2540 Data Science Jobs - Page 9

Experience using Python, SciKit, SQL, Snowflake, hit-level Adobe Analytics data, product usage data, Jupyter Notebooks, Amazon SageMaker, Airflow, Github. Proficiency with data mining, mathematics, and statistical analysis techniques. Required Candidate profile 5+ yrs experience as Data Scientist Strong knowledge with Deep Learning & Machine Learning,LLM knowledge & experience with SQL & python is must Must be from Ahmadabad or open to relocate to Ahmadabad

Full time with top German MNC for location Bangalore SKILLS SET: Statistical & Mathematical Concepts Descriptive statistics, probability distributions, hypothesis testing, p-values, confidence intervals, correlation, A/B testing Data Handling & Analysis Data cleaning, missing values, outlier detection, feature engineering, feature selection, EDA, dimensionality reduction, PCA, t-SNE, time series Machine Learning Techniques Supervised: linear regression, logistic regression, decision trees, random forests, SVM, k-NN, gradient boosting, XGBoost Unsupervised: k-means, hierarchical clustering, DBSCAN, PCA, anomaly detection Model Evaluation & Optimization Accuracy, precision, recall, F1-score, ROC-AUC, RMSE, MAE, R, cross-validation, grid search, random search, bias-variance trade-off Programming & Tools Python, NumPy, Pandas, scikit-learn, matplotlib, seaborn, SQL, Jupyter Notebooks, Google Colab SQL Skills Select statements, joins (inner, outer, left, right), group by, having, subqueries, filtering, sorting, aggregations (SUM, AVG, COUNT), window functions (ROW_NUMBER, RANK, LAG, etc.), CTEs etc.

We are seeking a passionate andskilled Data Scientist to join our dynamic team and help us drive innovationthrough advanced analytics and machine learning. Key Responsibilities: Develop and implement machine learning and deep learning models for various business problems, with a strong focus on time series forecasting. Analyze large, complex datasets to extract actionable insights and identify trends, patterns, and opportunities for improvement. Design, build, and validate predictive models using state-of-the-art techniques, ensuring scalability and robustness. Collaborate with cross-functional teams (Product, Engineering, Business) to translate business requirements into data science solutions. Communicate findings and recommendations clearly to both technical and non-technical stakeholders. Stay updated with the latest research and advancements in machine learning, deep learning, and time series analysis, and proactively apply new techniques as appropriate. Mentor junior team members and contribute to a culture of continuous learning and innovation. Requirements Required Skills &Qualifications: \u200b 3-5 years of hands-on experience in data science, machine learning, and statistical modeling. Strong expertise in time series forecasting (ARIMA, XGBoost, RandomForest, TFT, NHITS, etc.) and familiarity with deep learning frameworks (TensorFlow, PyTorch). Excellent programming skills in Python (preferred), with proficiency in libraries such as NumPy, Pandas, scikit-learn, and visualization tools (Matplotlib, Seaborn, Plotly). Solid conceptual understanding of machine learning algorithms, deep learning architectures, and statistical methods. Experience with data preprocessing, feature engineering, and model evaluation. Ability to learn quickly and adapt to new technologies, tools, and methodologies. Strong problem-solving skills and a keen attention to detail. Excellent communication and presentation skills. PreferredQualifications: Experience with cloud platforms and MLOps tools. Exposure to big data technologies (Spark, Hadoop) is a plus. Master degree in Computer Science, Statistics, Mathematics, or a related field.

We are seeking a passionate andskilled Data Scientist to join our dynamic team and help us drive innovationthrough advanced analytics and machine learning. Key Responsibilities: Develop and implement machine learning and deep learning models for various business problems, with a strong focus on time series forecasting. Analyze large, complex datasets to extract actionable insights and identify trends, patterns, and opportunities for improvement. Design, build, and validate predictive models using state-of-the-art techniques, ensuring scalability and robustness. Collaborate with cross-functional teams (Product, Engineering, Business) to translate business requirements into data science solutions. Communicate findings and recommendations clearly to both technical and non-technical stakeholders. Stay updated with the latest research and advancements in machine learning, deep learning, and time series analysis, and proactively apply new techniques as appropriate. Mentor junior team members and contribute to a culture of continuous learning and innovation. Requirements Required Skills &Qualifications: 3-5 years of hands-on experience in data science, machine learning, and statistical modeling. Strong expertise in time series forecasting (ARIMA, XGBoost, RandomForest, TFT, NHITS, etc.) and familiarity with deep learning frameworks (TensorFlow, PyTorch). Excellent programming skills in Python (preferred), with proficiency in libraries such as NumPy, Pandas, scikit-learn, and visualization tools (Matplotlib, Seaborn, Plotly). Solid conceptual understanding of machine learning algorithms, deep learning architectures, and statistical methods. Experience with data preprocessing, feature engineering, and model evaluation. Ability to learn quickly and adapt to new technologies, tools, and methodologies. Strong problem-solving skills and a keen attention to detail. Excellent communication and presentation skills. PreferredQualifications: Experience with cloud platforms and MLOps tools. Exposure to big data technologies (Spark, Hadoop) is a plus. Master degree in Computer Science, Statistics, Mathematics, or a related field.

