1440 Data Scientist Jobs - Page 16

Experience: 3 to 4 Years Y Location: Mumbai Openings: 1 Job description: We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights. In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research. Your goal will be to help our company analyze trends to make better decisions. Requirement: Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams Skills: Proven experience as a Data Scientist. Experience in data mining Understanding of machine-learning and operations research Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop) Analytical mind and business acumen Strong math skills (e.g. statistics, algebra) Problem-solving aptitude Excellent communication and presentation skills BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred Benefits: Work from home, flexible working hours Skills development and training opportunities, company-paid certifications Opportunities to advance career An open-minded and inclusive company culture Role: Data Scientist Department: Software Engineer Education: B.Tech

You will lead the development of predictive machine learning models for Revenue Cycle Management analytics, along the lines of: 1 Payer Propensity Modeling - predicting payer behavior and reimbursement likelihood 2 Claim Denials Prediction - identifying high-risk claims before submission 3 Payment Amount Prediction - forecasting expected reimbursement amounts 4 Cash Flow Forecasting - predicting revenue timing and patterns 5 Patient-Related Models - enhancing patient financial experience and outcomes 6 Claim Processing Time Prediction - optimizing workflow and resource allocation Additionally, we will work on emerging areas and integration opportunities—for example, denial prediction + appeal success probability or prior authorization prediction + approval likelihood models. You will reimagine how providers, patients, and payors interact within the healthcare ecosystem through intelligent automation and predictive insights, ensuring that providers can focus on delivering the highest quality patient care. VHT Technical Environment 1 Cloud Platform: AWS (SageMaker, S3, Redshift, EC2) 2 Development Tools: Jupyter Notebooks, Git, Docker 3 Programming: Python, SQL, R (optional) 4 ML/AI Stack: Scikit-learn, TensorFlow/PyTorch, MLflow, Airflow 5 Data Processing: Spark, Pandas, NumPy 6 Visualization: Matplotlib, Seaborn, Plotly, Tableau Show more Show less

We are looking for a highly skilled and motivated Data Scientist with deep experience in building recommendation systems to join our team. This role demands expertise in deep learning, embedding-based retrieval, and the Google Cloud Platform (GCP). You will play a critical role in developing intelligent systems that enhance user experiences through personalized content discovery. Key Responsibilities: Develop, train, and deploy recommendation models using two-tower, multi-tower, and cross-encoder architectures . Generate and utilize text/image embeddings (e.g., CLIP , BERT , Sentence Transformers ) for content-based recommendations. Design semantic similarity search pipelines using vector databases (FAISS, ScaNN, Qdrant, Matching Engine). Create and manage scalable ML pipelines using Vertex AI , Kubeflow Pipelines , and GKE . Handle large-scale data preparation and feature engineering using Dataproc (PySpark) and Dataflow . Implement cold-start strategies leveraging metadata and multimodal embeddings. Work on user modeling , temporal personalization , and re-ranking strategies . Run A/B tests and interpret results to measure real-world impact. Collaborate with cross-functional teams (Engineering, Product, DevOps) for model deployment and monitoring. Must-Have Skills: Strong command of Python and ML libraries: pandas, polars, numpy, scikit-learn, matplotlib, tensorflow, torch, transformers. Deep understanding of modern recommender systems and embedding-based retrieval . Experience with TensorFlow , Keras , or PyTorch for building deep learning models. Hands-on with semantic search , ANN search , and real-time vector matching . Proven experience with Vertex AI , Kubeflow on GKE , and ML pipeline orchestration. Familiarity with vector DBs such as Qdrant , FAISS , ScaNN , or Matching Engine on GCP. Experience in deploying models via Vertex AI Online Prediction , TF Serving , or Cloud Run . Knowledge of feature stores , embedding versioning , and MLOps practices (CI/CD, monitoring). Preferred / Good to Have: Experience with ranking models (e.g., XGBoost , LightGBM , DLRM ) for candidate scoring. Exposure to LLM-powered personalization or hybrid retrieval systems. Familiarity with streaming pipelines using Pub/Sub , Dataflow , Cloud Functions . Hands-on with multi-modal retrieval (text + image + tabular data). Strong grasp of cold-start problem solving , using enriched metadata and embeddings. GCP Stack You’ll Work With: ML & Pipelines: Vertex AI, Vertex Pipelines, Kubeflow on GKE Embedding & Retrieval: Matching Engine, Qdrant, FAISS, ScaNN, Milvus Processing: Dataproc (PySpark), Dataflow Ingestion & Serving: Pub/Sub, Cloud Functions, Cloud Run, TF Serving CI/CD & Automation: GitHub Actions, GitLab CI, Terraform Show more Show less

Note: Gaming, E-Commerce, Fintech, EdTech or any B2C experience is must. Responsibilities: • Develop an in-depth understanding of user journeys and generate data driven insights & recommendations to help product and customer success teams in meticulous decision-making. • Define and analyze key product data sets to understand customer and product behavior. • Work with stakeholders throughout the organization to identify opportunities for leveraging data to identify areas of growth and build strong data backed business cases around the same. • Perform statistical analysis/modelling on data and uncover hidden data patterns and correlations. • Perform feature engineering and develop and deploy predictive models/algorithms. • Coordinate with different teams to implement and deploy AI/ML driven models. • Conduct ad-hoc analysis around product areas for growth hacking and produce consumable reports for multiple business stakeholders. • Develop processes and tools to monitor and analyze model performance and data accuracy. Technical Skills : • At least 2-4 years of experience of working with real-world data and building statistical models. • Hands-on experience of programming with Python, including working knowledge of packages like Pandas, Numpy, SciPy, Scikit-Learn,Seaborn,Plotly etc. • Hands-on knowledge of SQL and Excel. • Deep understanding of key supervised and unsupervised ML algorithms – should be able to explain what is happening under the hood and their real-world advantages/drawbacks. • Strong foundation of statistics and probability theory. • Knowledge of advanced statistical techniques and concepts (properties of distributions, statistical tests, simulations, Markov chain etc.) and experience with applications. Other Skills: • Preferred Domain Experience: Gaming, E-Commerce, or any B2C experience. • Ability to break a problem into smaller chunks and design solution accordingly. • Ability to dive deeper into data, ask right questions, analyze with statistical methods and generate insights. • Ability to write modular, clean and well-documented code along with crisp design documents. • Strong communication and presentation skills. Show more Show less

