1575 Predictive Modeling Jobs - Page 19

Project Role : Technology Support Engineer Project Role Description : Resolve incidents and problems across multiple business system components and ensure operational stability. Create and implement Requests for Change (RFC) and update knowledge base articles to support effective troubleshooting. Collaborate with vendors and help service management teams with issue analysis and resolution. Must have skills : Microsoft SQL Server Administration Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Technology Support Engineer, you will engage in a dynamic work environment where your primary focus will be on resolving incidents and problems that arise across various business system components. Your day will involve ensuring operational stability, creating and implementing Requests for Change, and updating knowledge base articles to facilitate effective troubleshooting. Collaboration with vendors and service management teams will be essential as you analyze issues and work towards their resolution, contributing to a seamless operational flow within the organization. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the development and maintenance of documentation related to system configurations and procedures.- Participate in training sessions to enhance team knowledge and skills. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft SQL Server Administration.- Strong understanding of database management and optimization techniques.- Experience with backup and recovery strategies for SQL Server databases.- Familiarity with performance tuning and monitoring tools.- Knowledge of security best practices for database management. Additional Information:- The candidate should have minimum 3 years of experience in Microsoft SQL Server Administration.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

• 4 6 years of relevant analytics experience in banks, NBFCs, Fintechs, consultancies. • Lead end to end execution of analytical requirements including model development, implementation & stakeholder communication. • Strong understanding of ML algorithms and statistical modelling to address problems predominantly in BFSI domain. • Articulate complex data science models / analysis to relevant audience and effectively present the solution in a concise & neat manner. • Design, prototype, build & maintain frameworks for consumption of machine learning models at scale. • Perform feature engineering through extracting meaningful features from traditional and alternate data sources. • Mentor team of data scientists • Proficiency in Python, SQL, AWS / GCP / Azure • Bachelors / Master’s degree in mathematics, Statistics, Economics, Computer Science or other quantitative course Preferred candidate profile

About The Role Grade M3/M4/M5 Role Team Member - Credit Risk Analyst Department Risk Management Reporting Relationship Team Lead Credit Risk Location Mumbai Role Requirements Credit Risk Analytics and Modelling Analyse, model, validate and document various measures of Credit Risk for use in Expected Credit Loss and Capital computations. Hands-on experience in building, implementing, documenting, monitoring, validating, refining models and scorecards in particular for PD, LGD, EAD and related Credit Risk metrics - using statistical methods and or expert judgement based techniques. In depth understanding of the techniques and functional insights that drive Credit Risk models and the experience of having used modelled output in computing Expected Credit Loss (ECL) under Ind AS, Credit Risk Capital under Internal Ratings based approaches, Economic Capital and having taken these measures through the scrutiny of auditors and regulators. This is the main requirement of the role and the individual should have a good knowledge of this function. Derive insights from data and effectively communicate these insights to Risk, Credit and Business teams. Develop Risk Dashboards and analytical reports for Senior Management. Preparing and submitting reports to the regulator and or senior management on a periodic and adhoc basis. The job-holder will be responsible for computing and reporting ECL and related metrics on an on-going basis. Ability to work with (gather, consolidate, prepare, summarise) large data sets on a routine basis with an eye for detail and flair for numbers. Data cleansing and preparation for use in model building. Ensure reliability, integrity and consistency of reported and underlying data Pre-Requisites About 4 to 8 years of experience in a Bank, NBFC, Consulting Firm, Rating Agency in the areas of working PD, LGD, ECL, EAD. Exposure to risk reporting or financial reporting would be an advantage. Degree in statistics, mathematics or econometrics (or equivalent professional qualifications) with hands-on experience in statistical model development, implementation, validation would be an advantage. Experience and expertise in using any one or more among Python SAS R. Intermediate level SQL skills will be useful. Strong experience in areas like delinquency or loan loss forecasting, expected credit losses capital computation under advanced approaches. Above average to advanced excel skills Experience in projects involving automation data consolidation in the areas of risk or financial reporting would be an advantage Skills and Knowledge CA or MBA with FRM preferred Understanding analysis of various types of credits Proven management and supervisory skills Excellent interpersonal skills, verbal/written communication skills and strong project management skills Above average to advanced excel skills Experience in working with Python, SQL or SAS would be an added advantage.

