35 Statistics Jobs in Kochi

Game Economy Designer Location Kochi 8+ yrs of game monetisation experience, preferably in Social Casino gamesJob Category: ITJob Type: Full TimeJob Location: kochiSalary: Best in the industryYears of Experience: 8+yrsLinkedInFacebookTwitterEmailWhatsAppCopy LinkShareRole & Responsibilities: Design and develop compelling economy models for our gamesCreate and balance the in-app currencies, progression curves, reward structures, and monetization systemsUse data modeling and player segmentation to forecast behavioral trends and evaluate the impact of new featuresContinuously iterate on game economy design based on KPI analysis to enhance player satisfaction and performancePlan and design economy-driven live events and promotions (e.g., sales, challenges, time limited events)Conduct and analyze A/B tests for pricing strategies, rewards, and progression tuning to optimize the key KPIs related to monetization, engagement and retentionPrepare detailed economy specifications, balancing sheets, and documentation for cross functional teams and collaborate with them as they implement itDesign systems to prevent exploits, control inflation, and maintain long-term economic stabilityEnsure consistent economic balance and fairness across platformsDesired Profile: 8+ years of experience in game economy design, preferably in Social Casino gamesDeep understanding of free-to-play economy design, monetization strategies, and player psychologyProficiency in MS Excel, Google sheets or other statistical tools for analytical modelingExperience working closely with developers, product managers, and analystsStrong communication skillsPassion for gaming and a good understanding of the gaming industryMasters degree in Math, Statistics, Economics, or Engineering

You have a fantastic opportunity ahead if you are passionate about machine learning engineering and AI development. Here is what you can expect in this role: **Role Overview:** You will be responsible for designing, developing, and optimizing machine learning models for various applications across different domains. Additionally, you will build natural language processing pipelines for tasks such as text generation, summarization, and translation. Your role will involve developing and deploying cutting-edge generative AI & Agentic AI applications, implementing MLOps practices, and integrating machine learning capabilities into existing products or building new AI-powered applications. You will also be involved in data mining, cleaning, preparation, and augmentation for training robust ML models. Collaboration with cross-functional teams to translate AI requirements into technical implementations will be a key aspect of your responsibilities. Furthermore, you will ensure model performance, scalability, and reliability while continuously researching and implementing state-of-the-art AI/ML algorithms and techniques. Managing the end-to-end ML lifecycle from data processing to production deployment will also be part of your role. **Key Responsibilities:** - Design, develop, and optimize machine learning models for applications across different domains. - Build natural language processing pipelines for tasks like text generation, summarization, translation, etc. - Develop and deploy cutting-edge generative AI & Agentic AI applications. - Implement MLOps practices - model training, evaluation, deployment, monitoring, and maintenance. - Integrate machine learning capabilities into existing products or build new AI-powered applications. - Perform data mining, cleaning, preparation, and augmentation for training robust ML models. - Collaborate with cross-functional teams to translate AI requirements into technical implementations. - Ensure model performance, scalability, reliability. - Continuously research and implement state-of-the-art AI/ML algorithms and techniques. - Manage the end-to-end ML lifecycle from data processing to production deployment. **Qualification Required:** - Minimum 5 years of experience in machine learning engineering and AI development. - Deep expertise in machine learning algorithms and techniques like supervised/unsupervised learning, deep learning, reinforcement learning, etc. - Solid experience in natural language processing (NLP) - language models, text generation, sentiment analysis, etc. - Proficiency in programming languages like Python, and ML frameworks like TensorFlow, PyTorch, etc. - Bachelors or masters degree in computer science, AI, Statistics, Math, or related fields.,

