1172 Probability Jobs - Page 21

The Program Mgmt Intmd Analyst is a developing professional role. Deals with most problems independently and has some latitude to solve complex problems. Integrates in-depth specialty area knowledge with a solid understanding of industry standards and practices. Good understanding of how the team and area integrate with others in accomplishing the objectives of the subfunction/ job family. Applies analytical thinking and knowledge of data analysis tools and methodologies. Requires attention to detail when making judgments and recommendations based on the analysis of factual information. Typically deals with variable issues with potentially broader business impact. Applies professional judgment when interpreting data and results. Breaks down information in a systematic and communicable manner. Developed communication and diplomacy skills are required in order to exchange potentially complex/sensitive information. Moderate but direct impact through close contact with the businesses' core activities. Quality and timeliness of service provided will affect the effectiveness of own team and other closely related teams. Responsibilities: Supports planning, directing and coordination of day-to-day activities of running a program or portfolio of programs. Responsible for the review and analysis of the financials including investigation of variances noted for the period. Reports to the Business Management Office Head any inconsistencies or improprieties noted during the review. Identifies primary drivers for cost movements and variances observed, and ensuring recovery and costs are close to budgeted numbers and plan. Analyzes data to ensure proper accounting booking procedures have been followed. Ensures timely booking of accrual entries for the Centre. Reviews and analyzes payments and ensure expenses are charged to the proper cost center. Provides timely, relevant and accurate reporting & analysis of the results of performance against historical, budgeted, forecasted and strategic planning results to facilitate decision-making toward the achievement of the budget and strategic plan. Monitors monthly productivity and provides inputs to ensure timely reporting of Productivity Saves. Maintains hiring and attrition tracker. Provides weekly variance analysis on HC movement, requisition control, generation of weekly/monthly HC reports. Supports the preparation of monthly packages for senior partners to review as well as and various ad-hoc reporting requests from senior leadership. Identifies program risks, perform probability and impact analysis, determine responses to risks, track risks, and execute responses as needed. Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Qualifications: 2-5 years relevant experience Education: Bachelor’s/University degree or equivalent experience ------------------------------------------------------ Job Family Group: Project and Program Management ------------------------------------------------------ Job Family: Program Management ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

Experience with Natural Language Processing (NLP) and Computer Vision (CV) techniques. Knowledge of DevOps methodologies and practices for continuous integration/continuous delivery (CI/CD). Experience with data warehousing and data lakes solutions like BigQuery or Snowflake. Familiarity with real-time data processing and streaming analytics. Passion for learning and staying at the forefront of data science and machine learning advancements. Master's degree in Computer Science, Statistics, Mathematics, or a related field. 7+ years of experience in data science and machine learning with a strong focus on model development and deployment. Expert-level knowledge of statistics, including probability theory, hypothesis testing, and statistical inference. In-depth knowledge of machine learning algorithms, including linear regression, logistic regression, decision trees Good knowledge on software configuration management systems Strong business acumen, strategy and cross-industry thought leadership Awareness of latest technologies and Industry trends Logical thinking and problem solving skills along with an ability to collaborate Two or three industry domain knowledge Understanding of the financial processes for various types of projects and the various pricing models available Client Interfacing skills Knowledge of SDLC and agile methodologies Project and Team management

Master's degree in Computer Science, Statistics, Mathematics, or a related field. 7+ years of experience in data science and machine learning with a strong focus on model development and deployment. Expert-level knowledge of statistics, including probability theory, hypothesis testing, and statistical inference. In-depth knowledge of machine learning algorithms, including linear regression, logistic regression, decision trees, random forests, xgboost, and ensemble learning. Evaluate the performance of machine learning models and refine them to improve accuracy andgeneralizability. Communicate data insights to stakeholders in a clear and concise manner, using data visualization techniques and storytelling. collaborate with data engineers, software developers, and business stakeholders to integrate data science solutions into products and services. Stay up-to-date with the latest trends and developments in data science, machine learning, and artificial intelligence. Experience with Natural Language Processing (NLP) and Computer Vision (CV) techniques. Knowledge of DevOps methodologies and practices for continuous integration/continuous delivery (CI/CD). Experience with data warehousing and data lakes solutions like BigQuery or Snowflake. Familiarity with real-time data processing and streaming analytics. Passion for learning and staying at the forefront of data science and machine learning advancements.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. The opportunity We are looking for a Senior Consultant to join our General Insurance Actuarial Practice, delivering solutions to leading clients in the Insurance Sector. You will work closely with other staff/assistants, consultants/seniors, managers, senior managers, or client partners in EY’s global network of insurance sector and consulting professionals. Within our talented and dynamic Actuarial team, members work on multiple client engagement teams that perform CAT modeling, actuarial model building and validations, reserving (actuarial liability estimation), due diligence, valuation analysis for IFRS, GAAP, and statutory calculations and reviews, capital/risk modeling, and other related actuarial projects for General and Health insurance businesses. Team members also receive on-the-job training to acquire practical experience in addressing business/technical issues and in applying industry knowledge and EY policies/procedures on client engagements. The position is designed to enable members to pursue actuarial exams while developing the basic skills needed to be successful actuarial consultants, combining excellent learning and career opportunities. Our growing team of professionals comes from diverse backgrounds, all committed to being long-term trusted advisors to our clients. Your Key Responsibilities As a Senior Consultant within the Actuarial team, your role involves developing and implementing solutions both within the Insurance service line and in collaboration with other service lines. On engagements, you will: Be responsible for providing high-quality results and generating effective solutions while working alongside Senior Consultants, Managers, or Senior Managers in delivering the project. Provide focused solutions and training to staff members. Ensure all engagements are delivered on time. Deliver engagements in line with our values and commitment to quality, ensuring that work meets high standards. Establish/manage priorities, communicate the status of activities, and accumulate/report all chargeable hours. Within the actuarial practice you will: Collect and assess catastrophe exposure data, ensuring data quality and the necessary assumptions for risk modeling. Prepare and analyze data and modeling results for portfolio management and reinsurance renewal projects. Evaluate changes in exposures and their impact on catastrophe model results, effectively communicating findings to internal stakeholders. Model probability distributions of gross, ceded, and net results using RMS or other vendor catastrophe modeling software. Analyze how result distributions and relevant risk measures vary with different reinsurance program alternatives. Contribute to the development and enhancement of proprietary catastrophe modeling and mapping tools. Lead internal catastrophe modeling projects and initiatives. Review monthly reports to assess and manage exposure strategies and ongoing portfolio optimization. Conduct risk analytics, including the development of analytical tools and support for risk analysis. Familiarity with RMS, AIR, ARIUS, Alteryx, IGLOO, ResQ, or other actuarial general insurance software is preferred but not required. Stay updated on current business and economic developments relevant to the industry and geography. We are looking for individuals who have a proactive attitude and are seeking the opportunity for personal and professional growth, leveraging and supporting our global network. Skills And Attributes For Success Skills and attributes for a successful career at EY require a learning mindset and passion to add value to GDS, member firms and client organizations. Bright and enthusiastic individuals who give their all to each assignment they work on will find themselves at home within our energetic GDS actuarial team. To qualify for the role, you must have 4+ years of CAT modeling experience, with in-depth knowledge of the underlying model methodologies and assumptions. An understanding of the insurance industry and product lines. Technical expertise working with RMS or other catastrophe models. Superior data management skills, with the ability to manipulate, interpret, and extrapolate complex data. Strong communication and presentation skills, with the ability to translate complex technical analysis and concepts into easily understandable terms. The ability to multi-task and a flexible work attitude, along with good analytical skills. Experience in handling a small team will be an advantage. Proficiency in MS Office Suite, VBA, SAS, R Programming, Python, SQL, SPSS, etc., will be a plus. Ideally, you’ll also have A strong academic background with a bachelor’s degree emphasizing actuarial science, mathematics, statistics, or finance, ideally supplemented with a professional qualification. Strong written and verbal communication skills for report writing, industry studies, and stakeholder presentations. Overseas exposure (US/UK/Australia market experience). What We Look For Deep knowledge and experience in the insurance industry and/or consulting. Relevant recent Big 4 experience in leading actuarial engagements with recognized insurers will be an advantage. This should ideally be complemented by employment experience within the insurance sector, either at an insurer, intermediary, or regulator. Up-to-date knowledge of the regulatory environment impacting insurers and other financial service organizations. Experience in supporting teams to deliver high-quality, timely results, actively building relationships, and promoting a collaborative culture when working with colleagues. EY | Building a better working world 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.

