3449 Data Scientist Jobs - Page 27

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. Positions in this function produce innovative solutions driven by exploratory data analysis from unstructured, diverse datasets typically measured in gigabytes or larger. Applies 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. Uses a flexible, analytical approach to design, develop, and evaluate predictive and prescriptive models and advanced algorithms that lead to optimal value extraction from the data. Works with analytics and statistical software such as SQL, R, Python, Hadoop and others to perform analysis and interpret data. This function is not intended for employees performing the following work: less complex analysis on small data sets; rules-based algorithmic or descriptive analytics; development of big data infrastructure. Primary Responsibilities: Analyzes and investigates Provides explanations and interpretations within area of expertise 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 regard 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 Qualification: Under graduation, Btech 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.

Havas CSA is seeking a Data Scientist with 2-4 years of experience to contribute to advanced analytics and predictive modelling initiatives. The ideal candidate will combine strong statistical knowledge with practical business understanding to help develop and implement models that drive customer value and business growth. Responsibilities: Implement and maintain customer analytics models including CLTV prediction, propensity modelling, and churn prediction Support the development of customer segmentation models using clustering techniques and behavioural analysis Assist in building and maintaining survival models to analyze customer lifecycle events Work with large-scale datasets using BigQuery and Snowflake Develop and validate machine learning models using Python and cloud-based ML platforms, specifically BQ ML, ModelGarden and Amazon Bedrock Help transform model insights into actionable business recommendations Collaborate with analytics and activation teams to implement model outputs Present analyses to stakeholders in clear, actionable formats Qualifications: Bachelor's or master’s degree in Statistics, Mathematics, Computer Science, or related quantitative field 1-2 years’ experience in applied data science, preferably in marketing/retail Experience in developing and implementing machine learning models Strong understanding of statistical concepts and experimental design Ability to communicate technical concepts to non-technical audiences Familiarity with agile development methodologies Technical Skills: Advanced proficiency in: SQL and data warehouses (BigQuery, Snowflake) Python for statistical modeling Machine learning frameworks (scikit-learn, TensorFlow) Statistical analysis and hypothesis testing Data visualization tools (Matplotlib, Seaborn) Version control systems (Git) Understanding of Google Cloud Function and Cloud Run Experience with: Customer lifetime value modeling RFM analysis and customer segmentation Survival analysis and hazard modeling A/B testing and causal inference Feature engineering and selection Model validation and monitoring Cloud computing platforms (GCP/AWS/Azure) Key Projects & Deliverables Support development and maintenance of CLTV models Contribute to customer segmentation models incorporating behavioral and transactional data Implement survival models to predict customer churn Support the development of attribution models for marketing effectiveness Help develop recommendation engines for personalized customer experiences Assist in creating automated reporting and monitoring systems Soft Skills Strong analytical and problem-solving abilities Good communication and presentation skills Business acumen Collaborative team player Strong organizational skills Ability to translate business problems into analytical solutions Growth Opportunities Work on innovative data science projects for major brands Develop expertise in cutting-edge ML technologies Learn from experienced data science leaders Contribute to impactful analytical solutions Opportunity for career advancement We offer competitive compensation, comprehensive benefits, and the opportunity to work with leading brands while solving complex analytical challenges. Join our team to grow your career while making a significant impact through data-driven decision making. Contract Type : Permanent Here at Havas across the group we pride ourselves on being committed to offering equal opportunities to all potential employees and have zero tolerance for discrimination. We are an equal opportunity employer and welcome applicants irrespective of age, sex, race, ethnicity, disability and other factors that have no bearing on an individual’s ability to perform their job.

Key Responsibilities Design and implement machine learning models to address business challenges using structured and semi-structured data. Create Proof of concepts (POCs) / Minimum Viable Products (MVPs), then guide them through to production deployment and operationalization of projects Develop and embed automated processes for predictive model validation, deployment, and implementation Work on multiple pillars of AI including cognitive engineering, conversational bots, and data science Advanced skills with statistical/programming software (e.g., R, Python) and data querying languages (e.g., SQL, Hadoop/Hive, Scala) Good hands-on skills in both feature engineering and hyperparameter optimization Experience producing high-quality code, tests, documentation Build end-to-end ML pipelines in collaboration with data engineering and product teams. Use Google Vertex AI components such as: Vertex Pipelines AutoML and Custom Training Vertex AI Workbench / Notebooks Vertex Feature Store Optimize model training, deployment, and monitoring workflows using MLOps best practices. Translate business requirements into analytical models with measurable outcomes. Required Skills 2-4 years of experience in data science and applied machine learning. Expertise in: Python, SQL, R, TensorFlow or PyTorch Feature engineering, model tuning, evaluation, and interpretation 1 year of experience working with Google Vertex AI or similar GCP ML tools. Strong grasp of machine learning concepts: supervised/unsupervised learning, recommendation engines, time series forecasting, etc. Exposure to BigQuery, Cloud Storage, or Dataflow for large-scale data manipulation. Preferred Skills Vertex AI Pipelines and Feature Store ML lifecycle automation and CI/CD for ML (MLflow, TFX, etc.) Docker, Airflow, or Cloud Composer for orchestration Google Cloud certifications (e.g., Professional Data Engineer, ML Engineer) are a plus. Interested candidates can share resume at- ashurustagi@kpmg.com