As a Business Intelligence Analyst (R Shiny Developer) at MCGI Private Limited in Kochi, India, your primary responsibility will be to collaborate with the U.S.-based business analytics team. You will focus on maintaining and enhancing the in-house Shiny dashboard, developing new functionalities and automation, and supporting business intelligence and data engineering needs. Key Responsibilities: - Maintain, optimize, and enhance the Shiny dashboard to ensure reliability and performance. - Develop SQL data pipelines to support merchants and the business analytics team. - Create new features and automation to streamline merchandising processes. - Collaborate with merchants, sales, and stakeholders to identify and implement data-driven solutions. Qualifications: - Proficiency in SQL, R, and Shiny (experience with Apache Airflow is a plus). - Bachelor's degree in Information Systems, Mathematics, Data Science, Computer Science, Statistics, or a related STEM field. - Minimum of 2-3 years of R Shiny development experience. - Strong analytical, problem-solving, and communication skills. - Ability to work both independently and in collaborative team environments. If you are enthusiastic about utilizing data, automation, and business intelligence to drive value, we are excited to hear from you!,

As a Senior Manager / Director in the Risk Advisory practice specializing in credit risk management at EY, you will be responsible for leading a team to execute and deliver engagements, collaborating with industry professionals to develop risk management strategies, and demonstrating deep technical expertise in financial products with a focus on lending solutions. Your key responsibilities will include: - Leading a team of 2-3 Managers, 10-12 Senior consultants, and analysts for engagement execution and delivery - Showcasing exceptional project management abilities and fostering a collaborative environment among team members - Demonstrating deep technical expertise in financial products, particularly in lending solutions - Designing, assessing, and benchmarking financial risk management policies and frameworks - Staying abreast of market trends and challenges in the financial services sector - Monitoring project progress, managing risks, and effectively communicating with key stakeholders - Reviewing, analyzing, and validating the work completed by junior team members - Adapting to projects involving model audits, validation, and development Qualifications, Certifications, and Education: Must-have: - Graduate or Masters degree in a technical or quantitative discipline with 10-12 years of experience in financial services risk management - Strong background in consulting firms and/or top banks - Excellent analytical and problem-solving skills - Proficiency in statistics, econometrics, and credit risk model development - Knowledge of AI & machine learning applications in risk management - Advanced technical skills in Python, SAS, SQL, R, and Excel - Strong communication, presentation, and documentation skills - Ability to manage expectations and deliver high-quality results under tight deadlines Preferred: - Professional certifications such as FRM, CFA, PRM, or SCR - Knowledge of regulatory modeling and stress testing processes - Experience in climatic risk space and Interest Rate Risk in Banking Book - Familiarity with machine learning models and their practical applications - Prior project management experience - Willingness to travel for client engagements At EY, you will have the opportunity to work on inspiring and meaningful projects, receive support and coaching from engaging colleagues, develop new skills, and progress your career. You will have the freedom and flexibility to handle your role in a way that suits you, with opportunities for personal development and a focus on high quality and knowledge exchange. As a Senior Manager / Director in the Risk Advisory practice specializing in credit risk management at EY, you will be responsible for leading a team to execute and deliver engagements, collaborating with industry professionals to develop risk management strategies, and demonstrating deep technical expertise in financial products with a focus on lending solutions. Your key responsibilities will include: - Leading a team of 2-3 Managers, 10-12 Senior consultants, and analysts for engagement execution and delivery - Showcasing exceptional project management abilities and fostering a collaborative environment among team members - Demonstrating deep technical expertise in financial products, particularly in lending solutions - Designing, assessing, and benchmarking financial risk management policies and frameworks - Staying abreast of market trends and challenges in the financial services sector - Monitoring project progress, managing risks, and effectively communicating with key stakeholders - Reviewing, analyzing, and validating the work completed by junior team members - Adapting to projects involving model audits, validation, and development Qualifications, Certifications, and Education: Must-have: - Graduate or Masters degree in a technical or quantitative discipline with 10-12 years of experience in financial services risk management - Strong background in consulting firms and/or top banks - Excellent analytical and problem-solving skills - Proficiency in statistics, econometrics, and credit risk model development - Knowledge of AI & machine learning applications in risk management - Advanced technical skills in Python, SAS, SQL, R, and Excel - Strong communication, presentation, and documentation skills - Ability to manage expectations and deliver high-quality results under tight deadlines Preferred: - Professional certifications such as FRM, CFA, PRM, or SCR - Knowledge of regulatory modeling and stress testing processes - Experience in climatic risk space and Interest Rate Risk in Banking Book - Familiarity with machine learning models and their practical applications - Prior project management experience - Willingness to travel for client engagements At EY, you will have the opportunity to work on inspiring and meaningful projects, receive support and coaching from engaging colleagues, develop new skills, and progress your career. You will have the freedom and flexibility to handle

