1440 Data Scientist Jobs - Page 37

Oracle Cloud Infrastructure (OCI) is at the forefront of cloud innovation, blending the agility of a startup with the reliability of a leading enterprise software provider. Our AI Science team pioneers state-of-the-art machine learning solutions that empower customers and solve complex real-world problems at scale. We re looking for an experienced Sr. Applied Scientist (IC3) with deep hand-on experience in Generative AI and Computer Vision area to develop highly complex and accurate data science model. In this role, you will develop of secure, scalable, and innovative AI solutions leveraging cutting-edge techniques in computer vision, Large multimodal models and other GenAI technologies. As a Senior Applied Scientist, you will develop and deploy state-of-the-art computer vision solutions leveraging generative AI technologies such as Large multimodal models and computer vision technologies such as image classification, object detection, vision grounding etc. This individual contributor(IC) role will build best-in-class computer vision solutions at scale Perfect for a hands-on data science architecture design and is eager to drive innovation and excellence in AI and computer vision area. You will partner with the Product and Engineering managers to influence strategic decisions, drive experimentation and communicate results to higher managements. You will build best-in-class LLM/LMM/computer vision solutions for the Oracle business domain at scale. You will also partner with Product Management, Data Labelling and Engineering teams to get to develop build best-in-class computer vision solutions at scale. The ideal candidate has extensive experience with computer vision techniques, deep learning techniques, model serving, and a demonstrated ability to think strategicallyabout business, product, and technical challenges to contribute to the development of current and future vision services. Key Responsibilities Development of advanced AI models and algorithms, focusing on large language model, large multimodal, computer vision and foundation models. Design, implement and test the critical module/features of AI service that are correct, highly available, scalable, and cost-effective. Champion best practices for testing, benchmarking, and model validation to ensure reliability and performance. Analysis of ML models, and optimizing models for accuracy and latency. Large-scale training production deployment with ML models. Own data analysis, feature engineering, technique selection implementation, debugging, and maintenance of production model. Experience implementing machine learning algorithms or research papers from scratch to production. Work with large, complex data sets. Proactively identify the technical issues/bugs and provide innovative solutions. File patent and publication as by product of solving complex business problems Partner closely with product managers, engineering leads, and annotation/data teams to define requirements, data quality assurance and acceptance of data/annotation as required. Leverage Oracle Cloud technology. Preferred Qualifications Ph.D. (preferred) or Master s in Computer Science, Machine Learning, Computer Vision, or related field. PhD in computer vision or 2+ years of Experience designing, implementing and deploying computer vision models in production environments Expertise in GenAI, LLMs, LMMs, object detection, facial recognition, and image classification. Strong foundation in deep learning architectures such as CNNs, transformers, diffusion models, and multimodal models. Expert in at least one high level language such as Python/Java/C++ Practical experience in ML algorithm design, model training and production deployment using microservices architecture Practical experience working in a cloud environment: Oracle Cloud (OCI), AWS, GCP, Azure or similar technology. Experience or willingness to learn and work in Agile and iterative development processes. Strong drive to learn and master new technologies and techniques. Deep understanding of data structures, algorithms, and excellent problem-solving skills. You enjoy a fast-paced work environment.

Job Title: Data Scientist Job Location: Gurgaon Educational Qualification B.E / B.Tech with Minimum 60 % marks BSC Mathematics/ Data science Experience: 4-7 Years Responsibilities: Design data-driven solutions to address business challenges. Acquire specialized knowledge in the automotive domain relevant to the problem at hand, seeking expertise from domain specialists as needed. Gain proficiency in the vehicle s IoT device, specifically the Telematics Control Unit. Develop a comprehensive understanding of Time-Series Data. Clean, prepare, and manage datasets for modelling, engaging in the ETL process when necessary. Conduct data exploration to extract insights, present findings to domain experts, identify patterns, seasonality, trends, and causality, and collaborate with domain experts to formulate and test hypotheses. Devise and refine features, evaluate their significance, and determine the machine learning strategy. Engage in data modelling, select suitable machine learning or deep learning algorithms, establish data pipelines for training, perform hyper-parameter optimization, and conduct validation and testing. Implement ensemble techniques if beneficial. Interpret and visualize data through reports and graphical plots. Provide guidance and mentorship to junior data science professionals. Technical Skills / Experience Essential Qualifications: A minimum of 4 years of industry experience in data science. Proficiency in Python programming with experience in pandas , NumPy , matplotlib , and sklearn libraries. Competence in statistical analysis , including descriptive, inferential statistics, and hypothesis testing. Practical experience in mathematical modelling and a variety of machine learning techniques, such as: o Generalized Linear Models (GLM), Boosting Algorithms, Decision Trees, Neural Networks, Support Vector Machines (SVM), and Bayesian Methods. o Econometric analysis. o Deep Learning models including Recurrent Neural Networks (RNNs), Long Short-Term Memory networks (LSTM), and Gated Recurrent Units (GRUs). o Unsupervised learning algorithms and image classification using computer vision. Proven track record of successful model deployment. Desirable Qualifications: Experience with accident simulation tools such as PC crash or OPENPass . Familiarity with time-series and IoT data analytics. Familiarity with LLMs Knowledge of automotive systems, vehicle fundamentals, and Controller Area Network (CAN) protocol

Summary : We are seeking an experienced and data-driven environmental specialist to join our Data Analytics department, focusing on the intersection of environmental science and the automotive industry. The ideal candidate will possess a deep understanding of environmental data analysis, impact assessment methodologies, source apportionment techniques, and atmospheric modeling (particularly WRF). This role involves leveraging data analytics to quantify the environmental footprint of automotive activities, developing data-informed mitigation strategies, interpret complex environmental datasets, and ensure compliance. You will play a key role in guiding our environmental strategy through rigorous data analysis within the automotive context Responsibilities : Apply advanced statistical and data analysis techniques to conduct comprehensive environmental impact assessments related to automotive vehicle lifecycles. Utilize source apportionment methodologies and data modeling to identify, quantify, and attribute contributions of automotive sources to air, water, and soil pollution. Process, analyze, and interpret large datasets from the Weather Research and Forecasting (WRF) model and other relevant atmospheric/environmental models to assess the dispersion and impact of automotive emissions. Analyze environmental and climate datasets to understand the impact of weather patterns and climate change on automotive-related environmental issues. Prepare detailed technical reports, data visualizations, dashboards, and presentations communicating complex environmental findings to internal stakeholders, regulatory bodies, and the scientific community. Design, manage, and analyze data from environmental monitoring programs. Provide expert guidance and mentorship on environmental data analysis techniques to subordinates and colleagues Essential : Minimum of 4 years of professional experience in environmental data analysis, modeling, consulting, research within the automotive sector Strong experience applying source apportionment techniques (e.g., receptor modeling, chemical mass balance) and interpreting the results Good understanding of air quality modelling, emission inventories, statistical analysis, and pollution control technologies relevant to vehicles Proficiency in data analysis programming languages (e.g., Python, R) and relevant libraries/tools (e.g., Pandas, NumPy, SciPy, WRF). Experience with database management and data visualization tools (e.g. Power Bl). Excellent analytical, problem-solving, and quantitative skills. Strong written and verbal communication skills, with the ability to present complex data findings clearly. Desirable : Experience with Life Cycle Assessment (LCA) methodologies and software. Advanced proficiency in Geographic Information Systems (GIS) for spatial environmental analysis. Experience working directly within the automotive industry or Tier 1 suppliers, particularly in a data-focused role. Knowledge of machine learning techniques applied to environmental data. Experience developing predictive environmental models. Project management experience, especially in data-intensive projects.