Job Description In This Role, Your Responsibilities Will Be: Collaborate with cross-functional teams to identify opportunities to apply data-driven insights and develop innovative solutions to complex business problems. Develop, implement, and maintain SQL data pipelines and ETL processes to collect, clean, and curate large and diverse datasets from various sources. Design, build, and deploy predictive and prescriptive machine learning models, generative AI model prompt engineering to help the organization make better data-driven decisions. Perform exploratory data analysis, feature engineering, and data visualization to gain insights and identify potential areas for improvement. Optimize machine learning models and algorithms to ensure scalability, accuracy, and performance while minimizing computational costs. Continuously monitor and evaluate the performance of deployed models, updating or refining them as needed. Stay abreast of the latest developments in data science, machine learning, and big data technologies to drive innovation and maintain a competitive advantage. Develop and implement best practices in data management, data modeling, code, and data quality assurance. Communicate effectively with team members, stakeholders, and senior management to translate data insights into actionable strategies and recommendations. Who You are: You take initiatives and doesn’t wait for instructions and proactively seek opportunities to contribute. You adapt quickly to new situations and apply knowledge optimally. Clearly convey ideas and actively listen to others to complete assigned task as planned For This Role, You Will Need: Bachelor’s degree in computer science, Data Science, Statistics, or a related field or a master's degree or higher is preferred. 3-5 years of experience with popular data science libraries and frameworks such as scikit-learn, SQL, SciPy, TensorFlow, PyTorch, NumPy and Pandas. Minimum 2 years of experience in data science projects leveraging machine learning, deep learning, transformer based large language models or any of other cutting edge AI technologies. Strong programming skills in Python is a must. Solid understanding of calculus, linear algebra, probability, machine learning algorithms, Transformer architecture-based model and data modeling techniques. Proficiency in data visualization tools, such as Matplotlib or Seaborn or Bokeh or Dash. Strong problem-solving and analytical skills with an ability to synthesize complex data sets into actionable insights. Excellent written and verbal communication skills, with the ability to present technical concepts to non-technical audiences. Preferred Qualifications that Set You Apart: Possession of relevant certification/s in data science from reputed universities specializing in AI. Prior experience in engineering would be nice to have. Our Culture & Commitment to You At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow. We foster an environment that encourages innovation, collaboration, and diverse perspectives—because we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether through mentorship, training, or leadership opportunities, we invest in your success so you can make a lasting impact. We believe diverse teams, working together are key to driving growth and delivering business results. We recognize the importance of employee wellbeing. We prioritize providing competitive benefits plans, a variety of medical insurance plans, Employee Assistance Program, employee resource groups, recognition, and much more. Our culture offers flexible time off plans, including paid parental leave (maternal and paternal), vacation and holiday leave.

ML Intern Hyperworks Imaging is a cutting-edge technology company based out of Bengaluru, India since 2016. Our team uses the latest advances in deep learning and multi-modal machine learning techniques to solve diverse real world problems. We are rapidly growing, working with multiple companies around the world. JOB OVERVIEW We are seeking a talented and results-oriented ML Intern to join our growing team in India. In this role, you will be responsible for developing and implementing new advanced ML algorithms at the intersection of energy and climate change. The ideal candidate will work on a complete ML pipeline starting from extraction, transformation and analysis of data to developing novel ML algorithms. The candidate will implement latest research papers and closely work with various stakeholders to ensure data-driven decisions and integrate the solutions into a robust ML pipeline. RESPONSIBILITIES: Extract, clean, and transform data from various sources using OCR or Deep Learning. Develop and implement web scraping scripts using Python libraries like BeautifulSoup and Selenium. Build and maintain data pipelines for efficient data ingestion and processing. Perform data analysis using libraries like Pandas, NumPy, and Matplotlib to identify trends, patterns, and insights. Implement data pipelines and novel machine learning algorithms for processing satellite imagery, geophysical data, and other relevant datasets using Python, PyTorch and TensorFlow. Optimize and evaluate ML models to ensure accuracy and performance. Define system requirements and integrate ML algorithms into cloud based workflows. Write clean, well-documented, and maintainable code following best practices Stay up-to-date with advancements in data science and geology, carbon sequestration and resource mapping methods. REQUIREMENTS: 2+ years of experience in data science, machine learning, or a similar role. Demonstrated expertise with python, PyTorch, and TensorFlow. Graduated/Graduating with B.Tech/M.Tech/PhD degrees in Electrical Engg./Electronics Engg./Computer Science/Maths and Computing/Geology/Physics Has done coursework in Linear Algebra, Probability, Image Processing, Deep Learning and Machine Learning. Preference will be given to candidates with background in geology, petrology, research background. WHO CAN APPLY: Only those candidates will be considered who, have relevant skills and interests can commit full time Can show prior work and deployed projects can start immediately Please note that we will reach out to ONLY those applicants who satisfy the criteria listed above. SALARY DETAILS: Commensurate with experience. JOINING DATE: Immediate Job Type: Full-time Pay: ₹20,000.00 - ₹40,000.00 per month Benefits: Flexible schedule Schedule: Day shift Evening shift Night shift Supplemental Pay: Performance bonus Application Question(s): Can you join full time ? Have you studied (or studying) at IITs/NITs/BITS/ ISM Dhanbad ? Education: Bachelor's (Required) Experience: Machine learning: 4 years (Required) Application Deadline: 15/07/2025 Expected Start Date: 21/07/2025

Data Science Intern Join us as a Data Science Intern and work on meaningful projects that turn data into actionable insights. You’ll collaborate with experienced data scientists and analysts to explore data, build dashboards, and apply statistical models to solve business problems. Key Responsibilities: Collect, clean, and preprocess structured and unstructured data. Perform exploratory data analysis (EDA) to uncover trends and patterns. Develop data visualizations using tools like Matplotlib, Seaborn, or Power BI. Build and validate statistical or predictive models using Python/R. Translate data findings into business recommendations. Work with large datasets using SQL and cloud-based platforms. Document workflows and present outcomes to stakeholders. Preferred Skills: Strong proficiency in Python and SQL Familiarity with libraries such as Pandas, NumPy, Scikit-learn, and Statsmodels Basic understanding of statistics, probability, and hypothesis testing Experience with data visualization tools (e.g., Tableau, Power BI, Plotly) Knowledge of version control systems like Git Benefits: Real-world data projects with measurable business value Guided mentorship and regular feedback sessions Exposure to analytics tools and industry practices Internship certificate and performance-based recommendation letter Possibility of pre-placement offer (PPO) Job Types: Part-time, Fresher, Internship Contract length: 3 months Pay: ₹12,000.00 - ₹35,000.00 per month Benefits: Flexible schedule Schedule: Day shift Monday to Friday Morning shift Rotational shift Weekend availability Supplemental Pay: Performance bonus Work Location: In person