As a Full Stack Developer, you will be part of a cross-functional team responsible for the full software development life cycle, from conception to deployment. You should be comfortable with both front-end and back-end coding languages, development frameworks, and third-party libraries. A team player with a knack for visual design and utility, familiarity with Agile methodologies is a plus. **Key Responsibilities:** - Work with development teams and product managers to ideate software solutions. - Design client-side and server-side architecture. - Build the front-end of applications through appealing visual design. - Develop and manage well-functioning databases and applications. - Write effective APIs. - Test software to ensure responsiveness and efficiency. - Troubleshoot, debug, and upgrade software. - Create security and data protection settings. - Build features and applications with a mobile responsive design. - Write technical documentation. - Work with data scientists and analysts to improve software. **Qualifications Required:** - 0 to 4 years of experience. - Proven experience as a Full Stack Developer or similar role. - Experience developing desktop and mobile applications. - Familiarity with common stacks. - Knowledge of multiple front-end languages and libraries (e.g., HTML/CSS, JavaScript, XML, jQuery). - Knowledge of multiple back-end languages (e.g., .NET, Java, Python) and JavaScript frameworks (e.g., Angular, React, Node.js). - Familiarity with databases (e.g., MySQL, MongoDB), web servers (e.g., Apache), and UI/UX design. - Excellent communication and teamwork skills. - Great attention to detail. - Organizational skills. - An analytical mind. - Degree in Computer Science, Statistics, or relevant field.,

As an HR Coordinator at 9E Global, your role will involve supporting the Head of HR in delivering HR objectives within the organization. You will be the first-line contact for HR requirements and an essential part of the wider HR team. Your responsibilities will include liaising with managers at all levels, ensuring effective administration of HR processes and systems, managing resourcing requirements, and providing comprehensive HR services to management teams. Key Responsibilities: - Support the Head of HR in delivering HR objectives within the organization. - Act as the first-line contact for HR requirements and an integral part of the wider HR team. - Liaise with managers at all levels and refer issues to the Head of HR where necessary. - Administer HR processes and systems effectively. - Manage resourcing requirements and assist with recruitment activities. - Deliver comprehensive HR services to management teams. - Coordinate and design an induction process for new starters, including Health & Safety procedures. - Prepare monthly management information activity statistics. - Provide advice to staff and managers on various HR issues, including disciplinary, redundancy, grievance, and employment law. - Compile a training database, discuss requirements with Line Managers, and coordinate training activities. - Update sickness database and inform Line Managers accordingly. - Assist in administrative arrangements for Investigatory Interviews, Disciplinary and Grievance Hearings. Qualifications: - 5+ years of relevant experience in HR. - Degree qualified or equivalent. At 9E Global, our mission is to build a better world by delivering innovative design solutions rooted in best practices and excellence. If you are a driven HR professional looking to contribute to a transformative force in the built environment, we welcome you to join our team.,

As a Warehouse Manager, you will be responsible for strategically managing the warehouse in compliance with the company's policies and vision. Your role will involve overseeing receiving, warehousing, distribution, and maintenance operations. It will be your responsibility to set up layout and ensure efficient space utilization. You will need to initiate, coordinate, and enforce optimal operational policies and procedures to enhance efficiency. Key Responsibilities: - Adhere to all warehousing, handling, and shipping legislation requirements - Maintain standards of health and safety, hygiene, and security within the warehouse - Manage stock control and reconcile with the data storage system - Prepare the annual budget for warehouse operations - Liaise with clients, suppliers, and transport companies to ensure smooth operations - Plan work rotas, assign tasks appropriately, and appraise results of the team - Recruit, select, orient, coach, and motivate employees to maintain a high-performing team - Produce reports and statistics regularly, such as IN/OUT status report, dead stock report, etc. Qualifications Required: - Must have advanced knowledge in Excel, Pivot table, etc. Additional Company Details: (if available - otherwise omit this section) - Contact: +91 7994413136 - Job Type: Full-time - Benefits: Health insurance - Work Location: In person If you have at least 1 year of total work experience and are willing to reliably commute or relocate to Ernakulam, Kerala, then this role could be the right fit for you.,