We are looking for a Senior Data Scientist to join our Technology team at Clarivate. You will get the opportunity to work on interesting IP data and interesting challenges to create insights and drive business acumen to add value to our world class products and services About You experience, education, skills, and accomplishments Advanced degree in Computer Science, Statistics, Engineering, Physics, Mathematics, or other quantitative majors, or equivalent work experience. Atleast 4 years of industry experience in the application of ML and NLP Excellent understanding of ML, NLP, and statistical methodologies in a data analytics environment Good programming skills (Python, Java, R or C++) It would be great if you have, Experience with large language model Ability to test ideas and adapt methods quickly end to end from data extraction to implementation and validation Experience with search engines, classification algorithms, recommendation systems, and relevance evaluation methodologies What will you be doing in this role? Researches and identifies Machine Learning (ML) and Natural Language Processing (NLP) methods and algorithms to solve specific problems to improve user experience on IP & Science data and websites Implements these methods and devises appropriate test plans to validate and compare the different approaches Identifies new applications of ML and NLP in the context of Clarivate Analytics extensive sets of content and data Explores existing data for insights and recommends additional sources of data for improvements About the Team You would be part of our incredible data science team of Intellectual property (IP) group & work closely with product and technology teams spreads across various locations worldwide. Hours of Work This is a permanent position with Clarivate.9 hours per day including lunch break. you should be flexible with working hours to align with globally distributed teams and stakeholders.

We are looking for a Senior Data Scientist to join our Technology team at Clarivate. You will get the opportunity to work on interesting IP data and interesting challenges to create insights and drive business acumen to add value to our world class products and services About You experience, education, skills, and accomplishments Advanced degree in Computer Science, Statistics, Engineering, Physics, Mathematics, or other quantitative majors, or equivalent work experience. Atleast 4 years of industry experience in the application of ML and NLP Excellent understanding of ML, NLP, and statistical methodologies in a data analytics environment Good programming skills (Python, Java, R or C++) It would be great if you have, Experience with large language model Ability to test ideas and adapt methods quickly end to end from data extraction to implementation and validation Experience with search engines, classification algorithms, recommendation systems, and relevance evaluation methodologies What will you be doing in this role? Researches and identifies Machine Learning (ML) and Natural Language Processing (NLP) methods and algorithms to solve specific problems to improve user experience on IP & Science data and websites Implements these methods and devises appropriate test plans to validate and compare the different approaches Identifies new applications of ML and NLP in the context of Clarivate Analytics extensive sets of content and data Explores existing data for insights and recommends additional sources of data for improvements About the Team You would be part of our incredible data science team of Intellectual property (IP) group & work closely with product and technology teams spreads across various locations worldwide. Hours of Work This is a permanent position with Clarivate.9 hours per day including lunch break. you should be flexible with working hours to align with globally distributed teams and stakeholders.

We are looking for a highly motivated real-world evidence (RWE) data scientist who has experience in generating insights/evidence from claims and EHR real world data (RWD) to join our growing Bangalore-based RWE analytics team at Clarivate. About You experience, education, skills, and accomplishments Graduate degree in Data science/analytics, Epidemiology, Biostatistics, or related quantitative field At least 3 years experience in a consultative, client-facing role At least 3 years experience using SQL, Python, programming against large relational databases leveraging interoperable-linked, patient-level data at scale Healthcare data expert across various data types (e.g. open/closed claims, inpatient/ambulatory EMR, commercial labs, social determinants, etc.) and codified healthcare data standards (e.g. ICD, CPT, HCPCS, LOINC, Snomed, etc.) It would be great if you also had . . Experience evaluating fit-for-purpose data and implementing research protocols Experienced applying RWD to specific healthcare and life sciences-related research questions and use cases, such as RWE/epidemiology, HEOR, R&D, commercial, public health What will you be doing in this role? Efficiently query multiple data types (medical and pharmacy claims, EMR, lab, charge master) using SQL and Python to identify actionable insights for clients Empower clients to generate RWE utilizing best-in-class observational research by conducting pre-sale feasibility analyses of varying breadth and depth Consult with clients to identify business problems and generate analytics-based solutions Develop and communicate technical, operational, and business specifications to junior analysts and engagement leads Work cross-functionally to support operational processes to deliver data analytics projects on time and with accuracy Contribute to the development and maintenance of internal documentation, code templates, analytics automation, and other process improvement initiatives to support internal team efficiency, effectiveness, and growth About the Team We are a highly motivated team of 20+ analytics, biostatistics, epidemiology, and data science professionals distributed across three countries, working together to provide analytics and insights using Clarivates RWD product for pharmaceutical, biopharma, and Med Tech clients. Hours of Work You will be expected to work on a work schedule (12: 00 PM IST to 9:00 PM IST) to provide for reasonable hours of collaborative work with the US team and there could be a slight extension on an as-needed basis.

We are looking for a Data Scientist to join our Technology team at Clarivate. You will get the opportunity to work on interesting IP data and interesting challenges to create insights and drive business acumen to add value to our world class products and services About You experience, education, skills, and accomplishments Advanced degree in Computer Science, Statistics, Engineering, Physics, Mathematics, or other quantitative majors, or equivalent work experience. Atleast 2 years of industry experience in the application of ML and NLP Excellent understanding of ML, NLP, and statistical methodologies in a data analytics environment Good programming skills (Python, Java, R or C++) It would be great if you have, Experience with large language model Ability to test ideas and adapt methods quickly end to end from data extraction to implementation and validation Experience with search engines, classification algorithms, recommendation systems, and relevance evaluation methodologies What will you be doing in this role? Researches and identifies Machine Learning (ML) and Natural Language Processing (NLP) methods and algorithms to solve specific problems to improve user experience on IP & Science data and websites Implements these methods and devises appropriate test plans to validate and compare the different approaches Identifies new applications of ML and NLP in the context of Clarivate Analytics extensive sets of content and data Explores existing data for insights and recommends additional sources of data for improvements

