19784 Statistics Jobs - Page 30

Experience Required: 4–5 years Location: Gurugram/Pune Employment Type: Full-time About Role We are seeking a skilled Data Analyst / BI Specialist with 4–5 years of industry experience who is proficient in Google Analytics 4 (GA4) , Looker , and Power BI . The ideal candidate will have strong analytical skills, the ability to interpret complex data sets, and expertise in building intuitive dashboards and reports to drive business decision-making. Key Responsibilities Collect, analyze, and interpret data from multiple sources including GA4, Looker, and Power BI . Design and develop interactive dashboards, reports, and visualizations that deliver actionable insights to stakeholders. Collaborate with cross-functional teams (Marketing, Product, Sales, Tech) to define reporting requirements and KPIs. Conduct deep-dive analysis of web and product performance using GA4 to uncover trends, user behavior, and improvement opportunities. Automate and optimize data pipelines to ensure data accuracy, consistency, and availability. Translate complex data findings into simple, clear, and actionable business recommendations. Stay updated with the latest industry trends in analytics, visualization, and BI tools. Required Skills and Qualifications Bachelor’s degree in Computer Science, Data Analytics, Statistics, or related field. 4–5 years of professional experience in data analytics, BI, or a related role. Hands-on expertise with Google Analytics 4 (GA4) , Looker (Looker Studio/LookML) , and Power BI . Strong knowledge of SQL for data querying and transformations. Proven ability to create visually compelling and user-friendly dashboards. Experience with data modeling, DAX, and ETL processes. Strong communication skills to present findings to both technical and non-technical stakeholders. Good to Have Familiarity with Python or R for advanced analytics. Exposure to cloud platforms (GCP, Azure, or AWS). Experience in marketing analytics, funnel analysis, or customer journey tracking.

Job Description Senior Specialist - Data Science At our company we are leveraging analytics and technology, as we invent for life on behalf of patients around the world. We are seeking those who have a passion for using data, analytics, and insights to drive decision making, that will allow us to tackle some of the world’s greatest health threats. Within our commercial Insights, Analytics, and Data organization we are transforming to better power decision-making across our end-to-end commercialization process, from business development to late lifecycle management. As we endeavour, we are seeking a dynamic talent to serve in the role of Senior Specialist - Data Science. This role involves working with our partners in different Therapeutic areas for e.g. Oncology, Vaccines, Pharma & Rare Disease ( Cardiovascular, HIV, Immunology etc.) and Domain areas (HCP Analytics, Patient Analytics, Segmentation & targeting, Market Access, Digital Analytics, Precision Medicine etc.) across the organization to help create scalable and production-grade analytics solutions, ranging from data visualization and reporting to advanced statistical and AI/ML models. You will work in one of the three therapeutic areas of Brand Strategy and Performance Analytics Market Activation – Oncology/Vaccines/Pharma & Rare Disease, where you will play a pivotal role in leveraging your statistical and machine learning expertise to address critical business challenges and derive insights to drive key decisions. Working alongside experienced data scientists and business analysts, you will have the opportunity to collaborate in translating business queries into analytical problems, employing your critical thinking, problem-solving, statistical, machine learning, and data visualization skills to deliver impactful solutions. We are seeking candidates with prior expertise in the healthcare analytics or consulting sectors, prior experience in leading Data Science teams and delivering end-to-end data science projects against business priorities. Thorough understanding of different Physician and Patient-level data (PLD) from leading vendors such as IQVIA, Komodo, and Optum as well as other datasets like sales rep activity data, promotions data, payer data is expected. Extensive experience on commercial pharma analytics (HCP Analytics, PLD analytics with experience in concepts like patient journey, persistence, compliance, line of therapy, etc., Segmentation & Targeting, Precision medicine, Digital analytics, Propensity modelling etc.). You will collaborate with Market leaders to answer critical business questions using data science solutions. You will be part of a dynamic team that collaborates with our partners across therapeutic areas. Furthermore, effective communication skills are crucial, as this role requires interfacing with executive and business stakeholders. Who You Are You understand the foundations of statistics and machine learning and can work in high performance computing/cloud environments, with experience/knowledge in aspects across statistical analysis, machine learning, model development, data engineering, data visualization, and data interpretation You are self-motivated, and have demonstrated abilities to think independently as a data scientist You structure your data science approach according to the necessary task, while appropriately applying the correct level of model complexity to the problem at hand You have an agile mindset of continuous learning and will focus on integrating enterprise value into team culture You are kind, collaborative, and capable of seeking and giving candid feedback that effectively contributes to a more seamless day-to-day execution of tasks Key Responsibilities Lead a moderate sized team of Data Scientists to solve complex business problems Responsible for the people management, career growth, coaching and mentorship for the team members Collaborate with business leaders to define and prioritize the business problems, work with the team to conceptualize the data science solution to address the problem Lead the end to end Program Management to ensure that team is working as per aligned business priorities Standardize and scale data science solutions to increase the delivery efficiency on prioritized work Collaborate with cross-functional teams to design and implement solutions that meet business requirements Define business & technical requirements (datasets, business rules, technical architecture), provide technical direction to the team and manage end-to-end projects Present the findings to senior business stakeholders in a clear and concise manner Ensure the technical and professional development of junior team members by required mentorship and defining the career progression pathway Develop deep expertise in the therapeutic area of interest, contribute to thought leadership in the domain through publications and conference presentations. Minimum Qualifications Bachelor’s degree with 8-10 >9 years industry experience Extensive experience in healthcare analytics or consulting sectors Extensive experience working with Physician & patient level data (PLD) from leading vendors such as IQVIA, Komodo, Optum etc. along with datasets like Sales rep activity data, promotions data, payer data Extensive experience on commercial pharma analytics (HCP Analytics, PLD analytics with experience in concepts like patient journey, persistence, compliance, line of therapy, etc., Segmentation & Targeting, Precision medicine, Digital analytics, Propensity modelling etc.). Experience in project management, senior level stakeholder management Experience in leading moderate sized teams Strong Python/R, SQL, Excel, Powerpoint and storyboarding skills Executive communication skills Strong foundation of statistics and machine learning Preferred Qualifications Advanced degree in STEM (MS, MBA, PhD) Experience in Oncology/Vaccine/Pharma & Rare Diseases therapeutic area (Cardiovascular, HIV, Immunology etc.) commercial analytics Experience of supporting end-to-end Program Management Experience in GenAI implementations Our Human Health Division maintains a “patient first, profits later” ideology. The organization is comprised of sales, marketing, market access, digital analytics and commercial professionals who are passionate about their role in bringing our medicines to our customers worldwide. We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively. We are an equal opportunity employer, committed to fostering an inclusive and diverse workplace. Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status Regular Relocation VISA Sponsorship Travel Requirements Flexible Work Arrangements Hybrid Shift Valid Driving License Hazardous Material(s) Required Skills Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Software Development, Stakeholder Relationship Management, Waterfall Model Preferred Skills Job Posting End Date 08/31/2025 A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID R335740