Chicmic Studios Job Role: Data Scientist Experience Required: 3+ Years Skills Required: Data Science, Python, Pandas, Matplotlibs Job Description: We are seeking a Data Scientist with strong expertise in data analysis, machine learning, and visualization. The ideal candidate should be proficient in Python, Pandas, and Matplotlib, with experience in building and optimizing data-driven models. Some experience in Natural Language Processing (NLP) and Named Entity Recognition (NER) models would be a plus. Roles & Duties: Analyze and process large datasets using Python and Pandas. Develop and optimize machine learning models for predictive analytics. Create data visualizations using Matplotlib and Seaborn to support decision-making. Perform data cleaning, feature engineering, and statistical analysis. Work with structured and unstructured data to extract meaningful insights. Implement and fine-tune NER models for specific use cases (if required). Collaborate with cross-functional teams to drive data-driven solutions Required Skills & Qualifications: Strong proficiency in Python and data science libraries (Pandas, NumPy, Scikit-learn, etc.). Experience in data analysis, statistical modeling, and machine learning. Hands-on expertise in data visualization using Matplotlib and Seaborn. Understanding of SQL and database querying. Familiarity with NLP techniques and NER models is a plus. Strong problem-solving and analytical skills. Contact: 9875952836 Office Address: F273, Phase 8B industrial Area, Mohali, Punjab. Job Type: Full-time Schedule: Day shift Monday to Friday Work Location: In person

Data Scientist Location: Pune (Baner) - Onsite, with possible options of Hybrid Contract: Full-time Salary: Competitive depending on experience. About Protect Group: Protect Group, established in 2016, is an innovative global technology leader enhancing customer experiences and revenue opportunities for businesses through AI-driven solutions. With over 400 partners across 75+ countries, we provide an intuitive widget that seamlessly integrates with online sales platforms, dramatically improving customer satisfaction and boosting ancillary revenue. Our culture is defined by ambition, innovation, and excellence—our Protect People embody these values, making a significant impact across sectors including travel, hospitality, transportation, events, and financial services. Role Overview: We are seeking a talented Data Scientist to play a central role in our global data team. You'll lead analytical initiatives, driving experimentation and optimisation in pricing strategies, significantly influencing our product insights and commercial decision-making. You’ll leverage your expertise in advanced analytics, machine learning, and statistical modelling to derive actionable insights from complex datasets. Key Responsibilities: Analyse large online datasets to uncover valuable insights into consumer behaviour, price elasticity, and revenue optimisation. Collaborate with Product, Technology, Marketing and Sales teams. Contribute insights towards the development and refinement of predictive models used to forecast demand and optimise pricing and content. Create clear and intuitive dashboards and visualisations to communicate insights effectively, facilitating strategic business decisions. Act as a data analytics specialist, encouraging a culture of informed, data-driven decision-making throughout the organisation. Required Skills & Experience: Extensive experience conducting data analysis within relevant sectors. Proficiency in SQL, Python, and data science libraries such as sklearn, XGBoost, and CatBoost. Experience with Azure, MLOps, and API frameworks. Strong understanding of statistical methods, probability theory, pricing optimisation, and elasticity modelling. Expertise with data visualisation tools (e.g., Tableau). Exceptional analytical and creative problem-solving skills, with meticulous attention to detail. Excellent communication skills—capable of articulating complex analytical findings clearly and effectively. Adaptable, innovative, and self-driven, comfortable in fast-paced, agile environments. Why Protect Group? Join a rapidly scaling tech company revolutionising global industries. Lead impactful analyses that directly shape strategic decisions and commercial outcomes. Work within a talented team dedicated to innovation and continuous improvement. Ready to Join Us? If you're passionate about analytics and keen to drive meaningful insights, we want to hear from you! Submit your CV today and share how you'll contribute to Protect Group’s continued success. ***Please note we will be considering those who are currently residing in Pune first. Show more Show less

Seeking a Lead Data Scientist to build AI-driven solutions for clinical decision support, chronic disease management, and patient risk prediction. Requires 8+ years in data science, ML/DL expertise & healthcare AI experience. US Healthcare exp must

