of sound analytical decision-making, relationship of tasks to the overall project, and executes projects in the context of a business performance improvement initiative. What you would do in this role Working through the phases of project Define data requirements for creating a model and understand the business problem Clean, aggregate, analyze, interpret data and carry out quality analysis of it 5+ years of advanced experience of Market Mix Modeling and related concepts of optimizing promotional channels and budget allocation Experience in working with non linear optimization techniques. Proficiency in Statistical and Probabilistic methods such as SVM, Decision-Trees, Bagging and Boosting Techniques, Clustering Hands on experience in python data-science and math packages such as NumPy , Pandas, Sklearn, Seaborne, Pycaret, Matplotlib Development of AI/ML models Develop and Manage data pipelines Develop and Manage Data within different layers of Azure/ Snowflake Aware of common design patterns for scalable machine learning architectures, as well as tools for deploying and maintaining machine learning models in production. Knowledge of cloud platforms and usage for pipelining and deploying and scaling marketing mix models. Working knowledge of MMM optimizer and its intricacies Awareness of MMM application development and backend engine integration will be preferred Working along with the team and consultant/manager Well versed with creating insights presentations and client ready decks. Should be able to mentor and guide a team of 10-15 people under him/her Manage client relationships and expectations, and communicate insights and recommendations effectively Capability building and thought leadership Logical Thinking Able to think analytically, use a systematic and logical approach to analyze data, problems, and situations. Notices discrepancies and inconsistencies in information and materials. Task Management Advanced level of task management knowledge and experience. Should be able to plan own tasks, discuss and work on priorities, track and report progress Qualification Who we are looking for 5+ years of work experience in consulting/analytics with reputed organization is desirable. Master degree in Statistics/Econometrics/ Economics or B Tech/M Tech or Masters/M Tech in Computer Science or M.Phil/Ph.D in statistics/econometrics or related field from reputed college Must have knowledge of SQL and Python language and at-least one cloud-based technologies (Azure, AWS, GCP) Must have good knowledge of Market mix modeling techniques and optimization algorithms and applicability to industry data Must have data migration experience from cloud to snowflake (Azure, GCP, AWS) Managing sets of XML, JSON, and CSV from disparate sources. Manage documentation of data models, architecture, and maintenance processes Have an understanding of econometric/statistical modeling and analysis techniques such as regression analysis, hypothesis testing, multivariate statistical analysis, time series techniques, optimization techniques, and statistical packages such as R, Python, Java, SQL, Spark etc. Working knowledge in Machine Learning algorithms like Random Forest, Gradient Boosting, Neural Network etc. Proficient in Excel, MS word, PowerPoint, etc. Strong client and team management and planning of large-scale projects with risk assessment Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

Job Title: Lead Data Scientist Location: Belandur, Bengaluru About the Role: We are looking for a Lead Data Scientist to join Angel One Limited, one of Indias top fintech companies. In this role, you will design and deploy advanced ML/DL models, build scalable data pipelines, and deliver actionable insights to drive business impact. You will lead and mentor a team of data scientists , collaborate with cross-functional stakeholders, and work on cutting-edge AI/ML projects in a fast-paced, innovation-driven environment. Key Responsibilities: Lead the development of machine learning models and algorithms to solve complex business problems. Analyze large and complex data sets to identify trends, patterns, and insights. Collaborate with engineering teams to deploy data science solutions into production environments. Design and implement data pipelines to ensure the availability and quality of data for analysis. Work with business stakeholders to understand their requirements and translate them into data science solutions. Conduct exploratory data analysis, feature engineering, and model evaluation. Communicate findings and insights effectively to both technical and non-technical audiences. Stay updated with the latest industry trends and technologies in data science and machine learning. Mentor and guide junior data scientists and analysts. Qualifications: Master's or Ph.D. degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. 