529 Statistical Analysis Jobs - Page 9

Kshema General Insurance Limited (Kshema) was established in 2018 and is India's only Digital Agri Insurance Company catering to farmers/cultivators in the Agriculture Sectors. Kshema enables cultivators with resilience from financial distress due to extreme climate events and perils through localised insurance products. Kshema is leveraging Technology to provide cutting edge insurance solutions to farmers. Kshema has a pan India presence with more than 500+ employees on roles along with 500+ employees as contractors. Required Knowledge & Experience: Looking for a Minimum of 12 years of relevant experience. Understanding of financial risk management, hedging strategies and knowledge of ALM. To develop a financial risk management framework/strategy as per company's business objectives and risk appetite. To develop, improve, and update financial risk appetite, policies, and tolerances as per changing business/market dynamics. To work collaboratively with the senior management team and credibly challenge strategies/policies based on independent risk assessments/inputs to facilitate risk-based decision-making. To conduct research/statistical analysis to assess the frequency and severity of risk events through stress testing, sensitivity analysis, etc. To develop, calibrate, and run high-quality risk models for quantification and assessment of risk. To identify material changes in risk profile proactively and emerging risks. To perform financial risk reviews for Market and Credit risk. To ensure ALM risk management - liquidity risk and interest rate risk. To ensure the execution of hedging strategies and monitoring their effectiveness continuously. To use a sound understanding of derivative instruments for the creation of hedging strategies. To monitor/analyze key financial matrices and assess the potential impact of changes in them on the company's financial strength. To develop and document the risk methodology and policies/procedures. To ensure continuous improvement in risk management framework and monitoring tools. Requirements: Educational Qualification: Preferred MBA with engineering background/CA. Certifications: FRM/IRM.,

About Bharat Banking Bharat Banking is a new Department which has been set up to drive different business that the Bank does in Semi Urban and rural markets. The department is expected to drive business outcomes by focusing on partnerships, new products, innovation, reimagining customer journeys and driving / creating new channel. About the Role The Relationship Manager will be responsible for nurturing client relationships through continuous client engagements and risk profiling. The RM will be responsible for identification of potential customers and providing them customized solutions as per their requirements. The center of all client engagements will be to ensure superior customer experience. Key Responsibilities Develop and maintain business relationships with select group of customers through individualized customer service Handle customers queries and provide superior service to the mapped customers Ensure timely delivery of customers enquiries and instructions, whilst ensuring that the Bank s delivery standards in achieving total customer satisfaction are met Deepen the existing relationships by cross selling the Banks products and services/ third party products Achieve the New To Bank, cross-sell and portfolio retention targets as assigned by the organization Responsible for portfolio irregularities, management (Renewals / Pending Renewals /Stock Statement / Insurances/Other compliances) and portfolio achievement basis delinquency numbers Ensure achievement of month end enhancement disbursements Qualifications Graduate/ MBA (Marketing) preferred 2 - 5 years of experience in the BFSI sector Role Proficiencies For successful execution of the job, a candidate should possess the following: Knowledge of industry, technology, marketing, and product trends Knowledge of regulatory guidelines and norms Good communication (both verbal and written) skill in both English and the local language Ability to handle pressure and meet deadlines Strong Excel and database manipulation skills, financial and statistical analysis skill

You should be proficient in programming languages such as Python and R. You must have a strong understanding of machine learning algorithms and frameworks like TensorFlow, PyTorch, and scikit-learn. Experience with conversational AI platforms, especially Oracle Digital Assistant, is preferred. Additionally, you should have familiarity with data processing tools and platforms such as Apache Spark and Hadoop. It is essential to be familiar with Oracle Cloud Infrastructure (OCI) and its services for deploying ODA & AI/ML models. Experience with natural language processing (NLP) techniques and libraries like NLTK and SpaCy is required. Understanding deep learning architectures for NLP, such as transformers and BERT, is a plus. Knowledge of containerization and orchestration tools like Docker and Kubernetes is beneficial. Moreover, you should possess skills in statistical analysis and data visualization using the R-language. This position is full-time and requires working the morning shift. Ideally, candidates should have at least 2 years of experience in AI/ML. The work location is in person.,

Candidates for this position are preferred to be based in Bangalore, India and will be expected to comply with their team's hybrid work schedule requirements. Wayfair Data Science is the engine that powers an enterprise obsessed with data. The Wayfair websites generate over 100M clicks from the millions of customers that visit our sites every day to discover and purchase home goods. The Customer Tech Data Science team is focused on understanding and optimizing customer behavior on the website and mobile application as a key enabler for the company to move fast and iterate quickly on big business problems. At their core, the Customer Tech Data Science team at Wayfair are strong in quantitative analysis, enjoy coding but also want to balance that with their interest in business and applying advanced modeling techniques. They think critically to tackle complex challenges, thrive in a fast-paced environment and are seeking a high-growth opportunity where they will have an immediate impact on day one. There are significant opportunities for new team members to emerge as leaders, taking on additional projects and responsibilities with strong performance. As a Data Scientist at Wayfair, you will play a critical role in uncovering insights that shape strategic decisions and improve business performance. You will conduct in-depth analysis across large-scale datasets (clickstream, sales, product, logistics, and customer data) to uncover trends, gaps, and business opportunities. You will champion the use of emerging technologies to transform how data is explored and insights are uncovered. Additionally, you will become a subject matter expert on key business metrics and customer behavior, drive innovation in business analysis, collaborate with cross-functional partners, design and interpret A/B tests, and build scalable dashboards and reports using various tools. To be successful in this role, you should have a Bachelor's degree in a quantitative discipline, 2-4 years of work experience in analytics or data science, proficiency in programming languages like Python, R, or SAS, strong knowledge of SQL, experience in conducting quantitative analyses on complex datasets, familiarity with data visualization software, and excellent analytical, communication, and problem-solving skills. Experience in e-commerce or retail analytics is a plus. Wayfair is a global online destination for home goods, committed to industry-leading technology and creative problem-solving. Join us for rapid growth, continuous learning, and dynamic challenges that will define the most rewarding work of your career. Your personal data is processed in accordance with Wayfair's Candidate Privacy Notice. For any privacy-related questions or requests, please contact dataprotectionofficer@wayfair.com.,