As an experienced Data Analytics Trainer, your role involves designing and delivering high-quality training programs in data analytics to help students develop the necessary skills. Your technical expertise, teaching skills, and passion for mentoring students will be invaluable in this position. Key Responsibilities: - Design and develop curriculum for data analytics training programs. - Deliver engaging and interactive training sessions to students. - Provide hands-on training and guidance on data analytics tools and techniques. - Assess student progress and offer constructive feedback. - Stay updated with industry trends and developments in data analytics. Qualifications Required: - Strong background in data analytics, statistics, or a related field. - Experience with data analytics tools like Excel, Python, R, SQL, Tableau, Power BI, etc. - Excellent teaching and communication skills. - Ability to adapt to different learning styles and expertise levels. - Strong analytical and problem-solving skills. In addition to the above responsibilities and qualifications, the job offers full-time, permanent employment with benefits such as cell phone reimbursement. The work location is in person.,

Role Overview: You will be joining a team at EY in the banking and insurance sectors as a talented Data Scientist. Your role will involve analyzing large datasets, developing predictive models, exploring Generative AI applications, collaborating with cross-functional teams, creating data visualizations, utilizing Azure services, and staying updated on industry trends. Key Responsibilities: - Analyze large datasets to extract meaningful insights and support business decisions in banking and insurance operations. - Develop and implement predictive models using SAS, R, and Python to address business challenges and improve operational efficiency. - Explore and apply Generative AI techniques to enhance data-driven solutions and create innovative products and services. - Work closely with cross-functional teams to understand data requirements and deliver actionable insights. - Create compelling visualizations and reports to communicate findings and recommendations to both technical and non-technical audiences. - Utilize Azure services for data storage, processing, and model deployment to ensure scalability and efficiency. - Stay updated on industry trends, emerging technologies, and best practices in data science and analytics. Qualifications: - Bachelors or Masters degree in Data Science, Statistics, Computer Science, or a related field. - 2-4 years of experience as a Data Scientist, preferably in the banking and insurance sectors. - Proficiency in SAS, R, and Python for data analysis and modeling. - Familiarity with Generative AI concepts and applications. - Experience with Azure services for data analytics and model deployment. - Strong analytical and problem-solving skills. - Excellent communication skills. Additional Company Details: EY exists to build a better working world, helping to create long-term value for clients, people, and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate. Working across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.,

As a Senior Data Scientist Engineer at our company, you will play a crucial role in building and enhancing data systems to drive analytics, machine learning, and reporting. Your expertise in both data engineering and data science will be instrumental in managing large datasets, creating predictive models, and deriving valuable insights for strategic business decisions. Key Responsibilities: - Data mining and extraction of useful information from diverse data sources - Utilizing machine learning tools to select features, build and optimize classifiers - Conducting preprocessing of structured and unstructured data - Improving data collection procedures to ensure inclusion of all relevant information for developing analytic systems - Processing, cleansing, and validating data integrity for analysis purposes - Analyzing extensive datasets to identify patterns and propose solutions - Developing prediction systems and machine learning algorithms - Presenting results in a clear and actionable manner - Collaborating with Business and IT teams to address business challenges effectively Preferred Skills: - Proficient in programming languages such as R, Python, SQL, Hive, and Pig - Minimum 2 years of experience as a data scientist - Familiarity with Scala, Java, or C++ is advantageous - Strong statistical skills including knowledge of tests, distributions, and regression - Sound understanding of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests - Proficiency in multivariable Calculus and Linear Algebra - Ability to handle imperfections in data (Data Wrangling) - Experience with Data Visualization Tools like matplotlib, ggplot, d3.js., Tableau - Excellent communication skills to convey findings to diverse audiences - Background in software engineering - Problem-solving aptitude and analytical mindset - Degree in Computer Science, Engineering, or related field preferred - Proven experience as a Data Analyst or Data Scientist What Company Offers: - Excellent career growth opportunities and exposure to multiple technologies - Fixed weekday schedule with weekends off - Family Medical Insurance - Unique leave benefits and performance-based encashment options - Long-term growth prospects - Supportive and collaborative work environment - Internal employee rewards programs and bonus opportunities - Work-life balance initiatives including flexible work timings and social activities - Company-sponsored international tours Join us in Kochi or Trivandrum for a rewarding career in Data Science with ample opportunities for professional development and personal growth.,

