4299 Data Science Jobs - Page 15

Role & responsibilities Minimum 5 years of experience in designing and developing AI/ML models and/or various optimization algorithms. 10- 15 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

:Our client is Global IT Service & Consulting Organization Data Science Engineer Exp:5 -11 years Primary Skills: Data Science, Python, Machine Learning Mandatory Skills:Deep Learning/NLP, Computer Vision, Gen AI/LLM, Cloud (AWS / Azure / GCP) Core Skills:Python, NLP, LLMs, Data Science Must-Have:Experience with LLM-based Gen AI applications, prompt engineering, Langchain and/or Llama-index Nice-to-Have: BERTopic/Topic Modelling, HuggingFace, Responsible AI concepts Location- Pune Notice period: Immediate to 60 days F2F interview on 19th July ,Saturday in Pune location

Dont miss this opportunity to be part of the world-class 24*7 Global Solution Control and Command Center (GSCCC) coming up at Gurgaon, India- to transform the UOP LST Connected Solutions. It is a time to put your Technical Analytical Data Science, Machine learning, and business knowledge skills to extract technical insights from Customers live operating data. The work done in assembling and developing technical insights will help define the UOP Customer Experience and be the next critical milestone for your career. You will be an integrated network of technical professionals working together to provide outstanding technical insights. Customer Value is the GSCs key result to ensure we generate relevant insights from the extracted data for improved outcomes. Basic Candidate Qualification: BS degree in Chemical Engineering Additional Candidate Qualifications: Experience in design/operation of UOP Technology unit is essential in at least one of the technologies (Naphtha / Aromatics / Oleflex / PSA / Merox / Gas Processing/Hydroprocessing). Effective presentation, and communication skills Effective written and verbal skill to communicate UOP recommendations to the customer Passion for visualizing hidden relationships in technical data with ProSight Excellent verbal, written, interpersonal communication & effective presentation skills English language (oral and written) Ability to multi-task Be flexible to come in a shift as a replacement on short notice Continuous learning and research-oriented mindset. Ability to think out of the box: Ability to come up with bright ideas and always look at the next big thing in technology. Have strong analytical skills; be able to interpret data, identify trends, and make suggestions for improvements Basic Candidate Qualification: BS degree in Chemical Engineering Additional Candidate Qualifications: Experience in design/operation of UOP Technology unit is essential in at least one of the technologies (Naphtha / Aromatics / Oleflex / PSA / Merox / Gas Processing/Hydroprocessing). Effective presentation, and communication skills Effective written and verbal skill to communicate UOP recommendations to the customer Passion for visualizing hidden relationships in technical data with ProSight Excellent verbal, written, interpersonal communication & effective presentation skills English language (oral and written) Ability to multi-task Be flexible to come in a shift as a replacement on short notice Continuous learning and research-oriented mindset. Ability to think out of the box: Ability to come up with bright ideas and always look at the next big thing in technology. Have strong analytical skills; be able to interpret data, identify trends, and make suggestions for improvements Be agile, innovative, and customer focused. Review operations with customers and assist with defining and quantifying customer benefits Monitoring different UOP technologies processes and identifying areas for improvement/optimization and assets requiring enhanced focus. Provide readily available technical solutions/ work to get the solution to our customers. Initial triage of technical issues with the escalation process to TS. Proactively communicate insights from trends, establish patterns, diagnostic investigations, and solutions to prevent future issues. Ensure monitoring of all solutions by troubleshooting the PM / PTA / PRA / POA / Benchmarking / EBA`s /Data Science /Future Solutions on time to ensure high on-screen availability of the running solutions Apply data mining to handle unstructured data to derive technical insights. Perform descriptive and inferential statistics to summarize datasets. Derive problem statement from ambiguous data, create a hypothesis, use analytics technology and tools to test hypothesis and form conclusions Analysis of large amounts of historical data, determining suitability for modeling, data clean-up and filtering, pattern identification, and variable creation, applying automated predictive analytics. The focus is to support products, systems, and solutions through designing and developing pipelines. Work with the team to innovate - next-generation BIG DATA monitoring tools (Analytics using exception-based /Artificial Intelligence/Machine Learning) and build an operation dashboard for the GSCs sustainability & efficient operation. Align with the Intention of the LST Business and ensure collective commitment to the GSCs Key results. Part of 24* 7 Operation of GSCCC Digital Insight Working in a 24*7 Shift is an integral part of this role. Work with the GSCCC Operation leader closely to make GSC a Center of Excellence Be agile, innovative, and customer focused. Review operations with customers and assist with defining and quantifying customer benefits Monitoring different UOP technologies processes and identifying areas for improvement/optimization and assets requiring enhanced focus. Provide readily available technical solutions/ work to get the solution to our customers. Initial triage of technical issues with the escalation process to TS. Proactively communicate insights from trends, establish patterns, diagnostic investigations, and solutions to prevent future issues. Ensure monitoring of all solutions by troubleshooting the PM / PTA / PRA / POA / Benchmarking / EBA`s /Data Science /Future Solutions on time to ensure high on-screen availability of the running solutions Apply data mining to handle unstructured data to derive technical insights. Perform descriptive and inferential statistics to summarize datasets. Derive problem statement from ambiguous data, create a hypothesis, use analytics technology and tools to test hypothesis and form conclusions Analysis of large amounts of historical data, determining suitability for modeling, data clean-up and filtering, pattern identification, and variable creation, applying automated predictive analytics. The focus is to support products, systems, and solutions through designing and developing pipelines. Work with the team to innovate - next-generation BIG DATA monitoring tools (Analytics using exception-based /Artificial Intelligence/Machine Learning) and build an operation dashboard for the GSCs sustainability & efficient operation. Align with the Intention of the LST Business and ensure collective commitment to the GSCs Key results. Part of 24* 7 Operation of GSCCC Digital Insight Working in a 24*7 Shift is an integral part of this role. Work with the GSCCC Operation leader closely to make GSC a Center of Excellence

