3017 Data Science Jobs - Page 37

Role/Designation: Data Scientist Location: Gurgaon Level/ Band: Band C (Manager/ Sr. Manager) Brief about the role/ team/ candidate requirement: We are looking for a motivated and highly skilled Data Scientist to join our Flight Safety team. This role will be pivotal in using advanced data analytics and machine learning techniques to enhance flight safety decisions and processes. The candidate will work with time-series, multi-variate data to detect anomalies, identify patterns, and build predictive models that support safety management. The ideal candidate should have a strong foundation in data science, machine learning, and deep learning techniques, along with expertise in applying these skills in the aviation safety domain. The candidate will play a key role in developing algorithms, performing exploratory data analysis, and utilizing artificial intelligence tools to forecast potential safety risks, providing valuable insights for strategic safety decisions. Qualification & Experience: Educational Requirements: Engineering graduate with a specialization in Data Science or a related field. Completion of a Data Scientist course or equivalent certification. Experience: A minimum of 6 years of hands-on experience working directly with data, particularly in the context of data science and machine learning. Skill set: Data analysis Anomaly detection Machine learning Big data analytics Programming skills Job responsibilities: Data analysis expertise: Ability to conduct exploratory data analysis to uncover patterns, trends, and insights from complex datasets. Anomaly detection: Expertise in anomaly detection techniques for time-series, multi-variate data, with a focus on identifying outliers and irregular behavior. Machine learning and deep learning: Strong understanding of data science methodologies, machine learning algorithms, and deep learning architectures such as Artificial Neural Networks (ANN), Recurrent Neural Networks (RNN), and Convolutional Neural Networks (CNN). Big data analytics: Proficient in utilizing AI and machine learning techniques for big data analytics, with the goal of predicting and mitigating potential safety risks. Programming skills: Expertise in Python and MATLAB for data manipulation, modeling, and algorithm development. Algorithm development: Strong ability to formulate custom algorithms tailored to specific requirements, ensuring accurate results in the context of flight safety and operational excellence. Data collection: Proficiency in gathering and preprocessing data from various sources to ensure high-quality datasets for analysis and modeling.

Job Overview: We are looking for a skilled Python and Data Science Programmer to develop and implement data-driven solutions. The ideal candidate should have strong expertise in Python, machine learning, data analysis, and statistical modeling. Key Responsibilities: Data Analysis & Processing: Collect, clean, and preprocess large datasets for analysis. Machine Learning: Build, train, and optimize machine learning models for predictive analytics. Algorithm Development: Implement data science algorithms and statistical models for problem-solving. Automation & Scripting: Develop Python scripts and automation tools for data processing and reporting. Data Visualization: Create dashboards and visual reports using Matplotlib, Seaborn, Plotly, or Power BI/Tableau. Database Management: Work with SQL and NoSQL databases for data retrieval and storage. Collaboration: Work with cross-functional teams, including data engineers, business analysts, and software developers. Research & Innovation: Stay updated with the latest trends in AI, ML, and data science to improve existing models.

Job Summary Bluphlux is seeking a talented Data Scientist specializing in Natural Language Processing (NLP) to join our innovative team. As a Data Scientist at Bluphlux, you will play a crucial role in developing and enhancing our AI-driven recruitment solutions. You will work with cutting-edge technologies to improve the accuracy and efficiency of our language models, ensuring that our clients receive the best possible candidates for their needs. Key Responsibilities Develop and implement NLP models to enhance our recruitment platform. Collaborate with cross-functional teams to integrate NLP solutions into existing systems. Analyze and process large datasets to extract meaningful insights and improve model performance. Stay up-to-date with the latest advancements in NLP and AI to ensure our solutions remain at the forefront of technology. Conduct experiments and evaluate the effectiveness of different NLP techniques and algorithms. Required Qualifications Bachelors or Masters degree in Computer Science, Data Science, or a related field. Proven experience in developing and deploying NLP models. Strong programming skills in Python and familiarity with NLP libraries such as NLTK, SpaCy, or similar. Experience with machine learning frameworks such as TensorFlow or PyTorch. Excellent problem-solving skills and attention to detail. Preferred Skills PhD in a relevant field is a plus. Experience with cloud platforms such as AWS or Google Cloud. Familiarity with recruitment processes and HR technologies. Strong communication skills and ability to work in a team environment.