Aarki is an AI-driven company specializing in mobile advertising solutions designed to fuel revenue growth. Leveraging AI technology, we discover audiences in a privacy-first environment through trillions of contextual bidding signals and proprietary behavioral models. Our audience engagement platform encompasses creative strategy and execution. With over 14 years of experience in the industry, we manage 5 million mobile ad requests per second from over 10 billion devices, driving performance for publishers and brands. Headquartered in San Francisco, CA, we have a global presence across the United States, EMEA, and APAC. We are looking for a motivated and detail-oriented Applied Scientist to join our team. As an Applied Scientist, you will play a key role in designing and implementing machine learning models and data pipelines to enhance our programmatic demand-side platform (DSP). Collaborating closely with senior research scientists and other team members, you will contribute to impactful data science projects and innovative solutions. This position is based in our Bengaluru, India office and requires on-site presence five days a week. Join us in our mission to push the boundaries of AI and mobile advertising in a collaborative environment that nurtures creativity and growth. We offer a competitive salary, comprehensive benefits, and ample opportunities for career advancement. **Role & Responsibilities:** - Develop and deploy machine learning models at scale to tackle challenges in programmatic advertising like user response prediction, bid landscape forecasting, and fraud detection. - Conduct exploratory data analysis and apply statistical techniques to derive insights and support decision-making. - Build and maintain data pipelines to ensure efficient processing and integration of large-scale data for model training and evaluation. - Collaborate with senior data scientists and cross-functional teams to integrate models into production systems and applications. - Assist in establishing best practices for model deployment, monitoring, and performance assessment. - Stay abreast of recent developments in machine learning and data science, applying relevant techniques to solve complex problems and enhance our platform. - Contribute to exploring and adopting new methodologies and technologies to advance our data science capabilities. **Skills & Experience:** - Minimum of six years in data science with practical experience in machine learning, statistical analysis, and data modeling. - Bachelor's degree in Mathematics, Physics, Computer Science, or a related technical field. Master's degree is a plus. - Additional proficiency in programming languages like Rust, C++, Java, and Scala, as well as large-scale data processing systems is preferred. - Familiarity with RTB, auction theory, and high-throughput low-latency environments is advantageous. - Strong proficiency in machine learning techniques such as regression, classification, and clustering. Experience with Python and libraries like Scikit-Learn, TensorFlow/PyTorch. - Proficiency in Python and SQL, familiarity with Spark, and experience with TensorFlow/PyTorch and Scikit-Learn libraries. - Solid understanding of probability, statistics, and data analysis. - Ability to work effectively within a team environment, with excellent communication skills to articulate complex concepts to diverse stakeholders.,

We are seeking a passionate and motivated Junior Python Data Scientist to join our expanding data team. This position offers an excellent opportunity for recent graduates or individuals with up to one year of experience who are enthusiastic about applying their Python and data analysis skills to real-world challenges. As a Junior Python Data Scientist, you will be involved in meaningful projects focused on data preparation, analysis, and the development of machine learning models, all under the guidance of experienced data scientists. Your responsibilities will include cleaning, transforming, and analyzing data utilizing Python, pandas, and NumPy. You will also play a key role in supporting the development and evaluation of machine learning models using tools such as scikit-learn and TensorFlow. Additionally, you will conduct statistical analyses to extract valuable insights and identify trends, as well as contribute to building data pipelines and automating data processes. Communication of findings and presentation of insights in a clear and concise manner will be an essential part of your role. Collaboration with cross-functional teams, including data engineers, product managers, and software developers, is also a key aspect of this position. The ideal candidate for this role should have at least one year of hands-on experience with Python for data analysis or machine learning. Familiarity with pandas, NumPy, scikit-learn, and TensorFlow is required. A solid understanding of core statistical concepts and basic exploratory data analysis (EDA) is essential. Knowledge of machine learning models such as linear regression, decision trees, or classification algorithms is preferred, and exposure to advanced ML algorithms and Deep Learning is a plus. Strong problem-solving and analytical thinking skills, along with good communication and documentation abilities, are also important qualities we are looking for. A Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field is required, or currently pursuing one. Preferred qualifications include completed coursework, certifications, or personal projects related to ML or Data Science. Exposure to version control (e.g., Git), Jupyter notebooks, or cloud environments is advantageous. We are looking for candidates who are enthusiastic about learning and growing in the data science field.,