Key Responsibilities: Design, develop, and implement machine learning algorithms and models. Prepare specifications, design documents, and unit test plans. Develop algorithms, prototype solutions, and write production-quality code using Python and C++. Optimize and fine-tune machine learning models to ensure high performance. Participate in system architecture discussions and feature design. Engage with external customers and stakeholders to understand and document requirements. Collaborate with Engineering, Data Science, Product, UX, Business Development, and Infrastructure teams. Promote best coding practices, including documentation, code reviews, and adherence to coding standards. Execute projects independently with minimal supervision. Skills & Experience Required: Minimum 5 years of relevant industry experience. Strong foundation in Linear Algebra, Statistics, Probability, and Deep Learning concepts. Expertise in computer vision, object detection, and object segmentation. Hands-on experience with Video Management Systems, Video Processing, and Video Codecs. Proficiency in machine learning frameworks like TensorFlow, PyTorch, or YOLO. Strong understanding of design patterns, algorithms, and data structures. Experience with feature engineering, model performance tuning, and optimizing machine learning models. Proficient in Python and libraries like NumPy, Scikit-learn, Opencv, and Matplotlib. At least 4 years of experience in back-end web development using: Python, Flask, FastAPI AWS, Azure, or GCP Java or C/C++ ORM, MongoDB, PostgreSQL, TimescaleDB

Salary : 25 to 40 LPA Exp: 4 to 8 years Location :/Gurugram/Bangalore/Hyderabad Notice: Immediate to 30 days..!! Roles & responsibilities: 3+ years exp on Python , ML and Banking model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 3+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Create experiments and prototype implementations of new learning algorithms and prediction techniques Collaborate with product managers, and stockholders to design and implement software solutions for science problems Use machine learning best practices to ensure a high standard of quality for all of the team deliverables Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization Hands-on experience with IFRS 9 models and regulations. Data Analysis: Analyze large datasets to identify trends and risk factors, ensuring data quality and integrity. Statistical Analysis: Utilize advanced statistical methods to build robust models, leveraging expertise in R programming. Collaboration: Work closely with data scientists, business analysts, and other stakeholders to align models with business needs. Continuous Improvement: Stay updated with the latest methodologies and tools in credit risk modeling and R programming.

Salary : 20 to 35 LPA Exp: 3 to 8 years Location :/Gurugram/Bangalore/Hyderabad Notice: Immediate to 30 days..!! Roles & responsibilities: 3+ years exp on Python , ML and Banking model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 3+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Create experiments and prototype implementations of new learning algorithms and prediction techniques Collaborate with product managers, and stockholders to design and implement software solutions for science problems Use machine learning best practices to ensure a high standard of quality for all of the team deliverables Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization Hands-on experience with IFRS 9 models and regulations. Data Analysis: Analyze large datasets to identify trends and risk factors, ensuring data quality and integrity. Statistical Analysis: Utilize advanced statistical methods to build robust models, leveraging expertise in R programming. Collaboration: Work closely with data scientists, business analysts, and other stakeholders to align models with business needs. Continuous Improvement: Stay updated with the latest methodologies and tools in credit risk modeling and R programming.

About Company Founded in 2011, ReNew, is one of the largest renewable energy companies globally, with a leadership position in India. Listed on Nasdaq under the ticker RNW, ReNew develops, builds, owns, and operates utility-scale wind energy projects, utility-scale solar energy projects, utility-scale firm power projects, and distributed solar energy projects. In addition to being a major independent power producer in India, ReNew is evolving to become an end-to-end decarbonization partner providing solutions in a just and inclusive manner in the areas of clean energy, green hydrogen, value-added energy offerings through digitalisation, storage, and carbon markets that increasingly are integral to addressing climate change. With a total capacity of more than 13.4 GW (including projects in pipeline), ReNew’s solar and wind energy projects are spread across 150+ sites, with a presence spanning 18 states in India, contributing to 1.9 % of India’s power capacity. Consequently, this has helped to avoid 0.5% of India’s total carbon emissions and 1.1% India’s total power sector emissions. In the over 10 years of its operation, ReNew has generated almost 1.3 lakh jobs, directly and indirectly. ReNew has achieved market leadership in the Indian renewable energy industry against the backdrop of the Government of India’s policies to promote growth of this sector. ReNew’s current group of stockholders contains several marquee investors including CPP Investments, Abu Dhabi Investment Authority, Goldman Sachs, GEF SACEF and JERA. Its mission is to play a pivotal role in meeting India’s growing energy needs in an efficient, sustainable, and socially responsible manner. ReNew stands committed to providing clean, safe, affordable, and sustainable energy for all and has been at the forefront of leading climate action in India. Job Description As a Senior Data Scientist, you will be responsible for providing simple and intuitive solutions to the most complex problems in renewable industry. This will involve building machine learning and deep learning models which are coupled with contextual business knowledge. You will also use both management experience and data science expertise to lead analytics projects and mentor junior data scientists . You will be an integral part of conceptualizing, scoping and delivering complex analytics projects . You will do and oversee the development, testing and maintenance of analytical models which mimic business decisions. You will work with a world-class team of site managers, subject experts, data engineers and data scientists to build the next generation data-driven renewable company. Additionally, you will be responsible for continuously identifying opportunities to improve the ways of working and structuring within the analytics center of excellence. Roles and Responsibilities Implement data science solutions which may involve machine learning or data science techniques to increase and optimize outputs Assess the effectiveness and accuracy of data sources and data gathering techniques Manage analytics strategy across multiple use cases Provide analytical expertise in the process of model development, refining and implementation in a variety of analytics problems spread across a variety of domains Oversee and mentor large team of associate and junior-level data scientists, de-bottlenecking issues related to project execution Work closely with translators and business teams to develop and implement analytics solutions Collaborate with the engineering team to integrate data science solutions into production environments and deploy scalable solutions Communicate complex technical concepts and results to non-technical stakeholders in a clear and concise manner Acquire extensive knowledge of renewables industry practices and implement tailor made techniques to solve problems relevant to the same Promote a culture of continuous learning, sharing knowledge, and staying up-to-date with emerging technologies and best practices in data science Profile & Eligible Criteria Bachelor's in Computer Science, Data Science, Statistics, Mathematics, or a related field. Master's degree preferred Proven experience of 4-6 years as a Data Scientist or in a similar role, with a strong track record of delivering successful data science projects Sound theoretical and practical knowledge of working in statistical analysis, machine learning techniques, and deep learning frameworks with solid of understanding of techniques related to regression, classification, NLP, Computer Vision, Generative AI Proficiency in Python is a must. Proficiency in SQL for data manipulation is a plus Worked in developing analytics solutions in 3-4 domains Excellent communication skills to effectively manage a team and collaborate with stakeholders in cross-functional teams Communication skills: Basic level of articulation of theoretical concepts Ability to communicate with cross functional roles is a plus Teamwork: Displays ability to work both as an individual and as a self-motivated team player Has worked in large teams with an agile setup in the past