About Oceaneering: Oceaneering is a global provider of engineered services and products, primarily to the offshore energy industry. We develop products and services for use throughout the lifecycle of an offshore oilfield, from drilling to decommissioning. We operate the world's premier fleet of work class ROVs. Additionally, we are a leader in offshore oilfield maintenance services, umbilicals, subsea hardware, and tooling. We also use applied technology expertise to serve the defense, entertainment, material handling, aerospace, science, and renewable energy industries. Role Summary: The Principal Data Scientist will develop Machine Learning and/or Deep Learning based integrated solutions that address customer needs such as inspection topside and subsea. They will also be responsible for development of machine learning algorithms for automation and development of data analytics programs for Oceaneerings next generation systems. The position requires the Principal Data Scientist to work with various Oceaneering Business units across global time zones but also offers the flexibility to work in a Hybrid Work-office environment. Responsibilities: Lead and supervise a team of moderately experienced engineers on product/prototype design & development assignments or applications. Work both independently and collaboratively to develop custom data models and algorithms to apply on data sets that will be deployed in existing and new products. Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies. Assess the effectiveness and accuracy of new data sources and data gathering techniques. Build data models and organize structured and unstructured data to interpret solutions. Prepares data for predictive and prescriptive modeling. Architect solutions by selection of appropriate technology and components Determines the technical direction and strategy for solving complex, significant, or major issues. Plans and evaluates architectural design and identifies technical risks and associated ways to mitigate those risks. Prepares design proposals to reflect cost, schedule, and technical approaches. Recommends test control, strategies, apparatus, and equipment. Develop, construct, test, and maintain architectures. Lead research activities for ongoing government and commercial projects and products. Collaborate on proposals, grants, and publications in algorithm development. Collect data as warranted to support the algorithm development efforts. Work directly with software engineers to implement algorithms into commercial software products. Work with third parties to utilize off the shelf industrial solutions. Algorithm development on key research areas based on clients technical problem. This requires constant paper reading, and staying ahead of the game by knowing what is and will be state of the art in this field. Ability to work hands-on in cross-functional teams with a strong sense of self-direction. REQUIRED Bachelors degree in Electronics and Electrical Engineering (or related field) with ten or more years of past experience working on Machine Learning and Deep Learning based projects OR Masters degree in Data Science (or related field) with eight or more years of past experience working on Machine Learning and Deep Learning based projects DESIRED Strong knowledge of advanced statistical functions: histograms and distributions, Regression studies, scenario analysis etc. Proficient in Object Oriented Analysis, Design and Programming Strong background in Data Engineering tools like Python/C#, R, Apache Spark, Scala etc. DESIRED Experience/Knowledge: Strong knowledge of advanced statistical functions: histograms and distributions, Regression studies, scenario analysis etc. Proficient in Object Oriented Analysis, Design and Programming Strong background in Data Engineering tools like Python/C#, R, Apache Spark, Scala etc. Prior experience in handling large amount of data that includes texts, shapes, sounds, images and/or videos. Knowledge of SaaS Platforms like Microsoft Fabric, Databricks, Snowflake, h2o etc. Background experience of working on cloud platforms like Azure (ML) or AWS (SageMaker), or GCP (Vertex), etc. Proficient in querying SQL and NoSQL databases Hands on experience with various databases like MySQL/PostgreSQL/Oracle, MongoDB, InfluxDB, TimescaleDB, neo4j, Arango, Redis, Cassandra, etc. Prior experience with at least one probabilistic/statistical ambiguity resolution algorithm Proficient in Windows and Linux Operating Systems Basic understanding of ML frameworks like PyTorch and TensorFlow Basic understanding of IoT protocols like Kafka, MQTT or RabbitMQ Prior experience with bigdata platforms like Hadoop, Apache Spark, or Hive is a plus.

Job Summary: We are looking for a skilled and passionate AI Developer with 3+ years of hands-on experience in building and deploying AI/ML solutions. The ideal candidate will have a strong foundation in data science, machine learning algorithms, and deep learning frameworks, and will be responsible for developing scalable AI applications tailored to our business needs. Responsibilities: Design, develop, and deploy machine learning models and AI-driven applications. Collaborate with data engineers and software developers to integrate AI models into production systems. Conduct data preprocessing, feature engineering, and model tuning. Research and implement state-of-the-art ML/DL algorithms for predictive analytics, NLP, computer vision, etc. Monitor and evaluate model performance and retrain when necessary. Stay updated with the latest AI trends, technologies, and best practices. Required Skills and Qualifications : Bachelor s/Master s degree in Computer Science, Data Science, AI, or related field. 3+ years of professional experience in AI/ML development. Proficient in Python and common ML libraries (scikit-learn, TensorFlow, PyTorch, etc.). Experience with NLP, computer vision, recommendation systems, or other AI domains. Solid understanding of data structures, algorithms, and software design principles. Experience with cloud platforms (AWS, Azure, GCP) is a plus. Excellent problem-solving skills and ability to work in a collaborative team environment. Preferred Qualifications : Experience deploying AI models using REST APIs, Docker, or Kubernetes. Exposure to MLOps tools and frameworks. Contribution to open-source AI/ML projects or publications in the field.

We are seeking a data scientist with strong technical expertise in machine learning and statistical analysis to develop and deploy impactful data solutions. The role involves designing and implementing predictive models (e.g., regression, classification, NLP, time series), collaborating with stakeholders to solve business problems, and driving strategic decisions through experimentation and data-driven insights Job Description: Key responsibilities: 1. Modeling & Machine Learning Design and implement robust machine learning solutions (e.g., regression, classification, NLP, time series, recommendation systems). Evaluate and tune models using appropriate metrics (AUC, RMSE, precision/recall, etc.). Work on feature engineering, model interpretability, and performance optimization. 2. Data-Driven Business Strategy Partner with stakeholders to identify key opportunities where data science can drive business value. Translate business problems into data science projects with clearly defined deliverables and success metrics. Provide actionable recommendations based on data analysis and model outputs. 3. Analytics and Experimentation Conduct deep-dive exploratory analysis to uncover trends and insights. Apply statistical methods to test hypotheses, forecast trends, and measure campaign effectiveness Design and analyze A/B tests and other experiments to support product and marketing decisions. Automate data pipelines and dashboards for ongoing monitoring of model and business performance. Technical Skills: Languages : Proficient in Python, MySQL. Libraries/ Frameworks : scikit-learn, Pandas, NumPy, Time series, ARIMA, Bayesian model, Market Mix model, Regression, XGBoost, LightGBM, TensorFlow, PyTorch. Statistical Method : Proficient in statistical techniques such as hypothesis testing, regression analysis, time-series analysis Databases : PostgreSQL, BigQuery, MySQL. Visualization : Plotly, Seaborn, Matplotlib. Deployment : Experience in Gitlab, CI/CD pipelines(Good to have). Cloud Platforms : Familiarity with AWS, GCP, or Azure services(Good to have). Location: Chennai Brand: Paragon Time Type: Full time Contract Type: Permanent

