1397 Data Scientist Jobs - Page 42

We are seeking a highly skilled and experienced Data Scientist to join our team and contribute to the development of innovative solutions in the mainframe domain. The ideal candidate will have a strong background in data analysis, machine learning, deep learning and GEN AI domain. This role involves leveraging data to derive insights, build predictive & generative models, and enhance our mainframe services. Here is how, through this exciting role, YOU will contribute to BMC's and your own success: Build out prototypes using a variety of cutting-edge technologies and tools. Develop quantitative models using a variety of programs/software to support predictive assessments. Support adoption of Artificial Intelligence (AI) and Machine Learning (ML) solutions. Perform multiple forms of advanced analyses, sustainment, optimization, text analytics, machine learning, parametric and non-parametric statistical models & techniques. Build, test, validate and demonstrate analytical models through various relevant error metrics and calibration techniques. Design algorithms that require several different models/methods to be used in an ensemble. Deploy models into production. To ensure youre set up for success, you will bring the following skillset & experience: Proven experience as a Data Scientist with expertise in Machine learning, Deep Learning and MLOps. Hands on experience with Prompt Engineering, RAG, LLM Evaluation and LLM Fine tuning. Familiarity with different LLM Architectures. Strong programming skills in languages such as Python. Strong knowledge of statistical analysis, data mining, and machine learning techniques. Experience with machine learning frameworks and libraries (e.g., scikit-learn, TensorFlow, PyTorch). Proficiency in data visualization tools (e.g., Tableau, Kibana) and experience with dashboard creation. Knowledge of SQL for data manipulation Excellent communication skills: demonstrated ability to explain complex technical concepts to both technical and non-technical audiences. Work on complex problems where analysis of situations or data requires an in-depth evaluation of several factors. Self-learner, flexible and able to work in a multi-tasked and dynamic environment. Collaborate with domain experts to understand business requirements and formulate data-driven solutions. Implement strategies for model optimization, taking into account the constraints and requirements of mainframe environments. Whilst these are nice to have, our team can help you develop in the following skills: Bachelors degree in computer science, Engineering, or a related field with 8 years of Data Science, or a related field experience. Hands on experience with Prompt Engineering, RAG, LLM Evaluation and LLM Fine tuning Solid understanding in NLP concepts and familiarity with NLP libraries. Familiarity in writing Python backend APIs using Fast API, Flask or other frameworks. Knowledge of fine tuning LLMs including Llama, BERT and GPT based. Self-starter and intellectual curiosity Great communication skills, ability to explain predictive analytics to non-technical audience. Familiarity with machine learning frameworks and libraries. Proficiency in data exploration techniques and tools Familiarity with observability tools and practices. Familiarity with cloud platforms (e.g., OCP, AWS, Azure, GCP). Knowledge of statistical analysis, hypothesis testing, and data visualization techniques. Experience with Agile methodology, use of Atlassian products Jira, Confluence. Worked on multiple Gen AI projects and delivered them E2E successfully. Knowledge of forecasting and predictive modeling. Any Azure or AWS Cloud certification Experience with big data technologies (e.g., Hadoop, Spark). Familiarization with DevOps tools and concepts such as Infrastructure as code, Jenkins, Ansible, and Terraform. Mainframe knowledge is a plus.

1.5+ years of hands-on experience in data science or analytics. Proficient in Python, statistics, SQL, Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, Tableau Passion for teaching and a strong desire to help learners succeed.