You will join the Data Science team at BOLD, where you will utilize your analytical skills and business acumen to provide valuable insights to the Product and Management teams. Your primary responsibility will involve leveraging extensive user data sets to drive product development, enhance current products, and identify relationships within the data to develop new products. The Data Science department at BOLD focuses on discovering patterns and trends in datasets, creating predictive algorithms and data models, improving product quality using machine learning techniques, providing insights to other teams and top management, and utilizing data tools like Python and SQL. This team collaborates with various vertical teams such as Engineering, Portals, BI, Product, and Legal on projects that involve natural language processing and machine learning, including resume parsing, ranking, summary generation, data quality and scoring, job recommendations, and more. Your role will involve working on data science projects encompassing predictive modeling, NLP, statistical analysis, machine learning, and more. You will use the rich user data sets to conduct research, develop models, and collaborate with Development & Product teams to create data products. Additionally, you will work on developing scalable data systems using machine learning techniques to enhance user experience, experiment with different Large Language models, and improve the job seeker experience through agentic workflows. To excel in this role, you should have knowledge and experience in statistical and machine learning algorithms, proficiency in Python, experience with backend technologies like Flask/Gunicorn, and familiarity with open-source libraries such as Spacy, NLTK, Gensim, and deep-learning libraries like TensorFlow and PyTorch. You should also be a keen learner, have experience with prompt engineering and vector databases, and ideally be familiar with Langchain and/or Llamaindex. Experience with Cloud infrastructure (Azure, AWS), deploying models using tools like Jenkins, and understanding career/recruiting domain taxonomies like O*Net would be beneficial. The ideal candidate should have at least 2.5 years of experience as a Software Engineer or 4.5 years as a Senior Software Engineer. In return for your contributions, BOLD offers outstanding compensation, competitive salary, tax-friendly compensation structure, bi-annual bonus, annual appraisal, equity in company, full health benefits, flexible time away, and additional benefits like internet and home office reimbursement, catered meals, certification policy, and cab facilities. About BOLD: BOLD is a global organization dedicated to transforming work lives by helping people find jobs through digital products that empower individuals to create impressive resumes, cover letters, and CVs. We celebrate diversity and inclusion, fostering an environment where experts, learners, contributors, and creatives thrive together.,

You will be joining KPMG in India, a professional services firm affiliated with KPMG International Limited since its establishment in August 1993. Leveraging a global network of firms, we provide services to national and international clients across various sectors with offices in multiple cities across India. As part of the Financial Crimes specialist team, your role will involve providing solutions to BFSI clients through model validation testing for AML risk models and frameworks, sanctions screening, and transaction monitoring systems. We are seeking individuals with advanced data science and analytics skills to support our team in addressing the challenges associated with financial crime. Your responsibilities will include but are not limited to supporting functional SME teams in building data-driven Financial Crimes solutions, conducting statistical testing of screening matching algorithms and risk rating models, validating data models of AML systems, and developing AML models to detect suspicious activities and transactions. You will collaborate with cross-functional teams to analyze data for model development and validation, prepare detailed documentation and reports, and assist in feature engineering for automation of AML-related investigations. To qualify for this role, you should have a Bachelor's degree from an accredited university, at least 3 years of hands-on experience in Python with knowledge of frameworks like Java, Fast, Django, Tornado, or Flask, experience with Relational and NoSQL databases, proficiency in BI tools such as Power BI and Tableau, and an educational background in Data Science and Statistics. Additionally, expertise in machine learning algorithms, statistical analysis, and familiarity with regulatory guidelines for AML compliance are essential. Preferred qualifications include experience in AML model validation, statistical testing of risk models, and familiarity with AML technology platforms. Hands-on experience with data analytics tools like Informatica and Kafka is also desirable. If you are looking to contribute your advanced analytics skills to combat financial crime and support leading financial institutions in adhering to industry best practices, this role offers you the opportunity to work on challenging projects and develop professionally in a dynamic environment.,

As a Senior Specialist Business Consultant (AI - Data Consultant) at NiCE, you will have the exciting opportunity to focus on delivery excellence and drive increased adoption and bottom-line ROI from our AI solutions portfolio within the NiCE AI Center of Excellence Organization. In this role, you will work closely with client stakeholders and NiCE Solution Consultants to service clients in AI, self-service, contact center, and process improvement. Leveraging data insights, you will help clients realize value and enhance system adoption, fostering long-term relationships with client stakeholders and NiCE Business Consultants. Your role will emphasize data analytics, strategy, and processing, requiring high individual accountability and a commitment to exceeding the needs of business partners. Your responsibilities will include collecting and interpreting large data sets of customer KPIs, identifying patterns and trends, and providing actionable recommendations to business executives. You will create models of data correlation between business KPI improvement and adoption of NiCE solution capabilities, collaborate with internal Business Consultants to define account strategies, and enhance consulting value achievement methodology through scalable and repeatable models and processes. Additionally, you will develop continuous improvement programs, design and deploy automated BI solutions, provide deep insights and recommendations based on data analysis, and communicate complex analysis to stakeholders. To be successful in this role, you should have a Bachelor's degree in Business, Computer Science, Mathematics, or a related field, along with 12+ years of relevant professional experience in BI, data science, statistical analysis, machine learning, or enterprise reporting. Advanced SQL and Python skills are preferred, as well as experience with Power BI and Tableau. Your domain experience in contact center analytics, exceptional attention to detail, competency in Microsoft Excel, and ability to work independently in a dynamic environment will be key to your success. Strong communication, problem-solving, negotiation, and influencing skills are essential, along with the ability to work with clients and business partners directly. Joining NiCE means being part of a global company that values innovation, growth, and continuous learning. As a NiCEr, you will work in a fast-paced, collaborative, and creative environment with endless internal career opportunities. The NiCE-FLEX hybrid model offers flexibility with 2 days of office work and 3 days of remote work each week, fostering teamwork, collaborative thinking, and innovation. If you are passionate, innovative, and ready to push boundaries, NiCE may be the perfect place for you to thrive and grow.,