Responsibilities: * Develop generative AI models using machine learning techniques. * Optimize data pipelines with LangChain. * Collaborate cross-functionally on project delivery. Health insurance Annual bonus Provident fund

About the job Position: Assistant Manager/Manager Credit Risk What will your day look like - Leading a dynamic team to deliver high impact risk solutions across credit risk (underwriting, exposure controls and line management).- Work with stakeholders across product management, data science, and engineering to build relationship with the partner teams and drive implementation of risk strategies- Manage challenging time constraints to ensure on-time delivery of projects.- Work closely with partner teams in identifying, evaluating, and recommending new data that helps in risk differentiation.- Analyze loss trends and simulate risk decisioning strategies that help optimize revenue, approval rates etc.- Work closely with data science team and recommends credit risk decisioning and model deployment strategy.- Build a risk scorecard that leverages both internal performance data and external performance data that will be leveraged for credit decisioning at both underwriting and account management reviews for existing customers.- Collates analysis and builds presentations that helps articulate the risk strategy for the leadership team. To Help Us Level Up, You Will Ideally Have : - Quantitative background in engineering, statistics, math, economics, business, or related disciplines.- 5+ years experience in analyzing data and using database query language (e. SQL) analysis and programming and developer tools such as Python, R, data bricks in a finance or analytics field.- 2+ years of experience in leading high performing team of analysts.- Experience in working with non-traditional data such as social media will be a big plus.- Prior model building experience is a plus but not critical.- Possesses an analytical mindset and strong problem-solving skills.- Attention to detail and ability to multitask.- Comfortable working in a fast-paced environment and dealing with ambiguity.- Possesses strong communication, interpersonal and presentation skills; and ability to engage and collaborate with multiple stakeholders across teams.- Extremely proactive communicator willing to raise flags when needed and keep team members informed of ongoing risk or fraud related activities.

About the job : We are looking for a highly skilled Senior AI/ML Engineer with 5+ years of experience to join our team. The ideal candidate should have extensive expertise in machine learning, deep learning, and AI model development, along with a strong background in Python, NLP, computer vision, and cloud-based AI solutions.Key Responsibilities : - Design, develop, and deploy AI/ML models for real-world applications. - Work with NLP, deep learning, and traditional ML algorithms to solve complex business problems. - Develop end-to-end ML pipelines, including data preprocessing, feature engineering, model training, and deployment.- Optimize model performance using hyperparameter tuning and model evaluation techniques.- Implement AI-driven solutions using TensorFlow, PyTorch, Scikit-learn, OpenAI APIs, Hugging Face, and similar frameworks.- Work with structured and unstructured data, performing data wrangling, transformation, and feature extraction.- Deploy models in cloud environments (AWS, Azure, or GCP) using SageMaker, Vertex AI, or Azure ML.- Collaborate with cross-functional teams to integrate AI models into production systems.- Ensure scalability, performance, and efficiency of AI/ML solutions.- Stay updated with emerging AI trends and technologies to drive innovation.Required Skills : - Strong experience in machine learning, deep learning, NLP, and AI model development.- Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, and OpenAI GPT models.- Expertise in NLP techniques (Word2Vec, BERT, transformers, LLMs, text classification).- Hands-on experience with computer vision (CNNs, OpenCV, YOLO, custom object detection models).- Solid understanding of ML model deployment and MLOps (Docker, Kubernetes, CI/CD for ML models).- Experience in working with cloud platforms (AWS, Azure, GCP) for AI/ML model deployment.- Strong knowledge of SQL, NoSQL databases, and big data processing tools (PySpark, Databricks, Hadoop, Kafka, etc.-Familiarity with API development using Django, Flask, or FastAPI for AI solutions.- Strong problem-solving, analytical, and communication skills. Preferred Skills : - Experience with AI-powered chatbots and OpenAI API integration.- Exposure to LLMs (GPT, LLaMA, Falcon, etc.) for real-world applications.- Hands-on experience in generative AI models.