To support and provide input into the digital strategy roadmap with focus on identifying opportunities and the development of design automation solutions with the support of digital and automation head within the Maintenance and Operation Groups and imparting training. To assist in upgradation projects, analytics/,artificial intelligence with respect to software including firewalls and servers as we'll as troubleshooting with respect to software usage for Hot Line, Cold Line, Finishing Line and provide support related to IBA Configuration and Kepware Connectivity with Individual Machine. To assist in implementation of IIOT for risk management, artificial intelligence and augmented reality projects and analytics through VEDA, Neptunus , MTEL as we'll as safety compliance and reporting with respect to PPE usage. Data Scientist responsibilities include: Undertaking data collection, pre-processing and analysis Building models to address business problems Presenting information using data visualization techniques. Job Context & Major Challenges This position will be responsible :- Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams This role is required to assist in upgradation projects with respect to software aspects of network switches, firewalls, new servers, complete cabling of fiber optics. Criticality is assisting in Industry 4.0. project initiatives and its implementation across the plant with focus on cyber security project consisting threat detection software (Clarity), managed network switches, next generation firewalls, new servers. A critical element of the role is to assist in implementing IIOT (Industrial Internet of Things) and monitoring analytics so that big data downtime prediction breakdown prediction and risk management shared by machine centers. It involves facilitating data exchange between machine and central network and leveraging artificial intelligence for augmented reality projects. Criticality is to assist in providing reliable process data automation (auto data log in) of production data across different machine centres. This role is also required to assist in safety compliance and reporting with respect to PPE usage. Critical aspects are supporting operation and maintenance of VEDA (video analytics) and analytical prediction software (Neptunus System & Aspen MTEL System as we'll as installation and continuous monitoring of firewall/ anti virus software towards cyber security across the plant. Other important aspects of the role are supporting Automation engineer to add data from Scada to SQL, data from IBA to Central IBA, providing and maintaining data for user in any form required by them for third party Integration, supporting individual automation engineer to maintain and troubleshoot database for Individual machine, assisting in maintaining Siemens, Rockwe'll and GE software Backup with help of Automation Engineer of respective area, working with vendor to maintain IIOT and Cybersecurity Software, assisting in Digital Project initiative, maintaining L2 Data from SQL to Ekaayan, maintaining Document related to Software and License of Central Server, giving support related to Thingworx IIOT Platform and helping User to troubleshoot data related issue, giving support in respect of creating interface between machine to machine to maintain seamless data flow, providing and maintaining data for user in any form required to them, Job Challenges: oNot disturbing existing operation of plant during changeover of systems oRetaining skilled manpower to maintain the sophisticated equipment and drive digitization oLimited resources to manage the such huge and complicated OT network. oContinuous Data Connectivity and accessibility across different machine centers for OT cyber security oSystem for IIOT platform interim data backup plan to upkeep IIOT functionality and restoration through cloud platform. oCentralized antivirus server for OT assets and its system control for patch update. oCentralized health monitoring system for OT assets across the plant . Key Result Areas KRA (Accountabilities) (Max 1325 Characters) Supporting Actions (Max 1325 Characters) KRA1 1)Business Excellence Assisting in continuous availability of network switches, firewalls, new servers across Hotline, Cold line and Finishing Line through preventive and breakdown maintenance as we'll as shutdown and overhauling Assisting in driving artificial intelligence and augmented reality project, and monitors analytics Implementing of Standard Maintenance Practices of OT Assest Assisting in availability of Central IBA system for process data Availability Assisting in maintaining Veda System to improve the safety standard of the plant Assisting in monitoring analytics in IIOT Platform to meet the business need and add values to plant KRA2 2)Cost Giving inputs for planning and budgeting with respect to CAPEX related to software associated with digitization and automation Implementing cost saving initiatives by driving continuous process improvement without compromising quality KRA3 3)Cash Monitoring spares and consumables inventory in area under jurisdiction so as to optimize working capital and improve profitability and cash flows Monitoring energy consumption within budget KRA4 4)Customer Supervising data exchange between machine and central network and installing gadgets/ cards, machine centres connected with the network to support operations Minimising response time in providing information and solutions to all internal and external customers KRA5 5)Sustainability & Compliance Implementing IIOT (Industrial Internet of Things) towards sharing big data by machine centres for downtime prediction breakdown prediction and risk management Ensuring compliance of all statutory and environmental norms to the satisfaction of all statutory bodies/ auditors Driving digitisation projects Driving WCM, Kaizen and improvement projects for continuous improvement and greater sustainability KRA6 6)Safety Implementing cyber security involving installation of firewall/ anti virus software for cyber security Assisting in maintaining Veda System to improve the safety standard of the plant Safety compliance and reporting with respect to PPE usage Qualifications: B.E.M.B.A Minimum Experience Level: 3-6 Years Report to: Assistant General Manager

As a Data Scientist lead within the Data and Analytics team, you will drive the analytics book of work, transforming Chase s cross-channel, cross-line of business acquisition strategy to a hyper-personalized, data-driven, customer-centric model. You will partner strategically across the firm with marketers, channel owners, digital experts, and the broader analytics community to help drive business goals through deep understanding of marketing analytics and optimization. Job Responsibilities Develop the analytics framework and data infrastructure necessary to support the platform team in evaluating value addition. Define and assess the OKRs and goals related to the platforms performance. Provide top-tier business intelligence through dashboards and executive reporting to the Acquisitions Center of Excellence and Line of Business leadership. Construct business cases that drive prioritization and investment in Acquisition & Enablement Platforms. Communicate effectively with product, technology, data, and design teams to identify and advance a data-driven analytical roadmap. Serve as the Acquisition Center of Excellence Analytics local site lead, overseeing local operations and contributing to the expansion of the teams presence in India. Required Qualifications, Capabilities, and Skills 5+ years leveraging data visualization tools for data exploration and marketing performance evaluation. Proven ability to lead and manage teams effectively, showcasing strong leadership skills. Experience in querying big data platforms and SAS/SQL. Comfort building and managing relationships with both analytics and business stakeholders. Proven track record of problem-solving using data and building new analytics capabilities. Talent for translating numbers into an actionable story for business leaders. Experience with best-in-class web analytic tools (Google Analytics, Adobe/Omniture Insight/Visual Sciences, Webtrends, CoreMetrics, etc). Superior written, oral communication and presentation skills with experience communicating concisely and effectively with all levels of management and partners. Bachelor s degree is required, with data science, mathematics, statistics, econometrics, engineering, MIS, finance, or related fields accordingly. Preferred Qualifications, Capabilities, and Skills Financial services experience preferred. Tableau experience preferred. Familiarity with Teradata, AWS, & Snowflake preferred.