As an Advanced AI Researcher & Engineer at JohnTuringWatson Software Solutions Pvt Ltd (JTW), you will be part of the Innovation Team working on cutting-edge solutions in Agentic AI. If you have a passion for using AI, Machine Learning, and next-gen computation models to solve real-world problems, we are looking for talent like you with 2+ years of experience. **Key Responsibilities**: - Designing autonomous, reasoning-driven systems in the field of Agentic AI - Utilizing Python for ML/AI pipelines and quantum programming - Implementing Deep Learning using TensorFlow, PyTorch, or Hugging Face frameworks - Working on NLP and LLMs with experience in transformer architectures, prompt engineering, or fine-tuning models - Demonstrating expertise in ML Ops including model deployment, performance tuning, and monitoring - Applying strong foundations in Mathematics, Probability, Linear Algebra, and Statistics **Qualifications Required**: - Solid understanding of AI/ML concepts such as supervised, unsupervised, and reinforcement learning - Ability to research, prototype, and scale AI models into production - Comfortable in a cross-functional R&D environment - Prior experience contributing to AI publications, open-source projects, or patents is a plus If you join JTW, you will have the opportunity to work on industry-defining projects with an elite research team. You will also gain exposure to emerging domains like Agentic AI, Edge-native models, and Quantum-AI fusion in a collaborative, innovation-first culture with global delivery reach. Additionally, you will have access to dedicated infrastructure, including AI model labs and quantum simulators.,

Role Overview: A Data Scientist is expected to be hands-on to deliver end to end vis a vis projects undertaken in the Analytics space. You must have a proven ability to drive business results with your data-based insights. You must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. Key Responsibilities: - Identify valuable data sources and collection processes - Supervise preprocessing of structured and unstructured data - Analyze large amounts of information to discover trends and patterns for the insurance industry - Build predictive models and machine-learning algorithms - Combine models through ensemble modeling - Present information using data visualization techniques - Collaborate with engineering and product development teams - Hands-on knowledge of implementing various AI algorithms and best-fit scenarios - Has worked on Generative AI based implementations Qualifications Required: - 3.5-5 years experience in Analytics systems/program delivery; at least 2 Big Data or Advanced Analytics project implementation experience - Experience using statistical computer languages (R, Python, SQL, Pyspark, etc.) to manipulate data and draw insights from large data sets; familiarity with Scala, Java, or C++ - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications - Hands-on experience in Azure/AWS analytics platform (3+ years) - Experience using variations of Databricks or similar analytical applications in AWS/Azure - Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop) - Strong mathematical skills (e.g. statistics, algebra) - Excellent communication and presentation skills - Deploying data pipelines in production based on Continuous Delivery practices Additional Information: Omit this section as it does not contain any relevant details regarding the company. (Note: The job description does not include any additional details about the company.),