Educational Qualification: Essential: B.E. / B.Tech/ M. Tech./M.Sc. in any stream Desirable: Specialization in data science or statistics Role : Data Scientist Responsibilities: Data Solutions Architecture: Develop innovative data-driven solutions for business challenges using Telematics data. Collaborate with domain experts to gain automotive insights. IoT Device Mastery: Understand the Telematics Control Unit (TCU) and the time-series data it generates. Data Landscape Analysis: Evaluate data adequacy and establish a comprehensive understanding of the data landscape. Data Preparation: Clean and prepare datasets for modeling. Engage in ETL processes and apply data transformation techniques such as resampling, filtering, and encoding. Exploratory Data Analysis: Conduct exploratory data analysis to derive insights. Present descriptive statistics and insights to domain experts. Identify meaningful patterns, detect seasonality and trends, and establish cause-and-effect relationships. Feature Engineering: Design and select features, study feature importance, and decide on the machine learning strategy. Model Development: Select appropriate machine learning/deep learning models, set up data pipelines for model training, perform hyper-parameter tuning, validation, and testing. Apply ensemble modeling techniques if required. Reporting Visualization: Create comprehensive reports and visualize data using plots and heat maps. Utilize tools like Google Maps API for visualization. Technical Skills / Experience: Essential : Industry Experience: Minimum of 5 years in a data scientist role. Machine Learning Expertise: Experience with machine learning algorithms (e.g., Generalized Linear Models, Boosting, Decision Trees, Neural Networks, SVM, Bayesian Methods, time series models). Hands-on Experience: Proficiency in using machine learning models for regression, classification, and unsupervised learning algorithms. Knowledge of clustering techniques. Cloud Computing: Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform. Programming Skills: Strong programming skills in Python, with experience using libraries like pandas, numpy, matplotlib, and sklearn. Data Visualization: Proficiency in data visualization techniques and tools. Desirable : Databricks Platform: Experience with Databricks for big data processing and machine learning. Distributed Computing: Experience with Spark or other distributed computing frameworks. AutoML Tools: Understanding of tools like AWS Sagemaker, Google AutoML, IBM AutoAI, and Databricks. Telematics Data Analytics: Experience in time-series/IoT data analytics, including data streaming from vehicle on-board IoT devices. Automotive Systems Knowledge: Exposure to automotive systems, basics of automobiles, and Controller Area Network (CAN) protocol. Remote Collaboration: Experience working with remote team members. Advanced Visualization Tools: Experience with data visualization tools such as Tableau and PowerBI. Google Maps API: Working experience with Google Maps API for creating heat maps Behavioral: Analytical Thinking: Strong analytical skills to interpret complex data and derive actionable insights. Problem-Solving: Ability to approach problems creatively and develop innovative solutions. Attention to Detail: Meticulous attention to detail to ensure data accuracy and model reliability. Communication: Excellent communication skills to convey technical information to non-technical stakeholders. Collaboration: Strong team player with the ability to work collaboratively in a cross-functional environment. Adaptability: Flexibility to adapt to changing business needs and evolving technologies. Curiosity: A proactive learner with a curiosity to explore new technologies and methodologies. Time Management: Effective time management skills to handle multiple projects and meet deadlines

Hello, Urgent job openings for Data Science for Bengaluru location. Looking for candidates with experience in Gen AI, LLM, RAG frameworks Job Description given below please go through to understand requirement. if requirement is matching to your profile share your updated resume @ mail id (m.salim@globaldata.com). Mention Subject Line :- Applying for Data Science(Gen AI/LLM) @ GlobalData(Bengaluru) Share your details in the mail :- Your Full Name : Mobile # : Qualification : Company Name : Designation : Total Work Experience Years : Current CTC : Expected CTC : Notice Period : Current Location : Company Overview GlobalData is a leading Data & Analytics company, helping thousands of companies, government organizations, and industry professionals make faster, more informed decisions. Our mission is to help our clients decode the future, ensuring they stay ahead of the competition through innovative and actionable intelligence. We leverage unique data, expert analysis, and cutting-edge technology to provide a platform with unrivalled capabilities. Our solutions span multiple industries, with a strong focus on Artificial Intelligence, Generative AI, and Advanced Data Science applications to drive insights and decision-making. Know more about us: https://www.globaldata.com/ Follow us on LinkedIn: https://www.linkedin.com/company/gd-research-center-pvt-ltd Position Title: Senior Data Scientist Key Responsibilities :- Collaborate with cross-functional teams to deliver ML and AI-driven solutions, including traditional models, LLMs, Generative AI, and Computer Vision projects. Support model development, evaluation, and deployment in a production-grade environment. Engage actively in data exploration, feature engineering, and model refinement Participate in discussions with engineering (data and software) and product managers, ensuring technical feasibility and business alignment. Take ownership of assigned deliverables and demonstrate independent problem-solving and execution skills. Stay updated with the latest advancements in AI/ML and proactively apply learnings to ongoing work. Qualifications :- Bachelors or Masters degree in Computer Science, Data Science, Statistics, Engineering, or a related field. 4+ years of experience in applied data science (internships or projects count). Strong programming skills in Python and experience with libraries like scikit-learn, pandas, TensorFlow, and PyTorch. Familiarity with foundational concepts in ML, DL, NLP, Statistics, and LLMs. Excellent communication skills, especially in cross-team settings with engineering or product stakeholders. Demonstrated curiosity, initiative, and drive to solve diverse problems. Thanks & Regards, Salim (Human Resources)