The purpose of this role is to develop best in class strategies and management of all Insights and Analysis activity on assigned clients, to manage and develop the team and serve as a point of escalation as needed. Job Description: Key responsibilities: Applies data science methods to provide insights and recommendations to clients Manages multiple analytics engagements Communicates findings and insights Maintains knowledge of new trends in the data science industry Integrates disparate datasets, conducts data preparation for analyses Sets team development and training objectives Location: DGS India - Bengaluru - Manyata N1 Block Brand: Merkle Time Type: Full time Contract Type: Permanent

We are seeking a data scientist with strong technical expertise in machine learning and statistical analysis to develop and deploy impactful data solutions. The role involves designing and implementing predictive models (e.g., regression, classification, NLP, time series), collaborating with stakeholders to solve business problems, and driving strategic decisions through experimentation and data-driven insights Job Description: Key responsibilities: 1. Modeling & Machine Learning Design and implement robust machine learning solutions (e.g., regression, classification, NLP, time series, recommendation systems). Evaluate and tune models using appropriate metrics (AUC, RMSE, precision/recall, etc.). Work on feature engineering, model interpretability, and performance optimization. 2. Data-Driven Business Strategy Partner with stakeholders to identify key opportunities where data science can drive business value. Translate business problems into data science projects with clearly defined deliverables and success metrics. Provide actionable recommendations based on data analysis and model outputs. 3. Analytics and Experimentation Conduct deep-dive exploratory analysis to uncover trends and insights. Apply statistical methods to test hypotheses, forecast trends, and measure campaign effectiveness Design and analyze A/B tests and other experiments to support product and marketing decisions. Automate data pipelines and dashboards for ongoing monitoring of model and business performance. Technical Skills: Languages : Proficient in Python, MySQL. Libraries/ Frameworks : scikit-learn, Pandas, NumPy, Time series, ARIMA, Bayesian model, Market Mix model, Regression, XGBoost, LightGBM, TensorFlow, PyTorch. Statistical Method : Proficient in statistical techniques such as hypothesis testing, regression analysis, time-series analysis Databases : PostgreSQL, BigQuery, MySQL. Visualization : Plotly, Seaborn, Matplotlib. Deployment : Experience in Gitlab, CI/CD pipelines(Good to have). Cloud Platforms : Familiarity with AWS, GCP, or Azure services(Good to have). Location: Chennai Brand: Paragon Time Type: Full time Contract Type: Permanent

As an AI Developer, you will be part of a dynamic team working on innovative projects involving machine learning, deep learning, natural language processing, and computer vision. You ll collaborate with senior engineers and data scientists to build intelligent systems and contribute to the development of AI-based solutions. Responsibilities: Assist in developing and implementing AI/ML models and algorithms. Work with large datasets to preprocess, clean, and prepare for training models. Support in integrating AI capabilities into products and services. Participate in code reviews, testing, and debugging. Stay up-to-date with emerging trends in AI, ML, and data science. Document processes, models, and results clearly and efficiently. Requirements: Bachelor s degree in Computer Science, Data Science, AI, or a related field. Strong understanding of Python and libraries such as NumPy, pandas, scikit-learn, etc. Basic knowledge of machine learning algorithms and concepts. Familiarity with AI frameworks like TensorFlow or PyTorch (preferred). Good problem-solving skills and a willingness to learn.

Key Responsibilities: Lead and manage end-to-end AI/ML projects, ensuring alignment with business goals and technical feasibility. Collaborate with data scientists, machine learning engineers, software developers, and business stakeholders to define project scope, objectives, and deliverables. Develop detailed project plans, timelines, and resource allocation to ensure on-time delivery. Monitor project progress, identify risks, and implement mitigation strategies. Communicate project status, challenges, and outcomes to senior management and stakeholders. Facilitate agile ceremonies such as sprint planning, daily stand-ups, retrospectives, and backlog grooming. Manage vendor relationships and third-party collaborations when applicable. Ensure quality standards and compliance with organizational policies. Mentor and guide junior project managers or team members. Qualifications: Bachelor s or Master s degree in Computer Science, Engineering, Data Science, or a related field. 7+ years of experience in project management, preferably in AI, machine learning, or data science projects. Strong knowledge of AI/ML concepts, frameworks, and tools (e.g., TensorFlow, PyTorch, scikit-learn). Proven experience with Agile/Scrum methodologies. Excellent communication, leadership, and interpersonal skills. Strong problem-solving and decision-making abilities. PMP, Scrum Master, or equivalent project management certification is a plus. Preferred Skills: Experience working with cloud platforms (AWS, Azure, GCP) for AI/ML deployments. Understanding of data engineering and data pipeline concepts. Familiarity with MLOps and model deployment strategies. Ability to translate complex technical concepts into business terms.