Job Description Department: Research & Development Key Responsibilities: Architect and implement scalable, reliable cloud-based solutions. Oversee infrastructure management, ensuring seamless integration with Rust-based microservices. Implement and maintain CI/CD pipelines for automated deployments. Optimize cloud costs while ensuring high performance and reliability. Drive platform security, including compliance with industry standards. Automate workflows to improve operational efficiency. Collaborate with development and data science teams for platform integration. Required Skills and Qualifications: Expertise in cloud platforms like AWS, Azure, or Google Cloud. Expertise in architecting cloud infrastructure and security solutions. Strong knowledge of containerization (Docker, Kubernetes) and Infrastructure as Code (Terraform, Ansible). Good working knowledge of Open Search, Elastic Search Strong networking, security, and database management skills. Leadership experience with a proven ability to mentor and manage teams. Master s degree in Computer Science, Engineering, or related field. Knowledge of serverless architectures and edge computing. Exposure to observability tools and practices. Understanding of SRE (Site Reliability Engineering) principles.

Job Description Department: Research & Development Key Responsibilities: Lead the design, development, and deployment of data-driven solutions, leveraging Python and machine learning frameworks. Oversee data strategy, ensuring quality, governance, and security. Build and optimize predictive models to solve business challenges. Collaborate with cross-functional teams to integrate data science workflows with Rustbased microservices and cloud platforms. Mentor and guide the data science team, fostering a culture of continuous learning. Stay updated with the latest advancements in AI/ML and recommend their adoption. Required Skills and Qualifications: Proficiency in Python and data science libraries (TensorFlow, PyTorch, Pandas, Scikitlearn). Expertise in AI/ML algorithms, statistical modeling, and data visualization. Good to have experience with big data tools like Hadoop, Spark, or similar. Knowledge of deploying models in production environments. Strong understanding of data governance and compliance standards. Leadership experience with a focus on team management and innovation. Advanced degree in Data Science, Machine Learning, Statistics, or related field. Experience with real-time analytics and streaming data frameworks (e.g., Kafka, Flink). Familiarity with graph-based databases like Neo4j or JanusGraph. Knowledge of AutoML,MLops, frameworks and tools. Exposure to cloud-based AI/ML services (AWS SageMaker, Google AI Platform, Azure ML). Working Experiance on LLM, LAMA, Mistral, RAG, Agentised RAG, LORA, and Model Optimization

Job Description: Role : Data Scientist (5 to 8 years) Location: Bangalore This is Contract to Hire role . We are seeking a highly skilled and motivated Data Scientist with expertise in leveraging data to inform business strategy and drive product innovations. In this role, you will apply your expertise in machine learning and analytics. As Data Scientist you will play a crucial role in developing and implementing innovative solutions that leverage AI/ML platform to extract valuable insights from complex data sets. Your work will contribute to enhancing our data-driven decision-making processes and advancing our products and services. Responsibilities: Improve the performance of RCM processes by building and launching machine learning models such as insurance eligibility prediction Design, execute, and analyze A/B testing experiments to measure model performance and validate product hypotheses Define metrics and create dashboards to measure product performance Generate insights through deep-dive analysis to inform strategy and prioritization Collaborate with product, engineering, and marketing stakeholders to define the product roadmap Identify opportunities and initiate new data science projects that drive company OKRs Communicate technical insights effectively to influence decision-making Skills and Qualifications: You have a Masters degree in a relevant quantitative field (e.g. data science, computer science, statistics, economics) or equivalent in industry experience You have 5-8 years of experience as a data scientist supporting product development You are an expert in SQL You are proficient in either R or Python for data analysis You have successfully developed and launched ML models with quantifiable business impact You have experience designing and analyzing A/B testing experiments and guide product decisions with experimental insights You are results-driven and passionate about building great products, with a proven track record of taking projects from inception to launch Notice Period: Immediate Joiner to 15 days Interested Candidates Share Resume at dipti.bhaisare@in.experis.com

About Us: Founded in 2008, Red & White is Gujarats leading NSDC & ISO-certified institute, focused on industry-relevant education and global employability. Role Overview: Were hiring a faculty member to teach AI, Machine Learning, and Data Science. The role includes delivering lectures, guiding projects, mentoring students, and staying updated with tech trends. Key Responsibilities: Deliver high-quality lectures on AI, Machine Learning, and Data Science . Design and update course materials, assignments, and projects. Guide students on hands-on projects, real-world applications, and research work. Provide mentorship and support for student learning and career development. Stay updated with the latest trends and advancements in AI/ML and Data Science. Conduct assessments, evaluate student progress, and provide feedback. Participate in curriculum development and improvements. Skills & Tools: Core Skills: ML, Deep Learning, NLP, Computer Vision, Business Intelligence, AI Model Development, Business Analysis. Programming: Python, SQL (Must), Pandas, NumPy, Excel. ML & AI Tools: Scikit-learn (Must), XGBoost, LightGBM, TensorFlow, PyTorch (Must), Keras, Hugging Face. Data Visualization: Tableau, Power BI (Must), Matplotlib, Seaborn, Plotly. NLP & CV: Transformers, BERT, GPT, OpenCV, YOLO, Detectron2. Advanced AI: Transfer Learning, Generative AI, Business Case Studies. Education & Experience Requirements: Bachelor's/Masters/Ph.D. in Computer Science, AI, Data Science, or a related field. Minimum 1+ years of teaching or industry experience in AI/ML and Data Science. Hands-on experience with Python, SQL, TensorFlow, PyTorch, and other AI/ML tools. Practical exposure to real-world AI applications, model deployment, and business analytics. For further information, please feel free to contact 7862813693 us via email at career@rnwmultimedia.edu.in