Organization: At CommBank, we never lose sight of the role we play in other people’s financial wellbeing. Our focus is to help people and businesses move forward to progress. To make the right financial decisions and achieve their dreams, targets, and aspirations. Regardless of where you work within our organisation, your initiative, talent, ideas, and energy all contribute to the impact that we can make with our work. Together we can achieve great things. Job Title: Modelling and Analytics Analyst (Analyst - Credit Risk Analytics) Location: Bengaluru - Manyata Tech Park Business & Team: Risk Management is responsible for developing and deploying the risk frameworks to allow the Group to take conscious exposures to credit, market, operational, compliance and insurance risks within a Board-approved appetite. Risk Management ensures that the Group has appropriate strategies and frameworks in place to assess, manage and report on credit, market, operational, compliance and insurance risks. We do this by: Establishing frameworks to manage risks that are consistent with the Group’s business objectives; Identifying, assessing and reporting risks to the Board, Risk and Audit Committees, Executive Committee and Business Units; Assessing the impact of proposed changes in laws, regulations and industry codes; and Working collaboratively with the Business Units to achieve the optimal risk and return outcomes for the Group within the risk appetite approved by the Board. Model Development Centre of Excellence is a team within Risk Management that is responsible for developing models and performing advanced analytics across the Group to provide key risk and business insights. The team develops estimates for Probability of Default, Loss Given Default and Exposure at Default for credit portfolios, including retail and non-retail. These estimates are used across all CBA lending business units, including ASB and Bankwest. Impact & Contribution: You will be part of a skilled quantitative team serving all lending businesses across the CBA Group, and lead new initiatives contributing to the development, maintenance and enhancement of key credit risk models that are used for calculating credit risk RWA and provisioning, as well as obligor creditworthiness. You may also contribute to strategic initiatives aligned to enhancing modelling frameworks and improving the agility and efficiency of model development activities. models across the CBA Group. Roles & Responsibilities: Business Outcomes- Generating insights for CBA's credit portfolios, by building statistical models and performing analyses with sound application of advanced statistical and econometric techniques including, but not limited to, Time Series Analysis, Macroeconomic Modelling and Non-linear Regression, using R and Python; Actively contributing to projects to develop and enhance credit risk models, delivering outcomes with minimal supervision; Analysing the business impact of the models including changes to the Expected Loss, capital and Risk Weighted Assets as a result of model improvements or refreshes; Thoroughly documenting the modelling results and the thought process around the choice of modelling methodology in a concise and user-friendly form, to enable stakeholders to independently validate the final model and assess its impact; Working with the Group’s data resources, as well as key data-related projects, to obtain and prepare data for modelling purposes as required. This will involve working with SAS, Teradata SQL, or other related tools; and Interacting with stakeholders within business units and group model validation teams to seek input and share results on model development efforts as needed. Essential Skills: 1-3 years relevant experience in Credit Risk Model Development; Demonstrated skills in written and verbal communication, including ability to interpret and report complex material and make sound recommendations to a range of stakeholders; Diligent, collaborative and entrepreneurial work-style delivering error-free output using innovative techniques and working with remote and on-site teams across the unit to drive improved risk analytics; Ability to work productively as part of a team on-site, remotely and in isolation as required; Experience in modelling using R or Python, and working and maintaining datasets using Teradata SQL or Microsoft SQL is an advantage; Sound time management and prioritisation; Apply knowledge of business and regulatory drivers when analysing model outcomes; Familiarity or experience with the Basel regulatory standards and relevant APRA regulations regarding credit risk, or IFRS9 requirements for collective provisions is an advantage; A solid foundation in applying advanced mathematical and statistical techniques and familiarity/experience with relevant tools such as R and Python, conducting modelling, data manipulation and data visualization; Education Qualification: Bachelor's degree/Master’s degree/Ph.D. in Data Science, Machine Learning, Computer Science, Computational Linguistics, Statistics, Mathematics, Physics If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through Sidekick to submit a valid application. We’re keen to support you with the next step in your career. We're aware of some accessibility issues on this site, particularly for screen reader users. We want to make finding your dream job as easy as possible, so if you require additional support please contact HR Direct on 1800 989 696. Advertising End Date: 05/07/2025

About The Job The Sr. Data Scientist will be responsible for leading the data science activities for the organization to support patient recruitment delivery efforts and analyse business performance results. The individual will be responsible for managing a team of data analysts, delivering study data reconciliation results, strategizing and creating advanced reporting dashboards for executives and clients, and conducting ad hoc analyses. Key Responsibilities As a Data Scientist, you will: Develop Data Strategy: Enable the organization to maximize the impact of data-driven insights through advanced analytics. Build effective channels to capture and continuously improve strategy based on business results and stakeholder feedback. Advanced Reporting: Create and maintain advanced reporting with clear and actionable visualizations to enable stakeholder teams. Own and optimize reporting and visualization platforms and technologies. Performance Results: Ensure consistent, timely and accurate delivery of study and client results in support of the Service Delivery organization Streamline Processes: Collaborate across the organization to identify analytics processes and enable continuous improvement of activities Team Leadership: Build a team of high-performing data analysis experts, supporting their growth and career development Specific Responsibilities Manage delivery of weekly study reconciliation results, team and client reporting Support study validation activities to ensure on-time launch of projects Develop, enhance, and maintain data access for key stakeholders Create and maintain reporting for key results and business performance insights Provide expertise and strategy for data insight measurement and interpretation Optimize existing data activities to streamline processes Lead a team of data analysts, managing workload and results, providing support, and enabling career development Collaborate with leaders across the organization to understand data needs Key Qualifications 0-2 years’ experience in data science and/or advanced analytics. Bachelor’s degree or higher in data science, computer science, statistics, mathematics, or a related field Experience working in a healthcare-adjacent field is preferred Core Competencies Advanced Data Science: Comprehensive understanding of data science techniques such as programming and query languages, statistics and probability, data visualization and visualization platforms, and machine learning Collaboration: Excellent communication, collaboration, organization and time-management effectively interfacing with cross-functional stakeholders, executives, and clients Innovative Thinking: Passion for innovation and problem-solving with a commitment to delivering meaningful insights

About Junglee Games: With over 140 million users, Junglee Games is a leader in the online skill gaming space. Founded in San Francisco in 2012 and part of the Flutter Entertainment Group, we are revolutionizing how people play games. Our notable games include Howzat, Junglee Rummy, and Junglee Poker. Our team comprises over 1000 talented individuals who have worked on internationally acclaimed AAA titles like Transformers and Star Wars: The Old Republic and contributed to Hollywood hits such as Avatar. Junglee’s mission is to build entertainment for millions of people around the world and connect them through games. Junglee Games is not just a gaming company but a blend of innovation, data science, cutting-edge tech, and, most importantly, a values-driven culture that is creating the next set of conscious leaders. Job overview: As our Data Scientist III, you will be a key driver of strategic and tactical data science projects. You’ll partner closely with Product, Marketing, and Engineering teams to influence decisions and optimize outcomes using data, models, and experimentation. Job Location: Gurgaon Key Responsibilities: Lead complex analytics projects end-to-end: problem scoping, data wrangling, modeling, validation, and communication. Develop and deploy statistical models and machine learning solutions to improve core metrics (e.g., retention, monetization, user segmentation, etc.). Own experimentation and causal inference for product features (A/B testing, uplift modeling, etc.). Translate business problems into quantitative solutions and drive product and marketing roadmap with data insights. Collaborate with Data Engineering to design scalable data pipelines and ML deployment workflows. Qualifications & skills required: 5–7 years of experience in data science, preferably in B2C, gaming, consumer tech, or related industries. Strong foundation in statistics, probability, and machine learning (classification, regression, clustering, time-series, etc.). Hands-on experience with Python/R and SQL. Experience with tools like Airflow, Spark, DBT, or similar is a plus. Experience designing and analyzing experiments (A/B testing, DoE). Strong problem-solving mindset with a focus on impact and ownership. Excellent communication skills; ability to simplify complex findings for non-technical stakeholders. Be a part of Junglee Games to: Value Customers & Data - Prioritize customers, use data-driven decisions, master KPIs, and leverage ideation and A/B testing to drive impactful outcomes. Inspire Extreme Ownership - We embrace ownership, collaborate effectively, and take pride in every detail to ensure every game becomes a smashing success. Lead with Love - We reject micromanagement and fear, fostering open dialogue, mutual growth, and a fearless yet responsible work ethic. Embrace change - Change drives progress and our strength lies in adapting swiftly and recognizing when to evolve to stay ahead. Play the Big Game - We think big, challenge norms, and innovate boldly, driving impactful results through fresh ideas and inventive problem-solving. Avail a comprehensive benefits package that includes paid gift coupons, fitness plans, gadget allowances, fuel costs, family healthcare, and much more. Know more about us Explore the world of Junglee Games through our website, www.jungleegames.com . Get a glimpse of what Life at Junglee Games looks like on LinkedIn . Here is a quick snippet of the Junglee Games Offsite’24 Liked what you saw so far? Be A Junglee