JOB DESCRIPTION About the Advanced Analytics teamThe central Advanced Analytics team at the Abbott Established Pharma Division’s (EPD) headquarters in Basel helps define and lead the transformation towards becoming a global, data-driven company with the help of data and advanced technologies (e.g., Machine Learning, Deep Learning, Generative AI, Computer Vision). To us, Advanced Analytics is an important lever to reach our business targets, now and in the future; It helps differentiate ourselves from our competition and ensure sustainable revenue growth at optimal margins. Hence the central AA team is an integral part of the Strategy Management Office at EPD that has a very close link and regular interactions with the EPD Senior Leadership Team.Primary Job Function: With the above requirements in mind, EPD is looking to fill a role of a Data Scientist to build and refine effective Data Science Solutions for Abbott EPD world-wide.Core Job Responsibilities: The Data Scientist rapidly navigates from identifying priorities and helping to generate ideas to implementing solutions. TheyParticipate/drive data collection, cleaning, analysis and interpretation (EDA).Collaborate with the business partner and product owners to ideate on solutions to challenging problems.Generate insightful visualizations to communicate findings.Carry out model selection, validation and possible ways for deployment (in collaboration with the engineering team).Write high quality code with possibility of deployment in mind.Share the learnings and findings with other data scientists contributing to the collaborative environment.Collaborate with Sr. Data Scientists and take full responsibility for analysis and modeling tasks.Build effective and efficient AA solutions to business needs, leveraging available market resources as much as possible.Keep himself/herself committed to continuous learning about the latest trends and technologies.Work closely with the Product Owners and the Engineering team to ensure delivery of the Data Science part of the projects within time, cost and quality.Collaborate with external vendors, evaluating their capabilities and ensuring their alignment with data science standards and project requirements.Continuously engage in hands-on data analysis, modeling, and prototyping DS frameworks to deliver high-quality outputs.Supervisory/Management Responsibilities: Direct Reports: None.Indirect Reports: None.Position Accountability/Scope: The Data Scientist is responsible for delivering targeted business impact per initiative in collaboration with key stakeholders and identifying next steps/future impactful opportunities. This individual contributor role involves working with cross-functional teams to build innovative solutions for internal business functions across different geographies.Minimum Education: Master or PhD in relevant field (e.g., applied mathematics, computer science, engineering, applied statistics)Minimum Experience: At least 3-5 years of relevant working experience, ideally in pharma environmentSolid experience working on full-life cycle data science; experience in applying data science methods to business problems (experience in the financial/commercial or manufacturing / supply chain areas a plus).Strong experience in e.g., data mining, statistical modelling, predictive modelling, and development of machine learning algorithmsProven problem-solving ability in international settings preferably with developing marketsProven experience in working in cloud environment preferably AWS / SagemakerStrong experience working on full-life cycle data science; experience in applying data science methods to business problemsPractical experience in deploying machine learning solutionsStrong understanding of good software engineering principles and best practicesAbility to work and lead cross-functional teams to bring business and data science closer together - consultancy experience a plusIntrinsic motivation to guide people and make Advanced Analytics more accessible to a broader range of stakeholdersDeep domain expertise in a specific field, such as Artificial Intelligence, Machine Learning, Natural Language Processing, or Computer VisionStrong programming skills in languages such as Python or R, with proficiency in data manipulation, wrangling, and modeling techniquesStrong experience building and debugging complex SQL queriesExcellent knowledge of statistical techniques, machine learning algorithms, and their practical implementation in real-world scenariosExceptional communication and presentation skills, with the ability to convey complex concepts and insights to both technical and non-technical stakeholdersProven track record of delivering data-driven solutions that have had a measurable impact on business outcomesExposure to big data technologies (e.g., Hadoop, Spark) is highly desirableDemonstrated ability to drive the adoption of data science best practices, standards, and methodologies within an organizationFluency in English a must, additional languages a plus

Salary : 20 to 35 LPA Exp: 3 to 8 years Location :Noida/Gurugram/Bangalore 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.

The Job: We are Seeking to identify a Data Scientist AI ML responsible to work on the company's maintenance use cases. This will include collaboration with aircraft engineers to plan installation of new aircraft sensors and avionics, enhancements to existing aircraft monitoring software, deployment of new predictive models, collaboration with OEMs, integration of health monitoring into United's approved maintenance programs, and technology to provide aircraft data directly to technicians. Liaison with Stakeholders in the Aircraft Health Monitoring team, Aircraft Engineering and other Data Scientists to understand the importance of several Predictive Mx use case, their executive feasibility and do a cost benefit analysis to identify the highest impact use cases that need to be prioritized Work on complex Sensor data coming out of AC systems like ACARS and QAR and be able to parse out relevant information Analyze the AC Maintenance and Operations data that to identify issues with critical A/C systems Build, Test, Deploy and Monitor complex Machine learning algorithms that predict AC failures Maintain and enhance existing model deployments to make sure they stay valuable and relevant Mentor junior members of the team and stay up to date with ML advances Your Profile: An ideal candidate will hold a bachelor's degree in a quantitative field in quantitative field like Math, Statistics, Operations Research, Computer Science, Engineering, Physics, or related fields with at least 4+ years of experience in Data Science/Machine Learning/advanced analytics/optimization. Deep understanding of data structures, relationships, and efficient transformations Familiarity with all parts of the data ecosystem -- acquisition, engineering, storage, management, analysis, visualization, and model deployment and monitoring Strong Knowledge of database querying and being able to write complex queries to extract data Fluent skill in python/pyspark Strong knowledge of Statistical Modelling, feature engineering, testing Ability to propose novel modelling approaches based on the problem being solved Must be legally authorized to work in India for any employer without sponsorship Must be fluent in English (written and spoken) Successful completion of interview required to meet job qualification Reliable, punctual attendance is an essential function of the position

