497 Scipy Jobs - Page 17

Tasks And Responsibilities Design and maintain high-quality technical solutions for Risk and Marketing data while collaborating with stakeholders to address emerging business challenges. Identify and resolve data/process issues, anticipate trends and highlight the shortcomings in the data processing steps Develop SAS codes using advanced SAS to execute marketing and risk fraud strategies Develop SQL scripts to be executed during production deployments on SQL server Develop Python notebooks for User Acceptance Testing and System Integration Testing Day to day task include creating python notebooks for data validations, data analysis and data visualization, creating SAS jobs using advanced SAS concepts, creating automated SQL scripts Create python scripts to automate manual data processing tasks, combine multiple code snippets into single python notebooks Required Skills And Qualifications 3-5 years of experience as SAS, SQL and Python developer with strong hands on experience Good hands-on experience in SAS programming. SAS Certified associates preferred. In-depth knowledge of Python software development, including frameworks, tools, and systems (NumPy, Pandas, SciPy, PyTorch, etc.) Hands on experience in writing SQL queries to fetch data from Microsoft SQL Server Excellent analytical and problem-solving skills Excellent communication skills and client management skills Good to have experience in base SAS/Intermediate SAS Bachelor in Engineering/Technology or Masters in Economics/Management Show more Show less

Entity: Finance Job Family Group: Subsurface Group Job Description: We are a global energy business involved in every aspect of the energy system. We are working towards delivering light, heat, and mobility to millions of people every day. We are one of the very few companies equipped to solve some of the big complex challenges that matter for the future. We have a real contribution to make to the world's ambition of a low-carbon future. Join us and be part of what we can accomplish together. You can participate in our new ambition to become a net zero company by 2050 or sooner and help the world get to net zero. Would you like to discover how our diverse, hardworking people are owning the way in making energy cleaner and better – and how you can play your part in our world-class team? Join our Finance Team and advance your career as Data Scientist Manager ! ROLE SYNOPSIS: The role of Staff data scientist is a senior-level position within a data-science team, responsible for leading and giving to sophisticated data analysis, modeling, and machine learning projects. This role plays a pivotal role in extracting actionable insights, driving strategic decision-making, and enhancing business processes through data-driven solutions. KEY ACCOUNTABILITIES: Advanced Data Analysis and Modeling: Feature selection and dimensionality reduction. Model evaluation and validation. Data modeling techniques. Domain knowledge: Expertise in domain in which the data scientist operates is critical for asking relevant questions and creating significant solutions. Business Insight: Understanding of business operations, market dynamics, and financial implications to prioritize data science projects that align with the FDO's goals Out of Code computing: Use libraries that support out-of-core computing, such as Dask in Python These libraries can process data that doesn't fit into memory by reading it in smaller portions from disk. Machine Learning: Innovation and Strategy - Technical directions on models and techniques in the team. Advanced Machine Learning Skills for complex models. Partnership and Communication: Effectively communicate to non-technical customers. Domain process understanding from SME. Communicate findings through visualization so interaction with visualization and reporting authorities. Continuous Learning: Stay relevant through technical data science with domain understanding. Data Ethics and Privacy: Anonymization and Pseudonymization. Data Retention Policies. Database Management: Knowledge of working with databases and querying data using SQL or NoSQL databases is valuable for accessing and extracting data Project Management: Ability to lead data science projects effectively, including prioritizing, planning, and delivering results within set timelines. Statistical Analysis and Mathematics: Solid grasp of statistical methods and mathematical concepts are needed for data analysis, modeling, and drawing significant insights from data. EXPERIENCE AND JOB REQUIREMENTS: Overall: DS&T - Data & Analysis [Data Science Team] plays a crucial role in driving data- informed decision-making and generating actionable insights to support the company's goals. This team is responsible for processing, analyzing, and interpreting large and sophisticated datasets from multiple datasets to provide valuable insights and recommendations across various domains An experienced [10years+] with master's degree or equivalent experience in quantitative, qualitative field such as Computer Science, Statistics, Mathematics, Physics, Engineering, or a related data field is often required. Skills: Leadership role in Data Analysis, Programming proficiency in Python, SQL, Azure data bricks, Statistics & Mathematics Leadership qualities to steer the team. Strategic direction and technical expertise. Soft skills: Active listening, translate business problems into data questions, Communication and partnership. Data Sources: SAP, Concur, Salesforce, Workday, Excel files Able to prepare analytical reports, presentations and/or visualization dashboards to communicate findings, KPIs and insights to both technical and non-technical partners. Stay up to date with industry trends, standard methodologies and new technologies in data analytics, machine learning, data science technique ! DESIRABLE CRITERIA: Certified in SQL, Machine learning, Azure data bricks. Extensive experience (typically 10+ years) Effective team manager, managing team of 6-8 individuals. Lead, senior data scientists and/or data engineers. Effective team manager, managing team of 6-8 individuals. Lead, senior data scientists and/or data engineers. Tools and Libraries: Pandas, PySpark, NumPy, and SciPy. NLP, Fuzzy matching logic. Experience with SAP systems and data structures, including SAP ECC, SAP S/4HANA, or SAP BW. 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: Legal Disclaimer: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks. Show more Show less

As an expectation a fitting candidate must have/be: Ability to analyze business problem and cut through the data challenges. Ability to churn the raw corpus and develop a data/ML model to provide business analytics (not just EDA), machine learning based document processing and information retrieval Quick to develop the POCs and transform it to high scale production ready code. Experience in extracting data through complex unstructured documents using NLP based technologies. Good to have : Document analysis using Image processing/computer vision and geometric deep learning Technology Stack: Python as a primary programming language. Conceptual understanding of classic ML/DL Algorithms like Regression, Support Vectors, Decision tree, Clustering, Random Forest, CART, Ensemble, Neural Networks, CNN, RNN, LSTM etc. Programming: Must Have: Must be hands-on with data structures using List, tuple, dictionary, collections, iterators, Pandas, NumPy and Object-oriented programming Good to have: Design patterns/System design, cython ML libraries: Must Have: Scikit-learn, XGBoost, imblearn, SciPy, Gensim Good to have: matplotlib/plotly, Lime/sharp Data extraction and handling: Must Have: DASK/Modin, beautifulsoup/scrappy, Multiprocessing Good to have: Data Augmentation, Pyspark, Accelerate NLP/Text analytics: Must Have: Bag of words, text ranking algorithm, Word2vec, language model, entity recognition, CRF/HMM, topic modelling, Sequence to Sequence Good to have: Machine comprehension, translation, elastic search Deep learning: Must Have: TensorFlow/PyTorch, Neural nets, Sequential models, CNN, LSTM/GRU/RNN, Attention, Transformers, Residual Networks Good to have: Knowledge of optimization, Distributed training/computing, Language models Software peripherals: Must Have: REST services, SQL/NoSQL, UNIX, Code versioning Good to have: Docker containers, data versioning Research: Must Have: Well verse with latest trends in ML and DL area. Zeal to research and implement cutting areas in AI segment to solve complex problems Good to have: Contributed to research papers/patents and it is published on internet in ML and DL Morningstar is an equal opportunity employer. Morningstar’s hybrid work environment gives you the opportunity to work remotely and collaborate in-person each week. We’ve found that we’re at our best when we’re purposely together on a regular basis, at least three days each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you’ll have tools and resources to engage meaningfully with your global colleagues. I10_MstarIndiaPvtLtd Morningstar India Private Ltd. (Delhi) Legal Entity Show more Show less