Overview: Leading AI-driven Global Supply Chain Solutions Software Product Company and one of Glassdoor s Best Places to Work Seeking an astute individual that has a strong technical foundation with the additional ability to be hands-on with the broader engineering team as part of the development/deployment cycle, and deep knowledge of industry best practices, Data Science and Machine Learning experience with the ability to implement them working with both the platform, and the product teams. Scope Our machine learning platform ingests data in real time, processes information from millions of retail items to serve deep learning models and produces billions of predictions on a daily basis. Blue Yonder Data Science and Machine Learning team works closely with sales, product and engineering teams to design and implement the next generation of retail solutions. Data Science team members are tasked with turning both small, sparse and massive data into actionable insights with measurable improvements to the customer bottom line. Our current technical environment: Software: Python 3.* Frameworks/Others: TensorFlow, PyTorch, BigQuery/Snowflake, Apache Beam, Kubeflow, Apache Flink/Dataflow, Kubernetes, Kafka, Pub/Sub, TFX, Apache Spark, and Flask. Application Architecture: Scalable, Resilient, Reactive, event driven, secure multi-tenant Microservices architecture. Cloud: Azure What we are looking for: Bachelor s Degree in Computer Science or related fields; graduate degree preferred. Solid understanding of data science and deep learning foundations. Proficient in Python programming with a solid understanding of data structures. Experience working with most of the following frameworks and libraries: Pandas, NumPy, Keras, TensorFlow, Jupyter, Matplotlib etc. Expertise in any database query language, SQL preferred. Familiarity with Big Data tech such as Snowflake , Apache Beam/Spark/Flink, and Databricks. etc. Solid experience with any of the major cloud platforms, preferably Azure and/or GCP (Google Cloud Platform). Reasonable knowledge of modern software development tools, and respective best practices, such as Git, Jenkins, Docker, Jira, etc. Familiarity with deep learning, NLP, reinforcement learning, combinatorial optimization etc. Provable experience guiding junior data scientists in official or unofficial setting. Desired knowledge of Kafka, Redis, Cassandra, etc. What you will do: As a Senior Data Scientist, you serve as a specialist in the team that supports the team with following responsibilities. Independently, or alongside junior scientists, implement machine learning models by Procuring data from platform, client, and public data sources. Implementing data enrichment and cleansing routines Implementing features, preparing modelling data sets, feature selection, etc. Evaluating candidate models, selecting, and reporting on test performance of final one Ensuring proper runtime deployment of models, and Implementing runtime monitoring of model inputs and performance in order to ensure continued model stability. Work with product, sales and engineering teams helping shape up the final solution. Use data to understand patterns, come up with and test hypothesis; iterate. Help prepare sales materials, estimate hardware requirements, etc. Attend client meetings, online and onsite, to discuss new and current functionality

Job Description: We are seeking a motivated and detail-oriented Associate with experience in data science and database management to join our team as a Data Science FCC Analytics professional. In this role, you will support the development and implementation of analytical solutions to identify and prevent financial crimes within our organization. Responsibilities: - Assist in utilizing data science techniques to develop predictive models and analytical tools for detecting financial crimes such as money laundering, fraud, and sanctions violations. - Conduct data analysis to identify patterns, trends, and anomalies that may indicate suspicious activities, under the guidance of senior team members. - Collaborate with cross-functional teams to contribute to the design and implementation of data-driven solutions that enhance FCC processes and controls. - Stay informed about industry trends and regulations related to FCC analytics and support the integration of best practices into our analytical solutions. - Participate in presenting findings and insights to stakeholders, providing valuable contributions to improve FCC strategies and decision-making processes. Qualifications: - Bachelor's degree in Data Science, Statistics, Computer Science, or a related field. - 1-2 years of experience applying data science techniques, machine learning algorithms, and statistical modeling in the context of FCC analytics. - Experience in model building activities, including feature engineering, model selection, and evaluation. - Proficiency in database management systems such as SQL for data manipulation and analysis. - Familiarity with FCC regulations, risk management principles, and compliance frameworks. - Strong communication skills and the ability to work effectively within a team environment.

Job Role: As a Senior Data Scientist, you will be responsible for designing, developing and productionizing of ML-driven solutions to business problems. You will work closely with local and onshore team of data scientists and stakeholders to understand their needs and pain points, and then translate those into actionable data science projects. Your primary focus will be statistical data analyses and helping build high-quality predictive models integrated with our products. The ideal candidate is an experienced data wrangler with a deep understanding of data science principles and a proven track record of delivering ML-driven solutions. S/he will effectively communicate complex technical concepts to technical and non-technical audiences. Key Responsibilities: Plan, productionize, and document scalable Data Science solutions Understand the business problem from stakeholders and convert it to actionable tasks Driven to create in-depth Exploratory Data Analysis and Feature Engineering; experienced with ML Ops Adept at standard and latest ML algorithms and Model explainability. Knowledge about causal inference is a great to-have Help mentor and guide Data Scientists Qualifications - Internal Key Requirements: Experience : At least 8 years of relevant experience Education: Bachelor s or master s degree in computer science or mathematics, Statistics or a related field. PhD with lesser experience is welcome. Required Skills: Proficient in ML models across supervised and unsupervised learning, along with knowledge of Deep Learning models using TensorFlow / PyTorch Experienced in Natural Language Processing with focus on Transformer models Experienced in using Generative AI. At least one project implementation is expected Knowledge in MLOps is recommended Extensive coding experience in Python (and R) as well as scripting in SQL Visualization of outputs, using Tableau/ Power BI/ Streamlit, along with crisp communication Strong ability to assess the business problem and suggest applicable data science solutions Great at presenting and explaining model results to any kind of audience Personal Attributes: Ability to adapt and work with a distributed team Ability to manage multiple initiatives Ability to work with ambiguous requirements, seek clarity and manage risks. Ability to communicate complex concepts in a simple yet intelligent way

