5 Data Science Jobs nearby Ratnagiri

Greetings!!! From Aspire ERP Hiring Partner for MNC LIFE INSURANCE CO.LTD  COMPANY NAME : MNC LIFE INSURANCE DESIGNATION : RELATIONSHIP MANAGER Channel : Banccassurance   EXP : Required  2+ Yrs Exp  in sales / Banking Sales   For Apply Call on 9049228518 Email on aspirebfsijobs1@gmail.com JOB PROFILE:   HANDLING WALKIN CUSTOMERS OF THE BANK Responsible in handling Bank Revenue Generation for Insurance vertical whole channel relationship management between hdfc LIFE INSURANCE AND hdfc bank. Building Relationship with Bank Employees and utilising data of HNI AND POTENTIAL Customers of the bank and generating leads from the walk-in customers. Drive the Life insurance business from company data base Loan customers, Pitching to Walking Customers. GENERATE THE BUSINESS FROM LOAN CUSTIMERS(I.E CREDIT LIFE INSURANCE RELATIONSHIP MANAGER  will help the bank employees for achieving business targets for the entire Bank  Regards Vaishnavi 9049228518 Aspirebfsijobs1@gmail.com

We offer a Data Entry Job that allows you to work from home. This is a part-time position that includes online data entry tasks, online computer work, part time jobs, work from home, back office executive, typist Freshers and Experienced both can apply for this jobs. Position- Data Entry Executive, Computer Operator, Typist. Back Office Executive Location: Work From Home Job Type: Part Time or Full Time Salary: Rs.16000 to Rs.29000 Job Location: This work can be done from any location in India  For more details or instant reply visit below website, Here WhatsApp number given, Just send 'Hi' through WhatsApp on given number, Website- www.areply.in 1-WhatsApp Number- 8O 52 8495 55 After sending 'Hi' message on WhatsApp Within 1 minute, you will receive the full work details on your WhatsApp via auto-reply. After receiving message please read all work and salary information carefully to understand everything better. For more details, you can call the customer care number shared in the WhatsApp message. Must have: Computer or laptop and Typing Skills

As a passionate and competent individual with a minimum of two years of experience in biodiversity research, you are invited to apply for the position. You must hold a master's degree in ecology, zoology, plant taxonomy, or wildlife biology from a reputed institute, demonstrating a serious interest in biodiversity conservation in terrestrial ecosystems and mangroves ecosystems. Excellent command over English is necessary for this role. Key Responsibilities: - Conduct field research, including biodiversity surveys, resources assessments, wildlife surveys, and ecological data collection. - Analyze data and prepare technical reports. - Monitor biodiversity and develop indicators. - Estimate biomass and carbon stock. Qualifications Required: - Minimum of two years of experience in biodiversity research. - Master's degree in ecology, zoology, plant taxonomy, or wildlife biology. - Serious interest in biodiversity conservation in terrestrial ecosystems and mangroves ecosystems. - Excellent command over English. The monthly compensation for this position ranges between INR 30,000-45,000, depending on the qualification and experience of the candidate. Additionally, free accommodation, travel allowance, and food allowance will be provided by AERF.,

We are looking for a self-motivated and results-driven general manager to direct and manage our organization's business activities and to develop and implement effective business strategies and programs. Duties for the general manager will include allocating budget resources, formulating policies, coordinating business operations, monitoring and motivating staff, managing operational costs, ensuring good customer service, improving administration processes, engaging with vendors, hiring and training employees, identifying business opportunities, and monitoring financial activities. Your entrepreneurial spirit and vision in directing business functions will assist our organization in maintaining relationships with clients, generating new business, increasing staff productivity, improving service, ensuring sustainability, and meeting business objectives. The successful candidate for this role should possess excellent communication skills, superior knowledge of business functions, exceptional budgeting, and finance skills, and strong leadership qualities. The noteworthy general manager should account for all business activities, support staff development, enhance efficiency, drive sales and improve revenue, maintain relationships with clients, enhance the organization's image, and meet overall growth objectives. General Manager Responsibilities: Overseeing daily business operations. Developing and implementing growth strategies. Training low-level managers and staff. Creating and managing budgets. Improving revenue. Hiring employees. Evaluating performance and productivity. Analyzing accounting and financial data. Researching and identifying growth opportunities. Generating reports and giving presentations.