AI Solutions Architect with total of around 10-15 years of experience and atleast 5-8 years of relevant data science, analytics and AI/ML. • Develop strategies/solutions to solve problems in logical yet creative ways, leveraging state-of-the-art machine learning, deep learning and GEN AI techniques. • Technically lead a team of data scientists to produce project deliverables on time and with high quality. • Identify and address client needs in different domains, by analyzing large and complex data sets, processing, cleansing, and verifying the integrity of data, and performing exploratory data analysis (EDA) using state-of-the-art methods. • Select features, build and optimize classifiers/regressors, etc. using machine learning and deep learning techniques. • Enhance data collection procedures to include information that is relevant for building analytical systems, and ensure data quality and accuracy. • Perform ad-hoc analysis and present results in a clear manner to both technical and non-technical stakeholders. • Create custom reports and presentations with strong data visualization and storytelling skills to effectively communicate analytical conclusions to senior officials in a company and other stakeholders. • Expertise in data mining, EDA, feature selection, model building, and optimization using machine learning and deep learning techniques. • Strong programming skills in Python. • Excellent communication and interpersonal skills, with the ability to present complex analytical concepts to both technical and non-technical stakeholders. Primary Skills : - Excellent understanding and hand-on experience of data-science and machine learning techniques & algorithms for supervised & unsupervised problems, NLP and computer vision and GEN AI. Good applied statistics skills, such as distributions, statistical inference & testing, etc. - Excellent understanding and hand-on experience on building Deep-learning models for text & image analytics (such as ANNs, CNNs, LSTM, Transfer Learning, Encoder and decoder, etc). - Proficient in coding in common data science language & tools such as R, Python. - Experience with common data science toolkits, such as NumPy, Pandas, Matplotlib, StatsModel, Scikitlearn, SciPy, NLTK, Spacy, OpenCV etc. - Experience with common data science frameworks such as Tensorflow, Keras, PyTorch, XGBoost,etc. - Exposure or knowledge in cloud (Azure/AWS). - Experience on deployment of model in production. Standard Skills: In-depth understanding of manufacturing workflows, production planning, and quality control. Familiarity with ISA-95 and ISA-88 standards for manufacturing systems. Experience working with shop floor automation and IoT devices. Good To have skills: MES Certifications, AI/ML, regulatory experience, and emerging technologies like IoT or edge computing. Show more Show less

Software Engineer II Are you interested in bringing your technical expertise to projects? Are you a detail-oriented paralegal with a 'can do' attitude? About Our Team LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,300 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. About The Role This position performs moderate research, design, and software development assignments within a specific software functional area or product line. Responsibilities Write and review portions of detailed specifications for the development of system components of moderate complexity. Complete simple bug fixes. Work closely with other development team members to understand product requirements and translate them into software designs. Operate in various development environments (Agile, Waterfall, etc.) while collaborating with key stakeholders. Resolve technical issues as necessary. Keep abreast of new technological developments. All other duties as assigned. Requirements 2+ years of experience as a Python Developer Working knowledge of API integration In-depth understanding of the Python software development stacks, ecosystems, frameworks, and tools such as Numpy, Scipy, Pandas, FAST API, Django, etc. Experience with popular Python frameworks such as Django, Flask, or Fast API. Experience with front-end development using HTML, CSS, and JavaScript. Familiarity with database technologies such as SQL and NoSQL. Excellent problem-solving ability with solid communication and collaboration skills. Knowledge of AWS , DOCKER, LAMBDA Functions Strong communication and collaboration skills including the ability to co-operate with multiple parties and align on priorities Knowledge Agile Methodology Ability to work with simple data models. Familiarity of industry best practices — code coverage. Work in a way that works for you We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive Working for you Benefits We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Comprehensive Health Insurance: Covers you, your immediate family, and parents. Enhanced Health Insurance Options: Competitive rates negotiated by the company. Group Life Insurance: Ensuring financial security for your loved ones. Group Accident Insurance: Extra protection for accidental death and permanent disablement. Flexible Working Arrangement: Achieve a harmonious work-life balance. Employee Assistance Program: Access support for personal and work-related challenges. Medical Screening: Your well-being is a top priority. Modern Family Benefits: Maternity, paternity, and adoption support. Long-Service Awards: Recognizing dedication and commitment. New Baby Gift: Celebrating the joy of parenthood. Subsidized Meals in Chennai: Enjoy delicious meals at discounted rates. Various Paid Time Off: Take time off with Casual Leave, Sick Leave, Privilege Leave, Compassionate Leave, Special Sick Leave, and Gazetted Public Holidays. Free Transport pick up and drop from the home -office - home (applies in Chennai) About The Business LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services. Show more Show less

Sigmoid Analytics is a leading Data solutions company backed by Sequoia Capital. We offer best in- end-to-end data value chain spanning across Data Science, Data Engineering and Data Ops. With data and technology at the core of our solutions, we are solving some of the toughest problems out there. Our culture is modelled around expertise and mutual respect with a team first mindset. You’ll work with teams that push the boundaries of what-is-possible and build solutions that energize and inspire. Offices : New York | Dallas | San Francisco | Lima | Bengaluru The below role is for our Bengaluru office. About the Role : You will work on a broad range of cutting-edge data science and machine learning problems across a variety of industries. You will be engaging with clients to understand their business context. If you are passionate to work on complex unstructured business problems that can be solved using data science and machine learning we would like to talk to you. Function : Data Science and Analysis → Data Science / Machine Learning Desired Skills & Competencies: Strong learning acumen High sense of ownership Ability to work in a fast-paced and deadline-driven environment Loves technology Highly skilled at Data Interpretation Problem solver Good exposure to machine learning concepts and algorithms Must be fluent with any one of Python, R, Java Strong in statistical & machine learning concepts Knowledge of Python Libraries - SciPy, NumPy, Pandas, I Python, Scikit-learn Knowledge of distributed big data processing (PySpark, Jupyter, Linux, AWS) Responsibilities: Hypothesis testing, insights generation, root cause analysis, factor analysis Statistical model (predictive & prescriptive) development using various statistical & machine learning techniques/algorithms Test/train the model, Improve Model accuracy, Monitor model performance Data Extraction from EDW/Big Data Platform, Dataset Preparation (creation of base data, aggregation, transformation), performing EDA Desired Experience & Education: 3 - 5 years of relevant Machine Learning experience. B. Tech from Tier-1 college / M.S or M. Tech is preferred in Computer Science, Information Technology, or similar degree. Show more Show less