As the Director of Real Estate Services (Capital Projects) at Mastercard, you will be an integral part of the Corporate Services team, providing strategic support services for the organization's core businesses. The Real Estate Services (RES) department plays a crucial role in managing real estate transactions, capital projects, environmental sustainability, workplace safety, data center management, facilities management, and lease administration across the global portfolio. In this role, you will be responsible for driving operational and financial process efficiencies and standardization across Mastercard's global real estate portfolio. Your expertise in real estate strategies, financial metrics, stakeholder engagement, and build/construction management will be essential in managing multiple operational and financial complexities. Key Responsibilities: - Collaborate with regional and global teams to develop and deliver the annual capital plan in a globally consistent manner. - Oversee individual country/city capital programs to enhance user experience, drive cost optimization, and provide best value for the business. - Manage capital project financial planning, compliance governance, and risk management. - Ensure optimization and consistency in scope, cost, schedule, risk, quality, documentation, training, and communications management. - Partner with various internal functions to deliver an integrated capital program strategy. - Drive workplace design and build management in line with Mastercard's global guidelines and sustainability principles. Experience & Skillsets: - Thorough understanding of corporate real estate principles and concepts in a multi-regional portfolio. - Strong financial acumen and ability to engage with executive leadership effectively. - Experience in outsourcing in corporate real estate and supplier partner management. - Excellent interpersonal skills to build rapport with stakeholders across geographies. - Strategic thinker with strong analytical skills and ability to provide thought leadership. - Proficient in Microsoft Office tools with an analytical mindset. - Willingness to travel as required. - 10-12 years of experience working with multi-cultural real estate teams. - Educational background in Finance, Architecture, Interior Design, Engineering, or AWS preferred. - Professional accreditations in relevant disciplines such as project management, sustainability, facility management, or real estate management are desirable. If you are a dynamic professional with a passion for driving excellence in corporate real estate management and seeking a challenging role in a global organization, this opportunity at Mastercard may be the perfect fit for you.,

In this role, you're expected to provide an integrated end-to-end credit underwriting, identification, measurement, management, monitoring, and reporting for wholesale credit businesses across the enterprise. The ICM In-Business Quality Assurance function (QA) verifies that established standards and processes are followed and consistently applied. You will execute and participate in the Quality Assurance Reviews (QARs), providing feedback, insights, and observations on any deficiency and areas of improvement. As the ICM In-Business Quality Assurance Data Analytics Vice President, you will engage with the management of the respective ICM business area, Independent Risk, and critical partner stakeholders and regulators. You will work closely with the In-Business Quality Assurance Head of Data Analytics to set the global strategy and lead the implementation of a robust Data analytics and testing program for the Quality Assurance function related to Wholesale Credit Risk (WCR) data governance. This role requires hands-on experience in designing, planning, prototyping, productionizing, deploying, maintaining, and documenting reliable and scalable data science solutions. Additionally, you will be responsible for deriving concrete insights from data, qualifying business impact, and monitoring and analyzing model performance and data accuracy. As a successful candidate, you ideally have relevant experience in data analytics, Wholesale Credit Risk, and leadership skills. You should possess strong communication skills, the ability to collaborate effectively with stakeholders at all levels, and a good understanding of risk and control framework in banks. You should also have solid organizational skills, a logical and methodical mindset, and the ability to work under pressure while managing time and priorities effectively. Your technical skills should include coding knowledge and experience with programming languages like Python, Java, C++, and experience working with and manipulating large sets of data. A Bachelors or Masters degree in a quantitative or equivalent field is required, along with proficiency in data analysis tools like SQL, Python, SAS, R, Alteryx, Splunk, and visualization tools like Tableau, Qlikview, MS Power BI. If you have a drive to learn and master new technologies, excellent problem-solving skills, and clear communication abilities, you are encouraged to apply for this role. This position offers an opportunity to lead complex Quality Assurance work, provide effective challenge on data and credit processes, and partner with stakeholders to drive sustainable remediation.,

Veramed prides itself on providing the highest quality statistics and programming consultancy for its clients, and offering its employees an industry-leading working environment with support and training for career growth. We are seeking a hands-on Programmer with attention to detail and a strong work ethic to work as part of the statistical and programming team, providing programming support to a variety of clients in the Veramed portfolio. This role provides the opportunity to progress towards becoming a Lead Programmer at Veramed. This role entails a wide variety of responsibilities and client exposure - you are certainly not pigeonholed. Below is a range of the types of tasks you could be carrying out on a daily basis: As with many roles at Veramed, you have the opportunity to shape their direction dependent on client needs and your own career. Some key responsibilities include: - Developing and maintaining complex SAS programs for data manipulation, statistical analysis, report generation, and data visualization. - Utilizing advanced SAS procedures and techniques. - Managing and manipulating large datasets, including data cleaning, transformation, and integration from various sources. - Applying statistical methodologies and techniques to analyze data and interpret results. - Collaborating with statisticians and other team members on study design and analysis plans. - Creating high-quality reports, tables, and graphs to effectively communicate data insights. - Ensuring the accuracy and validity of SAS programs and output through rigorous quality control procedures. - Adhering to regulatory guidelines and industry best practices. - Providing technical guidance and mentorship to junior programmers. - Serving as a subject matter expert in SAS programming. - Collaborating effectively with cross-functional teams, including statisticians, clinicians, data managers, and other stakeholders. - Identifying opportunities to improve programming efficiency and streamline processes. - Developing and implementing programming standards and best practices. - Creating and maintaining clear and concise documentation for SAS programs and analyses. Required Skills: - Advanced proficiency in SAS programming language and various SAS procedures. - Strong understanding of statistical concepts and methodologies. - Experience with data manipulation, cleaning, and transformation techniques. - Ability to write efficient and optimized SAS code. - Excellent problem-solving and analytical skills. - Strong communication and interpersonal skills. - Ability to work independently and as part of a team. Opportunities For: - Development into lead programmer or technical role. - Gaining experience across different therapeutic areas and phases. - Presenting at conferences. - Peer mentoring and/or line management. - Developing innovative solutions to aid study reporting. - Contributing to initiatives that consider employees, the environment, and local communities as part of our B Corp accreditation.,