About the role The Data Intelligence Center of Excellence is looking for a high-performing Senior Data Scientist to support Blackbaud customers through the creation and maintenance of intelligent data products . Additionally, the senior data scientist will collaborate with team members on research and thought leadership initiatives . What youll do Use statistical techniques to manage and analyze large volumes of complex data to generate compelling insights to include predictive modeling, storytelling, and data visualization I ntegrate data from multiple sources to create dashboards and other end-user reports Interact with internal customers to identify and define topics for research and experimentation Contribute to white papers, presentations, and conferences as needed C ommunicate insights and findings from analys e s to product, service, and business managers Work with data science team to automate and streamline modeling processes Manage standard tables and programs within the data science infrastructure , providing updates as needed Maintain updated documentation of products and processes Participate in team planning and backlog grooming for data science roadmap What you'll bring We are seeking a Data Scientist with 5+ years of hands-on experience demonstrating strong proficiency in the following areas 2 + years of machine learning and /or statistics experience 2 + years of experience with data analysis in Python, R, SQL, Spark, or similar Comfortable asking questions and performing in-depth research when given vague or incomplete specifications Confidence to learn product functionality on own initiative via back-end research, online training resources, product manuals, and developer forums Experience with Databricks, Databricks SQL Analytics is a plus Stay up to date on everything Blackbaud, follow us on Linkedin, X, Instagram, Facebook and YouTube Blackbaud is proud to be an equal opportunity employer and is committed to maintaining an inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, or veteran status or any other basis protected by federal, state, or local law.

Join us as a Data Scientist You ll be identifying and working with data sets to solve difficult, non-routine analysis problems, applying advanced analytical methods as needed We ll look to you to act as a role model and lead the data community to identify and deliver opportunities to support the bank s strategic direction through better use of data This is an opportunity to achieve excellent exposure in a challenging role and to make a real impact with your work We are offering this role at director level What youll do As a Data Scientist, you ll be evaluating and improving business processes and products using scientific rigour and statistical methods. You ll be supporting and collaborating with multidisciplinary teams on a wide range of business problems, including the prevention of financial crime, understanding customer interactions with the bank and the management of credit risk. You ll also be: Developing comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development Communicating effectively across the functions and franchises to make business recommendations, influencing and gaining business buy-in Conducting analysis that includes data gathering and requirements specification in collaboration with business stakeholders Iteratively building and prototyping data analysis pipelines to provide insights that will ultimately lead to production deployment Identifying new methods, tools, techniques and opportunities to deliver business value via cost reduction, income generation or improved customer experience through the application of data science The skills youll need To succeed in this role, you ll need evidence of previous project implementation and work experience gained in data analysis related field as part of a multidisciplinary team. Additionally, you ll hold a degree in a quantitative discipline or have evidence of equivalent practical experience. You ll also demonstrate: Expertise in data science, analytics, and machine learning Proven proficiency in Python and relevant libraries such as Pandas, NumPy, Scikit-learn coupled with experience in data visualisation tools. Knowledge of AWS Sagemaker is preferred Effective written and verbal communication skills and the ability to adapt the communication style to a specific audience Extensive relevant work experience, including expertise with statistical data analysis such as linear models, multivariate analysis, stochastic models and sampling methods Hours 45 Job Posting Closing Date: 27/07/2025

Real is a fast-growing national real estate brokerage powered by technology. Real is currently operating in all U.S. states, Canada, and the District of Columbia. Founded in 2014, Real is a trailblazer in the Residential Real Estate industry, as we lead the disruption with our cutting-edge technology platform. We are on a mission to revolutionize the home-buying and selling process, making agents lives better while creating lucrative financial opportunities for them. Work Schedule: 3:30 PM TO 12:30AM IST Location: Remote - India. Availability: Must be able to join within 45 days of offer. Job Summary: We are seeking a skilled and motivated AI Product Associate to join our research and development team at Real. This role will involve improving the system s accuracy, efficiency, and overall user experience by managing data sources, analyzing user queries, and collaborating with cross-functional teams. You will directly contribute to a groundbreaking product that helps real estate brokers and agents save time, reduce errors, and deliver better service to their clients. Duties/Responsibilities Enhance Knowledge Sources: Regularly manage and update the documentation and data sources that drive the AI assistant s responses, ensuring they are accurate, relevant, and up-to-date. Analyze and Improve: Identify patterns and trends in user queries and support tickets to detect areas where the system falls short and implement solutions to improve AI performance. Collaborate on Solutions: Work closely with engineers, product managers, and QA teams to test, deploy, and validate updates, ensuring the system meets user expectations. Monitor and Refine: Continuously monitor the AI assistant s performance and fine-tune the RAG (retrieval-augmented generation) pipeline configuration to optimize the assistant s responsiveness and accuracy. Troubleshooting and Quality Assurance: Conduct in-depth troubleshooting to address issues related to AI performance and user interactions, ensuring the assistant delivers a seamless experience. Required Skills/Abilities: Strong analytical skills with the ability to identify trends and patterns in user behavior and system performance. Detail-oriented mindset with a focus on troubleshooting and quality assurance. Familiarity with SQL, Python, and Postman is highly preferred but not required. Basic knowledge of AI technologies and natural language processing (NLP) is a plus. Strong problem-solving abilities and proactive approach to system optimization. Ability to work collaboratively across engineering, product, and support teams. Passion for technology and an interest in shaping its application in the real estate industry. Education and Experience: Bachelors degree in Computer Science, Data Science, Engineering, or a related field, or equivalent experience. Experience working with data management, system optimization, or AI-related tools is a plus. Previous experience in troubleshooting or supporting AI systems or software products is a plus. Must-Have: Ability to truly encompass our Company Core Values Work Hard. Be Kind We are bigger than me Tech x Humanity Physical Requirements: Sit for long periods of time Real is proud to be an equal opportunity workplace employer. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. #LI-SP1