Role: Senior Data scientist Location: Bengaluru What you ll do We re MiQ, a global programmatic media partner for marketers and agencies. Our people are at the heart of everything we do, so you will be too. No matter the role or the location, we re all united in the vision to lead the programmatic industry and make it better. As a Senior Data scientist in our data science department, you ll have the chance to: Be accountable for end-to-end project delivery. Able to independently own and pitch/execute new analytics capabilities. Have a continuous communication with Solutions Engineering, Sales Engineering on accounts, deliverable timelines and progress of tasks. Seek opportunities for understanding client s challenges and actively pitching custom or existing data science capabilities having business impact Ability to provide recommendations and actionable outcomes from the outputs generated and create a narrative to be shared with the market. Should be able to visualize the outputs easily understood by stakeholders and stitch a story linking to other media aspects being presented Drive growth of generalised capabilities over MiQ s or open-source data sources. Able to identify, infer and evaluate capabilities to enhance current solutions or create new ones Scale strategic accounts by improving over existing solutions or able to build over existing capabilities Drive new initiatives for operational excellence within the team within data science, coding, product and tech Working with local leads to align to respective regional strategies. Identify opportunities and provide updates on teams capabilities and support on account where needed Able to generalize capabilities and workflows increasing team s efficiency Initiatives to research and come up with new ideas to experiment and leading up to new capabilities creating business impact Research new developments across data science and educate team members by trying new POCs Should be able to mentor and guide new hires or interns Active participation in recruitment, designing and managing assignments and interviews Committed to delivers the best towards organizations goals and values Provide constructive feedback to counterparts and work on received feedback Drive brainstorming sessions/ Hackathons/sharing best cases within the team or externally Who are your stakeholders Account managers, traders, sales and analysts: you ll build solutions that are used primarily by internal customers through our proprietary platforms like Lab and Hub. Usually, the requirements and any feedback will go through our project management team. Product management: you ll build solutions as part of the product roadmaps, and these will be used by advertisers and agencies. Any feedback will come through our client-facing product management team. What you ll bring Experienced coder in Python/R Strong understanding of ML algos and applications Experienced in SQL and good hands on Excel Experience working in cloud environments preferably AWS. Ability to write and productionize data pipelines and ML models in a cloud based environment Experience with working at scale using (Pyspark/Rspark) Strong hands on experience of applying ML techniques to business problems. Should have a good understanding of statistics. Good measurement mind frame for measuring impact of ML models 4+ years of experience in applying machine learning, statistical pattern recognition, and data mining algorithms to prediction problems Maintaining code versions and experience working in an agile mode A can-do attitude, with a dream to grow alongside us. We ve highlighted some key skills, experience and requirements for this role. But please don t worry if you don t meet every single one. Our talent team strives to find the best people. They might see something in your background that s a fit for this role, or another opportunity at MiQ. If you have a passion for the role, please still apply. What impact will you create Everything you do will help us lead the programmatic industry and make it better. Your passion for cutting-edge techniques and technologies means you ll build incredible solutions that are able to scale. Plus, you ll get involved in innovation and research, representing MiQ through thought leadership and at industry events. All your work and efforts will help our teams find valuable insights, optimize campaigns, and measure success. What s in it for you MiQ is incredibly proud to foster a welcoming culture. We do everything possible to make sure everyone feels valued for what they bring. With global teams committed to diversity, equity, and inclusion, we re always moving towards becoming an even better place to work. Values Our values are so much more than statements . They unite MiQers in every corner of the world. They shape the way we work and the decisions we make. And they inspire us to stay true to ourselves and to aim for better. Our values are there to be embraced by everyone, so that we naturally live and breathe them. Just like inclusivity, our values flow through everything we do - no matter how big or small. We do what we love - Passion We figure it out - Determination We anticipate the unexpected - Agility We always unite - Unite We dare to be unconventional - Courage Benefits Every region and office have specific perks and benefits, but every person joining MiQ can expect: A hybrid work environment New hire orientation with job specific onboarding and training Internal and global mobility opportunities Competitive healthcare benefits Bonus and performance incentives Generous annual PTO paid parental leave, with two additional paid days to acknowledge holidays, cultural events, or inclusion initiatives. Employee resource groups designed to connect people across all MiQ regions, drive action, and support our communities. Apply today! Equal Opportunity Employer

#LI-LP1 We are seeking a highly skilled and experienced Data Scientist Lead to leverage large datasets for identifying opportunities in product and process optimization. The ideal candidate will utilize models to evaluate the effectiveness of various strategies. This role requires a strong background in data mining, data analysis, data tools, model building and implementation, algorithm development, and simulation execution. A proven track record of driving business results through data-driven insights and the ability to collaborate effectively with diverse stakeholders and functional teams are essential. The successful candidate will be passionate about uncovering data-driven solutions and partnering with stakeholders to enhance business outcomes. Strong management and leadership abilities are a must. Your main duties in flying with us: Collaborate with stakeholders to define data science related business requirements. Identify and automate the collection of valuable data sources. Develop predictive models and machine learning algorithms. Analyze data to identify patterns and trends, translating them into actionable insights (e.g., through Tableau and presentations).Create advanced analytics models to address business needs. Recognize business needs and formulate hypotheses accordingly. Establish plans and monitor team performance. Develop , manage, and evaluate the team to achieve desired results. Build AI/ML models and the capability to improve and fine-tune AI/ML models. Mandatory belongings that you must prepare: Minimum of 8 years of experience as a Data Scientist, with at least 2 years in a leadership role. Bachelor s degree in Computer Science, Statistics, Mathematics, or a related quantitative field. Master and PhD s degree is preferred. Solid understanding of data science and machine learning principles, with demonstrated experience in solving data science challenges. Experience working with diverse data types, including image, NLP, and time series data. Experience with productionalize LLM and GenAI, adept in RAG, MCP and LLM fine tuning. Understanding of the data discovery process to generate business insights. Experience with Cloud Technology, preferably Google Cloud Platform. Proficiency in programming, preferably Python. Excellent communication and collaboration skills for working with cross-functional teams. Strong leadership skills. Creative , innovative, and possesses critical thinking abilities.