Description We're on a journey to build something new a green field project! Come join our team and build new discovery and shopping products that connect customers with their vehicle of choice. We're looking for a talented Senior Applied Scientist to join our team of product managers, designers, and engineers to design, and build innovative automotive-shopping experiences for our customers. This is a great opportunity for an experienced engineer to design and implement the technology for a new Amazon business. We are looking for a Applied Scientist to design, implement and deliver end-to-end solutions. We are seeking passionate, hands-on, experienced and seasoned Senior Applied Scientist who will be deep in code and algorithms; who are technically strong in building scalable computer vision machine learning systems across item understanding, pose estimation, class imbalanced classifiers, identification and segmentation.. You will drive ideas to products using paradigms such as deep learning, semi supervised learning and dynamic learning. As a Senior Applied Scientist, you will also help lead and mentor our team of applied scientists and engineers. You will take on complex customer problems, distill customer requirements, and then deliver solutions that either leverage existing academic and industrial research or utilize your own out-of-the-box but pragmatic thinking. In addition to coming up with novel solutions and prototypes, you will directly contribute to implementation while you lead. A successful candidate has excellent technical depth, scientific vision, project management skills, great communication skills, and a drive to achieve results in a unified team environment. You should enjoy the process of solving real-world problems that, quite frankly, haven’t been solved at scale anywhere before. Along the way, we guarantee you’ll get opportunities to be a bold disruptor, prolific innovator, and a reputed problem solver—someone who truly enables AI and robotics to significantly impact the lives of millions of consumers. Key job responsibilities Architect, design, and implement Machine Learning models for vision systems on robotic platforms Optimize, deploy, and support at scale ML models on the edge. Influence the team's strategy and contribute to long-term vision and roadmap. Work with stakeholders across , science, and operations teams to iterate on design and implementation. Maintain high standards by participating in reviews, designing for fault tolerance and operational excellence, and creating mechanisms for continuous improvement. Prototype and test concepts or features, both through simulation and emulators and with live robotic equipment Work directly with customers and partners to test prototypes and incorporate feedback Mentor other engineer team members. A day in the life 6+ years of building machine learning models for retail application experience PhD, or Master's degree and 6+ years of applied research experience Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning Demonstrated expertise in computer vision and machine learning techniques. Basic Qualifications 3+ years of building machine learning models for business application experience PhD, or Master's degree and 6+ years of applied research experience Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning Preferred Qualifications Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Haryana Job ID: A2924280 Show more Show less

Company Description ModMed India is an intelligent, specialty-specific cloud platform dedicated to placing doctors and patients at the center of care. The company was founded in 2010 and has since expanded to over 4500 employees serving eleven specialties. ModMed is headquartered in Florida, USA, with offices in Santiago, Chile; Berlin, Germany; and Hyderabad, India. Role Description This is a full-time hybrid role for a Senior Data Scientist 2 at ModMed India. The role involves day-to-day tasks related to data science, statistics, data analytics, data visualization, and data analysis. While based in Hyderabad, some work from home is acceptable. Key Responsibilities : Data Modeling and Analytics : Develop and implement machine learning models, algorithms, and statistical tools to process large volumes of healthcare data for predictive insights and optimization. Data Mining and Exploration : Analyze structured and unstructured data to discover trends, correlations, and patterns that can drive new product features or enhance existing offerings. Predictive Analytics : Build predictive models to anticipate patient needs, streamline operational workflows, and improve healthcare delivery. Research and Development : Keep abreast of the latest developments in machine learning, data science, and healthcare analytics to drive innovation and improvement in ModMed’s AI offerings. Skillset & Qualification: Technical Expertise: Proficient in NLP, Gen AI & LLM with Python, R, SQL, and data manipulation libraries (e.g., Pandas, NumPy, SciPy). Strong experience with machine learning libraries and frameworks (e.g., TensorFlow, Scikit-learn, PyTorch). Familiarity with big data platforms like Hadoop, Spark, or AWS/GCP. Experience working with healthcare data formats (HL7, FHIR) and privacy standards (HIPAA) is a plus. Machine Learning & Statistics : Expertise in building and deploying machine learning models, including classification, regression, and clustering techniques. Education : Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, or a related technical field. Experience : 5+ years of experience in data science, machine learning, or predictive modeling, preferably in healthcare or a similar data-rich domain. Problem Solving : Strong analytical skills with the ability to translate complex business problems into data-driven solutions. Communication : Excellent verbal and written communication skills to explain technical concepts to non-technical stakeholders. Preferred : Experience with healthcare-related analytics, including patient outcomes, clinical workflows, and operational efficiencies. Show more Show less

Schrödinger is a science and technology leader with over 30 years of experience developing software solutions for physics-based and machine learning-based chemical simulations and predictive analyses. We’re seeking an application-focused Materials Informatics & Optoelectronics Scientist to join us in our mission to improve human health and quality of life through the development, distribution, and application of advanced computational methods. As a member of our Materials Science team, you’ll have the opportunity to work on diverse projects in optoelectronics, catalysis, energy storage, semiconductors, aerospace, and specialty chemicals. Who Will Love This Job A statistical and machine learning expert with robust problem-solving skills A materials science enthusiast who’s familiar with RDkit, MatMiner, Dscribe, or other informatics packages A proficient Python programmer and debugger who’s familiar with machine learning packages like Scikit-Learn, Pandas, NumPy, SciPy, and PyTorch An experienced researcher with hands-on experience in extracting datasets using large language models (LLM) or Optical Character Recognition (OCR) technologies A specialist in quantum chemistry or materials science who enjoys collaborating with an interdisciplinary team in a fast-paced environment What You’ll Do Research, curate, and analyze datasets from literature and other sources using advanced techniques such as LLMs and OCR. Work with domain experts to ensure the accuracy and quality of data (such as molecular structures, SMILES strings, experimental measurements, etc) Develop and validate predictive machine learning models for OLED devices and other optoelectronic applications Communicate results and present ideas to the team Develop tools and workflows that can be integrated into commercial software products Validate existing Schrödinger machine learning products using public datasets or internally generated datasets What You Should Have A PhD in Chemistry or Materials Science Hands-on experience with the application of machine learning, neural networks, deep learning, data analysis, or chemical informatics to materials and complex chemicals Experience with LLM, OCR technologies, and the extraction of datasets for ML model development As an equal opportunity employer, Schrödinger hires outstanding individuals into every position in the company. People who work with us have a high degree of engagement, a commitment to working effectively in teams, and a passion for the company's mission. We place the highest value on creating a safe environment where our employees can grow and contribute, and refuse to discriminate on the basis of race, color, religious belief, sex, age, disability, national origin, alienage or citizenship status, marital status, partnership status, caregiver status, sexual and reproductive health decisions, gender identity or expression, or sexual orientation. To us, "diversity" isn't just a buzzword, but an important element of our core principles and key business practices. We believe that diverse companies innovate better and think more creatively than homogenous ones because they take into account a wide range of viewpoints. For us, greater diversity doesn't mean better headlines or public images - it means increased adaptability and profitability. Show more Show less