Minimum 5 years of experience in machine learning engineering and AI development. Deep expertise in machine learning algorithms and techniques like supervised/unsupervised learning, deep learning, reinforcement learning, etc. Solid experience in natural language processing (NLP) - language models, text generation, sentiment analysis, etc. Proven understanding of generative AI concepts like text/image/audio synthesis, diffusion models, transformers, etc. Expertise in Agentic AI and building real world applications using the same. Experience working with Agentic AI frameworks like Langgraph,ADK , Autogen etc. Hands-on experience indeveloping and deploying generative AI applications (text generation, conversational AI, image synthesis, etc.) Experience in MLOps and ML model deployment pipelines. Proficiency in programming languages like Python, and ML frameworks like TensorFlow, PyTorch, etc. Knowledge of cloud platforms (AWS, GCP, Azure) and tools for scalable ML solution deployment. Experience with data processing, feature engineering, and model training on large datasets. Familiarity with responsible AI practices, AI ethics, model governance and risk mitigation. Understanding of software engineering best practices and applying them to ML systems. Experience with an agile development environment. Exposure in tools/framework to monitor and analyse ML model performance and data accuracy. Strong problem-solving, analytical, and communication abilities. Bachelors or masters degree in computer science, AI, Statistics, Math or related fields.Responsibilities: Design, develop and optimize machine learning models for applications across different domains. Build natural language processing pipelines for tasks like text generation, summarization, translation, etc. Develop and deploy cutting-edge generative AI & Agentic AI applications. Implement MLOps practices - model training, evaluation, deployment, monitoring, and maintenance. Integrate machine learning capabilities into existing products or build new AI-powered applications. Perform data mining, cleaning, preparation, and augmentation for training robust ML models. Collaborate with cross-functional teams to translate AI requirements into technical implementations. Ensure model performance, scalability, reliability. Continuously research and implement state-of-the-art AI/ML algorithms and techniques. Manage the end-to-end ML lifecycle from data processing to production deployment.

Company Description BioPractify is an educational platform focused on biotechnology and related fields. It offers programs that emphasize practical, hands-on experience to upskill students. By collaborating with international domain experts and featuring instructors from top institutions, BioPractify provides workshops, lectures, and courses in areas such as machine learning, bioinformatics, molecular docking, and drug discovery. The platform is also involved in initiatives like Skill India, aiming to build a strong student community equipped with cutting-edge knowledge in biotechnology. Role Description This is an internship role for a Bioinformatics Intern. The intern will be involved in day-to-day tasks such as sequencing, statistics, data analysis, and research in bioinformatics. This is an on-site role located in Noida. The intern will collaborate with team members to contribute to ongoing projects and gain practical experience in the field of bioinformatics. Qualifications Skills in Sequencing and Bioinformatics Knowledge of Statistics and Data Analysis Strong Research skills Excellent analytical and problem-solving abilities Ability to work collaboratively in a team environment Currently enrolled in or recently graduated from a relevant degree program in Bioinformatics, Biotechnology, or related fields Experience in related internships or projects is a plus

📌 Faculty Recruitment – Economics & Statistics Contact No: 8981679014 At Dr. Sourav Sir’s Classes , we are dedicated to building strong academic foundations for students aspiring to excel in Economics, Statistics, and competitive examinations . We are inviting applications for Economics and Statistics Faculty to guide students across college-level courses, university entrances, and professional exams . ✅ Qualification Criteria Educational Qualification Master’s/Ph.D. in Economics, Statistics, or related disciplines from a reputed institution. Candidates with UGC-NET qualification or teaching/research background will be given preference. Experience Prior teaching experience in colleges, universities, or coaching institutes is desirable. Freshers with strong conceptual clarity and passion for teaching are also welcome. Skills Required Deep understanding of Microeconomics, Macroeconomics, Econometrics, Mathematical Economics, Probability, Statistical Inference, and Applied Statistics . Strong problem-solving and analytical ability. Capability to explain concepts in a simple, logical, and student-friendly manner . Good communication skills (English and Hindi/Bengali preferred). Dedication, patience, and enthusiasm for teaching. 📖 Work Responsibilities Teaching Economics and Statistics to undergraduate, postgraduate, and professional exam aspirants. Conducting lectures, tutorials, and doubt-clearing sessions in both offline and online modes. Preparing study notes, problem sets, mock tests, and practice questions . Guiding students in exam strategies, research orientation, and analytical writing . Regularly assessing performance through assignments, quizzes, and feedback sessions . Staying updated with the latest exam patterns, syllabus changes, and academic developments . Mentoring students for entrances like ISI, IIT-JAM, Indian Economic Service, RBI Grade B (DEPR), and university-level exams . 🌟 Why Join Us? Be part of a renowned coaching institute with a strong legacy in Economics and Statistics education. Competitive pay structure with scope for long-term growth . Opportunity to impact bright young minds preparing for higher studies and careers. A collaborative and intellectually stimulating environment. 📞 For queries and applications, contact us at: 8981679014 📍 Join Dr. Sourav Sir’s Classes and help shape the future of Economists and Statisticians of tomorrow .

OLX India is a leading classifieds platform, boasting over 100+ million app downloads across diverse categories, including cars, bikes, real estate, and electronics. Consumers and dealers come to OLX India, India’s largest online classifieds platform, to buy and sell used and new products. OLX India operates in over 10 categories across India. These main categories include Auto, Real estate, Mobiles/Electronics, Furniture, etc. Sellers can list multiple products and upload their advertisements, including pictures, titles, descriptions, and expected sales prices. Buyers can browse through the listings, contact sellers directly, negotiate, and then purchase items from the seller. The platform connects millions of buyers and sellers, thus enabling safe and easy trade. We are seeking a highly motivated and detail-oriented Assistant Manager Product Analyst to join our dynamic team. The ideal candidate will have a strong analytical mindset, excellent communication skills, and a passion for driving data-driven decision-making in the product development process. As a AM-Product Analyst, you will play a crucial role in gathering and analyzing data to provide insights that inform product strategy, enhance user experience, and contribute to the overall success of our products. What You’ll do : ● Analyze large datasets to extract meaningful insights and trends related to user behavior, product performance, and market dynamics. ● Develop and maintain key performance indicators (KPIs) to measure product success and user engagement. ● Develop and execute A/B testing and other experiments to measure the impact of product changes. Collaboration: ● Collaborate with cross-functional teams, including product management, engineering, marketing, and customer support, to ensure alignment on product goals and strategies. Who are we looking for? ● Bachelor’s degree in a related field (e.g., Business, Statistics, Computer Science) or equivalent work experience. ● 5+ years experience in business analytics experience ● B. Tech/ M. Tech from a premier institute (IIT/NIT/BITS ) ● Proven experience as a Product Analyst or in a similar role, with a track record of successfully influencing product decisions through data analysis. ● Strong proficiency in data analysis tools and languages (e.g., SQL, Python, R) and experience with tools (e.g., GA, Clevertap & Tableau). ● Excellent communication and presentation skills with the ability to convey complex data findings to both technical and non-technical stakeholders. ● Familiarity with product management methodologies and a deep understanding of the product development lifecycle. ● Detail-oriented with a strong analytical mindset and problem-solving skills. ● Ability to thrive in a fast-paced, collaborative environment. What We'll give you ● An opportunity to shape a largely unorganised industry and help millions of car buyers and sellers transact with trust and efficiency. ● Passionate team and leadership colleagues who will share the dream and drive to deliver the most trusted, convenient and innovative car buying and selling experiences. ● Opportunities to speed up your learning and development across your role relevant areas . At OLX, we are committed to creating a diverse, inclusive, and authentic workplace. We strongly encourage people of all races, ethnicities, disabilities, ages, gender identities or expressions, sexual orientations, religions, backgrounds, and experiences to apply.