Role: On site: Noida Location Shift: US Shift (PST Zone) Timing: During Probation: 2:00 pm IST - 11:00 pm IST After Probation: 6:30 pm IST - 3:30 am IST (Note: Probation will be 03-06 months) Job Overview: We are seeking a motivated and results-driven Lead Generation Specialist to join our dynamic sales team at Threatcop. The Lead Generation Specialist will generate and nurture B2B leads through various outreach methods, including cold calling , cold emailing, and LinkedIn messaging. A key part of the role will involve leveraging advanced email marketing strategies, such as SPF, DKIM, DMARC, email warmup, and crafting B2B personas for targeted email sequences. Key Responsibilities: Generate SQL (sales-qualified lead) , a lead that has a high probability of converting into a customer using outbound cold calls , emails, and LinkedIn messaging, specifically targeting cybersecurity products and services. Implement SPF, DKIM, and DMARC for deliverability, conduct email warmup for sender reputation, develop B2B personas for targeted outreach, and create automated email sequences to nurture prospects. Design and execute targeted cold email campaigns, using LinkedIn for lead identification and engagement. Use the BANT (Budget-Authority-Need-Time) framework to qualify leads and schedule meetings or calls for the sales team. Track interactions and maintain accurate lead data in the CRM, ensuring all progress and metrics are recorded for reporting purposes. Consistently meet or exceed monthly and quarterly lead-generation goals and appointment-setting targets. Conduct in-depth research to identify high-growth industries and customer segments in cybersecurity and networking markets. Develop a comprehensive business development strategy to build and maintain a strong sales pipeline. Represent Threatcop at industry events, building relationships with key stakeholders, and driving partnerships. Requirements: Bachelor's or Master’s degree in Technology (B.Tech/BCA/M.Tech/MCA) or a related field. 2+ years of experience in B2B lead generation. Must be comfortable and skilled in conducting high-volume cold calls to potential prospects Hands-on experience with implementing SPF, DKIM, and DMARC for email deliverability, performing email warmups, and creating targeted B2B personas. Must possess full proficiency in both spoken and written English to communicate effectively with prospects and clients. Proficiency with CRM tools, email marketing platforms, and LinkedIn for lead generation and outreach. Why You'll Enjoy Working at Threatcop: Working with us allows you to gain hands-on experience and training on various industry-leading tools for database management and prospecting. Tools such as ZOHO CRM, Lusha, Apollo.io, Notion, LinkedIn Sales Navigator, and more will be at your disposal, empowering you to enhance your skills and streamline your work. Get the fast learning and exciting environment of a startup, combined with the stable work and strong performance of a bigger company. There's lots of room to learn, grow, and share your ideas. We also provide good benefits like health insurance, a gratuity payment, and Employees' Provident Fund (a savings plan for your future). We are an equal opportunity employer, where everyone has a fair chance. About Us: Threatcop Inc. is a leading People Security Management(PSM) company and a sister concern of Kratikal. Threatcop helps organizations reduce the impacts of cyber threats by strengthening the cybersecurity posture of employees. With a focus on reducing social engineering and email-based attacks, we transform employees from the weakest link to the strongest line of defense. Serving over 250+ large enterprises and 600+ SMEs across 30+ countries , Threatcop assists clients in sectors such as E-commerce, Finance, BFSI, Healthcare, Manufacturing, and Telecom with clients like Axis Bank, Gail India, ONGC, MaxLife Insurance, Daman Insurance, UNICOIL, NPCI, Tata Consumer Products and many others. We are a USA-based company, headquartered in Noida with offices in Mumbai, Pune, Bangalore, Chennai, Dubai, and Riyadh. We use the A-A-P-E (Assess, Aware, Protect, Empower) framework to deliver effective products such as TSAT, TLMS, TDMARC and TPIR to tackle evolving cyberthreats. By focusing on preventing human error, our People Security Management (PSM) approach empowers organizations to foster a culture of cybersecurity awareness to tackle modern cyber threats. For more details, visit us at: www.threatcop.com

About Us At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the world’s largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for. The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies. We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society’s evolving needs. Learn more about our What and our Why and how we can work together . ExxonMobil’s affiliates in India ExxonMobil’s affiliates have offices in India in Bengaluru, Mumbai and the National Capital Region. ExxonMobil’s affiliates in India supporting the Product Solutions business engage in the marketing, sales and distribution of performance as well as specialty products across chemicals and lubricants businesses. The India planning teams are also embedded with global business units for business planning and analytics. ExxonMobil’s LNG affiliate in India supporting the upstream business provides consultant services for other ExxonMobil upstream affiliates and conducts LNG market-development activities. The Global Business Center - Technology Center provides a range of technical and business support services for ExxonMobil’s operations around the globe. ExxonMobil strives to make a positive contribution to the communities where we operate and its affiliates support a range of education, health and community-building programs in India. Read more about our Corporate Responsibility Framework. To know more about ExxonMobil in India, visit ExxonMobil India and the Energy Factor India. ExxonMobil is organizing scheduled in-person interviews at Gurugram on 2nd & 3rd Aug 2025 for Reliability Engineer roles. Work Location: Bengaluru (Last date to apply is 25th July 2025) Note: Shortlisted candidates will receive an interview invitation letter from recruiting team What Role You Will Play In Our Team Reliability Engineer at Bangalore Technical Center (BTC) will provide Reliability support to ExxonMobil Upstream, Midstream and Downstream Assets across the globe What You Will Do Knowledgeable and hands on practice in performing the below activities: Criticality Assessment Equipment Strategy development – Fleet based, RCM Based Data analysis techniques that can include: Reliability modeling and prediction Fault Tree Analysis Weibull Tree Analysis Root-Cause Failure Analysis Single Point of Failure studies LCCA (Life Cycle cost Analysis) Unplanned Volume Loss Analysis RAM Analysis Reliability Analytics PMO- PM Optimization Work with Project Reliability/Engineering to ensure the reliability and maintainability of new and modified installations. Guide efforts to ensure reliability and maintainability of equipment, processes, utilities, facilities, controls, and safety/security systems. Professionally and systematically define, design, develop, monitor, and refines an Annual Maintenance Plan Experience in value-added preventive maintenance tasks Effective utilization of predictive and other non-destructive testing methodologies designed to identify and isolate inherent reliability problems. Provide input to a Risk Management Plan that will anticipate reliability-related, and non-reliability-related risks that could adversely impact plant operation. Develop engineering solutions to repetitive failures and all other problems that adversely affect plant operations. These problems include capacity, quality, cost or regulatory compliance issues. Works with site team to perform analyses of assets including: Asset Utilization Overall Equipment Effectiveness Remaining useful life Other parameters that define operating condition, reliability, and costs of assets Provide technical support to production, maintenance management and technical personnel About You Skills and Qualifications. Bachelor’s degree in electrical, Mechanical, Instrumentation Engineering, Chemical, Reliability from recognized university Minimum 3 years of experience in Reliability/ electrical/ Mechanical/ Instrumentation Engineering/ Chemical in manufacturing sector (Preferably Oil& Gas, Chemicals, Energy, Fertilizers, Automobiles). Demonstrate effective communication, facilitation skills. Work Experience in Oil and Gas/Energy sector field. Experience using statistical and probability methods and tool Problem-solving Critical thinking Analytics Logical thinking Exceptional organizational and communication skills Proven leadership skills Ability to multitask and prioritize workloads Preferred Qualifications/Experiences Knowledge of reliability engineering concepts such as Reliability centered maintenance, lifecycle asset management, risk management, criticality assessment, equipment strategies, RCFA, Bad Actor identifications, Single Point of failure studies, Life cycle cost analysis (LCCA). Should have done RCM/Criticality Assessment, RAM, Equipment Strategies before Should not have attended an interview for Reliability Engineer position in the last 1 year. Your Benefits An ExxonMobil career is one designed to last. Our commitment to you runs deep: our employees grow personally and professionally, with benefits built on our core categories of health, security, finance and life. We offer you: Competitive compensation Medical plans, maternity leave and benefits, life, accidental death and dismemberment benefits Retirement benefits Global networking & cross-functional opportunities Annual vacations & holidays Day care assistance program Training and development program Tuition assistance program Workplace flexibility policy Relocation program Transportation facility Please note benefits may change from time to time without notice, subject to applicable laws. The benefits programs are based on the Company’s eligibility guidelines. Stay connected with us Learn more about ExxonMobil in India, visit ExxonMobil India and Energy Factor India. Follow us on LinkedIn and Instagram Like us on Facebook Subscribe our channel at YouTube EEO Statement ExxonMobil is an Equal Opportunity Employer: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin or disability status. Business solicitation and recruiting scams ExxonMobil does not use recruiting or placement agencies that charge candidates an advance fee of any kind (e.g., placement fees, immigration processing fees, etc.). Follow the LINK to understand more about recruitment scams in the name of ExxonMobil. Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship. Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.