As a member of our team, you will be responsible for managing organizational strategy and operations through the design and statistical analysis of business initiatives and experiments. Your role will involve collaborating with business partners to understand and address their needs and issues effectively. Utilizing advanced knowledge of statistics and data mining techniques, such as predictive modeling and simulation, you will identify patterns and insights from business data. Additionally, you will be tasked with designing, developing, and evaluating statistical and predictive models to drive business solutions. In this position, you will act as the lead statistician for the unit, providing expertise, oversight, and guidance on statistical analysis efforts. Communication of findings and recommendations to management across various departments will be a crucial aspect of your role. Furthermore, you will support implementation efforts and lead and mentor the team working in the Data Competency Centre. To excel in this role, you should possess a Bachelor's degree in data science, computer science, electrical engineering, applied statistics, or physics with 8-10 years of relevant work experience in Data Science, Artificial Intelligence, or Machine Learning algorithm development. Alternatively, a Master's degree with 5+ years of relevant work experience or a PhD with 4+ years of relevant work experience in the aforementioned fields will also be considered. A working knowledge of budgets and financial statements is required. Key skills and competencies for this position include demonstrated experience in managing teams, coaching team members to drive results, proficiency in programming languages and statistical software tools (such as Python, SAS, R, JMP), relational databases (SQL server), and data analysis and visualization software (preferably PowerBI, SAS). You should also have experience with standard data science and machine learning packages, as well as machine learning model tradeoffs and computer vision models. Strong communication skills are essential to effectively collaborate with various business partners and communicate complex data relationships and statistical model results. Your essential responsibilities will involve statistical analysis and model development in collaboration with business partners, internal teams, and Enterprise Data Management. You will explore data using statistical techniques to answer business questions, build hypotheses, and identify research data attributes. Additionally, you will lead the development of experimental designs for business initiatives, apply advanced statistical techniques, build predictive models, and deploy computer vision models to meet business needs. Providing guidance and direction related to statistical analysis, as well as effectively communicating and delivering statistical and predictive model results to business partners, are critical aspects of this role. You will report to the Head of Automation Digital Transformation USA and will have direct reports. Some travel may be required for this position. This is a full-time role based in Plot No.A-1/1 SIPCOT Industrial Park, Sriperumbudur, Tamil Nadu, 602105, IN. If you believe you meet the qualifications and can excel in fulfilling the responsibilities outlined for this role, we encourage you to apply. All candidates receiving an offer of employment must successfully complete a background check and any other required tests. Job Identification: 1021960 Job Category: NPI-HSRT Integration Data Science Posting Date: 07/17/2025, 12:17 AM Job Schedule: Full time Work Schedule: Normal Shift New (PMT),

As a Senior Data Scientist at AjnaLens in Thane (Maharashtra, India), you will play a crucial role in the Product Intelligence team. Your responsibilities will include delving deep into complex data, shaping product strategy, mentoring junior data scientists, and influencing strategic decisions. Your expertise in transforming data into actionable insights will contribute to the development of AI-powered experiences and wearable technologies, shaping the future of technology. In this leadership role, you will lead data analysis efforts to uncover insights that drive product and business strategy. Developing and implementing advanced predictive models will be a key aspect of your role, enabling long-term forecasting of customer retention and revenue impacts. Additionally, you will mentor and guide junior data scientists, fostering a data-driven culture within cross-functional teams. With a minimum of 5 years of experience in data science, you are expected to have a proven track record in predictive modeling, A/B testing, and driving data strategy within product teams. Your top skills should include expertise in advanced predictive modeling techniques, statistical analysis, and leading data-driven initiatives. Experience with A/B testing frameworks, customer behavior analytics, and effective communication skills are essential for translating complex findings into actionable recommendations for leadership and product teams. Your primary tasks will involve leading the design and implementation of data models to predict product performance, retention rates, and revenue growth. Conducting advanced statistical analysis to optimize AI features and interactions, mentoring junior data scientists, collaborating with cross-functional teams, and creating insightful dashboards and visualizations will be part of your daily responsibilities. Join us at AjnaLens as we co-create the future of conscious technology with our strategic investor Lenskart.,