Role Overview: You will be responsible for establishing, implementing, and proactively leading processes, procedures, standards, and initiatives to improve business performance under the Integrated Management System for ISO 9001 (Quality), ISO 14001 (Environment), OHSAS 18001 (Health & Safety), and ISO 28000 (Supply Chain Security). Your role will include planning and conducting management reviews, internal audits, and coordinating external third-party certification audits as the Management Representative (MR) to drive continual improvement. Key Responsibilities: - Lead the promotion of a no-blame culture focused on zero harm through health, safety, and environmental awareness across all organizational levels. - Develop and implement the Health, Safety & Environment (S&E) improvement plan and initiatives in coordination with line management to achieve annual objectives. - Conduct monthly OHSE committee meetings to evaluate OHSE performance, provide feedback to management, and drive operational efficiency. - Monitor, analyze, and publish data for trend analysis and statistics to drive continual improvement in all OHSE aspects and conduct related personnel training. - Support line management in conducting risk assessments and ensuring proactive management of operational risks. - Adhere to ICAM procedure for incident investigations, implement control measures to prevent recurrence of identified gaps. - Evaluate and ensure emergency response preparedness through regular emergency mock drills and maintenance of emergency response procedures. Qualification Required: - Post Graduate qualification in Safety with a minimum of 5 years of work experience in Safety Management; OR - Graduation in any field with a Diploma in Industrial Safety and a minimum of 7 years of work experience in Safety Management; OR - Master Mariner or Marine Professional with at least 3 years of rank experience and 3 years of ashore experience in Safety Management and Training. - Knowledge of ISO and other International Standards related to Quality, Environment, and Occupational Health & Safety. - Lead Auditor certification in Quality Management System. - Proficiency in Microsoft Office applications. - Bilingual in English and Hindi.,

Location - LTIM Pan IndiaExperience - 5+to 12+ yrsGeneric JD-Mandatory Skills - Data Science, Gen AI, Python, RAG and Azure/AWS/GCP, AI/ML, NLP Secondary - (Any) Machine Learning, Deep Learning, ChatGPT, Langchain, Prompt, vector stores, RAG, llama, Computer vision, Deep learning, Machine learning, OCR, Transformer, regression, forecasting, classification, hyper parameter tunning, MLOps, Inference, Model training, Model DeploymentJD_ More than 6 years of experience in Data Engineering, Data Science and AI / ML domainExcellent understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc.Experience using business intelligence tools (e.g. Tableau, PowerBI) and data frameworks (e.g. Hadoop)Experience in Cloud native skills.Knowledge of SQL and Python; familiarity with Scala, Java or C++ is an assetAnalytical mind and business acumen and Strong math skills (e.g. statistics, algebra)Experience with common data science toolkits, such as TensorFlow, KERAs, PyTorch, PANDAs, Microsoft CNTK, NumPy etc. Deep expertise in at least one of these is highly desirable.Experience with NLP, NLG and Large Language Models like BERT, LLaMa, LaMDA, GPT, BLOOM, PaLM, DALL-E, etc.Great communication and presentation skills. Should have experience in working in a fast-paced team culture.Experience with AIML and Big Data technologies like AWS SageMaker, Azure Cognitive Services, Google Colab, Jupyter Notebook, Hadoop, PySpark, HIVE, AWS EMR etc.Experience with NoSQL databases, such as MongoDB, Cassandra, HBase, Vector databasesGood understanding of applied statistics skills, such as distributions, statistical testing, regression, etc.Should be a data-oriented person with analytical mind and business acumen.