Description & Requirements Position Summary: For the Infor ION Common Services team we are looking for a highly motivated and result-driven sr. Software Engineer (SE). You will be responsible for translating high level requirements and designs into solid detailed designs, building robust software including extensive unit tests and analyzing and fixing incoming defects. You will work in an international team of motivated people, consisting of other software engineers, business analysts, architects and QA engineers. This team is not only located in Hyderabad but is also in Barneveld (The Netherlands). We are currently in the process of breaking up our product into multiple smaller micro services. Although we are looking for a backend engineer, our team is also building the UI parts of the solution so a full-stack engineer is more than welcome to apply. A Day in The Life Typically Includes: What You Will Need: Required skills: What Will Put You Ahead? Preferred qualifications: Experience in working in an international environment

Description & Requirements Position Summary: For the Infor ION Common Services team we are looking for a highly motivated and result-driven Development Support Engineer. As a DevSupport Engineer, you are the linking pin between the Infor Support organization and the Development team. You will respond to incoming support issues that cannot be handled by Infor Support. You will analyze the issues and propose solutions. You will work with your DevSupport peers in both India and the U.S. Issues that are caused by flaws in the software will be analyzed together with the Development team. You will work within a multidisciplinary agile development team in close collaboration with other skilled software engineers, QA engineers, architects and business analysts. You determine your daily tasks in coordination with these colleagues rather than waiting for work to be assigned to you. A Day in The Life Typically Includes: What You Will Need: Required skills: Bachelor or Master of Technology in Computer Science Engineering, Electronics Engineering; Several years of experience in a software development or support environment; Basic Java development skills; Analytical, accurate and result driven; Proactive problem solver; Good communication skills (written and oral) in English; Experience with and enjoys working within an international agile development environment; What Will Put You Ahead? Preferred qualifications: Experience in working in an international environment Database skills in native SQL; Amazon Web Services, especially EC2, S3, SQS, ELB, OpenSearch;

Position 2 - Part Time Trainers We are looking for experienced trainers to conduct online trainings. If you have expertise in conducting online training classes in either of the following technologies then please get in touch: Java Full Stack Development Python Full Stack Development Web Full Stack Development Data Science with Python Machine Learning with Python Blockchain for Beginners DevOps for Beginners Data Structure for Beginners AWS Certifications You can work for us from home as a freelancer or join us permanently in Hyderabad. There is no work from home for permanent employees.

Company RNTBCI PL Job Description Enable AI adoption in various areas of the organisation Manage a team of data analysts and data scientists Competency development - d eveloping p eople through c oaching and m entoring in Computer Vision and Deep Learning Successfully manag e end to end delivery of data models ( CV & DL) including architecture, infra. needs, resourcing, budgeting and prioritisation Lead and Guide all Computer Vision, Image and Video Analytics projects. Keep up with current trends and build competency in team with PoC s / P oC s /Prototypes Lead discussions with business stakeholders Build Business problem/need to Data Science problem statement and solution approach Align data projects with organizational goals Job Family Information Technologies & Systems

Company RNTBCI PL Job Description Collect and analyze data from various internal and external sources. Clean and amalgamate data to make it conducive for analysis. Use programming, math, statistical, and analytical skills to interpret data. Design data modeling processes and create algorithms and predictive models. Share meaningful insights with peers and business stakeholders. Collaborate with other teams to understand business needs and provide data-driven solutions. Keep up with current trends and build competency in the team with Proof of Concepts ( PoCs ) and prototypes. Successfully manag e end to end delivery of data models (ML & DL) including architecture, infra. needs, resourcing, budgeting and prioritisation Lead and Guide Machine Learning Engineers with model selection, feature extraction and model building Conceive, plan and prioritize data projects Lead discussions with business stakeholders Build Business problem/need to Data Science problem statement and solution approach Align data projects with organizational goals Job Family Information Technologies & Systems