You have a Bachelor's degree or equivalent practical experience along with 7 years of experience in data analytics, trust and safety, policy, cybersecurity, or related fields. Ideally, you also have experience in roles related to business analysis, statistical analysis, or Machine Learning. Additionally, proficiency in SQL, building dashboards, data collection/transformation, visualization/dashboards, or a scripting/programming language such as Python is preferred. You should possess experience in process/project management and have the ability to navigate and influence cross-team stakeholders. Your skills should enable you to solve large unstructured business problems in fraud investigations and risk management space, demonstrating excellent problem-solving abilities to process high amounts of data to drive business strategies and decisions effectively. As a member of the Trust & Safety team, you will be required to address significant challenges that impact the safety and integrity of Google products. Your responsibilities will involve leveraging technical expertise, problem-solving skills, user insights, and proactive communication to safeguard users and partners from abuse across various Google products like Search, Maps, Gmail, and Google Ads. You are expected to be a strategic thinker with a global perspective, collaborating with Google engineers and product managers to combat abuse and fraud cases swiftly and effectively. Your dedication to upholding trust in Google and ensuring the highest levels of user safety will be paramount in your role. Trust & Safety at Google is a dedicated team of experts striving to maintain user trust and combat abuse on a daily basis. By partnering with various teams within Google, we aim to implement innovative solutions to tackle abuse areas including malware, spam, and account hijacking. Comprising Analysts, Policy Specialists, Engineers, and Program Managers, we work tirelessly to minimize risks and combat abuse across all Google products, supporting users, advertisers, and publishers worldwide in over 40 languages. Your responsibilities will include conceptualizing and overseeing impactful projects that enhance user safety and experience in collaboration with cross-functional stakeholders such as Engineering, Product, Legal, Policy, Sales, and other Trust and Safety teams. You will be required to conduct investigative fraud and abuse analysis, generating actionable insights and recommendations. Identifying opportunities for new signals, automation, workflow enhancements, and operational efficiency gains will be key aspects of your role, with a focus on driving solutions to completion. Participation in the regular on-call coverage rotation to address sensitive issues and escalations will also be part of your duties. Furthermore, mentoring and providing guidance to team members will be essential for fostering growth and development within the team.,

About the Role As a skilled Lead Data Scientist at Yubi, you will play a crucial role in designing, developing, and deploying ML/ RL models for Collection Campaign Recommendations/ Optimizations. Your primary responsibility will be to experiment and optimize collection campaigns across digital, telecalling, and field platforms. Leveraging your expertise in machine learning and strong Python programming skills, you will drive innovation and deliver business value for our clients. Key Responsibilities - Develop, implement, and maintain advanced analytical models and algorithms tailored to enhance debt collection processes. - Collaborate with business stakeholders to identify data-driven opportunities for improving debt collection strategies. - Continuously enhance existing models and integrate new data sources to optimize our approach. - Take ownership of the end-to-end process of metric design, tracking, and reporting related to debt collection performance. - Regularly improve and update metrics to align with business objectives and regulatory requirements. - Effectively communicate findings to both technical and non-technical stakeholders. - Mentor, train, and support junior data scientists, fostering a culture of continuous improvement and collaboration. - Lead cross-functional teams on data projects, ensuring alignment between data science initiatives and business goals. - Stay updated on the latest industry trends, tools, and best practices in analytics and debt management. Required Skills Technical Skills: - Profound understanding of machine learning algorithms, including supervised, unsupervised, and ensemble methods, and their application to risk. - Expertise in statistical analysis, hypothesis testing, regression analysis, probability theory, and data modeling techniques to extract insights and validate machine learning models. - Experience in designing, developing, and delivering end-to-end data products and solutions. - Proficiency in model explainability techniques (e.g., SHAP, LIME) and regulatory compliance for risk models. - Strong proficiency in Python. - Familiarity with PySpark is a plus. - Ability to build and deploy models on cloud platforms (AWS). - Proficiency in developing backend microservices using Fast API and working knowledge of MLOps. - Good to have experience with NLP techniques. Domain Skills (Good to have): - Previous domain expertise in debt collection processes, credit risk assessment, regulatory compliance, and industry best practices. - Demonstrated ability to design, implement, and optimize performance metrics and key performance indicators tailored for debt recovery initiatives. Education and Experience: - Bachelor's/Advanced degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. - 5 to 8 years of experience in the data science and machine learning domain. - Experience in the financial sector or Collection team is a bonus.,

We are looking for the right individual to embrace the opportunity to tackle challenging problems and use their influence to drive continual improvement. You will use various methods to transform raw data into useful data systems. For example, you ll create algorithms and conduct statistical analysis. Overall, you ll strive for efficiency by aligning data systems with business goals. To succeed in this data engineering position, you should have strong analytical skills and the ability to combine data from different sources. Data engineer skills also include familiarity with several programming languages and knowledge of learning machine methods. Responsibilities Analyse and organize raw data Build data systems and pipelines Evaluate business needs and objectives Interpret trends and patterns Conduct complex data analysis and report on results Prepare data for prescriptive and predictive modelling Build algorithms and prototypes Combine raw information from different sources Explore ways to enhance data quality and reliability Identify opportunities for data acquisition Develop analytical tools and programs Collaborate with data scientists and architects on several projects Impact Youll Make: Requirements and skills Previous experience as a data engineer or in a similar role GCP experience is a must for this role Experience with Big query, GCS, Dataflow and other tools and techniques used for building pipeline is a must Good hands on experience in programming languages ( e.g. Java and Python) \ Technical expertise with data models, data mining, and segmentation techniques Hands-on experience with SQL and NoSQL database design Great numerical and analytical skills GCP Data engineering certification is a plus This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week. TransUnion Job Title Lead Engineer, Data Development

About Bharat Banking Bharat Banking is a new Department which has been set up to drive different business that the Bank does in Semi Urban and rural markets. The department is expected to drive business outcomes by focusing on partnerships, new products, innovation, reimagining customer journeys and driving / creating new channel. About the Role The Relationship Manager will be responsible for nurturing client relationships through continuous client engagements and risk profiling. The RM will be responsible for identification of potential customers and providing them customized solutions as per their requirements. The center of all client engagements will be to ensure superior customer experience. Key Responsibilities Develop and maintain business relationships with select group of customers through individualized customer service Handle customers queries and provide superior service to the mapped customers Ensure timely delivery of customers enquiries and instructions, whilst ensuring that the Bank s delivery standards in achieving total customer satisfaction are met Deepen the existing relationships by cross selling the Banks products and services/ third party products Achieve the New To Bank, cross-sell and portfolio retention targets as assigned by the organization Responsible for portfolio irregularities, management (Renewals / Pending Renewals /Stock Statement / Insurances/Other compliances) and portfolio achievement basis delinquency numbers Ensure achievement of month end enhancement disbursements Qualifications Graduate/ MBA (Marketing) preferred 2 - 5 years of experience in the BFSI sector Role Proficiencies For successful execution of the job, a candidate should possess the following: Knowledge of industry, technology, marketing, and product trends Knowledge of regulatory guidelines and norms Good communication (both verbal and written) skill in both English and the local language Ability to handle pressure and meet deadlines Strong Excel and database manipulation skills, financial and statistical analysis skill