Experienced technology leader with 15+ years in software development, including 10+ years in senior management roles. Proven expertise in building and leading high-performing engineering teams, with a strong focus on innovation, Generative AI, and Data Science to drive performance. Skilled in product and infrastructure development across both startups and large organizations. Deep understanding of SDLC, Agile methodologies, and engineering strategy, including OKRs and roadmaps. Strong leadership, coaching, and communication skills, with a passion for cloud technologies, scalable systems, and delivering high-quality software. Adaptable, self-motivated, and driven by impact. Only considering applicants with a notice period of up to 30 days. For more information, please share your updated CV to admin@spearheadps.com OR via WhatsApp at [ 9899080360 ]. If you know someone who might be a good fit, please share this email with them.

Design, develop, and deploy AI/ML models; build scalable, low-latency ML infrastructure; run experiments; optimize algorithms; collaborate with data scientists, engineers, and architects; integrate models into production to drive business value. Required Candidate profile 5–10 yrs in AI/ML, strong in model development, optimization, and deployment. Skilled in Azure, ML pipelines, data science tools, and collaboration with cross-functional teams.

About the Role - We are seeking an experienced Senior Machine Learning Engineer to design, optimize, and deploy ML models that address real-world challenges. The ideal candidate will have 5+ years of expertise in machine learning, deep learning, and data science, with hands-on experience in real-time data processing. You will be responsible for improving model performance based on feedback and deploying them in production. Strong proficiency in Python is required. Key Responsibilities: Design and optimize machine learning models. Deploy ML models in production and improve performance. Work with real-time data to solve complex problems. Continuously enhance models based on field feedback. Skills Required: 5+ years of experience in machine learning and deep learning. Strong Python programming skills. Experience with real-time data and production deployment. Location: Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad

About the Company: Brakes India is at the forefront of leveraging AI-driven analytics in manufacturing. We are setting up an Advanced Analytics team to drive data-driven decision-making across the organization. About the Role: We are looking for an experienced Senior Data Scientist who will be part of this new Center of Excellence (CoE) and help build a high-performing analytics team. In this role, you will leverage your expertise in data analysis, machine learning, and artificial intelligence to drive insights and develop innovative solutions. You will collaborate with business SMEs and other IT divisions to identify business challenges and implement data-driven strategies that enhance our products and processes, and helps grow our business. Responsibilities: The Senior Data Scientist will Collect, clean, and analyze large datasets to extract meaningful insights. Utilize statistical methods to interpret data and identify trends. Design, develop, and implement machine learning models and algorithms tailored to specific business needs. Optimize models for performance and accuracy. Work closely with stakeholders to define project goals and deliver actionable insights. Stay up-to-date with the latest Al/ML trends, tools, and technologies. Experiment with new approaches to enhance our data science capabilities. Present findings and recommendations to both technical and non-technical audiences. Prepare clear documentation for methodologies and results. Develop metrics to assess the effectiveness of models and solutions. Continuously monitor and improve model performance. Lead the CoE to meet its stated objectives for formulating policies, standards, ethics, tools, technology stack and procedures around the use of AI and ML in the organization, among others. Mentor data scientists and support in organizational skilling in AI. Qualifications: Masters or bachelors degree in computer science, Data Science, Statistics, or a related field. Required Skills: 5-7 years' experience in data science, machine learning, or artificial intelligence, with a strong portfolio of projects. Proficiency in programming languages such as Python, R, or Java, SQL Experience in ML Platforms like Azure Machine Learning, Databricks, Azure Data Factory and with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). Expertise in working with Big Data technologies (eg Hadoop, Spark) & databases like Azure Data Lake, Delta Lake, Snowflake. Strong in MLOps & Deployment: Model training, versioning, monitoring, and deployment. Strong statistical analysis skills and experience with data visualization tools (e.g., Power BI, Matplotlib, Seaborn). Experience with deep learning frameworks and natural language processing (NLP). Understanding of business process and ability to translate business needs into technical requirements. Experience in AI/ML deployment Manufacturing industry is highly desired. Excellent problem-solving and critical-thinking skills. Strong communication and interpersonal skills. Experience in setting up CoEs or analytics practices is a plus. Why Join Us? Opportunity to be part of an Advanced Analytics CoE setup. Work on cutting-edge AI & ML projects in manufacturing. Direct impact on business-critical decisions and process optimization. Collaborative work culture with a focus on innovation and growth.