ABOUT NEWTON SCHOOL : Come be part of a rocketship that s creating a massive impact on the world of technology. On one side you have over a million college graduates every year with barely 5% employability rates and on the other side, there are 1000s of companies struggling to find talent. Newton School aims to bridge this massive gap through its personalized learning platform. We are building an online university and solving the deep problem of employability of graduates. We have a strong core team consisting of alumni from IITs and IIM s, having several years of industry experience in companies like Unacademy, Inmobi among others. On this mission, we are backed by some of the most respected investors around the world, - RTP Global, Nexus Venture Partners and a slew of angel investors including CRED s Kunal Shah, Flipkart s Kalyan Krishnamoorthy, Unacademy founders, Udaan s Sujeet Kumar among others. ROLE: Newton School is looking for an extremely Enthusiastic pedagogy oriented, process driven leader to make the overall academic experience for all Newton School students from great to awesome! MOST DESIRED SKILLS : Must have handled large teams across multiple functions and executed processes over the years. Has a really good fundamental understanding of the tech world, tech systems and coding essentials. Hands-on working experience on either of the tech stack - React, DevOps, Java, Data Science, Machine Learning etc. At least 2 years of teaching experience in either any online education platform or in any recognised university of institute Have really great inter-personal skills and can communicate thoroughly with confidence across multiple teams Business Oriented mindset along with Students empathy driven attitude Take Responsibility of overall tech content creation team and their processes Handle and prioritise blockers regarding content creation and generation KEY RESPONSIBILITIES : Work with multiple teams across functionality and work as academic counsellor to best achieve students pedagogical intent Create awesome teaching experience from fundamentals to practical oriented to finally outcome oriented education across a variety of students and variety of courses. Setup processes and Implement new ideas on generating and consuming technical content required for all the stakeholders (Students, Instructors, Mentors and Teaching Assistance) Bonus Points : Worked at similar positions in other ed-techs or universities before. Has very keen revolutionary attitude about teaching methodology as a whole Our Way Of Working : An opportunity to work on something that really matters. A fast-paced environment to learn and grow. High transparency in decision making. High autonomy; freedom to take risks, to experiment, and to fail. Market Competitive salary We promise a meaningful journey with smart people, with opportunities to learn & grow. Plus, you can sleep peacefully knowing you are impacting lives in a big way, every day! ABOUT NEWTON SCHOOL : Come be part of a rocketship that s creating a massive impact on the world of technology. ...

KPMG India is looking for Assistant Manager - Data Science to join our dynamic team and embark on a rewarding career journey. This position involves providing guidance, leadership, and assistance in delivering data - driven solutions to clients, helping them solve complex business challenges. Key Responsibilities : Project Leadership : Lead and oversee data science and analytics projects, from project initiation to delivery, ensuring they are completed on time and within budget. Collaborate with the advisory team to define project objectives, scope, and deliverables. Data Analysis and Modeling : Perform advanced data analysis and modeling to extract insights and patterns from complex datasets. Develop and implement statistical and machine learning models to solve business problems. Client Engagement : Act as a key point of contact for clients, understanding their needs and translating them into data science solutions. Build and maintain client relationships by providing high - quality advisory services. Team Management : Supervise and mentor junior data scientists, analysts, and consultants. Assign tasks, provide guidance, and support professional development within the team. Solution Design : Work with clients and the team to design data science solutions that address specific business challenges. Identify and recommend appropriate technologies and methodologies. Data Visualization : Create compelling data visualizations and reports to communicate findings and insights effectively to clients. Use tools like Tableau, Power BI, or custom dashboards for data presentation. Quality Assurance : Ensure the accuracy, reliability, and quality of data science projects by conducting thorough quality checks and reviews. Research and Innovation : Stay up - to - date with the latest data science and analytics trends, tools, and techniques. Drive innovation within the team and explore new methods for solving business problems.