Are you customer obsessed, flexible, smart and analytical, strategic yet execution focused and passionate about e-commerceAre you an experienced, entrepreneurial leader with a strong work ethicIf yes, this opportunity will appeal to you. IN Consumer BI Reporting and Analytics (COBRA) team is looking for a highly driven, customer-obsessed Business Intelligence Engineer who will be responsible for building BI platform team and supporting key decision making across the group. You ll analyze large amounts of data, discover and solve real world problems, build metrics and business cases around key projects and, most of all, be an integral part of creating a better customer and seller experience. We are looking for customer obsessed, data driven entrepreneurs to join our growing team. Solve some of the hardest problems for our customers and Sellers. If you want operate at start up speed, solve some of the hardest problems and build a service which customers love, Amazon.in might just be the place for you. The Business Intelligence Engineer is responsible for driving deep insights about Amazon Business and driving continuous improvement using the analysis. The person should have a detailed understanding of a business requirement or the ability to quickly get to the root cause of a particular business issue, and draft solutions to meet requirements or resolve the root problems. The BIE will create pipelines for reports to analyze data, make sense of the results and be able to explain what it all means to key stakeholders. This individual will analyze large amounts of data, discover and solve real world problems and build metrics and business cases around key performance of the P3P programs. The ideal candidate will use a customer backwards approach in deriving insights and identifying actions we can take to improve the customer experience and conversion for the program. Develop and streamline necessary dashboards and one-off analyses, providing ability to surface business-critical KPIs, monitor the health of metrics and effectively communicate performance. Partner with stakeholders and other Business Intelligence teams to acquire necessary data for robust analysis. Convert data into insights including implications and recommendations that are specific and actionable for the P3P team and across the business. Partner with other analysts as well as data engineering and technology teams to support building a best-in-class dashboards and data infrastructure. Communicate insights using data visualization and presentations to stakeholders The successful candidate will be an expert with analyzing large data sets and have exemplary communication skills. The candidate will need to be a self-starter, very comfortable with ambiguity in a fast-paced and ever-changing environment, and able to think big while paying careful attention to detail. 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared) Experience with scripting language (e.g., Python, Java, or R) Masters degree, or Advanced technical degree Knowledge of data modeling and data pipeline design Experience with statistical analysis, co-relation analysis

About Bharat Banking Bharat Banking is a new Department which has been set up to drive different business that the Bank does in Semi Urban and rural markets. The department is expected to drive business outcomes by focusing on partnerships, new products, innovation, reimagining customer journeys and driving / creating new channel. About the Role The Relationship Manager will be responsible for nurturing client relationships through continuous client engagements and risk profiling. The RM will be responsible for identification of potential customers and providing them customized solutions as per their requirements. The center of all client engagements will be to ensure superior customer experience. Key Responsibilities Develop and maintain business relationships with select group of customers through individualized customer service Handle customers queries and provide superior service to the mapped customers Ensure timely delivery of customers enquiries and instructions, whilst ensuring that the Bank s delivery standards in achieving total customer satisfaction are met Deepen the existing relationships by cross selling the Banks products and services/ third party products Achieve the New To Bank, cross-sell and portfolio retention targets as assigned by the organization Responsible for portfolio irregularities, management (Renewals / Pending Renewals /Stock Statement / Insurances/Other compliances) and portfolio achievement basis delinquency numbers Ensure achievement of month end enhancement disbursements Qualifications Graduate/ MBA (Marketing) preferred 2 - 5 years of experience in the BFSI sector Role Proficiencies For successful execution of the job, a candidate should possess the following: Knowledge of industry, technology, marketing, and product trends Knowledge of regulatory guidelines and norms Good communication (both verbal and written) skill in both English and the local language Ability to handle pressure and meet deadlines Strong Excel and database manipulation skills, financial and statistical analysis skill

About Bharat Banking Bharat Banking is a new Department which has been set up to drive different business that the Bank does in Semi Urban and rural markets. The department is expected to drive business outcomes by focusing on partnerships, new products, innovation, reimagining customer journeys and driving / creating new channel. About the Role The Relationship Manager will be responsible for nurturing client relationships through continuous client engagements and risk profiling. The RM will be responsible for identification of potential customers and providing them customized solutions as per their requirements. The center of all client engagements will be to ensure superior customer experience. Key Responsibilities Develop and maintain business relationships with select group of customers through individualized customer service Handle customers queries and provide superior service to the mapped customers Ensure timely delivery of customers enquiries and instructions, whilst ensuring that the Bank s delivery standards in achieving total customer satisfaction are met Deepen the existing relationships by cross selling the Banks products and services/ third party products Achieve the New To Bank, cross-sell and portfolio retention targets as assigned by the organization Responsible for portfolio irregularities, management (Renewals / Pending Renewals /Stock Statement / Insurances/Other compliances) and portfolio achievement basis delinquency numbers Ensure achievement of month end enhancement disbursements Qualifications Graduate/ MBA (Marketing) preferred 2 - 5 years of experience in the BFSI sector Role Proficiencies For successful execution of the job, a candidate should possess the following: Knowledge of industry, technology, marketing, and product trends Knowledge of regulatory guidelines and norms Good communication (both verbal and written) skill in both English and the local language Ability to handle pressure and meet deadlines Strong Excel and database manipulation skills, financial and statistical analysis skill