Title : Lead Data Scientist/ML Engineer (6+ years & above) Required Technical Skillset : Language : Python , PySpark Framework : Django, Flask, Fastapi, Libraries : NumPy, Pandas, Matplotlib, SciPy, Scikit-learn - DataFrame, Numpy, boto3 Database : Relational Database(Postgres), NoSQL Database (MongoDB), Good to have -SQL Cloud : AWS cloud platforms Other Tools : Jenkins, Bitbucket, JIRA, Confluence Good to Have: agentic ai, ai agent A machine learning engineer is responsible for designing, implementing, and maintaining machine learning systems and algorithms that allow computers to learn from and make predictions or decisions based on data. The role typically involves working with data scientists and software engineers to build and deploy machine learning models in a variety of applications such as natural language processing, computer vision, and recommendation systems. The key responsibilities of a machine learning engineer includes : - Collecting and preprocessing large volumes of data, cleaning it up, and transforming it into a format that can be used by machine learning models. - Model building which includes Designing and building machine learning models and algorithms using techniques such as supervised and unsupervised learning, deep learning, and reinforcement learning. - Evaluating the model performance of machine learning models using metrics such as accuracy, precision, recall, and F1 score. - Deploying machine learning models in production environments and integrating them into existing systems using CI/CD Pipelines, AWS Sagemaker - Monitoring the performance of machine learning models and making adjustments as needed to improve their accuracy and efficiency. - Working closely with software engineers, product managers and other stakeholders to ensure that machine learning models meet business requirements and deliver value to the organization. Requirements and Skills : Mathematics and Statistics : - A strong foundation in mathematics and statistics is essential. - They need to be familiar with linear algebra, calculus, probability, and statistics to understand the underlying principles of machine learning algorithms. Programming Skills : - Should be proficient in programming languages such as Python . - The candidate should be able to write efficient, scalable, and maintainable code to develop machine learning models and algorithms. Big Data Technologies : - A machine learning engineer should have experience working with big data technologies such as Hadoop, Spark, and NoSQL databases. - They should be familiar with distributed computing and parallel processing to handle large data sets. Software Engineering : - A machine learning engineer should have a good understanding of software engineering principles such as version control, testing, and debugging. - They should be able to work with software development tools such as Git, Jenkins, and Docker. Communication and Collaboration : - A machine learning engineer should have good communication and collaboration skills to work effectively with cross-functional teams such as data scientists, software developers, and business stakeholders.

Job Description We are seeking an experienced and dynamic Senior Talent Acquisition Specialist to lead end-to-end recruitment efforts across key technical functions, including Data Engineering, Data Science, and Business Intelligence . This pivotal role will manage the full hiring lifecycle from creating and overseeing job requisitions and postings to partnering closely with hiring managers, building strong talent pipelines, screening candidates, and ensuring an exceptional candidate experience. The ideal candidate will bring deep expertise in the technology landscape and a proven track record in technical recruiting. This individual will thrive in a fast-paced, high-volume environment and demonstrate a passion for finding and attracting top talent. In addition to recruiting responsibilities, the Senior Talent Acquisition Specialist will play a vital role in employer branding , helping to communicate and amplify what makes our company an outstanding place to work. A strong attention to detail is essential, particularly in maintaining and optimizing the Applicant Tracking System (ATS) to ensure accurate candidate tracking and efficient reporting. Above all, we are looking for someone who is committed to delivering an exceptional candidate experience from the first impression to the final interaction while consistently representing and strengthening the Blend employer brand . Key Responsibilities Lead full-cycle recruitment across technology functions. Develop and implement effective recruitment strategies to attract top talent. Collaborate with hiring managers to understand their staffing needs and create job descriptions. Build and execute sourcing strategies to attract passive and active candidates through job boardes, social media, employee referrals, and networking Use data and analytics to track metrics such as time-to fill, source of hire and pipeline health. Manage ATS workflows, maintain accurate records. Build and maintain relationships with external recruitment agencies and job boards. Enhance employer branding initiatives to attract candidates through social media and other marketing channels. Qualifications Required: 5+ years of progressive experience in talent acquisition, with a minimum of 3 years specifically focused on hiring Data Engineering, Data Science, and/or Business Intelligence professionals. Demonstrated understanding of various data technologies, methodologies (e.g., Big Data, Python, R, SQL, Spark, cloud platforms like AWS/Azure/GCP, machine learning algorithms, data warehousing, ETL tools, BI platforms like Tableau/Power BI). Proven ability to develop and execute effective sourcing strategies for highly specialized technical roles. Strong analytical skills with the ability to use data to drive recruitment decisions and report on performance. Exceptional communication, interpersonal, and negotiation skills. Proficiency with Applicant Tracking Systems (ATS). Preferred: Experience recruiting in a fast-paced, high-growth technology environment. Familiarity with employer branding strategies and social media recruitment.