About the job About us We are surrounded by the world's leading consumer companies led by technology - Amazon for retail, Airbnb for hospitality, Uber for mobility, Netflix and Spotify for entertainment, etc. Food & Beverage is the only consumer sector where large players are still traditional restaurant companies. At Rebel Foods, we are challenging this status quo as we are building the world's most valuable restaurant company on the internet, superfast. The opportunity for us is immense due to the exponential growth in the food delivery business worldwide which has helped us build 'The World's Largest Internet Restaurant Company' in the last few years. Rebel Foods' current presence is India, Indonesia, UAE, UK & KSA with close to 50 brands and 4500+ internet restaurants has been built on The Rebel Operating System . While for us it is still Day 1, we know we are in the middle of a revolution towards creating never seen before customer-first experiences. We bring you a once-in-a-lifetime opportunity to disrupt the 500-year-old industry with technology at its core. Job Description We are looking f or a Data Scienti st-II to join our Data Science & Analytics (DSA) Team. You will get to work with other data scientists, analysts, data engineers, PMs and business teams on some of the toughest and most interesting problems in our industry. Our work spans across areas of inventory forecasting, order predictions, marketing spend optimization, delivery time prediction, personalization, customer insighting, product recommendations, supply chain planning, capacity optimization, and more. The role will involve understanding business problems, designing relevant ML solutions, building & deploying new models, maintaining & enhancing existing models, and automating performance measurement of the same. We are looking for someone who is excited to work in a fast-growing industry, has a spirit of ownership & collaboration, and loves seeing the impact of what they have built at scale! What our team owns at Rebel, the Data Science & Analytics team builds and maintains all ML models, rule-based intelligence, automated reports and dashboards used by the organization. We are on a mission to drive business impact via ML and Data Science and grow adoption of these areas at Rebel. We also want to enable the organization to better understand and effectively use ML and DS. We interact with teams across every business area such as Supply, Operations, Demand Generation, D2C, Finance, Brands, Customer Delight, Central Planning and many more. We are never short of interesting challenges and we balance delivering continuous impact and great CX, while building strong foundations to drive sustainable ML returns overtime. Specific Qualifications Strong working knowledge of a variety of machine learning techniques (Regression, Classification,Clustering, Decision Tree, Probability Networks, Neural Networks, Bayesian models etc.) Proficient in Python, SQL, and machine learning libraries (e.g., TensorFlow,scikit-learn). Experience in working with varied data types (structured and unstructured) and databases Experience with Machine Learning and related technologies such as Python, Tensorflow, Amazon SageMaker Excellent problem-solving skills with a demonstrated ability to think analytically and strategically. Good-to-have Experience solving NLP-based problems or working with LLMs / prompt engineering Working with non-tech stakeholders and explaining ML performance in simple language A love of food (Yes, we have regular tasting sessions at office!) Share across your cv's to v-noor.fazilath@rebelfoods.com

Role**: Digital : Data Science Required Technical Skill Set: Data Scientist Desired Experience Range: 03 - 08 yrs Notice Period: Immediate to 30Days only Location of Requirement: Hyderabad/Kolkata/Bangalore/Chennai/Pune We are currently planning to do a Virtual Interview Job Description: Must-Have** (Ideally should not be more than 3-5) Proficiency in Python or R for data analysis and modeling. Strong understanding of machine learning algorithms (regression, classification, clustering, etc.). Experience with SQL and working with relational databases. Hands-on experience with data wrangling, feature engineering, and model evaluation techniques. Experience with data visualization tools like Tableau, Power BI, or matplotlib/seaborn. Strong understanding of statistics and probability. Ability to translate business problems into analytical solutions. Good-to-Have Experience with deep learning frameworks (TensorFlow, Keras, PyTorch). Knowledge of big data platforms (Spark, Hadoop, Databricks). Experience deploying models using MLflow, Docker, or cloud platforms (AWS, Azure, GCP). Familiarity with NLP, computer vision, or time series forecasting. Exposure to MLOps practices for model lifecycle management. Understanding of data privacy and governance concepts. SN Responsibility of / Expectations from the Role 1 Work with stakeholders to identify business requirements and opportunities for leveraging data. Design and implement advanced analytics models using machine learning and statistical techniques. Clean, process, and analyze large datasets from various sources (structured & unstructured). Develop, test, and deploy predictive models and data pipelines. Create data visualizations, dashboards, and reports to communicate insights to non-technical users. Collaborate with data engineers, analysts, and product teams to integrate models into production environments. Monitor and continuously improve model performance. Stay up-to-date with latest research, tools, and techniques in data science and AI.

Requirements Advanced understanding of supervised, unsupervised, and reinforcement learning. Familiarity with deep learning frameworks. Current experience in GenAI, RAG, and advanced RAG techniques like RAGA, Query expansion, KGRAG, etc. Strong knowledge of statistical modeling, hypothesis testing, and data exploration techniques. Proficiency in Python, along with experience in MongoDB. Understanding of code optimization and clean coding practices is important. Solid foundation in probability, linear algebra, calculus, and statistical inference. Experience in deploying machine learning models in production environments and familiarity with Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure). Experience in leading data science and ML teams, including mentoring junior scientists and fostering a collaborative environment. Ability to manage projects, define milestones, ensure timelines are met, and communicate progress to stakeholders. Collaborating with software engineers and product managers to ensure alignment between our solutions and business goals. Understanding the company's overall business strategy and being able to align data science initiatives to support these objectives. Ability to translate complex ML/GenAI concepts into actionable insights for non-technical stakeholders. Experience in creating clear, thorough documentation for products/projects and experiments. Keeping up with the latest research, tools, and trends in data science and machine learning, especially in the area of GenAI, RAG, etc. Identifying and addressing complex data and business challenges, often through novel AI/ML approaches or hybrid solutions. This job was posted by Karthick Muthuraj from Contentstack.

About This Role As a Staff AI Engineer you will get to play with petabyte data gathered from a multitude of data sources including Balbix proprietary sensors and 3rd party threat feeds. You will leverage a variety of AI techniques including deep learning, probabilistic graphical models, graph learning, recommendation systems, reinforcement learning, NLP, etc. And of course, you will be part of a team building a world-class product addressing one of the grand challenges in the technology industry. DATA SCIENCE AT BALBIX At Balbix we believe in using the right algorithms and tools to ensure correctness, performance and deliver an excellent user experience. We draw boldly from the latest in AI/ML research but are unafraid to go beyond bayesian inference and statistical models if the situation demands it. We are generalists, caring as much about storytelling with data, as about bleeding edge techniques, scalable model training and deployment. We are building a data science culture with equal emphasis on knowing our data, grokking security first principles, caring about customer needs, explaining our model predictions, deploying at scale, communicating our work, and adapting the latest advances. We look out for each other, enjoy each others’ company, and keep an open channel of communication about all things data and non-data. You Will Design and develop an ensemble of classical and deep learning algorithms for modeling complex interactions between people, software, infrastructure and policies in an enterprise environment Design and implement algorithms for statistical modeling of enterprise cybersecurity risk Apply data-mining, AI and graph analysis techniques to address a variety of problems including modeling, relevance and recommendation. Build production quality solutions that balance complexity and performance Participate in the engineering life-cycle at Balbix, including designing high quality ML infrastructure and data pipelines, writing production code, conducting code reviews and working alongside our infrastructure and reliability teams Drive the architecture and the usage of open source software library for numerical computation such as TensorFlow, PyTorch, and ScikitLearn You Are Able to take on very complex problems, learn quickly, iterate, and persevere towards a robust solution Product-focused and passionate about building truly usable systems Collaborative and comfortable working across teams including data engineering, front end, product management, and DevOps Responsible and like to take ownership of challenging problems A good communicator, and facilitate teamwork via good documentation practices Comfortable with ambiguity and thrive in designing algorithms for evolving needs Intuitive in using the right type of models to address different product needs Curious about the world and your profession, constant learner You Have A Ph.D./M.S. in Computer Science or Electrical Engineering with hands-on software engineering experience 5+ years of experience in the field of Machine Learning and programming in Python. Expertise in programming concepts and building large scale systems. Knowledge of state-of-the-art algorithms combined with expertise in statistical analysis and modeling. Robust understanding of NLP, Probabilistic Graphical Models, Deep Learning with graphs structures, model explainability, etc. Foundational knowledge of probability, statistics and linear algebra