Job Description We are looking for a candidate with 5+ years in Machine learning & good exposure to python/R/cognitive services that will help us to find insights from big data and build Machine learning algorithms for our machine learning systems. Your primary focus will be in applying data mining techniques, doing statistical analysis, and writing python/R codes for developing Machine learning algorithms. Responsibilities: Requirement gathering, solutioning & client interaction Translate requirement into AI/ML solution Leading & mentoring a team of Data Scientists Data mining over varied data sources Identify key evaluation metrics Processing, cleansing, verifying integrity of data used for analysis Writing Python/R codes to use state of the art techniques for building and optimizing classifiers using machine learning techniques Ad-hoc analysis and results presentation in cleaner manner Qualifications Experience with common data science libraries such as Numpy, Pandas etc. Experience in Text data used NLP is mandatory. Experience scripting and programming skills with Python/R/Cognitive services. Framew

Key Responsibilities: Design, develop, and optimize NLP models for text classification, sentiment analysis, chatbots, and language generation. Work with deep learning models such as Transformers (BERT, GPT, LSTMs) to enhance NLP capabilities. Implement and fine-tune machine learning algorithms for text analytics and information extraction. Collaborate with data engineers and software developers to integrate NLP solutions into real-world applications.

Key Responsibilities: Design, develop, and optimize NLP models for text classification, sentiment analysis, chatbots, and language generation. Work with deep learning models such as Transformers (BERT, GPT, LSTMs) to enhance NLP capabilities. Implement and fine-tune machine learning algorithms for text analytics and information extraction. Collaborate with data engineers and software developers to integrate NLP solutions into real-world applications.

Key Responsibilities: Design, develop, and optimize NLP models for text classification, sentiment analysis, chatbots, and language generation. Work with deep learning models such as Transformers (BERT, GPT, LSTMs) to enhance NLP capabilities. Implement and fine-tune machine learning algorithms for text analytics and information extraction. Collaborate with data engineers and software developers to integrate NLP solutions into real-world applications.

Skills: Excellent knowledge of Data Structures and Algorithms Great programming skills in Python Working knowledge C++ Experience in AI/ML, Data Science, CNN, RNN, LLM Classification, Clustering. Job Responsibilities: Designing and developing AI/ML algorithms to solve different technical problems in the domain of 3GPP. Explaining the designed data science algorithms clearly in document and presenting the same to support the innovation. Working in a team and share the responsibilities of integration, productisation and deployment.

Your role Location: Chennai Work Hours: 12 PM - 9 PM IST Work Mode: Onsite - 5 days a week Corpay is seeking an experienced Lead Data Scientist for our Cross-Border line of business. In this pivotal role, you will work closely with the North America Quantitative Analytics leadership team to lead and deliver high-impact data analysis and reporting in support of our Credit and Treasury functions. You ll lead a small team of analysts, provide mentorship and guidance, and ensure high-quality output - while remaining a strong individual contributor. This role is ideal for someone who thrives in a dynamic, high-impact environment, with a strong foundation in data analytics and engineering, and a keen interest in learning compliance and risk over time. What youll be doing Deliver and maintain complex business-as-usual (BAU) reports. Provide guidance and mentorship to junior and senior data scientists, ensuring quality and timely delivery of reporting and analysis. Partner with onshore teams to understand evolving data needs and business challenges. Perform detailed analysis on large and varied datasets, ensuring high data quality and actionable insights. Support integration of new data sources and adapt quickly to dynamic datasets. Proactively identify process inefficiencies and propose control measures or automation solutions. Drive operational reporting enhancements using SQL, Python, and Excel. Participate in the development and refinement of dashboards and visualizations when needed. Ensure timely communication and alignment with global stakeholders. 8-12 years of experience in data analysis, data engineering, or related roles. Bachelor s or Master s degree in Computer Science, Mathematics, Engineering, Statistics, or a related field. Strong proficiency in SQL, Python, and Excel . Working knowledge of VBA, data visualization, or AI tools is a bonus. Experience leading small teams and collaborating with cross-functional stakeholders. Familiarity with financial services is preferred but not required. Strong communication, troubleshooting, and time management skills. Comfort with shift hours and working from office is mandatory . About Corpay Corpay is a global technology organisation that is leading the future of commercial payments with a culture of innovation that drives us to constantly create new and better ways to pay. Our specialized payment solutions help businesses control, simplify, and secure payment for fuel, general payables, toll and lodging expenses. Millions of people in over 80 countries around the world use our solutions for their payments. All offers of employment made by Corpay (and its subsidiary companies) are subject to the successful completion of satisfactory pre-employment vetting by an independent supplier (Experian). This is in accordance with Corpays Resourcing Policy and include employment referencing, identity, adverse financial, criminal and sanctions list checks. We do this to meet our legal and regulatory requirements. Corpay is dedicated to encouraging a supportive and inclusive culture among our employees. It is within our best interest to promote diversity and eliminate discrimination in the workplace. We seek to ensure that all employees and job applicants are given equal opportunities. Notice to Agency and Search Firm Representatives: Corpay will not accept unsolicited CVs from agencies and/or search firms for this job posting. Resumes submitted to any Corpay employee by a third party agency and/or search firm without a valid written & signed search agreement, will become the sole property of Corpay. No fee will be paid if a candidate is hired for this position as a result of an unsolicited agency or search firm referral. Thank you.