Industry: IT Qualification: Masters in Data Science, AI, ML, - Background in Computer Science, Electronics Required Skills: AI/ML, Python, Cloud Paltforms Working Shift: 10am to 7pm IST City: Coimbatore Country: India Name of the position: Data Scientist Location: Coimbatore No. of resources needed : 01 Mode: Fulltime Years of experience: 4+ Years Overview We are seeking a highly skilled and motivated Data Scientist to join our growing AI and Data team. In this role, you will design, develop, and deploy advanced AI and machine learning models using modern frameworks and cloud platforms. You will work closely with cross-functional teams to integrate AI-driven solutions into core business processes and stay abreast of the latest trends in generative AI, LLMs, and Agentic AI. Key Responsibilities Design, develop, and deploy AI/ML models using technologies such as GenAI, FAST API, and AWS/GCP services (e.g., Lambda, SageMaker, Microsoft AI Studio). Implement model versioning, monitoring, and performance tracking to maintain data accuracy and reliability. Collaborate with engineers, data scientists, and domain experts to integrate AI solutions into business operations. Build and maintain high-quality, secure, and scalable data pipelines. Continuously review and apply the latest advancements in Agentic AI, LLMs, and AI research to improve model capabilities. Optimize machine learning workflows for cloud environments (AWS, GCP, or Azure). Contribute to AI architecture planning and best practices. Required Skills : Minimum 4+ years of experience in data science and AI/ML. Strong programming skills in Python. Hands-on experience with cloud platforms (AWS, GCP, or Azure). Proficiency in machine learning algorithms, model training, and deployment. Experience with model versioning and monitoring tools (e.g., MLflow, Weights & Biases). Strong problem-solving and analytical capabilities. Experience with REST APIs and ML model integration. Domain experience in medicine or insurance. Familiarity with Large Language Models (LLMs) and Agentic AI systems. Exposure to backend technologies and microservice development. Advanced degree (Master’s preferred) in Data Science, Artificial Intelligence, Machine Learning, Computer Science, or related field.

About the company: Making Trade Happen Coface (https://www.coface.com) is a leading global player in credit insurance and risk management helping companies to secure their trade activities worldwide. Coface is also a recognized expert in corporate information, bonding, political risk, debt collection and factoring. Coface is a team of 4,500 people of 78 nationalities across nearly 60 countries, all sharing a corporate culture across the world. Together, we work towards one objective: facilitating trade by helping our 50,000 corporate clients develop their businesses. With 75 years of experience, Coface is a leader in the credit insurance and risk management market. We have also developed a range of other value-added services, including factoring, debt collection, Single Risk insurance, bonding, and information services. As a close-knit, international organization at the core of the global economy, Coface offers an enriching work experience on several levels: relational, professional, and cultural. Every day, our teams are making trade happen. Join us! Ideal Candidate Profile: Must have a background in Computer Science Hands-on experience in Machine Learning and Natural Language Processing (NLP) Strong Python development skills , with a focus on writing high-quality, maintainable code. Familiar with code reviews and continuous integration (CI) best practices. Experience with Docker and Kubernetes for containerization and orchestration. Exposure to cloud-based applications and deployment workflows. Proficient in SQL and NoSQL databases , including document and graph-based systems. Comfortable working in Linux environments and using Git for version control. Demonstrates autonomy , curiosity , and rigor in problem-solving and development. Mission: You join Coface's Data Lab team and work mostly in pairs or in small teams on innovative projects. You design and fully develop solutions that can implement AI technologies. You contribute to technology watch The Job description: The Data Lab brings together Data Science and Software engineering skills to develop and deploy solutions that improve the company's processes, products and services. The team seeks to make use of AI and data science techniques and to implement development best practices to deploy applications and APIs on Docker/Kubernetes infrastructures, in Apache Airflow and in the Cloud. Sharing knowledge through presentations between team members, training and technology watch on dedicated time are all part of the Data Lab's culture. About role: The use cases for data science are varied and lead to concrete implementations. Here are some examples: Score the risk of corporate failure in every country Extract information from images, documents and web scrapping Build knowledge graphs from corporates linkages Specialize search engine and language models in identifying companies Generate visual and textual explanations for AI model predictions Key Qualifications & Experience: Bachelor’s or master’s degree in computer science ,academic background in Data Science: supervised and unsupervised machine learning, natural language processing… Min 2 to 5 years' experience in Python application development with high quality standards and implementation of code reviews and continuous integration best practices. Experience of Docker/Kubernetes deployment and cloud applications desirable Use of Linux and Git Practice of SQL and experience with NoSQL databases (document, graph) Autonomy, curiosity, rigor What can we offer you? Flexible working model: up to 3days of home office per week after the 1st month Opportunities to learn: 450Euro budget every year for training, languages platform, e-learning platform, dedicated development program… Career opportunities: Opportunity to build your career (both locally and internationally) in a large global company, one of the world leaders in its field Diversity, Equity & Inclusion : Coface aims to be a leader in Diversity, Equity, and Inclusion within the Trade Credit-Insurance industry. We are committed to creating an environment where every employee can thrive, fostering a culture of belonging and fairness. By attracting top talent from diverse backgrounds, we strive to be a model for an inclusive employee experience. As an equal opportunity employer, Coface welcomes all qualified applicants without regard to gender, race, ethnicity, sexual orientation, age, beliefs, disability, or any other legally protected characteristics.