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description To ensure that Visa’s payment technology is truly available to everyone, everywhere requires the success of our key bank or merchant partners and internal business units. The Global Data Science group supports these partners by using our extraordinarily rich data set that spans more than 3 billion cards globally and captures more than 100 billion transactions in a single year. Our focus lies on building creative solutions that have an immediate impact on the business of our highly analytical partners. We work in complementary teams comprising members from Data Science and various groups at Visa. To support our rapidly growing group we are looking for Data Scientists who are equally passionate about the opportunity to use Visa’s rich data to tackle meaningful business problems. You will join one of the Data Science focus areas (e.g., banks, merchants & retailers, digital products, marketing) with an opportunity for rotation within Data Science to gain broad exposure to Visa’s business. The role will be based in Bengaluru, India Essential Functions Be an out-of-the-box thinker who is passionate about brainstorming innovative ways to use our unique data to answer business problems Communicate with clients to understand the challenges they face and convince them with data Extract and understand data to form an opinion on how to best help our clients and derive relevant insights Develop visualizations to make your complex analyses accessible to a broad audience Find opportunities to craft products out of analyses that are suitable for multiple clients Work with stakeholders throughout the organization to identify opportunities for leveraging Visa data to drive business solutions. Mine and analyze data from company databases to drive optimization and improvement of product, marketing techniques and business strategies for Visa and its clients Assess the effectiveness and accuracy of new data sources and data gathering techniques. Develop custom data models and algorithms to apply to data sets. Use predictive modeling to increase and optimize customer experiences, revenue generation, data insights, advertising targeting and other business outcomes. Develop processes and tools to monitor and analyze model performance and data accuracy. This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager. Qualifications Basic Qualifications • Bachelor’s or Master’s degree in Statistics, Operations Research, Applied Mathematics, Economics, Data Science, Business Analytics, Computer Science, or a related technical field • 5+ years of work experience with a bachelor’s degree or 2+ years’ experience with an advance degree (e.g., Master’s or MBA) • Analyzing large data sets using programming languages such as Python, R, SQL and/or Spark • Developing and refining machine learning models for predictive analytics, classification and regression tasks. Preferred Qualifications • 5+ years’ experience in data-based decision-making or quantitative analysis • Knowledge of ETL pipelines in Spark, Python, HIVE that process transaction and account level data and standardize data fields across various data sources • Generating and visualizing data-based insights in software such as Tableau • Competence in Excel, PowerPoint • Previous exposure to financial services, credit cards or merchant analytics is a plus Additional Information Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Job description: Strategically manage warehouse in compliance with company’s policies and vision Oversee receiving, warehousing, distribution and maintenance operations Setup layout and ensure efficient space utilization Initiate, coordinate and enforce optimal operational policies and procedures Adhere to all warehousing, handling and shipping legislation requirements Maintain standards of health and safety, hygiene and security Manage stock control and reconcile with data storage system Liaise with clients, suppliers and transport companies Plan work, assign tasks appropriately and appraise results Recruit, select, orient, coach and motivate employees Produce reports and statistics regularly (IN/OUT status report, dead stock report etc) Receive feedback and monitor the quality of services provided Requirements: Proven work experience as a warehouse supervisor Expertise in warehouse management procedures and best practices Proven ability to implement process improvement initiatives Strong knowledge of warehousing Key Performance Indicators (KPIs) Hands on experience with warehouse management software and databases Leadership skills and ability manage staff Strong decision making and problem solving skills Excellent communication skills BS degree in logistics, supply chain management or business administration Job Type: Full-time Pay: ₹15,000.00 - ₹25,000.00 per month Schedule: Day shift Ability to commute/relocate: Ballabhgarh Haryana Experience: Total work: 1-2 years (Preferred) Work Location: In person Job Types: Full-time, Permanent Pay: ₹15,000.00 - ₹20,000.00 per month Benefits: Flexible schedule Paid sick time Paid time off Provident Fund Work Location: In person

Roles and Responsibility Develop and implement data analytics solutions to drive business growth. Collaborate with cross-functional teams to design and execute operational processes. Analyze complex data sets to identify trends and opportunities for improvement. Design and implement data visualization tools to communicate insights to stakeholders. Develop and maintain databases and data systems to support business operations. Identify and mitigate risks associated with data analysis and operational processes. Job Requirements Strong understanding of data analytics principles and practices. Experience with data visualization tools and technologies. Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a fast-paced environment. Strong communication and interpersonal skills. Experience with database management and data system development.