Senior Developer/ Lead - Data Science Material+ is hiring for Lead Data Science, We are looking for Senior Developer/ Lead - Data Scientist with strong Generative AI experience, skilled in Python, TensorFlow/PyTorch/Scikit learn, Azure OpenAI GPT, and multi-agent frameworks like LangChain or AutoGen, with strong data preprocessing, feature engineering, and model evaluation expertise. Bonus : familiarity with Big Data tools (Spark, Hadoop, Databricks, SQL/NoSQL) and ReactJS Immediate Joiner Required Minimum Experience: 4+ years in Senior Developer/ Lead - Data Scientist Preferred Location: - Gurgaon/ Bangalore Job Description: - Generative AI: GenAI models (Eg.: Azure OpenAI GPT), Multi-Agent System Architecture: Proficiency in Python and AI/ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Experience with LangChain , AutoGen , or similar frameworks for multi-agent systems. Strong knowledge of Data Science techniques, including data preprocessing, feature engineering, and model evaluation. Nice to have: Familiarity with Big Data tools (e.g., Spark, Hadoop) / Databricks and databases (e.g., SQL, NoSQL). Expertise in ReactJS for building responsive and interactive user interfaces. What We Offer Professional Development and Mentorship. Hybrid work mode with remote friendly workplace. (6 times in a row Great Place To Work Certified). Health and Family Insurance. 40+ Leaves per year along with maternity & paternity leaves. Wellness, meditation and Counselling sessions

Roles & Responsibilities 1. Primarily, added to the re-implementation projects to handle the configuration, testing and validation phases. 2. Own the tasks for configuration of plans, reports, workflows, etc. 3. Execute those tasks on a timely manner based on the solution design shared with them by the project owner. 4. Will be part of weekly sprints and the tasks will be prioritised based on project commitments. 5. Should capture the efforts spent for each task and submit timesheets for each week. Qualification 1. Freshers with an educational background of computer technology / information technology. 2. B.Sc/BCA/MCA/M.Sc Graduates related to Computer Technology / Information Technology / Computer engineering / Data science / Data analytics. 3. Excellent math and analytical skills. 4. Excellent written & verbal communication skills. 5. Good knowledge of spreadsheets (Excel / GSheets). 6. Knowledge of agile project management is a plus.

Summary:Join Skima, a leading innovator in the AI industry, as an AI Engineer based in the vibrant city of Bangalore We are seeking a talented individual with 3 years of experience in artificial intelligence and machine learning to contribute to our cutting-edge projects As an AI Engineer at Skima, you will be at the forefront of developing and implementing advanced AI solutions that drive our business forward You will collaborate with a dynamic team of experts to design, build, and optimize AI models and algorithms that solve complex problems and enhance our product offerings Your role will involve working closely with cross-functional teams to integrate AI technologies into various applications, ensuring scalability and efficiency The ideal candidate will have a strong background in AI, machine learning, and data science, with proficiency in programming languages such as Python and experience with frameworks like TensorFlow or PyTorch At Skima, we value innovation, creativity, and a passion for technology This in-office position offers an exciting opportunity to work in a fast-paced environment where your contributions will have a significant impact If you are ready to take your AI expertise to the next level and be part of a forward-thinking company, we invite you to apply and join our team in Bangalore Responsibilities Develop and implement advanced AI solutions to drive business objectives Collaborate with a dynamic team of experts to design, build, and optimize AI models and algorithms Solve complex problems and enhance product offerings through AI technologies Work closely with cross-functional teams to integrate AI technologies into various applications Ensure scalability and efficiency of AI solutions Requirements Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field 3 years of experience in artificial intelligence and machine learning Strong background in AI, machine learning, and data science Proficiency in programming languages such as Python Experience with AI frameworks like TensorFlow or PyTorch

Since June 2021, frog is part of Capgemini Invent . frog partners with customer-centric enterprises to drive sustainable growth, by building and orchestrating experiences at scale, while harnessing the power of data and technology. Were inventing the future of customer experiences by delivering market-defining business models, products, services, brand engagements and communications. Joining frog means youll be joining the pond, a global network of studios, each with a thriving in-person and vibrant virtual culture. frogs are curious, collaborative, and courageous, united by our passion for improving the human experience across our areas of expertise, while each bringing our unique and diverse skills and experiences to the table. We draw on our global reach and local knowledge to solve complex problems and create innovative, sustainable solutions that touch hearts and move markets. frogs prize humour, positivity, and community just as highly as performance and outcomes. Our culture is open, flexible, inclusive, and engaging. Working at frog means being empowered to meet the moment, and Make Your Mark on every project, in your studio, your community and the world at large. Client Engagement & Advisory: Partner with clients to understand their business goals, CX challenges, and data needs. Provide strategic recommendations on how to leverage data to enhance customer engagement, satisfaction, and retention. Data Strategy Development: Design comprehensive data strategies tailored to client objectives, including customer segmentation, predictive modelling, and personalization. Define KPIs and metrics to measure the success of CX initiatives. Data Analysis & Insights: Analyze structured and unstructured data to derive actionable insights. Leverage advanced analytics techniques, including machine learning and AI, to identify trends and opportunities. Solution Design & Implementation: Collaborate with technical teams to design and implement data platforms, dashboards, and analytics solutions. Drive the implementation of customer data platforms (CDPs), marketing automation tools, and analytics systems. Stakeholder Management: Act as a trusted advisor to business stakeholders. Present findings, recommendations, and reports in a clear, compelling manner Your Profile 8-10 years of experience in data analytics, data strategy, or consulting roles, with a focus on customer experience, marketing, or business transformation. Minimum of 5-8 years of experience in omni-channel marketing, data analytics, or marketing automation implementation, with at least 2 years in a consulting role. 3+ years of experience in marketing orchestration, preferably with hands-on experience using marketing automation platforms (e.g., Salesforce Marketing Cloud, Adobe Campaign, Braze, Marketo, etc.) and leveraging customer data for personalized, cross-channel campaigns. Bachelors degree in data science, Business Analytics, Computer Science, Marketing, or related fields. Masters degree preferable. Technical Skills: Proficiency in analytics tools (e.g., Python, R, SQL). Familiarity with visualization tools (e.g., Tableau, Power BI). Experience implementing CDP tools (Salesforce CDP, Adobe CDP, Segment etc) Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) is a plus. Data Analytics Data modelling Digital Marketing Digital Technology Consulting Data-Driven Marketing Proven track record of contributing to client engagements and delivering data-driven solutions. Strong communication, problem-solving, and interpersonal skills. Equal Opportunities at frog Frog and Capgemini Invent are Equal Opportunity Employers encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status, or any other characteristic protected by law.