About HeavenGifts HeavenGifts was founded in 2007 and has been a pioneer in China's e-vapor industry, witnessing and driving the industry's rapid development. In 2009, we established heavengifts.com to embark on the international journey of e-vapor products, building a bridge for domestic brands to enter the global market. From 2018 to 2021, we successfully transformed into a global brand owner, launching renowned brands such as ELFBAR and LOST MARY. Our business now covers over 100 markets worldwide, with more than 100,000 retail outlets, serving over 50 million adult users. We are committed to becoming a globally recognized and trusted new generation tobacco brand. Job Responsibilities Develop, test, and implement machine learning models to optimize business processes such as forecasting, recommendations, and customer segmentation. Work closely with cross-functional teams (product, marketing, engineering) to translate business needs into data-driven solutions. Design and conduct A/B testing, model validation, and performance evaluation. Create and deliver clear data visualizations and reports to communicate findings to both technical and non-technical stakeholders. Stay up-to-date with advancements in data science and machine learning algorithms, and propose innovative solutions to business problems. Job Requirements Bachelor's or Master’s degree in Data Science, Computer Science, Statistics, or a related field. 3+ years of experience in data science, machine learning, or analytics. Strong proficiency in Python (Pandas, Scikit-learn, TensorFlow, PyTorch), R , or similar languages. Expertise in working with large-scale data, including structured and unstructured datasets. Solid knowledge of machine learning techniques and algorithms (supervised, unsupervised, deep learning, etc.). Experience with SQL and NoSQL databases (e.g., MySQL, MongoDB, Hadoop). Familiarity with cloud platforms (AWS, GCP, or Azure) and data pipeline tools (e.g., Apache Airflow). Strong problem-solving skills and the ability to communicate complex findings clearly to non-technical stakeholders. Preferred Skills Experience in natural language processing (NLP) or computer vision . Familiarity with big data tools (e.g., Spark, Kafka, Hive). Knowledge of data visualization tools (e.g., Tableau, Power BI, Matplotlib). Experience in deploying machine learning models into production environments. HeavenGifts is looking forward to your joining and creating a brighter future together. HeavenGifts – Innovation, Sustainability, Responsibility.

About Toyota Connected If you want to change the way the world works, transform the automotive industry and positively impact others on a global scale, then Toyota Connected is the right place for you! Within our collaborative, fast-paced environment we focus on continual improvement and work in a highly iterative way to deliver exceptional value in the form of connected products and services that wow and delight our customers and the world around us. About the Team Toyota Connected India is looking for an experienced Data Scientist to develop models for predicting traffic behaviour scenarios using data from simulations and real-world sources. You’ll work on reinforcement learning, complex event detection, and probabilistic forecasting for real-time decision-making in autonomous systems and smart infrastructure What you will do · Design predictive models for trajectory forecasting , traffic participant’s behaviour , and crossing probabilities . · Develop risk scoring mechanisms using time-shifted risk prediction and sliding time windows . · Implement multi-agent reinforcement learning (MARL) frameworks to simulate and train cooperative behaviours. · Work with simulation teams to integrate ground truth scenarios and replayable datasets. · Build scoring algorithms for different data dimensions based on the severity and impact . · Evaluate model performance using precision, recall , and event-level accuracy . · Collaborate with data engineers to define feature pipelines and streaming inputs. You are a successful candidate if you have · 3+ years of experience in applied data science, preferably in real-time or simulation-based environments. · Strong proficiency in Python, NumPy, Pandas, and deep learning frameworks like PyTorch or TensorFlow. · Experience with time-series analysis , Bayesian models , or probabilistic forecasting . · Understanding of reinforcement learning , especially multi-agent settings . · Knowledge of vehicle kinematics , trajectory forecasting , or intelligent transportation systems . Preferred Qualifications: · Experience with simulation environments like CARLA , SUMO or VISSIM simulation data. · Prior work on ADAS , or smart city risk management . · Familiarity with CEP engines or event stream analytics tools. · Understanding of data fusion from camera, LiDAR and other infrastructure inputs. What is in it for you? · Top of the line compensation! · You'll be treated like the professional we know you are and left to manage your own time and workload. · Yearly gym membership reimbursement & Free catered lunches. · No dress code! We trust you are responsible enough to choose what’sappropriate to wear for the day. · Opportunity to build products that improves the safety and convenience of millions of customers · Cool office space and other awesome benefits! Our Core Values: EPIC Empathetic : We begin making decisions by looking at the world from the perspective of our customers, teammates, and partners. Passionate: We are here to build something great, not just for the money. We are always looking to improve the experience of our millions of customers Innovative : We experiment with ideas to get to the best solution. Any constraint is a challenge, and we love looking for creative ways to solve them. Collaborative: When it comes to people, we think the whole is greater than its parts and that everyone has a role to play in the success! To know more about us ,check out our glassdoor page https://www.glassdoor.co.in/Reviews/TOYOTA-Connected-Corporation-Reviews-E3305334.htm