Job Summary What you need to know about the role We are looking for Manager Data Science with experience of Managing large portfolios to develop PayPal s Risk strategy within the SMB Fraud Risk solutions team. Manager Data Science will be the end-to-end owner of the consumer risk for SMB products and is responsible for end-to-end management of loss and decline rates. Day-to-day duties include leading a team of data scientists to deliver impactful, data-driven solutions across the business. This role combines technical expertise with strategic leadership to guide end-to-end project execution, from defining business problems to deploying models and delivering insights. The manager also aligns cross-functional stakeholders and ensures the Risk strategy function contributes meaningfully to business growth and innovation. Meet our team PayPals Global Fraud Protection team is responsible for partnering with global business units to manage a variety of risk of various types, including identity fraud, account takeover, stolen financial fraud, and credit issues. This is an exciting department that plays an important role in contributing PayPals bottom line financial savings, ensuring safe and secure global business growth, and delivering the best customer experience. This open opportunity is within the SMB Fraud Risk team. This portfolio is comprised of PayPal s leading-edge SMB payments solutions, such as Bill Pay, Invoicing, Zettle, Donations etc. as well as customized experiences developed for the company s highest-priority strategic Markets and Partnerships. Job Description Your way to impact You will be the Manager Data Science in the Fraud Risk team , where you will work on leading new projects to build and improve the Risk strategies to prevent fraud using the Risk tooled and custom data & AL/ML models. In this position, you will be partnering with the corresponding Business Units to align with and influence their strategic priorities, educate business partners about Risk management principles, and collaboratively optimize the Risk treatments and experiences for these unique products and partners. Your day to day In your day-to-day role you will - In this role you will have full ownership of a consumer risk for SMB products and will be responsible for end-to-end management of loss and decline rates working with a few Data Scientists in the team. Collaborate with different teams to develop strategies for fraud prevention, loss savings, and optimize transaction declines or improve customer friction. Work on multiple assignments simultaneously while focus on how to achieve overall analytic objectives of a project with speed and quality and suggest ideas for execution and efficiency. The manager also aligns cross-functional stakeholders and ensures the Risk strategy function contributes meaningfully to business growth and innovation while meeting KPIs such as Authentication and loss rate targets. What do you need to bring- 9-1 2 years of relevant experience working with large-scale complex dataset along with managing a team of 3-6 Data Scientists. Strong analytical mindset, ability to decompose business requirements into an analytical plan, and execute the plan to answer those business questions Excellent communication skills, equally adept at working with engineers as well as business leaders Want to build new solutions and invent new approaches to big, ambiguous, critical problems Strong working knowledge of Excel, SQL and Python/R Technical Proficiency Exploratory Data Analysis and expertise in preparing a clean and structured data for model development. Experience in applying AI/ML techniques for business decisioning including supervised and unsupervised learning (e.g., regression, classification, clustering, decision trees, anomaly detection, etc.). Knowledge of model evaluation techniques such as Precision, Recall, ROC-AUC Curve, etc. along with basic statistical concepts.

Job_Description":" Immediate DS Role Requirements Key Skillset Must have supply chain experience with ML , especially in Demand Planning and Retail Merchandise Financial Planning Strong expertise in Time Series Forecasting using: Statistical models: ARIMA , Exponential Smoothing , Prophet ML models: XGBoost , LightGBM , etc. Minimum 1 year of hands-on o9 platform experience Proficient in Python/R and relevant data science libraries Experience in building end-to-end ML pipelines for forecasting Strong understanding of demand drivers and retail planning cycles Excellent communication and cross-functional collaboration skills Experience required: 6+ years for Architects ","

Job_Description":" Immediate DS Role Requirements Key Skillset Must have supply chain experience with ML , especially in Demand Planning and Retail Merchandise Financial Planning Strong expertise in Time Series Forecasting using: Statistical models: ARIMA , Exponential Smoothing , Prophet ML models: XGBoost , LightGBM , etc. Minimum 1 year of hands-on o9 platform experience Proficient in Python/R and relevant data science libraries Experience in building end-to-end ML pipelines for forecasting Strong understanding of demand drivers and retail planning cycles Excellent communication and cross-functional collaboration skills Experience required: 10+ years for Architects ","

Job Opening: Faculty in Business Analytics at ITM Group of Institutions, Navi Mumbai How to Apply: Call 86575 47930 ( Anuja Bhosale) for inquiries. Email your resume to careers@itm.edu or anujab@itm.edu Location: ITM Group of Institutions, Kharghar, Navi Mumbai Organization: ITM Group of Institutions (Website) Working Hours: 6 days a week (2nd & 4th Saturday and all Sundays off) General shift Required Candidate Profile: Flexibility Positive attitude Good communication skills Benefits: 3 paid leaves per month Provident Fund (PF) Medical insurance (Mediclaim) Gratuity Job Description: Teach undergraduate/graduate courses in business analytics, data science, machine learning, statistical analysis, and data visualization. Develop and update course materials, including syllabi, lectures, assignments, and exams. Assess and evaluate student performance. Provide academic advising and mentorship. Foster an engaging learning environment that encourages critical thinking. Participate in departmental, college, and university committees. Help organize academic and industry events (conferences, seminars, guest lectures). Stay updated with advancements in business analytics and related fields. Engage in continuous professional development. Collaborate on interdisciplinary projects and maintain professional networks. Join ITM Group of Institutions and make an impact in the field of Business Analytics!