The Impact you will have in this role: The Capacity Planning Engineer for Mainframe works directly with a team responsible for monitoring, analyzing, and reporting mainframe processing capacity at DTCC. The successful candidate will collect, process and validate system resource data along with business volume data for future analysis using sound data science principles. One should have a basic understanding of Mainframe while knowledgeable of sources and tools used to collect, validate, then process required system data. One should have a solid background in both descriptive statistics to extrapolate insight from large quantities of raw data using SAS software on the mainframe and in distributed environments. Your Primary Responsibilities: Monitor and analyze mainframe system performance and capacity trends. Collect, process, and validate large datasets from various system and business sources. Apply descriptive statistical techniques to summarize and interpret raw data. Utilize SAS software to generate reports and insights that inform capacity planning decisions. Collaborate with cross-functional teams to ensure data accuracy and relevance. Contribute to the development of tools and processes that enhance data collection and analysis **NOTE: The Primary Responsibilities of this role are not limited to the details above. ** Qualifications: Minimum of 6 years of related experience Bachelor's degree in a mathematics / statistics subject area preferred or equivalent work experience Talents Needed for Success: Foundational understanding of mainframe systems Proficiency in SAS or similar statistical software. MS Office skills, in particular intermediate PowerPoint, and Excel skills Excellent analytical skills including data exploration, analysis Good foundation in Descriptive Statistics Understanding of mainframe technology and components

We are seeking a highly experienced and strategic Senior Manager Applied Science to lead and scale our applied research and machine learning initiatives. This role involves working at the intersection of cutting-edge AI/ML technologies and real-world business challenges to drive measurable impact. Key Responsibilities: Lead a team of applied scientists and machine learning engineers to develop scalable AI/ML models. Define and drive the scientific vision, strategy, and roadmap aligned with business goals. Collaborate cross-functionally with product, engineering, and analytics teams. Stay ahead of emerging technologies and apply them to solve complex business problems. Publish research, file patents, or present findings in internal/external forums as needed. Requirements: 10+ years of experience in applied science, machine learning, or data science roles. Strong background in statistics, optimization, deep learning, NLP, or related fields. Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. Proven experience in leading high-performance technical teams. Advanced degree (Ph.D. or Master’s) in Computer Science, Mathematics, Statistics, or a related field. Excellent communication and leadership skills. Preferred Qualifications: Experience in a product-led tech company or research lab environment. Track record of deploying ML models in production. Publications or patents in relevant areas.

We are looking for a highly skilled and experienced Credit Officer to join our team at Equitas Small Finance Bank Ltd. The ideal candidate will have 2-7 years of experience in the BFSI industry, with expertise in credit analysis and risk management. Roles and Responsibility Conduct thorough credit analysis to assess customer creditworthiness. Develop and implement effective credit policies and procedures to minimize risk. Collaborate with cross-functional teams to ensure seamless credit processing. Monitor and analyze credit portfolio performance to identify areas for improvement. Provide expert guidance on credit-related matters to internal stakeholders. Stay updated with regulatory changes and industry trends to enhance credit operations. Job Requirements Strong understanding of credit principles, including credit scoring and risk assessment. Proficiency in credit software applications and systems. Excellent analytical and problem-solving skills with attention to detail. Ability to work effectively in a fast-paced environment with multiple priorities. Strong communication and interpersonal skills to build relationships with customers and stakeholders. Experience in the BFSI industry, preferably in a similar role as a Credit Officer.