Job Title: Senior / Staff Data Scientist Location: Remote Employment Type: Full-time Role Type: Senior Individual Contributor (IC) About Aviso AI: Aviso AI is revolutionizing enterprise sales intelligence with cutting-edge AI solutions for forecasting, deal guidance, and revenue operations. By leveraging machine learning and advanced analytics, we empower enterprise teams to make data-driven decisions, optimize sales execution, and drive productivity at scale. Role Overview: We are seeking Senior and Staff Data Scientists who thrive on solving complex real-world problems through applied machine learning. In this high-impact IC role, you’ll work closely with product, engineering, and customer success teams to design, build, and deploy intelligent systems that are central to the Aviso platform. This is a rare opportunity to drive innovation in an environment where your work directly influences business outcomes and product direction. Key Responsibilities: ● Design and implement robust, scalable machine learning models for forecasting, ranking, classification, and matching tasks. ● Translate ambiguous product and business requirements into well-scoped data science problems with measurable success criteria. ● Lead experimentation, feature engineering, and model validation workflows in collaboration with the broader AI/ML team. ● Collaborate cross-functionally with engineering, product, and GTM teams to integrate models into production systems and ensure end-to-end delivery. ● Write high-quality, production-grade code that is maintainable, testable, and well-documented. ● Continuously evaluate new modeling techniques, data sources, and tools to improve performance and expand capability. ● Provide technical mentorship to junior team members and influence data science best practices across the team. Qualifications: ● 5+ years of experience in data science or applied machine learning, with a strong track record of delivering production-ready models. ● Proficiency in Python and libraries such as scikit-learn, XGBoost, TensorFlow or PyTorch, and Pandas. ● Solid understanding of statistical modeling, ML theory, experimental design, and model evaluation. ● Experience with time-series modeling, NLP, graph-based models, or recommender systems is a strong plus. ● Familiarity with cloud ecosystems (AWS/GCP), data pipelines, and distributed computing (e.g., PySpark). ● Ability to independently own problem statements end-to-end while collaborating in a multi-disciplinary team. ● Excellent communication skills, with the ability to explain complex technical topics to product and business stakeholders. ● Degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Engineering, Economics). Master’s or PhD preferred. Why Join Aviso AI? At Aviso, you’ll be part of a collaborative, high-caliber team pushing the boundaries of applied AI in enterprise sales. You’ll tackle challenging modeling problems at scale, with real business impact. Whether you're passionate about causal inference, time-series forecasting, or graph intelligence, you’ll find the platform, support, and autonomy to innovate.

Data Analyst Intern 📍 Location: Remote (100% Virtual) 📅 Duration: 3 Months 💸 Stipend for Top Interns: ₹15,000 🎁 Perks: Internship Certificate | Letter of Recommendation | Full-Time Offer (Performance-Based) About INLIGHN TECH INLIGHN TECH is a leading edtech company that provides immersive, project-based virtual internships designed to help students and graduates gain hands-on experience in high-demand tech fields. The Data Analyst Internship is crafted to help you build the analytical and technical skills needed to work with real-world datasets and derive meaningful business insights. 🚀 Internship Overview As a Data Analyst Intern , you’ll work with diverse datasets to analyze trends, visualize results, and support strategic decisions. You’ll use modern tools and languages like Excel, SQL, and Python to clean, process, and present data. 🔧 Key Responsibilities Collect, clean, and organize data for analysis Perform exploratory data analysis (EDA) to uncover patterns and insights Develop interactive dashboards and reports using Power BI , Tableau , or Google Data Studio Use SQL for data querying and manipulation Apply basic statistical methods to support data-driven decisions Present findings clearly to technical and non-technical audiences Collaborate with peers and mentors during review sessions and feedback meetings ✅ Qualifications Pursuing or recently completed a degree in Data Analytics, Statistics, Computer Science, Business , or a related field Proficiency in MS Excel and working knowledge of SQL Familiarity with Python (Pandas, NumPy) or data visualization tools is a plus Strong attention to detail and problem-solving ability Passion for working with data and delivering actionable insights Good communication and collaboration skills 🎓 What You’ll Gain Hands-on experience with real-world data analysis projects A portfolio of dashboards and reports for your resume Internship Certificate upon successful completion Letter of Recommendation for high performers Opportunity for a Full-Time Role based on performance Practical exposure to industry-relevant tools and workflows

Purpose of the Role The Actuarial Specialist will be primarily responsible for building and validating actuarial models using Python, ensuring they meet detailed business specifications. The role requires a blend of technical programming skills and actuarial expertise, particularly in the pensions and protection domain. You will collaborate with product, development, and project teams to deliver accurate and scalable solutions to our clients. Key Responsibilities Develop Python-based actuarial models for pensions and protection products. Translate complex actuarial calculations into well-structured system specifications. Rigorously test and validate models to ensure they align with business requirements. Use SQL, Excel, and other tools for validation, data analysis, and model auditing. Maintain and enhance existing calculation systems and models. Collaborate with internal teams (Analysts, Developers, Product Managers) to deliver end-to-end solutions. Contribute actuarial input to business and system change initiatives. Support client-facing projects, including implementation, UAT, and post-deployment updates. Required Qualifications and Skills Technical Skills: Proficiency in Python (modelling, scripting, automation). Good working knowledge of SQL and Excel for data handling and validation. Experience with actuarial modelling concepts and principles. Ability to interpret and apply actuarial specifications to system design. Educational Background: Degree in Actuarial Science, Mathematics, Statistics, Computer Science or a closely related field. A-level Mathematics (Grade A*–A or equivalent). Progress toward actuarial qualifications (e.g., IFoA) is desirable. Desirable Knowledge: Familiarity with VBA and Microsoft Office Suite. Exposure to in-house actuarial or insurance software platforms. Knowledge of AI/ML techniques and their application in insurance or actuarial modelling is a plus. Personal Attributes Strong analytical and problem-solving skills. High attention to detail and commitment to model accuracy. Self-motivated with a proactive approach to learning and development. Excellent communication and documentation skills. Collaborative team player with the ability to work with both technical and non-technical stakeholders. Adaptable and resilient in a dynamic, project-oriented environment

Job Title: Quantitative Analyst (Forex) Location: Indore, MP, India (Onsite only - Work from office) Experience Level: 3–5 years Employment Type: Full-time Role Overview Tecnomi is seeking a talented Quantitative Analyst to join our team full-time and play a key role in building, validating, and optimising systematic forex trading strategies. You will work closely with the project owner and development team to develop actionable models, implement risk frameworks, and contribute to data-driven insights. This full-time position offers the opportunity to drive innovative solutions in a collaborative environment, with a focus on long-term project impact. Key Responsibilities Strategy Development: Design, test, and optimise quantitative trading strategies using price data, volatility measures, sentiment indicators, and macroeconomic variables. Modelling & Backtesting: Build robust forecasting models (e.g., time-series, LSTM/Transformer hybrids) and perform rigorous backtesting to ensure reliability. Risk Frameworks: Develop and integrate risk-control tools (e.g., Value-at-Risk, drawdown limits, exposure thresholds) while aligning with compliance best practices. Data Integration: Aggregate and analyse multi-source data (news feeds, order-book snapshots, economic calendars) for model inputs and enhancements. Mentorship: Provide ongoing guidance and knowledge-sharing sessions to educate non-technical team members, including the project owner, on forex fundamentals and quantitative concepts. Collaboration & Documentation: Work with development teams to integrate model outputs into systems; maintain clear, comprehensive documentation of assumptions, processes, and results. Required Qualifications 3–5 years of experience in quantitative research, preferably in forex or systematic trading. Hands-on experience with backtesting platforms and statistical validation techniques. Strong understanding of FX market dynamics, macro drivers, and risk modelling. Excellent communication and teaching skills to mentor non-experts effectively. Bachelor’s or Master’s degree in Quantitative Finance, Mathematics, Statistics, or a related field. Verifiable 3-year portfolio showcasing prior models, backtests, or strategy reports. Preferred Skills Experience across multiple forex instruments or asset classes. Proficiency in Python or R (e.g., pandas, NumPy, statsmodels, scikit-learn). Familiarity with regulatory frameworks (e.g., RBI/FEMA). Exposure to tools like QuantConnect, MLflow, or similar platforms.