Who We Are At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. The Role As a Data Scientist at Kyndryl you are the bridge between business problems and innovative solutions, using a powerful blend of well-defined methodologies, statistics, mathematics, domain expertise, consulting, and software engineering. You'll wear many hats, and each day will present a new puzzle to solve, a new challenge to conquer. You will dive deep into the heart of our business, understanding its objectives and requirements – viewing them through the lens of business acumen, and converting this knowledge into a data problem. You’ll collect and explore data, seeking underlying patterns and initial insights that will guide the creation of hypotheses. Analytical professional who uses statistical methods, machine learning, and programming skills to extract insights and knowledge from data. Their primary goal is to solve complex business problems, make predictions, and drive strategic decision-making by uncovering patterns and trends within large datasets. In this role, you will embark on a transformative process of business understanding, data understanding, and data preparation. Utilizing statistical and mathematical modeling techniques, you'll have the opportunity to create models that defy convention – models that hold the key to solving intricate business challenges. With an acute eye for accuracy and generalization, you'll evaluate these models to ensure they not only solve business problems but do so optimally. Additionally, you're not just building and validating models – you’re deploying them as code to applications and processes, ensuring that the model(s) you've selected sustains its business value throughout its lifecycle. Your expertise doesn't stop at data; you'll become intimately familiar with our business processes and have the ability to navigate their complexities, identifying issues and crafting solutions that drive meaningful change in these domains. You will develop and apply standards and policies that protect our organization's most valuable asset – ensuring that data is secure, private, accurate, available, and, most importantly, usable. Your mastery extends to data management, migration, strategy, change management, and policy and regulation. Key Responsibilities: Problem Framing: Collaborating with stakeholders to understand business problems and translate them into data-driven questions. Data Collection and Cleaning: Sourcing, collecting, and cleaning large, often messy, datasets from various sources, preparing them for analysis. Exploratory Data Analysis (EDA): Performing initial investigations on data to discover patterns, spot anomalies, test hypotheses, and check assumptions with the help of summary statistics and graphical representations. Model Development: Building, training, and validating machine learning models (e.g., regression, classification, clustering, deep learning) to predict outcomes or identify relationships. Statistical Analysis: Applying statistical tests and methodologies to draw robust conclusions from data and quantify uncertainty. Feature Engineering: Creating new variables or transforming existing ones to improve model performance and provide deeper insights. Model Deployment: Working with engineering teams to deploy models into production environments, making them operational for real-time predictions or insights. Communication and Storytelling: Presenting complex findings and recommendations clearly and concisely to both technical and non-technical audiences, often through visualizations and narratives. Monitoring and Maintenance: Tracking model performance in production and updating models as data patterns evolve or new data becomes available. If you're ready to embrace the power of data to transform our business and embark on an epic data adventure, then join us at Kyndryl. Together, let's redefine what's possible and unleash your potential. Your Future at Kyndryl Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won’t find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here. Who You Are You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others. Required Technical and Professional Expertise 8 - 10 years of experience as an Data Scientist . Programming Languages: Strong proficiency in Python and/or R, with libraries for data manipulation (e.g., Pandas, dplyr), scientific computing (e.g., NumPy), and machine learning (e.g., Scikit-learn, TensorFlow, PyTorch). Statistics and Probability: A solid understanding of statistical inference, hypothesis testing, probability distributions, and experimental design. Machine Learning: Deep knowledge of various machine learning algorithms, their underlying principles, and when to apply them. Database Querying: Proficiency in SQL for extracting and manipulating data from relational databases. Data Visualization: Ability to create compelling and informative visualizations using tools like Matplotlib, Seaborn, Plotly, or Tableau. Big Data Concepts: Familiarity with concepts and tools for handling large datasets, though often relying on Data Engineers for infrastructure. Domain Knowledge: Understanding of the specific industry or business domain to contextualize data and insights. Preferred Technical And Professional Experience Degree in a scientific discipline, such as Computer Science, Software Engineering, or Information Technology Being You Diversity is a whole lot more than what we look like or where we come from, it’s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we’re not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you – and everyone next to you – the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That’s the Kyndryl Way. What You Can Expect With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter – wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed. Get Referred! If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address.

PhD position available in Applied Machine Learning, Reinforcement Learning, Optimization, and Control applied to energy arbitrage, sustainable energy systems, and managing renewable uncertainties via battery storage. Faculty: Dr. Vivek Deulkar Research area(s): Applied Machine Learning, Reinforcement Learning, Optimization, and Control applied to energy arbitrage, sustainable energy systems, and managing renewable uncertainties in a smart grid. Project overview: The work involves addressing challenges such as mitigating uncertainties in renewable generation with battery storage systems, achieving energy-efficient and carbon-efficient operation of HVAC and other electrical appliances to reduce peak energy loads and carbon footprint (thus obtaining sustainable and decarbonized energy consumption), and the use of battery storage systems for energy arbitrage. The selected candidate will have the flexibility to focus on one or more of these challenges, depending on interest and expertise. The work will involve tools and techniques from machine learning, reinforcement learning, stochastic modeling (including applied probability and Markov chains), optimization, and control theory. Desired candidate profile: We are looking for a motivated candidate who possesses: A strong foundation in mathematics A willingness to learn and apply methods from reinforcement learning, machine learning, probability, and sequential decision-making An interest in solving real-world energy problems through advanced computational and analytical methods Required qualifications and skills: A Master’s degree or a four-year Bachelor’s degree in Mathematics, Electrical Engineering, Electronics, Communication, Computer Science, or a related discipline. A strong background in mathematics. Candidates with prior exposure to reinforcement learning, machine learning, and applied probability are strongly encouraged to apply. Proficiency in programming in Python or MATLAB. More details about the eligibility criteria can be found here: https://plaksha.edu.in/phd How to apply: If interested, feel free to write an email to me (vivek.deulkar@plaksha.edu.in) for any queries. I will be happy to have a conversation with you. You can formally apply at https://plaksha.edu.in/phd (keep me in cc when you apply).