Designation: AM / MT Data Science (Data Analyst) Location: Mumbai  Work Experience: 0.6 months to 3 years Qualification: Bachelors or Masters degree in Engineering,Statistics, Mathematics, Computer Science or related fields roles and responsibilities Data Analysis & Exploration: Analyse structured and unstructured data to identify trends, patterns and actionable insights Perform data profiling, cleaning and transformation Assist in developing dashboards, visual stories using tools like TableauModel development support: Collaborate with Data scientist in Feature engineering, data cleanup / transformation and modelevaluation Support testing and validation of ML/AI models using Python Help interpret model output and translate results for businessBusiness Understanding and Insights: Participate in discussions with business to understand business problems Document, track and report the progress Help in defining the metrics and evaluating impact of AI/ML models post deploymentAI initiatives (not mandatory) Support GenAI workflows (Prompt engineering, annotation, evaluation) Assist in model testing, output comparison or basic RAG pipeline use cases Required Skills Bachelors or Masters degree in Engineering, Statistics, Mathematics, Computer Science or related fields Strong Knowledge of Excel, Google Sheets and SQL Familiarity with Python (Pandas, NumPy, Matplotlib) Analytics and problem solving mindset Understanding of basic ML concepts, Jupyter notebooks etc. Awareness of NLP/LLM concepts (not mandatory)  

About ExcelR: ExcelR is a leading edtech company founded by distinguished alumni of IIM and ISB, dedicated to transforming careers through world-class upskilling. Recognized twice with the Deloitte Fast 50 Award, ExcelR is one of Indias fastest-growing tech companies. With an employee size of 450+, we have a strong PAN India and USA presence. With a thriving community of 300,000+ learners, ExcelR delivers impactful learning experiences across the globe. We proudly collaborate with premier institutes like IIT Madras, IIT Jammu, IIT Roorkee, and BITS Pilani, offering cutting-edge programs. Job Title: Data science Trainer Job Description: We are looking for a seasoned professional with in-depth expertise as a Data scientist. The ideal candidate should have a proven track record of hands-on experience with related field technologies, including managing complex projects, mentoring teams, and driving operational excellence in the field. Strong grasp of Python/R, Machine Learning, and statistical modeling Experience with data preprocessing, EDA, and model building Familiarity with libraries like NumPy, pandas, scikit-learn, and TensorFlow Proficiency in deploying models and working with real-world datasets Key Responsibilities: Develop, deliver, and continuously enhance training content and educational programs. Mentor and train junior in-house trainers, ensuring high-quality instruction across teams. Supervise the planning, execution, and evaluation of internships, assignments, and training programs. Innovate and maintain cutting-edge educational materials and content. Ideal Candidate Profile Demonstrated expertise in the relevant domain with industry experience Excellent communication and presentation abilities to deliver impactful training Passion for teaching and mentoring aspiring professionals Qualifications Prior experience in training, mentoring, or educational roles Strong interpersonal and time management skills Ability to collaborate effectively in a team environment Certifications in relevant subject areas or instructional design If youre an innovative, highly skilled professional with a passion for both technology and education, wed love to hear from you! Conditions:  Batch Management: Handle 3 batches consecutively, with assignments based on business requirements. This could include weekday/weekend and classroom batches.  Demos & Webinars: Conducting demo sessions and webinars.  Doubts Clarification Sessions: Organizing sessions to address and clarify students' doubts.  Course Material Preparation: Develop various teaching materials including presentations, assignments, projects, quizzes, and other relevant content.  Project Mentoring: Offer guidance and mentor-ship for student projects.  Placement Preparation: Assist students in preparing for placements, including conducting mock interviews.  Customer Query Handling: Addressing queries from potential customers.  Additional Responsibilities: Need to undertake other tasks as per the business requirement.

Required Skills & Qualifications Hands-on experience with time series analysis and cost modelling. Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. Knowledge of optimisation algorithms and business strategy modelling.

Urgent Opening Data Science Trainer (Thane Location) Job Title: Data Science Trainer Location: Thane Employment Type: Full-Time (Immediate Joiner) Salary: Up to 30,000 per month About the Role: We are looking for a knowledgeable and passionate Data Science Trainer to join our institute and deliver high-quality training sessions. The ideal candidate should have strong technical expertise, good communication skills, and the ability to explain complex concepts in a simple and engaging manner. Key Responsibilities: Conduct classroom and online training sessions for students on Data Science, Python, Machine Learning, and related tools. Design, update, and deliver training content as per industry standards. Guide students through hands-on projects and practical exercises. Prepare assessments, assignments, and evaluate student performance. Stay updated with the latest trends and tools in Data Science and AI. Support students in developing their portfolios and interview preparation. Requirements: Bachelors / Masters Degree in Computer Science, Data Science, Statistics, or related field. Proven experience in Data Science / Machine Learning / Python programming. Strong knowledge of Pandas, NumPy, Scikit-learn, Matplotlib, SQL, etc. Excellent communication and presentation skills. Passion for teaching and mentoring students. Immediate joiner preferred.     