This job is with WTW, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Description You will work as part of project teams that focus on performing actuarial valuations of our clients’ employee benefits provisions. Supported by experienced consultants, you will build your actuarial and client-facing skills, as well as your knowledge of retirement valuation processing in areas like: Accounting for employee benefits, including pensions, long-term awards and gratuity leave Designing and modelling employee retirement plans for clients Advising companies on governance and best practice relating to the administration of their retirement plans You will also take on challenges in the following key areas: Clients Support all stages of actuarial, trust, and insurer consulting engagements — from data validation to final client deliverables. Develop a strong understanding of the Indian and international accounting standards, as well as the broader retirement benefits landscape. Contribute to special projects involving advanced data analytics and client interactions. Assist senior team members in project planning, coordination, and timely delivery. Ensure all work meets high standards of quality and consistently exceeds client expectations. Identify opportunities to enhance our processes and deliver more efficiently Excellence Collaborate with colleagues to prepare accurate, comprehensive deliverables for key clients. Build in-depth knowledge of retirement benefit plans, funding strategies, and regulatory frameworks. Develop familiarity with the data, systems, and methodologies used in actuarial valuations and broader consulting assignments. Prepare well-structured, high-quality draft reports for review by senior analysts and consultants People Building strong colleague relationships and collaborating in cross-functional teams Communicating effectively with colleagues and clients at all levels Share knowledge and mentor interns, contributing to a culture of continuous learning and support. Qualifications To start building your future career with us, you will need to be: Currently in your final year of graduation and pursuing a bachelor’s degree in Commerce, Economics, Mathematics, Statistics, Business, any Engineering or an analytical subject An excellent communicator both verbally and in writing Able to manage multiple projects and time effectively An analytical thinker with strong research skills A self-driven achiever who values teamwork, collaboration, decisiveness and integrity Proactive in meeting clients’ needs Able to go beyond the details and see the big picture Eager to gain and share new information and knowledge Able to build and manage relationships Comfortable working with Microsoft Office, particularly Excel The application process Stage 1: Online application and recruiter review Stage 2: Pre-recorded video interview Stage 3: Technical interview with hiring manager and team Stage 4: Final Interview Stage 5: Offer and onboarding We’re committed to equal employment opportunity and provide application, interview and workplace adjustments and accommodations to all applicants. If you foresee any barriers, from the application process through to joining WTW, please email candidate.helpdesk@willistowerswatson.com .

Qualifications 15+ years of experience in Data Science, Machine Learning, and AI. Strong academic background in Computer Science, Statistics, Mathematics, or related field (PhD or Master’s preferred). Hands-on experience with: Classical ML: XGBoost, Random Forest, SVM, etc. Deep Learning: CNNs, RNNs, LSTMs, Transformers NLP: BERT, GPT, LLaMA, T5, etc. GenAI: Diffusion models, LLM fine-tuning, prompt engineering Proficiency in Python, SQL, and ML libraries (scikit-learn, Hugging Face, LangChain, etc.). Experience with cloud platforms (Azure, AWS, GCP) and MLOps tools (AML, MLflow, Kubeflow, Airflow). Strong understanding of data architecture, feature engineering, and model deployment pipelines. Experience with vector databases, retrieval-augmented generation (RAG), and semantic search. Familiarity with LLMOps and GenAI safety frameworks. Publications or patents in AI/ML domains. Required Skills Excellent communication and storytelling skills. Strong problem-solving and analytical thinking. Ability to inspire and lead high-performing teams. Adaptability in a fast-paced, evolving tech landscape.

The purpose of this role is to increase revenue, maximize process efficiency & cost-effectiveness, and ensure excellent customer experience, through effective supervision of daily operations and personnel, contract compliance, resource optimization and capability development within an account. Do Maximize process efficiency and cost effectiveness through strategic planning, contract compliance and governance mechanisms Strategy Planning with Senior Stakeholders Collaborate with leaders to provide strategic and operational plans associated with the account Plan the strategy for the coming years by identifying new geographies for alternate revenue streams Ensure a deep enough understanding of clients individual experiences to head off potential issues before they become problems Contract compliance & adherence Ensure all SLA parameters are met in the account and maintain a green card at all times Review and drive appropriate actions/ systemic changes on internal and external audit findings to ensure no major non-compliances are cited Monitor and review the account on various delivery parameters to ensure quality delivery as per budget and timelines Delivery governance in the account Understand customer goals and key performance metrics and ensure exceeding those goals throughout the project Ensure a green card for all accounts in terms of performance and quality Monitor and review delivery dashboards/ MIS across accounts to track progress and identify potential red flags Participate and share account performance across operational, quality and fulfillment parameters with internal and external stakeholders Lead and manage project escalations, potential risks or early warning signs on project delivery to eliminate any revenue leakage Ensure regular invoicing as per the contract terms and condition Forecast and track key account metrics Invoicing Timely submission of invoices to the client as defined in the SOW Provide information required and resolve any invoicing issues raised by the client Collect and analyze statistics (costs, customer service metrics etc.) Assume responsibility of budgeting and tracking expenses Ensure outstanding performance against key metrics mentioned in the agreement Regular cadence around contract compliance Evaluate performance with key metrics (accuracy, customer service metrics etc.) Set direction for the team, track progress against targets through regular cadence calls and course correct as require Drive the focus of the team on quality and adherence to contract compliance processes Drive and implement structured cadence around quality, both process and transactional Cadence with delivery lead to ensure margins are met and the account numbers are at par to what is committed Weekly calls with WFM to ensure resource optimization, compliance to the manpower numbers agreed in the contract, future planning in case of ramp ups etc. Resource Allocation & Retention Conduct effective resource planning to maximize the productivity of resources (people, technology etc.) Review and monitor resource planning and fulfillment in line with account requirements and costs of delivery Optimize manpower and minimize leakages by working closely with delivery head Ensure retention by offering relevant trainings and certifications of all allocated resources Lead one-on-one floor connect and other engagement activities to improve stickiness of the delivery team Collaborate and influence internal key stakeholders to manage and resolve issues to ensure fulfillment and flawless delivery of projects Mandatory Skills: Geographic Information Systems(Maps).Experience5-8 Years.