Get to know the team GrabFin is an aggregate of FinTech businesses spread across 6 countries in S.E. Asia, in the Lending, Payments and Insurance domains. We are excited to provide innovative financial services to all participants of the Grab Ecosystem be it our Drivers, Consumers or Merchants. Our products are built on fundamental market insights combined with data science and engineering to bring the best product market fit across the cross section of our user base. This understanding of our ecosystem combined with world class engineering execution continues to create tremendous value for our customers. The data scientist will work in a relatively flat team structure with an independent goal of building and manage critical data science models daily. You can expect to solve hard technical problems and grow into an expert on both batch and real-time Data Science use cases. You will have experience with technology and data science. You will be reporting to Senior Manager, Data Science. This role is onsite based in Bangalore. Youll develop credit risk scoring models for consumer loans, including PD, LGD, and collection models. Youll work with alternative data sources to boost model signal and accuracy. Your role will involve full ownership of the end-to-end model lifecycle from building and validation to deployment and maintenance. Youll collaborate with business, risk, and operations teams to shape solutions and influence product strategy with your insights. This is an individual contributor role suited for professionals with 8+ years of experience. The Critical Tasks You Will Perform Build predictive models using a mix of machine learning and traditional analytics methods to segregate between Good vs Bad borrowers Build Machine learning & Deep learning models to estimate losses from of a given portfolio. Validate models on new datasets, based on in-market performance. Engineer predictive features from internal data assets to build refined customer profiles. Identify external data assets to bring into the model mix. Drive model governance by collaborating with risk policy, compliance, and audit teams to ensure adherence to regulatory expectations. Identify model gaps or performance drifts and lead model refresh cycles. Present findings to senior leadership with clear articulation of risk trade-offs and growth. Translate model insights into strategic recommendations (e.g., policy changes, pricing levers, customer targeting strategies). Solve previously unsolved analytics problems using best in class data analytics and machine learning methodologies. Read more Skills you need The Essential Skills You Need 8+ years of experience. Deep domain expertise in credit risk modelling across PD, LGD, EAD, and collections Prior experience working in FinTech/credit businesses, especially in digital lending or unsecured loan portfolios Experience applying data science to credit underwriting, risk segmentation, and portfolio management Experience with credit business - lifecycle of a loan, collections process, and credit KPIs like NPL, ECL. Expert in building machine learning and predictive models in Python and Spark is an absolute must. SQL, Presto, Hive proficiency. Sound knowledge of machine learning concepts. Illustrative machine learning concepts/methods are: Bagging, Boosting, Regularisation, Online Learning, Recommendation Engines Experience with LLMs, and Generative AI Experience with model deployment pipelines - using MLFlow, Airflow, or other MLOps tools. Demonstrated experience building machine learning models Understand the trade-offs between model performance and our needs. Mindset is critical for success in this role. Read more What we offer About Grab and Our Workplace Grab is Southeast Asias leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, weve got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility. Read more Life at Grab Life at Grab We care about your well-being at Grab, here are some of the global benefits we offer: We have your back with Term Life Insurance and comprehensive Medical Insurance. With GrabFlex, create a benefits package that suits your needs and aspirations. Celebrate moments that matter in life with loved ones through Parental and Birthday leave, and give back to your communities through Love-all-Serve-all (LASA) volunteering leave We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through lifes challenges. What we stand for at Grab We are committed to building an inclusive and equitable workplace that enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer, we consider all candidates fairly and equally regardless of nationality, ethnicity, religion, age, gender identity, sexual orientation, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique. #LI-DNI Read more

Youll lead the Data Science function supporting Lending, overseeing credit risk scoring models across PD, LGD, and collections. Youll guide the team in leveraging alternative data to improve model accuracy and signal. Youll lead the full model lifecycle driving strategy, standards, and execution across model development, validation, deployment, and monitoring. Youll partner with business, risk, and ops leaders to shape the credit roadmap and influence decisions with data-driven insights. You are experienced in leading teams while being hands-on when needed. This role is suited for professionals with 10+ years of experience in data science and risk analytics. You will report to Head of Data Science and this role is onsite based in Bangalore. The Critical Tasks You Will Perform Lead the team in building predictive models to separate good vs bad borrowers using ML and traditional methods Drive development of ML and deep learning models for loss estimation across portfolios Oversee model validation and performance monitoring across diverse data sets Guide feature engineering strategies and explore new external data sources Champion model governance in collaboration with risk, compliance, and audit teams Ensure timely identification of performance drifts and lead model refresh cycles Communicate modeling outcomes and trade-offs to senior leadership and key stakeholders Translate analytics into strategic levers policy, pricing, targeting, and credit expansion Set the vision for solving hard data science problems using best-in-class ML techniques Read more Skills you need The Essential Skills You Need Deep domain expertise in credit risk modelling across PD, LGD, EAD, and collections Prior experience working in FinTech/credit businesses, especially in digital lending or unsecured loan portfolios Proven track record of applying data science to credit underwriting, risk segmentation, and portfolio management Expertise in Python for ML model development, with experience building scalable, production-grade solutions Proficient in Spark, SQL, and large-scale distributed data processing frameworks Grasp of advanced ML concepts, including model interpretability, bias mitigation, and performance optimization Experience with ML/DL libraries (scikit-learn, XGBoost, TensorFlow/PyTorch) and guiding teams on their best use Working knowledge of MLOps and orchestration tools (Airflow, MLflow, etc.), with experience standardising model deployment pipelines Exposure to LLMs and Generative AI, with a perspective on their potential applications in credit risk Design of robust, reusable feature pipelines from structured and unstructured data sources Familiarity with Git, CI/CD, and model versioning frameworks as part of scaling DS delivery Mindset and ability to coach team members through complex modelling issues With experience aligning technical outputs with business strategy Read more What we offer About Grab and Our Workplace Grab is Southeast Asias leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, weve got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility. Read more Life at Grab Life at Grab We care about your well-being at Grab, here are some of the global benefits we offer: We have your back with Term Life Insurance and comprehensive Medical Insurance. With GrabFlex, create a benefits package that suits your needs and aspirations. Celebrate moments that matter in life with loved ones through Parental and Birthday leave, and give back to your communities through Love-all-Serve-all (LASA) volunteering leave We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through lifes challenges. What we stand for at Grab We are committed to building an inclusive and equitable workplace that enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer, we consider all candidates fairly and equally regardless of nationality, ethnicity, religion, age, gender identity, sexual orientation, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique. #LI-DNI Read more