You will be joining the team at EY as a Senior Data Scientist in the banking and insurance sectors. Your role will involve leveraging data to drive insights and support decision-making processes within the organization. **Key Responsibilities:** - **Data Analysis:** Analyze large datasets to extract meaningful insights and support business decisions in banking and insurance operations. - **Model Development:** Develop and implement predictive models using SAS, R, and Python to address business challenges and improve operational efficiency. - **Generative AI Applications:** Explore and apply Generative AI techniques to enhance data-driven solutions and create innovative products and services. - **Collaboration:** Work closely with cross-functional teams, including data engineers, business analysts, and stakeholders, to understand data requirements and deliver actionable insights. - **Data Visualization:** Create compelling visualizations and reports to communicate findings and recommendations to both technical and non-technical audiences. - **Cloud Integration:** Utilize Azure services for data storage, processing, and model deployment to ensure scalability and efficiency. - **Continuous Learning:** Stay updated on industry trends, emerging technologies, and best practices in data science and analytics. **Qualifications:** - **Education:** Bachelors or Masters degree in Data Science, Statistics, Computer Science, or a related field. - **Experience:** 2-4 years of experience as a Data Scientist, preferably in the banking and insurance sectors. - **Technical Skills:** Proficiency in SAS, R, and Python for data analysis and modeling. - **Generative AI Knowledge:** Familiarity with Generative AI concepts and applications. - **Cloud Proficiency:** Experience with Azure services for data analytics and model deployment. - **Analytical Skills:** Strong analytical and problem-solving skills, with the ability to interpret complex data and provide actionable insights. - **Communication Skills:** Excellent communication skills, with the ability to present findings clearly and effectively to diverse audiences. You will have the opportunity to work at EY, where the goal is to build a better working world by creating long-term value for clients, people, and society, and by building trust in the capital markets. EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate across assurance, consulting, law, strategy, tax, and transactions.,

As a Data Science Trainer, your role involves designing and delivering training programs to educate individuals and teams on data science concepts and techniques. You will be responsible for creating engaging and effective training content to help learners enhance their data science skills. Key Responsibilities: - Design and develop training programs and curriculum for data science concepts and techniques. - Deliver training sessions to individuals and teams, both in-person and online. - Create and manage training materials such as presentations, tutorials, and exercises. - Monitor and evaluate the effectiveness of training programs. - Continuously update training materials and curriculum to reflect the latest trends and best practices in data science. - Provide one-on-one coaching and mentoring to learners. Qualifications Required: - A degree in a relevant field such as computer science, data science, statistics, or mathematics. - Strong understanding of data science concepts and techniques. - Experience with programming languages such as Python, R, and SQL. - Strong presentation and communication skills. - Experience in training and/or teaching. - Experience with data visualization tools such as Tableau, Power BI, or Matplotlib is a plus. - Knowledge of data science platforms such as Scikit-learn, Tensorflow, Keras, etc. is a plus. The role of a data science trainer is suited for individuals who are passionate about teaching, possess a solid understanding of data science, and can adapt to the learners" needs effectively. You will be expected to deliver training programs in an engaging and effective manner while staying updated with the latest trends and best practices in data science.,

You will be responsible for co-ordinating and managing clinical audit projects. This involves maintaining complex audit processes and tools related to authorizations, quality, case management, inter rater reliability, and data entry. You will audit staff following established processes and assist in making recommendations for improvement to the In-charge. Working with the In-charge, you will identify patterns or trends that require additional training or corrective action. Communication with stakeholders such as doctors, nurses, and others will be essential to provide feedback and recommendations for improvement. Following up on given recommendations for improvement and reporting to concerned entities will also be part of your role. Your responsibilities will include interpreting findings to develop recommendations for changes to clinical practice. You will collaborate with the Units Training team to incorporate compliance and audit findings into training programs. Additionally, you will liaise with different units and departments to receive relevant clinical, performance, and operational information. Evaluating documentation for deficiencies in patients" medical records and preparing comprehensive audit reports will be a key task. Participation in educational programs related to the medical record field and carrying out technical analysis and evaluation of medical records in accordance with hospital standards will also be required. You will maintain compiled statistics reports for the audit, including Doctor-wise, Department-wise, Area-wise, etc. Ensuring patient confidentiality at all times and developing and revising policies and procedures related to audit processes will be crucial aspects of the role. You may also be required to undertake any other duties as directed by management and cooperate with all units and departments related to medical record services to obtain acceptable records for providing efficient services. Compliance with relevant rules, regulations, standards, policies, and procedures is essential. Additionally, the post holder should have the ability to commute or relocate to Ernakulam, Kerala, as this is a Full-time, Permanent position. A Bachelor's degree is required for this role, along with a BHMS/BAMS license or certification.,