8+ years of experience in data science, machine learning, or a related field. Strong programming skills in Python or R, with experience in data manipulation and analysis using libraries such as pandas, NumPy, scikit-learn, TensorFlow, or PyTorch. Proficiency in SQL and experience with database management systems. Proven experience in building and deploying machine learning models in production. Strong understanding of statistical analysis, hypothesis testing, and data modeling techniques. Experience with big data technologies such as Hadoop, Spark, or similar. Excellent problem-solving skills and attention to detail. Strong communication skills, with the ability to explain complex technical concepts to a non-technical audience. Experience with data visualization tools such as Tableau, Power BI, or similar. Preferred Qualifications: Experience in the [specific industry, e.g., finance, healthcare, e-commerce, etc.]. Experience with cloud platforms such as AWS, Azure, or Google Cloud. Familiarity with deep learning techniques and frameworks. Experience with natural language processing (NLP) or computer vision is a plus. whatsapp - 9886683329

Description: Note that this is an authentic "Data Analyst" role. Must Have skills/competencies 5 years hands-on experience with data analysis to extract inferences and trends from huge amounts of data using a variety of techniques for analyzing data to gain valuable insights that can enhance various aspects of business/operations.The data can be qualitative, quantitative and time series. including Exploratory data analysis Causal data analysis Statistical data analysis (descriptive and inferential) Regressions, correlation, experiments, hypothesis testing etc Some experience with data visualization tools like PowerBI or data visualization libraries (for example MatPlotLib, Seaborn etc.) 2 to 3 years strong hands on experience with writing complex SQL queries Ability to work with multiple stakeholders to understand the data, come-up with several options to analyse, slice & dice the data to bring out trends and action items for better business outcome. Good to have Hands-on experience with Python Understanding of no-SQL db Requirements: Note that this is an authentic "Data Analyst" role. Must Have skills/competencies 5 years hands-on experience with data analysis to extract inferences and trends from huge amounts of data using a variety of techniques for analyzing data to gain valuable insights that can enhance various aspects of business/operations.The data can be qualitative, quantitative and time series. including Exploratory data analysis Causal data analysis Statistical data analysis (descriptive and inferential) Regressions, correlation, experiments, hypothesis testing etc Some experience with data visualization tools like PowerBI or data visualization libraries (for example MatPlotLib, Seaborn etc.) 2 to 3 years strong hands on experience with writing complex SQL queries Ability to work with multiple stakeholders to understand the data, come-up with several options to analyse, slice & dice the data to bring out trends and action items for better business outcome. Good to have Hands-on experience with Python Understanding of no-SQL db Job Responsibilities: Note that this is an authentic "Data Analyst" role. Must Have skills/competencies 5 years hands-on experience with data analysis to extract inferences and trends from huge amounts of data using a variety of techniques for analyzing data to gain valuable insights that can enhance various aspects of business/operations.The data can be qualitative, quantitative and time series. including Exploratory data analysis Causal data analysis Statistical data analysis (descriptive and inferential) Regressions, correlation, experiments, hypothesis testing etc Some experience with data visualization tools like PowerBI or data visualization libraries (for example MatPlotLib, Seaborn etc.) 2 to 3 years strong hands on experience with writing complex SQL queries Ability to work with multiple stakeholders to understand the data, come-up with several options to analyse, slice & dice the data to bring out trends and action items for better business outcome. Good to have Hands-on experience with Python Understanding of no-SQL db What We Offer: Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them. Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities! Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays. Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training(GL Vantage, Toast Master),Stress Management program, professional certifications, and technical and soft skill trainings. Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Group Term Life Insurance, Group Personal Accident Insurance , NPS(National Pension Scheme ), Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses. Fun Perks: We want you to love where you work, which is why we host sports events, cultural activities, offer food on subsidies rates, Corporate parties. Our vibrant offices also include dedicated GL Zones, rooftop decks and GL Club where you can drink coffee or tea with your colleagues over a game of table and offer discounts for popular stores and restaurants!