About Bharat Banking Bharat Banking is a new Department which has been set up to drive different business that the Bank does in Semi Urban and rural markets. The department is expected to drive business outcomes by focusing on partnerships, new products, innovation, reimagining customer journeys and driving / creating new channel. About the Role The Relationship Manager will be responsible for nurturing client relationships through continuous client engagements and risk profiling. The RM will be responsible for identification of potential customers and providing them customized solutions as per their requirements. The center of all client engagements will be to ensure superior customer experience. Key Responsibilities Develop and maintain business relationships with select group of customers through individualized customer service Handle customers queries and provide superior service to the mapped customers Ensure timely delivery of customers enquiries and instructions, whilst ensuring that the Bank s delivery standards in achieving total customer satisfaction are met Deepen the existing relationships by cross selling the Banks products and services/ third party products Achieve the New To Bank, cross-sell and portfolio retention targets as assigned by the organization Responsible for portfolio irregularities, management (Renewals / Pending Renewals /Stock Statement / Insurances/Other compliances) and portfolio achievement basis delinquency numbers Ensure achievement of month end enhancement disbursements Qualifications Graduate/ MBA (Marketing) preferred 2 - 5 years of experience in the BFSI sector Role Proficiencies For successful execution of the job, a candidate should possess the following: Knowledge of industry, technology, marketing, and product trends Knowledge of regulatory guidelines and norms Good communication (both verbal and written) skill in both English and the local language Ability to handle pressure and meet deadlines Strong Excel and database manipulation skills, financial and statistical analysis skill

As an IT Service Management Representative, you will oversee the delivery of IT production systems and services, supporting the infrastructure service management lifecycle to ensure client satisfaction and manage service risks. Your role involves providing operational support to keep production systems and devices online and available. Expected to perform independently and become a Subject Matter Expert (SME), you will actively participate and contribute in team discussions, providing solutions to work-related problems. Your responsibilities include managing delivery for IT production systems and services, supporting the infrastructure service management lifecycle, ensuring client satisfaction, and managing risk to services. Additionally, you will collaborate with team members to troubleshoot and resolve issues. Required professional and technical skills include proficiency in Reporting Analytics, a strong understanding of statistical analysis and machine learning algorithms, experience with data visualization tools like Tableau or Power BI, and hands-on experience in implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. You should also have a solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Candidates should possess a minimum of 3 years of experience in Reporting Analytics. This position is based at our Nagpur office, and a 15 years full-time education is required.,

Key Skills: Machine Learning, Data Engineering, Python, TensorFlow, PyTorch, Statistical Analysis, Cloud Platforms (AWS/GCP/Azure), Data Structures, Big Data, ML Frameworks, Model Optimization, Predictive Modeling. Key Responsibilities: Develop and implement data-driven ML predictive models to advance intelligent automation and reporting. Assess, analyze, and organize large datasets to extract meaningful insights. Execute tests to validate machine learning models and algorithms. Optimize machine learning models for improved performance and accuracy. Collaborate with cross-functional teams to integrate machine learning solutions into existing systems. Monitor and maintain machine learning models to ensure ongoing accuracy and efficiency. Research and stay updated on the latest advancements in machine learning and ML techniques and applications. Document processes, methodologies, and model performance for transparency and reproducibility. Troubleshoot and resolve issues related to machine learning model deployment and operation. Mentor and provide technical guidance to junior engineers, sharing best practices and fostering a culture of continuous learning. Experience Requirement: 6-13 years of experience in machine learning, data engineering, or software development. Strong programming skills and proficiency in languages commonly used for ML and related tasks. Big Data skills and proficiency in data structures, modeling, and visualization. Proven background in statistical analysis and data analysis to support model training and evaluation. Excellent communication skills for working with stakeholders and translating technical concepts. Proficiency in Python and ML frameworks (TensorFlow, PyTorch, scikit-learn); experience with production-quality code. Strong background in statistics, mathematics, and data science. Experience with cloud platforms (AWS, GCP, Azure) and deploying ML models at scale is a plus. Education: Any Post Graduation, Any Graduation.

The ideal candidate for the Senior Statistical Programming position should have a minimum of 3-8 years of experience. You should possess a strong understanding of SAS Base/Macros/GTL and have hands-on experience in SDTM/ADAM/TLFs creation following CDISC standards. Your expertise should lie in both Base and Advance SAS programming. You will be responsible for developing complex SAS macros that can be applied across Therapeutic Areas in various studies. Additionally, your role will involve reviewing the SAS programs that have been developed. Proficiency in SQL, SAS Macros, Functions, SAS GTL, SAS, and other advanced SAS components is crucial for this position. As a Senior Statistical Programmer, your primary duties will revolve around SAS programming within the pharmaceutical industry. Therefore, a Bachelor's degree in a related field is required for this full-time, permanent position. Key Skills: - SAS - SDTM - ADAM - TLF - Statistical Analysis If you meet the above requirements and are ready to take on this challenging role, we encourage you to apply using the Job Code: GO/JC/551/2025. For any queries regarding the position, you may reach out to the Recruiter, Sangeetha Tamil.,