JOB DESCRIPTION About the Advanced Analytics teamThe central Advanced Analytics team at the Abbott Established Pharma Division’s (EPD) headquarters in Basel helps define and lead the transformation towards becoming a global, data-driven company with the help of data and advanced technologies (e.g., Machine Learning, Deep Learning, Generative AI, Computer Vision). To us, Advanced Analytics is an important lever to reach our business targets, now and in the future; It helps differentiate ourselves from our competition and ensure sustainable revenue growth at optimal margins. Hence the central AA team is an integral part of the Strategy Management Office at EPD that has a very close link and regular interactions with the EPD Senior Leadership Team.Primary Job Function: With the above requirements in mind, EPD is looking to fill a role of a Data Scientist to build and refine effective Data Science Solutions for Abbott EPD world-wide.Core Job Responsibilities: The Data Scientist rapidly navigates from identifying priorities and helping to generate ideas to implementing solutions. TheyParticipate/drive data collection, cleaning, analysis and interpretation (EDA).Collaborate with the business partner and product owners to ideate on solutions to challenging problems.Generate insightful visualizations to communicate findings.Carry out model selection, validation and possible ways for deployment (in collaboration with the engineering team).Write high quality code with possibility of deployment in mind.Share the learnings and findings with other data scientists contributing to the collaborative environment.Collaborate with Sr. Data Scientists and take full responsibility for analysis and modeling tasks.Build effective and efficient AA solutions to business needs, leveraging available market resources as much as possible.Keep himself/herself committed to continuous learning about the latest trends and technologies.Work closely with the Product Owners and the Engineering team to ensure delivery of the Data Science part of the projects within time, cost and quality.Collaborate with external vendors, evaluating their capabilities and ensuring their alignment with data science standards and project requirements.Continuously engage in hands-on data analysis, modeling, and prototyping DS frameworks to deliver high-quality outputs.Supervisory/Management Responsibilities: Direct Reports: None.Indirect Reports: None.Position Accountability/Scope: The Data Scientist is responsible for delivering targeted business impact per initiative in collaboration with key stakeholders and identifying next steps/future impactful opportunities. This individual contributor role involves working with cross-functional teams to build innovative solutions for internal business functions across different geographies.Minimum Education: Master or PhD in relevant field (e.g., applied mathematics, computer science, engineering, applied statistics)Minimum Experience: At least 3-5 years of relevant working experience, ideally in pharma environmentSolid experience working on full-life cycle data science; experience in applying data science methods to business problems (experience in the financial/commercial or manufacturing / supply chain areas a plus).Strong experience in e.g., data mining, statistical modelling, predictive modelling, and development of machine learning algorithmsProven problem-solving ability in international settings preferably with developing marketsProven experience in working in cloud environment preferably AWS / SagemakerStrong experience working on full-life cycle data science; experience in applying data science methods to business problemsPractical experience in deploying machine learning solutionsStrong understanding of good software engineering principles and best practicesAbility to work and lead cross-functional teams to bring business and data science closer together - consultancy experience a plusIntrinsic motivation to guide people and make Advanced Analytics more accessible to a broader range of stakeholdersDeep domain expertise in a specific field, such as Artificial Intelligence, Machine Learning, Natural Language Processing, or Computer VisionStrong programming skills in languages such as Python or R, with proficiency in data manipulation, wrangling, and modeling techniquesStrong experience building and debugging complex SQL queriesExcellent knowledge of statistical techniques, machine learning algorithms, and their practical implementation in real-world scenariosExceptional communication and presentation skills, with the ability to convey complex concepts and insights to both technical and non-technical stakeholdersProven track record of delivering data-driven solutions that have had a measurable impact on business outcomesExposure to big data technologies (e.g., Hadoop, Spark) is highly desirableDemonstrated ability to drive the adoption of data science best practices, standards, and methodologies within an organizationFluency in English a must, additional languages a plus

Advertising at Amazon is a fast-growing multi-billion dollar business that spans across desktop, mobile and connected devices; encompasses ads on Amazon and a vast network of hundreds of thousands of third party publishers; and extends across US, EU and an increasing number of international geographies. One of the key focus areas is Traffic Quality where we endeavour to identify non-human and invalid traffic within programmatic ad sources, and weed them out to ensure a high quality advertising marketplace. We do this by building machine learning and optimization algorithms that operate at scale, and leverage nuanced features about user, context, and creative engagement to determine the validity of traffic. The challenge is to stay one step ahead by investing in deep analytics and developing new algorithms that address emergent attack vectors in a structured and scalable fashion. We are committed to building a long-term traffic quality solution that encompasses all Amazon advertising channels and provides industry leading traffic filtering leveraging GenAI and state-of-the-art deep learning techniques. Our systems preserve advertiser trust and saves them hundreds of millions of dollars of wasted spend. A Data Scientist is responsible for delivering deep data-driven analyses with insights that drive the business. They would use a combination of analytics, data visualization and machine learning to identify gaps in current solutions as well as prototype new algorithms that close the gaps. The ideal candidate should have strong experience in dive deep analytics and data visualization, thorough knowledge of statistical techniques and strong breadth in machine learning. The candidate should also have good programming and design skills to implement machine learnings algorithms in practice on massive unstructured datasets. 3+ years of data scientist experience 4+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience Experience applying theoretical models in an applied environment Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab) Experience with big data: processing, filtering, and presenting large quantities (100K to Millions of rows) of data Experience in a ML or data scientist role with a large technology company Experience in Computational Advertising

The Global Data Insights and Analytics (GDIA) department at Ford Motors Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization.The candidate should possess the ability to translate a business problem into an analytical problem, identify the relevant data sets needed for addressing the analytical problem, recommend, implement, and validate the best suited analytical algorithm(s), and generate/deliver insights to stakeholders. Candidates are expected to regularly refer to research papers and be at the cutting-edge with respect to algorithms, tools, and techniques. The role is that of an individual contributor; however, the candidate is expected to work in project teams of 2 to 3 people and interact with Business partners on regular basis. Masters degree in computer science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline. Proficient in querying and analyzing large datasets using BigQuery on GCP. Strong Python skills for data wrangling and automation. 2+ years of hands-on experience in Python programming for data analysis, machine learning, and with libraries such as NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, PyTorch, NLTK, spaCy, and Gensim. 2+ years of experience with both supervised and unsupervised machine learning techniques. 2+ years of experience with data analysis and visualization using Python packages such as Pandas, NumPy, Matplotlib, Seaborn, or data visualization tools like Dash or QlikSense. 1+ years experience in SQL programming language and relational databases. Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making by FCSD business team Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data-driven decision-making Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness

1 About the position: Chevron invites applications for the role of Data Scientist within our Enterprise AI team in India. This position is integral to designing and developing AI/ML models that significantly accelerate the delivery of business value. The successful candidate will be working with business stakeholders to prototype and deliver innovative data science applications that add value to Chevron s business. This position will provide broad exposure to the application of technology to enable business with many opportunities for growth and professional development for the candidate. Key Responsibilities: Combine expertise in mathematics, statistics, computer science, and domain knowledge to create AI/ML models to solve various Chevron business challenges Collaborate closely with the AI Technical Manager and GCC Petro-technical professionals and data engineers to integrate models into the business framework. Identify and frame opportunities to apply advanced analytics, modeling, and related technologies to data to help Chevron businesses gain insight and improve decision making, workflow, and automation. Understand and communicate the value of proposed opportunity with team members and other stakeholders. Identify needed data and appropriate technology to solve identified business challenges. Clean data and develop and test models. Establish the life cycle management process for models. Provide technical mentoring in modelling and analytics technologies, the specifics of the modelling process, and general consulting skills. Drive innovation in AI/ML to enhance Chevrons capabilities in data-driven decision-making. Aligns with team on shared goals and outcomes, recognizes others contributions, and work collaboratively seek diverse perspectives. Takes actions to develop self and others beyond existing skillset. Encourages innovative ideas, adapts to change and changing technologies Understand and communicate data, insights, and model behaviors to stakeholders with varying levels of technical expertise. Required Qualifications: Minimum 5 years of experience in designing and developing AI/ML models and/or various optimization algorithms. 5 - 10 years of experience Solid foundation in mathematics, probability, and statistics with demonstrated depth of knowledge and experience in advanced analytics and data science methodologies (e.g. supervised and unsupervised learning, statistics, data science model development) Proficiency in Python and working knowledge of cloud AI/ML services (Azure Machine Learning and Databricks preferred) Domain knowledge relevant to the energy sector and working knowledge of Oil and Gas value chain (e.g., upstream, midstream, or downstream) and associated business workflows. Proven ability to frame data science opportunities, leverage standard foundational tools and Azure services to perform exploratory data analysis (for purposes of data cleaning and discovery), visualize data, and identify actions to reach needed results. Ability to quickly assess current state and apply technical concepts across cross-functional business workflows. Experience with driving successful execution, deliverables, and accountabilities to meet quality and schedule goals. Ability to translate complex data into actionable insights that drive business value. Demonstrated ability to engage and establish collaborative relationships both inside and outside immediate workgroup at various organizational levels, across functional and geographic boundaries to achieve desired outcomes. Demonstrated ability to adjust behaviour based on feedback and provide feedback to others. Team-oriented mindset with effective communication skills and the ability to work collaboratively. Chevron participates in E-Verify in certain locations as required by law.

Our Purpose Title and Summary Lead Data Scientist Lead Data Scientist Overview We are the global technology company behind the world s fastest payments processing network. We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless . We ensure every employee has the opportunity to be a part of something bigger and to change lives. We believe as our company grows, so should you. We believe in connecting everyone to endless, priceless possibilities. Our team within Mastercard: The Data & Services team is a key differentiator for Mastercard, providing the cutting-edge services that are used by some of the worlds largest organizations to make multi-million dollar decisions and grow their businesses. Focused on thinking big and scaling fast around the globe, this agile team is responsible for end-to-end solutions for a diverse global customer base. Centered on data-driven technologies and innovation, these services include payments-focused consulting, loyalty and marketing programs, business Test & Learn experimentation, and data-driven information and risk management services. The New Product Engineering team within Data and Services is engineering the transformation of new ideas into software solutions to test in the market, and then growing and scaling products to meet long-term demand and needs. We achieve this with a "move fast, learn fast" mindset, relentless focus on customer excellence, and a culture of collaboration and empowerment. Our solutions are instrumental in positioning Mastercard as a data & services market leader. Role and Summary Data Scientist The Data Scientist in Data & Services New Product Engineering team is responsible for creating data & analytics solutions including deep learning Artificial Intelligence (A.I.) and Machine Learning (M.L.) models that sit atop large datasets of business and finance operations gathered by mid to large companies. The Data Scientist is responsible for developing full life cycle modeling processes of data analysis, feature engineering, model training, testing, serving and monitoring. As a Data Scientist, you will: Work closely with the business owners to understand business requirements, performance metrics regarding data quality and model performance of customer facing products Work with multiple disparate sources of data, storage systems, and building processes and pipelines to provide cohesive datasets for analysis and modeling Generate and maintain and optimize data pipelines for model building and model performance evaluation Develop, test, and evaluate modern machine learning and A.I. models Oversee implementation of models Evaluate production models based on business metrics to drive continuous improvement Essential Skills: Data engineering and data science experience Experience with SQL language and one or multiple of the following database technologies: PostgreSQL, Hadoop, Spark. Good knowledge of Linux / Bash environment Python and one of the following machine learning libraries oSpark ML oTensorFlow oScikit Learn oXGBoost Good communication skills Highly skilled problem solver Exhibits a high degree of initiative At least an undergraduate degree in CS, or a STEM related field. Nice to have: Bachelor s or Master s in CS, Data Science, ML/AI, or a related STEM field Understands and implements methods to evaluate own work and others for bias, inaccuracy, and error Databricks Loves working with error-prone, messy, disparate, unstructured data Experience in working with Cloud (e.g., Azure, AWS) Experience participating in complex engineering projects in an Agile setting e.g. Scrum Mastercard is an equal opportunity employer that values diversity and inclusion. Applicants will be considered and treated without regard to gender, gender identity, race, color, ethnicity, national origin, religion, sexual orientation, veteran or disabled status, or any other characteristic protected by applicable law.