Key Responsibilities: Design, develop, and optimize NLP models for text classification, sentiment analysis, chatbots, and language generation. Work with deep learning models such as Transformers (BERT, GPT, LSTMs) to enhance NLP capabilities. Implement and fine-tune machine learning algorithms for text analytics and information extraction. Collaborate with data engineers and software developers to integrate NLP solutions into real-world applications.

Key Responsibilities: Design, develop, and optimize NLP models for text classification, sentiment analysis, chatbots, and language generation. Work with deep learning models such as Transformers (BERT, GPT, LSTMs) to enhance NLP capabilities. Implement and fine-tune machine learning algorithms for text analytics and information extraction. Collaborate with data engineers and software developers to integrate NLP solutions into real-world applications.

Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees passion for travel and ensure a rewarding career journey. We re building a more open world. Join us. This role is part of the Home team within the Product Analytics and Experimentation organization. The team supports the Product team by providing insights and incrementally measurement to help inform decisions on product features. Our team is looking for an established performer who consistently applies analytical capabilities, principles, and playbooks to solve business problems, with moderate guidance and direction. The role involves regular interaction with stakeholders up to the Senior Manager level. In this role, you will: Extract and integrate data from multiple sources to support model building and analytics. Design and recommend both simple and complex experiments (e.g., A/B, pre/post, causal impact) to address business questions. Build basic models (e.g., linear, logistic, clustering) and select appropriate data structures and formats. Develop and maintain basic data pipelines and workflows that support modeling tasks. Work with stakeholders in an iterative, collaborative process to refine project scope and requirements. Apply business knowledge to shape modeling questions, select features, and guide decisions. Deliver clear and concise data stories and visualizations that support decision-making. Automate recurring reporting and dashboarding tasks across multiple platforms (web, app, geo). Share documentation, code, and project artifacts (e.g., executive summaries, tech docs, visualizations) with relevant audiences. Communicate project goals, methods, caveats, and insights to both technical and non-technical stakeholders. Collaborate openly with analytics peers through brainstorming, peer review, and knowledge sharing. Train and enable stakeholders to use dashboards and self-service tools; promote data literacy. Troubleshoot and resolve data issues and ensure efficient query and pipeline performance. Uphold best practices for code sharing and documentation using tools like GitHub, IEX, and Confluence. Continuously seek feedback and apply it to improve current and future projects. Experience and qualifications: Experience 1-2 years of experience in a data analytics role for Bachelor s/Master s graduates (preferably in Mathematics or a scientific discipline), or 2+ years in a comparable professional setting. Proven track record of delivering data-driven insights and recommendations that led to business impact or performance improvements. Technical Skills Intermediate proficiency in R , Python , or SQL for analyzing, structuring, and visualizing large datasets. Competent in extracting, transforming, and combining data from multiple sources. Able to build basic models (e.g., linear/logistic regression, clustering) and support them with appropriate data formats. Experienced in writing efficient, reusable code and creating basic data pipelines. Familiarity with tools like GitHub, IEX, and Confluence for code sharing and documentation. Working knowledge of query optimization and data quality best practices. Statistical & Analytical Knowledge Basic understanding of probability, descriptive statistics (e.g., ANOVA, regression), and frequentist concepts. Ability to design and interpret experiments (e.g., A/B, pre/post, causal impact). Capable of framing business problems as analytical tasks and selecting suitable methodologies. Business & Domain Knowledge Strong business acumen with the ability to align analytics to strategic objectives. Understanding of key data sources, their business context, and appropriate use in modeling. Ability to identify relevant features and guide model design decisions. Communication & Collaboration Strong communication and influencing skills, with experience tailoring insights to both technical and non-technical audiences. Skilled in creating clear, audience-appropriate data visualizations, with awareness of inclusive design principles. Collaborative team player open to feedback, peer review, and knowledge sharing. Mindset & Problem Solving Demonstrated critical thinking and curiosity with a proactive, solutions-focused approach. Comfortable working iteratively and independently, adjusting based on feedback and findings. Strong skills in information gathering, problem solving, and continuous learning. Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request . We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Groups family of brands includes: Brand Expedia , Hotels.com , Expedia Partner Solutions, Vrbo , trivago , Orbitz , Travelocity , Hotwire , Wotif , ebookers , CheapTickets , Expedia Group Media Solutions, Expedia Local Expert , CarRentals.com , and Expedia Cruises . 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. . Never provide sensitive, personal information to someone unless you re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs . Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

What You'll Do: You will work directly as part of AA CoE and be a part of analytics focused projects across statistics, optimization & simulations, machine learning and Big Data. Your role will involve design and implementation of advanced statistical analysis and machine learning algorithms to derive business insights and solve complex business problems. This includes gathering and analyzing information, formulating and testing hypotheses, and developing and communicating recommendations. You may also be responsible for presenting results to management and implementing recommendations with team members. Youll have the opportunity to gain new skills and build on the strengths you bring to the company. Main task: • Design and implement machine-learning models to support the businesss numerous initiatives and programs with a view of achieving overall objectives and targets • Successful documentation of reusable code • Achieve personal technical development and learning goals • Conduct knowledge sharing sessions internally within the CoE as well as externally in meetups, conferences etc. Participate in and help plan cultural initiatives for CoE Qualifications • University degree in Computer Science, Engineering, Applied Mathematics or related fields and excellent academic record required; Master’s degree in above mentioned subjects preferred • 2-3 years of technical experience in handling large datasets and applying advanced statistical and machine learning algorithms • Hand-on experience in methodologies such as: Supervised and Unsupervised Learning, Feature Engineering, Bayesian Statistics, Frequentist Statistics, Optimization, Time Series, Graph/Network Theory, Reinforcement Learning, Deep Learning, Computer Vision, NLP, Interpretable AI, etc. • Proficiency with at least one of the following languages: R, Python, SAS and experience of working with SQL/NoSQL databases • Experience of working on platforms such as GCP, Dataiku, AWS, Azure, etc. • Stakeholder management skills with ability to communicate and work with senior management effectively • Skills to communicate complex ideas effectively Interested candidates can send their resume on a mail - Resumesktk@muthootgroup.com