Capgemini Invent Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build whats next for their businesses. Your role Understand client business requirement and provide suitable approach to solve the business problem in different domains. Develop strategies to solve problems in logical yet creative ways Helping & Managing teams of data scientist and produce project deliverables Processing, cleansing and verifying the integrity of data used for analysis. Data mining and performing EDAs using state-of-the-art methods. Selecting features, building and optimizing classifiers / regressors, etc. using machine learning & deep learning techniques. Help enhance data collection procedures to include information that is relevant for building analytical systems Doing ad-hoc analysis and presenting results in a clear manner. Follow and help improve with Analytics-Delivery procedures using detailed documentations. Create custom reports and presentations accompanied by strong data visualization and storytelling Present analytical conclusions to senior officials in a company and other stakeholders Your Profile Education Engineering graduates (B.E/ B.Tech)/ Other Graduates (Mathematics/ Statistics/ Operational Research/ Computer Science & Applications). Minimum 4 years relevant experience Experience in data management and visualization task Experience with common data science toolkits, such as NumPy, Pandas, StatModel, Scikit learn, SciPy, NLTK, Spacy, Gensim, OpenCV, MLFlow, Tensorflow, Pytorch etc. Excellent understanding / hand-on experience in NLP and computer vision. Good understanding / hand-on experience on building Deep-learning models for text & image analytics (such as ANNs, CNNs, LSTM, Transfer Learning, Encoder and decoder, etc.). Knowledge/ Experience with common data science frameworks such as Tensorflow, Keras, PyTorch, XGBoost, H2O etc. Knowledge/ hand-on experience Exposure on large scale dataset and respective tool & framework like Hadoop, Pyspark, etc Knowledge/ hand-on experience on deployment of model in production & deployment. Hands on experience in GenAI. What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.

Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings. May create dynamic data reports. - Grade Specific Oversees the data science function within an organization and plays a crucial role in leveraging data-driven insights to drive business growth and innovation

Capgemini Invent Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build whats next for their businesses. Your Role Use Design thinking and a consultative approach to conceive cutting edge technology solutions for business problems, mining core Insights as a service model Engage with project activities across the Information lifecycle. Understanding client requirements, develop data analytics strategy and solution that meets client requirements Apply knowledge and explain the benefits to organizations adopting strategies relating to NextGen/ New age Data Capabilities Be proficient in evaluating new technologies and identifying practical business cases to develop enhanced business value and increase operating efficiency Architect large scale AI/ML products/systems impacting large scale clients across industry Own end to end solutioning and delivery of data analytics/transformation programs Mentor and inspire a team of data scientists and engineers solving AI/ML problems through R&D while pushing the state-of-the-art solution Liaise with colleagues and business leaders across Domestic & Global Regions to deliver impactful analytics projects and drive innovation at scale Assist sales team in reviewing RFPs, Tender documents, and customer requirements Developing high-quality and impactful demonstrations, proof of concept pitches, solution documents, presentations, and other pre-sales assets Have in-depth business knowledge across a breath of functional areas across sectors such as CPRD/FS/MALS/Utilities/TMT Your Profile B.E. / B.Tech. + MBA (Systems / Data / Data Science/ Analytics / Finance) with a good academic background Minimum 10 years + on Job experience in data analytics with at least 7 years ofCPRD, FS, MALS, Utilities, TMT or other relevant domain experience required Specialization in data science, data engineering or advance analytics filed is strongly recommended Excellent understanding and hand-on experience of data-science and machine learning techniques & algorithms for supervised & unsupervised problems, NLP and computer vision Good, applied statistics skills, such as distributions, statistical inference & testing, etc. Excellent understanding and hand-on experience on building Deep-learning models for text & image analytics (such as ANNs, CNNs, LSTM, Transfer Learning, Encoder and decoder, etc). Proficient in coding in common data science language & tools such as R, Python, Go, SAS, Matlab etc. At least 7 years experience deploying digital and data science solutions on large scale project is required At least 7 years experience leading / managing a data Science team is required Exposure or knowledge in cloud (AWS/GCP/Azure) and big data technologies such as Hadoop, Hive What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.

