37 Statistical Concepts Jobs

On a typical day at XPO India Shared Services, you will be responsible for conceiving and developing end-to-end solutions with a focus on Data Science and Engineering. This will involve utilizing Artificial Intelligence, Machine Learning & Deep Learning Algorithms, Statistical Concepts, Data modelling, Generative AI, Software Development, Cloud Computing, and Visualizations. Your primary objective will be to troubleshoot technical issues in existing processes and current development work, seeking assistance from other roles and groups as needed to ensure the integrity of platform quality and project timelines. In addition, you will work on improving shared standard patterns, templates, and artifacts for data science platform architecture, data science development approaches, data models, new technology adoption, and rollout. Collaboration with upstream and downstream IT and business teams to identify and document use cases, performance and capability requirements, and criteria for successful solution delivery will also be an essential part of your role. Moreover, you will play a crucial role in mentoring other team members on technical skills, best practices, problem-solving approaches, and standard patterns used at XPO. Lastly, you will proactively generalize and share technical approaches and best practices among other developers, simplifying and communicating completed work to broader audiences across the company. To succeed in this role at XPO, you should have a minimum of a Bachelors or Master's degree in Computer Science, Data Science, Statistics, MIS, Engineering, Econometrics, Finance, Business, or a related field. You should also possess 3-5 years of Data Science experience in delivering business solutions that rely on data science, data analytics, artificial intelligence, or similar domains. Hands-on experience in delivering solutions in areas such as Data Modelling, Data Integration, Data Analysis, SQL, Data Science, Data Analysis, Geo Spatial, Finance, Econometrics, Cloud Computing, Big Data, and Database Management is required. Advanced knowledge of IT software development methodologies and processes in an agile environment is a plus. Exposure to Generative AI and LLMs will be beneficial. Transportation and logistics industry experience is also advantageous. In terms of technical skills, you should have solid experience applying analytical methods such as regression, data classification, reduction, Bayesian inference, or other advanced machine learning techniques. A deep understanding of statistical modelling, machine learning, deep learning, or data mining concepts is essential. Proficiency in technical database knowledge (BigQuery, Oracle) and experience optimizing SQL queries on large data is required. You should have advanced statistical theoretical and application experience. Additionally, proven experience in Exploratory Data Analysis and Visualization using R and Python (Numpy, Pandas, Scipy, Plotly, Matplotlib) is necessary. Familiarity with core principles of data modelling and data warehousing is expected. Expertise in handling complex SQL codes to deliver data-based solutions is crucial. Proficiency in Python, writing production-ready code, and a fundamental understanding of OOPs concepts are essential. Exposure to ML Platforms such as GCP, Azure, AWS is beneficial. Join XPO and be part of something big.,

Join us as a Core Treasury Associate. As a Core Treasury Associate, your primary responsibility will be to undertake the valuation of financial instruments, assess methodologies, and ensure compliance with standards. You will play a crucial role in supporting project and process improvement initiatives, collaborating with management to review and challenge team outputs. This role presents an exciting opportunity for you to embark on a new career challenge in an inclusive workplace that values the growth and well-being of all colleagues. The position is being offered at the associate level. In your day-to-day tasks, you will be responsible for providing financial instruments valuation, PruVal, bid-offer reserving, and other financial reporting in alignment with business requirements. Proactively engaging with internal and external stakeholders to address any process-related issues will also be a key aspect of your role. Additionally, you will be tasked with preparing monthly consolidated reports and governance reports, including franchise Independent Price Verification (IPV) or Valuation Committee packs. Conducting and assisting in meetings with key stakeholders, utilizing market data for IPV purposes, interacting with Quants and Front Office teams to address queries, and collaborating with business analysts for IPV changes and automations are also part of your responsibilities. Your focus on continuous improvement will be essential in enhancing operational efficiency alongside routine tasks. To excel in this role, you must possess strong numeracy and analytical skills. A solid understanding of banking products, including xVA, particularly FVA and CVA, interest rate curves, and FX, will be crucial. Practical experience in a valuation control or product control function, proficiency in Microsoft Office (especially Excel), and familiarity with basic statistical concepts are also necessary qualifications. Join us in this challenging yet rewarding opportunity as a Core Treasury Associate and contribute to the success of our dynamic team.,

Genpact is a global professional services and solutions firm dedicated to shaping the future through the delivery of outcomes. With over 125,000 employees in more than 30 countries, we are motivated by curiosity, agility, and a commitment to creating lasting value for our clients. Our purpose is driven by the relentless pursuit of a world that works better for people, enabling us to serve and transform leading enterprises, including the Fortune Global 500. We leverage our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. We are currently seeking applications for the position of Manager - Data Science. This role is crucial in supporting Commercial Analytics enablement, focusing on understanding business trends and providing data-driven solutions. Specifically within Customer Analytics, the emphasis is on bringing and scaling analytics solutions that enhance Customer centricity and transformation. The Analytics member plays a key role in providing analytic expertise and delivering valuable business insights to the Commercial organization. We are looking for a technically sound individual who is enthusiastic about working in a customer-centric environment. The ideal candidate should possess core data analytics experience in industries such as Life Sciences, Healthcare, or CPG, combined with hands-on technical skills in Python, SQL, and PowerBI. Key Responsibilities: - Implement Analytics for business decision support, utilizing statistical/machine learning models and delivering measurable impact - Proficiency in Python/R, SQL, visualization tools (PowerBI or Tableau), MS Excel, and MS PowerPoint for delivering insights and results - Familiarity with deep learning concepts, cognitive cloud APIs from AWS/Azure, Docker, and MLOps is preferred - Experience in business analytics within the Pharma/CPG sector in the Healthcare domain - Ability to handle various data sources, develop reporting capabilities, and derive valuable insights - Automation of data preparation through data pipelines and insights/report creation - Convert business needs into BRD & TRD, develop implementation roadmap, and execute on time - Proactively respond to requests for ad hoc analyses - Strong verbal and written communication skills - Ownership of tasks without supervisory follow-up - Proactive planner capable of working independently to manage responsibilities - Demonstrates personal drive and positive work ethic to deliver results within tight deadlines and demanding situations Qualifications: Minimum Qualifications / Skills: - Masters or bachelor's degree in engineering (BE/B-Tech, BCA, MCA, BSc/MSc) - Masters in science or related field Preferred Qualifications / Skills: - Excellent written and verbal communication skills with experience in customer interfacing roles - Strong requirement understanding, analytical, and problem-solving abilities - Interpersonal efficiency and positive attitude If you are a motivated individual with a passion for data science and analytics, we invite you to join our team at Genpact and contribute to shaping the future of business analytics.,