About the Company Resources is the backbone of Publicis Groupe, the world’s third-largest communications group. Formed in 1998 as a small team to service a few Publicis Groupe firms, Re:Sources has grown to 5,000+ people servicing a global network of prestigious advertising, public relations, media, healthcare, and digital marketing agencies. We provide technology solutions and business services including finance, accounting, legal, benefits, procurement, tax, real estate, treasury, and risk management to help Publicis Groupe agencies do their best: create and innovate for their clients. In addition to providing essential, everyday services to our agencies, Re:Sources develops and implements platforms, applications, and tools to enhance productivity, encourage collaboration, and enable professional and personal development. We continually transform to keep pace with our ever-changing communications industry and thrive on a spirit of innovation felt around the globe. With our support, Publicis Groupe agencies continue to create and deliver award-winning campaigns for their clients. About the Role The main purpose of this role is to advance the application of business intelligence, advanced data analytics, and machine learning for Marcel. The Data Scientist will work with other data scientists, engineers, and product owners to ensure the delivery of all commitments on time and in high quality. Responsibilities Design and develop advanced data science and machine learning algorithms, with a strong emphasis on Natural Language Processing (NLP) for personalized content, user understanding, and recommendation systems. Work on end-to-end LLM-driven features, including fine-tuning pre-trained models (e.g., BERT, GPT), prompt engineering, vector embeddings, and retrieval-augmented generation (RAG). Build robust models on diverse datasets to solve for semantic similarity, user intent detection, entity recognition, and content summarization/classification. Analyze user behaviour through data and derive actionable insights for platform feature improvements using experimentation (A/B testing, multivariate testing). Architect scalable solutions for deploying and monitoring language models within platform services, ensuring performance and interpretability. Collaborate cross-functionally with engineers, product managers, and designers to translate business needs into NLP/ML solutions. Regularly assess and maintain model accuracy and relevance through evaluation, retraining, and continuous improvement processes. Write clean, well-documented code in notebooks and scripts, following best practices for version control, testing, and deployment. Communicate findings and solutions effectively across stakeholders — from technical peers to executive leadership. Contribute to a culture of innovation and experimentation, continuously exploring new techniques in the rapidly evolving NLP/LLM space. Qualifications Minimum Experience (relevant): 3 years Maximum Experience (relevant): 5 years Required Skills Proficiency in Python and NLP frameworks: spaCy, NLTK, Hugging Face Transformers, OpenAI, LangChain. Strong understanding of LLMs, embedding techniques (e.g., SBERT, FAISS), RAG architecture, prompt engineering, and model evaluation. Experience in text classification, summarization, topic modeling, named entity recognition, and intent detection. Experience deploying ML models in production and working with orchestration tools such as Airflow, MLflow. Comfortable working in cloud environments (Azure preferred) and with tools such as Docker, Kubernetes (AKS), and Git. Strong experience working with data science/ML libraries in Python (SciPy, NumPy, TensorFlow, SciKit-Learn, etc.) Strong experience working in cloud development environments (especially Azure, ADF, PySpark, DataBricks, SQL) Experience building data science models for use on front end, user facing applications, such as recommendation models Experience with REST APIs, JSON, streaming datasets Understanding of Graph data, Neo4j is a plus Strong understanding of RDBMS data structure, Azure Tables, Blob, and other data sources Understanding of Jenkins, CI/CD processes using Git, for cloud configs and standard code repositories such as ADF configs and Databricks Preferred Skills Bachelor's degree in engineering, computer science, statistics, mathematics, information systems, or a related field from an accredited college or university; Master's degree from an accredited college or university is preferred. Or equivalent work experience. Advanced knowledge of data science techniques, and experience building, maintaining, and documenting models Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases preferably Graph DB. Experience building and optimizing ADF and PySpark based data pipelines, architectures and data sets on Graph and Azure Datalake. Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. Strong analytic skills related to working with unstructured datasets. Build processes supporting data transformation, data structures, metadata, dependency and workload management. A successful history of manipulating, processing and extracting value from large disconnected datasets. Strong project management and organizational skills. Experience supporting and working with cross-functional teams in a dynamic environment. Show more Show less

- 3+ years of building machine learning models for business application experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning Amazon Shipping Team: Basic Qualifications: Btech/Mtech in Computer Science, Machine Learning, Operations Research, Statistics, or related technical field applying ML techniques to solve complex business problems programming skills in Python, R, or similar languages Experience with modern ML frameworks (PyTorch, TensorFlow, etc.) About the Role: At Amazon Shipping, we're revolutionizing package delivery through machine learning. Our network handles packages daily with predictive monitoring, proactive failure detection, and intelligent redundancy - all while optimizing costs for our customers. Key Responsibilities: Design and develop ML models for: Transportation cost auditing and discrepancy detection Package-level shipping cost prediction First Mile optimization through warehouse pickup forecasting Delivery delay prediction using network signals and external factors Collaborate with cross-functional teams to implement ML solutions at scale Author scientific papers for ML conferences Mentor team members in ML best practices Provide ML consultation across organizations Preferred Qualifications: PhD in Experience with large-scale distributed systems Publication record in top-tier ML conferences Expertise in time series forecasting and anomaly detection Background in transportation/logistics optimization communication skills with technical and non-technical stakeholders Our Team: You'll join a diverse team of Applied Scientists, Software Engineers, and Business Intelligence Engineers working on edge ML solutions. We're passionate about solving complex problems and delivering customer value through innovation. Key job responsibilities Your role will require you to demonstrate Think Big and Invent and Simplify, by refining and translating Transportation domain-related business problems into one or more Machine Learning problems. You will use techniques from a wide array of machine learning paradigms, such as supervised, unsupervised, semi-supervised and reinforcement learning. Your model choices will include, but not be limited to, linear/logistic models, tree based models, deep learning models, ensemble models, and Q-learning models. You will use techniques such as LIME and SHAP to make your models interpretable for your customers. You will employ a family of reusable modelling solutions to ensure that your ML solution scales across multiple regions (such as North America, Europe, Asia) and package movement types (such as small parcel movements and truck movements). You will partner with Applied Scientists and Research Scientists from other teams in US and India working on related business domains. Your models are expected to be of production quality, and will be directly used in production services. Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

- 6+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning The Amazon Photos team is looking for a world-class Sr. Applied Scientist to join us and use AI to help customers relive their cherished memories. Our team of scientists have developed algorithms and models that power Amazon Photos features for millions of photos and videos daily. As part of the team, we expect that you will develop innovative solutions to hard problems at massive scale, and publish your findings in at peer reviewed conferences and workshops. With the recent advancements in Vision-Language models, Amazon Photos has completely re-thought the product roadmap and is looking for a Sr. Applied Scientist to deliver both the short-term roadmap working closely with Product and Engineering and make investments for the long-term. Our research themes include, but are not limited to: foundational models, contrastive learning, diffusion models, few-shot and zero-shot learning, transfer learning, unsupervised and semi-supervised methods, active learning and semi-automated data annotation, deep learning, and large scale image and video detection and recognition. Key job responsibilities - Collaborate with cross-functional teams of engineers, product managers, and scientists to identify and solve complex problems in Visual-Language Model space - Design and execute experiments to evaluate the performance of different models, and iterate quickly to improve results - Create robust evaluation frameworks for assessing model performance across different domains and use cases - Think big about the Visual-Language Model space over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems within Amazon Photos - Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports - You will mentor and guide junior scientists and contribute to the overall growth and development of the team About the team Amazon Photos is the one of the main digital products offered to Prime subscribers along with Amazon Music and Amazon Video. Amazon Photos provides unlimited photo storage and 5 GB for videos to Prime members and is a top Prime benefit in multiple marketplaces. AI-driven experiences based on image and video understanding are core to customer delight for the business. These experiences are delivered in our mobile, web and desktop apps, in Fire TV, and integrated into Alexa devices such as Echo Show. We solve real-world problems using AI while being a positive force for good. PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. Excellent technical publications and material contributions to the CV/ML/AI field as related to image and video processing Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Company Description WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees. Job Description Implement Web applications in Python/Django Understanding project requirement & converting into technical requirements Independently do the coding/development of complex modules Independent contributor, high quality software within the timelines Ensure high quality releases through appropriate QC and QA activities Participate in technical discussions / reviews Works collaboratively and professionally with other associates in cross functional teams to achieve goals Qualifications 1.5-3 years relevant experience in developing applications for financial services clients 1-3 years of experience implementing web application in Python/ Django Knowledge of SciPy/NumPy/Pandas libraries in Python to develop quant models Good understanding of SDLC phases of application development Must be able to design and develop web applications using Open source technology (Python) Should have good understanding and exposure to unit testing. Show more Show less