NA Key Responsibilities Deliver functional capabilities for Credit Transformation products and initiatives primarily focusing on the credit assessment process SME on the RWA calculator, which is used for RWA, RoRWA and EL calculation. Understanding regulatory requirements and business requirements to manage the change in the calculator Draft and refine user stories, including detailed acceptance criteria Consult with the Chief/Cluster/Product Owners and SMEs to prioritise and shape the product backlog, using Agile best practices for prioritisation around business value Excellent documentation skills, ability to convey complex information with objectivity and brevity Participate in and facilitate relevant scrum ceremonies such as backlog refinement, sprint planning, review, and retrospective sessions Support build and test activities Assist in implementation / rollout including UAT, user trainings, UVT and post go-live support. Proactively support Agile practices and foster a culture of continuous service improvement Drive continuous improvements on processes and user experience using a data driven, structured approach Skills and Experience Delivery focused role with good understanding of the landscape of credit and financial sector Qualifications 15-18 years of work experience in Credit and Credit Transformation activities. Understand key components of RWA calculator and workings Knowledge and experience in credit processes and policies is preferred. Experience with Agile methodology, writing user stories, prioritizing backlog, etc. is essential. Experience in managing project documentation such as user stories and test scenarios using collaboration tools Good strategic thinking in identifying solutions and selecting the best combination of practices Demonstrated ability to work effectively independently and as part of a team, including taking initiative, providing regular updates on your work, seeking, and providing support as required Discover latent customer/user needs by thinking out of the box by challenging requirements and differentiating what is needed from what is wanted Strong problem-solving and planning abilities, high improvement focus, and ability to work in a fast-paced environment Proven ability to perform under a high pressure and dynamic environment Strong communication skills and the ability to engage a wide range of stakeholders 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 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. 25056

Ability to design and implement workflows of Linear and Logistic Regression, Ensemble Models (Random Forest, Boosting) using R/Python Demonstrable competency in Probability and Statistics, ability to use ideas of Data Distributions, Hypothesis Testing and other Statistical Tests. Must have experience in dealing with outliers, denoising data and handling the impact of pandemic like situations. Should be able to perform EDA of raw data feature engineering wherever applicable Demonstrable competency in Data Visualisation using the Python/R Data Science Stack. Should be able to leverage cloud platforms for training and deploying large scale solutions. Should be able to train and evaluate ML model using various machine learning and deep learning algorithm. Retrain and maintain model accuracy in deployment. Knowledge of cloud platforms (AWS, Azure and GCP) Exposure to No SQL databases (MongoDB, Cassandra, Cosmos DB, HBase) Forecasting experience in products like SAP, Oracle, Power BI, Qlik, etc. Proficiency in Excel (Power Pivot, Power Query, Macros, Charts) An experience with large data sets and distributed computing (Hive/Hadoop/Spark) Transfer learning using state of art models in different spaces - vision, NLP and speech. - Integration with external services and Cloud API. Working with data annotation approaches and tools for text, images and videos Should be able to package deploy large scale models on on-premise systems using multiple approaches including docker. Should be able to take complete ownership of the assigned project Experience of working in Agile environments Well versed with JIRA or equivalent project tracking tool

We are looking for a Data Scientist with a strong foundation in Python and a basic understanding of technologies such as Power BI, Pandas, SQL, Machine Learning, and related frameworks. Roles & Responsibilities: Analyze large datasets to identify trends, patterns, and insights. Develop, test, and deploy machine learning models. Use tools and libraries such as Pandas, NumPy, Scikit-learn, and Matplotlib for data analysis and visualization. Create dashboards and reports using tools like Power BI or Tableau. Collaborate with cross-functional teams to understand business problems and deliver data-driven solutions. Participate in code reviews and maintain clear, well-documented code. Continuously learn and stay updated with new technologies and techniques in data science. Requirements: Bachelor’s degree in Computer Science, Information Technology, or a related field. 1 to 2 years of experience as a Data Analyst or Data Scientist. Basic knowledge of front-end technologies such as HTML, CSS, JavaScript, or any other front-end framework. Understanding of RESTful APIs and database concepts (POSTGRESQL & MYSQL). Familiarity with data analysis tools and libraries (e.g., Pandas, NumPy) and basic knowledge of Machine Learning frameworks. Strong problem-solving skills and a willingness to learn. Good communication and teamwork abilities. Send your Resume: rajeshkumar.t@astralbusinessconsulting.com Job Type: Full-time Benefits: Health insurance Provident Fund Schedule: Day shift Supplemental Pay: Performance bonus Ability to commute/relocate: Goldwins, Coimbatore, Tamil Nadu: Reliably commute or planning to relocate before starting work (Preferred) Work Location: In person Application Deadline: 06/06/2025 Expected Start Date: 09/06/2025

If you run toward knowledge and problem-solving, join us About NetApp NetApp is the intelligent data infrastructure company, turning a world of disruption into opportunity for every customer. No matter the data type, workload or environment, we help our customers identify and realize new business possibilities. And it all starts with our people. If this sounds like something you want to be part of, NetApp is the place for you. You can help bring new ideas to life, approaching each challenge with fresh eyes. Of course, you won't be doing it alone. At NetApp, we're all about asking for help when we need it, collaborating with others, and partnering across the organization - and beyond. Data Scientist Bengaluru, India Job category: Information Technology Job ID: 130719-en_US Job summary We are looking for a talented Data Scientist to join our team. The ideal candidate will have a strong foundation in data analysis, statistical models, and machine learning algorithms. You will work closely with the team to solve complex problems and drive business decisions using data. This role requires strategic thinking, problem-solving skills, and a passion for data. Job responsibilities Analyse large, complex datasets to extract insights and determine appropriate techniques to use. Build predictive models, machine learning algorithms and conduct A/B tests to assess the effectiveness of models. Present information using data visualization techniques. Collaborate with different teams (e.g., product development, marketing) and stakeholders to understand business needs and devise possible solutions. Stay updated with the latest technology trends in data science. Develop and implement real-time machine learning models for various projects. Engage with clients and consultants to gather and understand project requirements and expectations. Write well-structured, detailed, and compute-efficient code in Python to facilitate data analysis and model development. Utilize IDEs such as Jupyter Notebook, Spyder, and PyCharm for coding and model development. agile methodology in project execution, participating in sprints, stand-ups, and retrospectives to enhance team collaboration and efficiency. Education IC - Typically requires a minimum of 5 years of related experience.Mgr & Exec - Typically requires a minimum of 3 years of related experience. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, and any protected classification. Why NetApp? We are all about helping customers turn challenges into business opportunity. It starts with bringing new thinking to age-old problems, like how to use data most effectively to run better - but also to innovate. We tailor our approach to the customer's unique needs with a combination of fresh thinking and proven approaches. We enable a healthy work-life balance. Our volunteer time off program is best in class, offering employees 40 hours of paid time off each year to volunteer with their favourite organizations. We provide comprehensive benefits, including health care, life and accident plans, emotional support resources for you and your family, legal services, and financial savings programs to help you plan for your future. We support professional and personal growth through educational assistance and provide access to various discounts and perks to enhance your overall quality of life. If you want to help us build knowledge and solve big problems, let's talk. Submitting an application To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application.