As a senior data scientist at UBS, you will play a pivotal role in driving digital transformation by working on data science projects within the newly established Data and Analytics Team in Group Legal. Your responsibilities will include: - Collaborating with various stakeholders to translate reporting requirements into actionable tasks and implement product enhancements. - Designing, building, and deploying high-performance AI/ML/NLP models to meet business objectives. - Monitoring and optimizing model performance to ensure quality, stability, and scalability. - Cleaning, manipulating, and processing raw data into useful information suitable for business purposes. - Validating AI/ML opportunities, defining business cases, and creating roadmaps for implementation. - Documenting model performance, governance, and validation processes comprehensively. - Mentoring and guiding junior data scientists and analysts to foster technical excellence across the team. To excel in this role, you should possess the following qualifications: - Minimum of 3 years of experience delivering data science projects in a leading consultancy or at a large organization. - Proficiency in developing end-to-end ML and NLP solutions, including data sourcing, feature engineering, model training, evaluation, and visualization. - Experience in state-of-the-art ML algorithms and techniques, such as XGBoost, Neural Networks, supervised, unsupervised, or reinforcement learning. - Proficiency in building ML & NLP / LLM solutions using common ML libraries and frameworks like Pandas, Sklearn, TensorFlow, Transformers, OpenAI, Huggingface. - Hands-on experience with NLP applications such as named entity recognition, text classification, sentiment analysis, or chatbot development. - Familiarity with MLOps practices, containerized solutions like Docker, Kubernetes, and cloud platforms such as Azure, AWS, or Google Cloud. - Ability to explain technical concepts to non-technical stakeholders. - Strong team player and communicator. UBS is the world's largest and the only truly global wealth manager, operating through four business divisions: Global Wealth Management, Personal & Corporate Banking, Asset Management, and the Investment Bank. With a presence in over 50 countries, UBS offers flexible ways of working and a purpose-led culture that fosters collaboration and innovation. UBS is an Equal Opportunity Employer that values diversity and empowers individuals from various backgrounds. If you are looking to make an impact and be part of a dynamic team, consider joining #teamUBS. UBS welcomes applications from career returners. Learn more about the Career Comeback program on ubs.com/careercomeback.,

Role Overview: You are looking for a highly experienced and versatile Data Scientist with a minimum of 5 years of experience, specializing in Generative AI. In this dual-role position, you will be involved in advanced data science and AI projects, specifically focusing on applications of Generative AI. Additionally, you will play a crucial role in training programs, workshops, and knowledge-sharing sessions. Key Responsibilities: - Possess strong hands-on expertise in Generative AI - Teach and mentor others in the field - Build and deploy AI models - Design engaging educational experiences - Work on cutting-edge projects - Contribute to educational initiatives - Share knowledge with others in the field Qualifications Required: - Minimum of 5 years of experience in Data Science - Specialization in Generative AI - Proven ability to teach and mentor others - Comfortable with building and deploying AI models - Strong communication and knowledge-sharing skills,