Description The Position We are seeking a seasoned engineer with a passion for changing the way millions of people save energy. You’ll work within the Engineering team to build and improve our platforms to deliver flexible and creative solutions to our utility partners and end users and help us achieve our ambitious goals for our business and the planet. We are seeking a skilled and passionate Software Engineer II with expertise in Python to join our development team. As a SE II Python Developer, you will be a crucial member of our development team, responsible for leading and driving the development of complex, scalable, and high-performance Python-based applications. One of your main focus will be on developing and supporting efficient, reusable and highly scalable APIs & components to deliver a compelling experience to users across platforms. You will collaborate with cross-functional teams, mentor junior developers, and coordinate with the rest of the team working on different layers of the infrastructure. Therefore, a commitment to collaborative problem solving, sophisticated design, and quality product is important. You will take part in the planning and strategy to come up with the solutions with full ownership. You will own the development and its quality independently and be responsible for high quality deliverables. And you will work with a great team with excellent benefits. Responsibilities & Skills You should: Design, develop, and maintain high-quality software applications using Python and the Django framework. Collaborate with cross-functional teams to define, design, and ship new features and enhancements. Integrate third-party APIs (REST, SOAP, streaming services) into the existing product. Optimize application performance and ensure scalability and reliability. Write clean, maintainable, and efficient code, following best practices and coding standards. Participate in code reviews and provide constructive feedback to peers. Troubleshoot and debug applications, identifying root causes of issues. Stay current with industry trends, technologies, and best practices in software development. Required Skills (Python) Bachelor’s or Master’s degree in Computer Science or related field from IIT, NIT, or any other reputed institute. 3-5 years of experience in software development, with at least 2 years of background in Python and Django. Experience integrating third-party APIs (REST, SOAP, streaming services) into applications. Familiarity with database technologies, particularly MySQL Experience with message brokers like Kafka, Rabbitmq and Redis Experience on Version control systems such as Github Familiarity with RESTful APIs and integration of third-party APIs. Strong understanding of software development methodologies, particularly Agile. Demonstrable experience with writing unit and functional tests Excellent problem-solving skills and ability to work collaboratively in a team environment. Required The following experiences are not required, but you'll stand out from other applicants if you have any of the following, in our order of importance: Experience with cloud infrastructure like AWS/GCP or other cloud service provider experience Serverless architecture, preferably AWS Lambda Experience with PySpark, Pandas, Scipy, Numpy libraries is a plus Experience in microservices architecture Solid CI/CD experience You are a Git guru and revel in collaborative workflows You work on the command line confidently and are familiar with all the goodies that the linux toolkit can provide Knowledge of modern authorization mechanisms, such as JSON Web Token Good to have front end technologies like - ReactJS, NodeJS Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Show more Show less

dunnhumby is the global leader in Customer Data Science, empowering businesses everywhere to compete and thrive in the modern data-driven economy. We always put the Customer First. Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With deep heritage and expertise in retail – one of the world’s most competitive markets, with a deluge of multi-dimensional data – dunnhumby today enables businesses all over the world, across industries, to be Customer First. dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Meijer, Procter & Gamble and Metro. We’re looking for a talented Research Data Scientist who expects more from their career You will be at the forefront of dunnhumby’s research data science team where you will be translating a complex business problem into a data science problem and solving that with scalable and state-of-the art AI algorithms. Joining our research data science team, you will be helping identify new opportunities within the Data Science space for future dunnhumby solutions. Learn from experts and grow your career in our organisation What We Expect From You Degree or equivalent in a statistical or mathematical subject. 2-5 Years of experience in Data Science Good understanding of statistics and mathematical methodologies used – especially forecasting, regression, linear models, time series, hypothesis tests and optimisation Ability to prototype solutions using Python and Spark to facilitate development and testing of algorithms on large data sets Good understanding of machine learning techniques, with applications to classification, prediction and clustering Ability to apply and extend experimental design methodology to conduct rigorous measurement of treatment effects Good working knowledge of databases, including SQL, relational and non-relational data models Experience of using following algorithm at scale: Ancova, linear models with regularization, clustering, random forests, xgboost Research the latest machine learning approaches Good grasp of Object-Oriented Programming Ability to quickly learn open-source statistics and machine learning packages – Pandas, SciPy, Scikit - learning, Tensor flow. What You Can Expect From Us We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off. You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn. And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you. For an informal and confidential chat please contact stephanie.winson@dunnhumby.com to discuss how we can meet your needs. Our approach to Flexible Working At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work. We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process. For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here) Show more Show less

Location: Hyderabad, IN Employment type: Employee Place of work: Office Offshore/Onshore: Onshore TechnipFMC is committed to driving real change in the energy industry. Our ambition is to build a sustainable future through relentless innovation and global collaboration – and we want you to be part of it. You’ll be joining a culture that values curiosity, expertise, and ideas as well as diversity, inclusion, and authenticity. Bring your unique energy to our team of more than 20,000 people worldwide, and discover a rewarding, fulfilling, and varied career that you can take in anywhere you want to go. Job Purpose Seeking a skilled Python Developer to join our team and help us develop applications and tooling to streamline in-house engineering design processes with a continuous concern for quality, targets, and customer satisfaction. Job Description 1.Write clean and maintainable Python code using PEP guidelines 2. Build and maintain software packages for scientific computing 3. Build and maintain command line interfaces (CLIs) 4. Build and maintain web applications and dashboards 5. Design and implement data analysis pipelines 6. Create and maintain database schemas and queries 7. Optimise code performance and scalability 8. Develop and maintain automated tests to validate software 9. Contribute and adhere to team software development practices, e.g., Agile product management, source code version control, continuous integration/deployment (CI/CD) 10. Build and maintain machine learning models (appreciated, but not a prerequisite) Technical Stack 1. Languages: Python, SQL 2. Core libraries: Scipy, Pandas, NumPy 3. Web frameworks: Streamlit, Dash, Flask 4. Visualisation: Matplotlib, Seaborn, Plotly 5. Automated testing: pytest 6. CLI development: Click, Argparse 7. Source code version control: Git 8. Agile product management: Azure DevOps, GitHub 9. CI/CD: Azure Pipelines, Github Actions, Docker 10. Database systems: PostgreSQL, Snowflake, SQlite, HDF5 11. Performance: Numba, Dask 12. Machine Learning: Scikit-learn, TensorFlow, PyTorch (Desired) You are meant for this job if: • Bachelor's degree in computer science or software engineering • Master's degree is a plus• Strong technical basis in engineering • Presentation skills • Good organizational and problem-solving skills • Service/Customer oriented • Ability to work in a team-oriented environment • Good command of English Skills Spring Boot Data Modelling CI/CD Internet of Things (IoT) Jira/Confluence React/Angular SAFe Scrum Kamban Collaboration SQL Bash/Shell/Powershell AWS S3 AWS lambda Cypress/Playwright Material Design Empirical Thinking Agility Github HTML/CSS Javascript/TypeScript GraphQL Continuous Learning Cybersecurity Computer Programming Java/Kotlin Test Driven Development Being a global leader in the energy industry requires an inclusive and diverse environment. TechnipFMC promotes diversity, equity, and inclusion by ensuring equal opportunities to all ages, races, ethnicities, religions, sexual orientations, gender expressions, disabilities, or all other pluralities. We celebrate who you are and what you bring. Every voice matters and we encourage you to add to our culture. TechnipFMC respects the rights and dignity of those it works with and promotes adherence to internationally recognized human rights principles for those in its value chain. Date posted: Jun 2, 2025 Requisition number: 13580