Job Description: We are seeking an experienced and highly skilled Data Scientist to join our dynamic team. The ideal candidate will have a strong background in building scalable data pipelines, analyzing complex datasets, and delivering actionable insights through visualizations and automated workflows. Key Responsibilities: Design and develop robust ETL pipelines to extract, transform, and load data from various sources. Write efficient Python scripts to parse structured and unstructured data from APIs, databases, and flat files. Build and maintain data models that feed into interactive Power BI dashboards and reports . Automate data workflows and reporting processes to improve efficiency and accuracy. Conduct exploratory data analysis (EDA) and mining to derive business insights. Collaborate with cross-functional teams including analysts, engineers, and business stakeholders to define data requirements. Ensure data quality, consistency, and compliance with organizational and industry standards. Required Skills and Qualifications: 3–4 years of professional experience as a Data Scientist or Data Engineer . Advanced proficiency in Python for data manipulation (e.g., Pandas, NumPy ). Strong experience in building/managing ETL pipelines using tools like Airflow , Azure Data Factory , or custom Python scripts. Hands-on expertise in Power BI , including dataset creation, dashboard design, and DAX expressions . Solid knowledge of SQL and relational databases such as PostgreSQL, MySQL, or MSSQL . Familiarity with working with REST APIs , JSON , and data normalization techniques. Experience with cloud platforms (Azure, AWS, GCP) is a plus. Show more Show less

Data Scientist 5 - 7 years of relevant work experience in data analysis or related field (e.g., as a statistician / data scientist / scientific researcher) Fundamental knowledge in fields such as statistics, machine learning, deep learning 3+ years of practical experience developing and deploying production machine learning applications such as supervised learning, unsupervised learning 3+ years of programming skills in Python Interest in researching cutting-edge methods in AI, particularly reinforcement learning (learning via rewards and actions over time) and federated machine learning (training models across decentralized data without moving it)

We’re seeking a skilled Data Scientist with expertise in SQL, Python, AWS SageMaker , and Commercial Analytics to contribute to Team. You’ll design predictive models, uncover actionable insights, and deploy scalable solutions to recommend optimal customer interactions. This role is ideal for a problem-solver passionate about turning data into strategic value. Key Responsibilities Model Development: Build, validate, and deploy machine learning models (e.g., recommendation engines, propensity models) using Python and AWS SageMaker to drive next-best-action decisions. Data Pipeline Design: Develop efficient SQL queries and ETL pipelines to process large-scale commercial datasets (e.g., customer behavior, transactional data). Commercial Analytics: Analyze customer segmentation, lifetime value (CLV), and campaign performance to identify high-impact NBA opportunities. Cross-functional Collaboration: Partner with marketing, sales, and product teams to align models with business objectives and operational workflows. Cloud Integration: Optimize model deployment on AWS, ensuring scalability, monitoring, and performance tuning. Insight Communication: Translate technical outcomes into actionable recommendations for non-technical stakeholders through visualizations and presentations. Continuous Improvement: Stay updated on advancements in AI/ML, cloud technologies, and commercial analytics trends. Qualifications Education: Bachelor’s/Master’s in Data Science, Computer Science, Statistics, or a related field. Experience: 3-4 years in data science, with a focus on commercial/customer analytics (e.g., pharma, retail, healthcare, e-commerce, or B2B sectors). Technical Skills: Proficiency in SQL (complex queries, optimization) and Python (Pandas, NumPy, Scikit-learn). Hands-on experience with AWS SageMaker (model training, deployment) and cloud services (S3, Lambda, EC2). Familiarity with ML frameworks (XGBoost, TensorFlow/PyTorch) and A/B testing methodologies. Analytical Mindset: Strong problem-solving skills with the ability to derive insights from ambiguous data. Communication: Ability to articulate technical concepts to business stakeholders. Preferred Qualifications AWS Certified Machine Learning Specialty or similar certifications. Experience with big data tools (Spark, Redshift) or ML Ops practices. Knowledge of NLP, reinforcement learning, or real-time recommendation systems. Exposure to BI tools (Tableau, Power BI) for dashboarding. Show more Show less

Job Summary We are looking for a talented Data Scientist to join our team. The ideal candidate will have a strong foundation in data analysis, statistical models, and machine learning algorithms. You will work closely with the team to solve complex problems and drive business decisions using data. This role requires strategic thinking, problem-solving skills, and a passion for data. Job Responsibilities Analyse large, complex datasets to extract insights and determine appropriate techniques to use. Build predictive models, machine learning algorithms and conduct A/B tests to assess the effectiveness of models. Present information using data visualization techniques. Collaborate with different teams (e.g., product development, marketing) and stakeholders to understand business needs and devise possible solutions. Stay updated with the latest technology trends in data science. Develop and implement real-time machine learning models for various projects. Engage with clients and consultants to gather and understand project requirements and expectations. Write well-structured, detailed, and compute-efficient code in Python to facilitate data analysis and model development. Utilize IDEs such as Jupyter Notebook, Spyder, and PyCharm for coding and model development. Apply agile methodology in project execution, participating in sprints, stand-ups, and retrospectives to enhance team collaboration and efficiency. Education IC - Typically requires a minimum of 5 years of related experience.Mgr & Exec - Typically requires a minimum of 3 years of related experience. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, and any protected classification. Why NetApp? We are all about helping customers turn challenges into business opportunity. It starts with bringing new thinking to age-old problems, like how to use data most effectively to run better - but also to innovate. We tailor our approach to the customer's unique needs with a combination of fresh thinking and proven approaches. We enable a healthy work-life balance. Our volunteer time off program is best in class, offering employees 40 hours of paid time off each year to volunteer with their favourite organizations. We provide comprehensive benefits, including health care, life and accident plans, emotional support resources for you and your family, legal services, and financial savings programs to help you plan for your future. We support professional and personal growth through educational assistance and provide access to various discounts and perks to enhance your overall quality of life. If you want to help us build knowledge and solve big problems, let's talk. Submitting an application To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application. Apply Show more Show less

About Loyalytics Loyalytics is a fast-growing Analytics consulting and product organization based out of Bangalore. We work with large retail clients across the globe helping them monetize their data assets through our consulting assignments and product accelerators. We are a young dynamic team of 100+ analytics practitioners working on some of the most cutting-edge tools and technologies. Who We Are Technical team : A team full of data scientists, data engineers and business analysts who work with 1M+ data points every day. Market Size : Massive multi-billion $ global market opportunity. Leadership : Combined experience of 40+ years of experience in the industry. Customers : Word-of-mouth and referral driven marketing to acquire customers like big retail brands in GCC regions like Lulu, GMG, among others (Strong product-market fit). What makes us stand apart : 8 years old bootstrapped and 100+ people company that is still hiring. About The Job We are seeking a talented and experienced Data Scientist to join our team. The ideal candidate will have a strong background in statistics, mathematics, and computer science, along with excellent analytical and problem-solving skills. As a Data Scientist, you will be responsible for collecting, analyzing, and interpreting large datasets to identify actionable insights and drive strategic decision-making across the organization. You will work closely with cross-functional teams to understand business needs, design experiments, develop predictive models, and communicate findings to key stakeholders. Responsibilities 3+ years' experience in data science and consulting (Retail industry preferred) Ability to understand the problem statement and implement data science solutions & techniques independently Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. Ability to learn and pick up a new language/tool/ platform quickly. Conceptualize, design, and deliver high quality solutions and insightful analysis. Conduct research and prototyping Data and requirements gathering Collaborate and Coordinate with different functional teams (DE and Product development) to implement models and monitor outcomes. Ability to deliver AI/ML based solutions around host of problems: Hypothesis testing, Z test, T test, ANOVA, Customer Segmentation & Targeting, Propensity Modelling, EDA, etc. Comfortable with working in Agile way of development Development & deployment of solutions that leverage data sciences & advanced analytics to drive incremental value for a retail business (RFM analysis, Mission segmentation, Price Optimization, Promo Optimization, CLTVetc.) Tools/Languages Hands on Experience Required : Python SQL Pyspark Databricks Good To Have Knowledge of any visualization tool Understanding of cloud infra and architecture Experience in Retail domain (ref:hirist.tech) Show more Show less