Collect and analyze data from various internal and external sources. Clean and amalgamate data to make it conducive for analysis. Use programming, math, statistical, and analytical skills to interpret data. Design data modeling processes and create algorithms and predictive models. Share meaningful insights with peers and business stakeholders. Collaborate with other teams to understand business needs and provide data-driven solutions. Keep up with current trends and build competency in the team with Proof of Concepts ( PoCs ) and prototypes. Successfully manag e end to end delivery of data models (ML & DL) including architecture, infra. needs, resourcing, budgeting and prioritisation Lead and Guide Machine Learning Engineers with model selection, feature extraction and model building Conceive, plan and prioritize data projects Lead discussions with business stakeholders Build Business problem/need to Data Science problem statement and solution approach Align data projects with organizational goals Job Family Information Technologies & Systems Renault Group is committed to creating an inclusive working environment and the conditions for each of us to bring their passion, perform to the full and grow, whilst being themselves. We find strength in our diversity and we are engaged to ensure equal employment opportunities regardless of race, colour, ancestry, religion, gender, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, etc. If you have a disability or special need requiring layout of the workstation or work schedule, please let us know by completing this form. In order to follow in real time the evolution of your applications and to stay in touch with us, we invite you to create a candidate account. This will take you no more than a minute and will also make it easier for you to apply in the future.

Enable AI adoption in various areas of the organisation Manage a team of data analysts and data scientists Competency development - d eveloping p eople through c oaching and m entoring in Computer Vision and Deep Learning Successfully manag e end to end delivery of data models ( CV & DL) including architecture, infra. needs, resourcing, budgeting and prioritisation Lead and Guide all Computer Vision, Image and Video Analytics projects. Keep up with current trends and build competency in team with PoC s / P oC s /Prototypes Lead discussions with business stakeholders Build Business problem/need to Data Science problem statement and solution approach Align data projects with organizational goals Job Family Information Technologies & Systems Renault Group is committed to creating an inclusive working environment and the conditions for each of us to bring their passion, perform to the full and grow, whilst being themselves. We find strength in our diversity and we are engaged to ensure equal employment opportunities regardless of race, colour, ancestry, religion, gender, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, etc. If you have a disability or special need requiring layout of the workstation or work schedule, please let us know by completing this form. In order to follow in real time the evolution of your applications and to stay in touch with us, we invite you to create a candidate account. This will take you no more than a minute and will also make it easier for you to apply in the future.

We are seeking an experienced and highly skilled Senior Data Scientist to drive data-driven decision-making and innovation. In this role, you will leverage your expertise in advanced analytics, machine learning, and big data technologies to solve complex business challenges. You will be responsible for designing predictive models, building scalable data pipelines, and uncovering actionable insights from structured and unstructured datasets. Collaborating with cross-functional teams, your work will empower strategic decision-making and foster a data-driven culture across the organization. Role & responsibilities 1. Data Exploration and Analysis: Collect, clean, and preprocess large and complex datasets from diverse sources, including SQL databases, cloud platforms, and APIs. Perform exploratory data analysis (EDA) to identify trends, patterns, and relationships in data. Develop meaningful KPIs and metrics tailored to business objectives. 2. Advanced Modeling and Machine Learning: Design, implement, and optimize predictive and prescriptive models using statistical techniques and machine learning algorithms. Evaluate model performance and ensure scalability and reliability in production. Work with both structured and unstructured data for tasks such as text analysis, image processing, and recommendation systems. 3. Data Engineering and Automation: Build and optimize scalable ETL pipelines for data processing and feature engineering. Collaborate with data engineers to ensure seamless integration of data science solutions into production environments. Leverage cloud platforms (e.g., AWS, Azure, GCP) for scalable computation and storage. 4. Data Visualization and Storytelling: Communicate complex analytical findings effectively through intuitive visualizations and presentations. Create dashboards and visualizations using tools such as Power BI, Tableau, or Python libraries (e.g., Matplotlib, Seaborn, Plotly). Translate data insights into actionable recommendations for stakeholders. 5. Cross-functional Collaboration and Innovation: Partner with business units, product teams, and data engineers to define project objectives and deliver impactful solutions. Stay updated with emerging technologies and best practices in data science, machine learning, and AI. Contribute to fostering a data-centric culture within the organization by mentoring junior team members and promoting innovative approaches. Preferred candidate profile Proficiency in Python, R, or other data science programming languages. Strong knowledge of machine learning libraries and frameworks (e.g., Scikit-learn, Tensor Flow, PyTorch). Advanced SQL skills for querying and managing relational databases. Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP), preferably MS Azure. Familiarity with data visualization tools such as Power BI, Tableau, or equivalent, preferably MS Power BI. Analytical and Problem-solving Skills: Expertise in statistical modeling, hypothesis testing, and experiment design. Strong problem-solving skills to address business challenges through data-driven solutions. Ability to conceptualize and implement metrics/KPIs tailored to business needs. Soft Skills: Excellent communication skills to translate complex technical concepts into business insights. Collaborative mindset with the ability to work in cross-functional teams. Proactive and detail-oriented approach to project management and execution. Education and Experience: Bachelors or Masters degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. 8+ years of experience in data science, advanced analytics, or a similar field. Proven track record of deploying machine learning models in production environments. Perks & Benefits Best as per market standard. Work from home opportunity. 5 days working. Shift Timing 2PM-11PM IST (Flexible hours)