Mavenir is building the future of networks and pioneering advanced technology, focusing on the vision of a single, software-based automated network that runs on any cloud. As the industry's only end-to-end, cloud-native network software provider, Mavenir is transforming the way the world connects, accelerating software network transformation for 250+ Communications Service Providers in over 120 countries, which serve more than 50% of the world's subscribers. Role Summary Plans, designs, develops and tests software systems or applications for software enhancements and new products including cloud-based or internet-related tools. Key Responsibilities Very good expertise in Machine Learning (Classical) and Deep Learning Candidates with Reinforcement Learning experience will be preferred. Very good expertise in Data Science and Statistical concepts Excellent in building ML models using Tensorflow & Pytorch frameworks. Expertise in Python and SQL. Candidates with experience in applying ML in Telecom preferred (not mandatory) Basic Qualification - M.S or Phd in AI/Data Science/CS Job Requirements Very good expertise in Machine Learning (Classical) and Deep Learning Candidates with Reinforcement Learning experience will be preferred. Very good expertise in Data Science and Statistical concepts Excellent in building ML models using Tensorflow & Pytorch frameworks. Expertise in Python and SQL. Candidates with experience in applying ML in Telecom preferred (not mandatory) Basic Qualification - M.S or Phd in AI/Data Science/CS Accessibility Mavenir is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. If you require any assistance, please state in your application or contact your recruiter. Mavenir is an Equal Employment Opportunity (EEO) employer and welcomes qualified applicants from around the world, regardless of their ethnicity, gender, religion, nationality, age, disability, or other legally protected status.

As a Data Analyst at Auditorsdesk, a cloud-based e-auditing software company based in Delhi, you will play a crucial role in transforming raw data into actionable insights to drive business success through analytics. Your responsibilities will include collecting and analyzing large datasets to identify trends, patterns, and insights. You will be developing and maintaining data pipelines using Python for efficient data extraction, transformation, and loading (ETL) processes. Collaboration with cross-functional teams to understand business requirements and provide data-driven insights will be a key aspect of your role. Additionally, you will design and implement data visualization solutions to communicate findings and support decision-making. Performing exploratory data analysis to uncover hidden trends and correlations in the data will also be part of your day-to-day tasks. It is essential to stay current with industry trends and best practices in data analytics and Python programming. To excel in this role, you must have proven experience in Python programming and a strong proficiency in using Python libraries for data manipulation and analysis (e.g., Pandas, NumPy, SciPy). Experience with data visualization tools such as Tableau, Power BI, or Matplotlib is required. A solid understanding of statistical concepts and data modeling techniques is also essential. Excellent problem-solving skills, attention to detail, and strong communication skills to effectively convey complex findings to non-technical stakeholders are qualities we are looking for. You should have the ability to work both independently and collaboratively in a fast-paced environment. This is an on-site internship position based in New Delhi with a compensation of INR 15,000 per month. Immediate joiners will be given preference, and only shortlisted candidates will be contacted for interviews. If you are passionate about data analytics, data science, and problem-solving, we encourage you to apply for this exciting opportunity to be part of our dynamic team at Auditorsdesk.,

As a professional responsible for handling end-to-end client AI & analytics programs in a dynamic environment, your role will encompass a diverse range of tasks including hands-on contribution, technical team management, and client interaction. You should possess an M-Tech/PhD from a reputable Institute, preferably in a quantitative subject, along with over 18 years of practical experience in applied Machine Learning, AI, and analytics. Proficiency in scientific programming using scripting languages like Python, R, SQL, NoSQL, and Spark, coupled with expertise in ML tools and Cloud Technology (AWS, Azure, GCP), is essential. Familiarity with Python libraries such as numpy, pandas, sci-kit-learn, tensor-flow, scrapy, BERT, etc., is also required. A solid understanding of machine learning, deep learning, data mining, and statistical concepts is crucial, along with a proven track record of developing models and solutions in these domains. Your role will also involve engaging with clients, comprehending complex problem statements, and proposing solutions in areas like Supply Chain, Manufacturing, CPG, Marketing, among others. Additionally, desirable skills include a deep knowledge of ML algorithms for common use cases in structured and unstructured data ecosystems, comfort with large-scale data processing and distributed computing, and providing necessary inputs to sales and pre-sales activities. Being a self-starter who can thrive with minimal guidance and possessing excellent written and verbal communication skills are also highly advantageous. (ref:hirist.tech),