New or Never Normal Job Title: Internal Audit Team Member Corporate Grade: CA fresher"s Kotak Overview Kotak Mahindra Bank Limited is an Indian banking and financial services company headquartered in Mumbai, India. It offers banking products and financial services for corporate and retail customers in the areas of personal finance, investment banking, life insurance, and wealth management. At Kotak, we expect more from ourselves, than what anyone else expects of us. This way, we are creating a rewarding and delightful experience every day for our customers. We are an equal opportunity employer and we are opposed to discrimination on any grounds. Overall purpose of role As Kotak Internal Audit Member, you will be a part of Kotak Internal Audit Department (IAD) which aims to provide independent, reliable, valued, insightful and timely assurance to the Board and executive management thus demonstrating a role of an ENABLER . This is achieved by looking at the effectiveness of governance, risk/control framework over current and evolving risks, within the current and expected business environment and in accordance with the international standards definition of internal auditing.Kotak IAD is a 200+ member department spread across 5 locations (Mumbai, Ahmedabad, Bangalore, Chennai and Delhi) which is set up to perform Internal Audits for KMBL (Kotak Mahindra Bank Limited) Flagship Company of the Kotak group. A one-stop shop.4 Strategic Business Units - Consumer Banking, Corporate Banking (Wholesale Banking), Commercial Banking, Treasury. Key Accountabilities Executing the delivery of the Kotak IAD"s Audit plan for the calendar year." To assist the Team Supervisor Team Lead on assigned audit work of KMBL Businesses & Processes. This will entail working on the audit to deliver the Audit Planning Memo, Controls Document, agree issues & action plans with management and submission of draft report to the Team Supervisor." Demonstrate sound knowledge of both business/technical areas and expert knowledge in the audit process, including the IA systems, to ensure that audit work is carried out with a high standard that meets all methodologies." Demonstrate sound knowledge of regulations governing the bank (RBI, IRDA, SEBI, FEMA, FIMMDA, FEDAI, FATCA, NDS-OM, etc.)" Conducts reviews to understand end-to-end process, evaluate and highlight key control deficiencies, analyse root cause and discuss agree with management for effective and timely remediation plans." Manage individual workflow to ensure timely report deliveries with quality articulation of audit queries" Writing high quality audit reports. To embrace and demonstrate effective Audit report writing & presentation skills from E2E perspective (Planning, Execution, Discussion, Clarification, Finalisation, Documentation into system etc.)" Endeavouring to update awareness of risk issues and changes across relevant business units and use this knowledge to update the audit approach." Driving and leading discussions with relevant stakeholders regarding audit observations, consulting with IAD team supervisors Team Leads. Decision-making and Problem Solving Take into account reputation of Kotak at all times, through positive interactions and adhering to policies, procedures and manuals. Set an example and supports fair and ethical behaviour. Make sure you are equipped to be able to protect our reputation at all times. Challenge others where appropriate, if you believe self to be correct. Endeavour to be part in decision making on a broad range of factors, with Kotak"s values at heart - Always Responsible, Always Accountable. Risk and Control Objective [This section is mandatory for all role profiles]Ensure that all activities and duties are carried out in full compliance with regulatory requirements, Enterprise Wide Risk Management Framework and internal Kotak"s Policies and Standards. Person Specification Personal attributes essential to performing role including competencies, expertise, knowledge, and experience. Noteexperience requirements must not be in the form of years (minimum or otherwise). Essential Skills/Basic & Preferred Qualifications: Understanding of Banking Business their products and processes." Person who can work alone, close audits and manage stakeholders" Relevant professional qualifications e.g. CA/CMA, CISA, CIA, (Bachelor"s degree mandatory)." A Bachelor"s degree in Commerce (preferably) holder with at least3-5 years of experiencein internal audit of a financial institution and/or relevant experience in the following areas:" Experience in a BFSI or Finance processes, including audit. Understanding of relevant regulatory environment would be an added advantage. " Experience in data analytics and/or exposure to data science/machine learning techniques would be an added advantage.

Role Purpose The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions Do 1. Demand generation through support in Solution development a. Support Go-To-Market strategy i. Collaborate with sales, pre-sales &consulting team to assist in creating solutions and propositions for proactive demand generation ii. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales b. Collaborate with different colleges and institutes for recruitment, joint research initiatives and provide data science courses 2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions a. Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions b. Collaborate with ML Engineers, Data engineers and IT to evaluate ML deployment options c. Integrate model performance management tools into the current business infrastructure 3. Team Management a. Resourcing i. Support recruitment process to on-board right resources for the team b. Talent Management i. Support on boarding and training for the team members to enhance capability & effectiveness ii. Manage team attrition c. Performance Management i. Conduct timely performance reviews and provide constructive feedback to own direct reports ii. Be a role model to team for five habits iii. Ensure that the Performance Nxt is followed for the entire team d. Employee Satisfaction and Engagement i. Lead and drive engagement initiatives for the team Mandatory Skills: Python for Data Science Experience: 8-10 Years

As a Data Admin, you will leverage your expertise in Statistical Analysis, Machine Learning, Data Visualization, Predictive Modeling, Big Data, SQL, Data Mining, VBA, and Power BI to support category management teams in executing NDAs and Agreements. Your responsibilities will include agreement renewal, supplier premium program follow-up, and supplier business meeting review setup. You will develop and maintain trackers, generate monthly reports, and create visual dashboards representing sub-category spend by region. Additionally, you will work on workflow creation in Microsoft SharePoint and automate reports using Microsoft Excel Macros, VBA, and Power BI. The ideal candidate should possess a bachelor's degree in electrical engineering from a reputable institution. Essential requirements for this role include interpersonal skills, expertise in Microsoft Excel, Macro, and Power BI, creativity in Microsoft PowerPoint presentations, and proficiency in root cause and corrective analysis. Knowledge of Python and SQL would be advantageous. Your attitude and ability to work in a hybrid environment across different time zones are key selection criteria for this position.,

You are required for the position of a female CRM executive in Kokapet, Hyderabad for a leading real estate developer. You should have a minimum of 1 year of experience in customer relationship management in the real estate industry. Additionally, you must possess proficiency in statistical analysis techniques to understand customer behavior and improve service delivery. Your primary roles and responsibilities will include developing and maintaining strong customer relationships to enhance satisfaction and retention. You will be expected to utilize data analysis and predictive modeling to identify customer needs and improve services. Collaboration with the marketing team is essential to tailor communication strategies that address customer preferences effectively. Managing customer inquiries and feedback efficiently to ensure a high level of service quality is a key aspect of the role. Furthermore, you will support business development initiatives by identifying potential opportunities through customer data analysis. Implementation of continuous improvement processes based on customer insights and feedback is crucial. You will work cross-functionally with engineering teams to align customer requirements with technical solutions. Conducting regular customer reviews to ensure alignment with service expectations and explore growth opportunities will also be part of your responsibilities.,