Join us as Assistant Vice President – Data Analyst, for the Financial Crime Operations Data Domain to implement data quality process and procedures, ensuring that data is reliable and trustworthy, then extract actionable insights from it to help the organisation improve its operation, and optimise resources.. Accountabilities. Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification.. Execution of data cleansing and transformation tasks to prepare data for analysis.. Designing and building data pipelines to automate data movement and processing.. Development and application of advanced analytical techniques, including machine learning and AI, to solve complex business problems.. Documentation of data quality findings and recommendations for improvement.. To Be Successful In This Role, You Should Have:. Experience in Data Management, Data Governance including records management. Ability to review business processes from data lens and identify critical upstream and downstream components especially in financial services organisation – understanding of models, EUDAs etc.. Strong understanding of Data Governance, Data Quality & Controls, Data Lineage and Reference Data/Metadata Management including relevant policies and frameworks.. A clear understanding of the elements of an effective control environment, enterprise risk management framework, operational risk or other principal risk frameworks. Experience of managing stakeholders directly & indirectly and across geographies & cultures.. Strong understanding and practical exposure to application of BCBS 239 principles and related frameworks. Commercially astute, demonstrates a consultative, yet pragmatic approach with integrity to solving issues, focusing on areas of significance and value to the business.. A strong understanding of Risk and Control environment/control frameworks/op risk, including understanding of second and third line functions and impact across people, process and technology.. analytical techniques and tools to extract meaningful insights from complex data sets and drive dataStrategic Leadership: Provide strategic direction and leadership for data analysis initiatives, ensuring alignment with organizational and program goals. Functional understanding of financial crime and fraud data domains would be preferred.. Data Governance: Oversee data governance policies and procedures to ensure data integrity, security, and compliance with regulatory requirements.. Stakeholder Collaboration: Collaborate with cross-functional teams to identify data needs and deliver actionable insights.. Advanced Analytics: Utilize advanced driven decision-making. Deliver best in class insights to enable stakeholders to make informed business decisions and support data quality issue remediation.. Perform robust reivew and QA of key deliverables being sent out by the team to stakeholders. Demonstrate a collaborative communication style, promoting trust and respect with a range of stakeholders including Operational Risk/Chief Controls Office/ Chief Data Office/ Financial Crime Operations subject matter experts (SMEs), Chief Data Office, Risk Information Services, Technology. Some Other Desired Skills Include:. Graduate in any discipline. Effective communication and presentation skills.. Experience in Data Management/ Data Governance/ Data Quality Controls, Governance, Reporting and Risk Management preferably in a financial services organisation. Experience in Data Analytics and Insights (using latest tools and techniques e.g. Python, Tableau, Tableau Prep, Power Apps, Aletryx ), analytics on structured and unstructured data. Experience on data bases and data science/ analytics tools and techniques like SQL, AI and ML (on live projects and not just academic projects). Proficient in MS Office – PPT, Excel, Word & Visio. Comprehensive understanding of Risk, Governance and Control Frameworks and Processes. Location Noida. Purpose of the role. To implement data quality process and procedures, ensuring that data is reliable and trustworthy, then extract actionable insights from it to help the organisation improve its operation, and optimise resources.. Accountabilities. Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification.. Execution of data cleansing and transformation tasks to prepare data for analysis.. Designing and building data pipelines to automate data movement and processing.. Development and application of advanced analytical techniques, including machine learning and AI, to solve complex business problems.. Documentation of data quality findings and recommendations for improvement.. Assistant Vice President Expectations. To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.. OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.. Take ownership for managing risk and strengthening controls in relation to the work done.. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.. Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.. Influence or convince stakeholders to achieve outcomes.. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.. Show more Show less

Join us in bringing joy to customer experience. Five9 is a leading provider of cloud contact center software, bringing the power of cloud innovation to customers worldwide, Living our values everyday results in our team-first culture and enables us to innovate, grow, and thrive while enjoying the journey together. We celebrate diversity and foster an inclusive environment, empowering our employees to be their authentic selves, The Data Engineer will help design and implement a Google Cloud Platform (GCP) Data Lake, build scalable data pipelines, and ensure seamless access to data for business intelligence and data science tools. They will support a wide range of projects while collaborating closely with management teams and business leaders. The ideal candidate will have a strong understanding of data engineering principles, data warehousing concepts, and the ability to document technical knowledge into clear processes and procedures, This position is based out of one of the offices of our affiliate Acqueon Technologies in India, and will adopt the hybrid work arrangements of that location. You will be a member of the Acqueon team with responsibilities supporting Five9 products, collaborating with global teammates based primarily in the United States, Responsibilities. Design, implement, and maintain a scalable Data Lake on GCP to centralize structured and unstructured data from various sources (databases, APIs, cloud storage), Utilize GCP services including BigQuery, Dataflow, Pub/Sub, and Cloud Storage to optimize and manage data workflows, ensuring scalability, performance, and security, Collaborate closely with data analytics and data science teams to understand data needs, ensuring data is properly prepared for consumption by various systems (e-g. DOMO, Looker, Databricks). Implement best practices for data quality, consistency, and governance across all data pipelines and systems, ensuring compliance with internal and external standards, Continuously monitor, test, and optimize data workflows to improve performance, cost efficiency, and reliability, Maintain comprehensive technical documentation of data pipelines, systems, and architecture for knowledge sharing and future development, Requirements. Bachelor's degree in Computer Science, Data Engineering, Data Science, or a related quantitative field (e-g. Mathematics, Statistics, Engineering), 3+ years of experience using GCP Data Lake and Storage Services. Certifications in GCP are preferred (e-g. Professional Cloud Developer, Professional Cloud Database Engineer), Advanced proficiency with SQL, with experience in writing complex queries, optimizing for performance, and using SQL in large-scale data processing workflows, Proficiency in programming languages such as Python, Java, or Scala, with practical experience building data pipelines, automating data workflows, and integrating APIs for data ingestion, Five9 embraces diversity and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better we are. Five9 is an equal opportunity employer, View our privacy policy, including our privacy notice to California residents here: https://www,five9,/pt-pt/legal, Note: Five9 will never request that an applicant send money as a prerequisite for commencing employment with Five9, Show more Show less