Join a multidisciplinary team of scientists, engineers, and mathematicians developing catastrophe models for the insurance and reinsurance industries. At Verisk, we are leading the way in generating new solutions based on machine learning and high-resolution numerical weather models to simulate the full distribution of possible extreme weather events cyclones, storm surge, convective storms, and flooding consistent with a changing climate. We are seeking a statistician or atmospheric scientist to advance the development, support, and delivery of the hazard component of atmospheric peril models. Your work will inform risk and capital management decisions globally. Qualifications Expertise in spatial statistics and extreme value analysis Strong understanding of atmospheric dynamics and extremes Experience with dynamic downscaling methods Proficiency in Python Clear written and verbal communication Practical, solution-focused mindset Requirements Ph.D. in statistics, atmospheric science, or a related field; or Master s with 3+ years of relevant experience Key Responsibilities Improve the accuracy of representing atmospheric perils Contribute to model development, validation, and productization for global clients Support model development using observational and reanalysis products, GCMs, and high-resolution simulations

Join a multidisciplinary team of scientists, engineers, and mathematicians developing catastrophe models for the insurance and reinsurance industries. At Verisk, we are leading the way in generating new solutions based on machine learning and high-resolution numerical weather models to simulate storm surge inundation consistent with a changing climate. We are seeking an oceanographer or statistician to advance the expansion, support, and delivery of the hazard component of storm surge peril models. Your work will inform risk and capital management decisions globally. Qualifications Expertise in physics-informed machine learning algorithms Proficiency in deep learning architectures, particularly Convolutional Neural Networks and Recurrent Neural Networks Experience in handling large, complex datasets for efficient utilization Strong understanding of data engineering for model training Experience in a Linux based high performance computing environment Excellent written and verbal communication skills, with the ability to convey technical concepts clearly. A solutions-oriented mindset with a focus on delivering scalable, high-quality solutions. Strong understanding of model evaluation metrics and uncertainty quantification Expert in Python preferred, R also accepted Statistical analysis skills Experience with modelling on GPU architectures Version control in Git Requirements Ph.D. in oceanography or atmospheric science, that makes heavy use of data science, applied mathematics, or a related field; or Master s with 3+ years of relevant experience. Key Responsibilities Contribute to pioneering storm surge research and model development in a framework where machine learning and numerical modeling are the basis of the storm surge modeling. Develop process improvement to optimize model performance Develop and maintain codebase, apply version control (e.g. Git) best practices

Are you interested in helping build world-class solutions for Amazons Rest Of World (ROW) supply chainDo you want to deliver products at scale that influence planning/forecasting of complex supply chain networks across ROW countriesAmazon s ROW (Rest of World) Supply Chain Analytics team is looking for a talented Data Scientist with leadership skills, proven ability to develop, enhance, automate, and manage analytics models using strong quantitative skills. To be successful in the role, you will need to have strong data mining and modeling skills and be comfortable facilitating ideation and working from concept through to execution. You will build tools and support structures needed to analyze data, dive deep into data to determine root cause and present findings to business partners to drive improvements. You will work in a fast-paced environment that requires you to be detail-oriented and comfortable in working with multiple business and technical teams. This position is located at Bangalore, IN. Development of scalable data science solutions to audit and optimize supply chain planning/forecasting Development and execution of analytical tools to model our networks (transportation, first-mile etc). Contribute to the strategy for forecasting/planning, prioritize technical and operational initiatives, evaluate and set stakeholders expectations. 2+ years of data scientist experience 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience Experience applying theoretical models in an applied environment Experience in Python, Perl, or another scripting language Experience in a ML or data scientist role with a large technology company

We are looking for a data scientist to join our existing team of data analysts/ scientists. You must be a storyteller and passionate about Machine Learning, Deep Learning, Computer Vision, NLP and big data technologies. You will also be responsible for end to end model deployment in Cloud. You must have proficiency in AWS Cloud Services. It is desirable to have some exposure to other cloud services like MS Azure or Google Cloud Platform. Development and enhancement of machine learning and statistical models. Required Experience, Skills and Qualifications: Minimum 2 years of Data Science experience is mandatory. Proficiency in working with Python, R, SQL. Experience with both Machine Learning and Deep Learning algorithms. must have some experience working with Scikit Learn, TensorFlow, Keras, OpenCV and NLTK libraries in Python. Liaise with members of the team. Must be flexible to work on different projects across a range of industries such as retail, banking, insurance and travel. Strong mathematical and statistical skills and understanding, not only how but why. Proven ability to lead a project from inception to end deployment stage. Perks and Benefits: Salary will be discussed according to the current CTC.

Who We Are Simpplr is the AI-powered platform that unifies the digital workplace – bringing together engagement, enablement, and services to transform the employee experience. It streamlines communication, simplifies interactions, automates workflows, and elevates the everyday experience of work. The platform is intuitive, highly extensible, and built to integrate seamlessly with your existing technology. More than 1,000 leading organizations – including AAA, the NHS, Penske, and Moderna – trust Simpplr to foster a more aligned and productive workforce. Headquartered in Silicon Valley with global offices, Simpplr is backed by Norwest Ventures, Sapphire Ventures, Salesforce Ventures, and Tola Capital. Learn more at simpplr.com. About the Role Join our forward-thinking team as a Data Scientist, where you will address real-world challenges through the lens of AI innovation, specifically focusing on Enterprise Search, Personalization, Content Recommendation, and pioneering work with custom LLM fine-tuning. Work in an environment that fosters collaboration among highly skilled professionals to build next-generation products that significantly impact our clients' operational effectiveness. Key Responsibilities Innovate and develop scalable solutions leveraging AI technologies to process and analyze vast amounts of data efficiently. Quickly prototype, test, and deploy effective AI solutions, managing project timelines and deliverables while incorporating the latest advancements in AI research. Engage with cross-disciplinary teams to identify and implement AI-driven enhancements for user experiences, leading the charge from ideation to deployment. What We’re Looking For 1-3 years of experience in crafting and implementing AI models, with a particular interest in applications within Enterprise Search and Content Personalization. Solid grounding in AI technologies, with proficiency in Python and familiarity with AI development frameworks. Interest or experience in ML-Ops, emphasizing the journey from concept to production scalability of ML models. Openness to candidates with a robust background in backend development who have delved into AI, especially those who have engaged in Enterprise Search, Developing learning to rank models, Agentic Workflows and LLM fine-tuning. Knowledge in developing analytical applications and working with cloud platforms, capable of managing large data sets and complex AI models. Technical skill sets Strong coding skills Understanding basics of Machine Learning, Deep Learning, and Natural Language Processing algorithms Experience in working with data annotation tools and building ML evaluation pipelines Comfort with working in multiple tech stacks Experience in API Development, Docker and AWS Services Education - Bachelor's degree from a Tier-1 college (IITs, NITs, BITS, or equivalent preferred). Nice to have: Experience in ML research, focusing on LLMs, Information Retrieval Systems, Reinforcement Learning, Knowledge Graphs, Agentic Workflows, Retrieval-Augmented Generation (RAG), Recommender Systems, Scaling, Monitoring, and Deploying LLMs Our Ideal Candidate We are in search of individuals who are not merely experienced but deeply passionate about unearthing new challenges and inquiries in the realm of AI. We value creativity, positivity, work ethic and the pursuit of answering intricate questions with methodical accuracy. Multiple positions at different seniority levels are available. Simpplr’s Hub-Hybrid-Remote Model: At Simpplr we believe that when work is good, life is better and that belief guides all we do. Including how we approach our flexible work model. Simpplr operates with a Hub-Hybrid-Remote model. This model is role-based with exceptions and provides employees with the flexibility that many have told us they want. Hub - 100% work from Simpplr office. Role requires Simpplifier to be in the office full-time. Hybrid - Hybrid work from home and office. Role dictates the ability to work from home, plus benefit from in-person collaboration on a regular basis. Remote - 100% remote. Role can be done anywhere within your country of hire, as long as the requirements of the role are met.