Capgemini Invent Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build whats next for their businesses. Your Role Edge AI Data Scientists will be responsible for designing, developing, and validating machine learning modelsparticularly in the domain of computer visionfor deployment on edge devices. This role involves working with data from cameras, sensors, and embedded platforms to enable real-time intelligence for applications such as object detection, activity recognition, and visual anomaly detection. The position requires close collaboration with embedded systems and AI engineers to ensure models are lightweight, efficient, and hardware-compatible. Candidate Requirements Education Bachelor"s or Masters degree in Data Science, Computer Science, or a related field. Experience 3+ years of experience in data science or machine learning with a strong focus on computer vision. Experience in developing models for edge deployment and real-time inference. Familiarity with video/image datasets and deep learning model training. Skills Proficiency in Python and libraries such as OpenCV, PyTorch, TensorFlow, and FastAI. Experience with model optimization techniques (quantization, pruning, etc.) for edge devices. Hands-on experience with deployment tools like TensorFlow Lite, ONNX, or OpenVINO. Strong understanding of computer vision techniques (e.g., object detection, segmentation, tracking). Familiarity with edge hardware platforms (e.g., NVIDIA Jetson, ARM Cortex, Google Coral). Experience in processing data from camera feeds or embedded image sensors. Strong problem-solving skills and ability to work collaboratively with cross-functional teams. Your Profile Responsibilities Develop and train computer vision models tailored for constrained edge environments. Analyze camera and sensor data to extract insights and build vision-based ML pipelines. Optimize model architecture and performance for real-time inference on edge hardware. Validate and benchmark model performance on various embedded platforms. Collaborate with embedded engineers to integrate models into real-world hardware setups. Stay up-to-date with state-of-the-art computer vision and Edge AI advancements. Document models, experiments, and deployment configurations. What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and iCa sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.

Capgemini Invent Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build whats next for their businesses. Your Role Understand the Process Mining solution offered by Celonis and its existing capabilities. Capable of building KPIs to highlight the use-case specific to processes and client requirement. Hands on experience on building Analysis dashboard & Execution App. Hands on experience in different component of Celonis like - Views, Action Flows, Skills, Knowledge Model, simulation and data explorer. Capable of identifying and building Execution Gap use cases. Should have good analytical skills. Should understand and implement client requirements. Your Profile Strong presentation and communication skills. Should be able to create custom connectors. Should know how to make API Calls. Should be able to establish an end-to-end live connectivity on premise as well as cloud and custom connectors. Should be able to write complex SQL & PQL queries. Should be able to implement Multi Event Log in custom projects. Good to have knowledge about OCPM What you will love about working here We recognize the significance of flexible work arrangements to provide support . Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.

Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications. 1. Applies scientific methods to analyse and solve software engineering problems. 2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance. 3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers. 4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities. 5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. - Grade Specific Is highly respected, experienced and trusted. Masters all phases of the software development lifecycle and applies innovation and industrialization. Shows a clear dedication and commitment to business objectives and responsibilities and to the group as a whole. Operates with no supervision in highly complex environments and takes responsibility for a substantial aspect of Capgeminis activity. Is able to manage difficult and complex situations calmly and professionally. Considers the bigger picture when making decisions and demonstrates a clear understanding of commercial and negotiating principles in less-easy situations. Focuses on developing long term partnerships with clients. Demonstrates leadership that balances business, technical and people objectives. Plays a significant part in the recruitment and development of people. Skills (competencies) Verbal Communication

Description & Requirements In this Business Analyst role, located in Hyderabad, you are responsible for Requirements management and documentation. Your work is critical for maintaining a good security and compliance posture, and to thrive you will need to be comfortable working with a close eye on the technical details. A day in the life: You will be working with management and architect/developers to create and maintain technical product requirements based on consumer input, corporate policies and technology changes. For example, a requirement to support thousands of tenants needs to be broken down into specific technical requirements, or a request for a new feature needs to be reviewed against existing requirements and policies to provide input on if the new feature can and should be accepted and built. You will have the overall responsibility for keeping the internal and external documentation up to date and in sync with both the requirements and the actual software. For example, you organize the structure of our wiki documentation to make it easy to find the correct information, and cycle through all documentation and keep it correct and up to date. We do regular check-ins with the internal product teams using our software. As the main tracker of requirements and documentation, the BA is an important participant in these calls, constantly keeping an eye on current requirements and if there is something new being discussed that needs to be reviewed and decided on as a new requirement. We do get audited from time to time, the BA is expected to be the main participant in the Grid team, already up to speed and intimately familiar with the requirements and our compliance status. Basic Qualifications: Experience and proven track record with requirements engineering and documentation. Technical background with foundational understanding of Java and Web technologies like HTTP, JWT, Oauth, mTLS, etc. (Requirements and documentation will be very technical, and you will need to be able to reason about, explain, and document and author requirements in these areas). A strong eagerness to learn, there is a vast technological landscape in Infor that s not observable from the outside. The technical background allows you to understand and incorporate it into your work. Strong technical English language skills. This position goes beyond grammar and spelling. It requires an eye for details and the ability to explain complex technical ideas with the right terms, allowing others to easily and correctly understand the information. Able to work both alone and in a close-knit team across cultures, time zones and physical distance. Preferred Qualifications: Bonus points for being able to work Swedish office hours. (The rest of the team works Swedish hours, so being able to accommodate that would bring extra value.) Familiarity with the following will be valuable in your role but can be learned as you go. Version management in Git preferred (The team keeps some documentation in Git and are planning to move most of it there eventually) Proficient in Jira (tool is heavily used by the team and used for requirements tracking). Able to work with in-code documentation.