In your role, you may be responsible for: Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audiences Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides Preferred technical and professional experience Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms Experience and working knowledge in COBOL & JAVA would be preferred Experience in python and pyspark will be added advantage

PositionDecision Scientist Roles and Responsibilities:- Regular analysis of the transaction and customer behaviour data to identify the key fraud trends and develop strategies to prevent the fraud and reduce genuine customer impact. Develop key fraud metrics across different merchant categories and communicate portfolio trends with the respective stakeholders. Support ad hoc analytical projects. Interact with cross functional teams (product, tech, operation, compliance, business) to develop fraud risk solutions. Proactively identify opportunities to enhance the current fraud risk management process. Explore new tools and features for better fraud prevention. Work closely with the business team in developing strategies for the new product launch. Skills and Qualifications:- Bachelor’s in engineering or Master's degree in Management, Maths, Statistics or related quantitative discipline. You must have 3+ years of experience in data analytics / risk analytics / business analytics. Proficient in SQL. Should be able to write queries to manipulate and consolidate data from multiple data sources. Excellent Excel skills. Strong quantitative abilities, distinctive problem-solving and excellent analytical skills. Strong organisational, communication, presentation and project management skills. Good working knowledge of programming languages like Python, R, SAS. Theoretical and practical knowledge of statistical techniques such as regression, segmentation, forecasting. Working experience with BI tools (QlikView/Tableau/PowerBI/ QlikSense etc) will be an added advantage. PhonePe Full Time Employee Benefits (Not applicable for Intern or Contract Roles) Insurance Benefits - Medical Insurance, Critical Illness Insurance, Accidental Insurance, Life Insurance Wellness Program - Employee Assistance Program, Onsite Medical Center, Emergency Support System Parental Support - Maternity Benefit, Paternity Benefit Program, Adoption Assistance Program, Day-care Support Program Mobility Benefits - Relocation benefits, Transfer Support Policy, Travel Policy Retirement Benefits - Employee PF Contribution, Flexible PF Contribution, Gratuity, NPS, Leave Encashment Other Benefits - Higher Education Assistance, Car Lease, Salary Advance Policy Working at PhonePe is a rewarding experience! Great people, a work environment that thrives on creativity, the opportunity to take on roles beyond a defined job description are just some of the reasons you should work with us. Read more about PhonePe on our blog. Life at PhonePe PhonePe in the news

About the Team- The PhonePe T&S Decision Sciences team is a part of the Trust & Safety team which is a high impact team which makes extensive use of data, statistical and quantitative analysis, rules-based methods, and explanatory and predictive modeling to identify and mitigate the fraud, risk and abuse patterns visible on PhonePe platform. Our work increasingly employs specialized competencies, such as advanced analytics, data visualization, application development, and geographical trend analysis. As a key member of the PhonePe T&S Decision Sciences team, you will spearhead significant data driven projects focused on safeguarding the platform for merchants and detecting abusive behaviors. If you're passionate about developing processes and digital tools to enhance the understanding of financial transactions and identify impactful trends affecting millions of customers and merchants, and if you’re eager to collaborate with top professionals to turn your vision into reality swiftly and purposefully, we invite you to join us! Roles & Responsibilities: Own the fraud, risk and abuse for the entire platform across all BU and fraud MOs Guide and mentor the team to develop strategies to detect, action and resolve end to end risk across the platform and stakeholders. Align senior leadership across the platform with T&S goals and objectives. Supervise, lead and align teams to meet overall T&S goals. Work closely with the Engineering, Business, Operations, Product, Data Science teams to build capabilities that help with prediction, early detection, quick resolution and governance solutions. Manage a diverse set of requirements, assess their importance, and prioritize them based on business objectives and available resources. Evaluate trade-offs involved with every decision and articulate with supporting data to enable decision making for senior leaders. Establish processes and frameworks team efficiency and productivity. Analyze data to detect fraud patterns and conduct a root cause analysis and execute short term and long term resolutions for the team. Ability to understand and follow industry best practices for Fraud Prevention. Leverage information from regulatory changes, new regulations and internal policy changes to better identify new key risk areas. Education & Preferred Qualifications: include, but are not limited to: Bachelor’s in engineering or Master's degree in Management, Mathematics, Statistics or related quantitative discipline 10+ years of experience working closely with data and data derived decision making, communicating and contextualizing complexity to business leaders to enable the decision making. Strong quantitative abilities, distinctive problem-solving and excellent analytics skills Strong organizational, communication, presentation and project management skills Ability to work independently and to liaise with other departments and coordinate with various business stakeholders (internal / external). Candidates should have demonstrated experience to work with Fraud and Risk Functions, technology and analytics Experience in developing and implementing successful fraud prevention and detection strategies will be a plus PhonePe Full Time Employee Benefits (Not applicable for Intern or Contract Roles) Insurance Benefits - Medical Insurance, Critical Illness Insurance, Accidental Insurance, Life Insurance Wellness Program - Employee Assistance Program, Onsite Medical Center, Emergency Support System Parental Support - Maternity Benefit, Paternity Benefit Program, Adoption Assistance Program, Day-care Support Program Mobility Benefits - Relocation benefits, Transfer Support Policy, Travel Policy Retirement Benefits - Employee PF Contribution, Flexible PF Contribution, Gratuity, NPS, Leave Encashment Other Benefits - Higher Education Assistance, Car Lease, Salary Advance Policy Working at PhonePe is a rewarding experience! Great people, a work environment that thrives on creativity, the opportunity to take on roles beyond a defined job description are just some of the reasons you should work with us. Read more about PhonePe on our blog. Life at PhonePe PhonePe in the news