Key Responsibilities: Design, develop, and optimize NLP models for text classification, sentiment analysis, chatbots, and language generation. Work with deep learning models such as Transformers (BERT, GPT, LSTMs) to enhance NLP capabilities. Implement and fine-tune machine learning algorithms for text analytics and information extraction. Collaborate with data engineers and software developers to integrate NLP solutions into real-world applications.

Required skillsets: Proven experience as a Data Scientist or similar role in a consulting or corporate environment. Proficient in programming languages such as Python or R. Experience with data manipulation and analysis using SQL and big data technologies. Strong knowledge of machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Research and develop cutting-edge AI models and components to solve client-specific challenges. Collaborate with clients and cross-functional teams to define project scopes and deliver innovative AI solutions. Optimize AI algorithms for performance and scalability.

Warm Greetings from Dataceria Software Solutions Pvt Ltd . We are Looking For: Senior Data Scientist -------------------------------------------------------------------------------------------------------------- We are seeking a highly skilled Senior Data Scientist to lead the development of classification models and customer segmentation strategies for a major investment bank. This role is central to profiling the existing client base on legacy infrastructure and supporting business stakeholders in defining clear migration paths to modern platforms such as Data Mesh. Responsibilities: Lead the design and implementation of classification models to categorize clients based on product usage, service engagement, and behavioral patterns. Develop robust customer segmentation strategies to support personalization and migration strategies. Collaborate closely with stakeholders across business and technology to understand legacy data landscapes and future-state architecture. Oversee and mentor a small team of data scientists and analysts. Conduct advanced analysis using Python and SQL; apply machine learning techniques for predictive insights. Translate complex data findings into clear business narratives and actionable outcomes. What we're looking for in our applicants: 8+ years of experience in data science, preferably in financial services or investment banking . Proven expertise in machine learning, particularly classification and clustering models. Advanced proficiency in Python ( Pandas, Scikit-learn, etc.) and SQL. Experience leading technical teams or mentoring junior data professionals. Strong understanding of client lifecycle in financial institutions and regulatory considerations. Familiarity with data migration strategies and legacy modernization projects is a plus. ---------------------------------------------------------------------------------------------------------------------------------------------------- Joining: Immediate Work location: Bangalore (hybrid) , Chennai. Open Positions: Senior Data Scientist If interested, please share your updated resume to carrers@dataceria.com: We welcome applications from skilled candidates who are open to working in a hybrid model. Candidates with less experience but strong technical abilities are also encouraged to apply. ----------------------------------------------------------------------------------------------------- Thanks, Dataceria Software Solutions Pvt Ltd Follow our LinkedIn for more job openings : https://www.linkedin.com/company/dataceria/ Email : careers@dataceria.com ------------------------------------------------------------------------------------------------------