The Data Scientist will work closely with the Product, Data, and Research teams to analyze labor market trends, workforce dynamics, and economic patterns. The role involves cleaning, organizing, and interpreting large-scale datasets to develop innovative models, datasets, and visualizations that provide actionable insights into the future of work. The ideal candidate will demonstrate strong statistical thinking, a solid grasp of machine learning principles, and the ability to apply core methodologies such as predictive modeling, econometric analysis, and time series forecasting. This position requires a collaborative mindset to work cross-functionally, ensuring the seamless integration of analytical insights into Lightcasts products and services. Major Responsibilities: Use SQL, Python, or other analytical tools to query, clean, and analyze large datasets. Analyze labor market trends across dimensions such as workforce composition, job demand, employment patterns, and wage dynamics. Apply advanced techniques including time series forecasting, clustering, regression analysis, and machine learning algorithms (e.g., decision trees, random forests, gradient boosting, support vector machines, k-means clustering) to identify patterns and forecast labor trends. Build and maintain scalable data and model pipelines using orchestration tools like Apache Airflow, Luigi, or Sagemaker Pipelines, and model tracking tools such as MLflow. Collaborate cross-functionally to define problem statements, gather and analyze data, integrate models into products, and translate insights into actionable recommendations for technical and non-technical audiences. Stay informed on advancements in labor market analytics, statistical modeling, and machine learning technologies. Education and Experience: Bachelor s or Master s degree in Data Science, Statistics, Economics, Computer Science, or a related quantitative field. 2+ years of industry experience or academic research applying statistical or machine learning approaches to real-world data problems. Proficiency in Python, SQL, and machine learning libraries such as Scikit-learn or PyTorch. Demonstrated ability to write clean, scalable code and independently prototype data solutions. Solid understanding of machine learning techniques such as classification, regression, and time-series forecasting. Experience with cloud platforms (e.g., AWS) and orchestration tools like Apache Airflow for managing large datasets and workflows. Strong statistical reasoning and ability to translate complex data into strategic business insights. Excellent interpersonal, written, and verbal communication skills, with the ability to convey technical topics to diverse audiences. Experience working with large labor market datasets (e.g., government labor statistics, survey data, or job market intelligence platforms) (preferred). 2+ years of experience in labor market analytics, workforce intelligence, or related domains (preferred). Proficiency with data visualization tools such as Tableau, Power BI, or Plotly (preferred). Familiarity with Natural Language Processing (NLP) techniques and applications (preferred). Lightcast is a global leader in labor market insights with headquarters in Moscow (ID) with offices in the United Kingdom, Europe, and India. We work with partners across six continents to help drive economic prosperity and mobility by providing the insights needed to build and develop our people, our institutions and companies, and our communities. Lightcast is proud to be an equal opportunity workplace and is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Lightcast has always been, and always will be, committed to diversity, equity and inclusion. We seek dynamic professionals from all backgrounds to join our teams, and we encourage our employees to bring their authentic, original, and best selves to work.

As the Director of Analytics at one of our portfolio companies in NCR, you will play a crucial role in leading the analytics efforts to drive impactful insights and shape the future of consumer experiences. Your responsibilities will include developing and executing a comprehensive analytics strategy aligned with the company's goals, overseeing the development of advanced analytical models, and implementing state-of-the-art analytics tools and methodologies to enable efficient data exploration and visualization. You will be instrumental in driving the adoption of a data-driven decision-making culture within the organization, collaborating with various teams such as Product, Marketing, Engineering, and others to embed analytics into key decision-making processes. Additionally, you will build, mentor, and lead a diverse team of high-performing data analysts, business intelligence professionals, and data scientists. Your role will also involve providing thought leadership in leveraging AI/ML to develop innovative, data-driven products and solutions, as well as staying updated on industry trends and best practices to continuously enhance the analytics capabilities of the organization. The ideal candidate for this position should have a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Business Analytics, or a related field. An MBA or equivalent qualification would be a plus. You should possess 8+ years of experience in analytics, business intelligence, or data science, with a proven track record of driving impact in consumer technology, e-commerce, or a similar fast-paced industry. Strong proficiency in data analysis, predictive modeling, and statistical methodologies is essential, along with hands-on experience in data visualization tools such as Tableau and Power BI, as well as programming languages like Python, R, and SQL. Experience in integrating AI/ML models into real-world applications, building and leading high-performing analytics teams, and translating complex analytical findings into actionable business insights are also key requirements for this role. Excellent communication and interpersonal skills are necessary for effective collaboration with both technical and non-technical stakeholders. If you are a visionary leader with a passion for analytics and driving business growth through data-driven insights, we would love to hear from you.,