Organization: At CommBank, we never lose sight of the role we play in other people’s financial wellbeing. Our focus is to help people and businesses move forward to progress. To make the right financial decisions and achieve their dreams, targets, and aspirations. Regardless of where you work within our organisation, your initiative, talent, ideas, and energy all contribute to the impact that we can make with our work. Together we can achieve great things. Job Title: Data Scientist Location : Bangalore Business & Team: RBS Decision Science Impact & contribution: The Data Scientist will use technical knowledge and understanding of business domain to own and deliver moderate or highly complex data science projects independently or with minimal guidance. You also will engage and collaborate with business stakeholders to clearly articulate findings to solve business problems. Roles & Responsibilities: Lead data-driven initiatives, from problem formulation to model deployment, leveraging advanced statistical techniques and machine learning algorithms. Drive the development and implementation of scalable data solutions, ensuring accuracy and reliability of predictive models. Collaborate with business stakeholders to define project goals, prioritize tasks, and deliver actionable insights. Design and execute experiments to evaluate model performance and optimize algorithms for maximum efficiency. Develop and deploy production-grade machine learning models in cloud-based and on-prem platforms. Lead cross-functional teams in the design and execution of data science projects, ensuring alignment with business objectives. Stay abreast of emerging technologies and industry trends, continuously enhancing expertise in data science methodologies and tools. Drive innovation by exploring new approaches and techniques for solving complex business problems through data analysis and modelling. Mentor junior team members, providing guidance on best practices and technical skills development. Strongly support the adoption of data science across the organization. Identify problems in the products, services and operations of the bank and solve those with innovative research driven solutions. Essential Skills: Strong hands-on programming experience in Python (mandatory), R, SQL, Hive and Spark. 5+ years of experience in above skills Ability to write well designed, modular and optimized code. Knowledge of H2O.ai, GitHub, Big Data and ML Engineering. Knowledge of Snowflake, AWS, Azure etc. Knowledge of commonly used data structures and algorithms. Solid foundation of Statistics and core ML algorithms at a mathematical (under the hood) level. Must have been part of projects building and deploying predictive models in production (financial services domain preferred) involving large and complex data sets. Experience in Data Science in Pricing, Credit Risk, Marketing, Campaign Analytics, Ecommerce Retail or banking products for retail or business banking is preferred. Good to have: Knowledge of Time Series, NLP and Deep Learning and Generative AI is preferred. Good to have: Knowledge and hands-on experience in developing solutions with Large Language Models. Good to have: familiarity with agentic coding such as Roo code and Cline Built and deployed large scale software applications. Understanding of principles of software engineering and cloud computing. Strong problem solving and critical thinking skills. Curious, fast learning capability and team player attitude is a must. Ability to communicate clearly and effectively. Demonstrated expertise through blogposts, research, participation in competitions, speaking opportunities, patents and paper publications. Most importantly - ability to identify and translate theories into real applications to solve practical problems. Education Qualifications: Bachelor’s degree in Engineering Or Master’s degree Or Ph.D. in Data Science/ Machine Learning/ Computer Science/ Computational Linguistics/ Statistics/ Mathematics/Engineering. If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through Sidekick to submit a valid application. We’re keen to support you with the next step in your career. We're aware of some accessibility issues on this site, particularly for screen reader users. We want to make finding your dream job as easy as possible, so if you require additional support please contact HR Direct on 1800 989 696. Advertising End Date: 02/07/2025