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities Oversee the Analytics team, ensuring the development of analytical solutions for 30+ markets in the US Build and manage a global team of 30+ data analysts and scientists Handle team building, goal setting, development plans, and team restructuring Provide direction and oversight for the architecture, technical design, development, quality assurance, and support readiness of analytics projects Manage the planning and roadmap definition for all analytics solutions within the analytics projects Collaborate with senior leadership, stakeholders, and infrastructure teams to define technical architecture, policies, processes, and budget management Drive innovation and build strategies for technology modernization, including infra modernization and cloud adaptation Foster positive relationships with internal and external customers to ensure profitability and customer satisfaction Utilize the OKR (Objectives and Key Results) approach to define and track team goals and accomplishments Ensures that all the standard requirements have been met and is involved in performing the technical analysis Assists the project manager by compiling information from the current systems, analyzing the program requirements and ensuring that it meets the specified time requirements Resolves moderate problems associated with the designed programs and provides technical guidance on complex programming Develop and implement analytics solutions for 31 states using structured and unstructured data stored in Snowflake Apply advanced statistics, data science methodologies, and AI practices, including generative AI skills leveraging GPT models Perform data mining, cleaning, and aggregation processes to prepare data for analysis Query and manage data in Snowflake, ensuring data quality and integrity Communicate complex data insights through storytelling with data and visualizations using Power BI Collaborate with non-technical and functional stakeholders from health plans to provide prescriptive analytics and help them find answers to data questions Lead and mentor junior data scientists, providing guidance on best practices and methodologies Ensure expertise with ML Ops for deploying and managing machine learning models in production Work in an agile environment, contributing to sprint planning, reviews, and retrospectives Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications 8+ years of experience in data science, with a solid background in traditional ML modeling, statistics, and data science methodologies Experience with ML Ops and deploying machine learning models in production Proficiency in Microsoft Fabric, Azure Stack, Azure ML, and Snowflake querying Expertise in AI practices, including generative AI skills leveraging GPT models Solid skills in storytelling with data and creating visualizations using Power BI Familiarity with embeddings and other advanced data science techniques Proven excellent communication and collaboration skills to work with non-technical stakeholders Ability to work in an agile environment and contribute to team success Preferred Qualifications Master’s degree in Data Science, Statistics, Computer Science, or a related field Experience with healthcare data and knowledge of the healthcare industry At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. The Enterprise Intelligence Suit (EIS) is seeking a Data Scientist 2 to support various Optum Insights data science projects. This position is responsible for end-to-end model development for our clients in provider and payer segments. We are investing significantly in new capabilities to design, develop and deliver better solutions for these clients. We are seeking people with proven experience conceptualizing, defining and delivering solutions that enable data science teams to build and scale Machine Learning and Artificial Intelligence models that will power these solutions. Primary Responsibilities Take lead on data science projects to design and implement models and experiments from end to end, including data ingestion and preparation, feature engineering, analysis and modeling, model deployment, performance tracking and documentation Improve and extend the analytic methods in our products Conduct hands-on data analysis and predictive analytics on large datasets Effectively communicate complex technical results to business partners Support and drive analytic efforts around machine learning and innovation Work with a great deal of autonomy to find solutions to complex problems Review the work of others and serve as a leader/mentor Subject matter expert for our clients Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Bachelor’s degree in Biostatistics, Mathematics, Economics, Computer Science, Theoretical Physics, Quantitative Social Sciences, Statistics, Information Systems, or relevant experience 3+ years of hands-on experience developing machine learning/deep learning models (Can be business/corporate experience and/or academic), Gen AI solutions 3+ years of experience working with healthcare data Experience applying computational algorithms and statistical methods to structured and unstructured data Experience breaking down and clearly defining problems Experience communicating highly technical results to a diverse audience Solid proficiency in advanced data science tools such as Python, Spark, SQL Comfort working as part of a team and taking the lead, as opposed to solo projects Telecommute is available Preferred Qualifications Masters degree Biostatistics, Mathematics, Economics, Computer Science, Theoretical Physics, Quantitative Social Sciences, Statistics, Information Systems Experience leading data science projects Experience reviewing the work of others Experience with deploying ML models in Azure, AWS, and/or Google Cloud Experience with agile product development At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. At Optum AI, we leverage data and resources to make a significant impact on the healthcare system. Our solutions have the potential to improve healthcare for everyone. We work on cutting-edge projects involving ML, NLP, and LLM techniques, continuously developing and improving generative AI methods for structured and unstructured healthcare data. Our team collaborates with world-class experts and top universities to develop innovative AI/ML solutions, often leading to patents and published papers. Primary Responsibilities Develop and implement AI and machine learning strategies for several healthcare domains Collaborate with cross-functional teams to identify and prioritize AI and machine learning initiatives Develop and run pipelines for data ingress and model output egress Develop and run scripts for ML model inference Design, implement, and maintain CI/CD pipelines for MLOps and DevOps functions Identify technical problems and develop software updates and fixes Develop scripts or tools to automate repetitive tasks Automate the provisioning and configuration of infrastructure resources Provide guidance on the best use of specific tools or technologies to achieve desired results Create documentation for infrastructure design and deployment procedures Utilize AI/ML frameworks and tools such as MLFlow, TensorFlow, PyTorch, Keras, Scikit-learn, etc. Lead and manage AI/ML teams and projects from ideation to delivery and evaluation Apply expertise in various AI/ML techniques, including deep learning, NLP, computer vision, recommender systems, reinforcement learning, and large language models Communicate complex AI/ML concepts and results to technical and non-technical audiences effectively Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Bachelor's degree or higher in computer science engineering with a focus on language processing 8+ years of experience in Software Engineering, Data Science, or Analytics with 4+ years of experience in AI/ML engineering or related fields Experience in developing solutions in the NLP space and relevant projects Hands on Experience in AI and drive the development of innovative AI and machine learning solutions Experience with cloud platforms and services, such as AWS, Azure, GCP, etc. Experience with DevOps and CI/CD tools and practices, such as Git, Jenkins, Docker, Kubernetes, etc. Experience with Azure development environments Experience with using and deploying LLMs Knowledge of NLP literature, thrust areas, conference