Company Description At EVERSANA, we are proud to be certified as a Great Place to Work across the globe. We’re fueled by our vision to create a healthier world. How? Our global team of more than 7,000 employees is committed to creating and delivering next-generation commercialization services to the life sciences industry. We are grounded in our cultural beliefs and serve more than 650 clients ranging from innovative biotech start-ups to established pharmaceutical companies. Our products, services and solutions help bring innovative therapies to market and support the patients who depend on them. Our jobs, skills and talents are unique, but together we make an impact every day. Join us! Across our growing organization, we embrace diversity in backgrounds and experiences. Improving patient lives around the world is a priority, and we need people from all backgrounds and swaths of life to help build the future of the healthcare and the life sciences industry. We believe our people make all the difference in cultivating an inclusive culture that embraces our cultural beliefs. We are deliberate and self-reflective about the kind of team and culture we are building. We look for team members that are not only strong in their own aptitudes but also who care deeply about EVERSANA, our people, clients and most importantly, the patients we serve. We are EVERSANA. Job Description Introduction: We are looking for an experienced professional to lead patient analytics projects, working closely with pharmaceutical clients to deliver robust analytical solutions. The ideal candidate should have strong technical expertise, hands-on experience with patient-level data, and the ability to engage directly with clients while guiding a team. Key Responsibilities Act as a subject matter expert to determine scientific and methodological aspects of RWE projects. Independently draft and edit high quality research proposals and statistical analysis plans. Guide team members with components of RWE analysis, such as, cohort creation, target/control creation, comorbidity analysis, adverse reactions, line of therapy, cost analysis, provider and payer analysis, KOL segmentation and targeting etc., based on clinical knowledge of disease area. Develop and apply data mining, statistical, machine learning techniques and models to extract analytic insights from healthcare and non-healthcare data sets. Develop software solutions and applications using SQL, Python, and/or R. Responsible for review, generation, and delivery of analytic products in support of project work, RFP responses and other business needs. Support the development of visualizations and presentations for client deliverables. Interface with EVERSANA analysts, data scientists, clinicians, program managers and with EVERSANA customers. Responsible for the development and delivery of projects within defined timelines. Respond to additional ad-hoc analysis requests. All other duties as assigned Qualifications 7-10 years of experience in data analytics and modeling, preferably around healthcare claims data and commercial analytics in the life science industry. Practical knowledge of statistics, statistical inference, and machine learning algorithms (deep learning, LSTM, SVM, CNN, GAN, and reinforcement learning) Hands-on experience and proficiency in SQL, Python, (pandas, scikit-learn, numpy, scipy) R, visualization tools, and software development within a Linux environment. Deep commercial awareness of the healthcare, health technology and pharmaceutical industry, gained through experience. High level of knowledge and analytic experience with real world data sources (e.g., EHR/EMR data, RWD, healthcare prescription / claims databases) as well as comprehensive understanding of the RWD supply chain and reimbursement policies Expertise in healthcare industry terminology and coding (e.g. NDC11, ICD9/ ICD10, HCPCS, CPT, LOINC) Works independently and is a self-starter MS PowerPoint presentation development skills Client interface and presentation skills Ability to lead by example Strong organizational skills, including ability to manage multiple deliverables across multiple projects. Significant consideration will be given to prior publications, independent software projects completed, and non-proprietary code authored by the candidate. Additional Information All your information will be kept confidential according to EEO guidelines. Our team is aware of recent fraudulent job offers in the market, misrepresenting EVERSANA. Recruitment fraud is a sophisticated scam commonly perpetrated through online services using fake websites, unsolicited e-mails, or even text messages claiming to be a legitimate company. Some of these scams request personal information and even payment for training or job application fees. Please know EVERSANA would never require personal information nor payment of any kind during the employment process. We respect the personal rights of all candidates looking to explore careers at EVERSANA. From EVERSANA’s inception, Diversity, Equity & Inclusion have always been key to our success. We are an Equal Opportunity Employer, and our employees are people with different strengths, experiences, and backgrounds who share a passion for improving the lives of patients and leading innovation within the healthcare industry. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion, and many other parts of one’s identity. All of our employees’ points of view are key to our success, and inclusion is everyone's responsibility. Follow us on LinkedIn | Twitter Show more Show less

Software Engineer II Are you interested in bringing your technical expertise to projects? Are you a detail-oriented paralegal with a 'can do' attitude? About Our Team LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,300 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. About The Role This position performs moderate research, design, and software development assignments within a specific software functional area or product line. Responsibilities Write and review portions of detailed specifications for the development of system components of moderate complexity. Complete simple bug fixes. Work closely with other development team members to understand product requirements and translate them into software designs. Operate in various development environments (Agile, Waterfall, etc.) while collaborating with key stakeholders. Resolve technical issues as necessary. Keep abreast of new technological developments. All other duties as assigned. Requirements 2+ years of experience as a Python Developer Working knowledge of API integration In-depth understanding of the Python software development stacks, ecosystems, frameworks, and tools such as Numpy, Scipy, Pandas, FAST API, Django, etc. Experience with popular Python frameworks such as Django, Flask, or Fast API. Experience with front-end development using HTML, CSS, and JavaScript. Familiarity with database technologies such as SQL and NoSQL. Excellent problem-solving ability with solid communication and collaboration skills. Knowledge of AWS , DOCKER, LAMBDA Functions Strong communication and collaboration skills including the ability to co-operate with multiple parties and align on priorities Knowledge Agile Methodology Ability to work with simple data models. Familiarity of industry best practices — code coverage. Work in a way that works for you We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive Working for you Benefits We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Comprehensive Health Insurance: Covers you, your immediate family, and parents. Enhanced Health Insurance Options: Competitive rates negotiated by the company. Group Life Insurance: Ensuring financial security for your loved ones. Group Accident Insurance: Extra protection for accidental death and permanent disablement. Flexible Working Arrangement: Achieve a harmonious work-life balance. Employee Assistance Program: Access support for personal and work-related challenges. Medical Screening: Your well-being is a top priority. Modern Family Benefits: Maternity, paternity, and adoption support. Long-Service Awards: Recognizing dedication and commitment. New Baby Gift: Celebrating the joy of parenthood. Subsidized Meals in Chennai: Enjoy delicious meals at discounted rates. Various Paid Time Off: Take time off with Casual Leave, Sick Leave, Privilege Leave, Compassionate Leave, Special Sick Leave, and Gazetted Public Holidays. Free Transport pick up and drop from the home -office - home (applies in Chennai) About The Business LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services. LexisNexis, a division of RELX, is an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form: https://forms.office.com/r/eVgFxjLmAK , or please contact 1-855-833-5120. Please read our Candidate Privacy Policy. Show more Show less