Join us in bringing joy to customer experience. Five9 is a leading provider of cloud contact center software, bringing the power of cloud innovation to customers worldwide, Living our values everyday results in our team-first culture and enables us to innovate, grow, and thrive while enjoying the journey together. We celebrate diversity and foster an inclusive environment, empowering our employees to be their authentic selves, The Data Engineer will help design and implement a Google Cloud Platform (GCP) Data Lake, build scalable data pipelines, and ensure seamless access to data for business intelligence and data science tools. They will support a wide range of projects while collaborating closely with management teams and business leaders. The ideal candidate will have a strong understanding of data engineering principles, data warehousing concepts, and the ability to document technical knowledge into clear processes and procedures, This position is based out of one of the offices of our affiliate Acqueon Technologies in India, and will adopt the hybrid work arrangements of that location. You will be a member of the Acqueon team with responsibilities supporting Five9 products, collaborating with global teammates based primarily in the United States, Responsibilities. Design, implement, and maintain a scalable Data Lake on GCP to centralize structured and unstructured data from various sources (databases, APIs, cloud storage), Utilize GCP services including BigQuery, Dataflow, Pub/Sub, and Cloud Storage to optimize and manage data workflows, ensuring scalability, performance, and security, Collaborate closely with data analytics and data science teams to understand data needs, ensuring data is properly prepared for consumption by various systems (e-g. DOMO, Looker, Databricks). Implement best practices for data quality, consistency, and governance across all data pipelines and systems, ensuring compliance with internal and external standards, Continuously monitor, test, and optimize data workflows to improve performance, cost efficiency, and reliability, Maintain comprehensive technical documentation of data pipelines, systems, and architecture for knowledge sharing and future development, Requirements. Bachelor's degree in Computer Science, Data Engineering, Data Science, or a related quantitative field (e-g. Mathematics, Statistics, Engineering), 4+ years of experience using GCP Data Lake and Storage Services. Certifications in GCP are preferred (e-g. Professional Cloud Developer, Professional Cloud Database Engineer), Advanced proficiency with SQL, with experience in writing complex queries, optimizing for performance, and using SQL in large-scale data processing workflows, Proficiency in programming languages such as Python, Java, or Scala, with practical experience building data pipelines, automating data workflows, and integrating APIs for data ingestion, Five9 embraces diversity and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better we are. Five9 is an equal opportunity employer, View our privacy policy, including our privacy notice to California residents here: https://www,five9,/pt-pt/legal, Note: Five9 will never request that an applicant send money as a prerequisite for commencing employment with Five9, Show more Show less

About Us:. Our mission at micro1 is to match the most talented people in the world with their dream jobs. If you are looking to be at the forefront of AI innovation and work with some of the fastest growing companies in Silicon Valley, we invite you to apply for a role. By joining the micro1 community, your resume will become visible to top industry leaders, unlocking access to the best career opportunities on the market.. Job Summary:. We are seeking an innovative and highly skilled AI Engineer to join our customer’s team. In this dynamic role, you will design and deploy advanced Generative AI and LLM solutions, driving impactful real-world applications. Your expertise will directly shape our customer’s AI products, working in a collaborative, forward-thinking environment.. Key Responsibilities:. Develop, fine-tune, and deploy Large Language Models (LLMs) and Generative AI applications for production environments.. Engineer robust RAG (Retrieval Augmented Generation) pipelines utilizing vector stores such as FAISS, Pinecone, or Weaviate.. Implement and optimize prompt engineering strategies for enhanced performance of commercial and open-source LLMs (OpenAI, Anthropic, Hugging Face, etc.).. Integrate NLP techniques and transformer architectures to boost customer’s product capabilities.. Collaborate cross-functionally to define AI-driven product features and recommend technical enhancements.. Write clean, efficient Python code while adhering to best practices in code quality and documentation.. Communicate technical concepts effectively in both written and verbal forms with stakeholders and team members.. Required Skills and Qualifications:. Strong programming proficiency in Python for AI/ML projects.. Hands-on experience with LLM frameworks such as LangChain or Haystack.. Proficient in designing and deploying RAG pipelines, including leveraging vector database technologies (e.g., Redis, FAISS, Pinecone, Weaviate).. Deep understanding of NLP fundamentals and transformer models.. Demonstrated experience with both commercial and open-source LLMs.. Expertise in prompt engineering and embeddings.. Exceptional written and verbal communication abilities, with an emphasis on clarity and collaboration.. Preferred Qualifications:. Experience deploying GenAI applications at scale in production environments.. Background in designing customer-facing AI solutions.. Prior experience collaborating in hybrid or distributed teams.. Show more Show less