Job Summary We are seeking a highly experienced AI/ML Engineer with 10–12 years of hands-on experience to lead the complete AI/ML pipeline—from data ingestion and exploration to model deployment and monitoring. The ideal candidate will design and implement machine learning models, leveraging advanced Generative AI (GenAI) techniques to drive content generation, summarization, text classification, and intelligent automation. This role requires expertise in large language models (LLMs), including fine-tuning, optimization, and deployment of models such as GPT, BERT, and LLaMA using transfer learning and LoRA techniques. The candidate will also develop Retrieval-Augmented Generation (RAG) pipelines, integrate GenAI APIs and services into internal platforms, and implement guardrails for responsible AI practices. Beyond model development, the AI/ML Engineer will collaborate with product and engineering teams to deliver GenAI-powered features, drive model governance, and mentor junior team members to foster AI innovation. Experience with MLOps, CI/CD, feature engineering, dimensional modeling, and data engineering will be essential for success in this role. This position is perfect for someone passionate about cutting-edge AI/ML advancements, Generative AI applications, and building impactful machine learning solutions for real-world business challenges. Job Responsibility Lead the complete AIML pipeline from data ingestion and exploration to model deployment and monitoring. Leads development, build, and test scenrios for data solutions to deliver business value while meeting quality & technical requirements Accountable for end-to-end delivery of source data acquisition, complex transformation and orchestration pipelines, AI/ML engineering, and front-end visualization Design, build, and deploy machine learning models (classification, regression, deep learning etc) with real-world business applications. Leverage advanced GenAI techniques to solve problems in content generation, summarization, text classification, and intelligent automation. Fine-tune, optimize, and deploy LLMs (e.g., GPT, BERT, LLaMA) for custom use cases using techniques like transfer learning and LoRA. Develop prompt engineering frameworks and reusable GenAI patterns to accelerate model development. Build Retrieval-Augmented Generation (RAG) pipelines for domain-specific applications using vector databases and embedding models. Integrate GenAI APIs and services (e.g., OpenAI, Azure OpenAI, Hugging Face, LangChain) into internal platforms and products. Implement guardrails, safety filters, and evaluation metrics for GenAI models to ensure responsible AI practices. Perform advanced text mining, semantic search, document clustering, and knowledge graph generation using GenAI. Drive GenAI model governance including versioning, bias/fairness assessments, and monitoring drift in deployed systems. Collaborate with product and engineering teams to deliver GenAI-powered features in production systems. Mentor junior AI/ML team members and foster adoption of GenAI techniques across the organization. Design and implement robust ML models (classification, regression, deep learning) to solve real-world problems. Apply advanced statistical techniques to derive insights and build predictive models. Optimize model performance through hyperparameter tuning and evaluation metrics analysis. Deploy models to production environments using best practices in MLOps and CI/CD pipelines. Work on state-of-the-art architectures including Transformers, LSTM, CNNs for deep learning use cases (e.g., NLP, computer vision). Translate complex technical concepts into clear business insights and recommendations. Lead end-to-end ML lifecycle: data exploration, feature engineering, model selection, training, evaluation, deployment, and monitoring. Develop and fine-tune GenAI models including foundational models and LLMs (fine-tuning, prompt engineering, RAG). Mentor junior data scientists and ML engineers on best practices, tools, and techniques. Qualifications Bachelore /Master’s / PhD in Computer Science, Data Science, Statistics, Mathematics, or related field. Skills 10–12 years of experience in applied machine learning and artificial intelligence. Strong grounding in statistics, probability, and mathematics. Proven experience in feature engineering, model tuning, and understanding of data structures and algorithms. Deep knowledge of classification/regression techniques, ensemble methods, and deep learning architectures. Expertise with transformer models (e.g., BERT, GPT), RNNs, CNNs, etc. Solid experience with GenAI tools and frameworks (e.g., OpenAI, LangChain, HuggingFace Transformers). Proficiency in programming languages such as Python, with experience using ML libraries (e.g., scikit-learn, TensorFlow, PyTorch, XGBoost). Strong knowledge of model deployment techniques using Docker, Kubernetes, MLflow, or similar tools. Experience working with large-scale datasets and distributed computing frameworks like Spark is a plus. Good understanding of data engineering practices, ETL pipelines, and dimensional modeling. Working knowledge of SQL, Snowflake, and other cloud data warehouses is an added advantage. Familiarity with MLOps principles, version control (Git), and model monitoring tools. Experience with cloud platforms (e.g., Azure, AWS, GCP) for scalable AI/ML deployment. Experience with CI/CD pipelines in ML model delivery. Excellent communication and stakeholder management skills.

This job is with Standard Chartered Bank, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Job Summary Strategy The Business Analyst supports SC's strategic data management, which interprets regulatory directives, group policies and standards and applies compliant practices that protect the Bank's assets/reputation. Business Provide business analysis support in delivering the solution for Data Quality Management Treatment Plan and other treatment plans across Records Management and Privacy as the need arises Review business requirement documents and identify data requirements - define the source data sets, mapping & transformation rules, aggregation & reporting requirements etc Analyse and ensure end-to-end data lineage, handshake, dictionary and transformation logic are established and up to date. Identify and document data sources and data consumers. Identify golden sources and recommend data sourcing approach Work closely with Downstream process owner and business risk owner to develop data quality validation rules and data quality maintenance / control where appropriate. Plan and coordinate profiling of data to ascertain data quality and consistency, if required Work with various technology teams to deliver data responsibilities Actively participate in any audit related to data within CPBB Manage end-to-end communications with the user community & stakeholders. Processes Ensure processes are streamlined and any control related issues are flagged timely to process owners and Operation Risk Support in implementation of controls to ensure accuracy of NTB on boarding and ongoing static data updates on ETB Help to design control monitoring to help DQM process owner manage their risk. People and Talent Manage stakeholders efficiently and engage them appropriately from a project support standpoint Risk Management Manage Data Management (DM) related risks (including (but not limited to) Data Quality, Privacy & Secrecy and Records Management) within CPBB Business Participate and perform Risk and Control Self-Assessment (RCSA) on Data Management (DM) related risks within CPBB Business Perform quarterly Residual Risk Assessment (RRA) on CPBB Data Quality Management process Governance Ensure robust project governance of the project at a country, regional and global level Key Responsibilities Regulatory & Business Conduct Display exemplary conduct and live by the Group's Values and Code of Conduct. Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct. Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters. Key Stakeholders Group/Regional/Country Onboarding/Service Transacting/BRM Operation team, CPBB FCC, CPBB OR, CDO, respective RFO and CPBB Data Other Responsibilities Embed Here for good and Group's brand and values in WRB COO team; Perform other responsibilities assigned under Group, Country, Business or Functional policies and procedures; Multiple functions (double hats); Skills And Experience Data Management Project Management Financial Reporting (BCBS239 / IFRS9) Stakeholder Management Business Analyst Qualifications EDUCATION Bachelor's degree or higher - preferably in Accounting, Statistics, and Computer Science or highly relevant equivalent experience is required. TRAINING Demonstrated experience In the Finance, Risk and/or Regulatory reporting space for at least 8-10 years Deep knowledge of the strategic business drivers and operational process requirements Part of large development or implementation project / consulting organizations supporting complex data management programs in the finance & regulatory reporting space Project management/Business Analysis experience in the data management area. Must be able to enforce deadlines in a fast-paced, deadline driven environment Broad experience with data requirements, data modelling concepts, data integration, master data management, metadata management, enterprise data warehousing (EDW) and business intelligence/analytics, tools, protocols and practices Able to understand and interpret logical and physical data models Attention to detail, good analytical and problem-solving skills and critical thinking are essential Possess leadership capabilities and is able to lead a focused task force Cultural sensitivity and awareness to work with a range of people from diverse background and geographies Good command of English and possess good interpersonal and communication skills Work experience with major transaction processing systems or data warehouses used in SCB is desirable About Standard Chartered We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion. Together We Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term What We Offer In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing. Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. Flexible working options based around home and office locations, with flexible working patterns. Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.