As a Data Science Trainer/Faculty at Blitz Academy, you will play a crucial role in delivering high-quality training sessions in Data Science, Machine Learning, and Python Programming. Your passion for mentoring will be key as you contribute to academic and real-world development projects. - Design and conduct interactive training sessions on Python, Data Science, Machine Learning, Deep Learning, and related technologies. - Develop curriculum, tutorials, assignments, and evaluation tools tailored for students at different learning levels. - Provide individual mentorship and support to students to help them build strong foundational and practical knowledge. - Stay updated with the latest industry trends, tools, and techniques to integrate them into your teaching approach. - Contribute to both internal and external data science or analytics projects. - Guide students on project development, capstone projects, and real-world problem-solving. Qualification Required: - Proficient in Python programming, R - Hands-on experience with data science libraries: Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, etc. - Basic exposure to TensorFlow or PyTorch. - Strong grasp of SQL databases and data querying. - Solid understanding of statistics, data wrangling, and data visualization techniques. - Good knowledge of Machine Learning and Deep Learning models. - Understanding of NLP and working with textual data. - Proficiency in tools like Excel and Microsoft Power BI for data analysis. - Strong communication and presentation skills. - Ability to simplify complex concepts into engaging explanations.,

Role Overview: You will be joining the EY GDS Risk Consulting team as a Senior Consultant in Credit Risk within the MENA Financial Services Risk Management (FSRM) division. In this role, you will be responsible for delivering tailored risk solutions to clients in the banking sector, focusing on credit risk management within banking book portfolios. Your work will involve collaborating with multi-disciplinary teams to ensure high-quality outputs and service to clients, as well as developing and implementing new solutions to meet client needs. Key Responsibilities: - Demonstrate deep technical expertise and industry knowledge, particularly in financial products with a focus on lending solutions. - Design, assess, and benchmark financial risk management policies, frameworks, and methodologies covering various risk domains such as credit risk, market risk, operational risk, liquidity risk, climate risk, and integrated risk topics. - Monitor project progress, manage risks, and effectively communicate status, issues, and priorities to key stakeholders. - Mentor and support the development of junior consultants within the organization. - Review, analyze, and validate the work completed by junior team members to ensure accuracy and quality. - Adapt to projects involving model audits, validation, and development, demonstrating flexibility and domain knowledge. Qualifications Required: Must-have: - Graduate or Masters degree in a technical or quantitative discipline such as Engineering, Mathematics, Statistics, Physics, or equivalent with a minimum of 3 years of relevant experience. - Solid foundation in statistics and econometrics. - Proficiency in Python, SAS, SQL, R, and Excel. - Hands-on experience in data preparation, manipulation, and consolidation. - Strong documentation skills and ability to present complex concepts clearly. - Ability to manage expectations and deliver high-quality results under tight deadlines. Preferred: - Professional certifications such as FRM, CFA, PRM, or SCR. - Knowledge of regulatory modeling (BASEL, CCAR, IFRS9) and Interest Rate Risk in Banking Book (IRRBB). - Experience in data/business intelligence (BI) reporting and familiarity with machine learning models. - Willingness to travel for client engagements. (Note: Any additional details of the company mentioned in the JD have been omitted for brevity.),

As a Full Stack Developer at our company, you will be part of a cross-functional team responsible for the full software development life cycle. Your role will involve working on both front-end and back-end coding languages, development frameworks, and third-party libraries. Your expertise in Agile methodologies will be valued by the team. Key Responsibilities: - Work with development teams and product managers to brainstorm software solutions. - Design client-side and server-side architecture. - Develop the front-end of applications with visually appealing designs. - Create and manage well-functioning databases and applications. - Write efficient APIs. - Test software for responsiveness and efficiency. - Troubleshoot, debug, and upgrade software. - Implement security and data protection measures. - Develop features and applications with a mobile-responsive design. - Prepare technical documentation. - Collaborate with data scientists and analysts to enhance software. Qualifications Required: - 8 to 12 years of experience in Full Stack Development. - Proven track record as a Full Stack Developer or similar role. - Experience in developing desktop and mobile applications. - Familiarity with common stacks. - Proficiency in multiple front-end languages and libraries (e.g., HTML/CSS, JavaScript, XML, jQuery). - Proficiency in multiple back-end languages (e.g., .NET, Java, Python) and JavaScript frameworks (e.g., Angular, React, Node.js). - Knowledge of databases (e.g., MySQL, MongoDB), web servers (e.g., Apache), and UI/UX design. - Excellent communication, teamwork, and organizational skills. - Strong attention to detail and analytical thinking. - Bachelor's degree in Computer Science, Statistics, or a relevant field. Location: Kochi, Kerala, India Join us to contribute to building scalable software solutions and be a key player in the success of our projects.,