Key Responsibilities: Content Writing: Produce unique, high-quality content on various topics as per client requirements. Creative Concept Development: Work closely with clients to interpret briefs and develop creative concepts. Editing & Rewriting: Edit, rewrite, and enhance content as needed to ensure clarity, quality, and consistency. Collaboration: Work closely with the Creative Head to ensure that content meets the agreed-upon standards and deadlines. Mentorship: Supervise and mentor junior content writers, offering guidance and feedback. Client Interaction: Communicate with clients to gather requirements and provide updates on content progress. Meeting Deadlines & Budgets: Ensure all deliverables are completed within the set timelines and budget. Qualifications: Proven experience in content writing and copywriting. Strong editing and rewriting skills. Ability to understand client briefs and translate them into creative concepts. Experience in supervising and mentoring junior content writers. Excellent communication skills and ability to work collaboratively with clients and internal teams. Ability to meet deadlines and work within a budget.

Role: Data Scientist Experience: 4-8 Years Working Days: 5 Days Work Mode: Hybrid (One week work from office in a month) Location: Bangalore/ Chennai Notice Period – Immediate or 15 days maximum You are a successful resource for this role, if you have- · 3+ years of experience in applied data science , preferably in real-time or simulation-based environments. · Strong proficiency in Python , NumPy, Pandas , and deep learning frameworks like PyTorch or TensorFlow. · Experience with time-series analysis , Bayesian models, or probabilistic forecasting. · Understanding of reinforcement learning , especially multi-agent settings. · Knowledge of vehicle kinematics, trajectory forecasting, or intelligent transportation systems.

About Client: It is a global IT services company specializing in product engineering and digital transformation. They are known for their unique delivery platform, Excel Shore, which leverages data science to enhance client value. With over 28 years of experience, partners with technology-led businesses worldwide, including independent software vendors (ISVs). offers end-to-end software product development, modernization, and platform integration services. has multiple locations and serves a diverse range of industries, including software, media, travel, retail, and healthcare. have a large team of over 7,500 employees dedicated to delivering innovative solutions. emphasizes a diverse and inclusive workplace, with a significant percentage of women in their workforce. Job Title: Dotnet Fullstack Developer · Location: Pan India · Experience: 7 + Yrs · Mode of Work : Remote/Hybrid · Job Type : Contract to hire. · Notice Period: Immediate joiners. · Project Tenure: Long-term project Job Description: Python, ML, NLP (LDA, embeddings, RAG), AI techniques, LLM-based matching (e.g., GPT/embeddings), timeseries forecasting Django is essential Experience with Databricks, Azure ML Stack, OpenAI API, Spark, and fuzzy matching would be a plus. Builds and deploys ML pipelines (incl. MLOps, API endpoints, CI/CD) Works with Langchain, Azure Synapse, Kubernetes, and modern ML frameworks

The applicant should have hands-on expertise in Data Analytics, Statistical Data Analysis. The applicant should have proficiency in Python and/or R Proficiency in Machine Learning, Deep Learning, Statistics, and Linear Algebra would be added advantage The expertise in Power BI and advanced Excel will also be preferable The applicant should have good communication and presentation skills Candidates should have 3-7 years of industry experience. Freshers Need Not Apply Immediate Joining Responsibilities Understand the day-to-day issues that our business faces, which can be better understood with data Compile and analyze data related to business issues Develop clear visualizations to convey complicated data in a straightforward fashion Qualifications Bachelor's or Master's degree in Engineering or equivalent experience 3 - 4 years' Data Analysis experience Proficient in Python and/or R

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. Positions in this function produce innovative solutions driven by exploratory data analysis from unstructured, diverse datasets typically measured in gigabytes or larger. Applies 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. Uses a flexible, analytical approach to design, develop, and evaluate predictive and prescriptive models and advanced algorithms that lead to optimal value extraction from the data. Works with analytics and statistical software such as SQL, R, Python, Hadoop and others to perform analysis and interpret data. This function is not intended for employees performing the following work: less complex analysis on small data sets; rules-based algorithmic or descriptive analytics; development of big data infrastructure. Primary Responsibilities Analyzes and investigates Provides explanations and interpretations within area of expertise 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 regard 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 Qualification Under graduation, Btech 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.