- Deep experience in design/implementation/consulting experience of Machine Learning/AI/Deep Learning/Gen AI solutions - Strong understanding and experience in the field of AI and related technologies, including deep learning and overall machine learning concepts. Deep experience developing AI models in real-world environments. - Strong understanding of Gen AI technologies. Having worked with both structured and unstructured data in the past to gain effective insights. - Solid grounding in statistics, probability theory, data modelling, machine learning algorithms and software development techniques and languages used to implement analytics solutions AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. Are you a customer-obsessed builder with a passion for helping customers achieve their full potential? Do you have the business savvy, Generative AI (GenAI) background, and tech skills necessary to help position AWS as the cloud provider of choice for customers? Do you love building new strategic and data-driven businesses? Join the Specialist Organization GenAI team as a Specialist Solutions Architect! Key job responsibilities Build and maintain technical trusted advisor relationships with influential technical decision makers for the successful adoption and deployment of AWS Gen AI services Architect solutions leveraging AWS Gen AI services, working with our customers to deeply understand their business needs and to design a technical solution that takes best advantage of the AWS Cloud platform and Gen AI Services. Thought Leadership – Craft & develop compelling audience-specific messages and tools (product videos, customer success stories, demos, whitepapers, presentations, how to guides etc.) Present AWS services and technologies through forums such as AWS Blogs, Whitepapers, Reference architectures and Public-Speaking events such as AWS Summit and User-Group events. Capture and share best practices and insights internally and with partners and customers. Develop and support an AWS internal community of AI related Subject Matter Experts · Collaborate with business development, professional services, training and support teams to help partners and customers learn and effectively use AWS services. Serve as a key member of the business development and account management team helping to ensure customer success on the AWS platform. Act as a technical liaison between customers, service engineering teams and support. Provide updates on customer progress and ensure plan execution by partners. About the team Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. History of successful technical consulting and/or architecture engagements with large-scale customers or enterprises. Experience migrating or transforming legacy customer solutions to the cloud. Familiarity with common enterprise services. Presentation skills with a high degree of comfort speaking with executives, IT Management, and developers. Strong written communication skills. Working knowledge of software development tools and methodologies. Experience working within software development or Internet-related industries. AWS Solution Architecture certification or relevant cloud expertise. Computer Science /relevant degree and/or experience highly desired Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Job Description Join our dynamic and growing team in Internal Audit and get an opportunity to work with multiple line of business. Job Summary As a Commercial Investment Banking Audit Vice President, within the Audit team you will develop and execute the annual audit plan, manage audit engagements, oversee and perform audit testing, and participate in applicable control and governance forums. Job Responsibilities Lead and participate on audit engagements, from planning to reporting, and produce quality deliverables to both department and professional standards, while ensuring audits are completed timely and within budget Work closely with global Audit colleagues in the early identification of emerging control issues, and report them in a timely manner to Audit management and business stakeholders Recognize the confidential nature of Internal Audit communications and access to information; exercise discipline in protecting the confidentiality and security of information in accordance with firm policy Partner with stakeholders, business management, other control groups (i.e. risk management, compliance, fraud prevention), external auditors, and regulators, establishing strong working relationships while maintaining independence Finalize audit findings and use judgment to provide an overall opinion on the control environment by developing recommendations to strengthen internal controls and communicate audit findings to management, and identify opportunities for improvement in the design and effectiveness of key controls Implement and execute an effective program of continuous auditing for assigned areas, including monitoring of key metrics to identify control issues and adverse trends Stay up-to-date with evolving industry/regulatory changes impacting the business and participate in appropriate control forums Champion a culture of innovation and follow the firm’s 'How We Do Business' Principles Find ways to drive efficiency with existing technical infrastructure through automation while embracing the innovative opportunities offered by new technologies Required Qualifications, Capabilities And Skills Minimum 7 years of internal or external auditing experience, or relevant business experience Bachelor's degree (or relevant financial services experience) required Experience with internal audit methodology and applying concepts in audit delivery and execution Solid understanding of internal control concepts, with the ability to evaluate and determine the adequacy of controls by considering business and technology risks in an integrated manner Excellent written, verbal, and presentation skills; adept at presenting complex and sensitive issues to senior management Strong interpersonal and influencing skills, with the ability to establish credibility and build partnerships with senior business and control partners Strong analytical skills, particularly in regard to assessing the probability and impact of an internal control weakness Enthusiastic and self-motivated, with a keen interest in learning; effective under pressure and willing to take personal responsibility/accountability Flexible to changing business priorities and ability to multitask in a constantly changing environment Willing to travel as needed Preferred Qualifications, Capabilities And Skills CPA, CIA, and/or Advanced Degree in Finance or Accounting is preferred ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success. The Audit department provides independent assessments to evaluate, test and report on the adequacy and effectiveness of our governance, risk management and internal controls. The team’s priorities are focused on strong governance, transparency, strategic engagement, and fostering a diverse and inclusive culture that develops our talent.

————————————————————————————————————— Business Development + Product Management (Surfactants) Godrej Industries Limited (Chemicals) Mumbai, Maharashtra, India ————————————————————————————————————— Job Title: Business Development + Product Management (Surfactants) Job Type: Permanent, Full-time Function: Sales Business: Godrej Industries Limited (Chemicals) Location: Mumbai, Maharashtra, India About Godrej Industries Group (GIG) At the Godrej Industries Group, we are privileged to serve over 1.1 billion consumers globally through our businesses with market leadership positions in the consumer products, real estate, agriculture, financial services and chemicals industries. https://www.godrejindustries.com/ About Godrej Industries Limited (Chemicals) Godrej Industries Limited (Chemicals Division) is one of the oldest businesses of the Godrej Group with a rich legacy and a pioneering presence in the Chemicals Industry. We proactively collaborate with our partners to create sustainable solutions in the Oleochemicals, Surfactants, Speciality Chemicals and Biotech business segments. https://www.godrejchemicals.com/ About the role The incumbent will be managing set of key accounts for all products portfolio at Godrej Industries Ltd - Chemicals business, Primarily Surfactants & also carry out Business Development & Product Management. Key Responsibilities Key Account Management: Manage set of key accounts for all product portfolio (Oleo chemicals, derivatives , Specialty chemicals etc. Having major focus on Surfactants) Establish contact with various departments of the customer ex R&D, purchase, marketing, operations. The incumbent should be able to understand the potential of key accounts and our market share. Analyzing our position in the customer’s wallet and devising ways to increase it. Keeping track of market trends, keeping a close watch on new product launches at the customer’s end. Establish contact with all the locations of the key accounts at Godrej industries ltd chemicals. Ensure no overdue within the area of responsibility, closely monitor customer payment status and credit notes to be issued. Establishing, maintaining, and developing customer relationship, under the management of Sales & marketing Managing all customer complaints with respect to all Key accounts with the support from Godrej technical & commercial team Closely monitoring market behavior, competition climate, demand and supply position, pricing trends to be on top of business environment, share intel with the Management team and Business intelligence. Identify and capture opportunities of key accounts, develop and track Sales and probability funnels. Responsible for building and maintaining strong and long-term relationships with clients/Key Accounts and generating incremental value and volume sales. Management of Large Accounts to meet account expansion goals. Manage the full sales cycle from prospecting, negotiating, to closing the deal. Establish sales objectives by forecasting & developing annual sales, projecting expected sales volumes & profit for new & existing key accounts. Product Management: Accountable for planning, forecasting, purchasing, and customer coordination to achieve profit targets. Conduct monthly forecasting, customer-wise costing, price policy formulation, and raw material planning. Support business managers in managing sales and distribution networks to achieve sales targets and profitability through value selling. Collaborate closely with customers to gather market insights and address queries and complaints. Coordinate with internal and external stakeholders for end-to-end supply chain control. Manage long-term bids and supply chain management for MNC sales. Perform data mining and analysis for effective decision-making across the business portfolio. Business Development Keep abreast with Surfactants market. Should keep track of trends, prospective customers. Hunting for new customers /new products (which Godrej is not making but check possibility of making them)/ new segments/new applications for Surfactants business across the globe Identify, quantify and expand the business by acquiring new customers (Business development) For this need to closely work with customer’s R & D/ Operations team & also Godrej’s technical team/factory/QA Develop new accounts, add new products to existing accounts by getting customer approvals for Godrej products to meet individual & group targets. Innovative approach in business operation with respect to changing and new market trends Analyze industry and compare firm’s products with that of competitors. Participate in business exhibitions & attend conferences. Maintaining cordial relations with customers to sustain long-term profitable growth. Managing all customer complaints with respect to all Key accounts with the support from Godrej technical & commercial team Monitor the service and customer complaints to maximize customer satisfaction level. Manage & maintain the developed business accounts for repeat sales, Customer complaints & build long term relationship with these accounts Critical Skill Strategic agility; understanding International & Domestic Business trends. Excellent B2B selling skills, including key account management & Business development Strong Communication & interpersonal skills. Ability to influence without authority. Innovative thinking & proactive approach. Good negotiation skills. Strong technical orientation to understand our product lines. Strong business acumen and good financial understanding. Executive presence to build top-top customer relationships. Who are we looking for? Education: B. Tech /BE in Chemical + MBA (Preferred) Experience: Key account management Skills & manage large customers/Business development 10-12 Years of experience What’s in it for you? Be an equal parent Childcare benefits for the birthing parent, commissioning parent (in case of surrogacy) or adoptive parent, and their partners 6 months of paid leave for primary caregivers, flexible work options on return for primary caregivers 2 months paid leave for secondary caregivers Caregiver travel for primary caregivers to bring a caregiver and children under a year old, on work travel Coverage for childbirth and fertility treatment No place for discrimination at Godrej Gender-neutral anti-harassment policy Same sex partner benefits at par with married spouses Coverage for gender reassignment surgery and hormone replacement therapy Community partnerships and advocacy Persons with Disability (PwD) care We are selfish about your wellness Comprehensive health insurance plans, as well as accident coverage for you and your family, with top-up options Elder care for those who might need to extend support to senior family members Preventative healthcare support Outpatient Department (OPD) coverage, including vaccinations, dental, vision, etc. Uncapped sick leave Flexible work options, including remote working and part-time work Mental wellness and self-care programmes, resources and counselling Celebrating wins, the Godrej Way Structured recognition platforms for individual, team and business-level achievements Digital and offline instant recognition platforms An inclusive Godrej Before you go, there is something important we want to highlight. There is no place for discrimination at Godrej. Diversity is the philosophy of who we are as a company. And has been for over a century. It’s not just in our DNA and nice to do. Being more diverse - especially having our team members reflect the diversity of our businesses and communities - helps us innovate better and grow faster. We hope this resonates with you. We take pride in being an equal opportunities employer. We recognize merit and encourage diversity. We do not tolerate any form of discrimination on the basis of nationality, race, colour, religion, caste, gender identity or expression, sexual orientation, disability, age, or marital status and ensure equal opportunities for all our team members. If this sounds like a role for you, apply now! We look forward to meeting you.