As a passionate individual interested in Data Analytics, you have a spectacular opportunity to fast-track your career into a Senior Data Analyst position with our company. Your educational background in Engineering, Mathematics, Statistics, or any other domain is welcomed as we focus on your attitude, talent, skills, and emotional intelligence over a 3-month duration. The hands-on training program is provided at no cost to you, offering the requisite knowledge and exposure to an exceptional work culture that will kickstart your career in Data Analytics. Responsibilities: - Translate business user stories into technical requirements - Identify challenges in day-to-day business activities - Extract complex data from various sources and maintain the database - Create insights and identify patterns from complex data - Apply statistical techniques to interpret data - Work collaboratively with a team or individually towards common goals - Prioritize activities and take timely actions to streamline daily operations Key Skills Requirements: - Excellent communication and interpersonal skills - 3-5 years of experience in any domain is required - Proficiency in databases, data models, and analytics tools like Tableau, Power BI, Excel VBA Macros, SPSS, SAS is preferred - Ability to deliver results driven by analytical and numeric skills, and convey data stories through visualization - Team player capable of working across cross-functional teams for project implementation - Extensive experience in technical requirements gathering and documentation is advantageous - Ability to work effectively and independently in a fast-paced agile environment with tight deadlines - Flexible, pragmatic, and collaborative team player with the ability to engage stakeholders at all levels - Attention to detail and proficiency in adaptive learning for quick acquisition of domain knowledge Additional Details: We prefer Gen Z candidates and offer perks such as comprehensive health plans, learning and development opportunities, workation, outdoor training, hybrid working environment, and onsite travel opportunities. Join us at Beinex for a rewarding career in Data Analytics. Please note the joining date is immediate or with a maximum 30 days notice period. Qualifications preferably include a bachelor's or master's degree in Engineering, Statistics, or Mathematics.,

As a Machine Learning Engineer at G3 Interactive in Kochi, you will be responsible for developing intelligent, data-driven solutions tailored to client needs. You will be a key player in building real-world machine learning applications, from exploring new algorithms to deploying robust systems. Key Responsibilities: - Apply over two years of hands-on experience with deep learning and neural networks in practical projects - Research and evaluate novel machine learning models and techniques - Build and test experimental prototypes to support product development - Design ML systems based on specific client or business requirements - Translate model results into meaningful business insights - Assess test results and enhance model performance through continuous tuning - Conduct data exploration and visualization to uncover issues affecting model accuracy - Prepare datasets from varied sources such as APIs, databases, or structured files - Deploy machine learning models to production and manage their ongoing performance Required Skills & Qualifications: - Strong understanding of advanced mathematics and statistics, including calculus, linear algebra, and Bayesian methods - Degree in Computer Science, Mathematics, Statistics, or a related discipline - Proficiency in Python and SQL - Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn - Good grasp of software architecture, data modeling, and data structures - Experience running ML models on cloud services (AWS, Azure, or Google Cloud) - Strong problem-solving abilities, teamwork, and analytical thinking - Familiarity with data science workflows and tools In this role, you will need to have a strong understanding of advanced mathematics and statistics, including calculus, linear algebra, and Bayesian methods. A degree in Computer Science, Mathematics, Statistics, or a related discipline is required. Proficiency in Python and SQL is essential, along with experience in ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. Additionally, you should have a good grasp of software architecture, data modeling, and data structures. Experience running ML models on cloud services like AWS, Azure, or Google Cloud is preferred. Strong problem-solving abilities, teamwork skills, and analytical thinking are important for success in this role. Familiarity with data science workflows and tools is a plus. Please note that the job type is full-time, with day and morning shifts available. The ability to reliably commute or plan to relocate to Ernakulam, Kerala, is required. The work location is in person at Ernakulam, Kerala.,