Who We Are Verve has created a more efficient and privacy-focused way to buy and monetize advertising. Verve is an ecosystem of demand and supply technologies fusing data, media, and technology together to deliver results and growth to both advertisers and publishersno matter the screen or location, no matter who, what, or where a customer is. With 30 offices across the globe and with an eye on servicing forward-thinking advertising customers, Verves solutions are trusted by more than 90 of the United States top 100 advertisers, 4,000 publishers globally, and the worlds top demand-side platforms. Learn more at www.verve.com. About the Role In this role you will work closely with product, engineering and other teams, collaborate with other Data Science team and with the Machine Learning Engineers to engineer prototypes into solutions. Domain In this role your main focus would be on our Audience generation and insight projects Audience generation: ML for embedded targets, audience privacy first approaches, Composite AI agents, etc.. Audience insight - describe audience composition and characteristics Adhoc analysis - support business request to better understand our data assets when data is not readily available from our BI tools Support sales pitch - provided valuable extra insight to augment the value proposition for key accounts Research and Development Our Data Science role includes the following responsibilities: Research and development of cutting edge Machine Learning systems, models, and schemes in many different areas of Adtech Develop real-time algorithms for audience creation and segmentation Discover insights/patterns in our customers from various data sources such as exchange data, behavioural data, location data, 1 and 3rd party data assets Design experiments, oversee A/B testing, evaluate the quality of derived assets and continuously monitor model performance Create proof of concepts and data science prototypes Search and select appropriate data sets Perform statistical analysis and use results to improve models Identify differences in data distribution that could affect model performance in real-world situations Visualize data for deeper insights Analyze the use cases of ML algorithms and ranking them by their success probability Understanding when your findings can be applied to business decisions Reducing business problems into Machine Learning problems and opportunities Verifying data quality Collaborative Work Work closely with product, engineering, and sales teams to drive the use of Data Science across the Verve Group Collaborate with our Exchange Data Science team Collaborate with Machine Learning Engineers to engineer prototypes into solutions What You will bring 8+ years experience working as a Data Scientist in industry (preferably in advertising) is a must A postgraduate degree in a relevant quantitative field (e.g. applied mathematics, statistics, engineering, computer science, physics, operations research, economics, behavioral sciences). PhD is a strong plus, Fluent in statistical analysis, data mining, and machine learning, Proficient in Python, SQL, PySpark, TensorFlow (TfLite), Sklearn, Keras and Pytorch Enthusiasm for solving interesting problems, Willingness to learn and work in a team-oriented and constantly changing environment. Nice to have Previous experience in Audience creation and insight, (Highly imbalanced) classification problems, Data asset identification to feature engineering, Classification and neural network Regularisation, Feature selection, and hyperparameter tuning What we also work with We work with a wide range of tools, technologies and processes. The right candidate should have willingness to learn new technologies. In this role is you will get hands-on experience with many established and emerging technologies: Framework: Metaflow (or similar), Modeling framework: Tensorflow, Keras, pyTorch Hyperparameter tuning framework: HyperOpt, Keras_tuner, .. MlFlow, Technologies: GCP and/or AWS (e.g. logExplorer, Cloud function, Cloud scheduler), BigQuery, DevOps tooling: Airflow (or similar), Grafana (or similar), Jupyterhub (or similar) Other: Challenging constraints (Sparse data assets, Privacy first constraints,, low latency for inferences), Efficient work with Big Data (wrangling, modeling, low latency inference, shuffling issue), Developing data-driven products. WHAT WE OFFER Be part of a multicultural team that is bringing advertising to the next level You will learn and evolve in an empowering environment characterized by entrepreneurial actions Responsibility, independence, and an opportunity to participate in projects that have a significant impact on Verves success 3 Wellness days per year (in Q1, Q2 & Q3) and Employee Assistance Program to help you maintain your well-being Enhance your professional skills with a yearly training budget and improve your language skills through German and/or English classes Work and Travel Program (monthly raffle after 2 years of employment) We are eager to build a great team together and we appreciate your help through our Employee Referral Bonus Align your interests with the company's success and take part in our Employee Shares Purchase Plan You will be entitled to 19 holidays per year in addition to any of the public/bank holidays Personalized Benefits Platform; with a budget of 4100 INR/month, you can choose the benefits that fit you best from the following options: Mobility and travel Entertainment and food Fitness and healthcare Enjoy food and beverage benefits with colleagues and have fun during team events Medical insurance for self and family Verve provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Role & responsibilities 1.Programming Languages 2.Machine Learning & Deep Learning 3.Natural Language Processing (NLP) 5. Data Engineering & Analytics 6.AI Model Deployment

Career Area Technology, Digital and Data Job Description Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. Caterpillar Inc. is more than big, heavy equipment and much more than yellow iron. Our products have evolved from simple mechanical workhorses to sophisticated, electronically controlled work-site solutions. This transformation along with our smart factories and our integrated dealer network has wealth of data ready to be harvested to open new markets, fine tune our processes or deliver differentiated customer solutions. Analytics Professionals are the data driven, business professionals providing solutions to all areas across the Caterpillar enterprise. Marketing & Branding Analytics uses quantitative methods such as business simulations, data mining, and advanced statistical techniques to solve marketing challenges for internal and external Caterpillar customers. The Data Scientist II contributes to this mission by leveraging his or her quantitative analysis, data management, modeling and/or data visualization skills as an individual contributor to project teams tasked with solving business problems. Job Duties Typical problems include enhancing customer satisfaction by delivering key insights on customer experience, identifying sales, rental, and service opportunities for Caterpillar dealers, determining the principal drivers to maximize marketing return on investment; recommending optimum investment in each marketing channel. The principal responsibility of the Data Scientist is to be an independent contributor to multi-person analytic teams. This position has a depth of knowledge in quantitative analytic methods, data management, and or associated digital technologies suitable to handle all but the most complex issues. Data Scientist is expected to be familiar with the company’s processes, products, and organization, as well as its customers, competitors, and stakeholders. Work is typically directed by a direct supervisor, project or team lead through a review of results. Decisions on routine, medium risk issues that may affect the project team, suppliers or internal customers may be made by this position. Challenges include meeting expectations in delivering results, learning to refine solutions to better fit complex situations, making timely decisions, and communicating effectively with all project stakeholders. The Data Scientist also mentors and develops the capabilities and organizational knowledge of junior data scientists and associates. The Data Scientist demonstrates thorough knowledge of statistical approaches, data management techniques, and/or related digital technologies, and the ability to handle complex issues. The incumbent demonstrates very good communication and presentation skills, being able to explain conclusions to customers who have limited knowledge and experience with quantitative analytical methods. As an individual contributor on teams, they should also exhibit strong initiative and teamwork skills, and a comprehensive knowledge of Caterpillar Inc., its products and services; its internal systems, processes, and procedures; and the external environment in which it competes. Background/Experience: Bachelor’s degree, preferably in AI, Data Science, Computer Science, Statistics or a similar field with quantitative coursework, and 4-5 years of marketing analytics experience utilizing quantitative analysis, a Master’s degree and 2-4 years of experience, or a PhD in one of the associated fields. Strong understanding of machine learning algorithms, data structures, and statistical methods. Experience with deep learning techniques and neural networks Ability to work with large datasets in cloud environment and perform data preprocessing and feature engineering. Proficiency in Python and experience with machine learning frameworks such as TensorFlow or PyTorch. Experience in designing, developing, deploying Machine Learning models using AWS Sage Maker. Preference: GA4(Google analytics) Expertise. Strong understanding of GA4 analytics concepts like channels/medium/source, tracking campaign engagement (UTM), events/sessions interactions etc. Ability to work with large amount of GA4 data, capable of doing in depth analysis on user behaviour , campaign attribution & customer churn and present actionable insights to the business. Posting Dates July 23, 2025 - July 29, 2025 Caterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply Not ready to apply? Join our Talent Community.