You should have 1-3 years of work experience to apply for this job opportunity. Unico Connect is a forward-thinking technology company dedicated to pushing the boundaries of what's possible in the digital world. We are seeking an experienced Senior Data Scientist to join our team. In this role, you will work on a wide range of exciting projects, from deriving actionable insights from complex data sets to leveraging machine learning and AI tools for innovative solutions. As a Senior Data Scientist at Unico Connect, your responsibilities will include: - Analyzing complex data sets to derive valuable insights for strategic decision-making. - Collaborating with development teams to enhance data collection and storage architectures. - Developing compelling data visualizations, interactive dashboards, and reports to improve user experience. - Defining and ensuring proper tracking of application events in collaboration with product managers and developers. - Creating and setting up dashboards showcasing real-time usage metrics and behavioral data. - Addressing specific business challenges by responding to ad hoc data requests and conducting analyses. - Communicating analytical findings through comprehensive reports and visualizations to guide strategic planning and process improvements. - Implementing measures to ensure data accuracy and reliability. - Staying updated with the latest data analytics tools and technologies to continuously enhance data science capabilities. - Providing data-driven insights and supporting decision-making processes within cross-functional teams. - Utilizing statistical techniques and machine learning algorithms to create predictive and prescriptive models. - Training and supporting team members and stakeholders in data science techniques and tools. Requirements for this position include: - Bachelors or Masters degree in Computer Science, Data Science, or a related field. - Minimum of 2 and Maximum 3 years of experience as a Data Scientist or in a similar role. - Proficiency in Python or R, and SQL for data manipulation and analysis. - Experience with data visualization tools like Power BI, Tableau or similar. - Strong understanding of statistical concepts and machine learning algorithms. - Familiarity with databases and data warehousing concepts. - Excellent analytical and problem-solving abilities with a strong attention to detail. - Effective at conveying technical findings to non-technical stakeholders. - Strong time-management skills for handling multiple projects and deadlines. - Ability to work both independently and collaboratively within a team.,

As a member of Kainskep Solutions, you will be part of a human, friendly, engaging, supportive, agile, and super collaborative culture that values teamwork, ownership, innovation, challenge, and collaboration. We believe in the strength of a diverse team and are committed to creating a diverse and inclusive environment. In this role, you will utilize programming languages such as Python, R, and SQL for data manipulation, statistical analysis, and machine learning tasks. You will apply fundamental statistical concepts and develop supervised and unsupervised machine learning models. Evaluating model performance, conducting data manipulation and visualization, and performing exploratory data analysis will be key aspects of your responsibilities. To excel in this position, you should possess a Bachelor's degree or higher in Computer Science, Statistics, Mathematics, or a related field. Proficiency in programming languages like Python, R, and SQL, as well as strong analytical skills, are essential. The ability to learn quickly, adapt to new technologies and methodologies, and prior experience in data analysis or machine learning are advantageous. Additionally, experience in Computer Vision, Generative AI techniques, and Microsoft AI technologies would be beneficial. The job type is full-time, offering benefits such as a flexible schedule and paid sick time. The work schedule is Monday to Friday, with an in-person work location. The expected start date for this role is 24/03/2025.,

The Model/Anlys/Valid Analyst I is a trainee professional role that requires a good knowledge of processes, procedures, and systems essential for carrying out assigned tasks. You should have a basic understanding of the underlying concepts and principles relevant to the job. It is important to have a good grasp of how your team collaborates with others to achieve the area's objectives. Your role involves making evaluative judgments based on factual information and resolving problems by applying acquired technical experience. While being guided by precedents, you must identify and select solutions effectively. Communication skills are crucial as you need to exchange information concisely and logically while being sensitive to audience diversity. The impact of your work on the business is limited to your own job. Responsibilities: - Develop, enhance, and validate methods for measuring and analyzing risk across all risk types such as market, credit, and operational risks. - Assist in preparing both routine and ad-hoc reports in alignment with the Risk Management Team's priorities, conducting integrity checks on reports, and verifying key numbers from other independently created reports. - Support projects aimed at continuously improving risk analytics, modeling, and validation systems, as well as optimizing reports. - Demonstrate understanding of database structures, key business categories, internal banking processes, and statistical/mathematical concepts. - Utilize strong analytical and process management skills to ensure quality control over generated data. - Collaborate with senior and junior staff in executing projects and reports as needed. - Assess risk appropriately during business decision-making processes, with a focus on protecting the firm's reputation and safeguarding Citigroup, its clients, and assets by ensuring compliance with laws, rules, and regulations, adhering to policies, exercising ethical judgment, and addressing control issues transparently. Qualifications: - Proficiency in Microsoft Office, particularly MS Excel. - Consistent demonstration of clear and concise written and verbal communication skills. - Self-motivated and detail-oriented. Education: - Bachelor's/University degree or equivalent experience. If you are a person with a disability and require a reasonable accommodation to use our search tools or apply for a career opportunity, please review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.,