The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Responsibilities Analyze raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms Collaborate with engineering team to bring analytical prototypes to production Generate actionable insights for business improvements Qualifications Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau) Show more Show less

Senior Data Scientist - Value & Access What you will do Let’s do this. Let’s change the world. In this vital role you will be responsible for developing and deploying advanced machine learning, operational research, semantic analysis, and statistical methods to uncover structure in large data sets. This role involves creating analytics solutions to address customer needs and opportunities. Roles & Responsibilities: Accountable to drive full lifecycle of Data Science projects delivery and ability to guide data scientists in shaping the developing the solution and act as a subject matter expert in solving development and commercial questions Assume the role of business owner and manage the Proprietary AI engine built to optimize Copay Support Amgen Gross to Net and other V&A Transformation initiatives Ensure models are trained with the latest data and meet the SLA expectations Manage AI tool’s road map, working with a global cross functional team Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics. Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information. Perform exploratory and targeted data analyses using descriptive statistics and other methods. Model/analytics experiment and development pipeline leveraging MLOps. Oversee efforts of 1-3 associates, including setting performance standards, managing their staffing, and monitoring performance Collaborate with technical teams to translate the business needs into technical specifications, particularly focusing on AI-driven automation and insights. Develop and integrate custom applications, intelligent dashboards, and automated workflows that incorporate AI capabilities to enhance decision-making and efficiency. What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Master’s degree and 4 to 6 years of computer science, statistics or STEM majors with a minimum of 4 years of Information Systems experience Bachelor’s degree and 6 to 8 years of computer science, statistics or STEM majors with a minimum of 5 years of Information Systems experience OR Diploma and 10 to 12 years of computer science, statistics or STEM majors with a minimum of 5 years of Information Systems experience Foundational understanding of US pharmaceutical ecosystem and Patient support services offerings (Copay) and other standard data sets including claims, prescription Experience with one or more analytic software tools or languages like R and Python Strong foundation in machine learning algorithms and techniques Experience in statistical techniques and hypothesis testing, experience with regression analysis, clustering and classification Preferred Qualifications: Experience in MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow); Experience in DevOps tools (e.g., Docker, Kubernetes, CI/CD) Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn) Outstanding analytical and problem-solving skills; Ability to learn quickly; Excellent communication and interpersonal skills Experience with data engineering and pipeline development Knowledge of NLP techniques for text analysis and sentiment analysis Experience in analyzing time-series data for forecasting and trend analysis Experience with AWS, Azure, or Google Cloud Experience with Databricks platform for data analytics and MLOps Professional Certifications Any AWS Developer certification (preferred) Any Python and ML certification (preferred) Soft Skills: Initiative to explore alternate technology and approaches to solving problems. Skilled in breaking down problems, documenting problem statements, and estimating efforts. Excellent analytical and troubleshooting skills. Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now for a career that defies imagination Objects in your future are closer than they appear. Join us. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

We are seeking a highly experienced and strategic Data Scientist to drive impactful data science initiatives across our organization. This role will focus on solving complex business problems by leveraging predictive and generative AI, agentic AI workflows, and large-scale data analytics. The ideal candidate will have a strong background in both data science and engineering, along with hands-on experience in deploying AI solutions in production environments. Job Description: Key Responsibilities Identify high-impact business opportunities through deep data exploration, EDA, and model prototyping Translate business problems into scientific formulations and design data science solutions accordingly Discover and curate relevant datasets (structured & unstructured) aligned with business goals Lead the extraction, transformation, and compilation of data across multiple sources using tools like SQL, R, and Python Conduct rigorous statistical analysis and experimentation, driving hypothesis formulation and validation Automate analytics and reporting processes to ensure scalability, reduce manual effort, and spot anomalies Develop predictive models to support brand, creative, and audience strategies Analyze and interpret data trends over time to deliver actionable business insights Implement and fine-tune models in production, working closely with ML engineers and developers Deploy, monitor, and optimize predictive and generative AI models at scale Build agentic AI workflows that use contextual and real-time data to produce relevant and validated insights Fine-tune foundation models (e.g., LLMs) using proprietary datasets from multiple sources Integrate and orchestrate data flows across APIs and live feeds to centralize access and accelerate insights Champion model governance and performance tracking over time Collaborate with cross-functional teams (Strategy, Creative, Engineering, Marketing) to align on goals and deliverables Mentor junior data scientists and contribute to knowledge sharing and best practices Qualifications Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, or related field 10+ years of professional experience in data science, including 3–5 years in a lead or principal role 2+ years of domain experience in marketing, creative advertising, or media agency context (highly preferred) Strong programming expertise in Python, with libraries such as pandas, NumPy, Matplotlib, Scikit-Learn, TensorFlow, PyTorch, and Keras Hands-on experience in machine learning and deep learning techniques (classification, regression, clustering, etc.) Expertise in both Predictive AI (Machine Learning / Deep Learning) and Generative AI solutions Experience with agentic AI workflows and reasoning models for insight generation Proficiency with cloud-based platforms like Azure ML, AWS Sagemaker, Azure OpenAI, AWS Bedrock, etc. Advanced SQL skills and experience working with structured and unstructured data Strong communication and leadership skills, with a proven ability to lead data science projects end-to-end Preferred Skills Experience building production-ready APIs or data pipelines for ML models Experience in NLP, LLM fine-tuning, and retrieval-augmented generation (RAG) Familiarity with MLOps and CI/CD workflows for model deployment and lifecycle management Strong stakeholder management and cross-functional collaboration skills Location: DGS India - Pune - Kharadi EON Free Zone Brand: Dentsu Creative Time Type: Full time Contract Type: Permanent Show more Show less