About Energy Exemplar In an era where the world is rapidly advancing towards a cleaner future through decarbonization, Energy Exemplar’s mission lies in ‘Empowering Transformative Energy Decisions’. Founded in 1999 in Adelaide, Australia, our award-winning software portfolio encompassing the modeling and simulation platform PLEXOS®, Aurora, and Adapt2, is trusted by innovative organizations across the globe. Through our technology and people, we strive to enable stakeholders from across the entire energy value chain to revolutionize the energy ecosystem and to collaboratively plan and execute for a sustainable energy future with unprecedented clarity, speed, and innovation. Our impact is global and is being recognized across the industry. Some of our recent accolades include: SaaS Company of the Year (2025) – Global Business Tech Awards. Environmental Impact Award (2025) – E+E Leaders Awards. IPPAI (Independent Power Producers Association of India) Power Awards (2025) - Winners Finalist: Platts Global Energy Awards (2024) – Grid Edge category Finalist: Reuters Global Energy Transition Awards (2024) – Technologies of Change Top 50 Marketing Team (2024) – Voted by the public at the ICON Awards. How We Work Energy Exemplar is growing fast around 30% year on year and, that growth is driven by how we work. We trust our team to deliver great results from wherever they work best, whether that’s at home, in the office, or on the move. We’re a global team that values ownership, integrity, and innovation. You’ll be supported to balance work and life in a way that works for you, and empowered to take initiative, solve problems, and make an impact, regardless of your background, location, or role. Our four core values, Customer Success, One Global Team, Integrity & Ownership, and Innovation Excellence aren’t just words. They show up in how we collaborate, how we solve, and how we grow together. About the Position Energy Exemplar is the market leader in Energy Simulation Software. We exist so that our customers can make the most informed decisions at the most impactful times and want you to be part of that success. We are calling for a leader who would be responsible for leading & managing the development of our datasets in Pune as directed and ensuring the energy market analysts are building their models correctly provided project scope and using best practices. You would also be responsible for ensuring quality control and efficient tools and techniques are being employed. Key Stakeholder Relationships This position works closely and collaboratively with all Energy Exemplar staff but in particular: • Solutions Team (APAC) • Sales and Account Management Team (APAC) • Support Team (APAC/MRA) • Product Development Team (Global) • Data Team (Global) Key Accountabilities and Duties The following list is provided to set an expectation of the ‘core’ responsibilities of the role but is not intended to be an exhaustive list that covers all tasks that may be required on a day-to-day basis. As a rapidly growing business, it should be expected that the role and associated tasks are likely to evolve over time and that there will be situations where tasks not listed below will need to be undertaken to support region and business growth initiatives. Accountabilities • This role oversees production of energy market fundamental model components and standalone models working out of our Pune office using PLEXOS and Aurora • Oversee the Pune Dataset Team’s development and maintenance of APAC Power and Natural Gas Market models/dataset using PLEXOS and Aurora Day to day duties • Lead a team of energy data analysts (with between 1 to 5 years of experience) • Responsible for ensuring the completion and delivery of accurate updates of specific fundamental data work products as part of PLEXOS dataset development • Responsible for leading power markets research, analyzing and manipulating data and processing data for input into power market models • Benchmarking etc. end-to-end process of creation and upgrading of production cost models • Responsible for maintaining large databases of energy related data. Data sources include data-providers, industry publications, regulatory agencies and web research. • Running PLEXOS and/or Aurora and interpreting output model results and energy balances • Comparing models and reviewing preliminary forecast output results for inconsistencies to ensure deliveries meet product scopes and specifications • Communicate to IDC Analyst team about market modelling best practices and implementing improvements to research and model development • Problem solving and interpretation of market models and ability to detect errors and omissions • Troubleshoot market models and intermediate work products for errors, omissions, and improvements. Candidate Requirements Skills, Knowledge and Experience: • An extensive background in energy market modelling • High level of numeracy, computer, and web literacy. • A firm understanding of energy economics for power market fundamentals and economic concepts of power markets (and ability to explain these): Reserve Margins, Implied Market Heat Rate, Spark/Dark Spread, etc. • Knowledge of production cost modelling software’s like PLEXOS (preferred), Aurora or Promod, or similar are required • Good Knowledge of Power Plant/Natural Gas Economics, Power Systems, Gas supply chain, Operation research/Optimization techniques, statistics, and Energy (Power &/ Gas) Markets/Industry is required . • Demonstrated ability to work autonomously and see projects/assignments through from start to finish. • Self-starter, organized, persistent, goal driven, has a can-do attitude, takes challenges as opportunities to perform and add value • Demonstrated ability to delegate responsibilities and to manage diverse overlapping projects • Diligent, systematic, and pays attention to detail to ensure work accuracy and quality • Continuously looks at ways to add value to the company by taking the initiative in improving processes and identifying business opportunities • Excellent problem solver • Punctual, Professional work and phone etiquette Experience: • 8+ years of experience with Energy Modeling and Power Market Analysis • Knowledge of and hands on experience working in several APAC regional power markets possessing in-depth knowledge of their regulation and market operations (e.g.: India, NEM, Philippines…) • Experience with natural gas markets in Europe and North America would be desirable • Strong analytical and problem-solving skills with the ability to research and learn new techniques • Experience in creating and analyzing energy data sets for power models • Experience working at a market operator, project developer, or at a utility in planning or commercial operations would be an asset • Consulting work experience providing fundamental analysis and expert opinion for project valuations desirable • Knowledge of one or more energy economic modeling tools: PLEXOS, Aurora, PROMOD, PSO, Market Analytics and/or PROSYM • Strong organizational skills, familiarity with Agile/Sprint Best Practices • Expert skills using Excel, Power BI and similar tools. Qualifications: • Master’s degree or Ph.D in Economics (preferred), Electric Engineering (Transmission preferred), or Mathematics. Energy Exemplar is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all team members. We welcome applications from people of all backgrounds, experiences, identities, and abilities. Please let us know if you require accommodations at any stage of the recruitment process—we're here to support you in showcasing your full potential. Energy Exemplar respects your privacy and is committed to protecting the personal data you share during the recruitment process. This Candidate Privacy Notice explains how we collect, use, and protect your personal information when you apply for a role with us.