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Hyderabad, Telangana, India; Bengaluru, Karnataka, India; Gurugram, Haryana, India.Minimum qualifications:. Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.. 3 years of experience in building Machine Learning or Data Science solutions.. Experience in Python, Scala, R, or related, with data structures, algorithms, and software design.. Ability to travel up to 30% of the time as needed.. Preferred qualifications:. Experience with recommendation engines, data pipelines, or distributed machine learning with data analytics, data visualization techniques and software, and deep learning frameworks.. Experience in software development, professional services, solution engineering, technical consulting with architecting and rolling out new technology and solution initiatives.. Experience with Data Science techniques.. Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, Extract, Transform, and Load/Extract, Load and Transform (ETL/ELT) and reporting tools and environments.. Knowledge of cloud computing, including virtualization, hosted services, multi-tenant cloud infrastructures, storage systems, and content delivery networks.. Excellent communication skills.. About the jobThe Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.. In this role, you will play a role in ensuring that customers have the best experience moving to the Google Cloud machine learning (ML) suite of products. You will design and implement machine learning solutions for customer use cases, leveraging core Google products. You will work with customers to identify opportunities to transform their business with machine learning, and will travel to customer sites to deploy solutions and deliver workshops designed to educate and empower customers to realize the potential of Google Cloud. You will have access to Google’s technology to monitor application performance, debug and troubleshoot product code, and address customer and partner needs.You will lead the execution of adopting the Google Cloud Platform solutions to the customer’s requirements.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.. Responsibilities. Deliver big data and machine learning solutions and solve technical customer tests.. Act as a trusted technical advisor to Google’s customers.. Identify new product features and feature gaps, provide guidance on existing product tests, and collaborate with Product Managers and Engineers to influence the roadmap of Google Cloud Platform.. Deliver recommendations, tutorials, blog articles, and technical presentations adapting to different levels of business and technical stakeholders.. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are 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. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .. Show more Show less

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Gurugram, Haryana, India; Bengaluru, Karnataka, India; Hyderabad, Telangana, India.Minimum qualifications:. Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.. Experience building Machine Learning or Data Science solutions.. Experience writing software in Python, Scala, R, or similar.. Experience with data structures, algorithms, and software design.. Ability to travel up to 30% of the time.. Preferred qualifications:. Experience working with recommendation engines, data pipelines, or distributed machine learning, data analytics, data visualization techniques and software, and deep learning frameworks.. Experience in software development, professional services, solution engineering, technical consulting, architecting and rolling out new technology and solution initiatives.. Experience with core Data Science techniques.. Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools and environments.. Knowledge of cloud computing, including virtualization, hosted services, multi-tenant cloud infrastructures, storage systems, and content delivery networks.. Excellent customer-facing communication and listening skills.. About The Job. The Google Cloud Platform team helps customers transform and build what's next for their business, all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers, developers, small and large businesses, educational institutions and government agencies see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.. As a Cloud Engineer, you will play a key role in ensuring that customers have the best experience moving to the Google Cloud machine learning (ML) suite of products. You will design and implement machine learning solutions for customer use cases, leveraging core Google products. You will work with customers to identify opportunities to transform their business with machine learning, and will travel to customer sites to deploy solutions and deliver workshops designed to educate and empower customers to realize the full potential of Google Cloud. You will have access to Google’s technology to monitor application performance, debug and troubleshoot product code, and address customer and partner needs. In this role, you will lead the timely execution of adopting the Google Cloud Platform solutions to the customer’s requirements.. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.. Responsibilities. Deliver effective big data and machine learning solutions and solve technical customer issues.. Act as a technical advisor to Google’s customers.. Identify new product features and feature gaps, provide guidance on existing product issues, and collaborate with Product Managers and Engineers to influence the roadmap of Google Cloud Platform.. Deliver best practice recommendations, tutorials, blog articles, and technical presentations adapting to different levels of key business and technical stakeholders.. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are 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. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .. Show more Show less

Minimum qualifications:. Bachelor's degree or equivalent practical experience.. 8 years of experience in product management or related technical role.. Preferred qualifications:. Experience working in an Agile development environment, along with understanding of Machine Learning (ML) concepts, data science methodologies, and ML Operations principles.. Experience in HR technology, Human Capital Management (HCM), or a related domain.. Experience with cloud platforms and data analytics tools along with ability to work with datasets and derive insights.. Excellent communication and presentation skills along with the ability to influence cross-functional teams.. Excellent leadership, coaching, and team-building skills.. About The Job. At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day.. In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.. One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.. Responsibilities. Define and advocate a product direction and roadmap. Conduct market and user research to uncover opportunities for AI innovation. Guide a team of Product Managers, supporting their growth and establishing standard procedures in product discovery and go-to-market strategies.. Lead the entire product lifecycle, translate complex business needs into product requirements, work with Engineering and Data Science to ensure feasibility.. Cultivate a empathy for HR processes and users, for driving transformational change.. Serve as the liaison between business stakeholders and technical teams, communicate progress and expectations.. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are 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. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .. Show more Show less