As an AI and Data Science Specialist at J.P. Morgan's Global Research Center, your role involves leading the development and implementation of AI and data science strategies to enhance research methodologies and outputs. You will collaborate with research analysts and stakeholders to identify opportunities for data-driven insights and workflow automation. Additionally, you will manage relationships with external data vendors and technology partners while ensuring compliance with regulatory requirements and ethical standards. **Key Responsibilities:** - Lead the development and implementation of AI and data science strategies for enhancing research methodologies. - Implement workflow automation leveraging AI techniques such as Large Language Models. - Collaborate with research analysts and stakeholders to identify opportunities for data-driven insights and workflow automation. - Ensure data integrity, accuracy, and accessibility for analysis. - Stay updated on industry trends and evaluate new AI technologies for potential adoption. - Work with a team of data scientists and analysts to encourage innovation and excellence. - Communicate complex analytical concepts effectively to senior management and non-technical stakeholders. - Manage relationships with external data vendors and technology partners. - Ensure compliance with regulatory requirements and ethical standards related to data use and model governance. **Qualifications Required:** - 6 or more years of experience in AI and data science within the financial sector. - Bachelor's degree or higher in Engineering, Data Science, or related fields. - Excellent communication, presentation, interpersonal, and organizational skills. - Detail-oriented with a disciplined approach to process and controls. - Ability to effectively manage relationships with external vendors and partners.,

Role Overview: You will be a skilled Data Scientist with expertise in Artificial Intelligence (AI), AI Agent development, and hands-on experience using RapidMiner to drive transformative insights from complex datasets. Your main responsibility will be to design, develop, and deploy AI-driven solutions and agents to optimize decision-making, enhance predictive capabilities, automate workflows, and unlock actionable insights with a focus on market and competitive intelligence. Key Responsibilities: - Develop and implement predictive models, machine learning algorithms, and AI solutions, and AI agents to solve business challenges. - Clean, preprocess, and analyze large-scale datasets (structured and unstructured) to extract meaningful patterns. - Implement reinforcement learning (RL), natural language processing (NLP), and multi-agent systems to solve complex industrial challenges. - Translate business requirements into modular, reusable AI agent architectures. - Build end-to-end AI agent pipelines, including data ingestion, model training, validation, and deployment in production environments. - Conduct testing and performance monitoring of AI agents to ensure scalability and reliability. - Collaborate closely with software engineers, product managers, and business stakeholders to integrate AI solutions into products and operations. - Document methodologies, findings, and model performance comprehensively to ensure reproducibility, transparency, and knowledge sharing across the organization. Qualifications: - Strong statistical analysis and problem-solving skills. - Ability to translate business requirements into technical solutions. - Excellent communication and teamwork skills. - Strong understanding of multi-agent systems, decision optimization, and autonomous learning. - Ability to design scalable, fault-tolerant AI architectures. - Innately curious, highly adaptable, and possessing strong intellectual curiosity with a continuous learning mindset. - Proactive problem-solver with a knack for identifying opportunities to leverage data and AI for business value. - Proven ability to present complex analytical findings clearly and concisely to both technical and non-technical stakeholders, utilizing data visualization tools. - Degree in Data Science, Computer Science, AI, or related field. - 3-5+ years of experience in AI/ML model development and deployment. - Proven expertise in RapidMiner and/or similar solutions for data preparation, modeling, and automation. - Proficiency in programming languages (Python, R, SQL). - Experience with big data tools (Snowflake, Spark, Hadoop). - Familiarity with agent-based modeling tools (e.g., LangChain, AutoGen, RLlib). - Practical experience with version control systems (e.g., Git) for collaborative code development and model management. - Experience with cloud platforms (e.g., AWS, Azure, GCP) for data storage, processing, and model deployment. - Demonstrated experience in deploying and managing machine learning models in production environments (MLOps). (Note: Omitted the section "Any additional details of the company if present in JD" as it was not part of the provided job description.),