The Product Analytics Manager will be responsible for driving data-informed decisions to optimize product performance, enhance customer experiences, and shape the strategic direction of the product. You will manage analytics frameworks, collaborate across teams, and leverage data to unlock growth opportunities in a highly dynamic environment. Your key responsibilities will include: - Analyzing customer behavior, product usage, and market trends to identify opportunities for innovation and improvement. - Developing actionable insights and recommendations to influence product roadmaps and strategic priorities. - Monitoring key performance indicators (KPIs) to assess product health and measure the impact of enhancements. You will also be involved in: - Designing, executing, and evaluating A/B tests to validate hypotheses and optimize product features. - Implementing data-driven strategies to improve customer satisfaction, retention, and lifetime value. Collaboration with product managers, engineers, designers, marketers, and compliance teams will be crucial to align analytics with business objectives. Additionally, you will be expected to present findings to executive stakeholders using compelling data storytelling techniques. As the Product Analytics Manager, you will be responsible for building scalable data pipelines and dashboards for real-time reporting and performance tracking. Ensuring streamlined processes for data collection, reporting, and visualization using tools like Tableau, Mixpanel, or similar platforms will also be part of your role. Required Skills & Expertise: Technical Skills: - Proficiency in SQL, Python/R for data manipulation and statistical analysis. - Experience with ETL pipelines (e.g., Airflow) and large datasets. - Advanced knowledge of visualization tools such as Tableau. - Familiarity with analytics platforms (e.g., Google Analytics or Mixpanel). Analytical Acumen: - Strong understanding of hypothesis testing, experimentation design, and predictive modeling. - Ability to define KPIs that align with business goals and measure product success effectively. Leadership & Communication: - Proven ability to manage cross-functional teams and influence stakeholders at all levels. - Experience mentoring junior analysts or managing direct reports is preferred. Qualifications: - Bachelor's degree in Computer Science, Statistics, Operations Research, or a related field; advanced degrees are a plus. - 6+ years of experience in product analytics or business analytics roles within FinTech or high-growth tech companies. - 2+ years managing analytical teams or mentoring junior professionals.,

The AI and Predictive Analytics Specialist plays a crucial role in harnessing the power of advanced analytics and machine learning to transform data into actionable insights. You will work closely with various departments to understand their analytical needs and develop predictive models that drive strategic initiatives. Your responsibilities include analyzing large datasets, discovering patterns and trends, and creating data visualizations to effectively communicate findings to stakeholders. It is essential to have a solid understanding of statistical analysis, proficiency in programming languages such as Python or R, and experience with data visualization tools like Tableau or Power BI. Collaboration with cross-functional teams is a key aspect of this role as you design and implement predictive models, evaluate performance, and refine algorithms to enhance accuracy. You will be involved in the development and maintenance of analytics tools, preparing detailed reports, and staying updated with the latest advancements in AI and analytics technologies. Additionally, training team members on data analytics best practices, facilitating workshops, and supporting data-driven decision-making are vital responsibilities. To excel in this position, you must possess a Master's degree in Data Science, Computer Science, Statistics, or a related field, along with proven experience in predictive analytics and machine learning. Hands-on experience with SQL, database management, and big data technologies like Hadoop and Spark is advantageous. Strong problem-solving skills, project management abilities, and effective communication skills for presenting technical concepts are essential. Adaptability to changing priorities, managing multiple projects simultaneously, and familiarity with data cleaning and preprocessing techniques are also required. Overall, as the AI and Predictive Analytics Specialist, you will contribute significantly to the organization's data-driven strategy, foster a culture of continuous improvement through data insights, and support strategic initiatives with data-driven recommendations. Your expertise in data visualization, statistical analysis, machine learning, predictive analytics, data mining, and team collaboration will be instrumental in driving business solutions and enhancing operational efficiency.,