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Your role This opportunity is with Business Technology practice at Capgemini India Invent team. The Future of Technology practice is focused on helping businesses capture the possibilities of emerging technology by creating tailored solutions for every type of business and sector. In this role, consultants need to work as the Scrum Master, Agile Consultant • Facilitate cross-functional engineering teams in the delivery and implementation of new products or upgrades to existing products. There is an on-front expectation that this accountability can span up to two distinct Agile teams. Develop detailed schedules, project estimates, resource plans, and status reports, conduct project meetings and ensure adherence to quality standards. Maintain multiple-sprint release plans, release trajectory and release burndown based on capacity and velocity predictions. Facilitates cross-team, program wide rituals, like release planning or program retrospectives. Promote continuous improvement and help teams increase efficiency to maximize capacity, promote predictability and assure software and process quality. Establish team working agreements, help resolve impediments, facilitate productivity, and increase the probability of success in each sprint. Provide visibility of team status and issues to senior management. Promote a collaborative team environment that fosters creativity, innovation and commitment to objectives. Work closely with product owner towards the success of the product release. Your Profile 1. Experience of agile methodologies such as Scrum, Kanban, etc and knowledge of scaled frameworks like SAFe etc. 2. Experience in tracking and publishing different metrics regularly to various stakeholders like Sprint reports, Status, burndown charts, velocity etc. 3. Moderation skill to organize and implement and lead all scrum ceremonies 4. Demonstrated experience with software estimation and planning techniques 5. Guiding the team and organization on how to use Agile/Scrum practices and values to deliver quality software. 6. Assessing the Scrum Maturity of the team and organization and coaching the team to higher levels of maturity, at a pace that is sustainable and comfortable for the team and organization 7. Ability to implement Scrum Framework from scratch. • Must have one certificate (PSM-1/CSM/Any) Expertise in 1 or more of the Agile Lifecycle Management tools – JIRA, Rally, Azure DevOps Awareness on Scaled Agile configurations At least one of the Relevant certifications in Scaled Agile – SAFe Scrum Master, SAFe for Teams, etc Knowledge on DevOps concepts - Continuous integration, Continuous Testing, Continuous delivery. Base location will be Pune / Bangalore / Gurgaon Project could be at any location in India or outside India [flexibility to travel is necessary] 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. 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 fuelled 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.

Job Detail Job ID 13530 Offered Salary 5714 Career Level Officer Experience 5 Years Gender Male Industry Medical Health Care Job Description Qualifications Degree Bachelor 105 Job Vacancy Alert for Qatar: Now Apply for Online Jobs. On Tuesday, Kerala-based Malabar Gold & Diamonds launched recruitment to fill more outstanding vacancies in its retail operations in India. The latest vacancies are in retail jewellery revenue, shop operations, and accounting across India. These openings are for admirable female candidates. They include construction, agenda advertising, jewellery artisans, chain administration, affairs, challenge beheading, finance and debt, business analytics, and an IT job vacancy in Coimbatore. Job Vacancy Alert for Qatar. Almost all these roles are based primarily at the enterprise’s world headquarters in Kozhikode. The company also offers regional job vacancies in Bengaluru, Chennai, Hyderabad, Mumbai, and Kolkata. This recruitment pressure responds to our vision to become the world’s leading responsible retailer. Our duty towards society has helped us make these well-paying jobs a reality. He added that the company is excited about the BOOM plans and invites professionals nationwide to join the Malabar family unit Job Vacancy Dubai. There is a Job Vacancy Alert for positions at the Post Office. As part of our progress to become a probability application provider, the women absorbed multiple positions in earnings, guest relations, and retail operations; the emphasis is on featuring the options of qualified female students from hospitality backgrounds. Job Vacancy Alert Enterprise mentions allowing the executives to perform their staunch role within the stated time frame. Interested candidates can practise for positions using the company’s online job portal. Job Vacancy Alert: Staff Nurse. Apart from Kerala, Malabar Gold Affairs is at the centre of attention in states like Tamil Nadu. Andhra Pradesh, Karnataka, Maharashtra, Delhi, West Bengal, Uttar Pradesh, Odisha, Rajasthan, Jharkhand, and Chhattisgarh. The company has major cities like Chennai, Lucknow, Hyderabad, Mumbai, Pune, Bangalore, Eluru, Mancherial, Solapur, and Ahmednagar in India. It has already secured retail sectors at high prices in large cities and markets. International expansion plans are in Canada, Australia, Egypt, and various African countries. They operate in areas similar to the states. Required Skills Arts Jobs Merchandising

Department Profile From global institutions to hedge funds, investors come to Morgan Stanley for sales, trading, and market-making services in almost every type of financial instrument in all the world’s financial markets. Morgan Stanley professionals use our network and technology to provide liquidity and sophisticated analysis, to manage risk and execute reliably in the fast-changing markets. Morgan Stanley’s Institutional Equity Division (IED) is a world leader in the origination, distribution and trading of equity, equity-linked and equity-derivative securities. Our broad and deep client relationships, market-leading platform and intellectual insights enable us to be a world-class service provider to our clients for their financing, market access and portfolio management needs. Global Markets Group is the offshoring arm of Morgan Stanley’s Sales & Trading businesses in India. It covers functions across IED ranging from those associated with sales, trading, analytics, strats to risk management. Primary Responsibilities Morgan Stanley's Equities Derivatives division is looking for a strategist/quantitative analyst for its Exotic Derivative Strat team. Strategists are key participants, together with traders and salespeople, in the revenue-generating activities of our Sales & Trading Division. Strategists are the primary quant modellers for new products, and team with the traders to deliver innovative ideas using models to analyse risks and opportunities in trading books for complex derivatives. Exotic strats are responsible for implementing and supporting both the data and quant models used in exotic trading. They also look after automation of the Exotics product flow, including pricing methodology, control of the pricing platform and automated booking. They also assist with tooling for exotics trading, to improve the risk management and hedging infrastructure. Responsibilities For This Role Would Involve Build cutting edge tools for trading and risk managing equity derivatives products. Implement new stochastic processes to value exotic hybrid securities and support existing library. Conduct analysis of complex trade to assess the best pricing method. Analyse and manage the risk of the positions currently in the book. Create tools to assist decision making & increase efficiency in trading. Regular communication with team members in Europe and New York. Skills Required (essential) An advanced degree in a quantitative subject such as Engineering, Applied Mathematics, Physics, Software Engineering is mandatory. Very strong quantitative skills, with knowledge of Exotic Derivative models being a strong plus. Very strong programming skills in an object oriented language (Java/Python/C++) applied within the library of a front office team is a strong plus. Good knowledge of Probability, Numerical Analysis, Stochastic Calculus, Approximation theory, Partial DifferentialEquation and an expertise in either of these subjects. Drive and desire to work in an intense team-oriented environment. Ability to communicate effectively in both written and verbal English. What You Can Expect From Morgan Stanley We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.

Responsibilities: * Deliver engaging technical trainings using C++, Java, DSA, MERN, Python Skills: Proficiency in C, C++, Java, and DSA, MERN. Excellent communication skills Passion for teaching and mentoring students Food allowance