Responsibilities: Design and implement advanced solutions utilizing Large Language Models (LLMs). Demonstrate self-driven initiative by taking ownership and creating end-to-end solutions. Conduct research and stay informed about the latest developments in generative AI and LLMs. Develop and maintain code libraries, tools, and frameworks to support generative AI development. Participate in code reviews and contribute to maintaining high code quality standards. Engage in the entire software development lifecycle, from design and testing to deployment and maintenance. Collaborate closely with cross-functional teams to align messaging, contribute to roadmaps, and integrate software into different repositories for core system compatibility. Possess strong analytical and problem-solving skills. Demonstrate excellent communication skills and the ability to work effectively in a team environment. Primary Skills: Natural Language Processing (NLP): Hands-on experience in use case classification, topic modeling , Q&A and chatbots, search, Document AI, summarization, and content generation. AND/OR Computer Vision and Audio: Hands-on experience in image classification, object detection, segmentation, image generation, audio, and video analysis. Generative AI: Proficiency with SaaS LLMs, including Lang chain, llama index, vector databases, Prompt engineering (COT, TOT, ReAct , agents). Experience with Azure OpenAI, Google Vertex AI, AWS Bedrock for text/audio/image/video modalities. Familiarity with Open-source LLMs, including tools like TensorFlow/ Pytorch and huggingface . Techniques such as quantization, LLM finetuning using PEFT, RLHF, data annotation workflow, and GPU utilization . Cloud: Hands-on experience with cloud platforms such as Azure, AWS, and GCP. Cloud certification is preferred. Application Development: Proficiency in Python, Docker, FastAPI /Django/Flask, and Git. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Not the right fitLet us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

A.com Data Scientists/Analysts are a part of the A.com Digital Media (DMe - Consumer business) and Digital Experience (DX Enterprise business) product analytics teams and operate across a broad spectrum of responsibilities such as web analytics, cross-surface data stitching/insights, hypothesis testing & optimization, SEO analytics, forecasting, data modeling, and data sciences. The analysts are responsible for driving deeper customer analytics and insights using Adobe Experience Cloud (ie, Adobe Analytics, CJA, Adobe Debugger) and Big Data Platform (Hadoop/Hive/DBx) to develop deep and meaningful insights across multiple web surfaces. As a member of the global team, you will be involved in analytics associated with various surfaces like Adobe.com, mobile, web apps, web products, and desktop apps (ie, Creative Cloud Desktop). Responsibilities: Utilize best-in-class analytics tools, including Adobe Experience Cloud (eg, Adobe Analytics, CJA, etc) and Hive/SQL to stitch, assess, interpret, and analyze data to deliver insights and understanding of visitor/customer behavior on key Adobe business surfaces like A.com web, mobile, web apps, desktop apps, products, checkout flows etc Ability to draw insights from structured and unstructured data. Proactively identify and analyze trends within the data to understand visitor/customer behavior, market dynamics and surface performance using associated business performance metrics like Traffic, CVR, Product mix, High Value Actions, SEO ranking, ARR, Product engagement, LTV, CTR etc To work with Marketing, Finance, Product, and eCommerce teams to understand end to end customer journeys on various surfaces, draw insights from the same, support RTB process, launch measurements and business targets tracking. Creation, enhancement, and application of various models used across A.com teams for Forecasting, SEO, LTV, Optimization, Next best action/product, Keyword clustering, CTR models and more. Ownership of SEO analytics including SEO data mart and various dashboards, creation, and enhancement of statistical and mathematical models for SEO and update the leadership on the evolutions in the SEO space. Ownership and sound understanding of the business, science and techniques used to set business targets for different Adobe business surfaces using various data science models and forecasting methodologies. Review test hypotheses, help develop comprehensive growth plans and success metrics along with performing quality assurance on test set ups and targeted audiences. Analyze test results and craft meaningful test summaries to provide interpretation, guidance, recommendations, and actionable insights for key business stakeholders. To understand diverse customer intent using voice of the customer analytics and to provide actionable insights for key business stakeholders. Ability to parse, stitch, and draw meaningful insights from different Adobe data sources (online, product usage, financial etc) to better understand the cross-surface journeys across Adobe.com and Adobe products to optimize for growth and engagement KPI s agreed upon with products teams. Partner with data engineering team to drive creation of reports and dashboards to visually communicate insights effectively. Make complex findings easily understandable, by highlighting key takeaways and actionable recommendations.