As a member of KPMG in India, you will be part of a professional services firm affiliated with KPMG International Limited. Established in India in August 1993, KPMG professionals leverage a global network of firms while being well-versed in local laws, regulations, markets, and competition. With offices across various Indian cities, including Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara, and Vijayawada, we offer services to national and international clients across diverse sectors. Your role involves collaborating with business stakeholders and cross-functional subject matter experts to gain a deep understanding of the business context and key questions. You will be responsible for creating Proof of Concepts (POCs) and Minimum Viable Products (MVPs), guiding them through production deployment and operationalization. Additionally, you will play a crucial role in influencing machine learning strategy for Digital programs and projects, ensuring that solution recommendations strike a balance between speed to market and analytical soundness. Utilizing a variety of commercial and open-source tools such as Python, R, and TensorFlow, you will develop analytical and modeling solutions. By combining machine learning algorithms with other techniques, you will formulate model-based solutions and design algorithms to extract information from large datasets. Your responsibilities will also include deploying algorithms to production, comparing results from different methodologies, and recommending optimal techniques. Furthermore, you will work on multiple pillars of Artificial Intelligence (AI), including cognitive engineering, conversational bots, and data science. It will be essential to ensure that solutions demonstrate high levels of performance, security, scalability, maintainability, and reliability upon deployment. Your role will involve leading discussions, providing thought leadership, and sharing subject matter expertise in machine learning techniques, tools, and concepts. To be successful in this role, you are required to have a Bachelor of Science or Bachelor of Engineering at a minimum. A combination of business focus, strong analytical and problem-solving skills, and programming knowledge is necessary to iterate quickly through the discovery phase of projects. Proficiency in statistical concepts, machine learning algorithms, and programming languages like R and Python is crucial. Additionally, experience with data management tools such as Microsoft Azure or AWS is preferred. You should possess good knowledge of Agile principles and processes, the ability to lead and manage teams effectively, and excellent communication skills. Being a self-motivated problem solver who can work independently and collaboratively is essential for this position. If you are passionate about data science, machine learning, and driving impactful business results through innovative solutions, we encourage you to apply. Qualifications: - Bachelor of Science or Bachelor of Engineering at a minimum - Strong analytical and problem-solving skills - Proficient in statistical/programming software and data querying languages - Experience with Microsoft Azure or AWS data management tools - Knowledge of descriptive and exploratory statistics, predictive modeling, and machine learning algorithms - Proficiency in Agile principles and the ability to lead and manage teams - Excellent communication and presentation skills If you hold a B.Tech, M.Tech, MCA, or M.Sc degree and meet the above qualifications, we invite you to join our team and contribute to our mission of delivering cutting-edge solutions to our clients.,

Key Responsibilities Collect, analyze, and interpret product and user data to identify trends, opportunities, and pain points. Partner with Product Managers to define and track KPIs for product performance and success metrics. Conduct competitor and market analysis to provide insights that inform product roadmap decisions. Collaborate with engineering and design teams to ensure data tracking and reporting are accurate. Build dashboards, reports, and ad-hoc analyses to share actionable insights with stakeholders. Support A/B tests, feature launches, and experiments by providing pre/post analysis. Translate complex data into clear, concise presentations and recommendations. Continuously monitor product adoption, retention, and engagement to uncover opportunities for optimization. Requirements Bachelors degree in Business, Economics, Statistics, Engineering, Computer Science, or related field. 24 years of experience in product analytics, business analytics, or a related role. Strong proficiency in SQL and data visualization tools (e.g., Tableau, Power BI, Looker). Experience with analytics platforms (e.g., Google Analytics, Mixpanel, Amplitude). Understanding of A/B testing, statistical concepts, and product metrics (DAU, MAU, retention, churn, etc.). Excellent problem-solving skills and ability to translate data into business insights. Strong communication and storytelling skills to present data clearly to technical and non-technical stakeholders. Nice to Have Experience in SaaS, e-commerce, or consumer tech products. Familiarity with Python/R for advanced data analysis. Knowledge of Agile/Scrum methodologies. Exposure to user research and qualitative data. Show more Show less

Job Description Who We Are: Saks is a world-renowned luxury ecommerce destination. The companys unique approach combines a focus on the digital customer experience with a strong connection to a network of extraordinary stores that extends that seamless experience into the real world. On its website and app, Saks offers an unparalleled selection of curated merchandise across fashion for women and men, beauty, jewelry, home dcor and more. In addition to the shopping experience, customers come to Saks for inspiring editorial content, access to digital stylists, lifestyle experiences and other world-class services. The company is currently in the midst of a dramatic expansion, driven by significant enhancements to its platforms and offerings, with the goal of becoming the preeminent destination for luxury internationally. Role Summary Reports to Manager - Demand Planning. Works closely with Merchandising Planning, Buying teams in North America and other teams as necessary. Key Qualifications Graduate/PG with 1 to 3 years of relevant work experience. Preference will be work experience in retail industry with working knowledge in supply chain Analytical, Advanced excel, problem solving skills and knowledge on forecasting Data management and interpretation using statistical concepts Strong planning and operational skills Ability to communicate clearly and effectively Proficiency in excel and good knowledge of other MS Office tools Ability to work well with others and contribute to a positive environment. Highly motivated and committed to the development of high-quality work SQL and VBA Macros knowledge will be a plus Role Description Core execution: Creating accurate reports for the assigned business area Collaborate with Planners and Buyers to manage Replenishment inventory through accurate forecasting and rectifying all relevant components to achieve department in stock goals. Has the concept/grasp of Stock-store Minimums/Presentation minimum, Maximums, Safety stock, Review Time, Lead time, Store to store transfers etc. Stock Balancing : Maintain in-stock goals through effective product distribution. Analyze sales history and trends to maximize sales potential by developing allocation strategies that maintain proper store inventory levels. Historical Analysis: Analyze and summarize business performance of product categories, monitor sales, inventory, margin and other factors affecting In-stocks & profitability. Operation: End to end ownership of categories. Ownership of business and operational metrics. Execute Strategies: Execute strategies to drive supply chain initiates to support alternative forms of fulfillment Communication: Ensure timely and proactive communication with key stakeholders Your Life And Career At Saks Exposure to rewarding career advancement opportunities A culture that promotes a healthy, fulfilling work/life balance Benefits package for all eligible full-time employees (including medical, vision and dental). Thank you for your interest in Saks. We look forward to reviewing your application. Saks provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability Saks welcomes all applicants for this position. Should you be individually selected to participate in an assessment or selection process, accommodations are available upon request in relation to the materials or processes to be used. Saks.com is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Show more Show less