venues, and code repositories Familiarity with both open-source and OpenAI LLMs and RAG architecture Familiarity with UI tools like Streamlit, Flask, FAST APIs, Rest APIs, Docker containers Understanding of common NLP tasks such as text classification, entity recognition, entity extraction, and question answering. Proficiency in multiple machine learning and AI techniques such as supervised, unsupervised, reinforcement learning, deep learning, and NLP Proficient in Python and one of PySpark. Familiarity with python tools for data processing Proficiency in libraries such as Hugging Face and OpenAI API Proficiency in Python, R, or other programming languages for data analysis and AI/ML development Proven ability to develop and deploy data pipelines, machine learning models, or applications on cloud platforms (Azure, Databricks, AzureML) Proven excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify root causes, and recommend solutions Proven hands-on skills with repository management and GPU use, and the ability to rapidly set up NLP pipelines for testing new ideas At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together Primary Responsibilities Applying knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement Data mining using state-of-the-art methods Enhancing data collection procedures to include information that is relevant for building analytic systems Processing, cleansing, and verifying the integrity of data used for analysis Doing ad-hoc analysis and presenting results in a clear manner Working with analytics and statistical software such as SQL, R, Python, Hadoop and others to perform analysis and interpret data Work with stakeholders to identify opportunities for leveraging company data to drive business solutions. 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 Develop custom data models and algorithms to apply to data sets Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes Develop company A/B testing framework and test model quality Coordinate with different functional teams to implement models and monitor outcomes Develop processes and tools to monitor and analyze model performance and data accuracy Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Graduate degree or equivalent experience Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets Experience working with and creating data architectures Experience querying databases and using statistical computer languagesR, Python, SLQ, etc. Experience using web servicesRedshift, S3, Spark, DigitalOcean, etc. Experience creating and using advanced machine learning algorithms and statisticsregression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. Experience with distributed data/computing toolsMap/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc. Experience visualizing/presenting data for stakeholders usingPeriscope, Business Objects, D3, ggplot, etc. Solid problem solving skills with an emphasis on product development Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications Proven excellent written and verbal communication skills for coordinating across teams A drive to learn and master new technologies and techniques Coding knowledge and experience with several languagesC, C++, Java, JavaScript, etc. Knowledge and experience in statistical and data mining techniquesGLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, k-NN, Naive Bayes, SVM, etc. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, or disability status. EEO/AA/M/F/Disabled/Vets Job Description : Role: Data Scientist Reporting to: Data Science Manager Location: Bangalore, India Work Arrangement : Hybrid, 3 days WFO Background Who we are We are Data Tech, a program that comprises a number of agile, cross-functional teams between London, Sofia, and Bangalore. We grow data platforms, build front-end data products, and create predictive models and Gen AI products for News UK. Our users include the newsroom editors, marketing, advertising, and product teams associated with our world-leading digital and print publications. From operations and infrastructure support to data technology and software development, we are committed to finding creative solutions to deliver essential news around the globe. We believe that technology will always be a tool driven by human intent. About The Role Who we are looking for At Data Tech, the home of Data Science within News UK, we are a growing team passionate about innovation and bold thinking. We empower our people with the autonomy to explore creative solutions and the curiosity to question everything. Our self-organized and highly motivated teams embrace challenges with optimism, constantly pushing the boundaries of what’s possible. With our work highly sought-after across the business, we deliver tremendous impact, shaping the future of data-driven decision-making. We are looking for a Data Scientist with strong AI Engineering skills in Generative AI, Machine Learning, and Google Cloud to join our dynamic team. In this pivotal role, you will dive deep into the world of Large Language Models (LLMs), exploring their intricate mechanics and capabilities. You’ll lead innovative projects leveraging GCP and cutting-edge AI tools, collaborating with a team of exceptional data scientists. If you have a passion for data, a drive to take bold risks, and the curiosity to innovate, this is your chance to make a meaningful impact. Our Current Tech Stack Infrastructure: ○ Built on Google Cloud Platform (GCP), leveraging its robust suite of tools for scalability, AI integration, and data management. Generative AI Development: ○ Products designed with Python, LangChain, and Vertex AI, enabling advanced AI capabilities such as LLM evaluation, prompt optimization, and domain-specific fine-tuning. Orchestration & Automation: ○ Workflow management powered by Cloud Composer and Langchian, ensuring reliable and efficient task scheduling for AI model pipelines and data orchestration. AI Innovation & Research: ○ Focused on LLM evaluation frameworks, RAG systems, and cutting-edge AI strategies, aligning with the skillset to stay at the forefront of AI advancements. Collaborative AI Development: ○ Seamless integration with cross-functional teams and innovative frameworks, supporting initiatives in AI-user interaction optimization and domain-specific AI models. Duties & Responsibilities Develop and implement frameworks to evaluate LLMs, models, and techniques. Explore and integrate the latest AI models and technologies. Build ML models to solve complex and impactful challenges. Enhance AI-user interactions using prompt engineering and optimization techniques. Collaborate with cross-functional teams to drive AI innovation. Partner with the Innovation team to advance AI strategies. Lead research on Retrieval-Augmented Generation (RAG) systems for better information retrieval. Experiment with training and fine-tuning LLMs for domain-specific tasks. Collaborate with a strong team of data scientists whose work is highly valued across the business. Skills & Competencies The Following Skills Are Essential Or Desirable. Experience with NLP and LLMs: 2+ years in Natural Language Processing (NLP). Good exposure with Large Language Models (LLMs) and Generative AI tools (e.g., OpenAI API, GPT-4, Bard, Synthesia, LangChain, Hugging Face Transformers). Experience with prompt engineering and vector database usage. Cloud and Deployment Expertise: Good exposure on working with cloud platforms (GCP). Proficient in MLOps, including CI/CD pipelines, containerization, and deploying AI models in production. Programming and Frameworks: Strong skills in Python, TensorFlow, PyTorch, and related frameworks. Experienced in querying large datasets using SQL. Machine Learning Expertise: In-depth understanding of machine learning algorithms and deep learning frameworks. Hands-on experience with LLMs like GPT-4, Gemini, and Claude. Applied research experience for prototyping and production-ready LLM development. Google Cloud Proficiency: Expertise with GCP services, including Vertex AI, Cloud Storage, Cloud Composer, and BigQuery. Additional Skills: Familiarity with Agile methodologies (e.g., SCRUM). Experience with machine learning libraries and tools such as Hugging Face and LangChain. Strong interest and foundational knowledge in LLMs and prompt engineering. This job is posted with NTS Technology Services Pvt. Ltd. Job Category: Show more Show less