Role Overview: You are being hired as a Data Science Manager at Rockwell Automation. Your main responsibility will be to lead strategic data initiatives, drive advanced analytics solutions, and mentor junior data professionals. You will be based in Balewadi, Pune and report to the Manager, Software Engineering. Your role will involve client engagement & delivery, technical leadership, strategy & innovation, team development, and project & stakeholder management. Key Responsibilities: - Understand client business challenges and propose end-to-end AI/ML/data science solutions. - Lead client-facing engagements, presenting analytical findings and business recommendations. - Translate business requirements into technical deliverables and measurable outcomes. - Architect and develop predictive models, optimization algorithms, and statistical analyses. - Oversee data preparation, feature engineering, model selection, validation, and deployment. - Contribute to the development of analytics strategy and roadmap for enterprise clients. - Identify and drive opportunities for AI/ML adoption across business functions. - Mentor and guide data scientists and analysts on best practices and solution delivery. - Manage timelines, deliverables, and quality for complex analytics projects. - Collaborate with cross-functional teams including business, engineering, IT, and domain expertise. Qualification Required: - Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or related fields. - 12+ years of relevant experience in data science, machine learning, or AI roles. - Strong foundation in statistics, ML algorithms, NLP, deep learning, or operations research. - Hands-on expertise with Python (scikit-learn, pandas, numpy), R, SQL, and data visualization tools. - Experience working with big data frameworks like Spark, Hadoop, or cloud-native tools. - Proficiency in deploying models into production environments (MLOps is recommended). - Experience in solving complex business problems with data. Additional Details: Rockwell Automation is a global technology leader that aims to help manufacturers be more productive, sustainable, and agile. With a diverse workforce that is dedicated to making the world a better place, the company values problem solvers who take pride in the positive impact of their work. Rockwell Automation offers comprehensive mindfulness programs, volunteer paid time off, employee assistance programs, personalized wellbeing programs, and other local benefits to its employees. (Note: The information regarding the company's benefits and policies has been included for your reference.),

Role Overview: As a Senior Data Scientist within the Quality and Business Planning team, you are passionate about delivering quality products. This involves deploying statistical and analytic methods, measurements, and machine learning models to measure and impact the quality of map products. You are responsible for developing sampling and test designs, data and computing workflows, and analytics centered on Map and Location quality requirements. You are expected to be an expert on statistical and experimental design methods for Map and Location quality testing processes. Your role also includes interpreting project objectives and requirements, creating enabling data science solutions, and producing impactful outcomes. Additionally, you will be developing sampling plans for data collection, quality evaluation, and the production of training data, along with technical estimators for the evaluation of map quality and A/B experiments to validate optimization and solution approaches. Building and testing statistical and machine learning models to support the improvement of various data-driven processes for map making is also a key part of your responsibilities. You will design and develop data and computing tools to enable the processing of quality testing data and results. Collaboration with map and location experts, engineering teams, and other teams across the company is essential to enable the delivery of high-quality map products. Key Responsibilities: - Develop sampling plans for data collection, quality evaluation, and the production of training data - Create technical estimators for the evaluation of map quality - Conduct A/B experiments to validate optimization and solution approaches - Build and test statistical and machine learning models to support improvement of data-driven processes for map making - Design and develop data and computing tools for processing quality testing data and results - Collaborate with map and location experts, engineering teams, and other teams across the company to deliver high-quality map products Qualifications Required: - Master's or PhD degree in statistics, mathematics, computer sciences, natural sciences, econometrics, or related fields - 5+ years of related work experience - Proficiency and understanding of sampling methods and experimental design - Proficiency with machine learning and modeling techniques, including analytic methods such as regression, classifiers, clustering, association rules, decision trees, etc. - Proficiency with analysis and programming in Python and SQL, or similar packages (R, Matlab, SAS, etc.) - Knowledge and experience with using GIS tools for spatial data analysis - Experience with understanding, specifying, and explaining measurement and analytic systems with other teams of data scientists and engineers to execute projects delivering those solutions Additional Company Details: HERE Technologies is a location data and technology platform company. The company empowers its customers to achieve better outcomes, from helping a city manage its infrastructure to guiding drivers to their destination safely. HERE Technologies takes pride in creating solutions that fuel innovation, provide opportunity, and foster inclusion to improve people's lives. If you are inspired by an open world and driven to create positive change, HERE Technologies welcomes you to join their team. Learn more about the company on their YouTube Channel.,