As a Data Scientist with over 5 years of experience, you will be responsible for leveraging your strong analytical and problem-solving skills along with your programming knowledge to drive hypothesis quickly through the discovery phase of projects. You will be expected to have advanced skills in statistical/programming software such as R, Python, and data querying languages like SQL, Hadoop/Hive, Scala. Additionally, you should possess hands-on experience in feature engineering, hyperparameter optimization, and producing high-quality code, tests, and documentation. Your role will involve utilizing Microsoft Azure or AWS data management tools like Azure Data Factory, Data Lake, Azure ML, Synapse, and Databricks. An understanding of descriptive and exploratory statistics, predictive modeling, evaluation metrics, decision trees, machine learning algorithms, optimization & forecasting techniques, and deep learning methodologies is crucial. Proficiency in statistical concepts, ML algorithms, and Agile principles is required. You will be expected to lead, manage, build, and deliver customer business results through data scientists or a professional services team. Strong communication skills are essential for sharing ideas effectively, summarizing and communicating data analysis assumptions and results. Being self-motivated, proactive, and capable of working both independently and in teams is important for success in this role. Experience in supply chain functions, AI/ML applications within CPG or Healthcare business environments, Pyomo, Mosel, truck load optimization, multi-echelon inventory optimization (MEIO), NLP, Vision, AR/VR, creating CI/CD pipelines using Jenkins, MLOPs framework implementation, and data security on ML models would be beneficial. Hands-on experience in developing ML-driven models is a plus. If you meet the above requirements and are keen on joining our team, please share your CV directly at career@roitech.biz.,

The Model Risk Management (MRM) team at ICE is seeking a Risk Analyst to join their global Enterprise Risk Management function. As a Risk Analyst, you will collaborate with the MRM team to independently validate quantitative models used across ICE's business units. Your role will involve communicating testing results within the group and beyond, as well as providing targeted analytics services for financial risk models. By applying statistical, mathematical, and computational methods, you will ensure that models are aligned with their design objectives and business applications. Your responsibilities will include validating and supporting models, methodologies, and risk reporting across the organization. You will analyze validation reports, extract meaningful insights from data, and craft a cohesive narrative to communicate the findings effectively. Additionally, you will document methods, techniques, and results meticulously, ensuring the clarity, consistency, and accuracy of model validation reports. Engaging with stakeholders, you will deliver presentations of analytical findings and identify opportunities for report enhancements and automation. To qualify for this role, you should hold a Master's degree or higher in Economics, Finance, Statistics, Mathematics, or a related field. Strong analytical and problem-solving skills are essential, along with a deep understanding of statistical concepts such as descriptive statistics, data visualization, probability, and linear models. Proficiency in programming languages like Python or R, as well as SQL, is required. Moreover, excellent presentation, verbal communication, and business writing skills are necessary, along with demonstrated expertise in data exploration and critical thinking. Preferred qualifications for the position include at least 2 years of experience in financial/economic data analysis. Additionally, progress towards industry certifications like FRM and CFA, as well as familiarity with Tableau for visual analytics, would be advantageous. Join the MRM team at ICE to contribute to model validation and risk management practices, while continuously seeking opportunities for improvement and innovation.,

You are a highly skilled and experienced Senior Tableau Developer who will be joining our growing data visualization team. Your role will involve creating compelling and insightful dashboards and visualizations to transform complex data into actionable insights for business stakeholders. Your responsibilities will include designing, developing, and maintaining interactive Tableau dashboards and visualizations, connecting to various data sources, performing data modeling and transformation, creating complex calculations, parameters, and calculated fields, developing and maintaining Tableau Server workbooks and data sources, collaborating with business stakeholders to gather requirements, selecting and implementing appropriate statistical methods and visualizations, providing training and support to end-users, staying up-to-date with the latest Tableau features and best practices, contributing to the development of data visualization standards and guidelines, performing performance tuning and optimization of Tableau dashboards, troubleshooting and resolving Tableau-related issues, and mentoring junior Tableau developers. To qualify for this role, you should have a Bachelor's degree in Computer Science, Information Systems, Statistics, or a related field, along with 5+ years of experience developing Tableau dashboards and visualizations. You should have advanced proficiency in Tableau Desktop and Server, a strong understanding of statistical concepts and methods, experience with data warehousing concepts and relational databases, and excellent analytical and problem-solving skills. Additionally, you should have the ability to communicate complex technical and statistical concepts to non-technical audiences, strong collaboration and communication skills, and experience with other data visualization tools like Power BI and Qlik Sense. If you have Tableau certification, it will be considered a plus.,