An Opportunity to Work with One of India's Leading Credit Card Tech Innovators BOBCARD (A Bank of Baroda Subsidiary) Educational Qualifications: Bachelors/Masters degree in Computer Science, Data Engineering, Information Technology, or a related field . Experience Requirement: 5+ years Applicants should possess the following attributes: Technical Skills: Should have knowledge database design and development skills in Non- Relational Databases, SQL /. PL SQL, Oracle/MS SQL/MySQL Following GCP skillsets are necessary - BigQuery Storage, BigQuery ML, Cloud Data Fusion, Looker Studio Pro, Looker ML, DataStream Google Cloud platform especially Big Query Dataflow Experience with Java and Python and Google Cloud SDK API Scripting Experience in writing ETL/ELT Good Knowledge of Data modelling, Dimensional Modelling and Data Visualisation Proficient in SQL, Excel, Data Analytics, Data integration, Metadata Management Experience in Implementing complete project on GCP -AI / ML Experience Tableau / Power BI / Qlik Sense/ Looker Studio Use the full breadth of capabilities within Google Looker Studio to develop dashboards, Visual components, data Reports and analytical tools Proficiency in Oracle R, Python will be an added advantage Presenting complex data in visually appealing and insightful ways to aid story- telling and communication Strong knowledge of SDLC methodologies Agile/Scrum / Solid Principles Good understanding of Database Design Concepts Certification of Analytics with AI/ML would be an added advantage. Role & Responsibilities This position would include the mentioned set of responsibilities but not limited to: The candidate should be self-motivated, multi-tasker, and demonstrated team-player. Responsible for the managing the product development and maintenance in IT team of the organisation. Must have worked with large-scale applications and frameworks Learn and enhance own skillset and of team. Stay up to date to latest technology. Writing clean, high-quality, high-performance, maintainable code. Coordinate cross-functionally to ensure project meets business objectives and compliance standards Ensuring high performance of the application. Develop, test, and deploy fast and scalable system Designing and maintenance of fully functional applications and databases. Timely deployment of web apps on the cloud and on-prim/monolithic. Understanding of server management and cloud-based infrastructure. Establishment and integration of development tools as required Identification of application issues when deploying the apps App deployment on the cloud along with solving debugging issues Coding architecture for frontend and backend Building interactive consumer data Testing applications and fixing bugs, along with security and data protection features Solve Technical Challenges Cooperating with the back-end developer in the process of building the Cloud based Analytics platform Develop and support Analytics Platform Interested Professionals can also apply via our careers page: https://bobcard.turbohire.co/job/publicjobs/9IJ04bfVo3kTnyMKczuuhM3wpm81HcOhip9k0uecVaDF1y6XWQ9jRsFiuPYS7dQw

Join a team recognized for leadership, innovation and diversity. Honeywell Technology Solutions is seeking a highly motivated Global HR Analytics & Program Lead to drive HR people analytics, workforce insights & key talent programs across all HTS regions- India, Czech, Poland & Mexico. This role will support global HR initiatives, ensuring data-driven decision-making, process optimization, and strategic workforce planning. The specialist will collaborate with HR leaders across sites, business partners, and stakeholders to drive HTS people priorities and programs leveraging data & analytics. Key Responsibilities HR Analytics & Reporting: - Leverage HR data and analytics to provide insights on workforce trends, employee performance, and engagement. - Create dashboards, reports, and predictive models to support HR decision-making. - Ensure data integrity and compliance with global HR policies and local labor laws. Talent & Workforce Insights - Analyze workforce data to identify trends, risks, and opportunities all people process- workforce planning, attrition, succession health, compensation planning, DEI & Voice of employees, OEF and spans & layers. - Partner with HR teams to forecast future workforce needs and optimize talent strategies. HR Program Management - Develop, implement, and manage global HR programs in following areas including talent development, employee engagement, and workforce planning. - Support the execution of HR transformation projects globally, ensuring alignment with business goals. - Monitor and report on program effectiveness, making recommendations for continuous improvement. HR Systems & Process Optimization - Work with HR technology teams to enhance HRIS systems and analytics tools. - Automate reporting processes to improve efficiency and accuracy. - Ensure alignment of HR systems and processes across multiple regions. Qualifications & Skills - Bachelors or Masters degree in Human Resources, Business Analytics, or a related field. - 4+ years of experience in HR analytics, HR program management, or a similar role in a global environment. - Strong analytical skills with proficiency in data visualization tools (e.g., Power BI, Tableau) and HRIS platforms (e.g., Workday, SAP SuccessFactors). - Experience in statistical analysis, predictive modeling, and HR metrics development. - Ability to work in a fast-paced, matrixed environment across multiple time zones. - Excellent communication and stakeholder management skills. - Strong understanding of global labor laws, compliance, and best HR practices. Additional Information JOB ID: HRD261607 Category: Human Resources Location: Devarabisanahalli Village, KR Varturhobli,,East Taluk - Phase I,Bangalore,KARNATAKA,560103,India Global (ALL),