We are seeking a highly experienced and strategic Data Scientist to drive impactful data science initiatives across our organization. This role will focus on solving complex business problems by leveraging predictive and generative AI, agentic AI workflows, and large-scale data analytics. The ideal candidate will have a strong background in both data science and engineering, along with hands-on experience in deploying AI solutions in production environments. Job Description: Key Responsibilities Identify high-impact business opportunities through deep data exploration, EDA, and model prototyping Translate business problems into scientific formulations and design data science solutions accordingly Discover and curate relevant datasets (structured & unstructured) aligned with business goals Lead the extraction, transformation, and compilation of data across multiple sources using tools like SQL, R, and Python Conduct rigorous statistical analysis and experimentation, driving hypothesis formulation and validation Automate analytics and reporting processes to ensure scalability, reduce manual effort, and spot anomalies Develop predictive models to support brand, creative, and audience strategies Analyze and interpret data trends over time to deliver actionable business insights Implement and fine-tune models in production, working closely with ML engineers and developers Deploy, monitor, and optimize predictive and generative AI models at scale Build agentic AI workflows that use contextual and real-time data to produce relevant and validated insights Fine-tune foundation models (e.g., LLMs) using proprietary datasets from multiple sources Integrate and orchestrate data flows across APIs and live feeds to centralize access and accelerate insights Champion model governance and performance tracking over time Collaborate with cross-functional teams (Strategy, Creative, Engineering, Marketing) to align on goals and deliverables Mentor junior data scientists and contribute to knowledge sharing and best practices Qualifications Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, or related field 10+ years of professional experience in data science, including 3–5 years in a lead or principal role 2+ years of domain experience in marketing, creative advertising, or media agency context (highly preferred) Strong programming expertise in Python, with libraries such as pandas, NumPy, Matplotlib, Scikit-Learn, TensorFlow, PyTorch, and Keras Hands-on experience in machine learning and deep learning techniques (classification, regression, clustering, etc.) Expertise in both Predictive AI (Machine Learning / Deep Learning) and Generative AI solutions Experience with agentic AI workflows and reasoning models for insight generation Proficiency with cloud-based platforms like Azure ML, AWS Sagemaker, Azure OpenAI, AWS Bedrock, etc. Advanced SQL skills and experience working with structured and unstructured data Strong communication and leadership skills, with a proven ability to lead data science projects end-to-end Preferred Skills Experience building production-ready APIs or data pipelines for ML models Experience in NLP, LLM fine-tuning, and retrieval-augmented generation (RAG) Familiarity with MLOps and CI/CD workflows for model deployment and lifecycle management Strong stakeholder management and cross-functional collaboration skills Location: DGS India - Pune - Kharadi EON Free Zone Brand: Dentsu Creative Time Type: Full time Contract Type: Permanent Show more Show less

Tech Lead - Data Scientist Chennai - Guindy, India Information Technology 17100 Overview Seeking an experienced Tech Lead Data Scientist with 7 to 9 years of industry experience, including a minimum of 34 years in Machine Learning, NLP, and LLM-Ops, to support the development and deployment of scalable AI solutions. The ideal candidate should have hands-on expertise in Python, AWS, and ML-Ops pipelines, with experience in building RAG systems and working with large language models. This role involves developing production-ready ML systems, automating model workflows, and contributing to high-impact, cloud-based AI initiatives within an agile environment. Responsibilities Lead the design, development, and optimization of end-to-end ML and NLP systems in production environments. Collaborate on the deployment of machine learning models using ML-Ops/LLM-Ops pipelines on AWS or other cloud platforms. Develop Retrieval-Augmented Generation (RAG) systems for complex NLP tasks, ensuring scalability and low-latency processing. Architect solutions for the integration and scaling of ML models in distributed environments using cloud technologies such as AWS, Azure, or Google Cloud . Maintain and enhance large-scale machine learning models in production, ensuring high availability and performance. Drive the automation of model retraining, monitoring, and validation workflows within ML-Ops pipelines. Work with cross-functional teams to create optimized, robust, and scalable machine learning solutions that directly impact the business. Requirements Technical Requirements 4+ years of hands-on experience in Machine Learning (ML), Natural Language Processing (NLP), and working with Large Language Models (LLMs) . Proficiency in Python for ML development and integration into production systems. Strong experience in deploying ML models using AWS (or other cloud platforms) with a focus on ML-Ops practices for continuous integration, deployment, and monitoring. Experience in LLM-Ops and the operationalization of large language models in production environments. Proficiency in developing RAGs (Retrieval-Augmented Generation) systems or similar knowledge-enhanced retrieval frameworks. Strong foundation in software development best practices for AI/ML, including testing, optimization, and performance tuning. Familiarity with cloud services and tools like S3, Lambda, Kubernetes , and Docker for scalable deployments. Preferred Qualifications Hands-on experience with Computer Vision or Reinforcement Learning techniques is a plus. Familiarity with database management using Oracle or PL/SQL . Experience with Agile development processes and tools such as Jira and Confluence . Ability to manage and prioritize multiple projects in a fast-paced, agile environment with a focus on high-quality delivery. Must-Have Qualifications Bachelor's or Master's degree in computer science, Data Science, or related fields from a reputed institution (IIT, DCE, NIT, or equivalent). Proven experience in the full ML lifecycle , from research to production, with a focus on performance, scalability, and robustness. Strong analytical and problem-solving skills, with a creative and entrepreneurial mindset.

Data Scientist Chennai - Guindy, India Information Technology 17006 Overview Data Scientist job description typically involvescollecting, cleaning, analyzing, and interpreting large datasets to uncover insights and build predictive models.He should use data visualization tools to present findings, make recommendations, and communicate their work to stakeholders. Responsibilities Data Collection and Preparation: Gather data from various sources, clean and preprocess it, and transform it into a usable format for analysis. Data Analysis: Conduct exploratory data analysis (EDA), identify patterns and trends, and use statistical methods to extract meaningful insights. Model Building: Develop and implement machine learning algorithms and predictive models to solve business problems. Data Visualization: Create clear and informative visualizations to present findings and communicate insights to stakeholders. Communication: Clearly communicate findings, recommendations, and the implications of data-driven decisions to both technical and non-technical audiences. Problem Solving: Identify business problems, develop data-driven solutions, and evaluate the effectiveness of proposed solutions. Requirements Programming: Proficiency in languages like Python and R, as well as familiarity with data manipulation libraries (e.g., Pandas, NumPy). Statistics and Probability: A strong foundation in statistical concepts, probability distributions, and hypothesis testing. Machine Learning: Knowledge of various machine learning algorithms, model selection, and evaluation techniques.