About KPMG in India KPMG entities in India are professional services firm(s) affiliated with KPMG International Limited since August 1993. Leveraging the global network of firms, professionals at KPMG in India are well-versed in local laws, regulations, markets, and competition. With offices across various cities in India such as Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara, and Vijayawada, KPMG entities offer services to national and international clients across sectors. The services aim to be rapid, performance-based, industry-focused, and technology-enabled, reflecting a deep understanding of global and local industries and the Indian business environment. Major Duties & Responsibilities - Collaborate with business stakeholders and cross-functional SMEs to understand business context and key questions. - Develop Proof of concepts (POCs) / Minimum Viable Products (MVPs) and guide them through production deployment. - Influence machine learning strategy for Digital programs and projects. - Provide solution recommendations balancing speed to market and analytical soundness. - Explore design options, assess efficiency and impact, and develop approaches for improvement. - Develop analytical / modelling solutions using commercial and open-source tools like Python, R, TensorFlow. - Formulate model-based solutions by combining machine learning algorithms with other techniques. - Design, adapt, and visualize solutions based on evolving requirements. - Create algorithms to extract information from large, multiparametric data sets. - Deploy algorithms to production for actionable insights from large databases. - Compare and recommend optimal techniques from various methodologies. - Develop and embed automated processes for predictive model validation, deployment, and implementation. - Work on multiple pillars of AI including cognitive engineering, conversational bots, and data science. - Ensure solutions meet high standards of performance, security, scalability, maintainability, and reliability. - Lead discussions, provide thought leadership, and expertise in machine learning techniques. - Facilitate sharing of ideas, learnings, and best-practices across geographies. Required Qualifications - Minimum Bachelor of Science or Bachelor of Engineering. - Strong analytical, problem-solving skills, and programming knowledge. - Proficiency in statistical/programming software (e.g., R, Python) and data querying languages (e.g., SQL, Hadoop/Hive, Scala). - Hands-on skills in feature engineering and hyperparameter optimization. - Experience in producing high-quality code, tests, documentation. - Familiarity with Microsoft Azure or AWS data management tools. - Understanding of descriptive and exploratory statistics, predictive modelling, decision trees, machine learning algorithms, and deep learning methodologies. - Proficiency in statistical concepts and ML algorithms. - Knowledge of Agile principles and process. - Ability to lead, manage, build, and deliver customer business results through data scientists or professional services team. - Strong communication skills and ability to share ideas effectively. - Self-motivated, proactive problem solver, capable of working independently and in teams. QUALIFICATIONS - B.Tech/M.Tech/MCA/M.Sc,

The Machine Learning Intern position is an opportunity for a passionate and motivated individual to join our team and collaborate with data science and engineering teams. As a Machine Learning Intern, you will be involved in building, testing, and deploying machine learning models for real-world applications. Your responsibilities will include assisting in data collection, cleaning, preprocessing, and analysis. You will also develop and test machine learning models using Python and relevant libraries such as scikit-learn, TensorFlow, and PyTorch. Additionally, you will be responsible for supporting model evaluation and optimization for performance improvement, working on real-time ML use cases, and contributing to deployment pipelines. Documenting findings, results, and processes in a clear and organized manner, as well as collaborating with cross-functional teams on research and development projects, will also be part of your role. To excel in this role, you must have a strong understanding of machine learning algorithms and statistical concepts. Proficiency in Python and libraries like NumPy, pandas, and Matplotlib is essential. Familiarity with ML frameworks such as TensorFlow, Keras, PyTorch, and scikit-learn, as well as knowledge of data preprocessing and model evaluation techniques, are required. Strong problem-solving and communication skills are also crucial for success in this position. This is a full-time position that requires working on-site. If you are passionate about machine learning and eager to apply your skills in a real-world setting, we encourage you to apply for the Machine Learning Intern role.,

You are an experienced professional with over 13 years of total experience, specializing in machine learning. You have a proven track record of delivering impactful solutions in Natural Language Processing (NLP), machine vision, and Artificial Intelligence (AI). Your proficiency includes programming languages like Python or R, as well as experience with data manipulation libraries such as Pandas and NumPy. You possess a strong understanding of statistical concepts and techniques, applying them effectively to real-world problems. Your expertise extends to deep learning frameworks like TensorFlow, PyTorch, or JAX, along with machine learning libraries like scikit-learn. You have proficient experience with Generative AI frameworks such as GANs, VAEs, prompt engineering, and retrieval-augmented generation (RAG), applying them to real-world scenarios. Additionally, you have exposure to graph-based models, knowledge graphs, and related query languages. In your role, you demonstrate hands-on skills in data engineering and building robust ML pipelines. You are experienced in working with personalization engines and integrating digital marketing platforms. Your responsibilities include architecting scalable, cloud-based AI/ML solutions on platforms like AWS, Azure, or GCP, integrating data pipelines and AI services. You possess excellent communication skills and collaborate effectively with cross-functional teams. Your daily tasks involve writing and reviewing high-quality code, understanding clients" business use cases and technical requirements, and translating them into elegant technical designs. You are adept at identifying different solutions and selecting the best option that aligns with clients" needs. Defining guidelines and benchmarks for non-functional requirements (NFRs) during project implementation is also part of your responsibilities. Moreover, you write and review design documents, explaining the overall architecture, framework, and high-level design of applications for developers. You review architecture and design aspects like extensibility, scalability, security, design patterns, user experience, and NFRs, ensuring adherence to best practices. You develop the overall solution for defined functional and non-functional requirements, defining technologies, patterns, and frameworks to bring it to fruition. Your qualifications include a Bachelor's or Master's degree in computer science, Information Technology, or a related field.,

As a Data Analyst at Tesco, you will be responsible for analyzing complex datasets and presenting insights through visual storytelling and visualization tools such as Tableau and PyDash. Your role will involve ensuring data quality and integrity, completing tasks within agreed KPIs, and supporting automation of tasks like report generation and dashboard refresh. You will engage with market partners to understand business problems, translate them into analytical questions, conduct specified analysis, and present actionable insights to decision-makers. Additionally, you will be expected to write well-structured and efficient code, contribute to the development of knowledge assets, and generate practical insights that drive business decisions. To excel in this role, you should have a basic understanding of business decisions, 1-2 years of experience in analytics delivery, and proficiency in domains like retail, CPG, telecom, or hospitality. Knowledge of Tableau, Basic Statistical Concepts, Advanced Excel, SQL, and experience with tools like Hive, Hadoop, Teradata, and Alteryx/Python will be beneficial. At Tesco, we value our colleagues and offer a competitive reward package based on industry practices. This includes performance bonuses, generous leave entitlement, retirement benefits, health and wellness programs, financial coaching, and opportunities to become Tesco shareholders. Our aim is to support your physical, mental, and financial wellbeing to help you thrive in both your personal and professional life. Tesco in Bengaluru is a diverse team dedicated to serving customers, communities, and the planet. We strive to create a sustainable competitive advantage by standardizing processes, delivering cost savings, and empowering our colleagues. With a focus on innovation and agility, we aim to shape the future of the business and become the partner of choice for talent, transformation, and value creation.,