The Senior Software Engineer will work on a Balanced Product Team and collaborate with the Product Manager, Product Designer, and other Software Engineers to deliver analytic solutions. The Software Engineer will be responsible for the development and ongoing support/maintenance of the analytic solutions. Product And Requirements Management: Participate in and/or lead the development of requirements, features, user stories, use cases, and test cases. Participate in stand-up operations meetings. Author: Process and Design Documents Design/Develop/Test/Deploy: Work with the Business Customer, Product Owner, Architects, Product Designer, Software Engineers, and Security Controls Champion on solution design, development, and deployment. Operations: Generate Metrics, Perform User Access Authorization, Perform Password Maintenance, and Build Deployment Pipelines. Incident, Problem, And Change/Service Requests: Participate and/or lead incident, problem, change and service request-related activities. Includes root cause analysis (RCA). Includes proactive problem management/defect prevention activities. 5+ years experience in Software Engineering. Bachelor’s degree in computer science, computer engineering or a combination of education and equivalent experience. 2+ year experience with developing for and deploying to GCP cloud platforms Highly effective in working with other technical experts, Product Managers, UI/UX Designers and business stakeholders Delivered products that include web front-end development; JavaScript, CSS, frameworks like Angular, etc. Comfortable with Continuous Integration/Continuous Delivery tools and pipelines e.g. Tekton, Terraform Jenkins, Cloud Build, etc. Experience with machine learning, mathematical modeling, and data analysis is a plus Experience with CA Agile Central (Rally), backlogs, iterations, user stories, or similar Agile Tools Experience in the development of microservices Understanding of fundamental data modeling Strong analytical and problem-solving skills Willingness to collaborate daily with team members. A strong curiosity around how to best use technology to amaze and delight our customers Experience in development in at least some from each following categories And Apply: Languages: Java / Kotlin / JS / TS / Python / Other Frontend frameworks: Angular / React / Vue / Other Backend frameworks: Spring / Node / Other Proven experience understanding, practicing, and advocating for software engineering disciplines from eXtreme Programming (XP), Clean Code, Software Craftmanship, and Lean including: Paired / Extreme programming Test-first/Test Driven Development (TDD) Evolutionary design Minimum Viable Product FOSSA, SofarQube,42Crunch, etc.,

Design, develop, and deliver training programs on data science tools, techniques, and methodologies. SQL, Python, Excel, Power BI, and/or Tableau. Mentor and support learners.

About Company Our client is a trusted global innovator of IT and business services. We help clients transform through consulting, industry solutions, business process services, digital & IT modernization and managed services. Our client enables them, as well as society, to move confidently into the digital future. We are committed to our clients’ long-term success and combine global reach with local client attention to serve them in over 50 countries around the globe Job Title: Senior Data Scientist - AI Location: Bangalore Experience: 8 to 12 yrs Job Type : Contract to hire Notice Period:- Immediate joiner Description: POSITION OVERVIEW : ITSS-Data Scientist Good candidates would have 2-4 Years of experience in AI related skills (and 7+ overall exp.) • Developing and Implementing AI Models: This includes designing and building machine learning models, selecting appropriate algorithms, and training them on large datasets. • Data Analysis and Preparation: AI engineers need to analyze data, identify patterns, and prepare it for use in AI models. • Collaborating with Cross-Functional Teams: Working with data scientists, software engineers, product managers, and stakeholders to ensure AI solutions meet business needs. • Productionizing AI Models: Deploying AI models into production environments, ensuring they are scalable and reliable. • Monitoring and Maintaining AI Systems: Continuously monitoring the performance of AI models, making adjustments as needed, and ensuring they remain up-to-date. • Building and Maintaining AI Infrastructure:This includes creating and managing the infrastructure needed to support AI development and deployment. Skills: • Strong Programming Skills: Proficiency in languages like Python, Java, or R. • Machine Learning Expertise: Knowledge of various machine learning algorithms and frameworks, such as TensorFlow or PyTorch. • Data Analysis Skills: Proficiency in analyzing and interpreting data to identify patterns and insights. • Software Engineering Principles: Understanding of software development best practices, including design patterns and coding standards. • Communication and Collaboration Skills: Ability to effectively communicate technical concepts to both technical and non-technical audiences. • Problem-Solving Skills: Ability to identify and solve complex technical problems. Qualifications Bachelor's degree in Computer Science (or related field) Show more Show less

📍 Location: Remote 💼 Type: Internship (Unpaid) 🕒 Duration: Flexible (Learn at your own pace!) 📅 Application Deadline: 7th June 2025 📊 About TechNest Intern TechNest Intern , we are committed to helping learners move beyond theory by providing a practical, remote-first internship experience in the field of Data Science . This program is specially designed for students and freshers looking to apply their analytical skills on real datasets , develop ML models , and understand how data powers smart decisions in today’s world. 🚀 💼 Role: Data Science Intern Curious about the patterns behind the numbers? Want to work with data that drives real impact? This role is perfect for aspiring data scientists who want to get hands-on with data cleaning, analysis, machine learning, and storytelling. You’ll work on mini-projects, gain mentorship, and explore tools like Python, Pandas, and scikit-learn, while also improving your data visualization and communication skills. 📌 Key Responsibilities 📊 Collect, clean, and explore real-world datasets 📈 Perform Exploratory Data Analysis (EDA) to find trends and insights 🤖 Build basic Machine Learning models using libraries like scikit-learn 📚 Work with tools like NumPy, Pandas, Matplotlib, Seaborn, Jupyter 🧠 Understand feature engineering, model evaluation, and tuning 🗂️ Present insights through charts, notebooks, or dashboards 🔍 Learn and apply statistical thinking to solve problems 👥 Who Should Apply? 🎓 Students or recent graduates with interest in Data Science / Analytics 💡 Individuals familiar with Python and basic statistics 📉 Learners who enjoy working with numbers and uncovering patterns 🧠 Problem-solvers looking to turn data into meaningful stories 🚀 Beginners who want to build a portfolio-ready data project 🎁 Perks & Learning Outcomes 📜 Official Offer Letter & Certificate of Completion 🌍 Remote & Flexible Schedule — no fixed hours, learn your way 💻 Project-Based Learning — build a strong data science portfolio 🧠 Learn tools like Pandas, NumPy, Matplotlib, Seaborn, scikit-learn, Power BI 📊 Get mentorship in EDA, Machine Learning, and Data Storytelling 🏆 ✨ New! "Intern of the Week Certificate" — awarded weekly to interns showing outstanding effort, innovation, and growth 🎯 Gain exposure to how real-world data challenges are tackled in tech and business 🚀 How to Apply 📩 Ready to dive into data and level up your skills? Submit your application and start your journey to becoming a data-driven decision maker ! Show more Show less