The ideal candidate for this position will be responsible for understanding business problems and formulating analytical solutions. You will apply machine learning, data mining, and text mining techniques to develop scalable solutions for various business challenges. You will also be involved in speech to text translation for Video/Audio NLP Analysis and generative AI application for Market Research data. Additionally, you will solve problems using advanced AI techniques, including GenAI methods, by designing NLP/LLM/GenAI applications/products with robust coding practices. Experience in LLM models like PaLM, GPT4, and Mistral is preferred. You will be expected to train, tune, validate, and monitor predictive models, as well as analyze and extract relevant information from large amounts of historical business data in structured and unstructured formats. Furthermore, you will establish scalable, efficient, automated processes for large-scale data analyses and develop and deploy Data Science models on cloud platforms like GCP, Azure, and AWS. Working with large, complex data sets using tools such as SQL, Google Cloud Services, Hadoop, Alteryx, and Python will be part of your daily responsibilities. Preferred qualifications for this role include 2+ years of experience in market research, data mining, statistical analysis, Gen AI, modeling, deep learning, optimization, or similar analytics. Additionally, having 2+ years of work experience with Python, SQL, and/or visualization/dashboard tools like Tableau, PowerBI, or Qliksense is desired. Comfort with working in an environment where problems are not always well-defined and the ability to effectively advocate technical solutions to various audiences are also important. Candidates with 3-4 years of industry experience and a Bachelor's or Master's degree in a quantitative field such as Statistics, Computer Science, Economics, Mathematics, Data Science, or Operations Research are required for this position. You should have 3+ years of experience using SQL for acquiring and transforming data, as well as experience with real-world data, data cleaning, data collection, or other data wrangling challenges. Knowledge in fundamental text data processing and excellent problem-solving, communication, and data presentation skills are essential. Moreover, you should be flexible to work on multiple projects/domains/tools, possess collaborative skills to work with business teams, and be comfortable coding in Tensorflow and/or Pytorch, Numpy, and Pandas, Scikit-learn. Experience with open-source NLP modules like SpaCy, HuggingFace, TorchText, fastai.text, and others is beneficial. Proven quantitative modeling and statistical analysis skills, along with a proactive and inquisitive attitude towards learning new tools and techniques, are highly valued.,

ProcDNA is a global consulting firm that specializes in fusing design thinking with cutting-edge technology to develop innovative Commercial Analytics and Technology solutions for clients. With a passionate team of over 200 professionals spread across 7 offices, ProcDNA encourages a collaborative and dynamic work environment. Innovation is at the core of our organization's DNA. As an Associate Engagement Lead at ProcDNA, you will play a key role in leveraging data to solve complex business challenges and deliver tangible results to clients. We are looking for an individual who not only has the necessary expertise but also thrives in a fast-paced global firm setting. Responsibilities for this position include collaborating with clients to model data, analyze healthcare/pharma industry challenges, and develop tailored analytics solutions using tools such as Tableau, SAS, R, and Alteryx. The successful candidate will be expected to have a deep understanding of data processes, work on multiple projects simultaneously, and possess excellent communication skills for effective collaboration. The ideal candidate should hold a bachelor's degree in engineering and have at least 5 years of experience in analytics. Proficiency in statistical analysis, predictive modeling, segmentation, and interpreting large datasets to drive data-driven decisions is essential. Additionally, a thorough understanding of the healthcare/pharma industry, including market trends and regulatory frameworks, is crucial for success in this role. If you are a creative and analytical individual who can work independently with minimal direction, and are passionate about shaping the future with brilliant minds, then this Associate Engagement Lead position at ProcDNA may be the perfect opportunity for you. Join us in our mission to drive innovation and deliver impactful outcomes in the world of Commercial Analytics and Technology.,

We're Hiring: Data Scientists | Immediate Joiners Preferred Location: Hyderabad / Ahmedabad Experience: 8 to 10 years Salary: 18 20 LPA Notice Period: Immediate joiners or max 15 days preferred Are you passionate about solving complex problems using data? We're looking for Data Scientists who are excited to build scalable predictive models, optimization solutions, and data pipelines in a cloud-native environment. Key Responsibilities Develop predictive models using statistical techniques (Bayesian models preferred). Solve optimization problems like bin packing, TSP, and clustering using integer programming. Build and manage robust Python solutions using Git and Poetry. Process and analyze large datasets using Pandas, Polars, etc. Deploy and manage data pipelines on Azure Databricks and Azure Blob Storage. Monitor and troubleshoot cloud pipelines, logs, and performance issues. (Nice to have) Automate workflows using Power Apps or Power Automate. Optimize cloud costs and performance across data architectures. Requirements Strong experience in Data Science, ML, or Applied AI roles. Strong hands-on with Python, predictive modeling, and statistical analysis. Experience in integer programming, clustering, and optimization. Proficiency with Azure cloud services, Databricks, Blob Storage. Strong SQL and data transformation experience. Good understanding of CI/CD, DevOps (preferred but not mandatory). Strong communication and problem-solving skills. What We Offer Competitive salary: 18–20 LPA Opportunity to work on cutting-edge AI/ML and optimization problems Collaborative and growth-oriented work culture Immediate onboarding If you're ready to make an impact and meet the above criteria, we’d love to connect with you.