Title : Sr. Data Scientist/ML Engineer (4+ years & above) Required Technical Skillset Language : Python, PySpark Framework : Scikit-learn, TensorFlow, Keras, PyTorch, Libraries : NumPy, Pandas, Matplotlib, SciPy, Scikit-learn - DataFrame, Numpy, boto3 Database : Relational Database(Postgres), NoSQL Database (MongoDB) Cloud : AWS cloud platforms Other Tools : Jenkins, Bitbucket, JIRA, Confluence A machine learning engineer is responsible for designing, implementing, and maintaining machine learning systems and algorithms that allow computers to learn from and make predictions or decisions based on data. The role typically involves working with data scientists and software engineers to build and deploy machine learning models in a variety of applications such as natural language processing, computer vision, and recommendation systems. The key responsibilities of a machine learning engineer includes : Collecting and preprocessing large volumes of data, cleaning it up, and transforming it into a format that can be used by machine learning models. Model building which includes Designing and building machine learning models and algorithms using techniques such as supervised and unsupervised learning, deep learning, and reinforcement learning. Evaluating the model performance of machine learning models using metrics such as accuracy, precision, recall, and F1 score. Deploying machine learning models in production environments and integrating them into existing systems using CI/CD Pipelines, AWS Sagemaker Monitoring the performance of machine learning models and making adjustments as needed to improve their accuracy and efficiency. Working closely with software engineers, product managers and other stakeholders to ensure that machine learning models meet business requirements and deliver value to the organization. Requirements And Skills Mathematics and Statistics : A strong foundation in mathematics and statistics is essential. They need to be familiar with linear algebra, calculus, probability, and statistics to understand the underlying principles of machine learning algorithms. Programming Skills Should be proficient in programming languages such as Python. The candidate should be able to write efficient, scalable, and maintainable code to develop machine learning models and algorithms. Machine Learning Techniques Should have a deep understanding of various machine learning techniques, such as supervised learning, unsupervised learning, and reinforcement learning and should also be familiar with different types of models such as decision trees, random forests, neural networks, and deep learning. Data Analysis And Visualization Should be able to analyze and manipulate large data sets. The candidate should be familiar with data cleaning, transformation, and visualization techniques to identify patterns and insights in the data. Deep Learning Frameworks Should be familiar with deep learning frameworks such as TensorFlow, PyTorch, and Keras and should be able to build and train deep neural networks for various applications. Big Data Technologies A machine learning engineer should have experience working with big data technologies such as Hadoop, Spark, and NoSQL databases. They should be familiar with distributed computing and parallel processing to handle large data sets. Software Engineering A machine learning engineer should have a good understanding of software engineering principles such as version control, testing, and debugging. They should be able to work with software development tools such as Git, Jenkins, and Docker. Communication And Collaboration A machine learning engineer should have good communication and collaboration skills to work effectively with cross-functional teams such as data scientists, software developers, and business stakeholders. (ref:hirist.tech) Show more Show less

TechnipFMC is committed to driving real change in the energy industry. Our ambition is to build a sustainable future through relentless innovation and global collaboration – and we want you to be part of it. You’ll be joining a culture that values curiosity, expertise, and ideas as well as diversity, inclusion, and authenticity. Bring your unique energy to our team of more than 20,000 people worldwide, and discover a rewarding, fulfilling, and varied career that you can take in anywhere you want to go. Job Purpose Seeking a skilled Python Developer to join our team and help us develop applications and tooling to streamline in-house engineering design processes with a continuous concern for quality, targets, and customer satisfaction. Job Description Write clean and maintainable Python code using PEP guidelines Build and maintain software packages for scientific computing Build and maintain command line interfaces (CLIs) Build and maintain web applications and dashboards Design and implement data analysis pipelines Create and maintain database schemas and queries Optimise code performance and scalability Develop and maintain automated tests to validate software Contribute and adhere to team software development practices, e.g., Agile product management, source code version control, continuous integration/deployment (CI/CD) Build and maintain machine learning models (appreciated, but not a prerequisite) Technical Stack Languages: Python, SQL Core libraries: Scipy, Pandas, NumPy Web frameworks: Streamlit, Dash, Flask Visualisation: Matplotlib, Seaborn, Plotly Automated testing: pytest CLI development: Click, Argparse Source code version control: Git Agile product management: Azure DevOps, GitHub CI/CD: Azure Pipelines, Github Actions, Docker Database systems: PostgreSQL, Snowflake, SQlite, HDF5 Performance: Numba, Dask Machine Learning: Scikit-learn, TensorFlow, PyTorch (Desired) You Are Meant For This Job If Bachelor's degree in computer science or software engineering Master's degree is a plus Strong technical basis in engineering Presentation skills Good organizational and problem-solving skills Service/Customer oriented Ability to work in a team-oriented environment Good command of English Skills Spring Boot Data Modelling CI/CD Internet of Things (IoT) Jira/Confluence React/Angular SAFe Scrum Kamban Collaboration SQL Bash/Shell/Powershell AWS S3 AWS lambda Cypress/Playwright Material Design Empirical Thinking Agility Github HTML/CSS Javascript/TypeScript GraphQL Continuous Learning Cybersecurity Computer Programming Java/Kotlin Test Driven Development Being a global leader in the energy industry requires an inclusive and diverse environment. TechnipFMC promotes diversity, equity, and inclusion by ensuring equal opportunities to all ages, races, ethnicities, religions, sexual orientations, gender expressions, disabilities, or all other pluralities. We celebrate who you are and what you bring. Every voice matters and we encourage you to add to our culture. TechnipFMC respects the rights and dignity of those it works with and promotes adherence to internationally recognized human rights principles for those in its value chain. Show more Show less

Join a leading U.S.-based company as a Sr. Python Developer, where your expertise will drive cutting-edge solutions in technology. Leverage your Python skills to solve complex challenges, optimize processes, and contribute to impactful projects alongside global experts. If you have a passion for innovation and a proven track record in Python development, this role offers the perfect opportunity to elevate your career. Job Responsibilities Develop scalable and efficient Python applications. Analyze large datasets to extract business insights. Write clean, optimized code in Jupyter Notebooks or similar platforms. Collaborate with researchers and engineers on data-driven solutions. Maintain clear documentation for all code. Use datasets from Kaggle, the UN, and U.S. government sources for business insights. Job Requirements 3+ years of Python development experience. Bachelor’s/Master’s in Computer Science, Engineering, or related field. Strong Python skills with experience in Pandas, NumPy, SciPy, etc. Experience with databases (SQL/NoSQL) and cloud platforms (AWS, GCP, Azure) is a plus. Excellent problem-solving and analytical skills. Strong communication and teamwork skills in a remote setting. Perks Work with top industry experts worldwide. Fully remote flexibility. Competitive salary aligned with global standards. Be part of cutting-edge, high-impact projects. Selection Process Shortlisted developers may be asked to complete an assessment. If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates. Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment. Show more Show less