As a Data Scientist at NiCE, you will be part of a dynamic team dedicated to solving complex fraud-related problems using advanced analytics and machine learning techniques. Your role will involve working with large, complex datasets to analyze fraud cases, build predictive models, and enhance existing models to detect and prevent fraudulent transactions effectively. Key Responsibilities: - Analyze fraud cases and identify inconsistencies in large, complex datasets. - Build, validate, and optimize machine learning models for fraud detection and prevention. - Research data patterns to predict fraudulent transactions and improve model performance. - Enhance existing models using advanced computational algorithms and techniques. - Develop compelling visualizations to communicate trends and insights to stakeholders. - Collaborate with cross-functional teams to deliver scalable analytical solutions. - Stay updated with the latest advancements in Data Science and Machine Learning. - Communicate analytical findings clearly to both technical and non-technical audiences. - Advocate technical solutions and support model deployment. - Contribute to innovation forums and knowledge-sharing initiatives across the organization. Qualifications Required: - 2 to 4 years of relevant Data Science experience. - Strong analytical, problem-solving, and communication skills. - Ability to explain complex analytical concepts to non-technical stakeholders. - Experience working in agile, multidisciplinary teams. - Self-driven, collaborative, and committed to delivering high-quality outcomes. Core Skills: - Advanced degree in Statistics, Mathematics, Computer Science, Engineering, or related fields. - Strong knowledge of statistical techniques such as regression, feature selection, time series, etc. - Proficiency in SQL, Excel, and Python (3.7+). - Hands-on experience with ML techniques like clustering, decision trees, boosting, etc. - Experience developing and deploying classification and regression models at enterprise scale. - Understanding of logistic regression and regularization techniques. - Familiarity with MLOps frameworks and containerized environments, with exposure to Kubernetes. - Experience troubleshooting production data and deployed models. - Exposure to cloud platforms, with a preference for AWS or Azure. - Experience with visualization tools and presenting insights clearly. Additional Desired Qualifications: - Experience in fraud analytics, financial crime, or risk management models. - Knowledge of financial systems and data standards. - Experience with containerized model development using Kubernetes. - Exposure to the banking or financial services domain. Join NiCE, a global company where innovation, collaboration, and growth opportunities abound. As a NiCEr, you will work in a fast-paced, creative environment alongside top talent, with endless possibilities for internal career advancement. Embrace NiCE-FLEX, a hybrid work model offering flexibility and fostering teamwork and innovation. Apply now and be part of the NiCE journey!,

Role Overview: As a Senior Analyst, Internal Audit AML/BSA Data Scientist at Synchrony, you will be a key member of the Internal Audit team, reporting to the VP of Internal Audit Compliance and Risk Management. Your role involves leveraging data science and data engineering to support AML/BSA audit activities. You will be responsible for creating advanced analytics solutions to enhance decision-making processes and provide robust data analytics support to the audit team. Your innovative solutions will improve audit efficiency, automate processes, and generate actionable insights, working closely with audit professionals and stakeholders to drive continuous improvement in AML/BSA audit practices. Key Responsibilities: - Deliver advanced analytics to support AML/BSA audit activities, including cycle audits, issue validation, remediation activities, and special projects. - Design and deploy analytic scripts and dashboards to communicate actionable insights to audit stakeholders. - Ensure the accuracy and integrity of data used in AML engagements through data transformation techniques. - Deploy automation on repetitive audit tasks using data analytics and data engineering techniques. - Collaborate with the Internal Audit team and remediation teams to understand audit test objectives, data requirements, and integrate data insights into action plans. - Lead data analytics from beginning to end, including ideation, data mining, strategy formulation, and presentation of results and recommendations. Qualifications Required: - Bachelor's degree in Engineering, Computer Science, Data Science, or related fields with a minimum of 3+ years of experience in writing and optimizing SQL/SAS queries in a business environment. In lieu of a degree, 5+ years of experience in the same. - Knowledge of data warehouse technical architecture, ETL, and analytic tools for extracting unstructured and structured data. - Proficiency in coding with Python, experience with visualization software like Tableau or Power BI, and managing, moving, and manipulating data from multiple sources. - Familiarity with segmentation techniques and model development techniques. - Ability to provide analytic support, interpret data, make strategic recommendations, and present to key stakeholders. - Strong communication, relationship building, influencing, collaboration, and project management skills. - Ability to work independently, multitask, and prioritize projects effectively. Additional Company Details: Synchrony, a premier consumer financial services company, offers a complete digitally enabled product suite across various industries. The company has been recognized for its inclusive workplace culture, career advancement opportunities, and employee benefits that prioritize work-life integration and overall well-being. As a remote position, you will have the flexibility to work from home, with occasional in-person engagement activities at the nearest office for team meetings, training, and culture events. Grade/Level: L09 Work Timings: 3:00 PM to 12:00 AM IST Eligibility Criteria: - Bachelor's degree in Engineering, Computer Science, Data Science, or related fields with a minimum of 3+ years of experience in writing and optimizing SQL/SAS queries in a business environment. In lieu of a degree, 5+ years of experience in the same. - Enhanced Flexibility and Choice offered in Synchrony India, requiring availability between 06:00 AM Eastern Time and 11:30 AM Eastern Time for meetings with India and US teams, with flexible remaining hours for the employee to choose.,