It is exciting to be part of a company where individuals wholeheartedly BELIEVE in the mission! The company is dedicated to bringing enthusiasm and a customer-centric approach to the operations. As a Data Scientist, you will be required to work on the end-to-end data science pipeline, demonstrating the ability to meticulously design efficient data models, training data samples, training pipelines, and inference pipelines to ensure reproducibility. You should possess a strong background in evaluating various AI/ML outputs and models such as recommender systems, similarity scoring, classification, and regression. Your role will involve breaking down complex business challenges into manageable sub-tasks that can be addressed with AI/ML solutions to facilitate decision-making at scale. A solid understanding of statistical concepts and empirical methods that influence post-modeling decisions like sorting, ranking, and selection is essential. You must have substantial experience in transitioning Proof of Concepts (PoCs) and experimental models into production-grade AIML systems. Collaborating effectively with ML engineering and MLOps teams is crucial to deploying AI/ML models, constructing and serving models through APIs, and integrating AI/ML models into web applications. The role requires the ability to lead mid-sized teams, strategize project tracks centered around AI/ML and data science, and strike a balance between delegation and hands-on development. Applying a first-principles approach to tackle data science problems, communicating data requirements to data engineering teams, and elucidating model outputs to business users are key responsibilities. Engaging with business users to comprehend requirements and translating them into technical data science challenges is imperative. Effectively communicating and translating model algorithms and outputs to non-technical users and stakeholders is expected. Proficiency in agile methodologies and project management practices is essential. Creating efficient user stories and other agile project artifacts should come naturally. If you thrive in a dynamic environment and enjoy collaborating with enthusiastic high-achievers, a rewarding career opportunity awaits you here! If this opportunity does not align with your current aspirations, please express your interest in future openings by clicking on Introduce Yourself in the top-right corner of the page or setting up email alerts for relevant job postings.,

Teesta Investment is a pioneering proprietary trading HFT startup specializing in trading and market-making global digital assets in India. We are known for our exceptional expertise, knowledge, and global reach in various financial instruments and digital currencies. Our firm prides itself on innovative and forward-thinking approaches to digital asset trading, which is reflected in our daily operations. Leveraging our extensive knowledge of market trends and developments, we aim to help markets achieve price efficiencies. As a member of our rapidly expanding research team based out of our Kolkata office, you will play a crucial role in identifying, modeling, and developing successful trading strategies for both centralized and decentralized crypto exchanges. Your analytical skills will be instrumental in capitalizing on trading opportunities, optimizing performance, and managing risks in the dynamic cryptocurrency landscape. Your responsibilities will include: - Conducting thorough research to design trading strategies tailored to cryptocurrency markets. - Collaborating with the development team to implement and fine-tune trading strategies. - Performing rigorous backtesting and maintaining the performance of trading strategies. - Developing analytical tools to enhance strategy analysis and decision-making. - Managing trading risk and ensuring the smooth operation of software and trade processes. - Engaging with OTC teams to execute trades and meet trading requirements. - Monitoring auto trading strategies, addressing discrepancies, and reporting to senior management. - Maintaining open communication with team leads for market updates and technical insights. Our ideal candidate should possess a Master's or PhD in Applied Mathematics, Computer Science, Statistics, or related fields, along with a Bachelor's Degree in financial services or technology-related disciplines. Additionally, you should have 3+ years of experience in quantitative analysis, trading, or market making within financial markets. Proficiency in programming languages like Python, C++, Rust, Go, MATLAB, and R, with a focus on real-time data analysis, is required. Familiarity with Tick by Tick Data (TBT) and market microstructures is preferred, along with advanced mathematical and statistical knowledge applied in trading contexts. Strong proficiency in MS-Excel, exceptional numerical and analytical skills, and the ability to thrive in a competitive, fast-paced environment are essential. You should be detail-oriented, possess excellent communication skills, and demonstrate the ability to handle confidential information with discretion. The role requires working independently, exercising sound judgment, and efficiently solving complex problems. In addition to a challenging and rewarding role, we offer perks such as access to an in-house snack bar, meal reimbursements, gym memberships, sponsorship for higher education, relocation benefits, and health insurance for you and your dependents. We are seeking candidates who are passionate about pushing the boundaries of finance and technology, and are enthusiastic about promoting alternative assets and digital financial systems. Adaptability to a fast-growing environment, with evolving roles and responsibilities, tight deadlines, and a high degree of autonomy, is crucial for success in this position.,

As a Senior/Lead Analyst at Evalueserve, you will be a part of the Risk and Quant Solutions (RQS) department, which is a rapidly growing practice within the organization. Your role will involve independently or collaboratively performing various model validation tasks aimed at addressing the financial needs of some of the world's largest institutions with innovative technology-driven solutions. Your responsibilities will include creating approach notes and testing plans for model validation, developing challenger models for benchmarking, reviewing model implementation, conducting model risk analysis, stress testing, and drafting validation reports with detailed findings and recommendations. You will be expected to leverage your expertise in applied quantitative disciplines, such as Econometrics, Statistics, or Financial Mathematics, to enhance decision-making processes and improve banking challenges. To excel in this role, you should possess a master's or bachelor's degree in a relevant quantitative discipline, a strong foundation in stochastic calculus, statistical and econometric concepts, and proficiency in programming languages like Python, R, or Matlab. Additionally, experience with QuantLib and C++ will be advantageous. Your ability to think creatively, articulate ideas effectively, and communicate complex concepts to diverse audiences will be essential in this dynamic and growth-oriented environment. At Evalueserve, we offer a vibrant and inclusive culture that values work-life balance, diversity, and equal opportunities for all. If you are looking to elevate your impact through innovation and learning, we encourage you to explore further by reaching out to us at careers@evalueserve.com to discover more about our culture and what it's like to work with us.,