Join a leading U.S.-based company as a Sr. Python Developer, where your expertise will drive cutting-edge solutions in technology. Leverage your Python skills to solve complex challenges, optimize processes, and contribute to impactful projects alongside global experts. If you have a passion for innovation and a proven track record in Python development, this role offers the perfect opportunity to elevate your career. Job Responsibilities Develop scalable and efficient Python applications. Analyze large datasets to extract business insights. Write clean, optimized code in Jupyter Notebooks or similar platforms. Collaborate with researchers and engineers on data-driven solutions. Maintain clear documentation for all code. Use datasets from Kaggle, the UN, and U.S. government sources for business insights. Job Requirements 3+ years of Python development experience. Bachelor’s/Master’s in Computer Science, Engineering, or related field. Strong Python skills with experience in Pandas, NumPy, SciPy, etc. Experience with databases (SQL/NoSQL) and cloud platforms (AWS, GCP, Azure) is a plus. Excellent problem-solving and analytical skills. Strong communication and teamwork skills in a remote setting. Perks Work with top industry experts worldwide. Fully remote flexibility. Competitive salary aligned with global standards. Be part of cutting-edge, high-impact projects. Selection Process Shortlisted developers may be asked to complete an assessment. If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates. Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment. Show more Show less

Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com. Job Description Must Have skills : Deep understanding of Linux, networking fundamentals and security Experience working with AWS cloud platform and infrastructure services like EC2, S3, VPC, Subnet, ELB, LoadBalnacer, RDS, Route 53 etc.) Experience working with infrastructure as code with Terraform or Ansible tools Experience in building, deploying, and monitoring distributed apps using container systems (Docker) and container orchestration (Kubernetes, EKS) Kubernetes Administration: Cluster Setup and Management, Cluster Configuration and Networking, Upgrades, Monitoring and Logging, Security and Compliance, App deployement etc. Experience in Automation and CI/CD Integration,Capacity Planning, Pod Scheduling, Resource Quotas etc. Experience at OS level upgrades and Patching, including vulnerability remediations Ability to read and understand code (Java / Python / R / Scala) Qualifications Nice to have skills: Experience in SAS Viya administration Experience managing large Big Data clusters Experience in Big Data tools like Hue, Hive, Spark, Jupyter, SAS and R-Studio Professional coding experience in at least one programming language, preferably Python. Knowledge in analytical libraries like Pandas, Numpy, Scipy, PyTorch etc. Additional Information Our uniqueness is that we truly celebrate yours. Experian's culture and people are key differentiators. We take our people agenda very seriously and focus on what truly matters; DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian’s strong people first approach is award winning; Great Place To Work™ in 24 countries, FORTUNE Best Companies to work and Glassdoor Best Places to Work (globally 4.4 Stars) to name a few. Check out Experian Life on social or our Careers Site to understand why. Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is a critical part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. Experian Careers - Creating a better tomorrow together Find out what its like to work for Experian by clicking here Experian Careers - Creating a better tomorrow together Find out what its like to work for Experian by clicking here Show more Show less

Job Title: Data Scientist Intern Job ID: 9740 Work Mode: Remote Experience Level: Entry Level (Fresher) Stipend: ₹8,500 per month About The Role We’re looking for a motivated and curious Data Scientist Intern to join our remote team. This internship offers hands-on experience in real-world data projects, from data preprocessing to machine learning and visualization. It’s a great opportunity for freshers who want to build a strong foundation in data science and analytics. Key Responsibilities Data Collection & Preprocessing: Gather and clean data from various sources such as databases, APIs, and spreadsheets Exploratory Data Analysis: Analyze data using statistics and visualizations to uncover patterns and insights Machine Learning: Assist in building and evaluating machine learning models for predictive tasks Data Visualization & Reporting: Create reports and dashboards using tools like Tableau, Power BI, Matplotlib, or Seaborn Cross-Functional Collaboration: Work with teams including engineering and product to support data-driven initiatives Documentation: Maintain detailed documentation of data workflows, tools used, and insights generated Continuous Learning: Stay updated with industry best practices and emerging tools in data science What We’re Looking For Currently pursuing or recently completed a degree in Data Science, Computer Science, Statistics, Mathematics, or related fields Proficiency in Python or R for data analysis and machine learning Familiarity with Pandas, NumPy, SciPy, and SQL Basic knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch Ability to visualize and interpret data effectively Strong analytical and communication skills Eagerness to learn and grow in a fast-paced environment Eligibility Open to freshers and recent graduates Candidates from all technical and analytical backgrounds are encouraged to apply Note: This is a paid internship.Skills: tableau,machine learning,matplotlib,seaborn,power bi,data analysis,pandas,sql,python,r,scipy,numpy,data visualization,data science Show more Show less

Our Company We’re Hitachi Digital Services, a global digital solutions and transformation business with a bold vision of our world’s potential. We’re people-centric and here to power good. Every day, we future-proof urban spaces, conserve natural resources, protect rainforests, and save lives. This is a world where innovation, technology, and deep expertise come together to take our company and customers from what’s now to what’s next. We make it happen through the power of acceleration. Imagine the sheer breadth of talent it takes to bring a better tomorrow closer to today. We don’t expect you to ‘fit’ every requirement – your life experience, character, perspective, and passion for achieving great things in the world are equally as important to us. The team Job Description SQL, Power BI Collaborate with business analysts and stakeholders to understand data visualization requirements and translate them into effective Power BI Design and develop visually appealing and user-friendly reports, dashboards, and interactive data visualizations to present complex insights in a comprehensible manner. Leverage proficiency in DAX to create calculated measures, columns, and tables that enhance data analysis capabilities within Power BI models. Develop and optimize ETL processes using Power Query and SQL to transform and integrate data from diverse sources, ensuring accuracy and consistency. Implement best practices for data modeling, performance optimization, and data governance within Power BI projects. Create and maintain the documentation on all owned Power BI reports. Provide training sessions and technical support to end users to foster self-service analytics and maximize Power BI utilization. The role Desired Skills Bachelor’s or master’s degree in data analytics, mathematics, statistics, computer science, or a related field. Up to 7 years’ experience in the development of Business Intelligence solutions based on Microsoft Tabular models including Power BI visualization and complex DAX Experience in designing and implementing data models both on Tabular and SQL based storage solutions. Solid understanding of ETL processes and Data Warehouse concepts. SQL coding skills. Advanced skills in Microsoft BI stack (including Analysis Services and Power Pivot, Azure SQL). Experience with Azure Synapse is a plus. Knowledge of programming languages Python, Python libraries such as numpy, pandas, sklearn, pytorch, keras, scipy, C# or similar. What You’ll Bring Up to 7 years’ experience in the development of Business Intelligence solutions based on Microsoft Tabular models including Power BI visualization and complex DAX Experience in designing and implementing data models both on Tabular and SQL based storage solutions. Solid understanding of ETL processes and Data Warehouse concepts. SQL coding skills. Advanced skills in Microsoft BI stack (including Analysis Services and Power Pivot, Azure SQL). Experience with Azure Synapse is a plus. Knowledge of programming languages Python, Python libraries such as numpy, pandas, sklearn, pytorch, keras, scipy, C# or similar. About Us We’re a global, team of innovators. Together, we harness engineering excellence and passion to co-create meaningful solutions to complex challenges. We turn organizations into data-driven leaders that can make a positive impact on their industries and society. If you believe that innovation can bring a better tomorrow closer to today, this is the place for you. Championing diversity, equity, and inclusion Diversity, equity, and inclusion (DEI) are integral to our culture and identity. Diverse thinking, a commitment to allyship, and a culture of empowerment help us achieve powerful results. We want you to be you, with all the ideas, lived experience, and fresh perspective that brings. We support your uniqueness and encourage people from all backgrounds to apply and realize their full potential as part of our team. How We Look After You We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We’re also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We’re always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you’ll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with. We’re proud to say we’re an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success. Show more Show less