Job Title: Data Scientist Experience: 8+Years Location: Remote Employment Type: Full-Time Shift Timing: 4 hours overlap with PST timings Job Description : Job Summary: What does a Data Scientist do? As a data scientist, you will be responsible for analyzing and interpreting complex data sets to identify patterns and insights. You will be developing data models and algorithms to support the project needs. Implement data validation strategies to ensure high data quality. Collaborate with AI/ML engineers to integrate data models into the conversion engine system. Present findings and recommendations to stakeholders and management. Not being afraid to fail fast is one of the essential tools an NL Data Scientist can have in the cutting-edge technology market. What you will do: Develop AI-Driven Data Conversion Application : Utilize AI technologies to develop a comprehensive data conversion application. Data Mapping : Implement AI algorithms for accurate data mapping from source to target. Code Generation : Automate code generation using AI models. Data Validation : Apply AI-driven validation techniques to ensure data integrity and quality. Code Conversion : Facilitate seamless code conversion using AI algorithms. Collaboration : Work with data engineers, software developers, AI solution engineers, and business analysts to integrate the data conversion application. Monitor and Troubleshoot : Continuously monitor and troubleshoot the AI-driven application to ensure optimal functionality. Documentation : Maintain detailed documentation of methodologies and processes used in the application development. Stay Updated with Technologies : Keep up-to-date with the latest AI, data science, and data conversion technologies to enhance the application. What you will need to have: Bachelors or Master’s Degree in Data Science, Computer Science, Artificial Intelligence, or a related field. Proficiency in Programming Languages such as Python, SQL, and other relevant languages. Experience with AI/ML Frameworks like TensorFlow, PyTorch, or similar. Knowledge of Data Mapping Techniques : Experience with AI-driven tools and methodologies for data mapping. Strong Code Generation Skills : Experience in developing AI models for automating code generation. Experience with Data Validation : Implementing AI-based validation techniques. Familiarity with Code Conversion : Understanding AI algorithms for code conversion. Experience with Databases like SQL Server and MongoDB. Collaboration Skills : Ability to work effectively with cross-functional teams. Problem-Solving Skills : Strong ability to identify issues and develop creative solutions. Attention to Detail : Ensure accuracy and reliability of data conversions. 5+ Years of Relevant Experience in data science or a related field. Willingness to Fail Fast and learn from mistakes in the fast-paced technology market. Preferred qualifications for consideration: Experience in the Financial Services Industry and an understanding of compliance standards. Certification in Data Science or AI/ML . Experience with Master data management, Data Wrangling and ETL Processes . Familiarity with DevOps Tools like Jira, Confluence, and BitBucket. Experience with data and AI/ML Technologies : Such as NLP/NLU, Azure Cognitive Services, Azure Synapse Analytics, Azure data bricks and Azure ML service. Previous Experience Delivering AI Solutions for complex data or conversions : Seamless Data Schema Conversion, AI-Driven Data Validation for Migration Accuracy, Intelligent Code Generation for Data Transformation Scripts , Historical Data Transformation and Archiving, Intelligent Error Detection and Correction, AI-Augmented Data Reconciliation

Grade HResponsible for supporting the delivery of business analysis and consulting processes and procedures for the defined specialism using sound technical capabilities, building and maintaining effective working relationships, ensuring relevant standards are defined and maintained, and supporting delivery of process and system improvements. Specialisms: Business Analysis; Data Management and Data Science; Digital Innovation. Entity: Technology IT&S Group Job Description: Position Title : Senior Data Scientist Work location Pune, India You will work with The Fleet Team within the Mobility & Convenience organization is a dynamic and integral part of our operations, responsible for the technology underpinning our fleet business globally, supporting the significantly growing number of fleet vehicles in the mobility & convenience space by deploying innovative marketing and consumer engagement strategies. You will be working on solutions for car & van and truck segments across fossil fuel and electric vehicles, enabling Fleet Managers with the digital tools and services to manage complexity across their fleet vehicles and drivers, complying with regulations and reducing total cost of ownership. Let me tell you about the role MLE applies scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data. they design and develop artificial intelligence ( AI ) systems that can learn and make decisions autonomously Their key responsibilities include collecting and analyzing large sets of data, using machine learning algorithms, statistical models, and data processing techniques to predict future trends and provide actionable insights, creating and optimizing machine learning models, developing algorithms that enable machines to perform tasks without explicit programming, and working with large datasets to train these models. They collaborate with data analysts, software engineers, and domain experts to implement machine learning solutions that address specific business needs. Additionally, machine learning engineers are responsible for ensuring the scalability and efficiency of machine learning systems, continuously improving model performance through rigorous testing and validation, and staying updated with the latest advancements in the field. What you will deliver Part of a cross-disciplinary team, working closely with other data scientists, data engineers software engineers, data managers and business partners. Lead a project by creating system design documents, driving the communication with business stakeholders and identifying new opportunities for DS/ML to generate value for the business Build scalable, re-usable, impactful data science products, usually containing statistical or machine learning algorithms, in collaboration with data engineers and software engineers. Carry out data analyses to yield actionable business insights. Adhere to and advocate for engineering best practices (e.g. technical design, technical design review, unit testing, monitoring & alerting, checking in code, code review, documentation). Present results to peers and senior management. Stay updated with the latest advancements in machine learning and AI to incorporate innovative approaches into our solutions. Ensure machine learning systems are scalable, efficient, and maintainable. Actively contribute to improve developer velocity. Mentor others. What you will need to be successful (experience and qualifications) Essential MSc n a quantitative field. Hands-on experience designing, planning, prototyping, productionizing, maintaining and documenting reliable and scalable data science products in complex environments. Applied knowledge of data science tools and approaches across all data lifecycle stages. Thorough understanding of underlying mathematical foundations of statistics and machine learning. Development experience in one or more object-oriented programming languages (e.g. Python, Go, Java, C++) Customer-centric and pragmatic approach. Focus on value delivery and swift execution, while maintaining attention to detail. Strong stakeholder management and ability to lead large organizations through influence. Continuous learning. Desired Experience with big data technologies (e.g. Hadoop, Hive, and Spark) is a plus. PhD in a quantitative field. Knowledge of experimental design and analysis. Advanced SQL knowledge. No prior experience in the energy industry required. About bp bp is a global energy business with a purpose to reimagine energy for people and our planet. We aim to be a very different kind of energy company by 2030, helping the world reach net zero and improving people s lives. We are committed to creating a diverse and inclusive environment where everyone can thrive. Join bp and become part of the team building our future! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Travel Requirement Up to 10% travel should be expected with this role Relocation Assistance: This role is eligible for relocation within country Remote Type: This position is a hybrid of office/remote working Skills: Data Science, Machine Learning, Python (Programming Language)

Data Scientist with experience in projects related to Churn- Machine learning-random Forest-XGBoost-Logistics Regression. candidate must be an immediate Joiner or 30 Days NP