highly skilled and experienced Design and Development Engineer with a minimum of 5 years of relevant expertise in the design and development of industrial processing equipment and solutions for the cakes, pies, cookies, biscuits, crackers, and snacks industry. Responsibilities / Tasks We are seeking a highly skilled and motivated Data Scientist to join our dynamic team. The ideal candidate will have a strong foundation in data analysis, statistical methods, and machine learning techniques. They will be responsible for transforming data into actionable insights to drive decision-making processes and improve business performance. Responsibilities Analyze large datasets to identify trends, patterns, and insights. Develop and implement machine learning models and algorithms. Collaborate with cross-functional teams to understand business requirements and provide data-driven solutions. Present findings and recommendations to stakeholders through reports and visualizations. Ensure data integrity and accuracy by performing regular data validation and cleansing. Stay updated with the latest industry trends and advancements in data science and machine learning. Your Profile / Qualifications Bachelors or Master s degree in Data Science , Statistics, Computer Science, or related field. >5 years p roven experience as a Data Scientist or in a similar role. Strong proficiency in programming languages such as Python, SQL . Experience with data visualization tools like Tableau, Power BI, or Matplotlib. Familiarity with machine learning frameworks and libraries such as TensorFlow, PyTorch , or scikit-learn. Excellent problem-solving skills and attention to detail. Strong communication skills and ability to convey complex information to non-technical stakeholders . Experience with big data technologies such as Hadoop, Spark, or cloud platform . Did we spark your interest? Then please click apply above to access our guided application process.

Role & responsibilities As an engineer at CADD Centre, your role involves conducting training sessions for both students and professionals in designated software skills. You provide guidance and support to learners to enhance their understanding and proficiency in the subject matter. Ensuring effective delivery of course content, you maintain high-quality standards in training, fostering an environment conducive to learning and skill development. Preferred candidate profile Mechanical Field: Candidates must hold a Bachelor's degree (B.E/B.Tech) or a Master's (M.E/M.Tech) or a Diploma in Mechanical, Automobile, Aviation, or Production Engineering. Proficiency in a minimum of two software applications, selected from AutoCAD, PRO-E/Creo, SolidWorks, CATIA, NX/Unigraphics, and Ansys, is required. Civil Field: A Bachelor's degree (B.E/B.Tech/B.Arch) or a Master's (M.E/M.Tech) or a Diploma in Civil, Architectural, Structural, or Interior Designing is mandatory. Competence in at least two software programs such as AutoCAD, Revit/3ds Max, Sketchup, Primavera, BIM, Staad Pro., and E-Tabs is essential. Electrical Field: Candidates should possess a Bachelor's degree (B.E/B.Tech/B.Arch) or a Master's (M.E/M.Tech) or a Diploma in Electrical Engineering. Proficiency in a minimum of two software programs such as AutoCAD, AutoCAD Electrical, Revit MEP, PLC & SCADA, ETAP, or any two IT-related software mentioned below is required. Electronics Field: A Bachelor's degree (B.E/B.Tech/B.Arch) or a Master's (M.E/M.Tech) or a Diploma in Electronics / Electronics & Communication is required. Competence in at least two software programs such as AutoCAD, OrCAD, Microcontroller or at least any two IT-related software mentioned below is necessary. IT Field: Candidates must possess a Bachelor's degree (B.E/B.Tech/BCA/B.Sc) or a Master's degree (M.E/M.Tech/MCA/M.Sc) or a Diploma in Computer Science & Related Domains. Proficiency in a minimum of two programming languages or tools, including C, C++, Python, Java, Advanced Java, Full Stack (MEAN/MERN), Data Science, Machine Learning, AI, and ML, is mandatory. Business Field: A Bachelor's degree (BBA/B.Com) or a Master's degree (M.Com/MBA) is required. Proficiency in at least two software applications such as MS-Office, Tally, and Project Management, Digital Marketing, SAP is necessary. Perks and benefits Flexible schedule Overtime pay Performance bonus Yearly Salary Revision

Course5 is looking for AI Engineer to join our dynamic team and embark on a rewarding career journeyDesigning and developing AI algorithms and models to solve specific business problems.Creating and maintaining databases for storing and processing large amounts of data.Developing and deploying machine learning and deep learning models.Implementing and integrating AI solutions with existing systems and software.Analyzing and interpreting complex data sets to extract insights and drive decision-making.Collaborating with cross-functional teams to develop and deploy AI applications.Ensuring the security and privacy of data used in AI applications.Communicating and presenting technical information to non-technical stakeholders.Excellent communication skills & attention to detail.