Looking for statistical analysis or predictive modelling candidates with skills in Power BI, Alteryx, SQL, Python or Java, Data Analysis, Data modelling, ETL, Data processing. This role requires developing statistical learning models.

Why would you like to join us? TransOrg Analytics specializes in Data Science, Data Engineering and Generative AI, providing advanced analytics solutions to industry leaders and Fortune 500 companies across India, US, APAC and the Middle East. We leverage data science to streamline, optimize, and accelerate our clients' businesses. Visit at www.transorg.com to know more about us. What do we expect from you? - Analyze & interpret data and communicate results to clients, often with the aid of mathematical/statistical techniques and software. - Data exploration, statistical/ predictive modelling, data analysis and hypothesis testing. Design, development and deployment of Predictive models and frameworks. - Complex statistical concepts are explained in a way that clients can understand and advice on strategy. - Overall data analytics strategy and business development. - Responsible for providing thought leadership and support to the team to develop best in class analytics solutions for clients. - Responsible for managing existing relationships with multiple clients in various industries. - Responsible for working closely with the senior management in developing and implementing strategic plans. Team Development: - Manage a team of data Scientists. Lead team members, including personal development and set work direction. - Lead team members, including personal development and set work direction. - Group development by building expertise in new domains and processes. - Coaching and mentoring team members. - Responsible for productivity, utilization and quality of output of the group. - Development of training modules and imparting training to the group. Project Delivery: - Lead analytics engagements and responsible for delivering the analytics solutions required across multiple clients & projects. - Provide thought leadership in a number of areas, including predictive modeling, customer segmentation, reporting & analysis, data processing and cleansing. - Demonstrate strong functional expertise by providing content leadership on projects. - Hands-on experience in implementing machine-learning algorithms. - Improve existing delivery processes and lead automation where applicable. What are we looking for? - Bachelor's in Computer Science/ Engineering, Statistics, Math or any other relevant degree. - 5-9 years of total experience with at least 3+ yrs. of relevant experience in data science/technical experience. - Experience on multiple modeling techniques -Logistic Regression, Linear Regression, Random Forest, Boosting, Neural Networks etc. - Hands-on experience with Python and SQL is a must. - Experience with data visualization tools like Tableau or Power BI. - Team and client management experience. - Experience of stakeholder management - Experience in working with unstructured data and text analytics. - Must have a passion for data, structured and unstructured. - Should have sound experience in data mining and data analysis. Good presentation skills. -Track record of managing data project delivery including ability to meet deadlines, overcome challenges, manage stakeholder expectations, and produce clear deliverables -Strong problem-solving skills with a keen attention to detail. Ability to think critically and provide data-backed insights. - Excellent communication skills, both verbal and written. -Understanding of Cloud Platforms (e.g. Azure / AWS/GCP) and ability to use them for developing, training and testing deep learning models ( good to have) -Familiarity with cloud-based data warehousing platforms (snowflake) ( good to have)

The purpose of this role is to provide support for the collection, analysis, and dissemination of insights to our clients Job Description: Key responsibilities:Integrates disparate datasets, conducts data preparation for analysesApplies data science methods to provide insights and recommendations to clientsDelivers analytic outcomes based on project timelines and key milestonesMaintains knowledge of new trends in the data science industryDevelops and manages code used for analytics purposesCommunicates findings and insights Location: Pune Brand: Merkle Time Type: Full time Contract Type: Permanent

MEET THE TEAM We are a high-performing analytics team on a mission to embed AI into every layer of our decision-making. By demonstrating machine learning, large language models (LLMs), and automation, we're redefining how data powers innovation and efficiency at scale. YOUR IMPACT As the AI Lead, you'll architect AI-powered BI systems integrating Snowflake, Tableau, and natural language interfaces. Youll transform ETL workflows with ML automation and build multi-agent AI systems to supervise KPIs, generate dashboards, and drive insights in real time. MINIMUM QUALIFICATIONS Proven expertise in building AI apps (LLMs, RAG, NLP, Deep Learning). Sophisticated Python, SQL (Snowflake), and Tableau dashboarding. Experience with ML pipelines, GenAI frameworks (LangChain, Hugging Face). Ability to lead workshops, PoCs, and mentor teams. Close collaboration with AI/engineering/product teams. Continuous learning mindset with industry awareness. BASIC QUALIFICATIONS Bachelors/Masters in CS, AI, or related field. 10+ years in BI/Analytics; 3+ in AI/ML roles. Expertise in LLMs (OpenAI, Claude, Llamas), RAG, and agent-based systems. Strong MLOps skills: model deployment, lifecycle management. Leadership in cross-functional teams and innovation delivery. PREFERRED QUALIFICATIONS Experience with multi-agent AI in BI, Snowflake Cortex, and MLOps tools like Kubeflow. Proven track record integrating AI with enterprise BI platforms for business impact.