Navi is a rapidly growing financial services company in India that offers a range of products including Personal & Home Loans, UPI, Insurance, Mutual Funds, and Gold. The mission of Navi is to provide digital-first financial solutions that are easy to use, accessible, and affordable. Leveraging our in-house AI/ML capabilities, technology, and product expertise, Navi is dedicated to creating exceptional customer experiences. As a Navi_ite, you should embody the following qualities: - Perseverance, Passion, and Commitment: Demonstrate dedication, passion for Navi's mission, and ownership by going above and beyond in your responsibilities. - Obsession with high-quality results: Consistently deliver value to customers and stakeholders by producing high-quality outcomes, ensuring excellence in all work aspects, and achieving high standards through efficient time management. - Resilience and Adaptability: Quickly adapt to new roles, responsibilities, and changing circumstances while demonstrating resilience and agility. The role involves: - Monitoring delinquent accounts to meet Company standards - Evaluating underwriting model stability and recommending policy actions to increase approval rates or reduce risk - Developing and maintaining loss forecasting models and ECL provisioning for accounting purposes - Implementing a portfolio monitoring and early warning alert system for loan book health - Utilizing data for decision-making, ensuring data accuracy, defining metrics for process improvement, and identifying areas for product and process enhancement through customer segmentation and analysis - Working with the engineering and data platform team to ensure data availability and reliability Desired Candidate Profile: - Experience in managing multiple stakeholders - Startup mindset - Team building skills - Proficiency in SQL, any BI platform (Tableau, PowerBI, Qlikview, Looker, Quicksight, etc.) - Understanding of basic statistical concepts and data platforms - Ability to identify relevant data for solving business problems and validating hypotheses - Prior experience in data modeling in R/Python and classification/regression techniques (Good to have) - Prior experience/understanding of lending/insurance/banking domain (Good to have),

As a Lead Assistant Vice President Decision Sciences at HSBC, you will play a crucial role in ensuring the accuracy and compliance of models and tools developed within the organization. Your responsibilities will include undertaking model validation activities as per the Global Model Risk Policy, validating remediation activities completed by the ILOD, and working with stakeholders to embed new policies and procedures. You will be responsible for providing written reports detailing validation results, leading model validation activities, and delivering high-quality validation reports that add value to the business. Your role will also involve communicating across technical quantitative, business, and strategic levels to ensure stakeholders understand model risks and limitations. To excel in this role, you will need to have the ability to present complex statistical concepts to non-technical audiences effectively, possess strong communication and interpersonal skills, and demonstrate high attention to detail. Furthermore, you should have experience in effective report writing, the drive to understand, and the ability to prioritize competing demands while meeting dynamic requirements. Ideally, you should hold a Bachelors, Masters, or PhD degree in a quantitative discipline such as Financial Mathematics, Statistics, Econometrics, Quantitative Finance, Economics, or Engineering. Additionally, having at least 10 actuarial exams, preferably fully qualified, along with 5-10 years of experience in the insurance industry will be advantageous. Join HSBC to make a real impact and be part of a global banking and financial services organization that values your contributions. Your work will not only help businesses thrive and economies prosper but also enable individuals to fulfill their aspirations and ambitions. Please note that personal data related to your employment application will be handled in accordance with HSBC's Privacy Statement available on the website of HSBC Electronic Data Processing (India) Private LTD.,

The Data Visualization, Business Analytics role is vital for the organization as it involves transforming intricate data into visual insights for key stakeholders, facilitating informed decision-making and strategic planning. You will collaborate with business leaders to recognize and prioritize data visualization requirements. Your responsibilities will include designing interactive dashboards and reports to illustrate essential business metrics and trends. You will create visually appealing charts, graphs, and presentations that are easily understandable. Furthermore, it is essential to develop and uphold data visualization best practices and standards. As part of the role, you will utilize various data visualization tools and platforms to present insights effectively. Conducting data analysis to identify patterns and trends for visualization purposes will be a key task. Implementing user interface (UI) and user experience (UX) principles to enhance visualization is crucial. Providing training and support to team members on data visualization techniques is also part of the responsibilities. Additionally, you will be responsible for performing ad-hoc analysis and data mining to support business needs. Collaboration with data engineers and data scientists to ensure data accuracy and integrity is essential. It is important to stay updated with industry trends and best practices in data visualization and business analytics. Presenting findings and insights to key stakeholders in a clear and compelling manner will be a regular task. Communication with cross-functional teams to understand data requirements is vital. You will contribute to the continuous improvement of data visualization processes and techniques. The role requires a Bachelor's degree in Data Science, Business Analytics, Computer Science, or a related field. Proven experience in data visualization, business intelligence, or related roles is necessary. Proficiency in data visualization tools like Tableau, Power BI, or D3.js is essential. Strong analytical and problem-solving skills are required. Expertise in SQL for data querying and manipulation is a must. An understanding of statistical concepts and data modeling is crucial. Excellent communication and presentation skills are necessary. The ability to work effectively in a fast-paced and dynamic environment is essential. Knowledge of business operations and strategic planning is required. Experience in interpreting and analyzing complex datasets is beneficial. Familiarity with data warehousing and ETL processes is a plus. Managing multiple projects and deadlines simultaneously, being detail-oriented with a focus on data accuracy and quality, working collaboratively in a team setting, and possessing strong business acumen and understanding of key performance indicators are important skills for this role.,