We are looking for an experienced Customer Service Manager to provide excellent customer service and to promote this idea throughout the organisation. The goal is to keep the department running in an efficient and profitable manner, to increase customer satisfaction, loyalty and retention and to meet their expectations. Responsibilities Improve customer service experience, create engaged customers and facilitate organic growth Take ownership of customers issues and follow problems through to resolution Set a clear mission and deploy strategies focused towards that mission Develop service procedures, policies and standards Keep accurate records and document customer service actions and discussions Analyse statistics and compile accurate reports Recruit, mentor and develop customer service agents and nurture an environment where they can excel through encouragement and empowerment Keep ahead of industrys developments and apply best practices to areas of improvement Control resources and utilise assets to achieve qualitative and quantitative targets Adhere to and manage the approved budget Maintain an orderly workflow according to priorities This job is provided by Shine.com

We are looking for an experienced Customer Service Manager to provide excellent customer service and to promote this idea throughout the organisation. The goal is to keep the department running in an efficient and profitable manner, to increase customer satisfaction, loyalty and retention and to meet their expectations. Responsibilities Improve customer service experience, create engaged customers and facilitate organic growth Take ownership of customers issues and follow problems through to resolution Set a clear mission and deploy strategies focused towards that mission Develop service procedures, policies and standards Keep accurate records and document customer service actions and discussions Analyse statistics and compile accurate reports Recruit, mentor and develop customer service agents and nurture an environment where they can excel through encouragement and empowerment Keep ahead of industrys developments and apply best practices to areas of improvement Control resources and utilise assets to achieve qualitative and quantitative targets Adhere to and manage the approved budget Maintain an orderly workflow according to priorities This job is provided by Shine.com

We are looking for a Data Analyst Associate to join our product team and help transform data into actionable insights. In this role, you will work closely with the Product Manager, Product Associate and other stakeholders to analyse user behavior, track key metrics and support data-driven decision-making. If you have a strong analytical mindset, attention to detail and a passion for using data to derive valuable insights, we’d love to hear from you! Key Responsibilities Data Collection & Management Gather, clean and maintain structured and unstructured datasets from multiple sources. Ensure data integrity and accuracy by identifying discrepancies and inconsistencies. Document and maintain data definitions, metrics, and tracking implementations. Analysis & Reporting Conduct exploratory data analysis (EDA) to uncover trends, correlations, and insights. Monitor key product metrics (e.g., retention, engagement, conversion rates) and report on performance. Create dashboards and automated reports using BI tools (e.g., Looker, Tableau, Power BI). Product & Funnel Analysis Analyze user journeys, drop-off points, and behavioral patterns to optimize product flows. Identify opportunities to improve product features through data-backed insights. Collaborate with the Product Manager to define success metrics for new features and updates. Cross-Functional Collaboration Work closely with Product, Engineering and Marketing teams to provide data insights. Assist in setting up tracking and event-based analytics (e.g., Google Analytics, Mixpanel, Amplitude). Support ad-hoc data requests from different teams to inform business decisions. Who You Are Analytical Thinker: You enjoy solving complex problems and drawing meaningful insights from data. Detail-Oriented: You ensure accuracy in data collection, reporting, and analysis. Curious & Proactive: You love digging into data to uncover trends and areas for improvement. Good Communicator: You can translate complex data insights into clear, actionable recommendations. Qualifications & Skills Education & Experience Bachelor’s degree in Data Science, Statistics, Mathematics, Economics, Computer Science , or a related field. 0-2 years of experience in data analysis, reporting, or business intelligence (internships count!) Technical Skills Proficiency in SQL for querying and manipulating data. Experience with Excel/Google Sheets for data visualization and analysis. Familiarity with BI tools like Tableau, Power BI, or Looker (bonus). Knowledge of Google Analytics, Mixpanel, or Amplitude is a plus. Soft Skills Strong problem-solving and critical-thinking skills. Ability to work in a fast-paced, dynamic environment. Eagerness to learn and grow in the field of data analytics.

We are looking for an experienced Customer Service Manager to provide excellent customer service and to promote this idea throughout the organisation. The goal is to keep the department running in an efficient and profitable manner, to increase customer satisfaction, loyalty and retention and to meet their expectations. Responsibilities Improve customer service experience, create engaged customers and facilitate organic growth Take ownership of customers issues and follow problems through to resolution Set a clear mission and deploy strategies focused towards that mission Develop service procedures, policies and standards Keep accurate records and document customer service actions and discussions Analyse statistics and compile accurate reports Recruit, mentor and develop customer service agents and nurture an environment where they can excel through encouragement and empowerment Keep ahead of industrys developments and apply best practices to areas of improvement Control resources and utilise assets to achieve qualitative and quantitative targets Adhere to and manage the approved budget Maintain an orderly workflow according to priorities This job is provided by Shine.com

We are looking for an experienced Customer Service Manager to provide excellent customer service and to promote this idea throughout the organisation. The goal is to keep the department running in an efficient and profitable manner, to increase customer satisfaction, loyalty and retention and to meet their expectations. Responsibilities Improve customer service experience, create engaged customers and facilitate organic growth Take ownership of customers issues and follow problems through to resolution Set a clear mission and deploy strategies focused towards that mission Develop service procedures, policies and standards Keep accurate records and document customer service actions and discussions Analyse statistics and compile accurate reports Recruit, mentor and develop customer service agents and nurture an environment where they can excel through encouragement and empowerment Keep ahead of industrys developments and apply best practices to areas of improvement Control resources and utilise assets to achieve qualitative and quantitative targets Adhere to and manage the approved budget Maintain an orderly workflow according to priorities This job is provided by Shine.com

We are looking for an experienced Customer Service Manager to provide excellent customer service and to promote this idea throughout the organisation. The goal is to keep the department running in an efficient and profitable manner, to increase customer satisfaction, loyalty and retention and to meet their expectations. Responsibilities Improve customer service experience, create engaged customers and facilitate organic growth Take ownership of customers issues and follow problems through to resolution Set a clear mission and deploy strategies focused towards that mission Develop service procedures, policies and standards Keep accurate records and document customer service actions and discussions Analyse statistics and compile accurate reports Recruit, mentor and develop customer service agents and nurture an environment where they can excel through encouragement and empowerment Keep ahead of industrys developments and apply best practices to areas of improvement Control resources and utilise assets to achieve qualitative and quantitative targets Adhere to and manage the approved budget Maintain an orderly workflow according to priorities This job is provided by Shine.com