The Data Analyst will support the organization's data management and governance initiatives by analyzing data, resolving issues, and ensuring compliance with policies and standards. This role focuses on ensuring data accuracy, monitoring data handling processes, and contributing to the continuous improvement of data management practices. The ideal candidate will possess strong analytical skills, attention to detail, and a passion for problem-solving. About the Role : In this opportunity, As a Data Analys you will Assist in adherence to Data Management Policies and Procedures, contributing insights and updates for process improvements. Analyze and monitor in-scope data questions, issues, and requests, ensuring timely and accurate resolutions. Conduct preliminary Data Risk and Control Assessments to identify potential issues and suggest remediation steps. Support efforts to align data handling practices with applicable laws, regulations, and internal guidelines. Collaborate with stakeholders from Business, Customer Segments, and Data & Analytics teams to ensure data consistency and alignment. Provide support in team collaborations to create value through efficient data management processes. Track and report on Key Performance Indicators (KPI) and Key Risk Indicators (KRI) to help measure and improve data governance effectiveness. Escalate unresolved issues or roadblocks to appropriate team members for further action. About you: You will be fit for the role, if your background includes Bachelor's degree in Data Analytics, Information Systems, or a related field. 4-6 years of experience in data analysis, data governance, or related fields. Basic knowledge of data governance frameworks, risk management, and compliance standards. Strong analytical and problem-solving skills, with attention to detail. Excellent communication and interpersonal skills, with the ability to work collaboratively in a team environment. Knowledge/experience in Alteryx preferred Expert level Excel user #LI-VGA1 Whats in it For You Hybrid Work Model Weve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrows challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our valuesObsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound excitingJoin us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.

Senior Data Scientist Enterprise Analytics Want to be part of the Data & Analytics organization, whose strategic goal is to create a world-class Data & Analytics company by building, embedding, and maturing a data-driven culture across Thomson Reuters. We are looking for a highly motivated individual with strong organizational and technical skills for the position of Senior Data Scientist. You will play a critical role working on cutting edge of analytics, leveraging predictive models, machine learning and generative AI to drive business insights and facilitating informed decision-making and help Thomson Reuters rapidly scale data-driven initiatives. About the Role In this opportunity as Senior Data Scientist, you will: Engage with stakeholders, business analysts and project team to understand the data requirements. Work in multiple business domain areas including Customer Service, Finance, Sales and Marketing. Design analytical frameworks to provide insights into a business problem. Explore and visualize multiple data sets to understand data available and prepare data for problem solving. Build machine learning models and/or statistical solutions. Build predictive models, generative AI solutions. Use Natural Language Processing to extract insight from text. Design database models (if a data mart or operational data store is required to aggregate data for modeling). Design visualizations and build dashboards in Tableau and/or PowerBI. Extract business insights from the data and models. Present results to stakeholders (and tell stories using data) using power point and/or dashboards. About You You're a fit for the role of Senior Data Scientist if your background includes: Experience- 6-8 Years in the field of Machine Learning & AI Must have a minimum of 3 years of experience working in the data science domain Degree preferred in a quantitative field (Computer Science, Statistics, etc.) Both technical and business acumen is required Technical skills Proficient in machine learning, statistical modelling, data science and generative AI techniques Highly proficient in Python and SQL Experience with Tableau and/or PowerBI Has worked with Amazon Web Services and Sagemaker Ability to build data pipelines for data movement using tools such as Alteryx, GLUE Experience Predictive analytics for customer retention, upsell/cross sell products and new customer acquisition, Customer Segmentation, Recommendation engines (customer and AWS Personalize), POCs in building Generative AI solutions (GPT, Llama etc.,) Hands on with Prompt Engineering Experience in Customer Service, Finance, Sales and Marketing Additional Technical skills include Familiarity with Natural Language Processing including Feature Extraction techniques, Word Embeddings, Topic Modeling, Sentiment Analysis, Classification, Sequence Models and Transfer Learning Knowledgeable of AWS APIs for Machine Learning Has worked with Snowflake extensively. Good presentation skills and the ability to tell stories using data and Powerpoint/Dashboard Visualizations. Ability to communicate complex results in a simple and concise manner at all levels within the organization. Consulting Experience with a premier consulting firm. #LI-SS5 Whats in it For You Hybrid Work Model Weve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrows challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our valuesObsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound excitingJoin us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.