Role Overview: Join the Data Science and Artificial Intelligence Team at Hitachi Solutions to fast-track your career in a disruptive startup atmosphere. As a Data Scientist, you will have the opportunity to work with a team of fun and nerdy colleagues focused on hypergrowth and engineering excellence. Your main goal will be to transform the company into a billion-dollar product company by making the cloud easier for customers. Key Responsibilities: - Execute tasks with a bias towards action, set high standards, collaborate with teams, and think boldly - Continuously learn new techniques and technologies, pushing the practice forward - Design and deploy end-to-end AI systems and pipelines - Communicate clearly with clients and peers - Gather requirements from business stakeholders to solve problems and translate them into solutions - Manage time effectively, set client expectations, and deliver quality work within deadlines Qualifications: - Master's Degree in Computer Science, Data Science, or related fields, or equivalent professional experience - Experience working with cloud technologies like Azure Databricks and MLflow on the Azure stack - Strong interpersonal and communication skills to explain technical concepts to non-technical audiences - Ability to work independently, collaborate in diverse teams, prioritize tasks, and thrive in a fast-paced environment - Proficiency in various modeling algorithms, feature engineering, model evaluation, and EDA - Strong programming skills in Python/PySpark and SQL - Understanding of distributed systems and the ability to build models for different serving environments (Note: Additional company information was not provided in the job description),

Role Overview: As a Manager - Technical Support at the Business Intelligent division of GSS team in Pune, India, you will be responsible for leading a talented team of data scientists. Your role will involve providing technical guidance, managing complex projects, and driving data-driven decision-making across the organization. You will mentor team members, define the data science roadmap, and translate business challenges into impactful data science solutions. Key Responsibilities: - Lead the Data Scientists team and oversee the day-to-day activities of technical teams - Promote continuous professional and personal development of team members - Provide guidance within established company policies and recommend changes if needed - Improve knowledge management, customer-centric mindset, and problem-solving capabilities of the team - Manage internal stakeholders" requirements and expectations related to data and Artificial Intelligence (AI) projects - Lead improvement initiatives on Customer Experience and Engagement department processes aligned with Business Intelligence team's expectations - Prepare a program plan for Business Intelligence programs, identify resources for collaboration, and assist with forecasting and capacity planning - Collaborate with Product Engineering, Business Units, Quality Engineering, Documentation group, Sales function, Solution Architects, and marketing teams as required Qualifications Required: - Proficiency in utilizing LLMs (e.g., Google Gemini) for various tasks - Hands-on experience in data science or machine learning role - Experience in a leadership or management capacity, directly managing a team of data scientists or analysts - Demonstrated success in delivering machine learning models that solve real-world business problems and generate measurable impact Additional Details about Red Hat: Red Hat is the world's leading provider of enterprise open source software solutions, utilizing a community-powered approach to deliver high-performing technologies. With associates working flexibly across various work environments, Red Hat encourages creativity, inclusivity, and innovation. The culture at Red Hat is built on open source principles of transparency, collaboration, and inclusion, empowering individuals from diverse backgrounds to contribute ideas and drive innovation. Inclusion at Red Hat: Red Hat values transparency, collaboration, and inclusion to empower individuals to share ideas, challenge the status quo, and drive innovation regardless of background. Red Hat is committed to providing equal opportunity and access to all individuals, celebrating diverse voices and experiences. Applicants from all backgrounds are welcomed and encouraged to contribute to Red Hat's inclusive culture.,